Articles producció científica> Enginyeria Mecànica

Flexible heat pump integration to improve sustainable transition toward 4th generation district heating

  • Datos identificativos

    Identificador: imarina:8505382
    Autores:
    Abokersh MHSaikia KCabeza LFBoer DVallès M
    Resumen:
    © 2020 Elsevier Ltd The movement toward the 4th generation district heating (4GDH) embraces a great opportunity to support the future smart energy development concept. However, its development calls for addressing technological and economic obstacles aligning with the need for a reformation of the energy market to ensure the quality of service. In this context, our paper presents a comprehensive analysis based on a multi-objective optimization framework incorporating an artificial neural network-based model for the possibility of integrating heat pump (HP) into solar assisted district heating system (SDHS) with seasonal thermal energy storage to support the sustainable transition toward 4GDH. The study evaluates the performance of the proposed system with the help of key performance indicators (KPI) related to the 4GDH characteristics and key stakeholders for possible market growth with consideration for the environmental benefits. The proposed analysis is applied to a small neighbourhood of 10 residential buildings located in Madrid (Spain) to investigate the optimal integration of HP under different control strategies into a SDHS. Inherent the SDHS operator perspective, the results reveal a significant improvement in the stabilization of the SDHS performance due to the HP integration where the solar field temperature never exceeds 80 °C, and the seasonal storage tank (SST) temperature stands at 85.4 °C. In addition, the share of solar energy stands above 86.1% with an efficiency of 73.9% for the SST, while the seasonal HP performance factor stands above 5.5 for all optimal scenarios. From the investor viewpoint, an energy price of 59.1 Euro/MWh can be achieved for the proposed system with a payback period of 26 years. Finally, from the policymaker perspective, along w
  • Otros:

    Autor según el artículo: Abokersh MH; Saikia K; Cabeza LF; Boer D; Vallès M
    Departamento: Enginyeria Mecànica
    Autor/es de la URV: Abokersh, Mohamed Hany Mohamed Basiuony / Boer, Dieter-Thomas / Vallès Rasquera, Joan Manel
    Código de proyecto: RTI2018-093849-B-C33 (MCIU/AEI/FEDER, UE)
    Palabras clave: Solar assist district heating system Multi-objective optimization Key performance indicators Heat pump Artificial neural network 4th generation district heating
    Resumen: © 2020 Elsevier Ltd The movement toward the 4th generation district heating (4GDH) embraces a great opportunity to support the future smart energy development concept. However, its development calls for addressing technological and economic obstacles aligning with the need for a reformation of the energy market to ensure the quality of service. In this context, our paper presents a comprehensive analysis based on a multi-objective optimization framework incorporating an artificial neural network-based model for the possibility of integrating heat pump (HP) into solar assisted district heating system (SDHS) with seasonal thermal energy storage to support the sustainable transition toward 4GDH. The study evaluates the performance of the proposed system with the help of key performance indicators (KPI) related to the 4GDH characteristics and key stakeholders for possible market growth with consideration for the environmental benefits. The proposed analysis is applied to a small neighbourhood of 10 residential buildings located in Madrid (Spain) to investigate the optimal integration of HP under different control strategies into a SDHS. Inherent the SDHS operator perspective, the results reveal a significant improvement in the stabilization of the SDHS performance due to the HP integration where the solar field temperature never exceeds 80 °C, and the seasonal storage tank (SST) temperature stands at 85.4 °C. In addition, the share of solar energy stands above 86.1% with an efficiency of 73.9% for the SST, while the seasonal HP performance factor stands above 5.5 for all optimal scenarios. From the investor viewpoint, an energy price of 59.1 Euro/MWh can be achieved for the proposed system with a payback period of 26 years. Finally, from the policymaker perspective, along with the significant economic and sustainable improvement in the SDHS performance, a substantial environmental improvement of 82.5% is achieved when compared to the conventional boiler heating system. The proposed analysis reflects a great motivation for different stakeholders to propose this system as a path toward the 4GDH in the future district energy systems.
    Áreas temáticas: Thermodynamics Renewable energy, sustainability and the environment Química Physics, nuclear Nuclear energy and engineering Mechanics Interdisciplinar Fuel technology Farmacia Engenharias iv Engenharias iii Engenharias ii Engenharias i Energy engineering and power technology Energy & fuels Ciências ambientais Ciências agrárias i Ciência de alimentos Biotecnología Arquitetura e urbanismo
    ISSN: 01968904
    Direcció de correo del autor: manel.valles@urv.cat dieter.boer@urv.cat
    Identificador del autor: 0000-0002-0748-1287 0000-0002-5532-6409
    Fecha de alta del registro: 2023-02-23
    Versión del articulo depositado: info:eu-repo/semantics/submittedVersion
    Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S019689042030916X
    Programa de financiación: Spanish Ministry of Economy and Competitiveness
    Referencia al articulo segun fuente origial: Energy Conversion And Management. 225 (113379):
    Referencia de l'ítem segons les normes APA: Abokersh MH; Saikia K; Cabeza LF; Boer D; Vallès M (2020). Flexible heat pump integration to improve sustainable transition toward 4th generation district heating. Energy Conversion And Management, 225(113379), -. DOI: 10.1016/j.enconman.2020.113379
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Acrónimo: MATCE
    DOI del artículo: 10.1016/j.enconman.2020.113379
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2020
    Acción del progama de financiación: Retos Investigación
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Energy & Fuels,Energy Engineering and Power Technology,Fuel Technology,Mechanics,Nuclear Energy and Engineering,Physics, Nuclear,Renewable Energy, Sustainability and the Environment,Thermodynamics
    Solar assist district heating system
    Multi-objective optimization
    Key performance indicators
    Heat pump
    Artificial neural network
    4th generation district heating
    Thermodynamics
    Renewable energy, sustainability and the environment
    Química
    Physics, nuclear
    Nuclear energy and engineering
    Mechanics
    Interdisciplinar
    Fuel technology
    Farmacia
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Energy engineering and power technology
    Energy & fuels
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
    Arquitetura e urbanismo
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