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GIS-based weighted overlay model for wind and solar farm locating in Sri Lanka

  • Advances in Science, Engineering and Technology in Combating Pollution for a Sustainable Future
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Abstract

With regard to wind and solar energy, research has shown a clear discrepancy between the amount of energy currently being used with the existing potential. The present research has attempted to develop a geographic information systems (GIS) based weighted overlay model to identify potential locations for the development of wind and solar farms in Sri Lanka, which are rapidly advancing renewable energy resources globally. Four major land-use types were considered for the model development as least productive land areas to establish wind and solar farms, namely, barren lands, sand areas, open forests, and scrublands. Nine and seven criteria were identified for the wind and solar farm siting respectively, and the relative weights for each criterion were obtained through focused group discussions. The weighted overlay model was used to locate suitable areas and higher the values generally indicate that a location is more suitable. The outcome of the weighted overlay model shows that for the wind farm locating, 141 km2 of highly suitable lands available accounts for 3% of the total land area of Sri Lanka. Furthermore, the model results indicated a total area of 99 km2 as highly suitable for solar power generation. Central, Sabaragamuwa, Uva, and Northern provinces were found to be the most suitable for wind farm locating and Eastern, Southern, and Northern provinces we identified as highly suitable for the solar farm locating. The model validation performed by overlaying the results with the existing solar and wind farm map of Sri Lanka indicated that the highly suitable, moderately suitable, and marginally suitable lands identified by the weighted overlay lied within 1 km radius of the existing wind and solar power plants. Thus, it can be concluded that GIS-based weighted overlay model can serve as a primary screening tool to shortlist the optimum land areas to locate future solar and wind farms in any selected geographical location.

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(Source: https://www.luppd.gov.lk/)

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(Source: https://solargis.com/)

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Abas N, Kalair A, Khan N (2015) Review of fossil fuels and future energy technologies. Futures 69:31–49

    Google Scholar 

  • Abbas SZ, Kousar A, Razzaq S, Saeed A, Alam M, Mahmood A (2018) Energy management in South Asia. Energ Strat Rev 21:25–34

    Google Scholar 

  • Adedeji PA, Akinlabi SA, Madushele N, Olatunji OO (2021) Hybrid neurofuzzy wind power forecast and wind turbine location for embedded generation. Int J Energy Res 45:413–428

    Google Scholar 

  • Agyekum EB (2020) Energy poverty in energy rich Ghana: a SWOT analytical approach for the development of Ghana’s renewable energy. Sustain Energy Technol Assess 40

    Google Scholar 

  • Aktas A, Kabak M (2016) A model proposal for locating wind turbines. Procedia Comput Sci 102:426–433

    Google Scholar 

  • Alam F, Saleque K, Alam Q, Mustary I, Chowdhury H, Jazar R (2019) Dependence on energy in South Asia and the need for a regional solution. Energy Procedia 160:26–33

    Google Scholar 

  • Alola AA, Akadiri SS, Usman O (2021) Domestic material consumption and greenhouse gas emissions in the EU-28 countries: implications for environmental sustainability targets. Sustain Dev 29:388–397

    Google Scholar 

  • Amarasinghe A, Perera E (2021) Modeling predictive suitability to determine potential areas for establishing wind power plants in Sri Lanka. Model Earth Syst Environ 7:443–454

    Google Scholar 

  • Awawdeh MM, Elmughrabi MA, Atallah MY (2018) Landslide susceptibility mapping using GIS and weighted overlay method: a case study from North Jordan. Environ Earth Sci 77:1–15

    Google Scholar 

  • Ayodele TR, Ogunjuyigbe A, Odigie O, Munda JL (2018) A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: the case study of Nigeria. Appl Energy 228:1853–1869

    Google Scholar 

  • Bardhan R, Debnath R, Jana A (2019) Evolution of sustainable energy policies in India since 1947: a review. Wiley Interdiscip Rev: Energy Environ 8

    Google Scholar 

  • Barreto RA (2018) Fossil fuels, alternative energy and economic growth. Econ Model 75:196–220

    Google Scholar 

  • Baydyk T, Kussul E, Wunsch Ii DC (2019) Renewable energy: solar, wind, and others. In: Baydyk T, Kussul E, Wunsch Ii DC (eds) Intelligent automation in renewable energy. Springer International Publishing, Cham, p 1–11

  • Bhattacharya S (2019) Geotechnical site investigation and soil behavior under cyclic loading design of foundations for offshore wind turbines. John Wiley & Sons, p 147–189

  • Bilgilioglu SS, Gezgin C, Orhan O, Karakus P (2022) A GIS-based multi-criteria decision-making method for the selection of potential municipal solid waste disposal sites in Mersin, Turkey. Environ Sci Pollut Res 29:5313–5329

    Google Scholar 

  • Board CE (2020) Impact of perceived ease of use, awareness and perceived cost on intention to use solar energy technology in Sri Lanka. J Int Bus Manag 3:01–13

    Google Scholar 

  • Cengiz T, Akbulak C (2009) Application of analytical hierarchy process and geographic information systems in land-use suitability evaluation: a case study of Dümrek village (Çanakkale, Turkey). Int J Sustain Dev World Ecol 16:286–294

    Google Scholar 

  • Cevallos-Sierra J, Ramos-Martin J (2018) Spatial assessment of the potential of renewable energy: the case of Ecuador. Renew Sustain Energy Rev 81:1154–1165

    Google Scholar 

  • Chamara SR, Beneragama C (2020) Agrivoltaic systems and its potential to optimize agricultural land use for energy production in Sri Lanka: a review. J Solar Energy Res 5:417–431

    Google Scholar 

  • Chamundeswari V, Niraimathi R, Shanthi M, Subahani A (2021) Renewable energy technologies. John Wiley & Sons, p 1–18

  • Charan VS, Naga Jyothi B, Saha R, Wankhede T, Das I, Venkatesh J (2020) An integrated geohydrology and geomorphology based subsurface solid modelling for site suitability of artificial groundwater recharge: Bhalki micro-watershed, Karnataka. J Geol Soc India 96:458–466

    Google Scholar 

  • Chavan DS, Karandikar P, Pande AK, Kumar S. Assessment of flicker owing to turbulence in a wind turbine placed on a hill using wind tunnel. 2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014], 2014. IEEE, 560–566.

  • Dai K, Bergot A, Liang C, Xiang W-N, Huang Z (2015) Environmental issues associated with wind energy–a review. Renew Energy 75:911–921

    Google Scholar 

  • De Silva KPSD (2020) Opportunities and challenges of solar energy application in energy sector of Sri Lanka. Bull Korea Photovoltaic Soc 6:45–55

    Google Scholar 

  • Dell’Ovo M, Capolongo S, Oppio A (2018) Combining spatial analysis with MCDA for the siting of healthcare facilities. Land Use Policy 76:634–644

    Google Scholar 

  • Elliott D, Schwartz M, Scott G, Haymes S, Heimiller D, George R (2003) Wind energy resource atlas of Sri Lanka and the Maldives. National Renewable Energy Lab.(NREL), Golden, CO (United States)

  • Everaert J, Stienen EWM (2007) Impact of wind turbines on birds in Zeebrugge (Belgium). Biodivers Conserv 16(12):3345–3359. https://doi.org/10.1007/s10531-006-9082-1

    Article  Google Scholar 

  • FAO (1981) A framework for land evaluation, Rome, FAO AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS

  • Feng Y, Lin H, Ho SL, Yan J, Dong J, Fang S, Huang Y (2015) Overview of wind power generation in China: status and development. Renew Sustain Energy Rev 50:847–858

    Google Scholar 

  • Fernando G, Sangasumana VP, Edussuriya C (2015) A GIS model for site selection of industrial zones in Sri Lanka. Int J Sci Eng Res 6:172–175

    Google Scholar 

  • Fishman T, Graedel T (2019) Impact of the establishment of US offshore wind power on neodymium flows. Nat Sustain 2:332–338

    Google Scholar 

  • Genç MS (2021) Determination of the most appropriate site selection of wind power plants based Geographic Information System and Multi-Criteria Decision-Making approach in Develi, Turkey. International Journal of Sustainable Energy Planning and Management 30. https://doi.org/10.5278/ijsepm.6242

  • Georgiou A, Skarlatos D (2016) Optimal site selection for sitting a solar park using multi-criteria decision analysis and geographical information systems. Geosci Instrum Method Data Syst 5:321–332

    Google Scholar 

  • Ghobadi M, Nasri M, Ahmadipari M (2021) Land suitability assessment (LSA) for aquaculture site selection via an integrated GIS-DANP multi-criteria method; a case study of lorestan province. Iran Aquacult 530

    Google Scholar 

  • Gillingham K, Stock JH (2018) The cost of reducing greenhouse gas emissions. J Econ Perspect 32:53–72

    Google Scholar 

  • Gorjian S, Sharon H, Ebadi H, Kant K, Scavo FB, Tina GM (2021) Recent technical advancements, economics and environmental impacts of floating photovoltaic solar energy conversion systems. J Clean Prod 278

    Google Scholar 

  • Hayat MB, Ali D, Monyake KC, Alagha L, Ahmed N (2019) Solar energy—a look into power generation, challenges, and a solar-powered future. Int J Energy Res 43:1049–1067

    Google Scholar 

  • Herbert GJ, Iniyan S, Sreevalsan E, Rajapandian S (2007) A review of wind energy technologies. Renew Sustain Energy Rev 11:1117–1145

    Google Scholar 

  • Hinrichs RA, Kleinbach MH (2012) Energy: its use and the environment, Cengage Learning

  • Hossen B, Yabar H, Mizunoya T (2021) Land suitability assessment for pulse (green gram) production through remote sensing, GIS and multicriteria analysis in the coastal region of Bangladesh. Sustainability 13:12360

    Google Scholar 

  • Hyvärinen A (2018) Wind turbines over a hilly terrain: performance and wake evolution. (Licentiate thesis, comprehensive summary), KTH Royal Institute of Technology, Stockholm. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-221675 DiVA database

  • Igwemezie V, Mehmanparast A, Kolios A (2019) Current trend in offshore wind energy sector and material requirements for fatigue resistance improvement in large wind turbine support structures–a review. Renew Sustain Energy Rev 101:181–196

    Google Scholar 

  • Jamshed A, Saleem A, Javed S, Riffat M (2018) Site suitability analysis for developing wind farms in Pakistan: a GIS-based multi-criteria modeling approach. Sci Technol Dev 37:195–201

    Google Scholar 

  • Kaliraj S, Chandrasekar N, Magesh N (2015) Evaluation of multiple environmental factors for site-specific groundwater recharge structures in the Vaigai River upper basin, Tamil Nadu, India, using GIS-based weighted overlay analysis. Environ Earth Sci 74:4355–4380

    CAS  Google Scholar 

  • Katsaprakakis DA, Papadakis N, Ntintakis I (2021) A comprehensive analysis of wind turbine blade damage. Energies 14:5974

    Google Scholar 

  • Kensche CW (2006) Fatigue of composites for wind turbines. Int J Fatigue 28:1363–1374

    Google Scholar 

  • Khan K, Salek MA (2019) Solar photovoltaic (SPV) conversion: a brief study. IJARIIE 5:187–204

    Google Scholar 

  • Koc A, Turk S, Şahin G (2019) Multi-criteria of wind-solar site selection problem using a GIS-AHP-based approach with an application in Igdir Province/Turkey. Environ Sci Pollut Res 26:32298–32310

    CAS  Google Scholar 

  • Kumar Y, Ringenberg J, Depuru SS, Devabhaktuni VK, Lee JW, Nikolaidis E, Andersen B, Afjeh A (2016) Wind energy: trends and enabling technologies. Renew Sustain Energy Rev 53:209–224

    Google Scholar 

  • Kumari TKNK, Wijesekera NTS (2017) A raster GIS model for water supply tower and source option prioritisation in community based water supply schemes at Attanagalla, Sri Lanka. UMCSAWM Water Conference

  • Liu J (2019) China's renewable energy law and policy: a critical review. Renew Sustain Energy Rev 99:212–219

    Google Scholar 

  • Macintosh JA (1993) Focus groups in distance nursing education. J Adv Nurs 18:1981–1985

    CAS  Google Scholar 

  • Mahmoud M, Ramadan M, Olabi A-G, Pullen K, Naher S (2020) A review of mechanical energy storage systems combined with wind and solar applications. Energy Convers Manage 210

    Google Scholar 

  • Majid M (2020) Renewable energy for sustainable development in India: current status, future prospects, challenges, employment, and investment opportunities. Energy, Sustainability and Society 10:1–36

    Google Scholar 

  • Malczewski J (2004) GIS-based land-use suitability analysis: a critical overview. Prog Plan 62:3–65

    Google Scholar 

  • Mamat R, Sani MSM, Khoerunnisa F, Kadarohman A (2019) Target and demand for renewable energy across 10 ASEAN countries by 2040. Electr J 32

    Google Scholar 

  • Marshad M (2021) Renewable energy and challenges to overcome the upcoming power crisis. (Vol. 37): General Sir John Kotelawala Defence University

  • Martinot E, Chaurey A, Lew D, Moreira JR, Wamukonya N (2002) Renewable energy markets in developing countries. Annu Rev Energy Env 27:309–348

    Google Scholar 

  • Masden EA, Haydon DT, Fox AD, Furness RW, Bullman R, Desholm M (2009) Barriers to movement: impacts of wind farms on migrating birds. ICES J Mar Sci 66:746–753

    Google Scholar 

  • McWilliam M, van Kooten G, Crawford C (2012) A method for optimizing the location of wind farms. Renew Energy 48:287–299

    Google Scholar 

  • Miller A, Li R (2014) A geospatial approach for prioritizing wind farm development in Northeast Nebraska, USA. ISPRS Int J Geo Inf 3:968–979

    Google Scholar 

  • Nanayakkara NWKVV, Perera BAKS, Illankoon IMCS (2022) On-site renewable energy for industrial buildings in Sri Lanka: a life-cycle cost analysis. Intelligent Buildings International 14(4):499–516. https://doi.org/10.1080/17508975.2021.1938505

    Article  Google Scholar 

  • Nandy D (2019) Energy security and economic growth in South Asia: an alternative policy option. In: Das R (eds) Handbook of research on economic and political implications of green trading and energy use. IGI Global, p 393–408. https://doi.org/10.4018/978-1-5225-8547-3.ch022

  • Narayana M, Witharana S (2012) Adaptive prediction of power fluctuations from a wind turbine at Kalpitiya area in Sri Lanka. In: 2012 IEEE 6th International Conference on Information and Automation for Sustainability. IEEE, Beijing, China, p 262–265

  • Noorollahi E, Fadai D, AkbarpourShirazi M, Ghodsipour SH (2016) Land suitability analysis for solar farms exploitation using GIS and fuzzy analytic hierarchy process (FAHP)—a case study of Iran. Energies 9:643

    Google Scholar 

  • Nyumba TO, Wilson K, Derrick CJ, Mukherjee N (2018) The use of focus group discussion methodology: insights from two decades of application in conservation. Methods Ecol Evol 9:20–32

    Google Scholar 

  • Panagoda P, Weerasinghe V (2019) A potential habitat corridor for Western Purple-faced Langur between Forest Reserves in Sri Lanka: GIS as a tool in connectivity modelling. Acta Ecol Sin 39:194–201

    Google Scholar 

  • Pao LY, Johnson KE (2009) A tutorial on the dynamics and control of wind turbines and wind farms. 2009 American Control Conference. IEEE, p 2076–2089

  • Peiris AT, Jayasinghe J, Rathnayake U (2021) Forecasting wind power generation using artificial neural network: “Pawan Danawi”—a case study from Sri Lanka. J Electr Comput Eng 2021:5577547. https://doi.org/10.1155/2021/5577547

  • Premasiri HR, Dahanayake T (2018) Development of GIS based model for locating sustainable construction aggregate mining sites: case study from Sri Lanka. Proceedings of the Asian Conference on Remote Sensing

  • Puntsag G, Kristjánsdóttir S, Ingólfsdóttir B (2014) Land suitability analysis for urban and agricultural land using GIS: case study in Hvita to Hvita. United Nations University Land Restoration Training Programme, Iceland

    Google Scholar 

  • Rahman A, Farrok O, Haque MM (2022) Environmental impact of renewable energy source based electrical power plants: solar, wind, hydroelectric, biomass, geothermal, tidal, ocean, and osmotic. Renew Sustain Energy Rev 161

    Google Scholar 

  • Rajapaksha K, Perera K (2016) Wind speed analysis and energy calculation based on mixture distributions in Narakkalliya, Sri Lanka. J Nat Sci Found Sri Lanka 44(4):409–416

    Google Scholar 

  • Rediske G, Burin H, Rigo P, Rosa C, Michels L, Siluk J (2021) Wind power plant site selection: a systematic review. Renew Sustain Energy Rev 148

    Google Scholar 

  • Roehrkasten S (2015) Global governance on renewable energy. Global Governance on Renewable Energy. Springer

  • Sadeghi M, Karimi M (2017) GIS-based solar and wind turbine site selection using multi-criteria analysis: case study Tehran, Iran. Int Arch Photogramm Remote Sens Spat Inf Sci 42:469–476

    Google Scholar 

  • Santosh R, Arunkumar T, Velraj R, Kumaresan G (2019) Technological advancements in solar energy driven humidification-dehumidification desalination systems-a review. J Clean Prod 207:826–845

    Google Scholar 

  • Saraswat S, Digalwar AK, Yadav S, Kumar G (2021) MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India. Renew Energy 169:865–884

    Google Scholar 

  • Sarkar B, Das P, Islam N, Basak A, Debnath M, Roy R (2021) Land suitability analysis for paddy crop using GIS-based Fuzzy-AHP (F-AHP) method in Koch Bihar district, West Bengal. Geocarto International 1–27. https://doi.org/10.1080/10106049.2021.2007299

  • Sayanthan S, Kannan N (2017) Renewable energy resource of Sri Lanka! A review. Int J Environ Agric Res 3(4):80–85

    Google Scholar 

  • Shao M, Han Z, Sun J, Xiao C, Zhang S, Zhao Y (2020) A review of multi-criteria decision making applications for renewable energy site selection. Renew Energy 157:377–403

    Google Scholar 

  • Sharma GD, Shah MI, Shahzad U, Jain M, Chopra R (2021) Exploring the nexus between agriculture and greenhouse gas emissions in BIMSTEC region: the role of renewable energy and human capital as moderators. J Environ Manage 297

    Google Scholar 

  • Shit PK, Bhunia GS, Maiti R (2016) Potential landslide susceptibility mapping using weighted overlay model (WOM). Model Earth Syst Environ 2:1–10

    Google Scholar 

  • Shukla AK, Sudhakar K, Baredar P (2017) Renewable energy resources in South Asian countries: challenges, policy and recommendations. Resource-Efficient Technol 3:342–346

    Google Scholar 

  • Singer S, Denruyter J-P, Yener D (2017) The energy report: 100% renewable energy by 2050. Towards 100% renewable energy. Springer

  • Spyridonidou S, Vagiona DG (2020) Systematic review of site-selection processes in onshore and offshore wind energy research. Energies 13(22):5906

    Google Scholar 

  • Sri Lanka Sustainable Energy Authority (2016) Energy consumption benchmark analysis. https://www.energy.gov.lk/images/energy-management/energy-consumption-benchmarkanalysis.pdf. Accessed 19 Jan 2022

  • Sugathapala TM, Boteju S, Withanage PB, Wijewardane S (2020) Aerodynamic modeling of simplified wind turbine rotors targeting small-scale applications in Sri Lanka. Energy Sustain Dev 59:71–82

    Google Scholar 

  • Therkildsen OR, Balsby TJ, Kjeldsen JP, Nielsen RD, Bladt J, Fox AD (2021) Changes in flight paths of large-bodied birds after construction of large terrestrial wind turbines. J Environ Manage 290

    Google Scholar 

  • Tian W, Zheng K, Hu H (2021) Investigation of the wake propagation behind wind turbines over hilly terrain with different slope gradients. J Wind Eng Ind Aerodyn 215

    Google Scholar 

  • Ullah K, Mansourian A (2014) Evaluation of land suitability for urban land-use planning: case study Dhaka City. Transactions in GIS 20(1):20–37. https://doi.org/10.1111/tgis.12137

    Article  Google Scholar 

  • Vasylieva T, Lyulyov O, Bilan Y, Streimikiene D (2019) Sustainable economic development and greenhouse gas emissions: the dynamic impact of renewable energy consumption, GDP, and corruption. Energies 12:3289

    Google Scholar 

  • VSW L (2015) Recommendations for distances of wind turbines to important areas for birds as well as breeding sites of selected bird species (as at April 2015). Working Group of German State Bird Conservancies

  • Whiting K, Carmona LG, Sousa T (2017) A review of the use of exergy to evaluate the sustainability of fossil fuels and non-fuel mineral depletion. Renew Sustain Energy Rev 76:202–211

    CAS  Google Scholar 

  • Wijesena G, Amarasinghe A (2018) Solar energy and its role in Sri Lanka. Int J Eng Trends Technol 65:141–148

    Google Scholar 

  • Withanaarachchi A, Nanayakkara L, Pushpakumara C (2015) Mitigating climate change via non-conventional renewable energy: case of Sri Lanka. J Clean Energy Technol 3:372–377

    Google Scholar 

  • WWW.PRESIDENTSOFFICE.GOV.LK (2020) 70% of electricity demand will be generated using renewable energy by 2030 [Online]. Available: https://www.presidentsoffice.gov.lk/index.php/2020/09/14/70-of-electricity-demand-will-be-generated-using-renewable-energy-by-2030/ [Accessed 10th January 2021]

  • Xu X, Wei Z, Ji Q, Wang C, Gao G (2019) Global renewable energy development: Influencing factors, trend predictions and countermeasures. Resour Policy 63

    Google Scholar 

  • Xu Y, Li Y, Zheng L, Cui L, Li S, Li W, Cai Y (2020) Site selection of wind farms using GIS and multi-criteria decision making method in Wafangdian. China Energy 207

    Google Scholar 

  • Yaakoubi A, Amhaimar L, Attari K, Harrak M, Halaoui M, Asselman A (2019) Non-linear and intelligent maximum power point tracking strategies for small size wind turbines: performance analysis and comparison. Energy Rep 5:545–554

    Google Scholar 

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Acknowledgements

The authors would like to acknowledge Sustainable Energy Authority (SEA), Sri Lanka, for the knowledge, resources, and support extended toward this study.

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Authors and Affiliations

  1. Department of Forestry and Environmental Science, University of Sri Jayewardenepura, Nugegoda, Sri Lanka

    Chathurika Kahatapitiya & Varuni Maheshika Jayasooriya

  2. Institute for Sustainable Industries & Liveable Cities, College of Engineering and Science, Victoria University, Melbourne, Australia

    Shobha Muthukumaran

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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Chathukika Kahatapitiya. The methodology and research design was formulated by Varuni Jayasooriya and Shobha Muthukumaran. The first draft of the manuscript was written by Varuni Jayasooriya and Chathurika Kahatapitiya. All authors read and approved the final manuscript.

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Kahatapitiya, C., Jayasooriya, V.M. & Muthukumaran, S. GIS-based weighted overlay model for wind and solar farm locating in Sri Lanka. Environ Sci Pollut Res 30, 98947–98965 (2023). https://doi.org/10.1007/s11356-022-24595-0

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