In the context of the dual-carbon target, the adoption of clean energy in rural areas is an important basis for achieving effective carbon reduction in rural areas. On the basis of the Unified Theory of Technology Acceptance and Use (UTAUT2), this study uses structural equation modeling to investigate the influencing factors of rural clean energy adoption behavior. The results are as follows: (1) Both the expected effect of rural clean energy's adoption and adoption behavior are positively correlated with intention to adopt rural clean energy, whereas the rest are negatively correlated. The willingness to adopt clean energy has the greatest impact on clean energy adoption behavior in rural areas. (2) The expected effect of clean energy's adoption, subjective norms related to clean energy's adoption, facilitation of clean energy adoption support, and habits related to clean energy adoption have partial mediating effects on the impact of clean energy adoption intention. The reliability of clean energy's adoption has a full mediating effect on the impact of clean energy adoption intention. The perceived value of clean energy adoption has no significant mediating effect on the intention to adopt clean energy. (3) Age has a significant moderating effect on perceived value, related behaviors, and intention related to adopting clean energy; education level has no significant moderating effects on facilitation support or intention to adopt clean energy; and region has no significant moderating effects on facilitation support or adoption intention.
{"title":"Exploring drivers of behavioral willingness to use clean energy to reduce environmental emissions in rural China: An extension of the UTAUT2 model","authors":"S. Yin, Yiran Wang, Yijie Liu, Shuo Wang","doi":"10.1063/5.0211668","DOIUrl":"https://doi.org/10.1063/5.0211668","url":null,"abstract":"In the context of the dual-carbon target, the adoption of clean energy in rural areas is an important basis for achieving effective carbon reduction in rural areas. On the basis of the Unified Theory of Technology Acceptance and Use (UTAUT2), this study uses structural equation modeling to investigate the influencing factors of rural clean energy adoption behavior. The results are as follows: (1) Both the expected effect of rural clean energy's adoption and adoption behavior are positively correlated with intention to adopt rural clean energy, whereas the rest are negatively correlated. The willingness to adopt clean energy has the greatest impact on clean energy adoption behavior in rural areas. (2) The expected effect of clean energy's adoption, subjective norms related to clean energy's adoption, facilitation of clean energy adoption support, and habits related to clean energy adoption have partial mediating effects on the impact of clean energy adoption intention. The reliability of clean energy's adoption has a full mediating effect on the impact of clean energy adoption intention. The perceived value of clean energy adoption has no significant mediating effect on the intention to adopt clean energy. (3) Age has a significant moderating effect on perceived value, related behaviors, and intention related to adopting clean energy; education level has no significant moderating effects on facilitation support or intention to adopt clean energy; and region has no significant moderating effects on facilitation support or adoption intention.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141851463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. H. Salmani, Inayat Hussain, Sanaur Rehman, Himansh Kumar
This study investigates the performance and emissions of a compression ignition engine fueled with blends of ethanol and petroleum diesel with 2-EHN (2 ethylhexyl nitrate) as a cetane improver. Three blends, named E20 (20% ethanol with 80% diesel), E20A (20% ethanol, 0.1% 2-EHN, and 79.9% petroleum diesel), E20B (20% ethanol, 0.2% 2-EHN, and 79.8% petroleum diesel), and petroleum diesel were analyzed for their brake thermal efficiency (BTHE), specific fuel consumption, net heat release rate, indicated thermal efficiency, and emissions of carbon monoxide (CO), CO2, hydrocarbon (HC), and NOx. The experiments were conducted at variable loading conditions and at compression ratio of 16.5. Results showed that at no load conditions, petroleum diesel exhibited higher indicated power (IP) compared to E20, E20A, and E20B. However, at full load conditions, blend E20B showed higher IP compared to petroleum diesel, E20, and E20A. The blend E20B at a compression ratio of 16.5 showed the highest BTHE of 27%, compared to petroleum diesel (25%) under full load conditions, making it a better performing fuel. However, at higher loads and compression ratio of 16.5, the blends E20A and E20B exhibited emissions of CO, HC, CO2, and NOx that were significantly higher than diesel and E20 at all load conditions. Specifically, at full load conditions and compression ratio of 16.5, the emissions for each fuel were as follows: CO emission for E20, E20A, and E20B was around 0.01%, much less than petroleum diesel (0.1%); HC emission for E20 (15 ppm), E20A (17 ppm), E20B (10 ppm) was much higher than petroleum diesel (2.5 ppm); CO2 emission for E20, E20A, and E20B was about 13% less than petroleum diesel (15%); and NOx emission for E20, E20A, and E20B was around 150 ppm, comparable with petroleum diesel (140 ppm). These results imply that further improvements are required in using ethanol blended alternate fuel in diesel engines with 2-EHN (cetane improver) to reduce emissions with improved performance.
{"title":"Environmental and performance impacts of 2-ethylhexyl nitrate and ethanol in diesel blends: A comprehensive study","authors":"M. H. Salmani, Inayat Hussain, Sanaur Rehman, Himansh Kumar","doi":"10.1063/5.0199235","DOIUrl":"https://doi.org/10.1063/5.0199235","url":null,"abstract":"This study investigates the performance and emissions of a compression ignition engine fueled with blends of ethanol and petroleum diesel with 2-EHN (2 ethylhexyl nitrate) as a cetane improver. Three blends, named E20 (20% ethanol with 80% diesel), E20A (20% ethanol, 0.1% 2-EHN, and 79.9% petroleum diesel), E20B (20% ethanol, 0.2% 2-EHN, and 79.8% petroleum diesel), and petroleum diesel were analyzed for their brake thermal efficiency (BTHE), specific fuel consumption, net heat release rate, indicated thermal efficiency, and emissions of carbon monoxide (CO), CO2, hydrocarbon (HC), and NOx. The experiments were conducted at variable loading conditions and at compression ratio of 16.5. Results showed that at no load conditions, petroleum diesel exhibited higher indicated power (IP) compared to E20, E20A, and E20B. However, at full load conditions, blend E20B showed higher IP compared to petroleum diesel, E20, and E20A. The blend E20B at a compression ratio of 16.5 showed the highest BTHE of 27%, compared to petroleum diesel (25%) under full load conditions, making it a better performing fuel. However, at higher loads and compression ratio of 16.5, the blends E20A and E20B exhibited emissions of CO, HC, CO2, and NOx that were significantly higher than diesel and E20 at all load conditions. Specifically, at full load conditions and compression ratio of 16.5, the emissions for each fuel were as follows: CO emission for E20, E20A, and E20B was around 0.01%, much less than petroleum diesel (0.1%); HC emission for E20 (15 ppm), E20A (17 ppm), E20B (10 ppm) was much higher than petroleum diesel (2.5 ppm); CO2 emission for E20, E20A, and E20B was about 13% less than petroleum diesel (15%); and NOx emission for E20, E20A, and E20B was around 150 ppm, comparable with petroleum diesel (140 ppm). These results imply that further improvements are required in using ethanol blended alternate fuel in diesel engines with 2-EHN (cetane improver) to reduce emissions with improved performance.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141693105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Scott, Nicholas Hamilton, R. B. Cal, Patrick Moriarty
Wake losses from neighboring plants may become a major factor in wind plant design and control as additional plants are constructed in areas with high wind resource availability. Because plant wakes span a large range of physical scales, from turbine rotor diameter to tens of kilometers, it is unclear whether conventional wake models or turbine control strategies are effective at the plant scale. Wake steering and axial induction control are evaluated in the current work as means of reducing the impact of neighboring wind plants on power and levelized cost of electricity. FLOw Redirection and Induction in Steady State (FLORIS) simulations were performed with the Gauss–Curl Hybrid and TurbOPark wake models as well as two operation and maintenance models to investigate control setpoint sensitivity to wake representation and economic factors. Both wake models estimate losses across a range of atmospheric conditions, although the wake loss magnitude is dependent on the wake model. Annual energy production and levelized cost of electricity are driven by wind direction frequency, with frequently aligned plants experiencing the greatest losses. However, both wake steering and axial induction are unable to mitigate the impact of upstream plants. Wake steering is constrained by plant geometry, since wake displacement is much less than the plant wake width, while axial induction requires curtailing the majority of turbines in upstream plants. Individual turbine strategies are limited by their effective scale and model representation. New wake models that include plant-scale physics are needed to facilitate the design of effective plant wake control strategies.
{"title":"Wind plant wake losses: Disconnect between turbine actuation and control of plant wakes with engineering wake models","authors":"R. Scott, Nicholas Hamilton, R. B. Cal, Patrick Moriarty","doi":"10.1063/5.0207013","DOIUrl":"https://doi.org/10.1063/5.0207013","url":null,"abstract":"Wake losses from neighboring plants may become a major factor in wind plant design and control as additional plants are constructed in areas with high wind resource availability. Because plant wakes span a large range of physical scales, from turbine rotor diameter to tens of kilometers, it is unclear whether conventional wake models or turbine control strategies are effective at the plant scale. Wake steering and axial induction control are evaluated in the current work as means of reducing the impact of neighboring wind plants on power and levelized cost of electricity. FLOw Redirection and Induction in Steady State (FLORIS) simulations were performed with the Gauss–Curl Hybrid and TurbOPark wake models as well as two operation and maintenance models to investigate control setpoint sensitivity to wake representation and economic factors. Both wake models estimate losses across a range of atmospheric conditions, although the wake loss magnitude is dependent on the wake model. Annual energy production and levelized cost of electricity are driven by wind direction frequency, with frequently aligned plants experiencing the greatest losses. However, both wake steering and axial induction are unable to mitigate the impact of upstream plants. Wake steering is constrained by plant geometry, since wake displacement is much less than the plant wake width, while axial induction requires curtailing the majority of turbines in upstream plants. Individual turbine strategies are limited by their effective scale and model representation. New wake models that include plant-scale physics are needed to facilitate the design of effective plant wake control strategies.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Enhancing the aerodynamic performance of airfoils is the key to optimizing the energy harvesting efficiency of rotating machinery such as wind turbines. Motivated by the bowl-shaped outline of the dolphin's fluke during the propulsion process, this paper proposes a local indentation method that generates a concave region on the pressure surface of the airfoil. The NACA 0018 airfoil is selected as the reference airfoil, and two types of treatments are applied near the trailing edge point: rigid deformation and flexible deformation. Based on the grid quantity independence and experimental results validation, the results demonstrate that compared with the original airfoil, the local indentation method can modify the pressure distribution of the indentation section itself and optimize the airfoil's overall aerodynamic performance. The lift coefficient of the whole airfoil increases gradually with the rise in the indentation depth and reaches a stable value eventually. Quantitative results reveal that when the indentation depth D = 0.020c, the lift coefficient of the whole airfoil can increase by up to 26.27%; when the indentation depth D = 0.010c, the airfoil's lift-to-drag ratio reaches the maximum, which is 16.39% higher than that of the original airfoil. When replacing the rigid indentation section with a flexible medium, the fluid flowing over the pressure surface interacts with the flexible medium. The method of local indentation proposed in this paper can provide valuable reference for optimizing the aerodynamic profile of airfoils and improving the energy harvesting efficiency of wind turbines.
提高机翼的空气动力性能是优化风力涡轮机等旋转机械能量收集效率的关键。本文以海豚在推进过程中的鳍侥幸的碗状轮廓为灵感，提出了一种在机翼压力面上产生凹面区域的局部压痕方法。选取 NACA 0018 翼面作为参考翼面，在后缘点附近采用两种处理方式：刚性变形和柔性变形。基于网格量独立性和实验结果验证，结果表明与原始机翼相比，局部压痕方法可以改变压痕部分自身的压力分布，优化机翼的整体气动性能。整个机翼的升力系数随着压痕深度的增加而逐渐增大，并最终达到一个稳定值。定量结果表明，当压痕深度 D = 0.020c 时，整个机翼的升力系数最多可提高 26.27%；当压痕深度 D = 0.010c 时，机翼的升阻比达到最大值，比原机翼的升阻比提高了 16.39%。当用柔性介质代替刚性压痕部分时，流过压力面的流体与柔性介质相互作用。本文提出的局部压痕方法可为优化机翼气动外形和提高风力发电机的能量收集效率提供有价值的参考。
{"title":"Optimization study on airfoil aerodynamic performance with local indentation treatment based on drainage characteristics of dolphin fluke","authors":"Shen-Hui Huang, Ying Wang","doi":"10.1063/5.0210265","DOIUrl":"https://doi.org/10.1063/5.0210265","url":null,"abstract":"Enhancing the aerodynamic performance of airfoils is the key to optimizing the energy harvesting efficiency of rotating machinery such as wind turbines. Motivated by the bowl-shaped outline of the dolphin's fluke during the propulsion process, this paper proposes a local indentation method that generates a concave region on the pressure surface of the airfoil. The NACA 0018 airfoil is selected as the reference airfoil, and two types of treatments are applied near the trailing edge point: rigid deformation and flexible deformation. Based on the grid quantity independence and experimental results validation, the results demonstrate that compared with the original airfoil, the local indentation method can modify the pressure distribution of the indentation section itself and optimize the airfoil's overall aerodynamic performance. The lift coefficient of the whole airfoil increases gradually with the rise in the indentation depth and reaches a stable value eventually. Quantitative results reveal that when the indentation depth D = 0.020c, the lift coefficient of the whole airfoil can increase by up to 26.27%; when the indentation depth D = 0.010c, the airfoil's lift-to-drag ratio reaches the maximum, which is 16.39% higher than that of the original airfoil. When replacing the rigid indentation section with a flexible medium, the fluid flowing over the pressure surface interacts with the flexible medium. The method of local indentation proposed in this paper can provide valuable reference for optimizing the aerodynamic profile of airfoils and improving the energy harvesting efficiency of wind turbines.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141850750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the present investigation, the response surface methodology-based central composite design (RSM-CCD) was used to model the potential of improving the solubilization of food waste through surfactant-assisted homogenization pretreatment (SAHP). RSM-CCD models were investigated based on homogenization speed and time for HP, surfactant dosage, and homogenization time at optimized homogenization speed by HP for SAHP input parameters and chemical oxygen demand (COD) solubilization (CODsol) as response parameters. HP optimum condition was 7020 rpm, 9.9 min to attain 11.6% solubilization with 292.8 kJ/kg total solid (TS) specific energy consumption (ESp). On the other hand, 19.9% CODsol was obtained in the SAHP under optimum conditions of 6.3 μl and 3.7 min, with ESp of 116.2 kJ/kg TS, respectively. The CODsol increment and ESp decrease by 176.2 kJ/kg TS indicate the significance of combined pretreatment and synergistic action of surfactant. Eventually, the maximum biomethane generation was found in SAHP as 67 ml/gCOD, higher than that of HP (40 ml/gCOD) and without pretreatment samples (17 ml/gCOD), respectively.
{"title":"Enhancing biomethane yield from food waste through surfactant-assisted mechanical pretreatment: An optimization approach","authors":"M. C. Eniyan, M. Edwin, J. R. Banu","doi":"10.1063/5.0207515","DOIUrl":"https://doi.org/10.1063/5.0207515","url":null,"abstract":"In the present investigation, the response surface methodology-based central composite design (RSM-CCD) was used to model the potential of improving the solubilization of food waste through surfactant-assisted homogenization pretreatment (SAHP). RSM-CCD models were investigated based on homogenization speed and time for HP, surfactant dosage, and homogenization time at optimized homogenization speed by HP for SAHP input parameters and chemical oxygen demand (COD) solubilization (CODsol) as response parameters. HP optimum condition was 7020 rpm, 9.9 min to attain 11.6% solubilization with 292.8 kJ/kg total solid (TS) specific energy consumption (ESp). On the other hand, 19.9% CODsol was obtained in the SAHP under optimum conditions of 6.3 μl and 3.7 min, with ESp of 116.2 kJ/kg TS, respectively. The CODsol increment and ESp decrease by 176.2 kJ/kg TS indicate the significance of combined pretreatment and synergistic action of surfactant. Eventually, the maximum biomethane generation was found in SAHP as 67 ml/gCOD, higher than that of HP (40 ml/gCOD) and without pretreatment samples (17 ml/gCOD), respectively.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141704895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Large-eddy simulations (LES) are performed on the flow over a wind farm sited behind an abrupt rough-to-smooth surface roughness jump. The change in surface roughness affects both the first-order and second-order turbulent statistics. The usual deficit, i.e., the difference between the velocities upstream of the entire wind farm and downstream of a turbine, attains negative values close to the ground, which makes it difficult for modeling within the usual Gaussian radial-shape framework. A different definition, i.e., the difference in velocity at the same location with and without a turbine on a heterogeneous surface, is always positive and is amenable to Gaussian shape-based modeling. For the setup considered here, wind farms sited downstream of a surface roughness jump produce more power than a wind farm sited on a homogeneously rough surface. This increase is primarily because of the larger power generated by the downstream turbines and only slightly due to the increased power of the first-row turbine. The farm performance is affected by the distance between the abrupt change in surface roughness and the position of the first row of turbines. The wind farm performance is also dependent on the aerodynamic roughness upstream of the surface roughness jump. Two single-turbine analytical models and three wake-merging strategies are evaluated for their ability to predict the velocity deficits. A corrected form of the standard Gaussian model with a recently proposed wake-merging methodology, applicable for a varying background field, is found to be insensitive to the tunable model parameter and is consistently in line with the LES results.
对位于粗糙表面到光滑表面粗糙度突然跃变后的风电场上空的气流进行了大涡流模拟（LES）。表面粗糙度的变化会影响一阶和二阶湍流统计量。通常的赤字，即整个风场上游与涡轮机下游的速度之差，在接近地面时为负值，这使得在通常的高斯径向形状框架内建模变得困难。而不同的定义，即在异质表面上有涡轮机和没有涡轮机的同一位置上的速度差，总是正值，适合基于高斯形状的建模。就本文所考虑的设置而言，位于表面粗糙度跃迁下游的风电场比位于均匀粗糙表面的风电场产生更多的电能。功率增加的主要原因是下游涡轮机产生了更大的功率，只有第一排涡轮机的功率略有增加。风场性能受表面粗糙度突变与第一排涡轮机位置之间距离的影响。风场性能还取决于表面粗糙度跃变上游的空气动力粗糙度。对两个单涡轮机分析模型和三种尾流合并策略预测速度缺陷的能力进行了评估。结果发现，标准高斯模型的修正形式与最近提出的尾流合并方法适用于变化的背景场，对可调模型参数不敏感，并且与 LES 结果一致。
{"title":"Effect of an abrupt rough-to-smooth surface roughness transition on wind farm wakes: An LES and analytical modeling study","authors":"Naveen N. Kethavath, N. Ghaisas","doi":"10.1063/5.0202733","DOIUrl":"https://doi.org/10.1063/5.0202733","url":null,"abstract":"Large-eddy simulations (LES) are performed on the flow over a wind farm sited behind an abrupt rough-to-smooth surface roughness jump. The change in surface roughness affects both the first-order and second-order turbulent statistics. The usual deficit, i.e., the difference between the velocities upstream of the entire wind farm and downstream of a turbine, attains negative values close to the ground, which makes it difficult for modeling within the usual Gaussian radial-shape framework. A different definition, i.e., the difference in velocity at the same location with and without a turbine on a heterogeneous surface, is always positive and is amenable to Gaussian shape-based modeling. For the setup considered here, wind farms sited downstream of a surface roughness jump produce more power than a wind farm sited on a homogeneously rough surface. This increase is primarily because of the larger power generated by the downstream turbines and only slightly due to the increased power of the first-row turbine. The farm performance is affected by the distance between the abrupt change in surface roughness and the position of the first row of turbines. The wind farm performance is also dependent on the aerodynamic roughness upstream of the surface roughness jump. Two single-turbine analytical models and three wake-merging strategies are evaluated for their ability to predict the velocity deficits. A corrected form of the standard Gaussian model with a recently proposed wake-merging methodology, applicable for a varying background field, is found to be insensitive to the tunable model parameter and is consistently in line with the LES results.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141027600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The topic of global climate change has heated up in recent years, and other environmental and energy-related challenges have been continuously gaining attention. At the same time, the concept of sustainable development and carbon-neutral strategies have emerged. Photovoltaic electricity is strongly promoted by pertinent policies as a high-quality substitute for conventional energy sources. Meanwhile, the potential ecological impacts of photovoltaic (PV) projects should also be noted. Currently, there is a lack of comprehensive research on the ecological impact of photovoltaic projects. It is of great necessity to summarize the research status and future trends of this topic from the perspective of a literature review. Therefore, a scientometrics analysis and visualization of the ecological impact of photovoltaic projects was conducted in this study, using CiteSpace as the visualization tool. Web of Science and Scopus were selected as the databases, and the retrieved articles were analyzed using co-occurrence and cluster analysis to discover hot research subjects and evolving trends, as well as to examine institutional, national, and author collaborations. The results help in the present study field of the ecological effect of photovoltaic projects in identifying and understanding trends and patterns. This study offers theoretical support for PV site selection and ecological protection nearby. It can also motivate academics, politicians, institutions, and governments to formulate ecologically friendly roadmaps and regimes in balancing PV development and ecological protection.
近年来，全球气候变化话题不断升温，其他与环境和能源相关的挑战也持续受到关注。与此同时，可持续发展理念和碳中和战略也应运而生。光伏发电作为传统能源的优质替代品，受到相关政策的大力推动。与此同时，光伏发电项目对生态环境的潜在影响也值得关注。目前，对光伏项目的生态影响还缺乏全面的研究。从文献综述的角度总结该课题的研究现状和未来趋势十分必要。因此，本研究使用 CiteSpace 作为可视化工具，对光伏项目的生态影响进行了科学计量学分析和可视化。本研究选择了 Web of Science 和 Scopus 作为数据库，并使用共现分析和聚类分析对检索到的文章进行了分析，以发现热门研究课题和不断变化的趋势，并考察机构、国家和作者的合作情况。研究结果有助于光伏项目生态效应这一研究领域识别和理解趋势与模式。这项研究为光伏选址和附近的生态保护提供了理论支持。它还能激励学术界、政治家、机构和政府制定生态友好型路线图和制度，以平衡光伏发展和生态保护。
{"title":"A scientometrics analysis and visualization of the ecological impact of photovoltaic projects","authors":"Jiawei Shi, Jiayue Yu, Jinjin Guan","doi":"10.1063/5.0203786","DOIUrl":"https://doi.org/10.1063/5.0203786","url":null,"abstract":"The topic of global climate change has heated up in recent years, and other environmental and energy-related challenges have been continuously gaining attention. At the same time, the concept of sustainable development and carbon-neutral strategies have emerged. Photovoltaic electricity is strongly promoted by pertinent policies as a high-quality substitute for conventional energy sources. Meanwhile, the potential ecological impacts of photovoltaic (PV) projects should also be noted. Currently, there is a lack of comprehensive research on the ecological impact of photovoltaic projects. It is of great necessity to summarize the research status and future trends of this topic from the perspective of a literature review. Therefore, a scientometrics analysis and visualization of the ecological impact of photovoltaic projects was conducted in this study, using CiteSpace as the visualization tool. Web of Science and Scopus were selected as the databases, and the retrieved articles were analyzed using co-occurrence and cluster analysis to discover hot research subjects and evolving trends, as well as to examine institutional, national, and author collaborations. The results help in the present study field of the ecological effect of photovoltaic projects in identifying and understanding trends and patterns. This study offers theoretical support for PV site selection and ecological protection nearby. It can also motivate academics, politicians, institutions, and governments to formulate ecologically friendly roadmaps and regimes in balancing PV development and ecological protection.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141027267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Antonio Felipe da Silva Rodrigues, M. B. Sales, Ana K. de S. Braz, Viviane de C. Bizerra, P. D. S. Sousa, Rita K. C. de Lima, Artemis P. Guimarães, Maria C. M. de Souza, Ada A. S. Lopes, Paulo G. de S. Junior, F. S. Neto, R. Melo, Robert Valerio, Antônio L. G. Cavalcante, A. M. D. S. Lima, J. Serpa, M. Rios, Maria do Socorro Vale, José C. S. dos Santos
Biogas is a product composed of a mixture of gases resulting from the biological decomposition of organic material, consisting primarily of methane gas and carbon dioxide, besides smaller amounts of other gases. The current study aims to comprehensively analyze waste-based biogas production to ensure sustainability in the biofuel production process. An advanced systematic bibliometric analysis using keywords, co-citations, and bibliographic coupling analysis was performed on 641 peer-reviewed articles from Web of Science to conclude this goal further. This analysis covers the period from 2000 to 2022, a little more than 20 years. The methodology used reveals several themes that have been identified and addressed in the articles: (1) the importance of the topic in academia by country in which they were analyzed; (2) sectors contributing to biofuel production; (3) equipment used in biofuel production; (4) the most cited waste sources in the database; (5) application purpose of biogas; (6) relevance of other energy sources; (7) areas of interest where biofuels are used; and (8) a comparison between the energy production capacity and the number of publications on the topic by country. Furthermore, the potentials, limitations, perspectives, and future trends highlighted to improve the production process are also considered. Therefore, the conclusion is that organic waste can be used in the sustainable production of goods with added value for society.
沼气是有机物经生物分解后产生的气体混合物，主要由甲烷气体和二氧化碳组成，此外还有少量其他气体。本研究旨在全面分析基于废物的沼气生产，以确保生物燃料生产过程的可持续性。为了进一步实现这一目标，我们对 Web of Science 中的 641 篇同行评议文章进行了先进的系统文献计量分析，使用了关键词、共同引用和文献耦合分析。该分析的时间跨度为 2000 年至 2022 年，即 20 多年。所使用的方法揭示了文章中已确定和涉及的几个主题：(1)按分析国家分列的该主题在学术界的重要性；(2)有助于生物燃料生产的部门；(3)生物燃料生产中使用的设备；(4)数据库中引用最多的废物来源；(5)沼气的应用目的；(6)其他能源的相关性；(7)使用生物燃料的相关领域；以及(8)按国家分列的能源生产能力与该主题出版物数量之间的比较。此外，还考虑了为改进生产过程而强调的潜力、局限性、前景和未来趋势。因此，结论是有机废物可用于可持续生产，为社会带来附加值。
{"title":"An in-depth exploration of recent advances and promising outlooks in biogas production","authors":"Antonio Felipe da Silva Rodrigues, M. B. Sales, Ana K. de S. Braz, Viviane de C. Bizerra, P. D. S. Sousa, Rita K. C. de Lima, Artemis P. Guimarães, Maria C. M. de Souza, Ada A. S. Lopes, Paulo G. de S. Junior, F. S. Neto, R. Melo, Robert Valerio, Antônio L. G. Cavalcante, A. M. D. S. Lima, J. Serpa, M. Rios, Maria do Socorro Vale, José C. S. dos Santos","doi":"10.1063/5.0174272","DOIUrl":"https://doi.org/10.1063/5.0174272","url":null,"abstract":"Biogas is a product composed of a mixture of gases resulting from the biological decomposition of organic material, consisting primarily of methane gas and carbon dioxide, besides smaller amounts of other gases. The current study aims to comprehensively analyze waste-based biogas production to ensure sustainability in the biofuel production process. An advanced systematic bibliometric analysis using keywords, co-citations, and bibliographic coupling analysis was performed on 641 peer-reviewed articles from Web of Science to conclude this goal further. This analysis covers the period from 2000 to 2022, a little more than 20 years. The methodology used reveals several themes that have been identified and addressed in the articles: (1) the importance of the topic in academia by country in which they were analyzed; (2) sectors contributing to biofuel production; (3) equipment used in biofuel production; (4) the most cited waste sources in the database; (5) application purpose of biogas; (6) relevance of other energy sources; (7) areas of interest where biofuels are used; and (8) a comparison between the energy production capacity and the number of publications on the topic by country. Furthermore, the potentials, limitations, perspectives, and future trends highlighted to improve the production process are also considered. Therefore, the conclusion is that organic waste can be used in the sustainable production of goods with added value for society.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141024545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kaleem Ullah, Majid Ali Tunio, Zahid Ullah, Muhammad Talha Ejaz, Muhammad Junaid Anwar, Muhammad Ahsan, Ritesh Tandon
Renewable energy sources like wind and solar have increased demand for surplus power capacity. The demand is primarily fueled by the growing impact of forecasting errors associated with these intermittent energy sources. Implementing advanced control methods for automatic generation control (AGC) is essential to integrate wind and solar power with conventional generation sources to balance the power system and reduce reliance on traditional reserves. Therefore, this paper comprehensively overviews solar and wind energy integration in the AGC framework to provide optimal grid ancillary services. Initially, the paper presents an overview of the basic equations used to integrate reserve power from the photovoltaic (PV) system by employing the de-loading strategy. Subsequently, a comprehensive review is conducted on integrating the PV system in AGC strategies to provide grid ancillary services. The study also analyzes the contribution of wind power in AGC services using relevant equations and past practices. The paper presents a real-time dynamic control strategy to optimize the dispatch of the AGC unit by integrating the operating reserves from wind energy systems in conjunction with thermal power systems. The study simulates an 8-bus, 5-machine model using the Dig-SILENT Power Factory. The findings reveal that utilizing operating reserves from wind power can significantly reduce large-scale forecasting errors in massively renewable energy resources (RES) integrated power systems, thereby ensuring the necessary system operational security and reducing the reliance on traditional generating units.
{"title":"Ancillary services from wind and solar energy in modern power grids: A comprehensive review and simulation study","authors":"Kaleem Ullah, Majid Ali Tunio, Zahid Ullah, Muhammad Talha Ejaz, Muhammad Junaid Anwar, Muhammad Ahsan, Ritesh Tandon","doi":"10.1063/5.0206835","DOIUrl":"https://doi.org/10.1063/5.0206835","url":null,"abstract":"Renewable energy sources like wind and solar have increased demand for surplus power capacity. The demand is primarily fueled by the growing impact of forecasting errors associated with these intermittent energy sources. Implementing advanced control methods for automatic generation control (AGC) is essential to integrate wind and solar power with conventional generation sources to balance the power system and reduce reliance on traditional reserves. Therefore, this paper comprehensively overviews solar and wind energy integration in the AGC framework to provide optimal grid ancillary services. Initially, the paper presents an overview of the basic equations used to integrate reserve power from the photovoltaic (PV) system by employing the de-loading strategy. Subsequently, a comprehensive review is conducted on integrating the PV system in AGC strategies to provide grid ancillary services. The study also analyzes the contribution of wind power in AGC services using relevant equations and past practices. The paper presents a real-time dynamic control strategy to optimize the dispatch of the AGC unit by integrating the operating reserves from wind energy systems in conjunction with thermal power systems. The study simulates an 8-bus, 5-machine model using the Dig-SILENT Power Factory. The findings reveal that utilizing operating reserves from wind power can significantly reduce large-scale forecasting errors in massively renewable energy resources (RES) integrated power systems, thereby ensuring the necessary system operational security and reducing the reliance on traditional generating units.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141049873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The uncertainty of renewable energy output threatens the operation safety of multi-agent integrated energy system (MAIES), which makes it difficult to balance the low-carbon economic operation demands of various stakeholders. However, the existing research solely focuses on the operational strategy of multi-agent game involving integrated energy suppliers and users in deterministic scenarios, overlooking the complementary supporting role and game interaction of shared energy storage and wind farm as independent entities of interest under the instability of renewable energy power generation. Hence, this paper first establishes the optimal operation models for integrated energy system operator (IESO), user aggregator (UA), shared energy storage operator (SESO), and wind farm operator (WFO) considering the stepped carbon trading. Second, in the face of the actual situation of uncertainty of photovoltaic and wind power output, fuzzy chance-constrained programming is adopted for processing. Then, a bi-layer game equilibrium model with IESO as a leader and UA, SESO, and WFO as followers is proposed, and the existence and uniqueness of Stackelberg equilibrium solution are proved. Finally, simulation calculation is carried out based on the YALMIP toolbox in the Matlab R2023a software, and the improved particle swarm optimization algorithm and CPLEX solver are used to solve the model. The results demonstrate that the participation of SESO and WFO as independent stakeholders in the game interaction can improve the economic and environmental benefits of MAIES. The iterative optimization of demand response subsidy prices can effectively motivate users to participate in demand response, improve the ability of MAIES to cope with the uncertain risks of renewable energy generation and load, and reduce the power grid dispatch pressure.
{"title":"Low-carbon economic operation strategy for multi-agent integrated energy system considering uncertainty of renewable energy power generation","authors":"Lin Liu, Xilong Yao, Yunfei Han, Xiaoyan Qi","doi":"10.1063/5.0210023","DOIUrl":"https://doi.org/10.1063/5.0210023","url":null,"abstract":"The uncertainty of renewable energy output threatens the operation safety of multi-agent integrated energy system (MAIES), which makes it difficult to balance the low-carbon economic operation demands of various stakeholders. However, the existing research solely focuses on the operational strategy of multi-agent game involving integrated energy suppliers and users in deterministic scenarios, overlooking the complementary supporting role and game interaction of shared energy storage and wind farm as independent entities of interest under the instability of renewable energy power generation. Hence, this paper first establishes the optimal operation models for integrated energy system operator (IESO), user aggregator (UA), shared energy storage operator (SESO), and wind farm operator (WFO) considering the stepped carbon trading. Second, in the face of the actual situation of uncertainty of photovoltaic and wind power output, fuzzy chance-constrained programming is adopted for processing. Then, a bi-layer game equilibrium model with IESO as a leader and UA, SESO, and WFO as followers is proposed, and the existence and uniqueness of Stackelberg equilibrium solution are proved. Finally, simulation calculation is carried out based on the YALMIP toolbox in the Matlab R2023a software, and the improved particle swarm optimization algorithm and CPLEX solver are used to solve the model. The results demonstrate that the participation of SESO and WFO as independent stakeholders in the game interaction can improve the economic and environmental benefits of MAIES. The iterative optimization of demand response subsidy prices can effectively motivate users to participate in demand response, improve the ability of MAIES to cope with the uncertain risks of renewable energy generation and load, and reduce the power grid dispatch pressure.","PeriodicalId":16953,"journal":{"name":"Journal of Renewable and Sustainable Energy","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141140797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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