DOI: https://doi.org/10.14710/presipitasi.v0i0.%25p

Determining the Location of Solar Power Plant in Indonesia Using Fuzzy-AHP TOPSIS

Putri Monika Pratami  -  Universitas Pertamina, Indonesia
*Yelita Anggiane Iskandar orcid scopus  -  Universitas Pertamina, Indonesia
Nur Layli Rachmawati  -  Universitas Pertamina, Indonesia

Citation Format:
Abstract
Solar is a promising renewable energy source for Indonesia's increasing electricity demand, which grows at the rate of 3.3% annually. However, high investment costs and unclear policies hinder Solar Power Plant (SPP) development. Considering the potential for growth in energy demand and the low long-term operational costs, it is imperative to foster SPP expansion in Indonesia. This study aims to identify location criteria and potential SPP development sites in Indonesia. We employ Multi-Criteria Decision-Making (MCDM) combining Fuzzy-AHP and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies to assign criteria weights and prioritize alternative SPP locations. Results show that, from all respondents using the geometric mean in the Fuzzy Analytic Hierarchy Process (AHP), it is found that the Economic criteria give the highest weight at 31%, and subcriteria of Land Availability, Peak Sun Hours, Geographic Location, Distance from Transportation Networks, Construction Costs, and Government Regulations contribute significantly. The ranking of alternative solutions indicates that South Sumatra Province holds the highest priority for SPP development with a 0.572 score, closely followed by North Sumatra at 0.571
Fulltext View|Download
Keywords: Solar power plant; renewable energy; location criteria; Fuzzy-AHP; TOPSIS

Article Metrics:

Article Info
Section: Regional Case Study
Language : EN
Recent articles
Open-Bin Composting for Enhancing the Processed Fecal Sludge Quality with Co-Composting Materials as Admixture Microbiologically Induced Corrosion (MIC) of Carbon Steel in Biodiesel: a Comparative Analysis Characterization of Fecal Sludge Combined with Sawdust as Briquettes Challenges in using Electrocoagulation Process in Removal of Nickel Metal in Wastewater: a Literature Review Assessing the Environmental and Health Impacts of Thermal Waste and Landfill-Based Waste Management in Denpasar City, Bali Utilization of Organic and Plastic Waste as Solid Fuel for Steam Power Plants 3 Parit Baru Site Bengkayang Analysis of CO (Carbon Monoxide) on Transportation Along the Eastern Crossroad of Jambi More recent articles
Most cited articles
POTENSI NITRIFIKASI OLEH BAKTERI YANG TERDAPAT DI LAUT ALIRAN KALI PLUMBON, LAUT ALIRAN KALI BANJIR KANAL BARAT DAN LAUT ALIRAN KALI BANJIR KANAL TIMUR PENENTUAN CAMPURAN LUMPUR LAPINDO SEBAGAI SUBSTITUSI PASIR DAN SEMEN DALAM PEMBUATAN PAVING BLOCK RAMAH LINGKUNGAN ANALISIS PENGARUH HIDROLIKA SUNGAI TERHADAP TRANSPORT BOD DAN DO DENGAN MENGGUNAKAN SOFTWARE QUAL2E (STUDI KASUS DI SUNGAI KALIGARANG, SEMARANG ) EVALUATION ON COMMUNITY BASED FOREST MANAGEMENT IMPLEMENTATION IN RANDUBLATUNG, BLORA KOMBINASI FEEDING BIOSTARTER DAN AIR DALAM ANAEROBIK DIGESTER More cited articles
  1. Abdul Rashid, N.S., Mohd Amin, N.A., Mahad, N.F., 2020. Application of Fuzzy Analytic Hierarchy Process for Contractor Selection Problem. Gading Journal of Science and Technology 3, 109–117
  2. Alqaderi, M.B., Emar, W., Saraereh, O.A., 2018. Concentrated Solar Power Site Suitability Using GIS-MCDM Technique Taken UAE as a Case Study. International Journal of Advanced Computer Science and Applications 9
  3. Asakereh, A., Soleymani, M., Sheikhdavoodi, M.J., 2017. A GIS-based Fuzzy-AHP Method for the Evaluation of Solar Farms Locations: Case Study in Khuzestan Province, Iran. Solar Energy 155, 342–353
  4. Badan Pusat Statistik, 2024. Tenaga Listrik yang Dibangkitkan Menurut Provinsi (GWh), 2021-2022 [WWW Document
  5. Cengiz, Mehmet Sait, Mamiş, M.S., 2016. Termal Güneş Enerjisi Kullanımı ve CSP Sistemlerin Verimlilik Analizi. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 5
  6. Dellosa, Jeffrey T, 2016. Potential Effect and Analysis of High Residential Solar Photovoltaic (PV) Systems Penetration to an Electric Distribution Utility (DU). International Journal of Renewable Energy Development 5
  7. El-Katiri, L., Khalid, A., Mills, R., Salman, M., Ibrahim, R., 2019. Renewable Energy Market Analysis GCC 2019
  8. Ghasempour, R., Nazari, M.A., Ebrahimi, M., Ahmadi, M.H., Hadiyanto, H., 2019. Multi-criteria Decision Making (MCDM) Approach for Selecting Solar Plants Site and Technology: A Review. International Journal of Renewable Energy Development 8, 15–25
  9. Hamdi, E., 2019. Indonesia’s Solar Policies. The Institute for Energy Economics and Financial Analysis (IEEFA)
  10. Hani, H.M., Nour El Din, M.M., Khalifa, A., Elalfy, E., 2023. Sensitivity Analysis for Multi-Criteria Decision Analysis Framework for Site Selection of Aquifer Recharge with Reclaimed Water. Sustainability 15, 5399
  11. Heidary Dahooie, J., Husseinzadeh Kashan, A., Shoaei Naeini, Z., Vanaki, A.S., Zavadskas, E.K., Turskis, Z., 2022. A Hybrid Multi-criteria-decision-making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran. Energies (Basel) 15, 2801
  12. International Renewable Energy Agency, 2022. Indonesia Energy Transition Outlook About IRENA
  13. Jayant, Arvind, Gupta, P., Garg, S.K., Khan, M., 2014. TOPSIS-AHP Based Approach for Selection of Reverse Logistics Service Provider: a Case Study of Mobile Phone Industry. Procedia Eng 97, 2147–2156
  14. Kar, A.K., 2014. Revisiting the Supplier Selection Problem: An Integrated Approach for Group Decision Support. Expert Syst Appl 41, 2762–2771
  15. Kementerian Energi dan Sumber Daya Mineral, 2010. Perbandingan Keekonomian Pembangkit Listrik [WWW Document]
  16. Kencana, B., Prasetyo, B., Berchmans, H., Agustina, I., Myrasandri, P., Bona, R., Panjaitan, R.R., Winne, 2018. Panduan Studi Kelayakan Pembangkit Listrik Tenaga Surya (PLTS) Terpusat
  17. Kengpol, A., Rontlaong, P., Tuominen, M., 2013. A Decision Support System for Selection of Solar Power Plant Locations by Applying Fuzzy AHP and TOPSIS: An Empirical Study. Journal of Software Engineering and Applications 06, 470–481
  18. Kocabaldir, C., Yücel, M.A., 2020. GIS-based Multi-criteria Decision Analysis of Site Selection for Photovoltaic Power Plants in Çanakkale Province. International Journal of Environment and Geoinformatics 7, 347–355
  19. Li, P., Qian, H., Wu, J., Chen, J., 2013. Sensitivity Analysis of TOPSIS Method in Water Quality Assessment: I. Sensitivity to the Parameter Weights. Environ Monit Assess 185, 2453–2461
  20. Li, Y., Feng, Y., Qin, S., 2020. Sensitivity Analysis For Ranking Alternatives In Water Pollution Control Projects. Int J Environ Res Public Health 17, 214
  21. Lin, S.-H., Ho, C.-Y., Lu, S.-Y., Hsieh, J.-C., 2022. The Determinants of Passengers’ Consumption Motivation at High-Speed Rail Stations. Systems 10, 45
  22. Liu, Y., Eckert, C.M., Earl, C., 2020. A Review of Fuzzy AHP Methods for Decision-making with Subjective Judgements. Expert Syst Appl 161, 113738
  23. Masudin, I., 2019. Location-Allocation Problems in the Perspective of Supply Chain: Approaches and Applications. Jurnal Teknik Industri 20, 1–11
  24. Megantoro, P., Syahbani, M.A., Sukmawan, I.H., Perkasa, S.D., Vigneshwaran, P., 2022. Effect of Peak Sun Hour on Energy Productivity of Solar Photovoltaic Power System. Bulletin of Electrical Engineering and Informatics 11, 2442–2449
  25. Merrouni, A.A., Elalaoui, F.E., Mezrhab, Ahmed, Mezrhab, Abdelhamid, Ghennioui, A., 2018. Large Scale PV Sites Selection by Combining GIS and Analytical Hierarchy Process. Case Study: Eastern Morocco. Renew Energy 119, 863–873
  26. Muñoz, B., Romana, M.G., Ordóñez, J., 2016. Sensitivity Analysis of Multicriteria Decision Making Methodology Developed for Selection of Typologies of Earth-retaining Walls in an Urban Highway. Transportation research procedia 18, 135–139
  27. Perusahaan Listrik Negara (Persero), P., 2021. Rencana Usaha Penyediaan Tenaga Listrik (RUPTL) PT PLN (Persero) 2021-2030
  28. Pribadi, A., 2023. Punya Potensi Pasar Besar, Penggiat PLTS di Indonesia Diminta Tak Keluar Gelanggang [WWW Document]
  29. Ruiz, H S, Sunarso, A., Ibrahim-Bathis, K., Murti, S.A., Budiarto, I., 2020. GIS-AHP Multi Criteria Decision Analysis for the Optimal Location of Solar Energy Plants at Indonesia. Energy Reports 6, 3249–3263
  30. Sánchez-Lozano, Juan M, Teruel-Solano, J., Soto-Elvira, P.L., García-Cascales, M.S., 2013. Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) Methods for the Evaluation of Solar Farms Locations: Case Study in South-Eastern Spain. Renewable and sustainable energy reviews 24, 544–556
  31. Sawitri, F., 2016. Integration of GIS and MCDM Methods for the Evaluation of Solar Faem Locations, Case Study in Kupang Regency, East Nusa Tenggara
  32. Sekretariat Jenderal Dewan Energi Nasional, 2022. Laporan Kinerja
  33. Setyono, J.S., Mardiansjah, F.H., Astuti, M.F.K., 2019. Potensi Pengembangan Energi Baru dan Energi Terbarukan di Kota Semarang. Jurnal Riptek 13, 177–186
  34. Sule, D.R., 2001. Logistics of Facility Location and Allocation. CRC Press
  35. Syuhaila, N., Rashid, A., Amirah, N., Amin, M., Mahad, N.F., 2020. Application Of Fuzzy Analytic Hierarchy Process For Contractor Selection Problem, GADING Journal of Science and Technology
  36. United States Agency for International Development, 2016. Pembiayaan Pembangkit Listrik
  37. Vallada, E., Ruiz, R., 2011. A Genetic Algorithm for the Unrelated Parallel Machine Scheduling Problem with Sequence Dependent Setup Times. Eur J Oper Res 211, 612–622
  38. Wahyuni, E., 2022. Challenges Facing Indonesia’s Energy Commitment. In: Indonesia Post-Pandemic Outlook: Strategy towards Net-Zero Emissions by 2060 from the Renewables and Carbon-Neutral Energy Perspectives. Penerbit BRIN
  39. Wang, C.-N., Nguyen, V.T., Thai, H.T.N., Duong, D.H., 2018. Multi-criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam. Energies (Basel) 11, 1504
  40. Wang, C.N., Tsai, H.T., Ho, T.P., Nguyen, V.T., Huang, Y.F., 2020. Multi-criteria Decision Making (MCDM) Model for Supplier Evaluation and Selection for Oil Production Projects in Vietnam. Processes 8

Last update:

No citation recorded.

Last update: 2024-07-18 04:11:19

No citation recorded.