IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i9p3540-d350731.html
   My bibliography  Save this article

Optimization of Design Parameters for Office Buildings with Climatic Adaptability Based on Energy Demand and Thermal Comfort

Author

Listed:
  • Yuang Guo

    (Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu 808-0135, Japan)

  • Dewancker Bart

    (Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu 808-0135, Japan)

Abstract

According to a Chinese building energy demand report of 2016, building consumption is accelerating at a spectacular rate, especially for urban public buildings. In this study, various design parameters that meet the principle of climate adaptation are proposed to achieve the unity of energy utilization and indoor thermal comfort level. According to the local energy conservation codes, five typical benchmark geometric models were established in Open Studio (Sketch-Up plug-in) for sites representative of various climates, meanwhile, adopting the engine of Energy Plus (EP-Launch) to calculate the instrument definition file (IDF), respectively, for assessing the coupling relationship between energy consumption as well as thermal comfort. Results implied that based on the time proportion (8760 h) that met the level 1 comfort range, total energy reductions of different Chinese climate regions were different. Among them, the severe cold zone (SCZ—Changchun) and hot summer and cold winter zone (HSCW—Shanghai) appeared to have the greatest energy saving potential with 18–24% and 16–19%, respectively, while the cold zone (CZ—Beijing) and mild zone (MZ—Kunming) approximately equaled 15% and 12–15%, and the saving space of the hot summer and warm winter zone (HSWW—Haikou) appeared relatively low, only around 5–7%. Although the simulation results may be limited by the number of parameter settings, the main ones are under consideration seriously, which is further indication that there is still much room for appropriate improvements in the local public building energy efficiency codes.

Suggested Citation

  • Yuang Guo & Dewancker Bart, 2020. "Optimization of Design Parameters for Office Buildings with Climatic Adaptability Based on Energy Demand and Thermal Comfort," Sustainability, MDPI, vol. 12(9), pages 1-23, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3540-:d:350731
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/9/3540/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/9/3540/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bai, Lujian & Wang, Shusheng, 2019. "Definition of new thermal climate zones for building energy efficiency response to the climate change during the past decades in China," Energy, Elsevier, vol. 170(C), pages 709-719.
    2. Wu, Zhibin & Li, Nianping & Wargocki, Pawel & Peng, Jingqing & Li, Jingming & Cui, Haijiao, 2019. "Field study on thermal comfort and energy saving potential in 11 split air-conditioned office buildings in Changsha, China," Energy, Elsevier, vol. 182(C), pages 471-482.
    3. Xue, Peng & Li, Qian & Xie, Jingchao & Zhao, Mengjing & Liu, Jiaping, 2019. "Optimization of window-to-wall ratio with sunshades in China low latitude region considering daylighting and energy saving requirements," Applied Energy, Elsevier, vol. 233, pages 62-70.
    4. Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "A three-stage optimization methodology for envelope design of passive house considering energy demand, thermal comfort and cost," Energy, Elsevier, vol. 192(C).
    5. Tiantian Du & Sabine Jansen & Michela Turrin & Andy van den Dobbelsteen, 2020. "Effects of Architectural Space Layouts on Energy Performance: A Review," Sustainability, MDPI, vol. 12(5), pages 1-23, February.
    6. Saikia, Pranaynil & Pancholi, Marmik & Sood, Divyanshu & Rakshit, Dibakar, 2020. "Dynamic optimization of multi-retrofit building envelope for enhanced energy performance with a case study in hot Indian climate," Energy, Elsevier, vol. 197(C).
    7. Anxiao Zhang & Regina Bokel & Andy Van den Dobbelsteen & Yanchen Sun & Qiong Huang & Qi Zhang, 2017. "The Effect of Geometry Parameters on Energy and Thermal Performance of School Buildings in Cold Climates of China," Sustainability, MDPI, vol. 9(10), pages 1-19, September.
    8. Hwang, Ruey-Lung & Shih, Wen-Mei & Huang, Kuo-Tsang, 2020. "Performance-rating-based approach to formulate a new envelope index for commercial buildings in perspective of energy efficiency and thermal comfort," Applied Energy, Elsevier, vol. 264(C).
    9. Maria-Mar Fernandez-Antolin & José Manuel del Río & Vincenzo Costanzo & Francesco Nocera & Roberto-Alonso Gonzalez-Lezcano, 2019. "Passive Design Strategies for Residential Buildings in Different Spanish Climate Zones," Sustainability, MDPI, vol. 11(18), pages 1-22, September.
    10. Li, Hangxin & Wang, Shengwei & Cheung, Howard, 2018. "Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions," Applied Energy, Elsevier, vol. 228(C), pages 1280-1291.
    11. Butera, Federico M., 1998. "Chapter 3--Principles of thermal comfort," Renewable and Sustainable Energy Reviews, Elsevier, vol. 2(1-2), pages 39-66, June.
    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. Qiurui Liu & Juntian Huang & Ting Ni & Lin Chen, 2022. "Measurement of China’s Building Energy Consumption from the Perspective of a Comprehensive Modified Life Cycle Assessment Statistics Method," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    2. Muhammad Usman & Georg Frey, 2021. "Multi-Objective Techno-Economic Optimization of Design Parameters for Residential Buildings in Different Climate Zones," Sustainability, MDPI, vol. 14(1), pages 1-30, December.
    3. Kittisak Lohwanitchai & Daranee Jareemit, 2021. "Modeling Energy Efficiency Performance and Cost-Benefit Analysis Achieving Net-Zero Energy Building Design: Case Studies of Three Representative Offices in Thailand," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    4. Raniero Sannino, 2023. "Thermal Loads Map and Overall Energy Analysis Depending on Low-Effort Parameters Change: A Commercial Building Case Study," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    5. Hwang, Ruey-Lung & Chen, Wei-An, 2022. "Creating glazed facades performance map based on energy and thermal comfort perspective for office building design strategies in Asian hot-humid climate zone," Applied Energy, Elsevier, vol. 311(C).
    6. Gigih Rahmandhani Setyantho & Hansaem Park & Seongju Chang, 2021. "Multi-Criteria Performance Assessment for Semi-Transparent Photovoltaic Windows in Different Climate Contexts," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    7. Huang, He & Wang, Honglei & Hu, Yu-Jie & Li, Chengjiang & Wang, Xiaolin, 2022. "Optimal plan for energy conservation and CO2 emissions reduction of public buildings considering users' behavior: Case of China," Energy, Elsevier, vol. 261(PA).
    8. Zhao, Zeming & Li, Hangxin & Wang, Shengwei, 2022. "Identification of the key design parameters of Zero/low energy buildings and the impacts of climate and building morphology," Applied Energy, Elsevier, vol. 328(C).
    9. Carlos Carbonell-Carrera & Jose Luis Saorin & Stephany Hess-Medler, 2020. "A Geospatial Thinking Multiyear Study," Sustainability, MDPI, vol. 12(11), pages 1-15, June.

    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. Balali, Amirhossein & Yunusa-Kaltungo, Akilu & Edwards, Rodger, 2023. "A systematic review of passive energy consumption optimisation strategy selection for buildings through multiple criteria decision-making techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    2. Qu, Ke & Chen, Xiangjie & Wang, Yixin & Calautit, John & Riffat, Saffa & Cui, Xin, 2021. "Comprehensive energy, economic and thermal comfort assessments for the passive energy retrofit of historical buildings - A case study of a late nineteenth-century Victorian house renovation in the UK," Energy, Elsevier, vol. 220(C).
    3. Reza Khakian & Mehrdad Karimimoshaver & Farshid Aram & Soghra Zoroufchi Benis & Amir Mosavi & Annamaria R. Varkonyi-Koczy, 2020. "Modeling Nearly Zero Energy Buildings for Sustainable Development in Rural Areas," Energies, MDPI, vol. 13(10), pages 1-19, May.
    4. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    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. Tianyu Zhang & Xianyan Chen & Fen Zhang & Zhi Yang & Yong Wang & Yonghua Li & Linxiao Wei, 2022. "A Case Study of Refined Building Climate Zoning under Complicated Terrain Conditions in China," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    7. Amir Faraji & Maria Rashidi & Fatemeh Rezaei & Payam Rahnamayiezekavat, 2023. "A Meta-Synthesis Review of Occupant Comfort Assessment in Buildings (2002–2022)," Sustainability, MDPI, vol. 15(5), pages 1-36, February.
    8. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Yu, Jinghua & Xu, Xinhua & Su, Xiaosong, 2020. "Towards net zero energy building: The application potential and adaptability of photovoltaic-thermoelectric-battery wall system," Applied Energy, Elsevier, vol. 258(C).
    9. Enescu, Diana, 2017. "A review of thermal comfort models and indicators for indoor environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1353-1379.
    10. Wu, Xianguo & Feng, Zongbao & Chen, Hongyu & Qin, Yawei & Zheng, Shiyi & Wang, Lei & Liu, Yang & Skibniewski, Miroslaw J., 2022. "Intelligent optimization framework of near zero energy consumption building performance based on a hybrid machine learning algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    11. Chi, Fang'ai & Xu, Liming & Pan, Jiajie & Wang, Ruonan & Tao, Yekang & Guo, Yuang & Peng, Changhai, 2020. "Prediction of the total day-round thermal load for residential buildings at various scales based on weather forecast data," Applied Energy, Elsevier, vol. 280(C).
    12. Abdo Abdullah Ahmed Gassar & Choongwan Koo & Tae Wan Kim & Seung Hyun Cha, 2021. "Performance Optimization Studies on Heating, Cooling and Lighting Energy Systems of Buildings during the Design Stage: A Review," Sustainability, MDPI, vol. 13(17), pages 1-47, September.
    13. Wang, Jingjie & Qiu, Rujia & Xu, Bin & Wu, Hongbin & Tang, Longjiang & Zhang, Mingxing & Ding, Ming, 2023. "Aggregated large-scale air-conditioning load: Modeling and response capability evaluation of virtual generator units," Energy, Elsevier, vol. 276(C).
    14. Maria-Mar Fernandez-Antolin & José-Manuel del-Río & Fernando del Ama Gonzalo & Roberto-Alonso Gonzalez-Lezcano, 2020. "The Relationship between the Use of Building Performance Simulation Tools by Recent Graduate Architects and the Deficiencies in Architectural Education," Energies, MDPI, vol. 13(5), pages 1-20, March.
    15. Yuan Fang & Soolyeon Cho & Yanyu Wang & Luya He, 2023. "Sensitivity Analysis and Multi-Objective Optimization of Skylight Design in the Early Design Stage," Energies, MDPI, vol. 17(1), pages 1-18, December.
    16. Duan, Mengfan & Sun, Hongli & Wu, Shuangdui & Wu, Yifan & Lin, Borong, 2023. "A simplified model for the evaluation and comparison of the dynamic performance of different heating terminal types," Energy, Elsevier, vol. 263(PD).
    17. Yupei Lai & Yutong Li & Xinyi Feng & Tao Ma, 2022. "Green retrofit of existing residential buildings in China: An investigation on residents’ perceptions," Energy & Environment, , vol. 33(2), pages 332-353, March.
    18. Ilaria Ballarini & Giovanna De Luca & Argun Paragamyan & Anna Pellegrino & Vincenzo Corrado, 2019. "Transformation of an Office Building into a Nearly Zero Energy Building (nZEB): Implications for Thermal and Visual Comfort and Energy Performance," Energies, MDPI, vol. 12(5), pages 1-18, March.
    19. Bai, Lujian & Yang, Liu & Song, Bing & Liu, Na, 2020. "A new approach to develop a climate classification for building energy efficiency addressing Chinese climate characteristics," Energy, Elsevier, vol. 195(C).
    20. Valeria Palomba & Emiliano Borri & Antonios Charalampidis & Andrea Frazzica & Sotirios Karellas & Luisa F. Cabeza, 2021. "An Innovative Solar-Biomass Energy System to Increase the Share of Renewables in Office Buildings," Energies, MDPI, vol. 14(4), pages 1-25, February.

    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:gam:jsusta:v:12:y:2020:i:9:p:3540-:d:350731. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.