Engineering › Electrical and Electronic Engineering

Integrated Energy Systems Optimization

Works Count: 41275

Wikipedia

Description

This cluster of papers focuses on the integration of renewable energy systems, including wind, water, and solar power, into existing power grids. It covers topics such as district heating, electricity storage, energy modeling, power grid flexibility, and the transition towards decarbonized energy systems.

Keywords

Renewable Energy; Energy Systems; District Heating; Electricity Storage; Energy Modeling; Wind Power Integration; Smart Energy Systems; Power Grid Flexibility; Energy Transition; Decarbonization

Integrated Modeling and Assessment of the Operational Impact of Power-to-Gas (P2G) on Electrical and Gas Transmission Networks

2015-05-15

Stephen Clegg , Pierluigi Mancarella

Power-to-gas (P2G) is the process whereby electricity is used to produce hydrogen or synthetic natural gas. The electricity for the P2G process could, for instance, come from renewable energy which … Power-to-gas (P2G) is the process whereby electricity is used to produce hydrogen or synthetic natural gas. The electricity for the P2G process could, for instance, come from renewable energy which would otherwise be curtailed due to system or line constraints. The existing natural gas network could then potentially be used as a means to store, transport, and reutilize this energy, thus preventing its waste. While there are several ongoing discussions on P2G in different countries, these are generally not backed by quantitative studies on its potential network implications and benefits. To bridge this gap, this paper introduces an original methodology to analyze different P2G processes and assess their operational impacts on both electricity and gas transmission networks. This is carried out by using a novel integrated model specifically developed for the simulation of operational interdependences between the two networks considering P2G. To demonstrate the several innovative features of the proposed model, technical, environmental, and economic operational aspects of P2G and its potential benefits are analyzed on the case of the Great Britains system, also providing insights into relief of gas and electrical transmission network constraints.

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OSeMOSYS: The Open Source Energy Modeling System

2011-08-06

Mark Howells , Holger Rogner , Neil Strachan +7 more

A review of computer tools for analysing the integration of renewable energy into various energy systems

2009-10-26

David Connolly , Henrik Lund , Brian Vad Mathiesen +1 more

District heating and cooling: Review of technology and potential enhancements

2011-05-09

Behnaz Rezaie , Marc A. Rosen

Markal, a linear-programming model for energy systems analysis: Technical description of the bnl version

1981-01-01

L.G. Fishbone , H. Abilock

As part of a project to assess the value of new energy technologies, an international group of researchers created a linear-programming model of national energy systems. This model, MARKAL, is … As part of a project to assess the value of new energy technologies, an international group of researchers created a linear-programming model of national energy systems. This model, MARKAL, is driven by useful energy demands, optimizes over several time periods collectively, and allows multiobjective analyses to be performed quite easily. We describe here the technical structure of the model, defining the functions determined when satisfying the model's relations and the parameters that must be supplied to give the model content.

Grid flexibility and storage required to achieve very high penetration of variable renewable electricity

2011-02-11

Paul Denholm , Maureen Hand

Energy sector vulnerability to climate change: A review

2011-12-24

Roberto Schaeffer , Alexandre Szklo , André F.P. Lucena +6 more

MES (multi-energy systems): An overview of concepts and evaluation models

2013-11-22

Pierluigi Mancarella

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Lessons for effective renewable electricity policy from Denmark, Germany and the United Kingdom

2007-07-14

Judith Lipp

4th Generation District Heating (4GDH)

2014-03-31

Henrik Lund , S. Werner , Robin Wiltshire +4 more

The role of district heating in future renewable energy systems

2010-01-20

Henrik Lund , Birger Lindberg Møller , Brian Vad Mathiesen +1 more

Distributed multi-generation: A comprehensive view

2008-02-11

Gianfranco Chicco , Pierluigi Mancarella

The Technology Path to Deep Greenhouse Gas Emissions Cuts by 2050: The Pivotal Role of Electricity

2011-11-25

James H. Williams , Andrew DeBenedictis , Rebecca Ghanadan +5 more

Several states and countries have adopted targets for deep reductions in greenhouse gas emissions by 2050, but there has been little physically realistic modeling of the energy and economic transformations … Several states and countries have adopted targets for deep reductions in greenhouse gas emissions by 2050, but there has been little physically realistic modeling of the energy and economic transformations required. We analyzed the infrastructure and technology path required to meet California's goal of an 80% reduction below 1990 levels, using detailed modeling of infrastructure stocks, resource constraints, and electricity system operability. We found that technically feasible levels of energy efficiency and decarbonized energy supply alone are not sufficient; widespread electrification of transportation and other sectors is required. Decarbonized electricity would become the dominant form of energy supply, posing challenges and opportunities for economic growth and climate policy. This transformation demands technologies that are not yet commercialized, as well as coordination of investment, technology development, and infrastructure deployment.

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Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050

2008-05-17

Henrik Lund , Brian Vad Mathiesen

The role of compressed air energy storage (CAES) in future sustainable energy systems

2009-03-06

Henrik Lund , Georges Salgi

Grid-connected versus stand-alone energy systems for decentralized power—A review of literature

2009-03-07

Deepak Paramashivan Kaundinya , P. Balachandra , N. H. Ravindranath

Energy systems modeling for twenty-first century energy challenges

2014-02-20

Stefan Pfenninger , Adam Hawkes , James Keirstead

Renewable energy strategies for sustainable development

2006-12-19

Henrik Lund

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Increasing the Flexibility of Combined Heat and Power for Wind Power Integration in China: Modeling and Implications

2014-09-29

Xinyu Chen , Chongqing Kang , Mark O’Malley +6 more

With the largest installed capacity in the world, wind power in China is experiencing a ~ 20% curtailment during operation. The large portion of the generation capacity from inflexible combined … With the largest installed capacity in the world, wind power in China is experiencing a ~ 20% curtailment during operation. The large portion of the generation capacity from inflexible combined heat and power (CHP) is the major barrier for integrating this variable power source. This paper explores opportunities for increasing the flexibility of CHP units using electrical boilers and heat storage tanks for better integration of wind power. A linear model is proposed for the centralized dispatch for integrated energy systems considering both heat and power, with detailed modeling of the charging processes of the heat storage tanks. The model balances heat and power demands in multiple areas and time periods with various energy sources, including CHP, wind power, electrical boilers, and heat storage. The impact of introducing electrical boilers and heat storage systems is examined using a simple test system with characteristics similar to those of the power systems in Northern China. Our results show that both electrical boilers and heat storage tanks can improve the flexibility of CHP units: introducing electrical boilers is more effective at reducing wind curtailment, whereas heat storage tanks save more energy in the energy system as a whole, which reflect a different heating efficiency of the two solutions.

Combined analysis of electricity and heat networks

2015-03-12

Xuezhi Liu , Jianzhong Wu , Nick Jenkins +1 more

Energy supply systems are usually considered as individual sub-systems with separate energy vectors. However, the use of Combined Heat and Power (CHP) units, heat pumps and electric boilers creates linkages … Energy supply systems are usually considered as individual sub-systems with separate energy vectors. However, the use of Combined Heat and Power (CHP) units, heat pumps and electric boilers creates linkages between electricity and heat networks. Two combined analysis methods were developed to investigate the performance of electricity and heat networks as an integrated whole. These two methods were the decomposed and integrated electrical-hydraulic-thermal calculation techniques in the forms of power flow and simple optimal dispatch. Both methods were based on models of the electrical network, hydraulic and thermal circuits, and the coupling components, focusing on CHP units and circulation pumps. A case study of Barry Island electricity and district heating networks was conducted, showing how both electrical and heat demand in a self-sufficient system (no interconnection with external systems) were met using CHP units. The comparison showed that the integrated method requires less iteration than the decomposed method.

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Wind Power in Power Systems

2005-01-21

Thomas Ackermann

As environmental concerns have focussed attention on the generation of electricity from clean and renewable sources, wind energy has become the world's fastest growing energy source. The authors dr ... As environmental concerns have focussed attention on the generation of electricity from clean and renewable sources, wind energy has become the world's fastest growing energy source. The authors dr ...

Smart Energy Europe: The technical and economic impact of one potential 100% renewable energy scenario for the European Union

2016-03-27

David Connolly , Henrik Lund , Brian Vad Mathiesen

100% Renewable energy systems, climate mitigation and economic growth

2010-04-01

Brian Vad Mathiesen , Henrik Lund , Kenneth Karlsson

Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system

2013-11-07

David Connolly , Henrik Lund , Brian Vad Mathiesen +7 more

Optimal Power Flow of Multiple Energy Carriers

2007-02-01

Martin Geidl , Göran Andersson

This paper presents an approach for combined optimization of coupled power flows of different energy infrastructures such as electricity, gas, and district heating systems. A steady state power flow model … This paper presents an approach for combined optimization of coupled power flows of different energy infrastructures such as electricity, gas, and district heating systems. A steady state power flow model is presented that includes conversion and transmission of an arbitrary number of energy carriers. The couplings between the different infrastructures are explicitly taken into account based on the new concept of energy hubs. With this model, combined economic dispatch and optimal power flow problems are stated covering transmission and conversion of energy. A general optimality condition for optimal dispatch of multiple energy carriers is derived, and the approach is compared with the standard method used for electrical power systems. Finally, the developed tools are demonstrated in examples

Energetic communities for community energy: A review of key issues and trends shaping integrated community energy systems

2015-12-18

Binod Prasad Koirala , Elta Koliou , Jonas Friege +2 more

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Combined Heat and Power Dispatch Considering Pipeline Energy Storage of District Heating Network

2015-09-04

Zhigang Li , Wenchuan Wu , Mohammad Shahidehpour +2 more

The regional integration of variable wind power could be restricted by a strong coupling of electric power generation dispatch and heat supply of combined heat-and-power (CHP) units. The coupling in … The regional integration of variable wind power could be restricted by a strong coupling of electric power generation dispatch and heat supply of combined heat-and-power (CHP) units. The coupling in cold seasons precludes CHPs from providing the necessary flexibility for managing the wind power dispatch. The lack of flexibility problem can be tackled by exploiting the energy storage capability of a district heating network (DHN) which decouples the strong linkage of electric power and heat supplies. In this paper, a combined heat and power dispatch (CHPD) is formulated to coordinate the operation of electric power system (EPS) and district heating system (DHS). The proposed CHPD model which is solved by an iterative method considers the temperature dynamics of DHN for exploiting energy storage as an option for managing the variability of wind energy. The simulation results are discussed for several test systems to demonstrate the potential benefits of the proposed method in terms of operation economics, wind power utilization, as well as the potential benefits for real systems.

Renewable and Efficient Electric Power Systems

2004-07-28

Gilbert M. Masters

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Using bias-corrected reanalysis to simulate current and future wind power output

2016-09-04

Iain Staffell , Stefan Pfenninger

Reanalysis models are rapidly gaining popularity for simulating wind power output due to their convenience and global coverage. However, they should only be relied upon once thoroughly proven. This paper … Reanalysis models are rapidly gaining popularity for simulating wind power output due to their convenience and global coverage. However, they should only be relied upon once thoroughly proven. This paper reports the first international validation of reanalysis for wind energy, testing NASA's MERRA and MERRA-2 in 23 European countries. Both reanalyses suffer significant spatial bias, overestimating wind output by 50% in northwest Europe and underestimating by 30% in the Mediterranean. We derive national correction factors, and show that after calibration national hourly output can be modelled with R2 above 0.95. Our underlying data are made freely available to aid future research. We then assess Europe's wind resources with twenty-year simulations of the current and potential future fleets. Europe's current average capacity factor is 24.2%, with countries ranging from 19.5% (Germany) to 32.4% (Britain). Capacity factors are rising due to improving technology and locations; for example, Britain's wind fleet is now 23% more productive than in 2005. Based on the current planning pipeline, we estimate Europe's average capacity factor could increase by nearly a third to 31.3%. Countries with large stakes in the North Sea will see significant gains, with Britain's average capacity factor rising to 39.4% and Germany's to 29.1%.

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Achieving a 100% Renewable Grid: Operating Electric Power Systems with Extremely High Levels of Variable Renewable Energy

2017-03-01

Benjamin Kroposki , Brian Johnson , Yingchen Zhang +4 more

What does it mean to achieve a 100% renewable grid? Several countries already meet or come close to achieving this goal. Iceland, for example, supplies 100% of its electricity needs … What does it mean to achieve a 100% renewable grid? Several countries already meet or come close to achieving this goal. Iceland, for example, supplies 100% of its electricity needs with either geothermal or hydropower. Other countries that have electric grids with high fractions of renewables based on hydropower include Norway (97%), Costa Rica (93%), Brazil (76%), and Canada (62%). Hydropower plants have been used for decades to create a relatively inexpensive, renewable form of energy, but these systems are limited by natural rainfall and geographic topology. Around the world, most good sites for large hydropower resources have already been developed. So how do other areas achieve 100% renewable grids? Variable renewable energy (VRE), such as wind and solar photovoltaic (PV) systems, will be a major contributor, and with the reduction in costs for these technologies during the last five years, large-scale deployments are happening around the world.

Present situation and future prospect of renewable energy in China

2017-03-26

Dahai Zhang , Jiaqi Wang , Yonggang Lin +5 more

International review of district heating and cooling

2017-04-12

S. Werner

The purpose with this review is to provide a presentation of the background for the current position for district heating and cooling in the world, with some deeper insights into … The purpose with this review is to provide a presentation of the background for the current position for district heating and cooling in the world, with some deeper insights into European conditions. The review structure considers the market, technical, supply, environmental, institutional, and future contexts. The main global conclusions are low utilisation of district heating in buildings, varying implementation rates with respect to countries, moderate commitment to the fundamental idea of district heating, low recognition of possible carbon dioxide emission reductions, and low awareness in general of the district heating and cooling benefits. The cold deliveries from district cooling systems are much smaller than heat deliveries from district heating systems. The European situation can be characterised by higher commitment to the fundamental idea of district heating, lower specific carbon dioxide emissions, and higher awareness of the district heating and cooling benefits. The conclusions obtained from the six contexts analysed show that district heating and cooling systems have strong potentials to be viable heat and cold supply options in a future world. However, more efforts are required for identification, assessment, and implementation of these potentials in order to harvest the global benefits with district heating and cooling. • Low utilisation of district heating in buildings. • Low awareness of the district heating and cooling benefits. • Variation in reaching the fundamental idea of district heating. • Promising tool for further mitigation of climate change. • District cold deliveries are still small.

Smart energy and smart energy systems

2017-05-20

Henrik Lund , Poul Alberg Østergaard , David Connolly +1 more

The underestimated potential of solar energy to mitigate climate change

2017-08-25

Felix Creutzig , Peter Agoston , Jan Christoph Goldschmidt +3 more

Sociotechnical transitions for deep decarbonization

2017-09-21

Frank W. Geels , Benjamin K. Sovacool , Tim Schwanen +1 more

Accelerating innovation is as important as climate policy Accelerating innovation is as important as climate policy

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Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system

2018-07-04

Tom Brown , David Schlachtberger , Alexander Kies +2 more

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A review of modelling tools for energy and electricity systems with large shares of variable renewables

2018-08-20

Hans-Kristian Ringkjøb , Peter M. Haugan , Ida Marie Solbrekke

This paper presents a thorough review of 75 modelling tools currently used for analysing energy and electricity systems. Increased activity within model development in recent years has led to several … This paper presents a thorough review of 75 modelling tools currently used for analysing energy and electricity systems. Increased activity within model development in recent years has led to several new models and modelling capabilities, partly motivated by the need to better represent the integration of variable renewables. The purpose of this paper is to give an updated overview of currently available modelling tools, their capabilities and to serve as an aid for modellers in their process of identifying and choosing an appropriate model. A broad spectrum of modelling tools, ranging from small-scale power system analysis tools to global long-term energy models, has been assessed. Key information regarding the general logic, spatiotemporal resolution as well as the technological and economic features of the models is presented in three comprehensive tables. This information has been validated and updated by model developers or affiliated contact persons, and is state-of-the-art as of the submission date. With the available suite of modelling tools, most challenges of today's electricity system can be assessed. For a future with an increasing share of variable renewables and increasing electrification of the energy system, there are some challenges such as how to represent short-term variability in long-term studies, incorporate the effect of climate change and ensure openness and transparency in modelling studies.

5th generation district heating and cooling systems: A review of existing cases in Europe

2019-02-10

Simone Buffa , Marco Cozzini , Matteo D’Antoni +2 more

This article investigates 40 thermal networks in operation in Europe that are able to cover both the heating and cooling demands of buildings by means of distributed heat pumps installed … This article investigates 40 thermal networks in operation in Europe that are able to cover both the heating and cooling demands of buildings by means of distributed heat pumps installed at the customer substations. The technology of thermal networks that work at a temperature close to the ground, can strongly contribute to the decarbonisation of the heating and cooling sector and furthermore exploit a multitude of low temperature heat sources. Nevertheless, the nomenclature used in literature shows that misinterpretations could easily result when comparing the different concepts of thermal networks that operate at a temperature level lower than traditional district heating. The scope of this work is to revise the definitions encountered and to introduce an unambiguous definition of Fifth-Generation District Heating and Cooling networks. A drawback-benefit analysis is presented to identify the pros and cons of such technology. The survey on the current networks shows that on average three Fifth-Generation District Heating and Cooling systems per year have entered the heating and cooling market in the last decade. Pioneer countries in such technology are Germany and Switzerland. For some networks, the assessed Linear Heating Power Demand Density results are lower than the feasibility threshold adopted in traditional district heating. High performances and low non-renewable primary energy factors are achieved in systems that exploit a very high share of renewable or urban excess heat sources. With respect to traditional district heating, the surveyed pumping energy consumptions result one order of magnitude higher, whereas the implemented control strategies can be completely different, leading the network temperature to float freely. • Different definitions of 5GDHC systems have been reviewed. • The key features of 40 5GDHC systems have been statistically analysed. • 5GDHC flexibility allows exploiting a multitude of local heat sources. • Existing 5GDHC networks are extended up to a district-scale achieving low primary energy factors.

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Status and perspectives on 100% renewable energy systems

2019-03-18

Kenneth Hansen , Christian Breyer , Henrik Lund

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Challenges and solution technologies for the integration of variable renewable energy sources—a review

2019-07-04

Simon R. Sinsel , Rhea L. Riemke , Volker H. Hoffmann

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Sustainable development using renewable energy technology

2019-08-19

Poul Alberg Østergaard , Neven Duić , Younes Noorollahi +2 more

Quantifying the impacts of climate change and extreme climate events on energy systems

2020-02-17

A.T.D. Perera , Vahid M. Nik , Deliang Chen +2 more

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Challenges in the decarbonization of the energy sector

2020-06-06

Elisa Papadis , George Tsatsaronis

In order to limit the effects of climate change, the carbon dioxide emissions associated with the energy sector need to be reduced. Significant reductions can be achieved by using appropriate … In order to limit the effects of climate change, the carbon dioxide emissions associated with the energy sector need to be reduced. Significant reductions can be achieved by using appropriate technologies and policies. In the context of recent discussions about climate change and energy transition, this article critically reviews some technologies, policies and frequently discussed solutions. The options for carbon emission reductions are grouped into (1) generation of secondary energy carriers, (2) end-use energy sectors and (3) sector interdependencies. The challenges on the way to a decarbonized energy sector are identified with respect to environmental sustainability, security of energy supply, economic stability and social aspects. A global carbon tax is the most promising instrument to accelerate the process of decarbonization. Nevertheless, this process will be very challenging for humanity due to high capital requirements, the competition among energy sectors for decarbonization options, inconsistent environmental policies and public acceptance of changes in energy use.

Challenges of renewable energy penetration on power system flexibility: A survey

2020-08-13

Semich Impram , Seçil Varbak Neşe , Bülent Oral

Flexibility in power systems is ability to provide supply-demand balance, maintain continuity in unexpected situations, and cope with uncertainty on supply-demand sides. The new method and management requirements to provide … Flexibility in power systems is ability to provide supply-demand balance, maintain continuity in unexpected situations, and cope with uncertainty on supply-demand sides. The new method and management requirements to provide flexibility have emerged from the trend towards power systems increasing renewable energy penetration with generation uncertainty and availability. In this study, the historical development of power system flexibility concept, the flexible power system characteristics, flexibility sources, and evaluation parameters are presented as part of international literature. The impact of variable renewable energy sources penetration on power system transient stability, small-signal stability, and frequency stability are discussed; the studies are presented to the researchers for further studies. Moreover, flexibility measurement studies are investigated, and methods of providing flexibility are evaluated.

PyPSA: Python for Power System Analysis

2018-01-16

Tom Brown , Jonas Hörsch , David Schlachtberger

Python for Power System Analysis (PyPSA) is a free software toolbox for simulating and optimising modern electrical power systems over multiple periods. PyPSA includes models for conventional generators with unit … Python for Power System Analysis (PyPSA) is a free software toolbox for simulating and optimising modern electrical power systems over multiple periods. PyPSA includes models for conventional generators with unit commitment, variable renewable generation, storage units, coupling to other energy sectors, and mixed alternating and direct current networks. It is designed to be easily extensible and to scale well with large networks and long time series. In this paper the basic functionality of PyPSA is described, including the formulation of the full power flow equations and the multi-period optimisation of operation and investment with linear power flow equations. PyPSA is positioned in the existing free software landscape as a bridge between traditional power flow analysis tools for steady-state analysis and full multi-period energy system models. The functionality is demonstrated on two open datasets of the transmission system in Germany (based on SciGRID) and Europe (based on GridKit). Funding statement: This research was conducted as part of the CoNDyNet project, which is supported by the German Federal Ministry of Education and Research under grant no. 03SF0472C. The responsibility for the contents lies solely with the authors

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System LCOE: What are the costs of variable renewables?

2013-12-01

Falko Ueckerdt , Lion Hirth , Gunnar Luderer +1 more

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Cost, environmental impact, and resilience of renewable energy under a changing climate: a review

2022-10-28

Ahmed I. Osman , Lin Chen , Mingyu Yang +5 more

Abstract Energy derived from fossil fuels contributes significantly to global climate change, accounting for more than 75% of global greenhouse gas emissions and approximately 90% of all carbon dioxide emissions. … Abstract Energy derived from fossil fuels contributes significantly to global climate change, accounting for more than 75% of global greenhouse gas emissions and approximately 90% of all carbon dioxide emissions. Alternative energy from renewable sources must be utilized to decarbonize the energy sector. However, the adverse effects of climate change, such as increasing temperatures, extreme winds, rising sea levels, and decreased precipitation, may impact renewable energies. Here we review renewable energies with a focus on costs, the impact of climate on renewable energies, the impact of renewable energies on the environment, economy, and on decarbonization in different countries. We focus on solar, wind, biomass, hydropower, and geothermal energy. We observe that the price of solar photovoltaic energy has declined from $0.417 in 2010 to $0.048/kilowatt-hour in 2021. Similarly, prices have declined by 68% for onshore wind, 60% for offshore wind, 68% for concentrated solar power, and 14% for biomass energy. Wind energy and hydropower production could decrease by as much as 40% in some regions due to climate change, whereas solar energy appears the least impacted energy source. Climate change can also modify biomass productivity, growth, chemical composition, and soil microbial communities. Hydroelectric power plants are the most damaging to the environment; and solar photovoltaics must be carefully installed to reduce their impact. Wind turbines and biomass power plants have a minimal environmental impact; therefore, they should be implemented extensively. Renewable energy sources could decarbonize 90% of the electricity industry by 2050, drastically reducing carbon emissions, and contributing to climate change mitigation. By establishing the zero carbon emission decarbonization concept, the future of renewable energy is promising, with the potential to replace fossil fuel-derived energy and limit global temperature rise to 1.5 °C by 2050.

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Renewable Energy Resources

2006-01-16

John Twidell , Tony Weir

In the years between the first and this second edition, renewable energy has come of age; it makes good sense, good government and good business. This book considers the unchanging … In the years between the first and this second edition, renewable energy has come of age; it makes good sense, good government and good business. This book considers the unchanging principles of renewable energy technologies alongside modern application and case studies. In this second edition, the presentation of the fundamentals has been improved throughout, and chapters on economics and institutional factors have been added. Likewise, sections on environmental impact have been added to each technology chapter. Renewable Energy Resources supports multi-disciplinary masters degrees in science and engineering, and also specialist modules in science and engineering first degrees, as well as being of use to practitioners. Each chapter begins with fundamental theory from a physical science perspective, then considers applied examples and developments, and finally concludes with a set of workable problems and their solutions.

Analysis and optimization of Türkiye's nuclear energy policies in achieving the net-zero emission target

2025-06-25

Esra Çelik , Saltuk Buğra Selçuklu | Progress in Nuclear Energy

Design optimization for grid integration of a high-temperature thermal energy storage system

2025-06-25

Ashwin Sandeep , Shomik Verma , Kyle Buznitsky +1 more | Applied Energy

A Data-Driven Method for Deriving the Dynamic Characteristics of Marginal Carbon Emissions for Power Systems

2025-06-24

Bing Fang , Jiayi Zhang , Shuangyin Chen +3 more | Energies

Understanding the dynamic carbon emission status is vital for turning a power system into a low-carbon system. However, the existing research has normally considered the average carbon emissions as the … Understanding the dynamic carbon emission status is vital for turning a power system into a low-carbon system. However, the existing research has normally considered the average carbon emissions as the indicator for the operation and planning of power systems. Detailed carbon emission responsibility is not well allocated to different demands within power systems, leading to inefficient emission control. To address this problem, this paper develops a data-driven method for accurately finding the characteristics of the nodal marginal emission factor without the requirement of real-time optimal power flow (OPF) simulation. First, the nodal marginal emission factor system is derived based on actual data covering a timespan of one year on top of the IEEE 118 system. Then, a Graphical Neural Network (GNN) is adopted to map both the spatial and temporal relationship between nodal marginal emission and other features, thereby identifying the marginal emission characteristics for different nodes of power transmission systems. Through case studies, fine-tuned GNNs estimate all nodal marginal emission factor (NMEF) values for power systems without the requirement of OPF simulation and achieve a 5.75% Normalized Root Mean Squared Error (nRMSE) and 2.52% Normalized Mean Absolute Error (nMAE). Last but not least, this paper brings a new finding: a strong inclination to reduce marginal emission rates would compromise economic operation for power systems.

Unlocking the Economic and Business Potential of District Heating: The State of the Art and a Research Agenda

2025-06-24

Amir Maghssudipour , Marco Noro , Giovanni Giacomello +2 more | Sustainability

District heating (DH) systems offer a sustainable solution to local energy needs by improving energy efficiency, reducing emissions, and fostering economic development. Despite their growing technological relevance, DH systems remain … District heating (DH) systems offer a sustainable solution to local energy needs by improving energy efficiency, reducing emissions, and fostering economic development. Despite their growing technological relevance, DH systems remain underexplored in the economics, business, and management literature. This study addresses this gap by conducting a bibliometric analysis of DH research at the intersection of these fields, using data extracted from the Web of Science. We identify major theoretical foundations, including the resource-based view, stakeholder theory, and institutional economics, and explore key themes such as economic viability, business model innovation, regulatory frameworks, and sustainability strategies. By framing DH systems within broader economic and managerial discourses, our findings highlight the interdisciplinary nature of DH research and suggest critical avenues for future investigation, including the role of emerging technologies, consumer behavior, and policy design, and contribute to low-carbon, sustainable development.

Equilibrium strategy-based economic optimization toward wind–battery storage systems in spot electricity markets

2025-06-24

Tingting Liu , Zheng Jing-li , Jingqi Dai | Journal of Energy Storage

Toward low-carbon exploitation: a hierarchical framework for integrated energy systems

2025-06-24

Qiang Guo | Electrical Engineering

The role of excess heat in reducing the environmental impacts of district heating systems

2025-06-23

M Gustavsen , Maria Mikkelsen , F Luft +2 more | Journal of Environmental Management

Effects of Climate Change on Wind Power Generation: A Case Study for the German Bight

2025-06-23

Reinhold Lehneis | Energies

Driven by the demands of climate change mitigation, many countries have begun large-scale electricity production from variable renewables, such as solar PV and wind power. Electricity production from wind turbines, … Driven by the demands of climate change mitigation, many countries have begun large-scale electricity production from variable renewables, such as solar PV and wind power. Electricity production from wind turbines, in particular, strongly depends on local weather conditions and their changes caused by climate change. Thus, for many countries with a high share of wind power generation, such as Germany, two essential questions arise: how will climate change affect electricity production, and how strong will be this impact for different RCPs? To better assess the impact on existing onshore wind turbines, spatially and temporally resolved data on their power generation are required. In order to create such disaggregated data, this study uses a physical simulation model and climate data modified for the RCP 2.6, RCP 4.5, and RCP 8.5 scenarios. To investigate the effects on a significant region with very high wind power generation in Germany, the numerical simulations were carried out on an ensemble of 22 onshore wind turbines with an installed capacity of 65.5 MW in the German Bight. After model validation, the power generation from this turbine ensemble was simulated for the high-wind year 2008 and the low-wind year 2010. The simulation results are presented with a high temporal resolution, and the observed changes are discussed for the applied RCPs. In summary, the resulting wind power generation of the entire plant ensemble decreases with increasing RCP to values of up to nearly 3 GWh for both years.

Development of technologies for automated control of heat supply systems based on renewable energy sources

2025-06-23

Askhat Aliyev , Kanat Dyussenov , Dinara Japarova +2 more | Polityka Energetyczna – Energy Policy Journal

Low-Carbon Optimal Operation of Multi-Energy Coupled Park Integrated Energy System Considering Carbon Emission Costs

2025-06-23

Pengyu Wang , Kangli Liu , Jianfeng Zhao +5 more | Journal of Electrical Engineering and Technology

An Analytical Study on the Correlations Between Natural Gas Pipeline Network Scheduling Decisions and External Environmental Factors

2025-06-23

Changhao Wang , Bohong Wang , Ning Jia +3 more | Energies

A pipeline network is an important transportation mode of natural gas, and different external factors will affect the development of natural gas scheduling plans to different degrees. However, the specific … A pipeline network is an important transportation mode of natural gas, and different external factors will affect the development of natural gas scheduling plans to different degrees. However, the specific correlation between each external environmental factor and pipeline network scheduling decision is not clear at this stage. This paper developed a hybrid method with Pearson’s correlation coefficient and Spearman’s correlation coefficient to study the correlations between climate temperature, total gas supply, economic conditions, other energy consumption and natural gas pipeline scheduling plans. The results showed that the correlation between natural gas pipeline output and climate temperature is good, presenting a significance level of 5% and below; in contrast, the correlations with economic conditions and other factors are less significant but still reach a significance level of 10%. Meanwhile, taking energy consumption as the object of study, it was found that the correlation between natural gas consumption and electric energy, crude oil and crude coal is good, showing a significance level of 5% and below. Among them, there is a significant positive correlation between natural gas consumption and electric energy consumption, and between natural gas consumption and crude oil consumption, which reveals the synergistic effects within the energy system.

Optimal Planning and Techno-Economic Analysis of P2G-Multi-Energy Systems

2025-06-23

Mtamabari Torbira , Cuong D. Dao , Ahmed Darwish +1 more | Sustainability

Multi-energy systems (MESs) are designed to convert, store, and distribute energy to diverse end-users, including those in the industrial, commercial, residential, and agricultural sectors. This study proposes an integrated optimal … Multi-energy systems (MESs) are designed to convert, store, and distribute energy to diverse end-users, including those in the industrial, commercial, residential, and agricultural sectors. This study proposes an integrated optimal planning optimization model for the techno-economic assessment of an MES integrated with power-to-gas (P2G) to meet electricity, heating, and cooling requirements while enabling sustainable energy solutions. The goal of the system optimal planning is to appropriately size the MES components to minimize the total planning costs. This includes not only the investment and operation costs but also the emissions cost and the cost of energy not supplied (ENS). The study implements P2G, electricity demand response (E-DRP), and thermal demand response (T-DRP), with four distinct operational scenarios considered for optimal planning, to evaluate the benefits of adopting MESs. A comprehensive validation study is presented based on a case study farm in Nigeria, with an MES investment model developed to assess feasibility. The results show that the integration of P2G with E-DRP and T-DRP gives the best operational scenario and planning cost for this farming application integration, leading to potential savings of up to USD 2.77 million annually from the proposed MES adoption.

Research on the Economics of Multi-Energy Complementary Systems and Renewable Energy Integration in Medium and long-term and Peak Shaving Markets

2025-06-22

Ye Chen , Chuang Liu , Guoliang Bian | Strategic Planning for Energy and the Environment

Under the driving force of energy green transition and the “dual carbon” goals, the installed capacity of renewable energy in the new power system has grown rapidly. However, its intermittent … Under the driving force of energy green transition and the “dual carbon” goals, the installed capacity of renewable energy in the new power system has grown rapidly. However, its intermittent and volatile characteristics have significantly increased the peak-shaving pressure on the power system and posed new challenges to the market-oriented accommodation of renewable energy. In response, the National Development and Reform Commission and the National Energy Administration issued the “Guiding Opinions on Promoting the Integrated Development of Power Source-Grid-Load-Storage and Multi-energy Complementarity”, advocating the optimization of peak-shaving capacity through multi-energy complementarity to improve the overall flexibility and adaptability of the system. Under the current framework of peak-shaving service rules, this study constructs a medium- and long-term joint peak-shaving market clearing model involving multi-energy complementary systems, comprehensively considering the economic operation costs of both thermal power and renewable energy. Using actual operation data from a certain region in Northeast China, simulation analysis is conducted to evaluate the role of the multi-energy complementary system in enhancing the market-oriented accommodation and market competitiveness of renewable energy. The results show that the wind-PV-thermal multi-energy complementary system achieved a total profit of 44.975369 million yuan in the medium- and long-term and peak-shaving two-stage market, significantly improving market competitiveness and economic benefits. At the same time, compared with external renewable energy, it reduced the market-oriented accommodation cost of renewable energy by 0.9994 million yuan. It significantly enhanced the energy supply security and operation reliability of the new power system, and has important theoretical and practical value for the large-scale accommodation of renewable energy.

Identifying the ecological operating space for explicit decisions of hydro–hydrogen–wind–photovoltaic hybrid power systems

2025-06-20

Wanyu Li , Yu Gong , Pan Liu | Energy

Electrification, flexibility or both? Emerging trends in European energy policy

2025-06-20

Adrien Mellot , Christian Moretti , Alejandro Nuñez-Jimenez +6 more | Energy Policy

Multi-Objective Scheduling Method for Integrated Energy System Containing CCS+P2G System Using Q-Learning Adaptive Mutation Black-Winged Kite Algorithm

2025-06-20

R. S. Shi , Xin Yan , Zuhao Fan +1 more | Sustainability

This study proposes an improved multi-objective black-winged kite algorithm (MOBKA-QL) integrating Q-learning with adaptive mutation strategies for optimizing multi-objective scheduling in integrated energy systems (IES). The algorithm dynamically selects mutation … This study proposes an improved multi-objective black-winged kite algorithm (MOBKA-QL) integrating Q-learning with adaptive mutation strategies for optimizing multi-objective scheduling in integrated energy systems (IES). The algorithm dynamically selects mutation strategies through Q-learning to enhance solution diversity and accelerate convergence. First, an optimal scheduling model is established, incorporating a carbon capture system (CCS), power-to-gas (P2G), solar thermal, wind power, and energy storage to minimize economic costs and carbon emissions while maximizing energy efficiency. Second, the heat-to-power ratio of the cogeneration system is dynamically adjusted according to load demand, enabling flexible control of combined heat and power (CHP) output. The integration of CCS+P2G further reduces carbon emissions and wind curtailment, with the produced methane utilized in boilers and cogeneration systems. Hydrogen fuel cells (HFCs) are employed to mitigate cascading energy losses. Using forecasted load and renewable energy data from a specific region, dispatch experiments demonstrate that the proposed system reduces economic costs and CO2 emissions by 14.63% and 13.9%, respectively, while improving energy efficiency by 28.84%. Additionally, the adjustable heat-to-power ratio of CHP yields synergistic economic, energy, and environmental benefits.

Research hotspots and development trends of virtual power plant in the energy transition: A bibliometric analysis

2025-06-20

Bin Zhong , Junhao Yang , Yong Chen +1 more | Energy Reports

Can South Africa Withdraw from Its Addiction to Cheap Coal? A Three-Phase Transition Framework for Industry

2025-06-20

F. M. Rozon , Michael Owen , Craig McGregor | Energies

The industrial sector dominates global energy usage, accounting for approximately 50% of total energy demand, with process heat representing two-thirds of this consumption. Although renewable energy technologies have become increasingly … The industrial sector dominates global energy usage, accounting for approximately 50% of total energy demand, with process heat representing two-thirds of this consumption. Although renewable energy technologies have become increasingly cost-competitive, industrial users have been hesitant to replace fossil fuels to meet heat generation requirements. This study presents a practical framework for industrial energy transition, proposing a phased approach toward sustainable manufacturing practices, processes, and energy technologies. The framework emphasises that while energy efficiency measures form the foundation, strategic technological investment priorities should target the replacement of fossil fuels with sustainable and renewable energy technologies. The formulation of the three-phased energy technology advancement framework is informed by techno-economic analyses across a range of technical interventions available to plant operators, namely beverage manufacturers. For South African conditions, cost–benefit analyses suggest that the industry will prioritise investments in photovoltaic and battery energy storage systems, driven by attractive returns on investment, which are expected to improve. However, sustainability plans and efforts must extend beyond immediate financial returns, particularly in terms of future space requirements and capital allocation. This more holistic approach will ensure long-term sustainability while meeting increasingly stringent environmental commitments.

Synergistic impact of renewable energy technology, governance, digitalisation, and human capital on sustainable development and load capacity factor in Germany's energy landscape

2025-06-20

Seyi Saint Akadırı , Oktay Özkan , Derviş Kırıkkaleli | Technology in Society

Waste heat availability from hydrogen-based industries in district heating systems – A Swedish case study

2025-06-20

Sofia Rosén , Parvathy Sobha , Cecilia Wallmark | Energy Reports

SURVEY ON THE OPERATIONAL STATUS AND SUPPLY EFFICIENCY OF SMALL-SCALE DISTRICT HEAT SUPPLY SYSTEM USING WOODY BIOMASS TO A GROUP OF HOUSES

2025-06-19

Koji SHIBUYA , Tomoki HOTTA , Yusuke Nakajima | AIJ Journal of Technology and Design

Session 6. Oral Presentation for: The Southern Gas Market supply problem: assessing the case for electrification of gas heating

2025-06-19

Joshua Stabler | Australian Energy Producers journal.

Presented on 27 May 2025: Session 6 The south-eastern Australian states of Victoria, New South Wales, South Australia and Tasmania are facing a Southern Gas Market supply problem with the … Presented on 27 May 2025: Session 6 The south-eastern Australian states of Victoria, New South Wales, South Australia and Tasmania are facing a Southern Gas Market supply problem with the anticipated decline of the largest gas production facility within the region over the coming 5 years. Multiple supply-side alternatives are currently vying to get support for their solution. During this period, the electricity market is also anticipating continued growth in renewable energy capacity, which could then result in excess renewable energy spillage through periods of the year. This provides a potential opportunity for the integration of a demand-side solution to the Southern Gas Market supply problem through electrification of the gas heating load to soak up the excess renewables. This report investigates the implications of weather on the gas and electricity demand and supply to build the case for electrification of gas heating within Victoria and determines the role of natural gas to support the electricity grid. To access the Oral Presentation click the link on the right. To read the full paper click here

Session 11. Oral Presentation for: Blue power: a case for more gas, less emissions

2025-06-19

Perry Wilson | Australian Energy Producers journal.

Presented on 28 May 2025: Session 11 Australia’s target to generate 82% of its electricity from renewable sources by 2030 does not necessarily mean the country will pare its total … Presented on 28 May 2025: Session 11 Australia’s target to generate 82% of its electricity from renewable sources by 2030 does not necessarily mean the country will pare its total annual emissions back by 82% in that timeframe. A high renewable power share also depends on suitable firming capacity to provide reliability when variable wind and solar are not available, particularly for extended periods of time. In the Australian Energy Market Operator’s (AEMO) Integrated System Plan (ISP) step-change scenario, this has been recognised by the provision of gas-fired power generation (GPG) via ‘peaking power plants’. However, the plan indicates that these peaking plants will operate at a capacity factor of just 5% by 2050. The low utilisation renders the gas expensive and inefficient in terms of firming, security and storage. An alternate view to the proposed 5% utilisation pathway is to dial up the capacity factor by backing up with carbon capture and storage (CCS) at the power generation plant. This paper presents a comparative scenario leveraging a CCS-backed power option against the proposed low-utilisation use peaking plants, specifically through examining the key levers of the energy trilemma. It also turns the spotlight on the risks and opportunities associated with each option, touching on increased pricing for infrastructure rentals in the low-utilisation option against the opportunity to leverage the oil and gas sector skills which Australia already possesses, alongside CCS skills that are already in development. This paper provides an alternative solution for low-emissions GPG, increasing their role but without the relative increase in carbon emissions – ultimately supporting reliable, affordable and sustainable power for all Australians. To access the Oral Presentation click the link on the right. To read the full paper click here

Dynamic carbon emission model of distribution network considering mix distributed generation

2025-06-19

Jun Su , Zhengyu Chen , Chaolong Tang +1 more | Energy Reports

Influence Graph-Based Method for Sustainable Energy Systems

2025-06-19

Nof Yasir , Ying Huang , Di Wu | Sustainability

To reduce carbon emissions from fossil fuel generators in sustainable energy systems, an option is increasing the integration of gas-fired generators into the power system. The increasing reliance on natural … To reduce carbon emissions from fossil fuel generators in sustainable energy systems, an option is increasing the integration of gas-fired generators into the power system. The increasing reliance on natural gas for electricity generation has strengthened the interdependence between the electric power network and the natural gas infrastructure within the Integrated Power and Gas System (IPGS). This strengthened interdependence increases the risk that disruptions originating in one system may propagate to the other, potentially leading to extensive cascading failures throughout the IPGS. Ensuring the reliability of critical energy infrastructure is vital for sustainable development. This paper proposes a vulnerability assessment method for the IPGS using an influence graph, which can be formulated based on fault chain theory to capture the interactions among failed components in the IPGS. With the influence graph, eigenvector centrality is used to pinpoint the critical components in the IPGS. The proposed methodology is validated using 39-bus 29-node IPGS through the Scenario Analysis Interface for Energy Systems (SAInt) software version 3.5.17.7. Results show that the proposed method has effectively identified the most critical branches in the IPGS, which play a key role in initiating cascading failures. These insights contribute to enhancing the resilience and sustainability of interconnected energy systems.

Multi-regional integrated energy system optimization: an intra-layer energy trading management model

2025-06-18

Tianyu Wen , Zhenglin Zhang , Z. Wang +4 more | Engineering Optimization

Optimizing the lead time of operational flexibility trading from distributed industrial energy systems in future energy and flexibility markets

2025-06-18

Daniel Bull , Adrian Bürger , Markus Bohlayer +2 more | International Journal of Electrical Power & Energy Systems

Revolutionizing energy and logistics: a multilayered strategy for optimizing distribution networks and achieving dual carbon goals

2025-06-18

Sajad Ali , Yongzhi Min , Xin Chen +2 more | Clean Technologies and Environmental Policy

A two-stage optimal dispatch model for wind-storage-carbon capture power plants considering carbon emission and green certificate trading

2025-06-18

Yushu Pan , Xinyu Guo , Shenbo Yang +4 more | Energy

Research on interconnected operation characteristics of combined cooling heating and power system based on load difference

2025-06-18

Yaohong Li , Xiaoyang Bian , Bin Peng +2 more | Case Studies in Thermal Engineering

A Three-Stage Optimization Planning Model for the Integrated Energy Service Station from the Sustainable Perspective of Energy-Transportation-Information-Humanities

2025-06-18

Jianli Zhou , Jiayi Ren , Cheng Yang +4 more | Energy

Strategies for climate-resilient global wind and solar power systems

2025-06-18

Dongsheng Zheng , Xizhe Yan , Dan Tong +7 more | Nature

Capacity adequacy assessment and pricing for power systems with high penetration of renewable energy

2025-06-17

Jiahua Wang , Jiang Wu , Yuzhou Zhou +1 more | Applied Energy

Fully flexible temporal resolution for energy system optimization

2025-06-17

Zhi Yuan Gao , Matteo Gazzani , Diego A. Tejada‐Arango +4 more | Applied Energy

A systematic approach for modeling and planning a sustainable electricity system in Colombia

2025-06-16

Santiago Bernal-del Río , Nicolò Stevanato , Riccardo Mereu +1 more | Energy Strategy Reviews

A long-term energy transition planning model for a district heating and cooling sector incorporating sector coupling approach: A case study of the Czech district heating and cooling sector

2025-06-16

Anna‐Maria Kubin , Jaroslav Knápek , Nikolaos E. Koltsaklis | Energy Conversion and Management

Supporting building heat decarbonization with heat Pumps: Analysis of subsidy schemes in Swiss leading cantons

2025-06-16

Xiang Li , Roman Bolliger , Monika Hall +1 more | Energy Policy

Analysis of a hybrid heating system with TRNSYS: district heating, heat pumps and photovoltaics in a multi-apartment building

2025-06-14

George Dogkas , Alexandros Tsimpoukis , Grigorios Itskos +4 more | Energy and Buildings

Techno-Economic Analysis of an All-Electric Energy Station in Eastern China

2025-06-14

Yihan Sun , Duo Zhang | Sustainability

This study conducts a techno-economic evaluation of an all-electric energy station in China. It assesses the system’s feasibility and sustainability. The all-electric energy station integrates multiple components: chillers, air-source heat … This study conducts a techno-economic evaluation of an all-electric energy station in China. It assesses the system’s feasibility and sustainability. The all-electric energy station integrates multiple components: chillers, air-source heat pumps, electric boilers, water thermal storage, and gas boilers. These components work together to deliver comprehensive cooling and heating services. The research compares this system with an integrated electricity-gas system. It analyzes performance across three key areas: economic benefits, environmental impact, and energy utilization efficiency. The results show significant advantages for the all-electric energy station. Economic analysis reveals that the net present value (NPV) of the all-electric energy station is positive, the internal rate of return (IRR) is high, and the payback period is significantly shorter compared to traditional systems. Sensitivity analysis highlights that the discount rate and initial investment are the most influential factors affecting NPV, while cooling prices present substantial revenue optimization potential. The all-electric configuration exhibits greater sensitivity to parameter variations, underscoring the importance of strategic risk management. Additionally, the all-electric energy station excels in environmental protection. Carbon emissions are reduced by 11.5% compared to conventional systems. As renewable energy increases in the grid, indirect carbon emissions will decrease further. The all-electric energy station demonstrates strong economic feasibility. It plays a crucial role in achieving carbon neutrality and promoting green energy development. This study provides valuable insights for future regional integrated energy systems.

Provincial Electricity–Heat Integrated Energy System Optimal Dispatching Model for Time-Series Production Simulation

2025-06-14

Na Zhang , Yi Jin , Jingwei Hu +3 more | Processes

This paper focuses on the provincial integrated energy system in northern China, which is characterized by the large-scale integration of renewable energy, thorough coupling of electricity and heat, and interactive … This paper focuses on the provincial integrated energy system in northern China, which is characterized by the large-scale integration of renewable energy, thorough coupling of electricity and heat, and interactive operation of sources, loads, and storages. When conducting time-series production simulation with the daily rolling optimization dispatching method, the embedded daily optimal dispatching model fails to effectively charge and discharge electric and thermal energy storages across days to accommodate the curtailed electricity from renewable energy. Thus, a new embedded daily optimal dispatching model is proposed. The new model adopts a strategy of converting the stored energy of electric and thermal energy storages at the end of the dispatching day into equivalent coal consumption, respectively, and deducting it from the objective function of the optimal dispatching model. Through theoretical analysis, the reasonable range of the conversion coefficient is determined, enabling the model to use electric and thermal energy storages to store the curtailed electricity during surplus power generation in a dispatching day and accommodate it in subsequent days. A case study based on a provincial electricity–heat integrated energy system in northern China shows that the curtailment of renewable energy with the suggested strategy is much less than that with the traditional strategy, verifying the effectiveness of the proposed model.

Optimization techniques in renewable energy systems: A mathematical approach to efficiency

2025-06-14

Patel Nirmal Rajnikant , Ritu Khanna | World Journal of Advanced Engineering Technology and Sciences

The research develops an optimization framework based on mathematical principles to enhance renewable energy system efficiency by studying photovoltaic solar configurations specifically. A theoretical dataset and constrained linear model help … The research develops an optimization framework based on mathematical principles to enhance renewable energy system efficiency by studying photovoltaic solar configurations specifically. A theoretical dataset and constrained linear model help the study determine optimal system components through implementation of a Gradient Descent algorithm within set budget constraints. The proposed model showed resilient performance through consistent convergence combined with parameter-aware responses together with efficient constraint management which proves its robust nature. This research demonstrates strong theoretical merit because it creates scalable generalizable solutions while also offering an algorithm benchmarking platform during data-limited situations. Various applications with real-world data can build upon this foundation to use it with recent metaheuristic optimization approaches.

Uncertain operation region of electricity-hydrogen virtual power plant: Concept and description method

2025-06-14

Hong Tan , Ao Yang , Zhenjia Lin +3 more | Applied Energy

Assessment of reliability and efficiency of network topologies with hybrid renewable energy systems in remote areas

2025-06-13

Boris Papkov , Pavel Ilyushin , А. Л. Куликов +2 more | Management of Environmental Quality An International Journal

Purpose This paper aims to develop the original approach to assessing the reliability and efficiency of network topologies that incorporate hybrid renewable energy systems (HRESs) to ensure sustainable production of … Purpose This paper aims to develop the original approach to assessing the reliability and efficiency of network topologies that incorporate hybrid renewable energy systems (HRESs) to ensure sustainable production of green energy and a reliable power supply to the consumer in remote areas across diverse topologies and operational scenarios. The main advantage of the original approach is the use of relatively simple calculation algorithms, which allow obtaining reliable results that are not inferior to the results of simulation modeling. Design/methodology/approach The use of the mathematical tools of probability theory along with special characteristics such as “weight,” “significance” and “contribution” of the component facilitates a comprehensive qualitative and quantitative comparative analysis of the reliability and efficiency of network topologies with HRESs in remote areas. Findings The research reveals that the networks with HRESs in remote areas represent large multi-level engineering systems with a complex structure, characterized by multi-functionality and redundancy. Therefore, they cannot be assessed by a single classical reliability index. Single and even double failures of components normally do not lead to the failure of the entire network topology and disruption of power supply to all consumers. The presence of territories with overlapping service areas of HRESs enables a reliable power supply to consumers under various topologies and operational scenarios. This arrangement, however, does lead to a decrease in network efficiency. The study is illustrated by examples of reliability and efficiency calculations made for various network topologies incorporating HRESs. Research limitations/implications The approach developed to assess the reliability and efficiency of network topologies with HRESs in remote areas will enable a technically optimal selection when designing them. Additionally, it is necessary to create a comprehensive range of standard solutions tailored to meet varying consumer requirements for the reliability of power supply. This approach will significantly simplify and accelerate the design process of network topologies with HRESs. Practical implications This study corroborates the choice of the efficiency criterion for comparative evaluation of various network topologies with HRESs in remote areas. We propose using special characteristics of individual components, such as “weight,” “significance” and “contribution” when analyzing the reliability and efficiency of network topologies with HRESs. The necessity for both qualitative and quantitative analysis when choosing network topologies depending on consumer requirements for reliability of power supply is established. The approach devised to identify overlapping and non-overlapping regions within the HRESs coverage areas enables the choice of consumer backup solutions. The method developed to assess the efficiency of network topologies with overlapping HRESs coverage areas facilitates reliable power supply to consumers under various topology and operating conditions. Originality/value The developed approach allows informed design technical decisions regarding the network topology options, the number of HRESs and electricity backup strategies for consumers in remote areas depending on their power supply reliability requirements. Conducting comparative calculations of the reliability and efficiency for the network topologies in remote areas is essential for the construction, reconstruction and identification of causes behind power supply disruptions for consumers.

An assessment of solar power generating system as a solution to deal with global warming and climate change

2025-06-13

A. S. Salman , Ahmed Farouk Deifalla , Farruh Atamurotov | Journal of Water and Land Development

The increasing adoption of solar power as a sustainable energy source necessitates more efficient and reliable methods for optimising and maintaining solar power generating systems. Traditional approaches to assessing and … The increasing adoption of solar power as a sustainable energy source necessitates more efficient and reliable methods for optimising and maintaining solar power generating systems. Traditional approaches to assessing and managing these systems often rely on static models and manual interventions, which can be inefficient and fail to account for dynamic environmental conditions. In this study, we propose a novel framework for the assessment and optimisation of solar power systems using modern machine learning techniques. Our approach benifits advanced predictive maintenance, real-time energy yield optimisation, and enhanced energy forecasting models, resulting in significant improvements in system efficiency and reliability. Specifically, the predictive maintenance system, driven by machine learning algorithms, was able to reduce system downtime by 29.88% compared to traditional reactive maintenance methods. The real-time energy yield optimisation, leveraging dynamic data inputs, increased energy capture efficiency by 14.78% over standard static models. Additionally, our enhanced energy forecasting models demonstrated a 25.12% improvement in accuracy, significantly outperforming conventional forecasting techniques. These innovations enhance the operational efficiency of solar power systems, and contribute in their long-term sustainability and economic viability. The integration of machine learning into solar power management enables proactive decision-making, adaptive control strategies, and more accurate performance predictions. As a result, our proposed framework offers a practical and scalable solution to meet the growing demands of the renewable energy sector and supports the global transition toward cleaner and more resilient energy infrastructures.

A comparative sustainability assessment of several grid energy storage technologies

2025-06-13

Roque Aguado , Juan José Cartelle Barros , M. Pilar de la Cruz +2 more | Applied Energy

Dynamic economic emission dispatch of combined heat and power system based on multi-objective differential evolution algorithm

2025-06-13

Tao Dong | PLoS ONE

Engineering frequently deals with multi-objective optimization problems. In the scheduling of combined heat and power systems, the competing goals of economic cost and pollutant emission are challenging for conventional single-objective … Engineering frequently deals with multi-objective optimization problems. In the scheduling of combined heat and power systems, the competing goals of economic cost and pollutant emission are challenging for conventional single-objective algorithms to handle, necessitating the use of effective multi-objective optimization algorithms. The research design improves the multi-objective differential evolution algorithm, which is constructed by making the scaling factor and crossover probability change adaptively, adopting non-dominated sorting, combining the congestion distance calculation to deal with multi-objectives, adding elite populations and quadratic mutation links, and so on. Based on this algorithm, the dynamic economic emission dispatch model of combined heat and power system is constructed to optimize the economic and environmental benefits of the system. The results revealed that the improved multi-objective differential evolution algorithm in Zitzler-Deb-Thiele 1 function test had generational distance of 0.0513, inverted generational distance of 0.3265, and hyper volume metric of 0.1301. Its Pareto optimal frontier fitted the standard curve better and was uniformly distributed, giving better performance. It was applied to solving dynamic economic emission dispatch model for combined heat and power system and compared with time-varying multi-objective PSO algorithm and others. Based on the ieee 30-node system deployment, it contained two cogeneration units, seven generator units, and one heating unit. The improved multi-objective differential evolution algorithm optimized the fuel cost as low as $2300590 and the pollution emission as low as 200285 kg. Its Pareto optimal frontier distribution was better, and it performed better in the hyper volume metric and inverted generational distance metrics. The research demonstrates that the improved multi-objective differential evolution algorithm can effectively balance operational cost and performance, achieving reduced fuel cost and pollution emissions. Furthermore, it exhibits strong adaptability and optimization capabilities in practical engineering applications, enhancing system operation efficiency and reducing pollution.