Pub Date : 2024-11-05DOI: 10.1016/j.energy.2024.133656
Emmanuel Joel Aikins Abakah , David Xuefeng Shao , Aviral Kumar Tiwari , Chien-Chiang Lee
This paper examines the asymmetric returns spillovers and time-frequency causality between the carbon emissions market and the energy market. To this end, we apply the time-varying asymmetry spillovers and Granger causality over the spectrum approaches. This research uses daily price indices of natural gas, gasoline, gas oil, heating oil, crude oil, coal, petroleum, kerosene, propane, and diesel to denote the energy market and the European Union Emissions Trading System (i.e., certificate prices for CO2 emissions) to represent the carbon market. Using historical time-series data from May 18, 2011, to September 23, 2020, the study reveals interesting and convincing empirical results showing that the carbon and energy markets are dynamically and asymmetrically connected. Further results show that the carbon market predominantly explains positive or negative returns in the energy market. Regarding volatility transmission, the study demonstrates that the carbon market is a primary net receiver of good or bad volatility transmitted from the energy market, such as crude oil, petroleum, heating oil, diesel, and kerosene.
{"title":"Asymmetric relationship between carbon market and energy markets","authors":"Emmanuel Joel Aikins Abakah , David Xuefeng Shao , Aviral Kumar Tiwari , Chien-Chiang Lee","doi":"10.1016/j.energy.2024.133656","DOIUrl":"10.1016/j.energy.2024.133656","url":null,"abstract":"<div><div>This paper examines the asymmetric returns spillovers and time-frequency causality between the carbon emissions market and the energy market. To this end, we apply the time-varying asymmetry spillovers and Granger causality over the spectrum approaches. This research uses daily price indices of natural gas, gasoline, gas oil, heating oil, crude oil, coal, petroleum, kerosene, propane, and diesel to denote the energy market and the European Union Emissions Trading System (i.e., certificate prices for CO2 emissions) to represent the carbon market. Using historical time-series data from May 18, 2011, to September 23, 2020, the study reveals interesting and convincing empirical results showing that the carbon and energy markets are dynamically and asymmetrically connected. Further results show that the carbon market predominantly explains positive or negative returns in the energy market. Regarding volatility transmission, the study demonstrates that the carbon market is a primary net receiver of good or bad volatility transmitted from the energy market, such as crude oil, petroleum, heating oil, diesel, and kerosene.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133656"},"PeriodicalIF":9.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05DOI: 10.1016/j.energy.2024.133720
Sajjad Arefdehghani , Alireza Rostamzadeh Khosroshahi , Navid Kousheshi , Ali Saberi Mehr , Hossein Nami
Integrating solid oxide fuel cells (SOFCs) with carbon capture technologies aligns with the intention to decarbonize the electricity sector. This study explores two configurations of SOFCs combined with calcium looping (CaL) carbon capture technology (SOFC/CaL): one with auxiliary heaters and another with additional fuel to supply the energy required for the carbon capture process. Results indicate that the electrical efficiency of the SOFC/CaL system is approximately 26 % lower than that of a standalone SOFC, though the overall efficiency (considering both electricity and heat as products) remains comparable. However, CO2 emission is 314.7 kg/MWh for standalone SOFC, 125.8 kg/MWh for SOFC/CaL equipped with auxiliary heaters, and 22.4 kg/MWh for SOFC/CaL retrofitted with additional fuel. The scale of the SOFC and the fuel price significantly affect the carbon capture economy and the required CO2 tax for cost parity. For a 10 MW plant with a fuel cost of 10 USD/GJ, the levelized cost of electricity is estimated at 66.7 USD/MWh for the standalone SOFC and 82.5 USD/MWh for the SOFC/CaL. A CO2 tax of 39–53 USD/tCO2 is necessary to achieve cost parity.
{"title":"Techno-economic assessment of decentralized low-carbon power plants based on solid oxide fuel cell equipped with calcium looping carbon capture","authors":"Sajjad Arefdehghani , Alireza Rostamzadeh Khosroshahi , Navid Kousheshi , Ali Saberi Mehr , Hossein Nami","doi":"10.1016/j.energy.2024.133720","DOIUrl":"10.1016/j.energy.2024.133720","url":null,"abstract":"<div><div>Integrating solid oxide fuel cells (SOFCs) with carbon capture technologies aligns with the intention to decarbonize the electricity sector. This study explores two configurations of SOFCs combined with calcium looping (CaL) carbon capture technology (SOFC/CaL): one with auxiliary heaters and another with additional fuel to supply the energy required for the carbon capture process. Results indicate that the electrical efficiency of the SOFC/CaL system is approximately 26 % lower than that of a standalone SOFC, though the overall efficiency (considering both electricity and heat as products) remains comparable. However, CO<sub>2</sub> emission is 314.7 kg/MWh for standalone SOFC, 125.8 kg/MWh for SOFC/CaL equipped with auxiliary heaters, and 22.4 kg/MWh for SOFC/CaL retrofitted with additional fuel. The scale of the SOFC and the fuel price significantly affect the carbon capture economy and the required CO<sub>2</sub> tax for cost parity. For a 10 MW plant with a fuel cost of 10 USD/GJ, the levelized cost of electricity is estimated at 66.7 USD/MWh for the standalone SOFC and 82.5 USD/MWh for the SOFC/CaL. A CO<sub>2</sub> tax of 39–53 USD/tCO<sub>2</sub> is necessary to achieve cost parity.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133720"},"PeriodicalIF":9.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposed a portable balloon-integrated photovoltaic system (BIPVS) deployed at low altitude. The inflatable and deflatable design enhances the proposed system flexibility and mobility, enabling it have a wider range of application scenarios. Case studies were conducted based on cities' data of Vasteras, Vancouver, New York, Shanghai and Hong Kong to evaluate 10,000 BIPVS's annual power generation potential. Mid-to-high latitudes are not suitable for photovoltaic power generation in winter due to snow and ice coverage. Excluding the unsuitable winter months, simulation results show that the average monthly power generation of the BIPVSs amounts to 3.921 GWh, 4.238 GWh, 4.275 GWh, 3.337 GWh, and 3.379 GWh, respectively, during the effective working months within a year, which shows the superior performance of mid-to-high latitudes over their low latitudes. Over the life cycle, the BIPVSs exhibit a cumulative power generation capacity, amounting to 479.492 GWh, 592.18 GWh, 672.105 GWh, 641.155 GWh, and 708.334 GWh, respectively, and their total profits are 79.614 million USD, 37.007 million USD, 75.146 million USD, 12.946 million USD, 107.369 million USD, accompanied by the return on investment of 218.6 %, 101.6 %, 206.3 %, 35.5 %, 294.8 %, respectively. These findings illustrate the significant energy and economic advantages and potential of BIPVS.
{"title":"A portable balloon integrated photovoltaic system deployed at low altitude","authors":"Tingsheng Zhang , Lingfei Qi , Zutao Zhang , Jinyue Yan","doi":"10.1016/j.energy.2024.133722","DOIUrl":"10.1016/j.energy.2024.133722","url":null,"abstract":"<div><div>This paper proposed a portable balloon-integrated photovoltaic system (BIPVS) deployed at low altitude. The inflatable and deflatable design enhances the proposed system flexibility and mobility, enabling it have a wider range of application scenarios. Case studies were conducted based on cities' data of Vasteras, Vancouver, New York, Shanghai and Hong Kong to evaluate 10,000 BIPVS's annual power generation potential. Mid-to-high latitudes are not suitable for photovoltaic power generation in winter due to snow and ice coverage. Excluding the unsuitable winter months, simulation results show that the average monthly power generation of the BIPVSs amounts to 3.921 GWh, 4.238 GWh, 4.275 GWh, 3.337 GWh, and 3.379 GWh, respectively, during the effective working months within a year, which shows the superior performance of mid-to-high latitudes over their low latitudes. Over the life cycle, the BIPVSs exhibit a cumulative power generation capacity, amounting to 479.492 GWh, 592.18 GWh, 672.105 GWh, 641.155 GWh, and 708.334 GWh, respectively, and their total profits are 79.614 million USD, 37.007 million USD, 75.146 million USD, 12.946 million USD, 107.369 million USD, accompanied by the return on investment of 218.6 %, 101.6 %, 206.3 %, 35.5 %, 294.8 %, respectively. These findings illustrate the significant energy and economic advantages and potential of BIPVS.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133722"},"PeriodicalIF":9.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05DOI: 10.1016/j.energy.2024.133631
Liting Deng , Yanyan Xu , Feng Xue , Zheng Pei
Forecasting CO emission is the one of most important issues for the “” CO emission target in China. Due to unbalanced socio-economic developments of regions in China, exactly forecasting CO emissions of provinces depend on their energy consumptions and economic developments. In the paper, a novel method based on -means clustering method and computing with words is proposed to forecast CO emissions of 30 provinces, which is consisted by (1) -means clustering method is used to respectively cluster energy consumption and economic datasets of provinces and the interpretable fuzzy If-Then linguistic rules of CO emissions are mined from the clusters; (2) computing with words method is utilized to transform fuzzy If-Then linguistic rules into fuzzy If-Then rules with membership functions on the universe of discourse; (3) a fuzzy inference method is adopted to forecast CO emissions of 30 provinces. To show the usefulness and effectiveness of the novel method, energy consumptions and economic datasets of 30 provinces from 1997 to 2021 are employed to forecast CO emissions, metrics of MAE, MAPE, RMSE and the out-of-sample are utilized to evaluate CO emission forecasting of 30 provinces, means of them reach 13.304, 15.279, 0.081 and 0.965. By comparative analysis for forecasting CO emissions of 30 provinces, means of MAE, MAPE, RMSE and the out-of-sample by the novel method are more than SVM, ANFIS and MLR methods. In addition, four kinds of mechanisms influencing CO are discovered and analyzed by the fuzzy If-Then linguistic rules of 30 provinces, which can help to improve energy consumption and sustainable development of 30 provinces in China.
{"title":"Mining interpretable fuzzy If-Then linguistic rules from energy and economic data to forecast CO2 emissions of regions in China","authors":"Liting Deng , Yanyan Xu , Feng Xue , Zheng Pei","doi":"10.1016/j.energy.2024.133631","DOIUrl":"10.1016/j.energy.2024.133631","url":null,"abstract":"<div><div>Forecasting CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emission is the one of most important issues for the “<span><math><mrow><mn>30</mn><mi>⋅</mi><mn>60</mn></mrow></math></span>” CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emission target in China. Due to unbalanced socio-economic developments of regions in China, exactly forecasting CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions of provinces depend on their energy consumptions and economic developments. In the paper, a novel method based on <span><math><mi>K</mi></math></span>-means clustering method and computing with words is proposed to forecast CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions of 30 provinces, which is consisted by (1) <span><math><mi>K</mi></math></span>-means clustering method is used to respectively cluster energy consumption and economic datasets of provinces and the interpretable fuzzy If-Then linguistic rules of CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions are mined from the clusters; (2) computing with words method is utilized to transform fuzzy If-Then linguistic rules into fuzzy If-Then rules with membership functions on the universe of discourse; (3) a fuzzy inference method is adopted to forecast CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions of 30 provinces. To show the usefulness and effectiveness of the novel method, energy consumptions and economic datasets of 30 provinces from 1997 to 2021 are employed to forecast CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions, metrics of MAE, MAPE, RMSE and the out-of-sample <span><math><msubsup><mrow><mi>R</mi></mrow><mrow><mi>o</mi><mi>o</mi><mi>s</mi></mrow><mrow><mn>2</mn></mrow></msubsup></math></span> are utilized to evaluate CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emission forecasting of 30 provinces, means of them reach 13.304, 15.279, 0.081 and 0.965. By comparative analysis for forecasting CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions of 30 provinces, means of MAE, MAPE, RMSE and the out-of-sample <span><math><msubsup><mrow><mi>R</mi></mrow><mrow><mi>o</mi><mi>o</mi><mi>s</mi></mrow><mrow><mn>2</mn></mrow></msubsup></math></span> by the novel method are more than SVM, ANFIS and MLR methods. In addition, four kinds of mechanisms influencing CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> are discovered and analyzed by the fuzzy If-Then linguistic rules of 30 provinces, which can help to improve energy consumption and sustainable development of 30 provinces in China.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133631"},"PeriodicalIF":9.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper focuses on the "oxygenated fuel concentration stratified lean burn to improve combustion and thermal efficiency" as a starting point and investigates the effects of combustion of high-octane oxygenated fuels in gasoline engines under overall lean burn conditions by using different injection strategies on the performance and knock combustion. The study shows that: the flame during the knock shows the characteristics of spontaneous combustion flame and normal flame collision along the cylinder wall propagation alternately, followed by local deflagration and auto-ignition point to the center of the cylinder, and then turned to the center of the surrounding flow of disordered stacked high-speed fluctuations. Combustion under concentration stratification manifests phase lag, with heat release characterized by either a single-peak continuous pattern or a double-peak staged pattern, which interchange dynamically. The single-variable method was used to obtain the optimal working condition for concentration stratification: n-butanol volume ratio of 15 %, secondary injection moment of 150°CA BTDC and injection ratio of 15 %, which improves the thermal efficiency by about 3.2 % and reduces the intensity of knock by about 20.7 %. When the proportion of ethanol replacement increases, the thermal efficiency maximum increase is about 5.2 %, but the knock situation tends to be serious.
{"title":"Study on the effect of low carbon alcohol gasoline stratified injection strategy on engine knock combustion under lean burn conditions","authors":"Ruixiu Ma, Hongqing Feng, Shuo Zhang, Lin Wang, Zhenze Niu, Xiaofan Chen","doi":"10.1016/j.energy.2024.133716","DOIUrl":"10.1016/j.energy.2024.133716","url":null,"abstract":"<div><div>This paper focuses on the \"oxygenated fuel concentration stratified lean burn to improve combustion and thermal efficiency\" as a starting point and investigates the effects of combustion of high-octane oxygenated fuels in gasoline engines under overall lean burn conditions by using different injection strategies on the performance and knock combustion. The study shows that: the flame during the knock shows the characteristics of spontaneous combustion flame and normal flame collision along the cylinder wall propagation alternately, followed by local deflagration and auto-ignition point to the center of the cylinder, and then turned to the center of the surrounding flow of disordered stacked high-speed fluctuations. Combustion under concentration stratification manifests phase lag, with heat release characterized by either a single-peak continuous pattern or a double-peak staged pattern, which interchange dynamically. The single-variable method was used to obtain the optimal working condition for concentration stratification: n-butanol volume ratio of 15 %, secondary injection moment of 150°CA BTDC and injection ratio of 15 %, which improves the thermal efficiency by about 3.2 % and reduces the intensity of knock by about 20.7 %. When the proportion of ethanol replacement increases, the thermal efficiency maximum increase is about 5.2 %, but the knock situation tends to be serious.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133716"},"PeriodicalIF":9.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05DOI: 10.1016/j.energy.2024.133723
Jicheng Liu , Xuying Ma , Chaoran Lu
The integration of offshore wind-photovoltaic-wave-hydrogen production is a sustainable energy development concept that could smooth the intermittency of renewable energy generation, reduce energy abandonment, and improve energy efficiency. However, the successful deployment of a hybrid offshore wind-photovoltaic-wave-hydrogen energy system is premised on the selection of an appropriate location, which necessitates a robust framework to support this decision. This study proposes a three-stage decision framework based on Geographic Information System and multi-criteria decision-making to determine the optimal location from macro and micro perspectives. To ensure the effectiveness of site selection, it develops a comprehensive criteria system, including exclusion criteria and evaluation criteria, encompassing geographical, resource, economy, risk, and sustainable potential aspects. Then, the spatial simulation of alternative sites is conducted according to exclusion criteria to rule out infeasible alternative sites. The multi-criteria decision-making in the third stage is performed in a rough-fuzzy environment to eliminate the uncertainty in decision-making. Finally, a case study is conducted on Hainan Island, China. The results show that the western sea area of Dongfang City is the optimal location to deploy the hybrid offshore wind-photovoltaic-wave-hydrogen energy system. The proposed framework offers a reference for practical offshore renewable energy project implementation.
{"title":"A three-stage framework for optimal site selection of hybrid offshore wind-photovoltaic-wave-hydrogen energy system: A case study of China","authors":"Jicheng Liu , Xuying Ma , Chaoran Lu","doi":"10.1016/j.energy.2024.133723","DOIUrl":"10.1016/j.energy.2024.133723","url":null,"abstract":"<div><div>The integration of offshore wind-photovoltaic-wave-hydrogen production is a sustainable energy development concept that could smooth the intermittency of renewable energy generation, reduce energy abandonment, and improve energy efficiency. However, the successful deployment of a hybrid offshore wind-photovoltaic-wave-hydrogen energy system is premised on the selection of an appropriate location, which necessitates a robust framework to support this decision. This study proposes a three-stage decision framework based on Geographic Information System and multi-criteria decision-making to determine the optimal location from macro and micro perspectives. To ensure the effectiveness of site selection, it develops a comprehensive criteria system, including exclusion criteria and evaluation criteria, encompassing geographical, resource, economy, risk, and sustainable potential aspects. Then, the spatial simulation of alternative sites is conducted according to exclusion criteria to rule out infeasible alternative sites. The multi-criteria decision-making in the third stage is performed in a rough-fuzzy environment to eliminate the uncertainty in decision-making. Finally, a case study is conducted on Hainan Island, China. The results show that the western sea area of Dongfang City is the optimal location to deploy the hybrid offshore wind-photovoltaic-wave-hydrogen energy system. The proposed framework offers a reference for practical offshore renewable energy project implementation.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133723"},"PeriodicalIF":9.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-04DOI: 10.1016/j.energy.2024.133715
Jianing Luo , Karthik Panchabikesan , Kee-hung Lai , Timothy O. Olawumi , Modupe Cecilia Mewomo , Zhengxuan Liu
Rooftop photovoltaic (PV) with battery storage offers a promising avenue for enhancing renewable energy integration in buildings. Creating microgrids with backup power from closely spaced solar buildings is widely recognized as an effective strategy. Nevertheless, a notable gap exists between the preferences and priorities of electricity consumers residing in these solar-powered buildings and the interests of microgrid investors. The electricity consumers focus on decreasing the levelized cost of energy, while the microgrid investors focuses on achieving high net profit. This study proposes a novel game theory-based microgrid optimal design approach for designing power generations of the microgrid system and PV installation with battery storage on the building roofs, considering the different requirements and interests of electricity consumers and microgrid investors. The design optimization is framed around the Nash Equilibrium of the Stackelberg game, incorporating a bi-level optimization cycle that addresses the conflict and cooperation of electricity consumers and microgrid investors. A win-win situation can be yielded using the developed optimal design approach compared to conventional optimal design approaches. The results demonstrate a significant improvement, with the microgrid power generation yielding a large net profit (up to 0.08 USD/kWh) and concurrently reducing the levelized cost of energy by approximately 14 %.
{"title":"Game-theoretic optimization strategy for maximizing profits to both end-users and suppliers in building rooftop PV-based microgrids","authors":"Jianing Luo , Karthik Panchabikesan , Kee-hung Lai , Timothy O. Olawumi , Modupe Cecilia Mewomo , Zhengxuan Liu","doi":"10.1016/j.energy.2024.133715","DOIUrl":"10.1016/j.energy.2024.133715","url":null,"abstract":"<div><div>Rooftop photovoltaic (PV) with battery storage offers a promising avenue for enhancing renewable energy integration in buildings. Creating microgrids with backup power from closely spaced solar buildings is widely recognized as an effective strategy. Nevertheless, a notable gap exists between the preferences and priorities of electricity consumers residing in these solar-powered buildings and the interests of microgrid investors. The electricity consumers focus on decreasing the levelized cost of energy, while the microgrid investors focuses on achieving high net profit. This study proposes a novel game theory-based microgrid optimal design approach for designing power generations of the microgrid system and PV installation with battery storage on the building roofs, considering the different requirements and interests of electricity consumers and microgrid investors. The design optimization is framed around the Nash Equilibrium of the Stackelberg game, incorporating a bi-level optimization cycle that addresses the conflict and cooperation of electricity consumers and microgrid investors. A win-win situation can be yielded using the developed optimal design approach compared to conventional optimal design approaches. The results demonstrate a significant improvement, with the microgrid power generation yielding a large net profit (up to 0.08 USD/kWh) and concurrently reducing the levelized cost of energy by approximately 14 %.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133715"},"PeriodicalIF":9.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-04DOI: 10.1016/j.energy.2024.133637
Aslinur Colak , Nilgun Fescioglu-Unver
The demand for public fast charging stations is increasing with the number of electric vehicles on roads. The charging queues and waiting times get longer, especially during the winter season and on holidays. Priority based service at charging stations can provide shorter delay times to vehicles willing to pay more and lower charging prices for vehicles accepting to wait more. Existing studies use classical feedback control and simulation based control methods to maintain the ratio of high and low priority vehicles’ delay times at the station’s target level. Reinforcement learning has been used successfully for real time control in environments with uncertainties. This study proposes a deep Q-Learning based real time resource allocation model for priority service in fast charging stations (DRL-EXP). Results show that the deep learning approach enables DRL-EXP to provide a more stable and faster response than the existing models. DRL-EXP is also applicable to other priority based service systems that act under uncertainties and require real time control.
{"title":"Deep reinforcement learning based resource allocation for electric vehicle charging stations with priority service","authors":"Aslinur Colak , Nilgun Fescioglu-Unver","doi":"10.1016/j.energy.2024.133637","DOIUrl":"10.1016/j.energy.2024.133637","url":null,"abstract":"<div><div>The demand for public fast charging stations is increasing with the number of electric vehicles on roads. The charging queues and waiting times get longer, especially during the winter season and on holidays. Priority based service at charging stations can provide shorter delay times to vehicles willing to pay more and lower charging prices for vehicles accepting to wait more. Existing studies use classical feedback control and simulation based control methods to maintain the ratio of high and low priority vehicles’ delay times at the station’s target level. Reinforcement learning has been used successfully for real time control in environments with uncertainties. This study proposes a deep Q-Learning based real time resource allocation model for priority service in fast charging stations (DRL-EXP). Results show that the deep learning approach enables DRL-EXP to provide a more stable and faster response than the existing models. DRL-EXP is also applicable to other priority based service systems that act under uncertainties and require real time control.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133637"},"PeriodicalIF":9.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-04DOI: 10.1016/j.energy.2024.133692
Vladimír Zmrhal , Tomáš Matuška , Bořivoj Šourek
The paper describes the development of a prototype system for water extraction from the air. The aim was to develop a device that allows one to autonomously obtain, without the need for external energy, an annual average of 100 L of water per day during extreme desert conditions. In this paper, a mathematical model simulating the operation of the unit for extracting water from the air in any climatic conditions is presented. Psychrometric calculations for different climatic conditions were carried out for two basic principles: condensation and sorption. The analyses confirmed that devices based on the condensation of water vapour from the air can only be used to a limited extent in extreme desert conditions. The average water production of a condensation-based system is only 20 l/day in Riyadh, with an air flow rate of 2000 m3/h. A unit with a desiccant wheel and an integrated heat pump was designed for water harvesting from the air. The prototype of the unit was tested in a climate chamber with the possibility of adjusting the climatic conditions and the presented mathematical model was experimentally verified. The final prototype designed for a nominal outdoor air flow rate of 2000 m3/h will produce 168 l of water per day under dry desert conditions (Riyadh) with continuous operation. The verification of the computational model allows one to determine the real water production and the required unit performance. An analyses of energy requirements and evaluation of levelized cost of water (LCOW) have been performed. Sorption unit has lower LCOW in target arid desert climate and electricity prices under 0.1 EUR/kWh compared to direct condensation technology.
{"title":"The apparatus for atmospheric water harvesting in an arid climate - Prototype design and testing in laboratory conditions","authors":"Vladimír Zmrhal , Tomáš Matuška , Bořivoj Šourek","doi":"10.1016/j.energy.2024.133692","DOIUrl":"10.1016/j.energy.2024.133692","url":null,"abstract":"<div><div>The paper describes the development of a prototype system for water extraction from the air. The aim was to develop a device that allows one to autonomously obtain, without the need for external energy, an annual average of 100 L of water per day during extreme desert conditions. In this paper, a mathematical model simulating the operation of the unit for extracting water from the air in any climatic conditions is presented. Psychrometric calculations for different climatic conditions were carried out for two basic principles: condensation and sorption. The analyses confirmed that devices based on the condensation of water vapour from the air can only be used to a limited extent in extreme desert conditions. The average water production of a condensation-based system is only 20 l/day in Riyadh, with an air flow rate of 2000 m<sup>3</sup>/h. A unit with a desiccant wheel and an integrated heat pump was designed for water harvesting from the air. The prototype of the unit was tested in a climate chamber with the possibility of adjusting the climatic conditions and the presented mathematical model was experimentally verified. The final prototype designed for a nominal outdoor air flow rate of 2000 m<sup>3</sup>/h will produce 168 l of water per day under dry desert conditions (Riyadh) with continuous operation. The verification of the computational model allows one to determine the real water production and the required unit performance. An analyses of energy requirements and evaluation of levelized cost of water (LCOW) have been performed. Sorption unit has lower LCOW in target arid desert climate and electricity prices under 0.1 EUR/kWh compared to direct condensation technology.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133692"},"PeriodicalIF":9.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Although freeze desalination has a lower latent heat of ice formation (334 kJ/kg), its energy performance is still insufficient because of energy loss associated with not using the waste heat of the active cooling system. To address this challenge, this research introduces an innovative hybrid desalination system that synergistically combines freeze, humidification-dehumidification (HDH), and vapor compression cycle (VCC) technologies. The novelty of our approach lies in simultaneously leveraging the VCC's cooling and thermal energy for freeze and dehumidification processes, respectively, which greatly increases the desalination energy performance over only achieving freeze desalination. A thermodynamic model is developed to analyze the proposed system, and a series of parametric analyses are carried out to determine the system configuration that obtains the highest performance. Ultimately, a higher ice recovery rate of 20 % offers the best total desalination performance of only 63 Wh/kg. Furthermore, the HDH desalination unit can make up the for loss of freeze desalination performance at higher feed seawater temperatures, ensuring robust performance even under high-temperature conditions.
{"title":"Performance analysis of coupling vapor compression cycle to freeze and humidification-dehumidification based high-performance desalination","authors":"Trevor Hocksun Kwan, Ding Zhang, Ziyang Chen, Zhixin Liao, Zhuohang Zhang, Jiale Huang","doi":"10.1016/j.energy.2024.133697","DOIUrl":"10.1016/j.energy.2024.133697","url":null,"abstract":"<div><div>Although freeze desalination has a lower latent heat of ice formation (334 kJ/kg), its energy performance is still insufficient because of energy loss associated with not using the waste heat of the active cooling system. To address this challenge, this research introduces an innovative hybrid desalination system that synergistically combines freeze, humidification-dehumidification (HDH), and vapor compression cycle (VCC) technologies. The novelty of our approach lies in simultaneously leveraging the VCC's cooling and thermal energy for freeze and dehumidification processes, respectively, which greatly increases the desalination energy performance over only achieving freeze desalination. A thermodynamic model is developed to analyze the proposed system, and a series of parametric analyses are carried out to determine the system configuration that obtains the highest performance. Ultimately, a higher ice recovery rate of 20 % offers the best total desalination performance of only 63 Wh/kg. Furthermore, the HDH desalination unit can make up the for loss of freeze desalination performance at higher feed seawater temperatures, ensuring robust performance even under high-temperature conditions.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"313 ","pages":"Article 133697"},"PeriodicalIF":9.0,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}