Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm-Reference-Cited by-同舟云学术

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Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm

Published:2020-07 Issue: Volume:269 Page:115058
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Mayer Martin János,Szilágyi Artúr,Gróf Gyula

Funder

National Research, Development and Innovation Fund

Higher Education and Industrial Cooperation Centre

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference73 articles.

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3. Influence of hydrologically based environmental flow methods on flow alteration and energy production in a run-of-river hydropower plant;Kuriqi;J Clean Prod,2019

4. Hydrologic Alteration at the Upper and Middle Part of the Yangtze River, China: Towards Sustainable Water Resource Management Under Increasing Water Exploitation;Ali;Sustainability,2019

5. IPCC Intergovermental Panel on Climate Change. Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press; 2014.

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