Techno-economic and environmental assessment of a hybrid renewable energy system using multi-objective genetic algorithm: A case study for remote Island in Bangladesh

•Hybrid solar, wind, biogas with vanadium redox flow battery-based system is studied.•Cost and life cycle emissions are optimised by multi-objective genetic algorithm.•Multi-objective provides better environmental benefits than single objective one.•Evolutionary algorithm offers cost-effective solut...

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Vydané v:	Energy conversion and management Ročník 230; s. 113823
Hlavní autori:	Das, Barun K., Hassan, Rakibul, Tushar, Mohammad Shahed H.K., Zaman, Forhad, Hasan, Mahmudul, Das, Pronob
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Elsevier Ltd 15.02.2021 Elsevier Science Ltd
Predmet:	Algorithms Alternative energy sources Bangladesh batteries Biogas Carbon dioxide case studies Comparative analysis Computer programs computer software Cost of energy Decision making ecosystem services Electricity electricity costs Emissions energy conversion Energy resources Energy sources Environmental assessment Evolutionary algorithms flow French West Indies Genetic algorithms Hybrid systems hybrids Life cycle emissions Life cycles Multiple objective analysis Objective function Optimization Photovoltaic cells Photovoltaics probability Rechargeable batteries Reliability Renewable energy Software Software development tools solar collectors Sorting algorithms supply Supplying Turbines Vanadium Wind power Wind turbines Bangladesh French West Indies Renewable energy Cost of energy Reliability Life cycle emissions
ISSN:	0196-8904, 1879-2227
On-line prístup:	Získať plný text
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