An Open-source Platform for Simulation and Optimization of Clean Energy Technologies. (May 2017)

• Record Type: Journal Article
• Authors: Elia, Campana Pietro; Yang, Zhang; Anders, Lundblad; Hailong, Li; Jinyue, Yan
• Is Part Of: Energy procedia. Volume 105(2017)
• Page Start: 946
• Page End: 952
• Publication Date: 2017-05
• Subjects: Open-source software -- optimization -- clean energies -- genetic algorithm; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2017.03.423
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: 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.