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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Veröffentlicht in:	Energy conversion and management 2021-02, Vol.230, p.113823, Article 113823
Hauptverfasser:	Das, Barun K., Hassan, Rakibul, Tushar, Mohammad Shahed H.K., Zaman, Forhad, Hasan, Mahmudul, Das, Pronob
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alternative energy sources Biogas Carbon dioxide Comparative analysis Computer programs Cost of energy Decision making Electricity Emissions Energy resources Energy sources Environmental assessment Evolutionary algorithms Genetic algorithms Hybrid systems Life cycle emissions Life cycles Multiple objective analysis Objective function Optimization Photovoltaic cells Photovoltaics Rechargeable batteries Reliability Renewable energy Software Software development tools Sorting algorithms Supplying Turbines Vanadium Wind power Wind turbines
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