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Clean Technologies and Environmental Policy

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14.06.2018 | Original Paper

Distributed polygeneration using local resources for an Indian village: multiobjective optimization using metaheuristic algorithm

verfasst von: Avishek Ray, Kuntal Jana, Mohsen Assadi, Sudipta De

Erschienen in: Clean Technologies and Environmental Policy | Ausgabe 6/2018

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Abstract

Introduction of renewable energy systems is an imperative need at present. Hybridization of locally available different renewable resources is required due to intermittency of these resources. A multicriteria optimization using cuckoo search algorithm for simultaneous best combination of economy, land use and GHG emission has been carried out for polygeneration with three utility outputs. These are electricity, heat and high calorific value gas. The levelized cost of electricity at 100% reliability of power supply has come out to be 0.1 USD/kWh. For better economy, a minimum plant life of 20 years is desired. This study is with data for a small hilly village of India with mostly poor people. Methodology and results of this study represent optimization of such sustainable energy systems using local resources in specific sites.

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Titel: Distributed polygeneration using local resources for an Indian village: multiobjective optimization using metaheuristic algorithm
verfasst von: Avishek Ray
Kuntal Jana
Mohsen Assadi
Sudipta De
Publikationsdatum: 14.06.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Clean Technologies and Environmental Policy / Ausgabe 6/2018
Print ISSN: 1618-954X
Elektronische ISSN: 1618-9558
DOI: https://doi.org/10.1007/s10098-018-1562-y

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