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Sustainability at Auburn University: Assessing Rooftop Solar Energy Potential for Electricity Generation with Remote Sensing and GIS in a Southern US Campus

Author

Listed:
  • Victoria Stack

    (School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA)

  • Lana L. Narine

    (School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA)

Abstract

Achieving sustainability through solar energy has become an increasingly accessible option in the United States (US). Nationwide, universities are at the forefront of energy efficiency and renewable generation goals. The aim of this study was to determine the suitability for the installation of photovoltaic (PV) systems based on their solar potential and corresponding electricity generation potential on a southern US university campus. Using Auburn University located in the southern US as a case study, freely available geospatial data were utilized, and geographic information system (GIS) approaches were applied to characterize solar potential across the 1875-acre campus. Airborne light detection and ranging (lidar) point clouds were processed to extract a digital surface model (DSM), from which slope and aspect were derived. The area and total solar radiation of campus buildings were calculated, and suitable buildings were then determined based on slope, aspect, and total solar radiation. Results highlighted that of 443 buildings, 323 were fit for solar arrays, and these selected rooftops can produce 27,068,555 kWh annually. This study demonstrated that Auburn University could benefit from rooftop solar arrays, and the proposed arrays would account for approximately 21.07% of annual electricity requirement by buildings, equivalent to 14.43% of total campus electricity for all operations. Given increasing open and free access to high-resolution lidar data across the US, methods from this study are adaptable to institutions nationwide, for the development of a comprehensive assessment of solar potential, toward meeting campus energy goals.

Suggested Citation

  • Victoria Stack & Lana L. Narine, 2022. "Sustainability at Auburn University: Assessing Rooftop Solar Energy Potential for Electricity Generation with Remote Sensing and GIS in a Southern US Campus," Sustainability, MDPI, vol. 14(2), pages 1-14, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:626-:d:719232
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    References listed on IDEAS

    as
    1. Lee, Ji Hyung & Shin, Youngki, 2023. "Complete Subset Averaging For Quantile Regressions," Econometric Theory, Cambridge University Press, vol. 39(1), pages 146-188, February.
    2. Sun, Yuying & Hong, Yongmiao & Lee, Tae-Hwy & Wang, Shouyang & Zhang, Xinyu, 2021. "Time-varying model averaging," Journal of Econometrics, Elsevier, vol. 222(2), pages 974-992.
    3. Wen-Kai Shao & Yuan He & Yuan Yi, 2021. "Evaluations of a Weighted Average of Gauss Sums," Journal of Mathematics, Hindawi, vol. 2021, pages 1-5, June.
    4. Yuchen Hu & Shuangning Li & Stefan Wager, 2021. "Average Direct and Indirect Causal Effects under Interference," Papers 2104.03802, arXiv.org, revised Jan 2022.
    5. Wang, Weiwei & Zhang, Qi & Zhang, Xinyu & Li, Xinmin, 2021. "Model averaging based on generalized method of moments," Economics Letters, Elsevier, vol. 200(C).
    6. Jacky Lin & Genevieve C. Selden & John B. Shoven & Clemens Sialm, 2021. "Replicating the Dow Jones Industrial Average," NBER Working Papers 28528, National Bureau of Economic Research, Inc.
    7. Li, Yuanyuan & Fan, jiaqi & Xi, lifeng, 2021. "Average geodesic distance on stretched Sierpiński gasket," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    8. Yinghua Li & Yongsong Qin, 2021. "Empirical likelihood for moving average models," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 50(15), pages 3661-3676, July.
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    1. Özdemir, Samed & Yavuzdoğan, Ahmet & Bilgilioğlu, Burhan Baha & Akbulut, Zeynep, 2023. "SPAN: An open-source plugin for photovoltaic potential estimation of individual roof segments using point cloud data," Renewable Energy, Elsevier, vol. 216(C).
    2. Naief A. Aldossary & Jamal K. Alghamdi & Abdulaziz A. Alzahrani & Ali Alqahtany & Saleh H. Alyami, 2023. "Evaluation of Planned Sustainable Urban Development Projects in Al-Baha Region Using Analytical Hierarchy Process," Sustainability, MDPI, vol. 15(7), pages 1-19, March.

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