IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v329y2023ics0306261922015665.html
   My bibliography  Save this article

An approach to optimize building area ratios scheme of urban complex in different climatic conditions based on comprehensive energy performance evaluation

Author

Listed:
  • Zhuang, Ran
  • Jiang, Difei
  • Wang, Yuan

Abstract

In the context of the global energy shortage, urban complexes have attracted more and more attention from energy-saving research due to their large number and great energy-saving potential. While, the energy performance factors are rarely considered in the function scheme decision of urban complex in the recent pre-programming process. Optimizing the building area ratio scheme of urban complex is the key link to improve the comprehensive energy utilization efficiency. This paper proposes an approach to optimize building area ratio scheme of urban complex from energy performance perspective by energy simulation, scenario analysis and demand side management methods, and provides a data set of rankings of urban complex function combination schemes by evaluating the performance of energy load leveling and the degree of load stability of each building area ratio scheme in different climatic conditions, respectively. The results indicate that: 1) the different building area ratios notably affect the integrated operating energy performance of urban complexes with a maximum evaluation indexes difference of more than 85%; 2) the evaluating and optimizing results of the building area ratio schemes show broadly similarity in different climate conditions; 3) the optimal building area ratio scheme of urban complex is usually with less “shopping mall” (0 ∼ 10%), more “residence” (more than 35%), and floating ratio of “office” and “hotel” (0 ∼ 35%). The main findings of this study provide a quantitative basis for the architectural pre-programming and function scheme decision-making of urban complex by demand-side energy management to improve the energy efficiency, so as to guarantee the energy supply security.

Suggested Citation

  • Zhuang, Ran & Jiang, Difei & Wang, Yuan, 2023. "An approach to optimize building area ratios scheme of urban complex in different climatic conditions based on comprehensive energy performance evaluation," Applied Energy, Elsevier, vol. 329(C).
  • Handle: RePEc:eee:appene:v:329:y:2023:i:c:s0306261922015665
    DOI: 10.1016/j.apenergy.2022.120309
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922015665
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2022.120309?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. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2016. "Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality," Applied Energy, Elsevier, vol. 174(C), pages 37-68.
    2. Mehra, Varun & Amatya, Reja & Ram, Rajeev J., 2018. "Estimating the value of demand-side management in low-cost, solar micro-grids," Energy, Elsevier, vol. 163(C), pages 74-87.
    3. Saffari, Mohammad & de Gracia, Alvaro & Fernández, Cèsar & Cabeza, Luisa F., 2017. "Simulation-based optimization of PCM melting temperature to improve the energy performance in buildings," Applied Energy, Elsevier, vol. 202(C), pages 420-434.
    4. Long Liu & Zaoli Yang, 2022. "Urban Complex Public Space Design Method Based on Support Vector Machine," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-13, April.
    5. Luo, X.J. & Fong, K.F., 2019. "Development of integrated demand and supply side management strategy of multi-energy system for residential building application," Applied Energy, Elsevier, vol. 242(C), pages 570-587.
    6. Tronchin, Lamberto & Manfren, Massimiliano & Nastasi, Benedetto, 2018. "Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 341-353.
    7. Yuxin Zhu & Dazuo Tian & Feng Yan, 2020. "Effectiveness of Entropy Weight Method in Decision-Making," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-5, March.
    Full references (including those not matched with items on IDEAS)

    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. Zhong, Shengyuan & Zhao, Jun & Li, Wenjia & Li, Hao & Deng, Shuai & Li, Yang & Hussain, Sajjad & Wang, Xiaoyuan & Zhu, Jiebei, 2021. "Quantitative analysis of information interaction in building energy systems based on mutual information," Energy, Elsevier, vol. 214(C).
    2. Cascone, Ylenia & Capozzoli, Alfonso & Perino, Marco, 2018. "Optimisation analysis of PCM-enhanced opaque building envelope components for the energy retrofitting of office buildings in Mediterranean climates," Applied Energy, Elsevier, vol. 211(C), pages 929-953.
    3. Wadim Strielkowski & Anna Sherstobitova & Patrik Rovny & Tatiana Evteeva, 2021. "Increasing Energy Efficiency and Modernization of Energy Systems in Russia: A Review," Energies, MDPI, vol. 14(11), pages 1-19, May.
    4. Farah, Sleiman & Liu, Ming & Saman, Wasim, 2019. "Numerical investigation of phase change material thermal storage for space cooling," Applied Energy, Elsevier, vol. 239(C), pages 526-535.
    5. Saurbayeva, Assemgul & Memon, Shazim Ali & Kim, Jong, 2023. "Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones," Energy, Elsevier, vol. 278(PB).
    6. Carmen de la Cruz-Lovera & Francisco Manzano-Agugliaro & Esther Salmerón-Manzano & José-Luis de la Cruz-Fernández & Alberto-Jesus Perea-Moreno, 2019. "Date Seeds ( Phoenix dactylifera L. ) Valorization for Boilers in the Mediterranean Climate," Sustainability, MDPI, vol. 11(3), pages 1-14, January.
    7. Bimaganbetova, Madina & Memon, Shazim Ali & Sheriyev, Almas, 2020. "Performance evaluation of phase change materials suitable for cities representing the whole tropical savanna climate region," Renewable Energy, Elsevier, vol. 148(C), pages 402-416.
    8. Mingshan Mo & Xinrui Xiong & Yunlong Wu & Zuyao Yu, 2023. "Deep-Reinforcement-Learning-Based Low-Carbon Economic Dispatch for Community-Integrated Energy System under Multiple Uncertainties," Energies, MDPI, vol. 16(22), pages 1-18, November.
    9. Wang, Guohui & Yang, Yanan & Wang, Shuxin & Zhang, Hongwei & Wang, Yanhui, 2019. "Efficiency analysis and experimental validation of the ocean thermal energy conversion with phase change material for underwater vehicle," Applied Energy, Elsevier, vol. 248(C), pages 475-488.
    10. Mahdi, Jasim M. & Mohammed, Hayder I. & Hashim, Emad T. & Talebizadehsardari, Pouyan & Nsofor, Emmanuel C., 2020. "Solidification enhancement with multiple PCMs, cascaded metal foam and nanoparticles in the shell-and-tube energy storage system," Applied Energy, Elsevier, vol. 257(C).
    11. Olga Bogdanova & Karīna Viskuba & Laila Zemīte, 2023. "A Review of Barriers and Enables in Demand Response Performance Chain," Energies, MDPI, vol. 16(18), pages 1-33, September.
    12. Luo, X.J. & Oyedele, Lukumon O. & Ajayi, Anuoluwapo O. & Akinade, Olugbenga O. & Owolabi, Hakeem A. & Ahmed, Ashraf, 2020. "Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    13. Souayfane, Farah & Biwole, Pascal Henry & Fardoun, Farouk & Achard, Patrick, 2019. "Energy performance and economic analysis of a TIM-PCM wall under different climates," Energy, Elsevier, vol. 169(C), pages 1274-1291.
    14. Cheng, Xiwen & Zhai, Xiaoqiang, 2018. "Thermal performance analysis and optimization of a cascaded packed bed cool thermal energy storage unit using multiple phase change materials," Applied Energy, Elsevier, vol. 215(C), pages 566-576.
    15. Randeep Singh & Sadegh Sadeghi & Bahman Shabani, 2018. "Thermal Conductivity Enhancement of Phase Change Materials for Low-Temperature Thermal Energy Storage Applications," Energies, MDPI, vol. 12(1), pages 1-20, December.
    16. Facundo Bre & Antonio Caggiano & Eduardus A. B. Koenders, 2022. "Multiobjective Optimization of Cement-Based Panels Enhanced with Microencapsulated Phase Change Materials for Building Energy Applications," Energies, MDPI, vol. 15(14), pages 1-17, July.
    17. Muideen Adegoke & Alaka Hafiz & Saheed Ajayi & Razak Olu-Ajayi, 2022. "Application of Multilayer Extreme Learning Machine for Efficient Building Energy Prediction," Energies, MDPI, vol. 15(24), pages 1-21, December.
    18. Li, Weilin & Jing, Mingyi & Li, Rufei & Gao, Junxi & Zhu, Jiayin & Li, Ruixin, 2023. "Study of the optimal placement of phase change materials in existing buildings for cooling load reduction - Take the Central Plain of China as an example," Renewable Energy, Elsevier, vol. 209(C), pages 71-84.
    19. Lee, Haksung & Ozaki, Akihito, 2018. "Sensitivity analysis for optimization of renewable-energy-based air-circulation-type temperature-control system," Applied Energy, Elsevier, vol. 230(C), pages 317-329.
    20. Maria Psillaki & Nikolaos Apostolopoulos & Ilias Makris & Panagiotis Liargovas & Sotiris Apostolopoulos & Panos Dimitrakopoulos & George Sklias, 2023. "Hospitals’ Energy Efficiency in the Perspective of Saving Resources and Providing Quality Services through Technological Options: A Systematic Literature Review," Energies, MDPI, vol. 16(2), pages 1-21, January.

    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:appene:v:329:y:2023:i:c:s0306261922015665. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.