IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v273y2023ics0360544223006333.html
   My bibliography  Save this article

Determining the best scenario for providing electrical, cooling, and hot water consuming of a building with utilizing a novel wind/solar-based hybrid system

Author

Listed:
  • Kheir Abadi, Majid
  • Davoodi, Vajihe
  • Deymi-Dashtebayaz, Mahdi
  • Ebrahimi-Moghadam, Amir

Abstract

Due to the increase in electrical and cooling demands, the use of renewable resources for supplying these demands are subjected to more attention in recent years. This is while in the hot months of the year, due to the weather conditions, the need for electricity and cooling is increased. In this paper, a hybrid solar/wind system is proposed to satisfy the electrical and cooling demands, and hot water consuming of a building. Cooling demand is covered by combining absorption and compression chillers; so that, the primary energy of the compression chiller is supplied by a wind turbine and photovoltaic (PV) panels and the required thermal energy of the absorption chiller is supplied through evacuated tube collectors (ETCs). Considering the space limitation for installing solar systems, the main issue of this paper is focused on allocating the best space share for each of the PV panels and ETCs (in a case study building, 100 m2 of area is considered as a free space for solar systems). Three cases are assumed for the share of installation space as: 75% of area for ETC and 25% for PV (case 1), half share for both (case 2), 25% of area for ETC and 75% for PV (case 3). All of the defined cases are investigated by developing a comprehensive computational code based on energy, exergy, and economic analyses. The results show that although the first case with energy and exergy efficiencies of 50.60% and 18.5% has the best performance, the third case, with the highest net present value (NPV) has a payback period of nearly 7 years, is the eco-feasible case. Finally, by applying 7 different weights for the defined objective functions (energy efficiency, exergy efficiency, and NPV), a multi-objective optimization is applied to select the best system operation depending on the design requirements. Considering equal weight coefficients, the optimization results reports the case 3 as the optimum configuration.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:273:y:2023:i:c:s0360544223006333
    DOI: 10.1016/j.energy.2023.127239
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223006333
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.127239?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. 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).
    2. Kalogirou, Soteris, 2003. "The potential of solar industrial process heat applications," Applied Energy, Elsevier, vol. 76(4), pages 337-361, December.
    3. 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).
    4. Davoodi, Vajihe & Kazemiani-Najafabadi, Parisa & Amiri Rad, Ehsan, 2022. "Presenting a power and cascade cooling cycle driven using solar energy and natural gas," Renewable Energy, Elsevier, vol. 186(C), pages 802-813.
    5. Nikitin, Andrey & Farahnak, Mehdi & Deymi-Dashtebayaz, Mahdi & Muraveinikov, Sergei & Nikitina, Veronika & Nazeri, Reza, 2022. "Effect of ice thickness and snow cover depth on performance optimization of ground source heat pump based on the energy, exergy, economic and environmental analysis," Renewable Energy, Elsevier, vol. 185(C), pages 1301-1317.
    6. Yu, F.W. & Chan, K.T., 2005. "Experimental determination of the energy efficiency of an air-cooled chiller under part load conditions," Energy, Elsevier, vol. 30(10), pages 1747-1758.
    7. Zakernezhad, Hamid & Nazar, Mehrdad Setayesh & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Optimal resilient operation of multi-carrier energy systems in electricity markets considering distributed energy resource aggregators," Applied Energy, Elsevier, vol. 299(C).
    8. Deymi-Dashtebayaz, Mahdi & Norani, Marziye, 2021. "Sustainability assessment and emergy analysis of employing the CCHP system under two different scenarios in a data center," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    9. Yong Wang & Xuan Wen & Bing Gu & Fengkai Gao, 2022. "Power Scheduling Optimization Method of Wind-Hydrogen Integrated Energy System Based on the Improved AUKF Algorithm," Mathematics, MDPI, vol. 10(22), pages 1-16, November.
    10. Huang, Zhiwen & Li, Tong & Huang, Kexin & Ke, Hanbing & Lin, Mei & Wang, Qiuwang, 2022. "Predictions of flow and temperature fields in a T-junction based on dynamic mode decomposition and deep learning," Energy, Elsevier, vol. 261(PA).
    11. Ebrahimi-Moghadam, Amir & Farzaneh-Gord, Mahmood, 2022. "Optimal operation of a multi-generation district energy hub based on electrical, heating, and cooling demands and hydrogen production," Applied Energy, Elsevier, vol. 309(C).
    12. Petela, Karolina & Manfrida, Giampaolo & Szlek, Andrzej, 2017. "Advantages of variable driving temperature in solar absorption chiller," Renewable Energy, Elsevier, vol. 114(PB), pages 716-724.
    13. Tayyeban, Edris & Deymi-Dashtebayaz, Mahdi & Gholizadeh, Mohammad, 2021. "Investigation of a new heat recovery system for simultaneously producing power, cooling and distillate water," Energy, Elsevier, vol. 229(C).
    14. Ahadi, Amir & Kang, Sang-Kyun & Lee, Jang-Ho, 2016. "A novel approach for optimal combinations of wind, PV, and energy storage system in diesel-free isolated communities," Applied Energy, Elsevier, vol. 170(C), pages 101-115.
    15. Amiri Rad, Ehsan & Davoodi, Vajihe, 2021. "Thermo-economic evaluation of a hybrid solar-gas driven and air-cooled absorption chiller integrated with hot water production by a transient modeling," Renewable Energy, Elsevier, vol. 163(C), pages 1253-1264.
    16. Hekmatshoar, Maziyar & Deymi-Dashtebayaz, Mahdi & Gholizadeh, Mohammad & Dadpour, Daryoush & Delpisheh, Mostafa, 2022. "Thermoeconomic analysis and optimization of a geothermal-driven multi-generation system producing power, freshwater, and hydrogen," Energy, Elsevier, vol. 247(C).
    17. Hu, Tianxiang & Kwan, Trevor Hocksun & Pei, Gang, 2022. "An all-day cooling system that combines solar absorption chiller and radiative cooling," Renewable Energy, Elsevier, vol. 186(C), pages 831-844.
    18. Deymi-Dashtebayaz, Mahdi & Ebrahimi-Moghadam, Amir & Pishbin, Seyyed Iman & Pourramezan, Mahdi, 2019. "Investigating the effect of hydrogen injection on natural gas thermo-physical properties with various compositions," Energy, Elsevier, vol. 167(C), pages 235-245.
    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. Deymi-Dashtebayaz, Mahdi & Kheir Abadi, Majid & Asadi, Mostafa & Khutornaya, Julia & Sergienko, Olga, 2024. "Investigation of a new solar-wind energy-based heat pump dryer for food waste drying based on different weather conditions," Energy, Elsevier, vol. 290(C).
    2. Mohana Alanazi & Hani Attar & Ayman Amer & Ayesha Amjad & Mahmoud Mohamed & Mohammed Sh. Majid & Khalid Yahya & Mohamed Salem, 2023. "A Comprehensive Study on the Performance of Various Tracker Systems in Hybrid Renewable Energy Systems, Saudi Arabia," Sustainability, MDPI, vol. 15(13), pages 1-28, July.
    3. Assareh, Ehsanolah & Kazemiani-Najafabadi, Parisa & Rad, Ehsan Amiri & Arabkoohsar, Ahmad, 2023. "Optimization of a trigeneration cooling, heating, and power system with low-temperature waste heat from 4E points of view," Energy, Elsevier, vol. 283(C).
    4. Ding, Xingqi & Zhou, Yufei & Duan, Liqiang & Li, Da & Zheng, Nan, 2023. "Comprehensive performance investigation of a novel solar-assisted liquid air energy storage system with different operating modes in different seasons," Energy, Elsevier, vol. 284(C).
    5. Shubham, Shubham & Naik, Kevin & Sachar, Shivangi & Ianakiev, Anton, 2023. "Performance analysis of low Reynolds number vertical axis wind turbines using low-fidelity and mid-fidelity methods and wind conditions in the city of Nottingham," Energy, Elsevier, vol. 279(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. Deymi-Dashtebayaz, Mahdi & Davoodi, Vajihe & Khutornaya, Julia & Sergienko, Olga, 2023. "Parametric analysis and multi-objective optimization of a heat pump dryer based on working conditions and using different refrigerants," Energy, Elsevier, vol. 284(C).
    2. Deymi-Dashtebayaz, Mahdi & Kheir Abadi, Majid & Asadi, Mostafa & Khutornaya, Julia & Sergienko, Olga, 2024. "Investigation of a new solar-wind energy-based heat pump dryer for food waste drying based on different weather conditions," Energy, Elsevier, vol. 290(C).
    3. Ghorbani, Sobhan & Deymi-Dashtebayaz, Mahdi & Dadpour, Daryoush & Delpisheh, Mostafa, 2023. "Parametric study and optimization of a novel geothermal-driven combined cooling, heating, and power (CCHP) system," Energy, Elsevier, vol. 263(PF).
    4. Alipour, Mehran & Deymi-Dashtebayaz, Mahdi & Asadi, Mostafa, 2023. "Investigation of energy, exergy, and economy of co-generation system of solar electricity and cooling using linear parabolic collector for a data center," Energy, Elsevier, vol. 279(C).
    5. Deymi-Dashtebayaz, Mahdi & Rezapour, Mojtaba & Sheikhani, Hamideh & Afshoun, Hamid Reza & Barzanooni, Vahid, 2023. "Numerical and experimental analyses of a novel natural gas cooking burner with the aim of improving energy efficiency and reducing environmental pollution," Energy, Elsevier, vol. 263(PE).
    6. 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).
    7. Ghavami, Morteza & Gholizadeh, Mohammad & Deymi-Dashtebayaz, Mahdi, 2023. "Parametric study and optimization analysis of a multi-generation system using waste heat in natural gas refinery- an energy and exergoeconomic analysis," Energy, Elsevier, vol. 272(C).
    8. Hekmatshoar, Maziyar & Deymi-Dashtebayaz, Mahdi & Gholizadeh, Mohammad & Dadpour, Daryoush & Delpisheh, Mostafa, 2022. "Thermoeconomic analysis and optimization of a geothermal-driven multi-generation system producing power, freshwater, and hydrogen," Energy, Elsevier, vol. 247(C).
    9. Su, Zixiang & Yang, Liu, 2022. "Peak shaving strategy for renewable hybrid system driven by solar and radiative cooling integrating carbon capture and sewage treatment," Renewable Energy, Elsevier, vol. 197(C), pages 1115-1132.
    10. Kolb, Sebastian & Plankenbühler, Thomas & Frank, Jonas & Dettelbacher, Johannes & Ludwig, Ralf & Karl, Jürgen & Dillig, Marius, 2021. "Scenarios for the integration of renewable gases into the German natural gas market – A simulation-based optimisation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    11. Ehab AlShamaileh & Iessa Sabbe Moosa & Heba Al-Fayyad & Bashar Lahlouh & Hussein A. Kazem & Qusay Abu-Afifeh & Bety S. Al-Saqarat & Muayad Esaifan & Imad Hamadneh, 2022. "Performance Comparison and Light Reflectance of Al, Cu, and Fe Metals in Direct Contact Flat Solar Heating Systems," Energies, MDPI, vol. 15(23), pages 1-15, November.
    12. jia, Teng & Huang, Junpeng & Li, Rui & He, Peng & Dai, Yanjun, 2018. "Status and prospect of solar heat for industrial processes in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 475-489.
    13. Ebrahimi-Moghadam, Amir & Farzaneh-Gord, Mahmood, 2022. "Optimal operation of a multi-generation district energy hub based on electrical, heating, and cooling demands and hydrogen production," Applied Energy, Elsevier, vol. 309(C).
    14. Mekhilef, S. & Saidur, R. & Safari, A., 2011. "A review on solar energy use in industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1777-1790, May.
    15. Sajad Koochakinia & Amir Ebrahimi-Moghadam & Mahdi Deymi-Dashtebayaz, 2022. "Techno-Environmental Analyses and Optimization of a Utility Boiler Based on Real Data," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    16. Jayathunga, D.S. & Karunathilake, H.P. & Narayana, M. & Witharana, S., 2024. "Phase change material (PCM) candidates for latent heat thermal energy storage (LHTES) in concentrated solar power (CSP) based thermal applications - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    17. Yan, Tian & Zhou, Xuan & Xu, Xinhua & Yu, Jinghua & Li, Xianting, 2022. "Parametric analysis on performances of the pipe-encapsulated PCM (PenPCM) wall system coupled with gravity heat-pipe and nocturnal radiant cooler," Renewable Energy, Elsevier, vol. 196(C), pages 161-180.
    18. Armioun, Majid & Nazar, Mehrdad Setayesh & Shafie-khah, Miadreza & Siano, Pierluigi, 2023. "Optimal scheduling of CCHP-based resilient energy distribution system considering active microgrids' multi-carrier energy transactions," Applied Energy, Elsevier, vol. 350(C).
    19. Ajbar, Wassila & Parrales, A. & Huicochea, A. & Hernández, J.A., 2022. "Different ways to improve parabolic trough solar collectors’ performance over the last four decades and their applications: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    20. Mirzaei, Mohammad Reza & Kasaeian, Alibakhsh & Sadeghi Motlagh, Maryam & Fereidoni, Sahar, 2024. "Thermo-economic analysis of an integrated combined heating, cooling, and power unit with dish collector and organic Rankine cycle," Energy, Elsevier, vol. 296(C).

    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:273:y:2023:i:c:s0360544223006333. 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.