A pixel-based approach to estimation of solar energy potential on building roofs

Li, Yan, Ding, Ding, Liu, Chunlu and Wang, Chongjie 2016, A pixel-based approach to estimation of solar energy potential on building roofs, Energy and buildings, vol. 129, pp. 563-573, doi: 10.1016/j.enbuild.2016.08.025.

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Title A pixel-based approach to estimation of solar energy potential on building roofs
Author(s) Li, Yan
Ding, Ding
Liu, ChunluORCID iD for Liu, Chunlu orcid.org/0000-0003-1144-4355
Wang, Chongjie
Journal name Energy and buildings
Volume number 129
Start page 563
End page 573
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-10-01
ISSN 0378-7788
Keyword(s) Building roofs
Solar radiation
Urban energy planning
Summary Precise estimation of solar energy on building roofs plays a critical role in sustainable development and renewable energy consumption of high-density human habitats. Conventional solar radiation models based on costly Light Detection and Ranging (LiDAR) data are only adequate for existing buildings, not for future construction areas. In this paper, a pixel-based methodology is constructed for estimating solar energy potential over roofs. Buildings with flat roofs in a newly planned construction area are chosen as a case study. The solar radiation at a certain cell is mathematically formulated in the pixel unit, and its yields over a certain time period are calculated by considering multiple instantaneous solar irradiances and are visually presented by image processing. Significant spatial and temporal variations in solar radiation are measured. Within the study area, the maximum and minimum annual radiation yields are estimated at 4717.72 MJ/m2/year and 342.58 MJ/m2/year respectively. Radiation contour lines are then mapped for outlining installation ranges of various solar devices. For each apartment building, around 20% of roof areas can obtain 4500 MJ/m2/year or more solar radiation yields. This study will benefit energy investors and urban planners in accurately predicting solar radiation potential and identifying regions with high radiation over building roofs. The results can be utilised in government policies and urban planning to raise awareness of the use of renewable energy sources.
Language eng
DOI 10.1016/j.enbuild.2016.08.025
Field of Research 120201 Building Construction Management and Project Planning
Socio Economic Objective 970112 Expanding Knowledge in Built Environment and Design
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30085963

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