Modeling Hybrid Renewable Energy Systems for Optimal Investment and Operational Decisions

• Published in: SN computer science Vol. 3; no. 3; p. 246
• Main Authors: Levy, Roberto, Brodsky, Alexander
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.05.2022; Springer Nature B.V
• Subjects: Alternative energy sources; Case studies; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Data Structures and Information Theory; Electric utilities; Electricity distribution; Energy consumption; Environmental impact; Guidance systems; Hybrid systems; Information Systems and Communication Service; Libraries; Linear programming; Mathematical programming; Network management systems; Operations Research and Enterprise Systems; Optimization; Original Research; Ownership; Pattern Recognition and Graphics; Power; Programming languages; Renewable energy; Renewable resources; Simulation; Software Engineering/Programming and Operating Systems; Supply & demand; Variables; Vision; Power networks; Mixed integer linear programming; Optimization; Investment decision guidance; Hybrid renewable energy system

This paper focuses on making optimal investment and operational recommendations for a Hybrid Renewable Energy System (HRES). For this purpose, we develop a modular composite analytic performance model for HRES investment, which is based on an extensible library of atomic component models, including...