Abstract
Energy consumption is on the increase as a result of the growing population of India. Current conventional energy sources do not have an appropriate amount to meet energy demand. Economical and renewable energy alternative solutions must also be considered to satisfy this need. Renewable energies can be seen as a solution to this rising need for electricity. Although the selection of alternative renewable energy sources is a multi-criteria decision-making (MCDM) issue, and it is important to consider many competing factors. The main aim of this study is to develop an analytical hierarchy for the prioritization of three potential renewable energy resources such as solar, wind, and hydro energy in the context of India. The factors were recognized from the available literature studies and also through interactions with ten experts from academics and several industries. Then, nine factors were selected and categorized into three groups: economic factors, technical factors, and environmental factors. The analytical hierarchical method (AHP) is used to calculate the relative weights of the evaluation factors and to identify the alternatives. The final result showed that hydro energy with a priority weight percentage of (39.91%) had the highest rank followed by solar energy (34.9%) and wind energy (25.18%). So, hydro energy is India's best alternative to renewable energy sources, supported by solar and wind energy.
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References
Shihan M (2019) Investigation E. Selection of renewable energy sources using analytic hierarchy process
Kamalapur GD, Udaykumar RY (2012) Electrical power and energy systems rural electrification in India and feasibility of photovoltaic solar home systems. Int J Electr Power Energy Syst 33:594–599. https://doi.org/10.1016/j.ijepes.2010.12.014
Mainali B, Silveira S (2012) Energy for sustainable development renewable energy markets in rural electrification: country case Nepal. Energy Sustain Dev 16:168–178. https://doi.org/10.1016/j.esd.2012.03.001
Sindhu S, Nehra V, Luthra S (2017) Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: case study of India. Renew Sustain Energy Rev 73:496–511. https://doi.org/10.1016/j.rser.2017.01.135
Tasri A, Susilawati A (2014) Selection among renewable energy alternatives based on a fuzzy analytic hierarchy process in Indonesia. Sustain Energy Technol Assess 7:34–44. https://doi.org/10.1016/j.seta.2014.02.008
Luthra S, Kumar S, Garg D, Haleem A (2015) Barriers to renewable/sustainable energy technologies adoption: Indian perspective. Renew Sustain Energy Rev 41:762–776. https://doi.org/10.1016/j.rser.2014.08.077
Büyüközkan, Gülçin SG (2017) Accepted Manuscript. Energy. https://doi.org/10.1016/j.energy.2017.01.137.
Çolak M, Kaya İ (2017) Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model : a real case application for Turkey 80:840–53.https://doi.org/10.1016/j.rser.2017.05.194
Bazar B (2003) Selection of renewable energy sources using analytic hierarchy process 267–276
Nautiyal H, Varun (2012) Progress in renewable energy under clean development mechanism in India. Renew Sustain Energy Rev16:2913–9. https://doi.org/10.1016/j.rser.2012.02.008
Kumar A, Kaushik N, Sharma S, Mishra S (2010) Renewable energy in India: current status and future potentials.https://doi.org/10.1016/j.rser.2010.04.003
Mahtta R, Joshi PK, Kumar A (2014) Solar power potential mapping in India using remote sensing inputs and environmental parameters. Renew Energy 71:255–262. https://doi.org/10.1016/j.renene.2014.05.037
Bhattacharya SC, Jana C (2009) Renewable energy in India: historical developments and prospects. Energy 34:981–991. https://doi.org/10.1016/j.energy.2008.10.017
Ishizaka A, Labib A (2011) Review of the main developments in the analytic hierarchy process 38:14336–14345
Saaty TL (2008) Decision making with the analytic hierarchy process 1
Pressures S, Resources W, Interests V, Values C. The Analytic Hierarchy Process ( AHP ) for decision making by Thomas Saaty decision making involves setting priorities and the AHP is the methodology for doing most decision problems are multicriteria maximize profits satisfy customer demands Maximize emp n.d.: 1–69
Punia Sindhu S, Nehra V, Luthra S (2016) Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process: Indian outlook. Energy 100:332–348. https://doi.org/10.1016/j.energy.2016.01.091
Ikram M, Sroufe R, Zhang Q (2020) Prioritizing and overcoming barriers to integrated management system (IMS) implementation using AHP and G-TOPSIS. J Clean Prod 254:120–121. https://doi.org/10.1016/j.jclepro.2020.120121
Kahraman C, Cebi S (2009) A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy 34:1603–1616. https://doi.org/10.1016/j.energy.2009.07.008
Rapal BKAL, Sumabat AKR, Lopez NSA (2017) Analytic hierarchy process for multi-criteria site selection of utility-scale solar and wind projects. Chem Eng Trans 61:1255–1260. https://doi.org/10.3303/CET1761207
Ligus M, Peternek P (2018) Determination of most suitable low-emission energy technologies development in Poland using integrated fuzzy AHP-TOPSIS method. Energy Proc 153:101–106. https://doi.org/10.1016/j.egypro.2018.10.046
Ayağ Z (2017) Evaluating solar power plant location alternatives through a multiple-criteria decision making method 878–84. https://doi.org/10.20472/iac.2017.029.005
Ghimire LP, Kim Y (2018) An analysis on barriers to renewable energy development in. Renew Energy. https://doi.org/10.1016/j.renene.2018.06.011
Algarín CR, Llanos AP, Castro AO (2017) An analytic hierarchy process based approach for evaluating renewable energy sources 7:38–47
Yusoff S, Kardooni R (2012) Barriers and challenges for developing RE policy in Malaysia 28:6–10
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Pathak, S.K., Sharma, V., Chougule, S.S. (2022). Prioritization of Renewable Energy Alternatives by Using Analytic Hierarchy Process (AHP) Model: A Case Study of India. In: Sachdeva, A., Kumar, P., Yadav, O.P., Tyagi, M. (eds) Recent Advances in Operations Management Applications. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-7059-6_10
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