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The Potential Area Estimation for Solar Installation Based on Insolation Pattern Derived from LiDAR Points Cloud Data

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Charting the Sustainable Future of ASEAN in Science and Technology

Abstract

The efficiency of solar power generator requires several parameters to optimize the produced energy. This study is conducted to assess and analyze potential areas for solar photovoltaic (PV) installation based on insolation pattern derived from LiDAR imagery. The main source of electricity in Malaysia is primarily generated from natural fossil fuels such as coal, oil or natural gases which contribute to some negative impacts toward the environment. Solar PV technology is an effective solution to reduce environmental effects and utility cost. This study is significant to create awareness among Malaysian citizen on the utilization of solar power while testing the reliability of LiDAR data in modeling the insolation pattern for the entire year of 2018. The approach of this study comprises three main stages; starting with the analysis on the aspect and slope of topographic and man-made structures, the insolation pattern per month and year 2018 and the determination of potential rooftop areas for solar PV installation. The final output of this study is the map of potential areas for solar PV installation on rooftops with specific aspect and slope.

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References

  • Akkas OP, Erten MY, Cam E, Inanc N (2017) Optimal site selection for a solar power plant in the central anatolian region of Turkey. Int J Photoenergy

    Google Scholar 

  • Bahill AC (2010) Solar panels derived from LiDAR. Sol Energy 45:24–27

    Google Scholar 

  • Brown M, Hagstrom S (2018) 3D metrics for airborne topographic LiDAR. In: Reference module in materials sciences and materials engineering. https://doi.org/10.1016/b978-0-12-803581-8.09419-4

  • Daut I, Irwanto M, Irwan YM, Gomesh N, Ahmad NS (2011) Clear sky global solar irradiance on tilt angles of photovoltaic module in Perlis, Northern Malaysia. In: ECCE 2011—international conference on electrical, control and computer engineering. pp 445–450. https://doi.org/10.1109/INECCE.2011.5953923

  • Hashim AM, Ali MAM, Ahmad B, Shafie RM, Rusli R, Aziz MA, Wanik MZC (2013) A preliminary analysis of solar irradiance measurements at TNB solar research centre for optimal orientation of fixed solar panels installed in Selangor Malaysia. IOP Conf Ser Earth Environ Sci 16:1. https://doi.org/10.1088/1755-1315/16/1/012001

    Article  Google Scholar 

  • Lin I, Ahmad FM, Iftikhar A (2017) Impact of slope, aspect and cloud cover on the distribution of incoming global solar radiation over Pakistan. Space Earth Inf Sci 3

    Google Scholar 

  • Mierzwiak M, Calka B (2017) Multi-criteria analysis for solar farm location suitability. Rep Geodesy Geoinform. https://doi.org/10.1515/rgg-2017-0012

    Article  Google Scholar 

  • Md Saad N, Abdul Hamid JR, Mohd Suldi A (2014) The reliance of insolation pattern on surface aspect N. In: Saad NM (ed) International symposium of the digital earth 012165, 6–12. IOP Publishing. https://doi.org/10.1088/1755-1315/18/1/012165

  • Ng KM, Adam NM, Inayatullah O, Zainal M, Ab A (2014) Assessment of solar radiation on diversely oriented surfaces and optimum tilts for solar absorbers in Malaysian tropical latitude. Energy Environ Eng 5:5. https://doi.org/10.1007/s40095-014-0075-7

  • Suruhanjaya Tenaga Malaysia (2017) Energy statistics in Malaysia. Putrajaya, Malaysia

    Google Scholar 

  • Tahir ZR, Asim M (2017) Surface measured solar radiation data and solar energy resource assessment of Pakistan: a review. Renew Sustain Energy Rev 81:1–23. https://doi.org/10.1016/j.rser.2017.06.090

  • Tian YQ, Davies-colley RJ, Gong P, Thorrold BW (2001) Estimating solar radiation on slopes of arbitrary aspect. Agric For Meteorol 109:67–74

    Article  Google Scholar 

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Correspondence to Nurhafiza Md Saad .

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Md Saad, N., Mohd Shukair, M.K.A., Mohamed Saraf, N., Hamid, J.R.A., Talib, N., Abdul Rasam, A.R. (2020). The Potential Area Estimation for Solar Installation Based on Insolation Pattern Derived from LiDAR Points Cloud Data. In: Alias, N., Yusof, R. (eds) Charting the Sustainable Future of ASEAN in Science and Technology . Springer, Singapore. https://doi.org/10.1007/978-981-15-3434-8_29

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  • DOI: https://doi.org/10.1007/978-981-15-3434-8_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3433-1

  • Online ISBN: 978-981-15-3434-8

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