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    • Remote Sensing of Forest Succession in Hong Kong's Country Parks
    • Remote Sensing of Secondary Vegetation Succession in Hong Kong's Country Parks
    • Road Defect Detection Using Deep Learning Method
    • Solar Energy Supply in Cloud-prone Areas of Hong Kong
    • Tree Thermal Image
    • 70 Years of Forest Succession in the Degraded Tropical Landscape of Hong Kong
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Solar Energy Supply in Cloud-prone Areas of Hong Kong

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    Results
    Solar radiation and number of PV panels can determine the amount of generated electricity in PV system. It indicates that the viewshed and area of installation are important to the performance of PV system. Hong Kong contains about 309,606 buildings, 233,152 buildings are suitable to install solar panel. The sum of PV potential is about 2.43 TWh. However, the mean potential PV is only about 10.427 MWh. The map below shows the feasibility of the PV system installed on individual buildings. It is also observed that the large buildings have a larger percentage of PV deployment than the small buildings. In this map, about 10% of buildings have utilization rate below 40%, most of them are residential buildings.

    The table below lists the analysed result of all building rooftops in Hong Kong. There are 233,152 buildings which are suitable for implementing the PV system. The total solar radiation received by building rooftop is 31 TWh in 2012 and the total output energy is about 2.43 TWh. Thus, the average output for each building is about 10.427 MWh. The maximum annual solar radiation in building rooftop is about 160 GWh. The total area of PV employment on rooftop area is about 28,643,335 m2 and average solar radiation is 1773 kWh. The utilization ratio is calculated by dividing the optimal PV area with the area of building rooftops. The maximum utilization ratio of PV installation is 0.98 and the averaged utilization ratio is 0.51. 

    The total and average PV potential in residential region is larger than the commercial region. It indicates that the efficiency and total generation of electricity in residential region is higher that the commercial region. However, it is observed that, the efficiency of residential buildings in commercial region is lower than the commercial buildings which contain a larger rooftop area. It is because the commercial district contains lots of skyscrapers. The skyscrapers obstruct the viewshed of the short buildings nearby. Therefore, the solar radiation incident on the PV is greatly reduced. In the residential area, the buildings are spatially distributed. It greatly reduces the chance of obstruction from surrounding buildings. Some of the buildings, especially for the village houses in Yuen Long, are relatively short and have good viewsheds. A better viewshed gives a higher efficiency in generation of electricity. 

    The residential buildings have the lowest utilization rate but industrial buildings have greatest utilization rate. The industrial buildings usually locate at a less crowded district and with larger rooftop areas. As a result, the PV systems on industrial rooftops can generate electricity at the highest efficiency. 

    Associate the Land Utilization map in 2011 below with the estimated PV potential in buildings by spatial join, the electricity generation in different type of land uses can be accounted. The table below shows the statistical data of performance of PV panels according to different land uses. There are 40 types of land uses. 

    Three types of major buildings are extracted for comparison at the table below: industrial buildings, residential buildings and commercial buildings. A column named “utilization ratio” is defined as the estimated areas of installation divided by the areas of rooftop. It indicates the feasibility of the PV system deployment. The residential buildings provide 648 GWh energy with utilization ratio of 64%. Meanwhile, the commercial buildings provide 166 GWh with utilization ratio of 67% and industrial buildings provide 410 GWh with utilization ratio of 78%. It indicates that the industrial buildings are capable to employ PV system efficiently and residential buildings can produce the largest amount of electricity. 

    There are about 24,217,705 m² open spaces in Hong Kong, and some are suitable for installing the PV modules. The total estimated energy in these 2,475 open spaces are 38 TWh, the highest average solar radiation is around 2,066 kWh/m², and the average solar radiation is 16 GWh. In the 2,475 open space area, most of them have large unused areas which can receive direct significant solar energy. Figure below illustrated the average solar radiation map of open spaces. The areas with higher average solar radiation can be interpreted as orange and red parcels. 

    Acknowledgement
    This research project (Project Number: 2013.A6.024.13A) is funded by the Public Policy Research Funding Scheme from the Central Policy Unit of the Hong Kong Special Administrative Region Government.

Solar Energy Supply in Cloud-prone Areas of Hong Kong

Hong Kong is a high energy-demand city. Burning fossil fuels e.g. coal, oil and natural gas during electricity generation releases greenhouse gases and pollutants into the atmosphere. Due to the rapid scale of economic and population growth, anthropogenic greenhouse gas emissions have increased and are now higher than ever (IPCC, 2014). The greenhouse gases will accelerate the insulating effect in the atmosphere and also are the major causative factors in global warming. The mitigation of climate change has become a major public objective, and using renewable energy is one method to achieve this. In order to encourage the usage of solar photovoltaic (PV) technology in Hong Kong, this study aims at utilizing Geographic Information Systems (GIS), Remote Sensing (RS) and airborne LiDAR technology to determine appropriate locations e.g. available rooftop areas, and total potential output power for the deployment of solar photovoltaic systems in Hong Kong. In addition, in order to derive a spatial cloud cover map for Hong Kong, geostationary satellite images from the Multi-functional Transport Satellite (MTSAT) were acquired and used for cloud mapping. The land utilization map of Hong Kong (LUM HK), digital elevation model (DEM)/ digital surface model (DSM), building GIS data and tertiary planning unit (TPU) data were also used as ancillary data


Other Research Projects

  • Augmented Teaching and Learning Advancement System
     
    Jockey Club Smart City Tree Management Project
     
    Identification of Rock Outcrops Using Remote Sensing Techniques
    Remote Sensing of Secondary Vegetation Succession in Hong Kong's Country Parks
  • Estimating Time-series of Anthropogenic Heat Flux at City Scale
    Characterization of Asian Dust Storms with Geostationary Satellites MTSAT
    iBeacon Positioning
     
     
    Land Use and Land Cover Mapping of Pearl River Delta region and Hong Kong
  • MOOC course: Introduction to Urban Geo-Informatics
     
     
    A UV-based Remote Sensing Technology For Sulphur Dioxide Detection And Monitoring From Ship Emissions
    Coastal Water Quality Monitoring in Hong Kong
     
     
    A Practical Application of Integrated Micro-Environmental Monitoring System for Construction Sites
  • 70 Years of Forest Succession in the Degraded Tropical Landscape of Hong Kong
    Impact of The Super Typhoon Manghkut on The Secondary Forest of Hong Kong
    Development of Hyperspectral Library to Distinguish Urban Tree Species in Hong Kong
    Remote Sensing of Forest Succession in Hong Kong's Country Parks
  • Modelling Woody Vegetation in Sudano-Sahe-lina Zone of Nigeria Using Remote Sensing
    LiDAR Technique Helps to Acquire Basic Tree Information
     
    Road Defect Detection Using Deep Learning Method
     
    Tree Thermal Image
     
     
  • Solar Energy Supply in Cloud-prone Areas of Hong Kong
     
     
    Brownfield Classification
     
    Establishment of Hong Kong AERONET Station
     
    Environmental adaptability of settlement
     
  • Assessing the Impact of Land Use Morphology on Air Pollution and Human Mobility for COVID-19 Incidence
     
    Development of AI-based algorithms for classification of tree species and retrieval of tree parameters using handheld laser scanning

     Estimation of solar irradiation on the urban building rooftop in Hong Kong
     
     
    An integrated knowledge-based Remote Sensing and GIS dynamic model for the urban thermal environment
     
  • Machine learning-based estimation of solar potential on three-dimensional urban envelopes
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