418
Views
4
CrossRef citations to date
0
Altmetric
Research Article

Modeling wind energy development barriers: implications for promoting green energy sector

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon

References

  • Agarwal, T., S. Verma, and A. Gaurh 2016. Issues and challenges of wind energy. In: International Conference of Electrical Electronic Optim Technik ICEEOT 2016, 03-05 March 2016. Chennai, India: IEEE; p. 67–32. doi:10.1109/ICEEOT.2016.7754761.
  • Ahmad, M., G. Jabeen, and Y. Wu. 2020. Heterogeneity of pollution haven/halo hypothesis and environmental kuznets curve hypothesis across development levels of Chinese provinces. Journal of Cleaner Production 285:124898. doi:10.1016/j.jclepro.2020.124898.
  • Ajayi, O.O. 2010. The potential for wind energy in Nigeria. Wind Enginnering 34 (3):303–11. doi:10.1260/0309-524X.34.3.303.
  • Ali, M. B., and A. Gasmi. 2017. Does ICT diffusion matter for corruption? An economic development perspective. Telematics and Informatics 34 (8):1445–53. doi:10.1016/j.tele.2017.06.008.
  • Bedi, H.P. 2019. “Lead the district into the light”: Solar energy infrastructure injustices in Kerala, India. Global Transitions 1:181–89. doi:10.1016/j.glt.2019.10.005.
  • Bento, N., and M. Fontes. 2019. Emergence of floating offshore wind energy: Technology and industry. Renewable and Sustainable Energy Reviews 99:66–82. doi:10.1016/j.rser.2018.09.035.
  • Burke, P.J., J. Widnyana, Z. Anjum, E. Aisbett, B. Resosudarmo, and K.G.H. Baldwin. 2019. Overcoming barriers to solar and wind energy adoption in two Asian giants: India and Indonesia. Energy Policy 132:1216–28. doi:10.1016/j.enpol.2019.05.055.
  • Caporale, D., V. Sangiorgio, A. Amodio, and C. De Lucia. 2020. Multi-Criteria and focus group analysis for social acceptance of wind energy. Energy Policy 140:111387. doi:10.1016/j.enpol.2020.111387.
  • C-B, L., H.Y. Chen, J. Zhu, J. Zuo, G. Zillante, and Z.Y. Zhao. 2015. Comprehensive assessment of flexibility of the wind power industry chain. Renewable Energy 74:18–26. doi:10.1016/j.renene.2014.07.045.
  • Chandra, Y.P., A. Singh, V. Kannojiya, and J.P. Kesari. 2019. Solar energy a path to India’s prosperity. Journal of the Institution of Engineers (India): Series C 100 (3):539–46. doi:10.1007/s40032-018-0454-6.
  • Chaurasiya, P.K., V. Warudkar, and S. Ahmed. 2019. Wind energy development and policy in India: A review. Energy Strategy Reviews 24:342–57. doi:10.1016/j.esr.2019.04.010.
  • Chinmoy, L., S. Iniyan, and R. Goic. 2019. Modeling wind power investments, policies and social benefits for deregulated electricity market – a review. Applied Energy 242:364–77. doi:10.1016/j.apenergy.2019.03.088.
  • Clayton, M.J. 1997. Delphi: A technique to harness expert opinion for critical decision-making tasks in education. Educational Psychology 17 (4):373–86. doi:10.1080/0144341970170401.
  • deCastro, M., S. Salvador, M. Gómez-Gesteira, X. Costoya, D. Carvalho, F.J. Sanz-Larruga, and L. Gimeno. 2019. Europe, China and the United States: Three different approaches to the development of offshore wind energy. Renewable and Sustainable Energy Reviews 109:55–70. doi:10.1016/j.rser.2019.04.025.
  • Delbecq, A.L., V. de Ven AH, and D.H. Gustafson. 1975. Group techniques for program planning : A guide to nominal group and delphi processes. ed. F. Scott, Illinois: Glen-view.
  • Delicado, A., M. Truninger, E. Figueiredo, L. Silva, and A. Horta. 2017. A blot on the landscape: Consensus and controversies on wind farms in rural Portugal. Research in Rural Sociology and Development 24:179–95.
  • Diógenes, J.R.F., J. Claro, J.C. Rodrigues, and M.V. Loureiro. 2020. Barriers to onshore wind energy implementation: A systematic review. Energy Research Social Science 60:101337.
  • Dong, C., Y. Qi, W. Dong, X. Lu, T. Liu, and S. Qian. 2018. Decomposing driving factors for wind curtailment under economic new normal in China. Applied Energy 217:178–88. doi:10.1016/j.apenergy.2018.01.040.
  • Duc Luong, N. 2015. A critical review on potential and current status of wind energy in Vietnam. Renewable and Sustainable Energy Reviews 43:440–48. doi:10.1016/j.rser.2014.11.060.
  • Edsand, H.E. 2017. Identifying barriers to wind energy diffusion in Colombia: A function analysis of the technological innovation system and the wider context. Technology in Society 49:1–15. doi:10.1016/j.techsoc.2017.01.002.
  • Elavarasan, R.M., S. Leoponraj, A. Dheeraj, M. Irfan, G. Gangaram Sundar, and G.K. Mahesh. 2021. PV-Diesel-Hydrogen fuel cell based grid connected configurations for an institutional building using BWM framework and cost optimization algorithm. Sustainable Energy Technologies and Assessments 43:100934. doi:10.1016/j.seta.2020.100934.
  • Fast, S., and W. Mabee. 2015. Place-Making and trust-building: The influence of policy on host community responses to wind farms. Energy Policy 81:27–37. doi:10.1016/j.enpol.2015.02.008.
  • Fast, S., W. Mabee, J. Baxter, T. Christidis, L. Driver, S. Hill, J.J. McMurtry, and M. Tomkow. 2016. Lessons learned from ontario wind energy disputes. Nature Energy 1 (2):1–7. doi:10.1038/nenergy.2015.28.
  • García-Álvarez, M.T., L. Cabeza-García, and I. Soares. 2017. Analysis of the promotion of onshore wind energy in the EU: Feed-in tariff or renewable portfolio standard? Renewable Energy 111:256–64. doi:10.1016/j.renene.2017.03.067.
  • Gebreslassie, M.G. 2021. Development and manufacturing of solar and wind energy technologies in Ethiopia: Challenges and policy implications. Renewable Energy 168:107–18. doi:10.1016/j.renene.2020.11.042.
  • Goel, M. 2016. Solar rooftop in India: Policies, challenges and outlook. Green Energy & Environment 1 (2):129–37. doi:10.1016/j.gee.2016.08.003.
  • González, J.S., and R. Lacal-Arántegui. 2016. A review of regulatory framework for wind energy in European Union countries: Current state and expected developments. Renewable and Sustainable Energy Reviews 56:588–602. doi:10.1016/j.rser.2015.11.091.
  • Govindan, K., and M. Shankar. 2016. Evaluating the essential barrier to off-shore wind energy – an Indian perspective. International Journal of Energy Sector Management 10 (2):266–82. doi:10.1108/IJESM-04-2015-0010.
  • Guler, E., S. Yerel Kandemir, E. Acikkalp, and M.H. Ahmadi. 2021. Evaluation of sustainable energy performance for OECD countries. Energy Sources, Part B: Economics, Planning, and Policy 16 (6):491–514. doi:10.1080/15567249.2021.1909673.
  • Hasson, F., S. Keeney, and H. McKenna. 2000. Research guidelines for the Delphi survey technique. Journal of Advanced Nursing 32 (4):1008–15.
  • Hayashi, D. 2018. Knowledge flow in low-carbon technology transfer: A case of India’s wind power industry. Energy Policy 123:104–16. doi:10.1016/j.enpol.2018.08.040.
  • Herrera, M.M., F. Cosenz, and I. Dyner. 2019. How to support energy policy coordination? Findings from the Brazilian wind industry. The Electricity Journal 32 (8):106636. doi:10.1016/j.tej.2019.106636.
  • Hevia-Koch, P., and J. Ladenburg. 2019. Where should wind energy be located? A review of preferences and visualisation approaches for wind turbine locations. Energy Research & Social Science 53:23–33. doi:10.1016/j.erss.2019.02.010.
  • Ho, L.W. 2016. Wind energy in Malaysia: Past, present and future. Renewable and Sustainable Energy Reviews 53:279–95. doi:10.1016/j.rser.2015.08.054.
  • Hohmann, E., R. Angelo, R. Arciero, B.R. Bach, B. Cole, M. Cote, J. Farr, J. Feller, B. Gelbhart, A. Gomoll, et al. 2020. Degenerative meniscus lesions: An expert consensus statement using the modified Delphi technique. Arthroscopy: The Journal of Arthroscopic & Related Surgery 36 (2):501–12. doi:10.1016/j.arthro.2019.08.014.
  • Hübner, G., J. Pohl, B. Hoen, J. Firestone, J. Rand, D. Elliott, and R. Haac. 2019. Monitoring annoyance and stress effects of wind turbines on nearby residents: A comparison of U.S. And European samples. Environment International 132:105090. doi:10.1016/j.envint.2019.105090.
  • Huesca-Pérez, M.E., C. Sheinbaum-Pardo, and J. Köppel. 2016. Social implications of siting wind energy in a disadvantaged region – the case of the Isthmus of Tehuantepec, Mexico. Renewable and Sustainable Energy Reviews 58:952–65. doi:10.1016/j.rser.2015.12.310.
  • IDFC. 2010. Barriers to development of renewable energy in India & proposed recommendations [Internet]. [place unknown]. http://www.idfc.com/pdf/publications/Discussion-paper-on-Renewable-Energy.pdf%5CnEnergy Advisory Board 4 12 2012 Barriers to development of renewable.pdf Advisory Board 4 12 2012 Barriers to development of renewable.pdf
  • Iglesias, G., P. Del Río, and D. Já. 2011. Policy analysis of authorisation procedures for wind energy deployment in Spain. Energy Policy 39 (7):4067–76. doi:10.1016/j.enpol.2011.03.033.
  • Ikram, M., R. Sroufe, and Q. Zhang. 2020. Prioritizing and overcoming barriers to integrated management system (IMS) implementation using AHP and G-TOPSIS. Journal of Cleaner Production 254:120121. doi:10.1016/j.jclepro.2020.120121.
  • Ikram, M., P. Zhou, S.A.A. Shah, and G.Q. Liu. 2019. Do environmental management systems help improve corporate sustainable development? Evidence from manufacturing companies in Pakistan. Journal of Cleaner Production 226:628–41. doi:10.1016/j.jclepro.2019.03.265.
  • IRENA. 2021. Renewable capacity statistics 2021. Abu Dhabi. Internet. https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2021/Apr/IRENA_RE_Capacity_Statistics_2021.pdf.
  • Irfan, M., R.M. Elavarasan, M. Ahmad, M. Mohsin, V. Dagar, and Y. Hao. 2022. Prioritizing and overcoming biomass energy barriers: Application of AHP and G-TOPSIS approaches. Technological Forecasting and Social Change 177:121524. doi:10.1016/j.techfore.2022.121524.
  • Irfan, M., Z.Y. Zhao, M. Ahmad, K. Batool, A. Jan, and M.C. Mukeshimana. 2019. Competitive assessment of Indian wind power industry: A five forces model. Journal of Renewable and Sustainable Energy 11 (6):063301. doi:10.1063/1.5116237.
  • Irfan, M., Z.Y. Zhao, M. Ahmad, and M.C. Mukeshimana. 2019. Critical factors influencing wind power industry: A diamond model based study of India. Energy Reports 5:1222–35. doi:10.1016/j.egyr.2019.08.068.
  • Irfan, M., Z.Y. Zhao, M. Ikram, N.G. Gilal, H. Li, and A. Rehman. 2020. Assessment of India’s energy dynamics: Prospects of solar energy. Journal of Renewable and Sustainable Energy 12 (5):053701. doi:10.1063/1.5140236.
  • Jangid, J., A.K. Bera, M. Joseph, V. Singh, T.P. Singh, B.K. Pradhan, and S. Das. 2016. Potential zones identification for harvesting wind energy resources in desert region of India – a multi criteria evaluation approach using remote sensing and GIS. Renewable and Sustainable Energy Reviews 65:1–10. doi:10.1016/j.rser.2016.06.078.
  • Javanmardi, E., and S. Liu. 2019. Exploring grey systems theory-based methods and applications in analyzing socio-economic systems. Sustainability 11 (15):4192. doi:10.3390/su11154192.
  • Jolly, S., P. Spodniak, and R.P.J.M. Raven. 2016. Institutional entrepreneurship in transforming energy systems towards sustainability: Wind energy in Finland and India. Energy Research & Social Science 17:102–18. doi:10.1016/j.erss.2016.04.002.
  • Kar, S.K., and A. Sharma. 2015. Wind power developments in India. Renewable and Sustainable Energy Reviews 48:264–75. doi:10.1016/j.rser.2015.03.095.
  • Keeley, A.R., and Y. Ikeda. 2017. Determinants of foreign direct investment in wind energy in developing countries. Journal of Cleaner Production 161:1451–58. doi:10.1016/j.jclepro.2017.05.106.
  • Keeley, A.R., and K. Matsumoto. 2018. Investors’ perspective on determinants of foreign direct investment in wind and solar energy in developing economies – Review and expert opinions. Journal of Cleaner Production 179:132–42. doi:10.1016/j.jclepro.2017.12.154.
  • Kulkarni, S.H., and T.R. Anil. 2018. Renewable Energy in India—Barriers to wind energy. Strategic Planning for Energy and the Environment 38 (2):40–69. doi:10.1080/10485236.2018.12027908.
  • Kumar, A., R. Ferdous, A. Luque-Ayala, C. McEwan, M. Power, B. Turner, and H. Bulkeley. 2019. Solar energy for all? Understanding the successes and shortfalls through a critical comparative assessment of Bangladesh Brazil, India, Mozambique, Sri Lanka and South Africa. Energy Research & Social Science 48:166–76. doi:10.1016/j.erss.2018.10.005.
  • Liu, S., J. Forrest, and Y. Yang 2011. A brief introduction to grey systems theory. In: Proceeding 2011 IEEE International Conference Grey System Intelligent Services GSIS’11 - Jt with 15th WOSC International Congress Cybernetics and System. Nanjing, China; p. 1–9.
  • Liu, S., Y. Yang, and J. Forrest. 2017. Grey data analysis: methods, models and applications. place unknown: Springer, Sing.
  • Li, B., X. Yuan, M. Chen, S. Bo, L. Xia, Y. Guo, S. Zhao, Z. Ma, and T. Wang. 2020. How to strive for balance of coastal wind energy development with waterbird conservation in the important coastal wetlands, a case study in the Chongming Islands of East China. Journal of Cleaner Production 263:121547. doi:10.1016/j.jclepro.2020.121547.
  • Lolla, S., S.B. Roy, and S. Chowdhury. 2015. Wind and solar energy resources in India. Energy Procedia 76:187–92. doi:10.1016/j.egypro.2015.07.895.
  • Łopucki, R., D. Klich, and S. Gielarek. 2017. Do terrestrial animals avoid areas close to turbines in functioning wind farms in agricultural landscapes? Environmental Monitoring and Assessment 189 (7):343. doi:10.1007/s10661-017-6018-z.
  • Lucena, J.D.A.Y., and K.Â.A. Lucena. 2019. Wind energy in Brazil: An overview and perspectives under the triple bottom line. Clean Energy 3 (2):69–84. doi:10.1093/ce/zkz001.
  • Luthra, S., S. Kumar, D. Garg, and A. Haleem. 2015. Barriers to renewable/sustainable energy technologies adoption: Indian perspective. Renewable and Sustainable Energy Reviews 41:762–76. doi:10.1016/j.rser.2014.08.077.
  • Mahdy, M., and A.B.S. Bahaj. 2018. Multi criteria decision analysis for offshore wind energy potential in Egypt. Renewable Energy 118:278–89. doi:10.1016/j.renene.2017.11.021.
  • Mahmoudi, A., S. Liu, S.A. Javed, and M. Abbasi. 2019. A novel method for solving linear programming with grey parameters. Journal of Intelligent & Fuzzy Systems 36 (1):161–72. doi:10.3233/JIFS-181071.
  • Maleki-Dizaji, P., N. Del Bufalo, M.R. Di Nucci, and M. Krug. 2020. Overcoming barriers to the community acceptance of wind energy: Lessons learnt from a comparative analysis of best practice cases across Europe. Sustainability 12 (9):3562. doi:10.3390/su12093562.
  • Maletič, D., M. Maletič, V. Lovrenčić, B. Al-Najjar, and B. Gomišček. 2014. An application of analytic hierarchy process (ahp) and sensitivity analysis for maintenance policy selection. Organizacija 47 (3):177–88. doi:10.2478/orga-2014-0016.
  • Manju, S., and N. Sagar. 2017. Progressing towards the development of sustainable energy: A critical review on the current status, applications, developmental barriers and prospects of solar photovoltaic systems in India. Renewable and Sustainable Energy Reviews 70:298–313. doi:10.1016/j.rser.2016.11.226.
  • Mardani, A., A. Jusoh, K.M.D. Nor, Z. Khalifah, N. Zakwan, and A. Valipour. 2015. Multiple criteria decision-making techniques and their applications - a review of the literature from 2000 to 2014. Economic Research Istraz 28 (1):516–71.
  • Martín, B., C. Perez-Bacalu, A. Onrubia, M. De Lucas, and M. Ferrer. 2018. Impact of wind farms on soaring bird populations at a migratory bottleneck. European Journal of Wildlife Research 64 (3):33. doi:10.1007/s10344-018-1192-z.
  • Miklian, J., and S. Carney. 2013. Corruption, justice and violence in democratic India. SAIS Review of International Affairs 33 (1):37–49. doi:10.1353/sais.2013.0011.
  • Mingyu, W., L. Shizhong, and W. Yibo. 2020. Overview of emergency management and disaster medicine in the context of COVID-19. Journal of Emergency Management and Disaster Communications 1 (1):89–94. doi:10.1142/S2689980920400059.
  • MNRE. 2010. DIREC. 2010, Report [Internet]. New Delhi. https://mnre.gov.in/img/documents/uploads/fafb7d5750d641228c13987ae62d8f3b.pdf
  • MNRE. 2021. Annual report 2020-21 [internet]. New Delhi. https://mnre.gov.in/img/documents/uploads/file_f-1618564141288.pdf
  • MNRE. 2022. MNRE: Year end review-2020 [Internet]. New Delhi. https://pib.gov.in/Pressreleaseshare.aspx?PRID=1685046
  • Mohan, A., and K. Topp. 2018. India’s energy future: Contested narratives of change. Energy Research & Social Science 44:75–82. doi:10.1016/j.erss.2018.04.040.
  • Moore, C.M. 1987. Group techniques for idea building [internet]. place unknown: Sage Publications, Inc. https://psycnet.apa.org/record/1987-97921-000.
  • MOSPI. 2020. Energy Statistics 2020 [Internet]. New Delhi. http://mospi.nic.in/sites/default/files/publication_reports/ES_2020_240420m.pdf
  • Mukeshimana, M.C., Z.Y. Zhao, M. Ahmad, and M. Irfan. 2021. Analysis on barriers to biogas dissemination in Rwanda: AHP approach. Renewable Energy 163:1127–37. doi:10.1016/j.renene.2020.09.051.
  • Nazir, M.S., N. Ali, M. Bilal, and H.M.N. Iqbal. 2020. Potential environmental impacts of wind energy development: A global perspective. Current Opinion in Environmental Science & Health 13:85–90. doi:10.1016/j.coesh.2020.01.002.
  • NF Da, S., L.P. Rosa, M.A.V. Freitas, and M.G. Pereira. 2013. Wind energy in Brazil: From the power sector’s expansion crisis model to the favorable environment. Renewable and Sustainable Energy Reviews 22:686–97. doi:10.1016/j.rser.2012.12.054.
  • Nordensvard, J., Y. Zhou, and X. Zhang. 2018. Innovation core, innovation semi-periphery and technology transfer: The case of wind energy patents. Energy Policy 120:213–27. doi:10.1016/j.enpol.2018.04.048.
  • Okoli, C., and S.D. Pawlowski. 2004. The Delphi method as a research tool: An example, design considerations and applications. Information & Management 42 (1):15–29. doi:10.1016/j.im.2003.11.002.
  • Ota, A., and M. Singh. 2018. Social issues in wind power projects in India. FIIB Business Review 7 (1):3–9. doi:10.1177/2319714518763397.
  • Ouedraogo, N.S. 2019. Opportunities, barriers and issues with renewable energy development in Africa: A comprehensible review. Current Sustainable Energy Reports 6 (2):52–60.
  • Phadke, A., W.Y. Park, and N. Abhyankar. 2019. Providing reliable and financially sustainable electricity access in India using super-efficient appliances. Energy Policy 132:1163–75. doi:10.1016/j.enpol.2019.06.015.
  • Plutshack, V., S. Sengupta, A. Sahay, and J.E. Viñuales. 2019. New and renewable energy social enterprises accessing government support: Findings from India. Energy Policy 132:367–78. doi:10.1016/j.enpol.2019.05.009.
  • Potić, I., T. Joksimović, U. Milinčić, D. Kićović, and M. Milinčić. 2021. Wind energy potential for the electricity production - Knjaževac municipality case study (Serbia). Energy Strategy Reviews 33:100589. doi:10.1016/j.esr.2020.100589.
  • Prakash, O. 2018. Wind energy potential, development and current trends in India: A review. International Journal of Ambient Energy 39 (5):521–32. doi:10.1080/01430750.2017.1303636.
  • Probst, B., V. Anatolitis, A. Kontoleon, and L.D. Anadón. 2020. The short-term costs of local content requirements in the Indian solar auctions. Nature Energy 5 (11):842–50. doi:10.1038/s41560-020-0677-7.
  • Qu, J., J. Cao, X. Wang, J. Tang, and J.O. Bukenya. 2017. Political connections, government subsidies and technical innovation of wind energy companies in China. Sustainability 9 (10):1812. doi:10.3390/su9101812.
  • Quitzow, R., J. Huenteler, and H. Asmussen. 2017. Development trajectories in China’s wind and solar energy industries: How technology-related differences shape the dynamics of industry localization and catching up. Journal of Cleaner Production 158:122–33.
  • Quyên, Đ.T.N. 2014. Developing university governance indicators and their weighting system using a modified delphi method. Procedia - Social and Behavioral Sciences 141:828–33. doi:10.1016/j.sbspro.2014.05.144.
  • Raina, G., and S. Sinha. 2019. Outlook on the Indian scenario of solar energy strategies: Policies and challenges. Energy Strategy Reviews 24:331–41. doi:10.1016/j.esr.2019.04.005.
  • Rani, P., A.R. Mishra, A. Mardani, F. Cavallaro, M. Alrasheedi, and A. Alrashidi. 2020. A novel approach to extended fuzzy TOPSIS based on new divergence measures for renewable energy sources selection. Journal of Cleaner Production 257:120352. doi:10.1016/j.jclepro.2020.120352.
  • Razzaq, A., T. Ajaz, J.C. Li, M. Irfan, and W. Suksatan. 2021. Investigating the asymmetric linkages between infrastructure development, green innovation, and consumption-based material footprint: Novel empirical estimations from highly resource-consuming economies. Resources Policy 74:102302. doi:10.1016/j.resourpol.2021.102302.
  • Razzaq, A., T. Fatima, and M. Murshed. 2021. Asymmetric effects of tourism development and green innovation on economic growth and carbon emissions in top 10 GDP countries. Journal of Environmental Planning and Management 1–30. doi:10.1080/09640568.2021.1990029.
  • Rehman, S., E. Rehman, I. Hussain, Z. Jianglin, and I. Ozsahin. 2021. Socioeconomic influence on cardiac mortality in the south asian region: New perspectives from grey modeling and G-TOPSIS. Journal of Healthcare Engineering 2021:6866246. doi:10.1155/2021/6866246.
  • Ren, C., N. An, J. Wang, L. Li, B. Hu, and D. Shang. 2014. Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting. Knowledge-Based Systems 56:226–39. doi:10.1016/j.knosys.2013.11.015.
  • Revez, A., N. Dunphy, C. Harris, G. Mullally, B. Lennon, and C. Gaffney. 2020. Beyond forecasting: Using a modified Delphi method to build upon participatory action research in developing principles for a just and Iinclusive energy transition. International Journal Quality Methods 19:1–12.
  • Richards, G., B. Noble, and K. Belcher. 2012. Barriers to renewable energy development: A case study of large-scale wind energy in Saskatchewan, Canada. Energy Policy 42:691–98. doi:10.1016/j.enpol.2011.12.049.
  • Ru, P., Q. Zhi, F. Zhang, X. Zhong, J. Li, and J. Su. 2012. Behind the development of technology: The transition of innovation modes in China’s wind turbine manufacturing industry. Energy Policy 43:58–69. doi:10.1016/j.enpol.2011.12.025.
  • Ryberg, D.S., D.G. Caglayan, S. Schmitt, J. Linßen, D. Stolten, and M. Robinius. 2019. The future of European onshore wind energy potential: Detailed distribution and simulation of advanced turbine designs. Energy 182:1222–38. doi:10.1016/j.energy.2019.06.052.
  • Saaty, T.L. 1977. A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology 15 (3):234–81. doi:10.1016/0022-2496(77)90033-5.
  • Saaty, T.L. 1990. How to make a decision: The analytic hierarchy process. European Journal of Operational Research 48 (1):9–26. doi:10.1016/0377-2217(90)90057-I.
  • Sadeghi, M., S.H. Razavi, and N. Saberi. 2013. Application of grey TOPSIS in preference ordering of action plans in balanced scorecard and strategy map. Inform 24 (4):619–35.
  • Sadovskaia, K., D. Bogdanov, S. Honkapuro, and C. Breyer. 2019. Power transmission and distribution losses – a model based on available empirical data and future trends for all countries globally. International Journal of Electrical Power & Energy Systems 107:98–109. doi:10.1016/j.ijepes.2018.11.012.
  • Sahu, B.K. 2018. Wind energy developments and policies in China: A short review. Renewable and Sustainable Energy Reviews 81:1393–405. doi:10.1016/j.rser.2017.05.183.
  • Scala, S., and R. McGrath. 1993. Advantages and disadvantages of electronic data interchange an industry perspective. Information & Management 25 (2):85–91. doi:10.1016/0378-7206(93)90050-4.
  • Schäffer, B., R. Pieren, U. Wissen Hayek, N. Biver, and A. Grêt-Regamey. 2019. Influence of visibility of wind farms on noise annoyance – a laboratory experiment with audio-visual simulations. Landscape and Urban Planning 186:67–78. doi:10.1016/j.landurbplan.2019.01.014.
  • Schumacher, K., and Z. Yang. 2018. The determinants of wind energy growth in the United States: Drivers and barriers to state-level development. Renewable and Sustainable Energy Reviews 97:1–13. doi:10.1016/j.rser.2018.08.017.
  • Shammugam, S., E. Gervais, T. Schlegl, and A. Rathgeber. 2019. Raw metal needs and supply risks for the development of wind energy in Germany until 2050. Journal of Cleaner Production 221:738–52. doi:10.1016/j.jclepro.2019.02.223.
  • Sharma, S., and S. Sinha. 2019. Indian wind energy & its development-policies-barriers: An overview. Environmental and Sustainability Indicators 1-2:100003. doi:10.1016/j.indic.2019.100003.
  • Shidore, S., and J.W. Busby. 2019. What explains India’s embrace of solar? State-led energy transition in a developmental polity. Energy Policy 129:1179–89. doi:10.1016/j.enpol.2019.02.032.
  • Shukla, A.K., K. Sudhakar, P. Baredar, and R. Mamat. 2018. Solar PV and BIPV system: Barrier, challenges and policy recommendation in India. Renewable and Sustainable Energy Reviews 82:3314–22. doi:10.1016/j.rser.2017.10.013.
  • Stokke, B.G., T. Nygård, U. Falkdalen, H.C. Pedersen, and R. May. 2020. Effect of tower base painting on willow ptarmigan collision rates with wind turbines. Ecology and Evolution 10:5670–79.
  • Sun, Y., A. Anwar, A. Razzaq, X. Liang, and M. Siddique. 2022. Asymmetric role of renewable energy, green innovation, and globalization in deriving environmental sustainability: Evidence from top-10 polluted countries. Renewable Energy 185:280–90. doi:10.1016/j.renene.2021.12.038.
  • Tang, A., J.E. Taylor, and A. Mahalingam. 2013. Strategic structure matrix: A framework for explaining the impact of superstructure organizations on the diffusion of wind energy infrastructure. Energy Policy 63:69–80.
  • Thakur, D., and N. Mithulananthan. 2010. Wind energy in thailand to enhance energy security: Potential, status and barriers. International Energy Journal 11 (4):203–12.
  • Thapar, S., S. Sharma, and A. Verma. 2018. Key determinants of wind energy growth in India: Analysis of policy and non-policy factors. Energy Policy 122:622–38. doi:10.1016/j.enpol.2018.08.004.
  • Tiwari, R.K., and R. Kumar. 2021. G-TOPSIS: A cloud service selection framework using Gaussian TOPSIS for rank reversal problem. place unknown: Springer US.
  • Uhl, N.P. 1983. Using the Delphi technique in institutional planning. New Directions for Institutional Research 1983 (37):81–94. doi:10.1002/ir.37019833709.
  • Vallecha, H., D. Bhattacharjee, J.K. Osiri, and P. Bhola. 2020. Evaluation of barriers and enablers through integrative multicriteria decision mapping: Developing sustainable community energy in Indian context. Renewable and Sustainable Energy Reviews 138:110565. doi:10.1016/j.rser.2020.110565.
  • Wang, X., P. Guo, and X. Huang. 2011. A review of wind power forecasting models. Energy Procedia 12:770–78. doi:10.1016/j.egypro.2011.10.103.
  • Wang, Y., C. Xu, and P. Yuan. 2021. Is there a grid-connected effect of grid infrastructure on renewable energy generation? Evidence from China’s upgrading transmission lines. Energy Environ 33(5): 975–995. doi:10.1177/0958305X211031015.
  • Welch, J.B., and A. Venkateswaran. 2009. The dual sustainability of wind energy. Renewable and Sustainable Energy Reviews 13 (5):1121–26. doi:10.1016/j.rser.2008.05.001.
  • Wong, S.-F. 2005. Obliging institutions and industry evolution: A comparative study of the German and UK wind energy industries. Industry & Innovation 12 (1):117–45. doi:10.1080/1366271042000339085.
  • Wu, Y.K., and J.S. Hong 2007. A literature review of wind forecasting technology in the world. In: 2007 IEEE Lausanne POWERTECH, Proceedings, Lausanne, Switzerland; p. 504–09.
  • Xia, F., X. Lu, and F. Song. 2020. The role of feed-in tariff in the curtailment of wind power in China. Energy Economics 86:104661. doi:10.1016/j.eneco.2019.104661.
  • Yadav, P., P.J. Davies, and D. Palit. 2019. Distributed solar photovoltaics landscape in Uttar Pradesh, India: Lessons for transition to decentralised rural electrification. Energy Strategy Reviews 26:100392. doi:10.1016/j.esr.2019.100392.
  • Zárate-Toledo, E., R. Patiño, and J. Fraga. 2019. Justice, social exclusion and indigenous opposition: A case study of wind energy development on the Isthmus of Tehuantepec, Mexico. Energy Research & Social Science 54:1–11. doi:10.1016/j.erss.2019.03.004.
  • Zarei, T., K. Morozovska, T. Laneryd, P. Hilber, M. Wihlén, and O. Hansson. 2019. Reliability considerations and economic benefits of dynamic transformer rating for wind energy integration. International Journal of Electrical Power & Energy Systems 106:598–606. doi:10.1016/j.ijepes.2018.09.038.
  • Zhou, S., and P. Yang. 2020. Risk management in distributed wind energy implementing Analytic Hierarchy Process. Renewable Energy 150:616–23. doi:10.1016/j.renene.2019.12.125.
  • Zhou, Y., B. Zhang, J. Zou, J. Bi, and K. Wang. 2012. Joint R&D in low-carbon technology development in China: A case study of the wind-turbine manufacturing industry. Energy Policy 46:100–08. doi:10.1016/j.enpol.2012.03.037.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.