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

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

doi:10.1016/j.renene.2016.07.003

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

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

Research output: Journal article publication › Journal article › Academic research › peer-review

69 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	325-335
Number of pages	11
Journal	Renewable Energy
Volume	99
DOIs	https://doi.org/10.1016/j.renene.2016.07.003
Publication status	Published - 1 Dec 2016

Keywords

Building rooftop
Photovoltaic potential
Satellite imagery
Solar radiation

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1016/j.renene.2016.07.003

Cite this

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abstract = "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.",

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AU - Wong, Man Sing

AU - Zhu, Rui

AU - Liu, Zhizhao

AU - Lu, Lin

AU - Peng, Jinqing

AU - Tang, Zhaoqin

AU - Lo, Chung Ho

AU - Chan, Wai Ki

PY - 2016/12/1

Y1 - 2016/12/1

N2 - 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.

AB - 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.

KW - Building rooftop

KW - Photovoltaic potential

KW - Satellite imagery

KW - Solar radiation

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U2 - 10.1016/j.renene.2016.07.003

DO - 10.1016/j.renene.2016.07.003

M3 - Journal article

SN - 0960-1481

VL - 99

SP - 325

EP - 335

JO - Renewable Energy

JF - Renewable Energy

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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