IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v238y2022ipbs0360544221019915.html
   My bibliography  Save this article

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

Author

Listed:
  • 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%.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221019915
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.121743?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Niemi, R. & Mikkola, J. & Lund, P.D., 2012. "Urban energy systems with smart multi-carrier energy networks and renewable energy generation," Renewable Energy, Elsevier, vol. 48(C), pages 524-536.
    2. Sarhaddi, F. & Farahat, S. & Ajam, H. & Behzadmehr, A. & Mahdavi Adeli, M., 2010. "An improved thermal and electrical model for a solar photovoltaic thermal (PV/T) air collector," Applied Energy, Elsevier, vol. 87(7), pages 2328-2339, July.
    3. Dini, Anoosh & Pirouzi, Sasan & Norouzi, Mohammadali & Lehtonen, Matti, 2019. "Grid-connected energy hubs in the coordinated multi-energy management based on day-ahead market framework," Energy, Elsevier, vol. 188(C).
    4. Zhang, Guoqing & Wang, Jiangjiang & Ren, Fukang & Liu, Yi & Dong, Fuxiang, 2021. "Collaborative optimization for multiple energy stations in distributed energy network based on electricity and heat interchanges," Energy, Elsevier, vol. 222(C).
    5. Rakipour, Davood & Barati, Hassan, 2019. "Probabilistic optimization in operation of energy hub with participation of renewable energy resources and demand response," Energy, Elsevier, vol. 173(C), pages 384-399.
    6. Mokhtari, Hamid & Hadiannasab, Hasti & Mostafavi, Mostafa & Ahmadibeni, Ali & Shahriari, Behrooz, 2016. "Determination of optimum geothermal Rankine cycle parameters utilizing coaxial heat exchanger," Energy, Elsevier, vol. 102(C), pages 260-275.
    7. Heymans, Catherine & Walker, Sean B. & Young, Steven B. & Fowler, Michael, 2014. "Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling," Energy Policy, Elsevier, vol. 71(C), pages 22-30.
    8. Mostafavi Sani, Mostafa & Noorpoor, Alireza & Shafie-Pour Motlagh, Majid, 2019. "Optimal model development of energy hub to supply water, heating and electrical demands of a cement factory," Energy, Elsevier, vol. 177(C), pages 574-592.
    9. Davatgaran, Vahid & Saniei, Mohsen & Mortazavi, Seyed Saeidollah, 2018. "Optimal bidding strategy for an energy hub in energy market," Energy, Elsevier, vol. 148(C), pages 482-493.
    10. Roustaei, M. & Niknam, T. & Salari, S. & Chabok, H. & Sheikh, M. & Kavousi-Fard, A. & Aghaei, J., 2020. "A scenario-based approach for the design of Smart Energy and Water Hub," Energy, Elsevier, vol. 195(C).
    11. Moghaddam, Iman Gerami & Saniei, Mohsen & Mashhour, Elaheh, 2016. "A comprehensive model for self-scheduling an energy hub to supply cooling, heating and electrical demands of a building," Energy, Elsevier, vol. 94(C), pages 157-170.
    12. Joshi, Anand S. & Dincer, Ibrahim & Reddy, Bale V., 2009. "Performance analysis of photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1884-1897, October.
    13. Davatgaran, Vahid & Saniei, Mohsen & Mortazavi, Seyed Saeidollah, 2019. "Smart distribution system management considering electrical and thermal demand response of energy hubs," Energy, Elsevier, vol. 169(C), pages 38-49.
    14. Ameri, Mohammad & Mokhtari, Hamid & Mostafavi Sani, Mostafa, 2018. "4E analyses and multi-objective optimization of different fuels application for a large combined cycle power plant," Energy, Elsevier, vol. 156(C), pages 371-386.
    15. Mohammadi, Mohammad & Noorollahi, Younes & Mohammadi-ivatloo, Behnam & Hosseinzadeh, Mehdi & Yousefi, Hossein & Khorasani, Sasan Torabzadeh, 2018. "Optimal management of energy hubs and smart energy hubs – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 33-50.
    16. Hu, Xiao & Zhang, Heng & Chen, Dongwen & Li, Yong & Wang, Li & Zhang, Feng & Cheng, Haozhong, 2020. "Multi-objective planning for integrated energy systems considering both exergy efficiency and economy," Energy, Elsevier, vol. 197(C).
    17. Shabanpour-Haghighi, Amin & Seifi, Ali Reza, 2016. "Effects of district heating networks on optimal energy flow of multi-carrier systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 379-387.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Minghao & Sun, Yi & Xie, Zhiyuan & Lin, Nvgui & Wu, Peng, 2023. "An efficient and privacy-preserving algorithm for multiple energy hubs scheduling with federated and matching deep reinforcement learning," Energy, Elsevier, vol. 284(C).
    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).
    3. Mu, Yunfei & Xu, Yurui & Cao, Yan & Chen, Wanqing & Jia, Hongjie & Yu, Xiaodan & Jin, Xiaolong, 2022. "A two-stage scheduling method for integrated community energy system based on a hybrid mechanism and data-driven model," Applied Energy, Elsevier, vol. 323(C).
    4. Xu, Jing & Wang, Xiaoying & Gu, Yujiong & Ma, Suxia, 2023. "A data-based day-ahead scheduling optimization approach for regional integrated energy systems with varying operating conditions," Energy, Elsevier, vol. 283(C).
    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).
    11. Kheir Abadi, Majid & Davoodi, Vajihe & Deymi-Dashtebayaz, Mahdi & Ebrahimi-Moghadam, Amir, 2023. "Determining the best scenario for providing electrical, cooling, and hot water consuming of a building with utilizing a novel wind/solar-based hybrid system," Energy, Elsevier, vol. 273(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lasemi, Mohammad Ali & Arabkoohsar, Ahmad & Hajizadeh, Amin & Mohammadi-ivatloo, Behnam, 2022. "A comprehensive review on optimization challenges of smart energy hubs under uncertainty factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    2. Heidari, A. & Mortazavi, S.S. & Bansal, R.C., 2020. "Stochastic effects of ice storage on improvement of an energy hub optimal operation including demand response and renewable energies," Applied Energy, Elsevier, vol. 261(C).
    3. Chen, Honglin & Liu, Mingbo & Liu, Yingqi & Lin, Shunjiang & Yang, Zhibin, 2020. "Partial surrogate cuts method for network-constrained optimal scheduling of multi-carrier energy systems with demand response," Energy, Elsevier, vol. 196(C).
    4. Morteza Vahid-Ghavidel & Mohammad Sadegh Javadi & Matthew Gough & Sérgio F. Santos & Miadreza Shafie-khah & João P.S. Catalão, 2020. "Demand Response Programs in Multi-Energy Systems: A Review," Energies, MDPI, vol. 13(17), pages 1-17, August.
    5. Zhang, Xingxing & Lovati, Marco & Vigna, Ilaria & Widén, Joakim & Han, Mengjie & Gal, Csilla & Feng, Tao, 2018. "A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions," Applied Energy, Elsevier, vol. 230(C), pages 1034-1056.
    6. Mostafavi Sani, Mostafa & Noorpoor, Alireza & Shafie-Pour Motlagh, Majid, 2019. "Optimal model development of energy hub to supply water, heating and electrical demands of a cement factory," Energy, Elsevier, vol. 177(C), pages 574-592.
    7. Kiani-Moghaddam, Mohammad & Soltani, Mohsen N. & Kalogirou, Soteris A. & Mahian, Omid & Arabkoohsar, Ahmad, 2023. "A review of neighborhood level multi-carrier energy hubs—uncertainty and problem-solving process," Energy, Elsevier, vol. 281(C).
    8. Bostan, Alireza & Nazar, Mehrdad Setayesh & Shafie-khah, Miadreza & Catalão, João P.S., 2020. "Optimal scheduling of distribution systems considering multiple downward energy hubs and demand response programs," Energy, Elsevier, vol. 190(C).
    9. Halmschlager, Verena & Hofmann, René, 2021. "Assessing the potential of combined production and energy management in Industrial Energy Hubs – Analysis of a chipboard production plant," Energy, Elsevier, vol. 226(C).
    10. Li, Jiaxi & Wang, Dan & Jia, Hongjie & Lei, Yang & Zhou, Tianshuo & Guo, Ying, 2022. "Mechanism analysis and unified calculation model of exergy flow distribution in regional integrated energy system," Applied Energy, Elsevier, vol. 324(C).
    11. Ma, Ning & Fan, Lurong, 2023. "Double recovery strategy of carbon for coal-to-power based on a multi-energy system with tradable green certificates," Energy, Elsevier, vol. 273(C).
    12. Hou, Yanqiu & Bao, Minglei & Sang, Maosheng & Ding, Yi, 2024. "A market framework to exploit the multi-energy operating reserve of smart energy hubs in the integrated electricity-gas systems," Applied Energy, Elsevier, vol. 357(C).
    13. Nikmehr, Nima, 2020. "Distributed robust operational optimization of networked microgrids embedded interconnected energy hubs," Energy, Elsevier, vol. 199(C).
    14. Wang, Sheng & Shao, Changzheng & Ding, Yi & Yan, Jinyue, 2019. "Operational reliability of multi-energy customers considering service-based self-scheduling," Applied Energy, Elsevier, vol. 254(C).
    15. Vats, Kanchan & Tiwari, G.N., 2012. "Energy and exergy analysis of a building integrated semitransparent photovoltaic thermal (BISPVT) system," Applied Energy, Elsevier, vol. 96(C), pages 409-416.
    16. Ma, Tengfei & Pei, Wei & Xiao, Hao & Kong, Li & Mu, Yunfei & Pu, Tianjiao, 2020. "The energy management strategies based on dynamic energy pricing for community integrated energy system considering the interactions between suppliers and users," Energy, Elsevier, vol. 211(C).
    17. Lyu, Jiawei & Zhang, Shenxi & Cheng, Haozhong & Yuan, Kai & Song, Yi, 2022. "A graph theory-based optimal configuration method of energy hub considering the integration of electric vehicles," Energy, Elsevier, vol. 243(C).
    18. Chen, Zexing & Zhang, Yongjun & Tang, Wenhu & Lin, Xiaoming & Li, Qifeng, 2019. "Generic modelling and optimal day-ahead dispatch of micro-energy system considering the price-based integrated demand response," Energy, Elsevier, vol. 176(C), pages 171-183.
    19. Paiho, Satu & Kiljander, Jussi & Sarala, Roope & Siikavirta, Hanne & Kilkki, Olli & Bajpai, Arpit & Duchon, Markus & Pahl, Marc-Oliver & Wüstrich, Lars & Lübben, Christian & Kirdan, Erkin & Schindler,, 2021. "Towards cross-commodity energy-sharing communities – A review of the market, regulatory, and technical situation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:238:y:2022:i:pb:s0360544221019915. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.