A flexible metamodel architecture for optimal design of Hybrid Renewable Energy Systems (HRES) - Case study of a stand-alone HRES for a factory in tropical island

JOURNAL OF CLEANER PRODUCTION

卷:223

Article

Roth, Anastasia^1,2  Boix, Marianne¹  Gerbaud, Vincent¹  Montastruc, Ludovic¹  Etur, Philippe² 

[1] Univ Toulouse, CNRS, Lab Genie Chim, INPT,UPS, Toulouse, France

[2] VALOREM, 213 Cours Victor Hugo, Begles, France

关键词: Hybrid renewable energy system;    Grassroots design;    Metamodel;    Optimization;   

DOI  :  10.1016/j.jclepro.2019.03.095

来源: Elsevier

【 摘 要 】

The energy sector is mutating with an increasing share of renewable energy. Renewable energy developers are facing new challenges, in particular sizing systems that combine multiple production sources and storage devices to match demand. Accordingly, this paper proposes a flexible metamodel architecture and a C++ software implementation for the grassroots design of Hybrid Renewable Energy System (HRES). The metamodel enables one to build optimization problem formulated as a Mixed Integer Linear Problem (MILP) with a tailor-made objective function to find the optimal size of HRES. The flexibility of the metamodel lies in its ability to handle many hybrid system configurations for three common types of usages of HRES, either for onsite demand, remote demand or a combination. It is demonstrated with two specific case studies, a stand-alone HRES composed of PV panels, battery set, and a diesel generator; and a factory in a tropical island. This paper contributes to a better adoption of cleaner production systems since it provides to decision makers a tool for HRES assessment. (C) 2019 Elsevier Ltd. All rights reserved.

【 授权许可】

Free