IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i19p7063-d925380.html
   My bibliography  Save this article

Analysis of Requirements for Achieving Carbon Neutrality in a Cold Dense City Using GIS

Author

Listed:
  • Osawa Hisato

    (Graduate School of Engineering, Hokkaido University, Kitaku-Kita 13, Nishi 8, Sapporo 060-8628, Japan)

  • Taro Mori

    (Graduate School of Engineering, Hokkaido University, Kitaku-Kita 13, Nishi 8, Sapporo 060-8628, Japan)

  • Kouichi Shinagawa

    (Nihon Sekkei, Inc., 6-5-1, Nishi-Shinjuku, Shinjuku-ku, Tokyo 163-1329, Japan)

  • Satoshi Nakayama

    (Department of Architecture, Faculty of Engineering, Okayama University of Science, 1-1 Ridaicho, Kita-ku, Okayama-shi 700-0005, Japan)

  • Hayato Hosobuchi

    (Department of Architecture, Faculty of Engineering, Aichi Institute of Technology, 1247 Yachigusa, Yakusa Cho, Toyota 470-0392, Japan)

  • Emad Mushtaha

    (Department of Architectural Engineering, College of Enginerring, University of Sharjah, Sharjah 27272, United Arab Emirates)

Abstract

Photovoltaics (PV) can make a significant contribution to achieving carbon neutrality in buildings. Geographic information systems (GIS) make it easy to model cities and simulate PV with high accuracy. However, the computational burden from 3D urban models remains high. In this study, the complex geometry of a city was represented in 2D images, and we propose a method for performing multiple PV simulations in a short amount of time by using these 2D images. The ratio of electricity generation to primary energy consumption ( E G / E ) was calculated for 415 office buildings in Sapporo, Japan, and conditions for achieving carbon neutrality in these buildings were explored. For buildings with a small gross floor area, E G / E can be higher than one, and carbon neutrality can be achieved by improving the performance of the exterior walls and windows and by increasing the area of the PV installed. However, to improve E G / E in buildings with a large gross floor area, it is necessary to consider improving the performance of the equipment used and the efficient operation of the HVAC system. The method is useful for considering ways to achieve carbon neutrality in various cities.

Suggested Citation

  • Osawa Hisato & Taro Mori & Kouichi Shinagawa & Satoshi Nakayama & Hayato Hosobuchi & Emad Mushtaha, 2022. "Analysis of Requirements for Achieving Carbon Neutrality in a Cold Dense City Using GIS," Energies, MDPI, vol. 15(19), pages 1-24, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7063-:d:925380
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/19/7063/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/19/7063/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mussard, Maxime, 2017. "Solar energy under cold climatic conditions: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 733-745.
    2. Javanroodi, Kavan & Mahdavinejad, Mohammadjavad & Nik, Vahid M., 2018. "Impacts of urban morphology on reducing cooling load and increasing ventilation potential in hot-arid climate," Applied Energy, Elsevier, vol. 231(C), pages 714-746.
    3. Wang, Ran & Feng, Wei & Wang, Lan & Lu, Shilei, 2021. "A comprehensive evaluation of zero energy buildings in cold regions: Actual performance and key technologies of cases from China, the US, and the European Union," Energy, Elsevier, vol. 215(PA).
    4. Forde, Joe & Osmani, Mohammed & Morton, Craig, 2021. "An investigation into zero-carbon planning policy for new-build housing," Energy Policy, Elsevier, vol. 159(C).
    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. Jinhui Ma & Haijing Huang & Mingxi Peng & Yihuan Zhou, 2024. "Investigating the Heterogeneity Effects of Urban Morphology on Building Energy Consumption from a Spatio-Temporal Perspective Using Old Residential Buildings on a University Campus," Land, MDPI, vol. 13(10), pages 1-24, October.
    2. Xiaodan Zhang & Jian Lv & Jianming Xie & Jihua Yu & Jing Zhang & Chaonan Tang & Jing Li & Zhixue He & Cheng Wang, 2020. "Solar Radiation Allocation and Spatial Distribution in Chinese Solar Greenhouses: Model Development and Application," Energies, MDPI, vol. 13(5), pages 1-27, March.
    3. Ma, Ting & Guo, Zhixiong & Lin, Mei & Wang, Qiuwang, 2021. "Recent trends on nanofluid heat transfer machine learning research applied to renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    4. D'Agostino, D. & Minelli, F. & D'Urso, M. & Minichiello, F., 2022. "Fixed and tracking PV systems for Net Zero Energy Buildings: Comparison between yearly and monthly energy balance," Renewable Energy, Elsevier, vol. 195(C), pages 809-824.
    5. Hettinga, Sanne & van ’t Veer, Rein & Boter, Jaap, 2023. "Large scale energy labelling with models: The EU TABULA model versus machine learning with open data," Energy, Elsevier, vol. 264(C).
    6. Federico Minelli & Diana D’Agostino & Maria Migliozzi & Francesco Minichiello & Pierpaolo D’Agostino, 2023. "PhloVer: A Modular and Integrated Tracking Photovoltaic Shading Device for Sustainable Large Urban Spaces—Preliminary Study and Prototyping," Energies, MDPI, vol. 16(15), pages 1-35, August.
    7. Wei Feng & Wei Ding & Yingdi Yin & Qixian Lin & Meng Zheng & Miaomiao Fei, 2021. "Optimization Strategy of Traditional Block Form Based on Field Investigation—A Case Study of Xi’an Baxian’an, China," IJERPH, MDPI, vol. 18(20), pages 1-25, October.
    8. Fan, Xinying, 2022. "A method for the generation of typical meteorological year data using ensemble empirical mode decomposition for different climates of China and performance comparison analysis," Energy, Elsevier, vol. 240(C).
    9. Battini, Federico & Pernigotto, Giovanni & Gasparella, Andrea, 2023. "District-level validation of a shoeboxing simplification algorithm to speed-up Urban Building Energy Modeling simulations," Applied Energy, Elsevier, vol. 349(C).
    10. Jonathan Doh & Pawan Budhwar & Geoffrey Wood, 2021. "Long-term energy transitions and international business: Concepts, theory, methods, and a research agenda," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(5), pages 951-970, July.
    11. Li, Senji & Chen, Zhenwu & Liu, Xing & Zhang, Xiaochun & Zhou, Yong & Gu, Wenbo & Ma, Tao, 2021. "Numerical simulation of a novel pavement integrated photovoltaic thermal (PIPVT) module," Applied Energy, Elsevier, vol. 283(C).
    12. Yi Song Liu & Tan Yigitcanlar & Mirko Guaralda & Kenan Degirmenci & Aaron Liu & Michael Kane, 2022. "Leveraging the Opportunities of Wind for Cities through Urban Planning and Design: A PRISMA Review," Sustainability, MDPI, vol. 14(18), pages 1-78, September.
    13. Xiang Liu & Wanjiang Wang & Yingjie Ding & Kun Wang & Jie Li & Han Cha & Yeriken Saierpeng, 2024. "Research on the Design Strategy of Double–Skin Facade in Cold and Frigid Regions—Using Xinjiang Public Buildings as an Example," Sustainability, MDPI, vol. 16(11), pages 1-30, June.
    14. Yaping Chen & Chun Wang & Yinze Hu, 2024. "Energy Consumption and Outdoor Thermal Comfort Characteristics in High-Density Urban Areas Based on Local Climate Zone—A Case Study of Changsha, China," Sustainability, MDPI, vol. 16(16), pages 1-35, August.
    15. Huimin Ji & Yifan Li & Juan Li & Wowo Ding, 2023. "A Novel Quantitative Approach to the Spatial Configuration of Urban Streets Based on Local Wind Environment," Land, MDPI, vol. 12(12), pages 1-25, November.
    16. Zhao, Bin & Wang, Chuyao & Hu, Mingke & Ao, Xianze & Liu, Jie & Xuan, Qingdong & Pei, Gang, 2022. "Light and thermal management of the semi-transparent radiative cooling glass for buildings," Energy, Elsevier, vol. 238(PA).
    17. Natanian, Jonathan & Aleksandrowicz, Or & Auer, Thomas, 2019. "A parametric approach to optimizing urban form, energy balance and environmental quality: The case of Mediterranean districts," Applied Energy, Elsevier, vol. 254(C).
    18. Zhang, Shicong & Wang, Ke & Xu, Wei & Iyer-Raniga, Usha & Athienitis, Andreas & Ge, Hua & Cho, Dong woo & Feng, Wei & Okumiya, Masaya & Yoon, Gyuyoung & Mazria, Edward & Lyu, Yanjie, 2021. "Policy recommendations for the zero energy building promotion towards carbon neutral in Asia-Pacific Region," Energy Policy, Elsevier, vol. 159(C).
    19. Juan, Yu-Hsuan & Wen, Chih-Yung & Li, Zhengtong & Yang, An-Shik, 2021. "Impacts of urban morphology on improving urban wind energy potential for generic high-rise building arrays," Applied Energy, Elsevier, vol. 299(C).
    20. Salah Vaisi & Saleh Mohammadi & Benedetto Nastasi & Kavan Javanroodi, 2020. "A New Generation of Thermal Energy Benchmarks for University Buildings," Energies, MDPI, vol. 13(24), pages 1-18, December.

    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:jeners:v:15:y:2022:i:19:p:7063-:d:925380. 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.