Energy Renewable Energy, Sustainability and the Environment

Energy Efficiency and Management

Description

This cluster of papers focuses on energy efficiency in manufacturing and the industrial sector, addressing topics such as energy consumption, resource efficiency, policy implications, barriers to implementation, machine tools, and sustainability. It explores strategies for reducing energy usage, optimizing processes, and promoting renewable energy in manufacturing and industry.

Keywords

Energy Efficiency; Manufacturing; Industrial Sector; Energy Consumption; Resource Efficient; Policy; Barriers; Machine Tools; Sustainability; Renewable Energy

This report reviews current perspectives on market barriers to energy efficiency. Ratepayer-funded utility energy-efficiency programs are likely to change in scope, size, and nature as the deregulation process proceeds; the … This report reviews current perspectives on market barriers to energy efficiency. Ratepayer-funded utility energy-efficiency programs are likely to change in scope, size, and nature as the deregulation process proceeds; the authors research focuses on understanding to what extent some form of future intervention may be warranted and how they might judge the success of particular interventions, especially those funded by ratepayers. They find that challenges to the existence of market barriers have, for the most part, failed to provide a testable alternative explanation for evidence suggesting that there is a substantial ``efficiency gap`` between a consumer`s actual investments in energy efficiency and those that appear to be in the consumer`s own interest. They then suggest that differences of opinion about the appropriateness of public policies stem not from disputes about whether market barriers exist, but from different perceptions of the magnitude of the barriers, and the efficacy and (possibly unintended) consequences of policies designed to overcome them. They conclude that there are compelling justifications for future energy-efficiency policies. Nevertheless, in order to succeed, they must be based on a sound understanding of the market problems they seek to correct and a realistic assessment of their likely efficacy. This understanding can only emerge from detailed investigations of the current operation of individual markets.
Abstract A nonlinear relationship between electricity sales and temperature is estimated using a semiparametric regression procedure that easily allows linear transformations of the data. This accommodates introduction of covariates, timing … Abstract A nonlinear relationship between electricity sales and temperature is estimated using a semiparametric regression procedure that easily allows linear transformations of the data. This accommodates introduction of covariates, timing adjustments due to the actual billing schedules, and serial correlation. The procedure is an extension of smoothing splines with the smoothness parameter estimated from minimization of the generalized cross-validation criterion introduced by Craven and Wahba (1979). Estimates are presented for residential sales for four electric utilities and are compared with models that represent the weather using only heating and cooling degree days or with piecewise linear splines.
When the dependent variable consists of several categories that are not ordinal (i.e., they have no natural ordering), the ordinary least square estimator cannot be used. Instead, a maximum likelihood … When the dependent variable consists of several categories that are not ordinal (i.e., they have no natural ordering), the ordinary least square estimator cannot be used. Instead, a maximum likelihood estimator like multinomial logit or probit should be used.The purpose of this article is to understand the multinomial logit model (MLM) that uses maximum likelihood estimator and its application in nursing research.The research on "Racial differences in use of long-term care received by the elderly" (Kwak, 2001) is used to illustrate the multinomial logit model approach. This method assumes that the data satisfy a critical assumption called the "independence of irrelevant alternatives." A diagnostic developed by Hausman is used to test the independence of irrelevant alternatives assumption. Models in which the dependent variable consists of several unordered categories can be estimated with the multinomial logit model, and these models can be easily interpreted.This method can handle situations with several categories. There is no need to limit the analysis to pairs of categories, or to collapse the categories into two mutually exclusive groups so that the (more familiar) logit model can be used. Indeed, any strategy that eliminates observations or combines categories only leads to less efficient estimates.
Recent micro-simulation studies of the demand for clectricity hy residences have attempted to modlel jointly the demand for appliance and the denmanid for electricity by appliance.Within this context it becomes … Recent micro-simulation studies of the demand for clectricity hy residences have attempted to modlel jointly the demand for appliance and the denmanid for electricity by appliance.Within this context it becomes important to test the statistical exogeneity of appliance dummy variables typically included in demand for electricity equations.If, as the theory would suggest, the demand for durables and their use are related decisions by the consumer, specifications which ignore this fact will lead to biased and inconsistent estimates of price and income elasticities.The present paper attempts to test this bias using a subsample of the 1975 survey of 3249 households carried out by the Washington Center for Metropolitan Studies (WCMS) for the Federal Energy Administration.We discuss and derive a unified model of the demand for consumer durables and the derived demand for electricity.To determine the magnitude of the bias resulting from estimating a unit electricity" consumption (UEC) equation bv ordinary least squares when unobserved factors influence both choice of appliances and intensity of use.we intr-oduce and cstimate a joint water-heat space-heat choice model, and concluide with the consistent estimation and specification of demand for electricity equations.
Energy efficiency and conservation are considered key means for reducing greenhouse gas emissions and achieving other energy policy goals, but associated market behavior and policy responses have engendered debates in … Energy efficiency and conservation are considered key means for reducing greenhouse gas emissions and achieving other energy policy goals, but associated market behavior and policy responses have engendered debates in the economic literature. We review economic concepts underlying consumer decision making in energy efficiency and conservation and examine related empirical literature. In particular, we provide an economic perspective on the range of market barriers, market failures, and behavioral failures that have been cited in the energy efficiency context. We assess the extent to which these conditions provide a motivation for policy intervention in energy-using product markets, including an examination of the evidence on policy effectiveness and cost. Although theory and empirical evidence suggests there is potential for welfare-enhancing energy efficiency policies, many open questions remain, particularly relating to the extent of some key market and behavioral failures.
Using data from electric utilities, this study shows that spending on well-designed regulations has a positive productivity impact but that spending on less well-designed regulations has a negative effect. Better-designed … Using data from electric utilities, this study shows that spending on well-designed regulations has a positive productivity impact but that spending on less well-designed regulations has a negative effect. Better-designed regulations are flexible and grant firms latitude on how to meet goals, allow them time to deploy new means to meet goals, and set ambitious goals that stretch them beyond current practices.
In this study we use a thermodynamic framework to characterize the material and energy resources used in manufacturing processes. The analysis and data span a wide range of processes from … In this study we use a thermodynamic framework to characterize the material and energy resources used in manufacturing processes. The analysis and data span a wide range of processes from “conventional” processes such as machining, casting, and injection molding, to the so-called “advanced machining” processes such as electrical discharge machining and abrasive waterjet machining, and to the vapor-phase processes used in semiconductor and nanomaterials fabrication. In all, 20 processes are analyzed. The results show that the intensity of materials and energy used per unit of mass of material processed (measured either as specific energy or exergy) has increased by at least 6 orders of magnitude over the past several decades. The increase of material/energy intensity use has been primarily a consequence of the introduction of new manufacturing processes, rather than changes in traditional technologies. This phenomenon has been driven by the desire for precise small-scale devices and product features and enabled by stable and declining material and energy prices over this period. We illustrate the relevance of thermodynamics (including exergy analysis) for all processes in spite of the fact that long-lasting focus in manufacturing has been on product quality—not necessarily energy/material conversion efficiency. We promote the use of thermodynamics tools for analysis of manufacturing processes within the context of rapidly increasing relevance of sustainable human enterprises. We confirm that exergy analysis can be used to identify where resources are lost in these processes, which is the first step in proposing and/or redesigning new more efficient processes.
Despite several decades of government policies to promote energy efficiency, estimates of the costs and benefits of such policies remain controversial. At the heart of the controversy is whether there … Despite several decades of government policies to promote energy efficiency, estimates of the costs and benefits of such policies remain controversial. At the heart of the controversy is whether there is an "energy efficiency gap," whereby consumers and firms fail to make seemingly positive net present value energy saving investments. High implicit discount rates, undervaluation of future fuel savings, and negative cost energy efficiency measures have all been discussed as evidence of the existence of a gap. We review explanations for an energy efficiency gap including reasons why the size of the gap may be overstated, neoclassical explanations for a gap, and recent evidence from behavioral economics that has potential to help us understand why a gap could exist. Our review raises fundamental questions about traditional welfare analysis, but we find the alternatives offered in the literature to be far from ready for use in policy analysis. Nevertheless, we offer several suggestions for policymakers and for future economic research. (JEL: Q38, Q41)
Meeting the rising energy demand and limiting its environmental impact are the two intertwined issues faced in the 21st century. Governments in different countries have been engaged in developing regulations … Meeting the rising energy demand and limiting its environmental impact are the two intertwined issues faced in the 21st century. Governments in different countries have been engaged in developing regulations and related policies to encourage environment friendly renewable energy generation along with conservation strategies and technological innovations. It is important to develop sustainable energy policies and provide relevant and suitable policy recommendations for end-users. This study presents a review on sustainable energy policy for promotion of renewable energy by introducing the development history of energy policy in five countries, i.e., the United States, Germany, the United Kingdom, Denmark and China. A survey of the articles aimed at promoting the development of sustainable energy policies and their modelling is carried out. It is observed that energy-efficiency standard is one of the most popular strategy for building energy saving, which is dynamic and renewed based on the current available technologies. Feed-in-tariff has been widely applied to encourage the application of renewable energy, which is demonstrated successfully in different countries. Building energy performance certification schemes should be enhanced in terms of reliable database system and information transparency to pave the way for future net-zero energy building and smart cities.
The reduction of energy demand in buildings through the adoption of energy efficiency policy is a key pillar of the European Union (EU) climate and energy strategy. Energy efficiency first … The reduction of energy demand in buildings through the adoption of energy efficiency policy is a key pillar of the European Union (EU) climate and energy strategy. Energy efficiency first emerged in the EU energy policy agenda in the 1970s and was progressively transformed with shifting global and EU energy and climate policies and priorities. The paper offers a review of EU energy policies spanning over the last half century with a focus on policy instruments to encourage measures on energy efficiency in new and existing buildings. Starting from early policies set by the EU in response to the Oil Embargo in the 1973, the paper discusses the impact of EU policies in stimulating energy efficiency improvements in the building sector ranging from the SAVE Directive to the recently 2018 updated Energy Performance of Buildings Directive and Energy Efficiency Directive. The review explores the progress made over the last 50 years in addressing energy efficiency in buildings and highlights successes as well as remaining challenges. It discusses the impact of political priorities in reshaping how energy efficiency is addressed by EU policymakers, leading to a holistic approach to buildings, and provides insights and suggestions on how to further exploit the EU potential to save energy from buildings.
Energy-efficient technologies offer considerable promise for reducing the financial costs and environmental damages associated with energy use, but it has long been observed that these technologies may not be adopted … Energy-efficient technologies offer considerable promise for reducing the financial costs and environmental damages associated with energy use, but it has long been observed that these technologies may not be adopted by individuals and firms to the degree that might be justified, even on a purely financial basis. We survey the relevant literature on this “energy-efficiency gap” by presenting two complementary frameworks. First, we divide potential explanations for the energy-efficiency gap into three categories: market failures, behavioral explanations, and model and measurement errors. Second, we organize previous research in terms of the fundamental elements of cost-minimizing energy-efficiency decisions. This provides a decomposition that organizes thinking around four questions. First, are product offerings and pricing economically efficient? Second, are energy operating costs inefficiently priced and/or understood? Third, are product choices cost minimizing in present value terms? Fourth, do other costs inhibit more energy-efficient decisions? We synthesize academic research on these questions, with an emphasis on recent empirical findings, and offer suggestions for future research. (JEL D24, D82, L94, L98, O33, Q41, Q48)
Abstract While both fundamental types of abatement measure mitigate the adverse environmental impacts of production, cleaner production technologies are frequently more advantageous than end‐of‐pipe technologies for environmental and economic reasons. … Abstract While both fundamental types of abatement measure mitigate the adverse environmental impacts of production, cleaner production technologies are frequently more advantageous than end‐of‐pipe technologies for environmental and economic reasons. This paper analyzes a variety of factors that might enhance firms' propensity to implement cleaner production technologies instead of end‐of‐pipe technologies. On the basis of a unique facility‐level data set derived from a recent OECD survey, we find a clear dominance of cleaner production in seven OECD countries: 76.8% of the facilities report that they invest predominantly in cleaner production technologies, above all in new production processes, but not so much in new products. Based on a discrete choice model, our estimation results indicate that regulatory measures and the stringency of environmental policies are more important for end‐of‐pipe technologies, while cost savings, general management systems and specific environmental management tools tend to favor clean production. We conclude that improvements towards cleaner production may be reached by the continuous development and wider diffusion of these management tools. Improvements may also be stimulated by widening the cost gap between the two types of technology, for instance by additionally charging for waste and energy use. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.
Imperfect information and inattention to energy costs are important potential motivations for energy efficiency standards and subsidies. We evaluate these motivations in the lightbulb market using a theoretical model and … Imperfect information and inattention to energy costs are important potential motivations for energy efficiency standards and subsidies. We evaluate these motivations in the lightbulb market using a theoretical model and two randomized experiments. We derive welfare effects as functions of reduced-form sufficient statistics capturing economic and psychological parameters, which we estimate using a novel within-subject information disclosure experiment. The main results suggest that moderate subsidies for energy-efficient lightbulbs may increase welfare, but informational and attentional biases alone do not justify a ban on incandescent lightbulbs. Our results and techniques generate broader methodological insights into welfare analysis with misoptimizing consumers. (JEL D12, D83, H21, H31, L67, Q41, Q48)
A growing number of policies and programs aim to increase investment in energy efficiency, because conventional wisdom suggests that people fail to take up these investments even though they have … A growing number of policies and programs aim to increase investment in energy efficiency, because conventional wisdom suggests that people fail to take up these investments even though they have positive private returns and generate environmental benefits. Many explanations for this energy efficiency gap have been put forward, but there has been surprisingly little field testing of whether the conventional wisdom is correct. This article reports on the results of an experimental evaluation of the nation's largest residential energy efficiency program—the Weatherization Assistance Program—conducted on a sample of approximately 30,000 households in Michigan. The findings suggest that the upfront investment costs are about twice the actual energy savings. Furthermore, the model-projected savings are more than three times the actual savings. Although this might be attributed to the "rebound" effect—when demand for energy end uses increases as a result of greater efficiency—the article fails to find evidence of significantly higher indoor temperatures at weatherized homes. Even when accounting for the broader societal benefits derived from emissions reductions, the costs still substantially outweigh the benefits; the average rate of return is approximately −7.8% annually.
Many analysts of the energy industry have long believed that energy efficiency offers an enormous “win-win” opportunity: through aggressive energy conservation policies, we can both save money and reduce negative … Many analysts of the energy industry have long believed that energy efficiency offers an enormous “win-win” opportunity: through aggressive energy conservation policies, we can both save money and reduce negative externalities associated with energy use. In 1979, Daniel Yergin and the Harvard Business School Energy Project estimated that the United States could consume 30 or 40 percent less energy without reducing welfare. The central economic question around energy efficiency is whether there are investment inefficiencies that a policy could correct. First, we examine choices made by consumers and firms, testing whether they fail to make investments in energy efficiency that would increase utility or profits. Second, we focus on specific types of investment inefficiencies, testing for evidence consistent with each. Three key conclusions arise: First, the evidence presented in the long literature on the subject frequently does not meet modern standards for credibility. Second, when one tallies up the available empirical evidence from different contexts, it is difficult to substantiate claims of a pervasive Energy Efficiency Gap. Third, it is crucial that policies be targeted. Welfare gains will be larger from a policy that preferentially affects the decisions of those consumers subject to investment inefficiencies.
Introduction This study compares traditional and advanced shoe last manufacturing processes, emphasizing the integration of 3D scanning and the SDF (Sistema Definizione Forma) system to improve efficiency and precision. Methods … Introduction This study compares traditional and advanced shoe last manufacturing processes, emphasizing the integration of 3D scanning and the SDF (Sistema Definizione Forma) system to improve efficiency and precision. Methods In the traditional method, physical models are manually sculpted and digitized using mechanical digitizers. These are then machined via CNC systems, requiring manual finishing—particularly in toe and heel areas—due to clamping limitations. Branding is completed using conventional heat embossing tools. In contrast, the advanced method employs digital modeling tools (e.g., Rhino software) to directly create shoe last designs. These digital files are processed in SDF-enabled CNC machines, utilizing a dovetail gripping mechanism that allows full-surface precision turning and eliminates the need for manual finishing. Logos and markings are applied using laser printing. Results The SDF-based approach demonstrated over 70% improvement in production speed, an 80% reduction in manual intervention, and sub-millimetric dimensional accuracy. Surface finish, repeatability, and suitability for mass customization were also significantly enhanced. Discussion Findings support that the SDF-based method enables a more sustainable, scalable, and higher-quality production process compared to traditional methods, offering clear advantages for modern footwear manufacturing.
This research introduces an energy prediction framework at the facility level supported by automated data collection and machine learning models. It investigates whether reducing the prediction time scale allows for … This research introduces an energy prediction framework at the facility level supported by automated data collection and machine learning models. It investigates whether reducing the prediction time scale allows for applying more complex machine learning techniques and if those techniques improve the prediction accuracy. The primary advantages of this framework lie in its automation of the energy prediction process and its provision of real-time energy data suitable for use in energy dashboards or digital twins. A sitewide dataset was created by combining 15 min energy and daily production data of five shops—assembly, battery, body (electric), body (gas), and paint—from a globally recognized electric vehicle manufacturer. Various machine learning models were evaluated on daily, weekly, and monthly datasets, including, in increasingly complex order: naïve, simple linear regression, net regularized generalized linear regression, principal component regression, k-nearest neighbor, random forest, and Bayesian regularized neural network. Compared to the current state-of-the-art energy consumption prediction for the industrial facility level, this research investigates more complex models and smaller time intervals for higher accuracy. The findings revealed that the more complex monthly models require a minimum of a year and a half of data to operate, while weekly models demand a year of data to achieve improved accuracy. Daily models can operate with only six months of data but exhibit poor performance due to reduced prediction accuracy of production. Key challenges identified include access to reliable, high-quality energy and production data and the initial demand for human labor.
Kenneth Gillingham , Erica Myers | Edward Elgar Publishing eBooks
The purpose of this research is to investigate the possibilities of electricity consumption-associated cost reduction in buildings owned by a medium-sized logistics company in Latvia (A_LV), which is a part … The purpose of this research is to investigate the possibilities of electricity consumption-associated cost reduction in buildings owned by a medium-sized logistics company in Latvia (A_LV), which is a part of the larger international business ecosystem (A). The company is not using all of its facilities for its own business needs, some of them are rented out, and therefore the possibility of impacting electricity consumption in rented out buildings is limited. During the research, mixed-type approaches combining qualitative and quantitative research methods and data analysis were employed, where the quantitative methods helped to analyze the company’s electricity consumption and cost changes in different time periods, while the qualitative methods were used in a literature review. As primary data sources, A_LV’s internal electricity consumption reports and invoices for electricity payments were used, along with publicly available data on electricity consumption in Latvia and wholesale market price fluctuations. Although A_LV has numerous areas of electricity consumption optimization, this research is limited to few of them—lighting system optimization, energy management and automation applications, forklift charging regime adjustments, and choice of electricity retailer and tariff plan.
Energy-saving is one of the important energy policies of governments around the world. The energy service company (ESCO) came into being in response to the energy-saving policy. For ESCOs to … Energy-saving is one of the important energy policies of governments around the world. The energy service company (ESCO) came into being in response to the energy-saving policy. For ESCOs to thrive, from the perspective of risk management, it is crucial to diversify the risks of ESCOs through insurance. Through interviews with insurance companies and ESCOs, it was found that there is a feasibility of introducing energy insurance (EI) in Taiwan. EI can be categorized as energy-saving insurance or energy efficiency insurance (EEI), and at this stage, EEI is the mainstay of EI development in Taiwan.
Abstract Since the 1980s, the idea that designed markets function best as self-sufficient systems detached from government and society has been a cornerstone of the electricity sector’s liberalization programs. However, … Abstract Since the 1980s, the idea that designed markets function best as self-sufficient systems detached from government and society has been a cornerstone of the electricity sector’s liberalization programs. However, technological advancements and political mandates for decarbonization bring new opportunities to challenge this thesis. This article clarifies why the arrangements of knowledge exchange networks are relevant to understand the governance of designed markets. The arrangement of regulator’s social embeddedness matters, independently of market structure. This research leverages the comparison of three countries with markedly different models of electricity governance—Chile, China, and Mexico—to explore how governments manufacture the conditions for robust action in industrial governance. The analysis reveals three distinct forms of reconfiguration of knowledge networks, forming new expert organizations, appropriating expert organizations owned by the industry, and diversifying the nature of knowledge exchange relations. The institutional approach to solve governing challenges by further embedding regulators, rather than liberalizing markets.
In today's world, where competition and change are aggressive and rapid, managing and reducing fixed input costs has become critically important for both the private sector and public institutions. Among … In today's world, where competition and change are aggressive and rapid, managing and reducing fixed input costs has become critically important for both the private sector and public institutions. Among these fixed input costs, energy expenses stand out as the most significant and controllable factor. A major portion of energy consumed is attributed to the use of electric motors. These motors, particularly those with high energy consumption, are typically designed to operate at constant speeds and deliver constant output. However, with modern production techniques and practices, many applications now require motors to operate at variable speeds using advanced technological control methods. In this context, Variable Frequency Drives (VFDs), based on power electronics, are used to control motor speed and ensure efficient and economical use of energy and energy resources. By enabling motors to operate more efficiently, VFDs contribute significantly to green transformation in the industrial sector. In addition, they offer several benefits such as extending the service life of motors and electrical cables. However, due to the power electronics components used in their structure, VFDs can cause harmonic distortion. This study aims to demonstrate energy management practices to improve the energy efficiency of induction motors commonly operated with Y-Δ starters in industrial settings and to analyze the effects of harmonic distortion on the power grid. In this context, power consumption, cost analysis and harmonic analysis of different starting methods have been carried out. Furthermore, the energy savings and the level of harmonic distortion resulting from VFD usage have been evaluated and compared with the conventional Y-Δ method. As a result of the study, the payback period was found to be approximately 1.04 years, depending on the motor’s operating frequency and duration, and the total harmonic distortion (THD) was observed to increase from an average of around 13% to 30%.
Abstract Over 300 cities are inscribed on the World Heritage List. While each site has its unique challenges and opportunities, in each of them a balance must be achieved in … Abstract Over 300 cities are inscribed on the World Heritage List. While each site has its unique challenges and opportunities, in each of them a balance must be achieved in protecting heritage values and meeting demands of modern life, including the demand for energy efficiency and the reduction of greenhouse gas emissions. This article uses Visby (Sweden) as a case study to examine how conservation laws implementing the World Heritage Convention in light of international commitments to mitigate climate change can influence the balance between cultural heritage preservation and energy measures in historic sites. International laws must be implemented by states. But these national laws must be applied locally, in each heritage site. It is therefore important to examine how regional and local decision makers, including individual property owners, navigate and understand their obligations stemming from international laws in order to understand the impact and challenges in meeting sustainability goals in heritage sites. We find that while Visby’s World Heritage status promotes a high level of cultural heritage protection, restrictive laws alone fall short in achieving sustainability. Supportive factors such as funding, planning tools, knowledge support and dissemination, and community engagement help bridge these gaps. We recommend further support for financial incentives, place-based technological solutions, and collaboration amongst experts and others to help officials and property owners make choices that are sustainable from both energy and heritage perspectives.
Energy efficiency (EE) remains an underexploited opportunity in many developing economies, where a complex interplay of policy, institutional, and market-related challenges limit its implementation at scale. This study explores the … Energy efficiency (EE) remains an underexploited opportunity in many developing economies, where a complex interplay of policy, institutional, and market-related challenges limit its implementation at scale. This study explores the structural, economic, and policy-related constraints affecting the EE market in Jordan, a country with a high dependence on imported energy. Using a multi-framework approach, we apply the political, economic, social, technological, environmental, and legal (PESTEL) framework to categorize these barriers, complemented by Brown’s business model (BM) typology to enhance the analytical depth. Primary data were collected through semi-structured interviews with key market actors. The findings highlight issues such as economic volatility, regulatory fragmentation, and the structural biases associated with donor-driven interventions, which contribute to an uneven and loosely regulated market environment in which businesses face significant scaling challenges. This study reflects on international experience to explore how strategies from other contexts might inform markets’ adaptation in emerging economies. This study concludes with targeted policy recommendations aimed at clarifying regulatory pathways and supporting more effective market delivery. This research contributes to ongoing policy discourse by highlighting how context-specific BM innovations might help address systemic barriers, while potentially supporting national energy goals.
Abstract Small and medium‐sized enterprises (SMEs) are essential to the European economy but face challenges in optimizing energy use due to limited resources and expertise. Rising energy costs and strict … Abstract Small and medium‐sized enterprises (SMEs) are essential to the European economy but face challenges in optimizing energy use due to limited resources and expertise. Rising energy costs and strict EU regulations have made energy efficiency a priority. This study examines how artificial intelligence (AI) can reduce energy consumption in European SMEs. AI technologies, like machine learning and predictive analytics, enable accurate forecasting and real‐time energy optimization. Using OECD and Eurostat data, the study found that SMEs adopting AI reduce energy consumption by 12%, with manufacturing SMEs achieving up to 18%. Key barriers include high upfront costs, technical expertise gaps, and integration challenges. The study emphasizes AI's potential for improving energy efficiency, competitiveness, and sustainability in SMEs, calling for more accessible AI tools and supportive policies.
Mohammad M. Kashani | Proceedings of the Institution of Civil Engineers - Bridge Engineering
Abstract Due to the high demand of electricity used by industrial machinery, energy efficiency is a fundamental priority for minimizing operational costs and allowing higher production effectiveness. Production planning based … Abstract Due to the high demand of electricity used by industrial machinery, energy efficiency is a fundamental priority for minimizing operational costs and allowing higher production effectiveness. Production planning based on factory gathered information or known variables paired with prognosis techniques for photovoltaic energy generation results in an energy optimized industrial cycle. All elements involved in this kinematic chain, such as the state of equipment, human‐made decisions and interactions, and active power generation will result in a specific energy efficiency point, which in most cases can be improved by proper production planning. By implementing tracking of energy consumption cycles and forecasting renewable energy production, manufacturing process can be defined so that most power intensive actions consume predominantly low‐cost clean energy. Thus, leading to faster scheduling based on accurate production parameters such as required volumes, maintenance schedules, down‐times, and other types of factors which impact the devised tasks. This paper introduces a software implementation that incorporates a cumulus of factors to enable repeatability in the decision‐making process. The paper's focus is to present the logical structure of this implementation, demonstrated through an example involving a plastic injection molding facility operating primarily in the automotive sector.
Electricity markets with a high share of variable renewable energy require significant balancing reserves to ensure stability by preserving the balance of supply and demand. However, they were originally conceived … Electricity markets with a high share of variable renewable energy require significant balancing reserves to ensure stability by preserving the balance of supply and demand. However, they were originally conceived for dispatchable technologies, which operate with predictable and controllable generation. As a result, adapting market mechanisms to accommodate the characteristics of variable renewables is essential for enhancing grid reliability and efficiency. This work studies the strategic behavior of a wind power producer (WPP) in the Iberian electricity market (MIBEL) and the Portuguese balancing markets (BMs), where wind farms are economically responsible for deviations and do not have support schemes. In addition to exploring current market dynamics, the study proposes new market designs for the balancing markets, with separate procurement of upward and downward secondary balancing capacity, aligning with European Electricity Regulation guidelines. The difference between market designs considers that the wind farm can hourly bid in both (New 1) or only one (New 2) balancing direction. The study considers seven strategies (S1–S7) for the participation of a wind farm in the past (S1), actual (S2 and S3), New 1 (S4) and New 2 (S5–S7) market designs. The results demonstrate that new market designs can increase the wind market value by 2% compared to the optimal scenario and by 31% compared to the operational scenario. Among the tested approaches, New 2 delivers the best operational and economic outcomes. In S7, the wind farm achieves the lowest imbalance and curtailment while maintaining the same remuneration of S4. Additionally, the difference between the optimal and operational remuneration of the WPP under the New 2 design is only 22%, indicating that this design enables the WPP to achieve remuneration levels close to the optimal case.
EU legislation provides the implementation of most building energy performance measures at a subnational level. This obligation is causing a lot of completely new dilemmas that are challenging for local … EU legislation provides the implementation of most building energy performance measures at a subnational level. This obligation is causing a lot of completely new dilemmas that are challenging for local governments (LGs), requiring a radical re-evaluation of the prioritization of LGs’ traditional tasks and the ranking of new responsibilities. The attitude of local population and businesses towards the solutions to dilemmas, which are set by LGs decisions, vary widely. Separate groups actively lobby for their mutually contradictory interests, questioning decisions and fighting against them during the decision-drafting and -making process, significantly hindering the work of LGs and prolonging decision-making. The authors’ suggested solution to the problem is to make municipal decisions based on verifiable data and facts, thus preventing the manifestations of populism and demagogy, and reducing the possibilities for interest group advocacy. To obtain objective information for balanced decision-making about the benefits and costs of heating system retrofitting projects without carrying out the labor-intensive, time-consuming, and costly design of various options, an express methodology and an easy-to-use tool for project feasibility studies have been developed. The methodology utilizes a limited number of open indicators to streamline the evaluation process, and does not require specific knowledge in thermal physics, economics, or construction.
Konaklama işletmelerinde en önemli maliyet unsurlarından biri hiç şüphesiz enerji maliyetleridir. Misafirlerine sürekli bir konfor alanı sunmak zorunda kalan konaklama işletmeleri ciddi bir enerji tüketimi ile karşı karşıya kalmaktadırlar. Bu … Konaklama işletmelerinde en önemli maliyet unsurlarından biri hiç şüphesiz enerji maliyetleridir. Misafirlerine sürekli bir konfor alanı sunmak zorunda kalan konaklama işletmeleri ciddi bir enerji tüketimi ile karşı karşıya kalmaktadırlar. Bu durum, işletme yöneticilerinin enerji tüketimlerini kontrol altında tutmaları ve bunların planlanması ile ilgili kritik karar almaları gerekliliğini ortaya çıkarmaktadır. Bu kararları alan yöneticilere maliyet bilgisi, yönetim muhasebesi aracılığıyla sağlanabilecektir. Böylece konaklama işletmeleri, katlanması gereken enerji maliyetlerini doğru tahmin ederek, müşterilerin konforundan ödün vermeden sağlayabileceği enerji tasarruf alanlarını düşünerek bunlarla ilgili planlamalar yapacaktır. İşletmenin geleceğe ilişkin atacağı adımlarda önemli bir etken olan planlama için gerçeğe en yakın öngörülerde bulunulması gerekmektedir. Uygulamada bunun sağlanması için gerçekçi bir denklem modelinin önerilmesi önem arz etmektedir. Bu bakımdan çalışmada Parçacık Sürü Optimizasyonu kullanılmıştır. Parçacık Sürü Optimizasyonu, literatürde yakın zamanda geliştirilmiş bir optimizasyon yöntemi olması ve gerçeğe en yakın sonuçlar vermesi nedeniyle tercih edilmiştir. Çalışmanın temel amacını, konaklama işletmelerinin elektrik giderlerinin tüketim değerlerinin gerçeğe yakın tahmin edilmesi ve gelecek yıllardaki elektrik tüketim değerleri ve giderlerinin hesaplanması oluşturmaktadır. Bu bakımdan çalışmada iki değişkenli ve beş parametreli bir denklem modeli önerilmiştir. Denklem modeline ait parametrelerinin tahmininde 2018, 2019, 2020, 2021 ve 2022 yıllarına ait veriler kullanılmıştır. Bu yıllardaki veriler kullanılarak elde edilen elektrik tüketim değerlerine ait ortalama hata değeri %14,53 olarak hesaplanmıştır. 2020 yılı verileri, bu yılın pandemi yılı olması ve hesaplamada yanılmalara sebebiyet vereceği gerekçesiyle, dikkate alınmamıştır. Daha sonra 2022 yılına ait tüketim değerleri tahmin edilmiş ve elektrik tüketim değerlerine ait ortalama hata değeri % 9,32 olarak hesaplanarak önceki yıllara göre daha iyi bir hata oranına ulaşılmıştır. Böylelikle önerilen optimizasyonun gerçekçi sonuçlar verdiği ispatlanarak, 2023 yılı için öngörülen tüketim değerleri hesaplanmıştır.
Energy development based on renewable energy has gained widespread acceptance in society, especially in recent years. Among the initiatives currently being promoted are those promoted by higher education institutions that … Energy development based on renewable energy has gained widespread acceptance in society, especially in recent years. Among the initiatives currently being promoted are those promoted by higher education institutions that utilize available space on their campuses by configuring energy systems to incorporate renewable generation technologies. This study conducts a techno-economic analysis of a hybrid energy system that combines photovoltaic systems, wind turbines, hydrokinetic turbines, batteries, and fuel generators for the Center for Research, Innovation, and Technology Transfer of the Universidad Católica de Cuenca (UCACUE) in southern Ecuador. Using data collected on site, particularly from the CIITT campus meteorological station and recorded on the RESMUCC platform, the size of each renewable system configuration is optimized based on the three proposed energy control algorithms. The designs of the different configurations developed using the Homer Pro tool are then compared in terms of costs and energy generated. The results show that the system, which includes photovoltaic systems, wind turbines, hydrokinetic turbines, and fuel-powered generators, has the lowest cost, at USD 0.33/kWh.
The industrial sector’s increasing electricity demand (direct and indirect), driven by the electrification of processes and the production of green hydrogen, poses significant challenges for achieving decarbonisation goals. While switching … The industrial sector’s increasing electricity demand (direct and indirect), driven by the electrification of processes and the production of green hydrogen, poses significant challenges for achieving decarbonisation goals. While switching to renewable electricity and offsetting emissions appears straightforward, the gap between current generation capacities and projected demand remains substantial. This article analyses survey data from the Energy Efficiency Index of German Industry (EEI), revealing that manufacturing companies aim to reduce 22.1% of their 2019 emissions by 2025 and 27.3% by 2030, primarily through on-site measures. However, given the slow pace of renewable capacity expansion and the increasing electrification across sectors, it becomes evident that the envisaged green electricity share of 80% by 2030 will require far more capacity than currently planned. To address this challenge, the article introduces a decarbonisability factor to better assess on-site versus off-site measures, highlighting the need for a strategic sequencing of efficiency and renewable generation. To support decision-makers, the article calls for improved data collection and periodic reassessment to account for changing geopolitical and economic conditions.
<title>Abstract</title> This study assessed energy efficiency performance within Ghana’s cement sector, addressing rising energy costs and sustainability concerns. Using a descriptive design and purposive sampling, data were collected from audited … <title>Abstract</title> This study assessed energy efficiency performance within Ghana’s cement sector, addressing rising energy costs and sustainability concerns. Using a descriptive design and purposive sampling, data were collected from audited firms in the Ashanti Region. Descriptive statistics, correlation analysis, DEA, and Tobit regression were employed. Findings revealed significant inter-firm efficiency gaps, with Xin An Safe Cement achieving consistent full efficiency. Barriers such as limited capital and internal management priorities hindered improvements, while drivers included cost-saving opportunities and strategic planning. The study highlights the importance of strengthening internal management systems, enhancing technical capacities, and embedding long-term energy strategies. These measures are crucial for bridging efficiency gaps, supporting Ghana’s industrial sustainability, and contributing to global Sustainable Development Goals.
ABSTRACT Urban water systems are facing growing challenges, including climate change and aging assets. Digital transformation presents opportunities to address these issues. However, water utilities often encounter barriers such as … ABSTRACT Urban water systems are facing growing challenges, including climate change and aging assets. Digital transformation presents opportunities to address these issues. However, water utilities often encounter barriers such as fragmented initiatives, organizational inertia, and lack of systems interoperability, limiting the scalability and impact of digitalization efforts. This paper presents a strategic roadmap for the digital transformation of water utilities, developed through a literature review and a case study of Vakin, a water utility in Sweden. The findings highlight that organizational and cultural factors are as critical as technical solutions for successful transformation. The study presents arguments that digitalization must be driven by organizational needs and framed within a systems-thinking perspective, resembling strategic organizational development rather than isolated projects. This paper also argues that digital transformation needs to resemble strategic organizational development more than a digitalization project. The proposed approach fosters flexibility, interoperability, and a culture of prototyping and continuous improvement, providing a structured framework for utilities to navigate digital transformation and enhance sustainability.