Polygeneration system optimization for building energy system retrofit: A case of study for TR5 building of UPC-Terrassa
| Autor: | Edwin S. Pinto, Beatriz Amante |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció, Universitat Politècnica de Catalunya. ENMA - Enginyeria del Medi Ambient |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Architecture and energy conservation
Mechanical Engineering Energies::Eficiència energètica [Àrees temàtiques de la UPC] Edificació::Instal·lacions i acondicionament d'edificis [Àrees temàtiques de la UPC] Building and Construction Photovoltaic power generation Cogeneration of electric power and hea 2nd life Li-Ion batteries Arquitectura i estalvi d'energia Lithium ion batteries Polygeneration systems Energy system retrofit Bateries d'ió liti Cogeneració de calor i d'electricitat Electrical and Electronic Engineering Energia solar fotovoltaica Multiobjective optimization MILP Civil and Structural Engineering |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Zaguán. Repositorio Digital de la Universidad de Zaragoza instname |
| Popis: | The building sector represents around one-third of the energy related to the EU CO2eq emissions, which makes it a crucial sector for achieving the EU’s energy and environmental goals. Thus, the EU has established a legislative framework to foster, among others, the modernisation of the existing building stock through a better energy system integration. In this sense, bearing in mind the needs of energy system retrofit of the public buildings in Spain, this paper carried out a thorough analysis of different trade-off solutions obtained from the multiobjective optimization of a polygeneration system for the TR5 building of the Polytechnic University of Catalunya. The results highlight the selection of PV panels, cogeneration modules and 2nd life Li-Ion batteries, among others, to achieve cost-effective and sustainable energy systems. By covering the available area, 2000 m2, the PV panels attend about 23% of the electricity required for the building. On the other hand, considering the current geopolitical tensions, it presents a potential configuration that allows to cut off the natural gas consumption reducing about 6% the current cost. The study was carried out by using a Mixed Integer Linear Programming model maximizing the Net Present Value of the project considering the environmental impact. The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Edwin S. Pinto reports financial support was provided by Europe Union-NextGenerationEU and the Ministry of Universities of Spain. |
| Databáze: | OpenAIRE |
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