GIS-based estimation of rooftop solar photovoltaic potential using LiDAR

Latif, Zulkiflee Abd; Zaki, Nurul Ain Mohd; Salleh, Siti Aekbal

doi:10.1109/cspa.2012.6194755

Cited by 27 publications

(17 citation statements)

References 11 publications

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“…and Georgetown, Malaysia (Latif et al 2012), studies-very few buildings are verified. Researchers in the Kingston study measure shadows at one building during both a morning hour and an afternoon hour to validate their results on the study area of 100 buildings.…”

Section: Validation Of Resultsmentioning

confidence: 95%

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Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques

Melius

Margolis

Ong

2013

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Section: Validation Of Resultsmentioning

confidence: 95%

“…Latif et al (2012) use LiDAR data to create a DSM for Georgetown, Malaysia. From this DSM, slope, aspect, and solar radiation are calculated.…”

Section: Gis-based Methodsmentioning

confidence: 99%

Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques

Melius

Margolis

Ong

2013

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“…The utilisation of geographic information system (GIS) has been increasingly adopted in solar PV analysis to carry out assessment of solar resources, and its application in regions such as Europe, North America and Asia and has been well documented [27][28][29][30][31]. In some cases, such an approach utilises light detection and ranging (LiDAR) data to facilitate the simulation of solar radiation on various surface areas, enabling PV system deployment and assessments to be conducted at large geographic scale [30,32].…”

Section: Methodsmentioning

confidence: 99%

Assessment of Large Scale Photovoltaic Power Generation from Carport Canopies

Alghamdi

Bahaj

2017

Energies

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Abstract:Reliance on fossil fuel-driven energy supply is a major contributor to global emissions. In order to stay within the Paris Agreement's temperature rise limits, current and growing energy consumption will need to be significantly underpinned by deployment of low/non-carbon power generation. This work promotes power generation at the megawatt scale from solar photovoltaics (PV) systems deployed in untapped car parking areas, which are estimated to represent up to~6.6% of the urban footprint within cities. The methodology developed is globally applicable to support PV development, including site selection and PV array configuration. It is underpinned by a case study in a university campus, which has a similar footprint as assigned in cities for vehicle parking. The methodology demonstrates that less than 1% of the available parking spaces are affected by shadows from surrounding buildings or vegetation. The work shows that by utilising such parking areas within the selected campus a PV installation with a capacity of~36.4 MWp, which can generatẽ 66.2 GWh of electricity annually, would be feasible. Financial analysis based on multiple scenarios indicates that a 50% return on investment is achievable over 25 years at an export tariff of USD ¢4.5/kWh, which is commensurate with the latest granted bids for a similar export tariff.

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“…Implementation of insolation pattern analysis has been widely used in diverse application considering either atmospheric or topographic factors [4,7,8,9,10]. Various characteristics of the obstruction angles, sky opening and view factors indicators can also be examined based on the insolation pattern provided by direct, diffuse and reflected irradiance [6].…”

Section: Review Of Insolation Pattern and Surface Modelingmentioning

confidence: 99%

The reliance of insolation pattern on surface aspect

Saad¹,

Hamid

Suldi

2014

IOP Conf. Ser.: Earth Environ. Sci.

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The Sun's radiated energy is an important source in realizing the green technology concept construction. When interacting with the atmosphere and objects on the Earth's surface incoming solar radiation (insolation) will create insolation patterns that are ambiguous and as a result need to be investigated further. This paper explores the insolation pattern and ambiguities against topographic surfaces in the context of direct, diffuse, and reflectance irradiance. The topography is modeled from LiDAR data as Digital Surface Model (DSM) and Digital Terrain Model (DTM). The generated DSM and DTM were converted to Triangular Irregular Network (TIN) format within the Arc GIS environment before the insolation pattern could be visualized. The slope and aspect of the topography has an impact on the insolation which is the emphasis of this paper. The main outcome from the study is the insolation map and plots of relationship between the insolation and surface aspect. The findings from this study should contribute to the sustainable practices of green building technology.

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GIS-based estimation of rooftop solar photovoltaic potential using LiDAR

Cited by 27 publications

References 11 publications

Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques

Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques

Assessment of Large Scale Photovoltaic Power Generation from Carport Canopies

The reliance of insolation pattern on surface aspect

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