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Strategic land use analysis for solar energy development in New York State

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  • Katkar, Venktesh V.
  • Sward, Jeffrey A.
  • Worsley, Alex
  • Zhang, K. Max

Abstract

This study investigates the spatial characteristics of existing utility-scale solar energy (USSE) development in New York State (NYS) and assesses the land-suitability for the future development of USSE needed to achieve the State’s renewable energy goals using GIS-MCDA techniques. Slope, proximity to electric substations, protected lands, and soil quality were used as criteria to develop land suitability scenarios. 40% of present USSE capacity has been developed on agricultural lands, and 84% of identified land suitable for future USSE development (∼140 GW potential) is agricultural. The USSE potential on non-agricultural land is 22.5 GW – just sufficient to accommodate the development of 21.6 GW, which is the estimated USSE capacity that will be required to achieve NYS’s 2030 goal of 70% renewable electricity. Thus, agricultural lands will be the prime target for future USSE development. Exploring the state-specific synergies for solar-agriculture colocation, preventing the spatially-concentrated development of USSE, and incentivizing the use of unproductive agricultural lands will help mitigate negative impacts of USSE development on agricultural lands.

Suggested Citation

  • Katkar, Venktesh V. & Sward, Jeffrey A. & Worsley, Alex & Zhang, K. Max, 2021. "Strategic land use analysis for solar energy development in New York State," Renewable Energy, Elsevier, vol. 173(C), pages 861-875.
    • Handle: RePEc:eee:renene:v:173:y:2021:i:c:p:861-875
    DOI: 10.1016/j.renene.2021.03.128
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    1. Doorga, Jay R.S. & Rughooputh, Soonil D.D.V. & Boojhawon, Ravindra, 2019. "Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: A case study in Mauritius," Renewable Energy, Elsevier, vol. 133(C), pages 1201-1219.
    2. Hitaj, Claudia & Suttles, Shellye, 2016. "Trends in U.S. Agriculture's Consumption and Production of Energy: Renewable Power, Shale Energy, and Cellulosic Biomass," Economic Information Bulletin 262140, United States Department of Agriculture, Economic Research Service.
    3. Anwarzai, Mohammad Abed & Nagasaka, Ken, 2017. "Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 150-160.
    4. Yushchenko, Alisa & de Bono, Andrea & Chatenoux, Bruno & Kumar Patel, Martin & Ray, Nicolas, 2018. "GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2088-2103.
    5. Palmer, Diane & Gottschalg, Ralph & Betts, Tom, 2019. "The future scope of large-scale solar in the UK: Site suitability and target analysis," Renewable Energy, Elsevier, vol. 133(C), pages 1136-1146.
    6. Semeraro, Teodoro & Pomes, Alessandro & Del Giudice, Cecilia & Negro, Danilo & Aretano, Roberta, 2018. "Planning ground based utility scale solar energy as green infrastructure to enhance ecosystem services," Energy Policy, Elsevier, vol. 117(C), pages 218-227.
    7. Yang, Qing & Huang, Tianyue & Wang, Saige & Li, Jiashuo & Dai, Shaoqing & Wright, Sebastian & Wang, Yuxuan & Peng, Huaiwu, 2019. "A GIS-based high spatial resolution assessment of large-scale PV generation potential in China," Applied Energy, Elsevier, vol. 247(C), pages 254-269.
    8. Alami Merrouni, Ahmed & Elwali Elalaoui, Fakhreddine & Mezrhab, Ahmed & Mezrhab, Abdelhamid & Ghennioui, Abdellatif, 2018. "Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco," Renewable Energy, Elsevier, vol. 119(C), pages 863-873.
    9. Jun, Dong & Tian-tian, Feng & Yi-sheng, Yang & Yu, Ma, 2014. "Macro-site selection of wind/solar hybrid power station based on ELECTRE-II," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 194-204.
    10. Brewer, Justin & Ames, Daniel P. & Solan, David & Lee, Randy & Carlisle, Juliet, 2015. "Using GIS analytics and social preference data to evaluate utility-scale solar power site suitability," Renewable Energy, Elsevier, vol. 81(C), pages 825-836.
    11. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    12. Sward, Jeffrey A. & Nilson, Roberta S. & Katkar, Venktesh V. & Stedman, Richard C. & Kay, David L. & Ifft, Jennifer E. & Zhang, K. Max, 2021. "Integrating social considerations in multicriteria decision analysis for utility-scale solar photovoltaic siting," Applied Energy, Elsevier, vol. 288(C).
    13. Sward, Jeffrey A. & Siff, Jackson & Gu, Jiajun & Zhang, K. Max, 2019. "Strategic planning for utility-scale solar photovoltaic development – Historical peak events revisited," Applied Energy, Elsevier, vol. 250(C), pages 1292-1301.
    14. Amaducci, Stefano & Yin, Xinyou & Colauzzi, Michele, 2018. "Agrivoltaic systems to optimise land use for electric energy production," Applied Energy, Elsevier, vol. 220(C), pages 545-561.
    15. Al Garni, Hassan Z. & Awasthi, Anjali, 2017. "Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia," Applied Energy, Elsevier, vol. 206(C), pages 1225-1240.
    16. Majumdar, Debaleena & Pasqualetti, Martin J., 2019. "Analysis of land availability for utility-scale power plants and assessment of solar photovoltaic development in the state of Arizona, USA," Renewable Energy, Elsevier, vol. 134(C), pages 1213-1231.
    17. Sun, Yan-wei & Hof, Angela & Wang, Run & Liu, Jian & Lin, Yan-jie & Yang, De-wei, 2013. "GIS-based approach for potential analysis of solar PV generation at the regional scale: A case study of Fujian Province," Energy Policy, Elsevier, vol. 58(C), pages 248-259.
    18. Ali, Shahid & Taweekun, Juntakan & Techato, Kuaanan & Waewsak, Jompob & Gyawali, Saroj, 2019. "GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand," Renewable Energy, Elsevier, vol. 132(C), pages 1360-1372.
    19. Giamalaki, Marina & Tsoutsos, Theocharis, 2019. "Sustainable siting of solar power installations in Mediterranean using a GIS/AHP approach," Renewable Energy, Elsevier, vol. 141(C), pages 64-75.
    20. Shiraishi, Kenji & Shirley, Rebekah G. & Kammen, Daniel M., 2019. "Geospatial multi-criteria analysis for identifying high priority clean energy investment opportunities: A case study on land-use conflict in Bangladesh," Applied Energy, Elsevier, vol. 235(C), pages 1457-1467.
    21. Deshmukh, Ranjit & Wu, Grace C. & Callaway, Duncan S. & Phadke, Amol, 2019. "Geospatial and techno-economic analysis of wind and solar resources in India," Renewable Energy, Elsevier, vol. 134(C), pages 947-960.
    22. Hernandez, R.R. & Easter, S.B. & Murphy-Mariscal, M.L. & Maestre, F.T. & Tavassoli, M. & Allen, E.B. & Barrows, C.W. & Belnap, J. & Ochoa-Hueso, R. & Ravi, S. & Allen, M.F., 2014. "Environmental impacts of utility-scale solar energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 766-779.
    23. Carlisle, Juliet E. & Kane, Stephanie L. & Solan, David & Bowman, Madelaine & Joe, Jeffrey C., 2015. "Public attitudes regarding large-scale solar energy development in the U.S," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 835-847.
    24. Sánchez-Lozano, Juan M. & Henggeler Antunes, Carlos & García-Cascales, M. Socorro & Dias, Luis C., 2014. "GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain," Renewable Energy, Elsevier, vol. 66(C), pages 478-494.
    25. Aly, Ahmed & Jensen, Steen Solvang & Pedersen, Anders Branth, 2017. "Solar power potential of Tanzania: Identifying CSP and PV hot spots through a GIS multicriteria decision making analysis," Renewable Energy, Elsevier, vol. 113(C), pages 159-175.
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