Articles producció científica> Enginyeria Química

Sustainability insights on emerging solar district heating technologies to boost the nearly zero energy building concept

  • Identification data

    Identifier: imarina:9230610
    Authors:
    Hany Abokersh, MohamedGangwar, SachinSpiekman, MarleenValles, ManelJimenez, LaureanoBoer, Dieter
    Abstract:
    Arising the Nearly Zero Energy Buildings (NZEB) concept in Europe, the solar district heating systems (SDHS) present a potential solution to meet the buildings sector's European energy performance directive. Nevertheless, current practices face several technological and economical barriers to ensure service quality. In this context, our work presents a sustainability analysis (technical, economic, environmental, and social) for SDHS integration in the residential sector to meet the NZEB and positive energy building goals. This paper proposes an application of a machine learning model incorporating multi-objective optimization and multi-criteria decision making to facilitate a sustainability index for the decision-making stakeholders and policymakers. The proposed analysis application is illustrated through retrofitted residential communities with building energy rating (D) at different sizes (10, 25, 50,100, and 500 houses) located in Emmen (Netherlands) and compared to a standard decentralized heat pump. The optimization results show the ability of SDHS to provide a solar fraction up to 95% in the community of 500 houses. Furthermore, achieving a NZEB status is only approved economically from a community size of 100 houses with a life cycle cost of 41 V/m2 and a payback period of 25 years. These results align with a substantial environmental and social improvement of 78.2% and 29.7%, respectively, compared to the decentralized heat pump. Overall, this study provides policy decision making with an evaluation for positive energy communities and suggests the SDHS integration to meet the global sustainability goals. (c) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0
  • Others:

    Author, as appears in the article.: Hany Abokersh, Mohamed; Gangwar, Sachin; Spiekman, Marleen; Valles, Manel; Jimenez, Laureano; Boer, Dieter;
    Department: Enginyeria Mecànica Enginyeria Química
    URV's Author/s: Abokersh, Mohamed Hany Mohamed Basiuony / Boer, Dieter-Thomas / Gangwar, Sachin / Jiménez Esteller, Laureano / Vallès Rasquera, Joan Manel
    Project code: Grant agreement No. 713679
    Keywords: Zero energy buildings System integration Sustainable development Sustainability targets Sustainability target Sustainability Storage Solar power Solar assisted district heating system Solar assisted district heating Sensitivity-analysis Residential location Optimization Netherlands Nearly zero energy building Multiobjective optimization Multicriterion decision makings Multicriteria decision-making Multi-objectives optimization Multi-objective optimization Multi-criteria decision making Multi criteria decision-making Machine learning Life cycle assessment Life cycle Investments Intelligent buildings Houses Heating equipment Heat pump systems Energy efficiency District heating system District heating Design optimization Decision-making Decision making Costs Consumption Alternative energy
    Abstract: Arising the Nearly Zero Energy Buildings (NZEB) concept in Europe, the solar district heating systems (SDHS) present a potential solution to meet the buildings sector's European energy performance directive. Nevertheless, current practices face several technological and economical barriers to ensure service quality. In this context, our work presents a sustainability analysis (technical, economic, environmental, and social) for SDHS integration in the residential sector to meet the NZEB and positive energy building goals. This paper proposes an application of a machine learning model incorporating multi-objective optimization and multi-criteria decision making to facilitate a sustainability index for the decision-making stakeholders and policymakers. The proposed analysis application is illustrated through retrofitted residential communities with building energy rating (D) at different sizes (10, 25, 50,100, and 500 houses) located in Emmen (Netherlands) and compared to a standard decentralized heat pump. The optimization results show the ability of SDHS to provide a solar fraction up to 95% in the community of 500 houses. Furthermore, achieving a NZEB status is only approved economically from a community size of 100 houses with a life cycle cost of 41 V/m2 and a payback period of 25 years. These results align with a substantial environmental and social improvement of 78.2% and 29.7%, respectively, compared to the decentralized heat pump. Overall, this study provides policy decision making with an evaluation for positive energy communities and suggests the SDHS integration to meet the global sustainability goals. (c) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
    Thematic Areas: Renewable energy, sustainability and the environment Química Materiais Interdisciplinar Green & sustainable science & technology Geografía Geociências Farmacia Engenharias iv Engenharias iii Engenharias ii Engenharias i Energy & fuels Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biodiversidade Astronomia / física Arquitetura, urbanismo e design Arquitetura e urbanismo Administração, ciências contábeis e turismo Administração pública e de empresas, ciências contábeis e turismo
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: sachin.gangwar@estudiants.urv.cat sachin.gangwar@estudiants.urv.cat dieter.boer@urv.cat laureano.jimenez@urv.cat manel.valles@urv.cat
    Author identifier: 0000-0002-5532-6409 0000-0002-3186-7235 0000-0002-0748-1287
    Record's date: 2024-07-27
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/pii/S0960148121012593
    Funding program: Martí i Franquès COFUND Doctoral Programme
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Renewable Energy. 180 893-913
    APA: Hany Abokersh, Mohamed; Gangwar, Sachin; Spiekman, Marleen; Valles, Manel; Jimenez, Laureano; Boer, Dieter; (2021). Sustainability insights on emerging solar district heating technologies to boost the nearly zero energy building concept. Renewable Energy, 180(), 893-913. DOI: 10.1016/j.renene.2021.08.091
    Acronym: MFP
    Article's DOI: 10.1016/j.renene.2021.08.091
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Funding program action: Marie Skłodowska-Curie Actions - European Union's Horizon 2020 research and innovation programme
    Publication Type: Journal Publications
  • Keywords:

    Energy & Fuels,Green & Sustainable Science & Technology,Renewable Energy, Sustainability and the Environment
    Zero energy buildings
    System integration
    Sustainable development
    Sustainability targets
    Sustainability target
    Sustainability
    Storage
    Solar power
    Solar assisted district heating system
    Solar assisted district heating
    Sensitivity-analysis
    Residential location
    Optimization
    Netherlands
    Nearly zero energy building
    Multiobjective optimization
    Multicriterion decision makings
    Multicriteria decision-making
    Multi-objectives optimization
    Multi-objective optimization
    Multi-criteria decision making
    Multi criteria decision-making
    Machine learning
    Life cycle assessment
    Life cycle
    Investments
    Intelligent buildings
    Houses
    Heating equipment
    Heat pump systems
    Energy efficiency
    District heating system
    District heating
    Design optimization
    Decision-making
    Decision making
    Costs
    Consumption
    Alternative energy
    Renewable energy, sustainability and the environment
    Química
    Materiais
    Interdisciplinar
    Green & sustainable science & technology
    Geografía
    Geociências
    Farmacia
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Energy & fuels
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Biotecnología
    Biodiversidade
    Astronomia / física
    Arquitetura, urbanismo e design
    Arquitetura e urbanismo
    Administração, ciências contábeis e turismo
    Administração pública e de empresas, ciências contábeis e turismo
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