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SmartMicro Grid Energy System Management Based on Optimum Running Cost for Rural Communities in Rwanda 被引量:2
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作者 Fabien Mukundufite Jean Marie Vianney Bikorimana Alexander Kyaruzi Lugatona 《Energy Engineering》 EI 2024年第7期1805-1821,共17页
The governmental electric utility and the private sector are joining hands to meet the target of electrifying all households by 2024.However,the aforementioned goal is challenged by households that are scattered in re... The governmental electric utility and the private sector are joining hands to meet the target of electrifying all households by 2024.However,the aforementioned goal is challenged by households that are scattered in remote areas.So far,Solar Home Systems(SHS)have mostly been applied to increase electricity access in rural areas.SHSs have continuous constraints to meet electricity demands and cannot run income-generating activities.The current research presents the feasibility study of electrifying Remera village with the smart microgrid as a case study.The renewable energy resources available in Remera are the key sources of electricity in that village.The generation capacity is estimated based on the load profile.The microgrid configurations are simulated with HOMER,and the genetic algorithm is used to analyze the optimum cost.By analyzing the impact of operation and maintenance costs,the results show that the absence of subsidies increases the levelized cost of electricity(COE)five times greater than the electricity price from the public utility.The microgrid made up of PV,diesel generator,and batteries proved to be the most viable solution and ensured continuous power supply to customers.By considering the subsidies,COE reaches 0.186$/kWh,a competitive price with electricity from public utilities in Rwanda. 展开更多
关键词 Load demand load profile optimum running cost power demand satisfaction smart meters and smart micro grid
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Neuromuscular,biomechanical,and energetic adjustments following repeated bouts of downhill running
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作者 Arash Khassetarash Gianluca Vernillo +2 位作者 Renata L.Krüger W.Brent Edwards Guillaume Y.Millet 《Journal of Sport and Health Science》 SCIE 2022年第3期319-329,共11页
Purpose This study used downhill running as a model to investigate the repeated bout effect(RBE)on neuromuscular performance,running biomechanics,and metabolic cost of running.Methods Ten healthy recreational male run... Purpose This study used downhill running as a model to investigate the repeated bout effect(RBE)on neuromuscular performance,running biomechanics,and metabolic cost of running.Methods Ten healthy recreational male runners performed two 30-min bouts of downhill running(DR1 and DR2)at a-20%slope and 2.8 m/s 3 weeks apart.Neuromuscular fatigue,level running biomechanics during slow and fast running,and running economy parameters were recorded immediately before and after the downhill bouts,and at 24 h,48 h,72 h,96 h,and 168 h thereafter(i.e.,follow-up days).Results An RBE was confirmed by attenuated muscle soreness and serum creatine kinase rise after DR2 compared to DR1.An RBE was also observed in maximum voluntary contraction(MVC)force loss and voluntary activation where DR2 resulted in attenuated MVC force loss and voluntary activation immediately after the run and during follow-up days.The downhill running protocol significantly influenced level running biomechanics;an RBE was observed in which center of mass excursion and,therefore,lower-extremity compliance were greater during follow-up days after DR1 compared to DR2.The observed changes in level running biomechanics did not influence the energy cost of running.Conclusion This study demonstrated evidence of adaptation in neural drive as well as biomechanical changes with the RBE after DR.The higher neural drive resulted in attenuated MVC force loss after the second bout.It can be concluded that the RBE after downhill running manifests as changes to global and central fatigue parameters and running biomechanics without substantially altering the energy cost of running. 展开更多
关键词 cost of running Eccentric exercise Fatigue Muscle damage
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Technical progress and application of global carbon dioxide capture,utilization and storage cluster 被引量:1
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作者 WANG Guofeng LYU Weifeng +4 位作者 CUI Kai JI Zemin WANG Heng HE Chang HE Chunyu 《Petroleum Exploration and Development》 2025年第2期536-547,共12页
By systematically reviewing the development status of global carbon dioxide capture,utilization and storage(CCUS)cluster,and comparing domestic and international CCUS industrial models and successful experiences,this ... By systematically reviewing the development status of global carbon dioxide capture,utilization and storage(CCUS)cluster,and comparing domestic and international CCUS industrial models and successful experiences,this study explores the challenges and strategies for the scaled development of the CCUS industry of China.Globally,the CCUS industry has entered a phase of scaled and clustered development.North America has established a system of key technologies in large-scale CO_(2) capture,long-distance pipeline transmission,pipeline network optimization,and large-scale CO_(2) flooding for enhanced oil recovery(CO_(2)-EOR),with relatively mature cluster development and a gradual shift in industrial model from CO_(2)-EOR to geological storage.The CCUS industry of China has developed rapidly across all segments but remains in the early stage of cluster development,facing challenges such as absent business model,insufficient policy support,and technological gaps in core areas.China needs to improve the policy support system to boost enterprises participation across the entire industrial chain,strengthen top-level design and medium-to long-term planning to accelerate demonstration projects construction for whole-process CCUS clusters,advance for a full-chain technological system,including low-cost capture,pipeline optimization and EOR/storage integration technologies,and strengthen personnel training,strengthen discipline construction and university-enterprise research cooperation. 展开更多
关键词 CCUS industrial cluster business model policy guarantee entire industrial chain technology running cost
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