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Estimation of Hong Kong’s solar energy potential using GIS and remote sensing technologies

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  • Wong, Man Sing
  • Zhu, Rui
  • Liu, Zhizhao
  • Lu, Lin
  • Peng, Jinqing
  • Tang, Zhaoqin
  • Lo, Chung Ho
  • Chan, Wai Ki

Abstract

This paper studies the use of Remote Sensing (RS) technologies and Geographic Information Systems (GIS) for estimation of city-wide photovoltaic (PV) potential in Hong Kong. It investigates the spatial distribution of cloud coverage through geostationary satellites from the Multi-functional Transport Satellite (MTSAT). The results indicate that a non-prominent spatial variation of cloud cover presides over a majority of Hong Kong territories. Appropriate locations for deploying solar PV panels, such as rooftops, were delineated using RS, GIS, and existing ancillary data. Extraction and filtering of pixels based on a set of criterions were used to identify optimal PV rooftops. This study shows that the summarization of PV potentials in Hong Kong is 2.66 TWh on building rooftops. The methodologies and findings from this study permits detailed spatial estimation of city-wide solar energy potential, and assists the policy-decision process on the use of renewable energy in Hong Kong.

Suggested Citation

  • Wong, Man Sing & Zhu, Rui & Liu, Zhizhao & Lu, Lin & Peng, Jinqing & Tang, Zhaoqin & Lo, Chung Ho & Chan, Wai Ki, 2016. "Estimation of Hong Kong’s solar energy potential using GIS and remote sensing technologies," Renewable Energy, Elsevier, vol. 99(C), pages 325-335.
  • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:325-335
    DOI: 10.1016/j.renene.2016.07.003
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    References listed on IDEAS

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    1. Lukač, Niko & Seme, Sebastijan & Žlaus, Danijel & Štumberger, Gorazd & Žalik, Borut, 2014. "Buildings roofs photovoltaic potential assessment based on LiDAR (Light Detection And Ranging) data," Energy, Elsevier, vol. 66(C), pages 598-609.
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    Cited by:

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    2. Guglielmina Mutani & Valeria Todeschi, 2021. "Optimization of Costs and Self-Sufficiency for Roof Integrated Photovoltaic Technologies on Residential Buildings," Energies, MDPI, vol. 14(13), pages 1-25, July.
    3. Özdemir, Samed & Yavuzdoğan, Ahmet & Bilgilioğlu, Burhan Baha & Akbulut, Zeynep, 2023. "SPAN: An open-source plugin for photovoltaic potential estimation of individual roof segments using point cloud data," Renewable Energy, Elsevier, vol. 216(C).
    4. Ruixiaoxiao Zhang & Geoffrey QP Shen & Meng Ni & Johnny Wong, 2020. "The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy," Energy & Environment, , vol. 31(2), pages 215-236, March.
    5. Yushchenko, Alisa & de Bono, Andrea & Chatenoux, Bruno & Kumar Patel, Martin & Ray, Nicolas, 2018. "GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2088-2103.
    6. He Zheng & Bo Wu & Hui Lin & Junsong Jia & Heyi Wei, 2023. "Feasibility assessment of solar photovoltaic deployments on building surfaces with the constraint of visual impacts," Environment and Planning B, , vol. 50(6), pages 1591-1606, July.
    7. Zhu, Rui & Wong, Man Sing & You, Linlin & Santi, Paolo & Nichol, Janet & Ho, Hung Chak & Lu, Lin & Ratti, Carlo, 2020. "The effect of urban morphology on the solar capacity of three-dimensional cities," Renewable Energy, Elsevier, vol. 153(C), pages 1111-1126.
    8. Sredenšek, Klemen & Štumberger, Bojan & Hadžiselimović, Miralem & Mavsar, Primož & Seme, Sebastijan, 2022. "Physical, geographical, technical, and economic potential for the optimal configuration of photovoltaic systems using a digital surface model and optimization method," Energy, Elsevier, vol. 242(C).
    9. Siwei Lou & Wenqiang Chen & Danny H.W. Li & Mo Wang & Hainan Chen & Isaac Y.F. Lun & Dawei Xia, 2019. "Tilted Photovoltaic Energy Outputs in Outdoor Environments," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    10. Ye, Yuxuan & Zhu, Rui & Yan, Jinyue & Lu, Lin & Wong, Man Sing & Luo, Wei & Chen, Min & Zhang, Fan & You, Linlin & Wang, Yafei & Qin, Zheng, 2023. "Planning the installation of building-integrated photovoltaic shading devices: A GIS-based spatiotemporal analysis and optimization approach," Renewable Energy, Elsevier, vol. 216(C).
    11. Jurasz, Jakub & Piasecki, Adam & Hunt, Julian & Zheng, Wandong & Ma, Tao & Kies, Alexander, 2022. "Building integrated pumped-storage potential on a city scale: An analysis based on geographic information systems," Energy, Elsevier, vol. 242(C).
    12. Liao, Xuan & Zhu, Rui & Wong, Man Sing & Heo, Joon & Chan, P.W. & Kwok, Coco Yin Tung, 2023. "Fast and accurate estimation of solar irradiation on building rooftops in Hong Kong: A machine learning-based parameterization approach," Renewable Energy, Elsevier, vol. 216(C).
    13. Zhu, Rui & Kondor, Dániel & Cheng, Cheng & Zhang, Xiaohu & Santi, Paolo & Wong, Man Sing & Ratti, Carlo, 2022. "Solar photovoltaic generation for charging shared electric scooters," Applied Energy, Elsevier, vol. 313(C).
    14. Dehwah, Ammar H.A. & Asif, Muhammad, 2019. "Assessment of net energy contribution to buildings by rooftop photovoltaic systems in hot-humid climates," Renewable Energy, Elsevier, vol. 131(C), pages 1288-1299.
    15. Chih-Chiang Wei, 2017. "Predictions of Surface Solar Radiation on Tilted Solar Panels using Machine Learning Models: A Case Study of Tainan City, Taiwan," Energies, MDPI, vol. 10(10), pages 1-26, October.
    16. Koo, Choongwan & Si, Ke & Li, Wenzhuo & Lee, JeeHee, 2022. "Integrated approach to evaluating the impact of feed-in tariffs on the life cycle economic performance of photovoltaic systems in China: A case study of educational facilities," Energy, Elsevier, vol. 254(PB).
    17. Sánchez-Aparicio, M. & Martín-Jiménez, J. & Del Pozo, S. & González-González, E. & Lagüela, S., 2021. "Ener3DMap-SolarWeb roofs: A geospatial web-based platform to compute photovoltaic potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    18. Gassar, Abdo Abdullah Ahmed & Cha, Seung Hyun, 2021. "Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales," Applied Energy, Elsevier, vol. 291(C).
    19. Peng, Jinqing & Lu, Lin & Wang, Meng, 2019. "A new model to evaluate solar spectrum impacts on the short circuit current of solar photovoltaic modules," Energy, Elsevier, vol. 169(C), pages 29-37.

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