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...

Full description

Saved in:

Bibliographic Details
Published in:	Energy conversion and management Vol. 230; p. 113823
Main Authors:	Das, Barun K., Hassan, Rakibul, Tushar, Mohammad Shahed H.K., Zaman, Forhad, Hasan, Mahmudul, Das, Pronob
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 15.02.2021 Elsevier Science Ltd
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!