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标题：Lexicographic Multi-objective Optimisation of Hybrid Power Generation Systems for Communities in Non-Interconnected Zones
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作者：Edgar Ojeda Camargo ; John E. Candelo-Becerra ; Alcides Santander Mercado 等
期刊名称：International Journal of Energy Economics and Policy
电子版ISSN：2146-4553
出版年度：2019
卷号：9
期号：3
页码：205-217
DOI：10.32479/ijeep.7574
出版社：EconJournals
摘要：The low energy symbiosis for development metabolism is reviewed for its potential to enhance the implementability of the Sustainable Development Goals. Metabolism is the carrying capacity limit of rural-urban or rurban eco-systems, that is self-replenishable through endurability drawn from metabolic processes. This research paper probes the symbiotic common-ground for sustainability for the shared value-based policy metabolism, deployed on emerging Asia. The unified motivation would be to co-implement quantum innovations and adaptations on governance mechanisms to usher pathways on symbiosis for sustainability. Intended outcomes are budgeting social metabolism, symbiotic scale-up that would attain efficiency and practicality. An important destination is trust renaissance developed on common-ground challenges facing the aspirational low carbon Energy-Asia. This conceptual paper posits a dual aimed methodology. (i) Where low carbon Energy-Asia would like to be for symbiotic common-ground for sustainability through trust renaissance and, (ii) what shared value policy trajectory should be plugged-in for healthy metabolism into their symbiotic development strategy. The unified motivation would be to co-implement quantum innovations and adaptations on governance mechanisms to usher pathways on symbiosis for sustainability.
其他摘要：Energy supply applications for populations in isolated areas have great importance in reducing poverty and environmental impacts. However, rural zones not connected to power grids require more studies related to select low cost and efficient technologies suitable to each size of community. This paper presents a lexicographic multi-objective optimisation model (LMOM) to select the best renewable energy technologies (solar and wind) of hybrid power generation systems (HPGSs) for communities located in non-interconnected zones. The model prioritises objective functions such as the generation cost, emissions of carbon dioxide (CO 2 ) and energy consumption in ton-equivalent petroleum (TEP). In addition, the model considers constraints related to the production cost, environmental sustainability, environmental conditions and reliability of the system. The results show that the model provides sustainable HPGSs adapted to the size of each community and the best renewable energy technologies are the central receiver system and the wind turbine with a 20-metre tower.
关键词：Renewable Energy; Rural Communities; Multi-objective OptimizationJEL Classifications C61; Q42
其他关键词：Renewable Energy; Rural Communities; Multi-objective Optimization