Energy Renewable Energy, Sustainability and the Environment

Energy, Environment, Agriculture Analysis

Description

This cluster of papers explores the intersection of energy consumption, renewable energy technologies, agricultural practices, and environmental evaluation. It covers topics such as multifunctionality of paddy fields, energy consumption in residential areas, fuel cell technology, flood mitigation, nutrient management, and water management in agricultural practices.

Keywords

Energy Consumption; Agricultural Practices; Renewable Energy; Water Management; Flood Mitigation; Nutrient Management; Residential Areas; Fuel Cells; Environmental Evaluation; Building Sector

1. Het Bulisch te midden der talen van Zuid- 1. Het Bulisch te midden der talen van Zuid-
For two centuries the Rijkswaterstaat has been responsible for public works in the Netherlands. Founded in 1798, this national government agency, which now numbers twelve thousand employees, has left its … For two centuries the Rijkswaterstaat has been responsible for public works in the Netherlands. Founded in 1798, this national government agency, which now numbers twelve thousand employees, has left its mark on the country. The river landscape has been completely re-created. Deep-sea inlets and large inland saltwater lakes such as the Zuider Zee have been cut off from the sea, reducing the country's coastline by about 2,800 kilometers (from 3,400 to 650). More than 350,000 hectares of land have been reclaimed. The Rijkswaterstaat has also been involved in infrastructure development. At present there are in the Netherlands 3,000 kilometers of railway lines, around 4,000 kilometers of navigable waterways, 18,000 kilometers of cycle paths, and more than 100,000 kilometers of asphalt roads. Numerous "structural works," as they are known in civil engineering parlance, dominate the Dutch landscape: weirs, locks, storm surge barriers, bridges, viaducts, cloverleafs, tunnels, overpasses, and the like. Such structures have taken the place of other features—church spires, windmills, pollard willows, poplars—that once dotted the horizon.
A scale model of a dairy-cow house was developed for studying factors involved with ammonia emission. Theammonia emission from two different floor fouling methods was measured. In the first case, … A scale model of a dairy-cow house was developed for studying factors involved with ammonia emission. Theammonia emission from two different floor fouling methods was measured. In the first case, a urine/feces mixture wasapplied daily to the floor surface. In the second case, a thin layer of feces was applied daily and urine was sprinkled overit. In both cases, the ammonia emission increased after fouling each day. After seven days the situation stabilized. Anammonia emission peak was always observed within two hours after application of the urine/feces mixture or the urine,while afterwards the ammonia emission rate gradually declined in about 24 h to the level prevailing before the fouling.The second method, which is more comparable to the fouling in a practical cow house, revealed a linear relationshipbetween the height of the ammonia emission peak and the urea concentration of the urine. Measurements at differenttemperatures and with different air velocities over the floor surface showed that the height of the ammonia emission peakdepends on temperature to the power of 0.89 and on the velocity to the power of 0.26.
To improve the slip resistance of solid floors in dairy cow houses and to achieve the ammonia emission reduction prescribed by the Dutch government, precast concrete floors with grooves and … To improve the slip resistance of solid floors in dairy cow houses and to achieve the ammonia emission reduction prescribed by the Dutch government, precast concrete floors with grooves and a dung scraper were investigated. The grooves parallel to the alley had 160 mm center-to-center spacing and were 35 mm wide and 30 mm deep. The urine could drain along the grooves. Perforations in the grooves were spaced 1.1 m apart and could be open or closed. When the perforations were open, urine could be drained directly into a slurry pit below. In case of closed perforations, draining of urine was only possible at one alley end. The feces were dragged to one end of the alley using a scraper, provided with facilities, that also cleaned the grooves. The floor system was constructed in a compartment of a mechanically ventilated experimental cow house. In another compartment a traditional slotted floor served as a reference. Ammonia emissions from both compartments were recorded continuously. The effects on ammonia emission and the performance of the perforations in the floor were determined. The floor system was also implemented into various practical farms and some practical experiences were gathered. Ammonia emission from the compartment with the grooved solid floor operating with open perforations was reduced by 46% compared with the reference compartment. Closing of the perforations resulted in an ammonia emission reduction of 35% compared to the reference compartment.
In the Netherlands, agricultural activities are a major source of gaseous emissions of ammonia (NH3), nitrogen oxide (NO), nitrous oxide (N2O), methane (CH4), non-methane volatile organic compounds (NMVOC), carbon dioxide … In the Netherlands, agricultural activities are a major source of gaseous emissions of ammonia (NH3), nitrogen oxide (NO), nitrous oxide (N2O), methane (CH4), non-methane volatile organic compounds (NMVOC), carbon dioxide (CO2) from lime fertilisers and urea fertiliser, and particulate matter (PM10 and PM2.5). The emissions were calculated using the National Emission Model for Agriculture (NEMA). In 2019, NH3 emissions from livestock manure, fertiliser and other sources on farms and hobby farms, from private use and from manure application in terrestrial ecosystems amounted to 112.0 million kg NH3, 6.2 million kg less than in 2018. This decrease was due mainly to the reduction in the size of the dairy herd. Emissions of N2O in 2019 were 18.8 million kg, 0.6 million kg less than in 2018. Emissions of NO in 2019 amounted to 21.7 million kg, 0.7 million kg less than in 2018. Emissions of CH4 decreased from 484 to 480 million kg due to the smaller dairy herd. Emissions of NMVOC amounted to 87.8 million kg in 2019, down from 89.6 million kg in 2018. Emissions of particulate matter PM10 decreased from 5.9 in 2018 to 5.4 million kg in 2019 and PM2.5 emissions decreased from 0.6 to 0.5 million kg. Emissions of CO2 from lime fertilisers and urea decreased from 83.1 to 80.1 million kg. Based on new data for several factors which are described in this report, emission figures have been updated for a number of years in the time series since 1990. Emissions of NH3 from livestock manure have fallen by two-thirds since 1990, mainly as a result of lower nitrogen excretion rates of livestock and the introduction of low-emission manure application. Emissions of N2O and NO decreased over this period by 42% and 35% respectively, less markedly than the NH3 reduction because of higher emissions from manure injection (compared with surface spreading manure) and a shift from excretion on pasture to excretion in animal houses. Emissions of CH4 decreased by 18% between 1990 and 2019 due to a decrease in livestock numbers and increased feed use efficiency of dairy cattle. Emissions of PM10 increased by 9% in the same period due to laying poultry farms switching from housing systems with liquid manure to systems with solid manure.
Original data comes from a project which takes or took place as part of the DFG priority program "Exploratories for large-scale and long-term functional biodiversity research". The data is stored … Original data comes from a project which takes or took place as part of the DFG priority program "Exploratories for large-scale and long-term functional biodiversity research". The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (https://www.bexis.uni-jena.de). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset. Vorkommende Ektomykorrhizen auf den VIP_Hainich Wald
Aman Kumar | INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
PROJECT OVERVIEW The goal of this industrial research project is to carry out a thorough market analysis of Sting Energy Drink, which is part of PepsiCo’s lineup. This study will … PROJECT OVERVIEW The goal of this industrial research project is to carry out a thorough market analysis of Sting Energy Drink, which is part of PepsiCo’s lineup. This study will dive into what consumers prefer, the latest market trends, the competitive landscape, and potential growth opportunities for Sting Energy Drink in various regions. The findings will offer valuable insights to shape marketing strategies, guide product development, and support market expansion efforts.
In recent years, the effects of global climate change have become more apparent, and reducing energy-derived CO2 emissions has become an important issue. The purpose of this study is to … In recent years, the effects of global climate change have become more apparent, and reducing energy-derived CO2 emissions has become an important issue. The purpose of this study is to evaluate the CO2 emission reduction effect according to energy conservation scenarios in the residential sector, based on actual data. In this study, we set up energy-saving scenarios assuming the implementation of energy-saving behavior and the replacement of energy-consuming equipment and calculated the CO2 emission reduction effects of energy conservation for cooling, heating, and hot water using individual data from a large-scale survey of 29,161 samples. Consequently, we could quantify the relationship between the set scenarios and the associated CO2 reduction effects. Based on the results, we compared countermeasures and considered their respective potentials. However, despite there being an aggressive scenario in which all households implemented energy conservation measures, the calculated savings were limited. Therefore, we also considered the potential of demand response as a rough estimate. The results indicated that, while continued efforts to curb energy demand are necessary, a comprehensive countermeasure approach is important for achieving carbon neutrality.
Clarifying the dynamics and mechanism of the coupling and coordination relationship between new-type urbanization and the low-carbonization of the living energy consumption of urban residents can provide basic data and … Clarifying the dynamics and mechanism of the coupling and coordination relationship between new-type urbanization and the low-carbonization of the living energy consumption of urban residents can provide basic data and theoretical support for the national low-carbon economy and other high-quality development strategies from the perspective of urbanization. The entropy method, coupling coordination model, kernel density estimation, and obstacle model were used to investigate the spatial and temporal characteristics, coupling coordination, and obstacle factors of the two systems of China's new-type urbanization and the low-carbonization of the living energy consumption of urban residents from 2005 to 2021. The results showed that: ① The overall level of new-type urbanization and low-carbonization of the living energy consumption of urban residents showed an upward trend, and both had obvious spatial differentiation characteristics. ② The coupling coordination degree of new-type urbanization and the low-carbonization of the living energy consumption of urban residents showed a clear upward trend, increasing from 0.553 in 2005 to 0.714 in 2021. The overall spatial pattern of the coupling coordination degree exhibited a strong positive correlation, spatial correlation was enhanced, local spatial structure and dependence of the direction of the fluctuation were weak, and certain path dependent characteristics were observed. ③ Economic urbanization was the dimension with the biggest obstacle in the guideline layer of the new-type urbanization system, with an average obstacle degree of 34.77%; the built-up area ratio was the indicator with the biggest obstacle degree in the system, with an average obstacle degree of 23.48%. In the system of low-carbonization of the living energy consumption of urban residents, the indicator of carbon emission per unit of energy consumption had the strongest barrier effect, with an average barrier degree of 29.13%, whereas the indicator of carbon emission density had the weakest barrier effect, with an average barrier degree of 3.34%. Therefore, each province is recommended to construct development plans according to local conditions, establish a cross-regional and multi-dimensional synergy and cooperation mechanism, and promote the construction of new-type urbanization in an orderly manner, to facilitate the realization of the "dual-carbon" goal.
This review explores new ways to store files using blockchain instead of traditional cloud services. We examine four systems: one that manages files automatically with smart contracts, another that lets … This review explores new ways to store files using blockchain instead of traditional cloud services. We examine four systems: one that manages files automatically with smart contracts, another that lets people rent out unused storage space (like Airbnb for hard drives), a third that connects users directly for secure file sharing, and a fourth designed for areas with poor internet. These systems avoid relying on big companies by spreading data across shared networks. They use blockchain to track transactions and smart contracts to enforce rules without middlemen. Users earn rewards for sharing spare storage, while encryption and unique file codes keep data safe. Challenges remain, such as slow speeds, high costs, and the need for simpler tools. New fixes, like AI helpers and faster networks, aim to solve these issues. Together, these systems show how people can control their own data, reducing risks like hacking or outages. This shift could make the internet more open and fair, where privacy and access work together, not against each other. Key Words: decentralized storage, blockchain, smart contracts, file sharing, storage rewards, offline access.

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2025-04-02
West Kalimantan is particularly susceptible to the devastating effects of forest fires, among the natural disasters that have a significant impact. One of the indicators that can be used to … West Kalimantan is particularly susceptible to the devastating effects of forest fires, among the natural disasters that have a significant impact. One of the indicators that can be used to identify forest fires is the presence of hotspots. The term "hotspot" refers to data that has both spatial and temporal characteristics. Using the Generalized Space-Time Autoregressive (GSTAR) model combined with the Queen Contiguity weight matrix, this research aims to model and forecast the confidence level of hotspots in Kubu Raya Regency and its surrounding areas. We chose the GSTAR model because of its ability to model spatial interactions between locations and temporal change patterns over time. According to NASA FIRMS, the data used in this study were confidence level hotspot data, covering the period from January 2014 to August 2024. To define locations for modeling, the study area was divided into grids measuring degrees. The maximum confidence level value in each grid was used to represent the highest potential fire risk. The research process consists of the following stages: data preparation, stationarity testing, calculation of the Queen Contiguity spatial weight matrix, identification of model orders based on STACF and STPACF plots, and estimation of model parameters to predict hotspot confidence levels. The GSTAR (3;1) model was selected as the best model because it satisfies the white-noise assumption and has a MAPE value of 14.78%. Based on the MAPE, the GSTAR (3;1) model can provide reasonably accurate predictions for the confidence level of fire points over the following three periods. The prediction results indicate a decline in the fire point confidence level across all locations during the following three periods. The findings of this study can support the optimization of resource allocation in the prevention of forest fires.
This study assumed artificial seaweed mats as porous media in a computational fluid dynamics model and examined the changes in flow velocity and bottom shear stress under various installation conditions … This study assumed artificial seaweed mats as porous media in a computational fluid dynamics model and examined the changes in flow velocity and bottom shear stress under various installation conditions of the mats. To consider the pressure dissipation effect of the mats, the flow reduction reproduction method proposed by Brito et al. (2016) for artificial vegetation was applied to the Fluent model. The changes in flow velocity due to the scale and arrangement of the seaweed mats were analyzed when installing the mats around the mono-pile structure. Through the numerical results, it was confirmed that by adjusting the density and height of the artificial seaweed mats, it is possible to regulate the flow velocity and shear stress occurring in both the internal and external zones of the mats. In the design of the artificial seaweed mats, it was confirmed that by configuring the outer mat height to gradually increase and placing high-density mats furthest from the pile, while positioning relatively low-density mats closer to the inner side of the pile, reductions in flow velocity and shear stress at the base of the mono-pile can be achieved, along with mitigation of scouring effects.
To achieve carbon neutrality by 2050, the realization of Net-Zero-Energy Buildings (ZEBs) and the proper design of heat source equipment capacity are essential. Consequently, numerous studies have been conducted to … To achieve carbon neutrality by 2050, the realization of Net-Zero-Energy Buildings (ZEBs) and the proper design of heat source equipment capacity are essential. Consequently, numerous studies have been conducted to prevent overdesign. However, most previous studies have analyzed the factors influencing heat source equipment capacity as independent and isolated variables. In actual design practice, however, factors interact in complex and interdependent ways, yet few studies have considered the interrelationships among these factors or conducted a structural and comprehensive analysis of their influence on heat source equipment capacity. Therefore, this study aims to quantitatively model the influence structure between design factors and heat source equipment capacity using Structural Equation Modeling (SEM), focusing on office buildings with a central heat source system in warm regions of Japan. This research offers a novel perspective not found in previous studies by structurally and comprehensively analyzing the relationship between design factors and heat source equipment capacity, examining the interactions between the factors and their impact on equipment capacity in stages. As a result, by modeling the influence structure, it was confirmed that the diversity factor, handling of internal heat gain, and appropriate design based on actual building usage, such as internal heat gain and the safety factor, are effective for optimizing heat source equipment capacity. Moreover, the result also confirmed that industry, company size, building scale, building use, and software influence the above design factors. This study is a case study that focuses on the maximum heat load calculation in mechanical equipment design and attempts to model the influence of design factors and heat source equipment capacity. However, it is expected that future studies using the same methodology as this study and incorporating additional factors not discussed in this study, and expanding across various regions, will provide a valuable and effective approach to optimizing heat source equipment capacity.
In actual office activities, there is a possibility that the metabolic rate (MET) value differs from what is set in the standards. Therefore, it is necessary to explore how the … In actual office activities, there is a possibility that the metabolic rate (MET) value differs from what is set in the standards. Therefore, it is necessary to explore how the actual metabolic rate of office occupants relates to their Thermal Sensation Vote (TSV) and Predicted Mean Vote (PMV). This study investigates the relationship between the actual metabolic rate, the thermal sensation vote (TSV), and the predicted mean vote (PMV) of occupants in an office building. The method of this study is to collect indoor thermal environment data, physiological data, and the subjective responses of building occupants. The study used Silmee Pro W-22 wearable devices to collect the physiological data of building occupants, such as energy expenditure, skin temperature, and heart rate. The subjects of this study were office workers in an office building in Kanagawa, Japan. The investigation was conducted in the transition from winter to spring season (February 28th–March 30th, 2023). The actual office activities varied from the static mode, such as sitting, resting, writing, conversation, and typing, to the dynamic mode, such as walking. The study found significant variations in the metabolic rate of office activities, with the actual metabolic rate being 15% lower than the standard. The regression and correlation analysis showed that the PMV calculation based on the ASHRAE-55 standard significantly correlated to the TSV. In contrast, the PMV calculation based on the actual metabolic rate did not significantly correlate to TSV. The actual metabolic rate may not accurately predict the PMV.
Based on the principle of cell molecular biomechanics, this study delves into the human movement energy consumption model for landscape planning. Human movement is underpinned by muscle cell activities. Muscle … Based on the principle of cell molecular biomechanics, this study delves into the human movement energy consumption model for landscape planning. Human movement is underpinned by muscle cell activities. Muscle cells' actin and myosin filaments, regulated by calcium and ATP, cause contractions. Integrating diverse data, a precise prediction model is built. It factors in cell molecular aspects like ATP consumption efficiency related to mitochondria and energy transduction pathways. Also considered are biomechanical stresses on muscle and connective tissues during movement and cellular responses to environmental elements. Applied to landscape cases, the model uncovers optimization strategies. By understanding cell molecular biomechanics, landscape designs can be tweaked to ease muscle cell workload, cutting energy use. This lessens muscle fatigue and potential cell damage, enhancing environmental comfort. The results prove the model boosts landscape planning's scientific and practical value. It offers strong theoretical and practical support for sustainable urban growth and public health, spotlighting its vast potential and broad application scope in landscape planning.
Central air-conditioning systems are expected to provide high-quality thermal environments that contribute to improving the health and comfort of residents. However, in winter, a high room temperature is maintained, which … Central air-conditioning systems are expected to provide high-quality thermal environments that contribute to improving the health and comfort of residents. However, in winter, a high room temperature is maintained, which decreases the indoor relative humidity. To combat this dryness, water-supply humidifiers may be used, but this carries the risk of microbial growth. Another method is a desiccant device. Therefore, in this study, we performed actual measurements of a residential central air-conditioning system equipped with a desiccant device. In addition, we constructed a numerical simulation model capable of reproducing actual measurements in order to quantify the humidification effect.
In this study, we examined the feasibility of thermal energy storage (TES) in individual distributed air conditioning systems for adjusting the renewable power supply and the cooling/heating demands in buildings. … In this study, we examined the feasibility of thermal energy storage (TES) in individual distributed air conditioning systems for adjusting the renewable power supply and the cooling/heating demands in buildings. Effective TES schedule was determined based on daily changes in area-dependent prices, as an index representing the renewable power supply, by energy simulation in which cooling/heating loads measured in an office building in Kochi were given as the input. The calculation result indicated that the electricity price in the proposed TES system was reduced by 10.4% in summer and 16.5% in winter from a conventional air conditioning system without TES.
Samples from the asteroid Ryugu provide key information on the initial composition and evolutionary processes of primitive bodies. This study aims to detect H2O spectral features associated with inter-layer water … Samples from the asteroid Ryugu provide key information on the initial composition and evolutionary processes of primitive bodies. This study aims to detect H2O spectral features associated with inter-layer water in a statistically significant number of Ryugu grains protected from terrestrial contamination. We analysed hyperspectral data of millimetre-sized Ryugu grains (1.5–5.7 mm) obtained using the MicrOmega instrument at the Curation Facility. Water signatures were identified by computing the spectral distance from a reference Ryugu grain that exhibits a prominent 3 µm feature, which is associated with the presence of H2O We detect rare and small water-rich regions (typically $< 90 µ m^2). No significant difference in water content is observed between grains collected from chamber A (surface collection) and chamber C (artificial crater ejecta). The water-rich regions exhibit band widths similar to those of several primitive asteroids measured by the AKARI survey, whereas the average, millimetre-scale spectra of Ryugu grains show narrower bands. We confirm the low abundance of inter-layer water in Ryugu samples across a statistically significant number of grains. The spectral differences between Ryugu and the primitive asteroids analysed in this study reflect differences in composition that may indicate distinct formation reservoirs or evolutionary processes.
After the Great East Japan Earthquake, the household sector of public welfare is promoting the introduction of distributed energy systems by diversifying energy sources and applying local energy use as … After the Great East Japan Earthquake, the household sector of public welfare is promoting the introduction of distributed energy systems by diversifying energy sources and applying local energy use as one of the energy supply measures in case of a disaster. This study introduced an energy-sharing system in the housing complexes to examine whether each house with different family composition and life patterns (i.e., different energy use patterns) could use energy more efficiently. The target energy in the housing complexes was set to electricity, which was generated by photovoltaic panels and stored in storage batteries. The strategy for stable electricity supply and profit generation was as follows: (1) electricity generated by photovoltaic panels is consumed first in the housing complexes; (2) the remaining electricity is stored in a large-capacity storage battery for the operation of the cooling and heating system; (3) afterward, electricity is sold directly to nearby housing complexes at a lower price than the supply price of electricity companies and at a higher price than when sold to electricity companies. The calculation results show that the profit from the sale of surplus electricity and the reduction rate of CO2 emissions were evaluated. The annual electricity purchase was 87 MWh, which decreased by 52% due to the introduction of the electricity-sharing system. Annual electricity sales were 433 MWh. The annual profit from selling surplus electricity directly to nearby houses was 1.14 times higher than selling to electricity companies. The CO2 emission reduction rate was 56.2%.
Using the standardised SORT, the article analyses instantaneous energy consumption and recuperation processes in an electric bus. The test includes three scenarios: SORT 1 (heavy urban traffic), SORT 2 (mixed … Using the standardised SORT, the article analyses instantaneous energy consumption and recuperation processes in an electric bus. The test includes three scenarios: SORT 1 (heavy urban traffic), SORT 2 (mixed driving conditions), and SORT 3 (suburban routes), enabling precise assessment of the energy efficiency of vehicles while eliminating environmental variables. The recuperation system significantly enhances energy efficiency, though its effectiveness varies based on the driving scenario. Modelling methods were compared as follows: linear regression, KNN algorithms, and neural networks, achieving a high fit (R2 > 90%). While KNN and neural networks were better at reproducing nonlinearities, they indicated the need for additional variables and time delays to enhance accuracy. The article sets itself apart by incorporating predictive models and examining recuperation efficiency across various scenarios. It emphasizes the importance of combining SORT results with real operational data and developing adaptive energy management systems. The results indicate the potential for optimizing electric buses for public transport, including route planning and further improving recuperation technology, which can significantly reduce energy consumption and greenhouse gas emissions.