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An Open-source Platform for Simulation and Optimization of Clean Energy Technologies
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-1351-9245
KTH Royal Institute of Technology, Sweden.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-6279-4446
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2017 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 105, 946-952 p.Article in journal (Refereed) Published
Abstract [en]

This paper is to describe an open-source code for optimization of clean energy technologies. The model covers the whole chain of energy systems including mainly 6 areas: renewable energies, clean energy conversion technologies, mitigation technologies, intelligent energy uses, energy storage, and sustainability. Originally developed for optimization of renewable water pumping systems for irrigation, the open-source model is written in Matlab® and performs simulation, optimization, and design of hybrid power systems for off-grid and on-grid applications. The model uses genetic algorithm (GA) as optimization technique to find the best mix among power sources, storage systems, and back-up sources to minimize life cycle cost, and renewable power system reliability. 

Place, publisher, year, edition, pages
Elsevier Ltd , 2017. Vol. 105, 946-952 p.
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-35990DOI: 10.1016/j.egypro.2017.03.423Scopus ID: 2-s2.0-85020730077OAI: oai:DiVA.org:mdh-35990DiVA: diva2:1118015
Conference
8th International Conference on Applied Energy, ICAE 2016, 8 October 2016 through 11 October 2016
Available from: 2017-06-29 Created: 2017-06-29 Last updated: 2017-06-29Bibliographically approved

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Campana, Pietro EliaAnders, LundbladLi, HailongYan, Jinyue
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CiteExportLink to record
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Citation style
  • apa
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  • modern-language-association-8th-edition
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More styles
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  • de-DE
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