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An Open-source Platform for Simulation and Optimization of Clean Energy Technologies
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi.ORCID-id: 0000-0002-1351-9245
KTH Royal Institute of Technology, Sweden.
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi.
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi.ORCID-id: 0000-0002-6279-4446
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2017 (engelsk)Inngår i: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 105, s. 946-952Artikkel i tidsskrift (Fagfellevurdert) 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. 

sted, utgiver, år, opplag, sider
Elsevier Ltd , 2017. Vol. 105, s. 946-952
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-35990DOI: 10.1016/j.egypro.2017.03.423ISI: 000404967901007Scopus ID: 2-s2.0-85020730077OAI: oai:DiVA.org:mdh-35990DiVA, id: diva2:1118015
Konferanse
8th International Conference on Applied Energy, ICAE 2016, 8 October 2016 through 11 October 2016
Tilgjengelig fra: 2017-06-29 Laget: 2017-06-29 Sist oppdatert: 2018-07-25bibliografisk kontrollert

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