Analysis strategy for multi-criteria optimization: Application to inter-seasonal solar heat storage for residential building needs
| Autor: | S. Launay, O. Le Métayer, Benjamin Kadoch, C. Parrado |
|---|---|
| Přispěvatelé: | Institut universitaire des systèmes thermiques industriels (IUSTI), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Funding for this research was provided by: CONICYTCONICYT FONDAP (15110019) Solar Energy Research Centre (3140014, FIC-R 30137092)Atacama Government and the Education Ministry of Chile (PMI ANT 1201) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
Work (thermodynamics) Renewable energy Computer science 020209 energy 02 engineering and technology 7. Clean energy Multi-objective optimization Industrial and Manufacturing Engineering Inter-seasonal thermal energy storage 020401 chemical engineering Multi criteria 0202 electrical engineering electronic engineering information engineering Sensitivity (control systems) 0204 chemical engineering Electrical and Electronic Engineering Civil and Structural Engineering Coupling Solar district heating business.industry Mechanical Engineering Solar heat Building energy Building and Construction Pollution General Energy [SPI.MECA.THER]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph] business Sensitivity analysis |
| Zdroj: | Energy Energy, Elsevier, 2019, 171, pp.419-434. ⟨10.1016/j.energy.2018.12.181⟩ Energy, 2019, 171, pp.419-434. ⟨10.1016/j.energy.2018.12.181⟩ |
| ISSN: | 0360-5442 |
| DOI: | 10.1016/j.energy.2018.12.181⟩ |
| Popis: | International audience; As energetic systems become more and more complex, it is necessary to develop strategies for analyzing the influence of the parameters as well as their couplings. This approach is even unavoidable when the optimization procedure is based on multi-criteria. In the present work, we propose an analysis strategy for multi-criteria optimization applied to inter-seasonal solar heat storage for residential building energy needs, including heating and domestic hot water. The modeling is based on simplified equations of the components, while keeping the main physical and coupling phenomena. A sensitivity study is applied to the corresponding energetic system in order to identify the most relevant parameters and couplings interacting on the various output objectives. Several simulations are performed to investigate a multi-objective optimization and various figure representations are presented to refine the analysis. |
| Databáze: | OpenAIRE |
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