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Optimal energy hub development to supply heating, cooling, electricity and freshwater for a coastal urban area taking into account economic and environmental factors

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  • Mostafavi Sani, Mostafa
  • Mostafavi Sani, Hossein
  • Fowler, Michael
  • Elkamel, Ali
  • Noorpoor, Alireza
  • Ghasemi, Amir

Abstract

In this paper, the design and performance of an energy hub to supply the demands of heating, cooling, electricity and freshwater for a coastal urban is considered. The modeling framework considers exergy and economic factors as well as greenhouse gas emissions. To optimally meet the demands of the energy hub, the consumed energy flows and their exchanges with the outside of the hub are determined. The optimization problem will be solved according to the environmental conditions, demands and design parameters of energy hub equipment. A comprehensive thermodynamic analysis of the energy hub is considered in order to take into account the economic and emissions outlook, along with renewable energy sources. In this study, two levels of integrated system modeling are simulated as “design” and “environmental-design” to optimize the energy hub with high accuracy. The results showed that the microturbine capacity decreased during the hours of sun exposure and power generation by the solar panels. As the heat generated by the Photovoltaic/Thermal (PV/T) system increases, the contribution of the adsorption chiller in cooling demand has increased. After performing optimization, the total annual costs in the urban area decreased by 30%, exergy efficiency increased by 28%, and carbon dioxide emissions decreased by 16%.

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  • Mostafavi Sani, Mostafa & Mostafavi Sani, Hossein & Fowler, Michael & Elkamel, Ali & Noorpoor, Alireza & Ghasemi, Amir, 2022. "Optimal energy hub development to supply heating, cooling, electricity and freshwater for a coastal urban area taking into account economic and environmental factors," Energy, Elsevier, vol. 238(PB).
    • Handle: RePEc:eee:energy:v:238:y:2022:i:pb:s0360544221019915
    DOI: 10.1016/j.energy.2021.121743
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    2. Fan, Linyuan & Ji, Dandan & Lin, Geng & Lin, Peng & Liu, Lixi, 2023. "Information gap-based multi-objective optimization of a virtual energy hub plant considering a developed demand response model," Energy, Elsevier, vol. 276(C).
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    5. Rafael Poppenborg & Malte Chlosta & Johannes Ruf & Christian Hotz & Clemens Düpmeier & Thomas Kolb & Veit Hagenmeyer, 2023. "Energy Hub Gas: A Modular Setup for the Evaluation of Local Flexibility and Renewable Energy Carriers Provision," Energies, MDPI, vol. 16(6), pages 1-16, March.
    6. Xu, Da & Yuan, Zhe-Li & Bai, Ziyi & Wu, Zhibin & Chen, Shuangyin & Zhou, Ming, 2022. "Optimal operation of geothermal-solar-wind renewables for community multi-energy supplies," Energy, Elsevier, vol. 249(C).
    7. Hua, Zhihao & Li, Jiayong & Zhou, Bin & Or, Siu Wing & Chan, Ka Wing & Meng, Yunfan, 2022. "Game-theoretic multi-energy trading framework for strategic biogas-solar renewable energy provider with heterogeneous consumers," Energy, Elsevier, vol. 260(C).
    8. Magda I. El-Afifi & Magdi M. Saadawi & Abdelfattah A. Eladl, 2022. "Cogeneration Systems Performance Analysis as a Sustainable Clean Energy and Water Source Based on Energy Hubs Using the Archimedes Optimization Algorithm," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
    9. Rahmad Syah & Afshin Davarpanah & Mahyuddin K. M. Nasution & Faisal Amri Tanjung & Meysam Majidi Nezhad & Mehdi Nesaht, 2021. "A Comprehensive Thermoeconomic Evaluation and Multi-Criteria Optimization of a Combined MCFC/TEG System," Sustainability, MDPI, vol. 13(23), pages 1-29, November.
    10. Azimian, Mahdi & Amir, Vahid & Mohseni, Soheil & Brent, Alan C. & Bazmohammadi, Najmeh & Guerrero, Josep M., 2022. "Optimal Investment Planning of Bankable Multi-Carrier Microgrid Networks," Applied Energy, Elsevier, vol. 328(C).
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