151039 20251017144629.0 doi 10.1016/j.scs.2022.103885 sideral 128721 ART-2022-128721 eng Pinto, E. S. (orcid)0000-0003-0231-8795 Energy communities approach applied to optimize polygeneration systems in residential buildings: Case study in Zaragoza, Spain 2022 Access copy available to the general public Unrestricted The residential sector plays an important role to combat climate change. It requires alternatives to reduce its energy consumption and greenhouse gases emissions. Thus, polygeneration systems are a suitable alternative enabling efficient use of natural resources with low environmental impact. On the other hand, microgrids are considered a key component for improving power reliability and quality, besides they offer resilient and viable solution for integrating renewable energy sources at a large scale. Accordingly, this paper proposes an approach for the design of polygeneration systems for residential buildings considering them not only as a microgrid but as a smart energy system. A Mixed Integer Linear Programming (MILP) model was developed for the optimization of polygeneration systems considering different constraints which allow the energy system to work as a microgrid. Different thermal and electrical technologies where evaluated under different conditions, finding affordable and sustainable configurations and interesting synergies between technologies. Results show the importance to consider both thermal and electrical demands and technologies simultaneously for the design of energy systems. It is highlighted the displacement of batteries by thermal energy storage to achieve more cost-effective solutions in contrast to the current tendency to uphold battery systems as the key for future energy systems. info:eu-repo/grantAgreement/ES/DGA/T55-20R info:eu-repo/grantAgreement/ES/MINECO/ENE2017-87711-R info:eu-repo/grantAgreement/ES/MINECO-PID2020-115500RB-I00 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 11.7 2022 CONSTRUCTION & BUILDING TECHNOLOGY 1 / 68 = 0.015 2022 Q1 T1 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY 7 / 46 = 0.152 2022 Q1 T1 ENERGY & FUELS 13 / 119 = 0.109 2022 Q1 T1 2.305 2022 Civil and Structural Engineering 2022 Q1 Transportation 2022 Q1 Renewable Energy, Sustainability and the Environment 2022 Q1 Geography, Planning and Development 2022 Q1 18.4 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Serra, L. M. Universidad de Zaragoza (orcid)0000-0002-5161-7209 Lázaro, A. Universidad de Zaragoza (orcid)0000-0001-7360-4188 5004 590 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Máquinas y Motores Térmi. 82 (2022), 103885 [17 pp.] Sustain. cities society Sustainable Cities and Society 2210-6707 3637161 http://zaguan.unizar.es/record/151039/files/texto_completo.pdf Versión publicada 2628371 http://zaguan.unizar.es/record/151039/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:151039 articulos driver 2025-10-17-14:25:45 ARTICLE