Polygeneration system optimization for building energy system retrofit: A case of study for TR5 building of UPC-Terrassa

The building sector represents around one-third of the energy related to the EU CO2 eq 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 bui...

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Detalles Bibliográficos
Autores: Pinto, Edwin S., Amante, Beatriz
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universidad de Zaragoza
Repositorio:Zaguán. Repositorio Digital de la Universidad de Zaragoza
OAI Identifier:oai:zaguan.unizar.es:118872
Acceso en línea:http://zaguan.unizar.es/record/118872
Access Level:acceso abierto
Descripción
Sumario:The building sector represents around one-third of the energy related to the EU CO2 eq 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 life Li-Ion batteries, among others, to achieve cost-effective and sustainable energy systems. By covering the available area, 2000 , 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.