Application of the PSI Method in Selecting Sustainable Energy Development Technologies
Received: 17 October 2024 | Revised: 14 November 2024 | Accepted: 25 November 2024 | Online: 9 December 2024
Corresponding author: Tran Van Dua
Abstract
The development of renewable energy is not only an urgent solution for addressing climate change but also a driving force for sustainable economic growth. The transition to clean, inexhaustible energy sources not only helps to reduce greenhouse gas emissions and protect the environment but also ensures national energy security, creates employment opportunities, and enhances the quality of life for individuals. Presently, various technologies exist for sustainable energy development, each characterized by multiple criteria, complicating the evaluation of their performance. This study presents a straightforward method for identifying the best option among eight sustainable energy development alternatives: hydropower, geothermal, biomass, wind, solar, concentrated solar power, coal technology, and oil-fired power plants, each of which is characterized by 17 distinct criteria. The simple method utilized is the Preference Selection Index (PSI) method, which eliminates the need for criteria weighting. This absence of criteria weight calculation in the PSI method distinguishes it from other ranking techniques that typically require such calculations. Therefore, the PSI method significantly simplifies the comparison of the available options compared to other ranking methods, as it bypasses the need for criteria weight calculations. The optimal option identified through the PSI method was also compared with the optimal option identified using 6 other methods: Multi Atributive Ideal Real Com parative Analysis (MAIRCA), Evaluation Based on Distance from Average Solution (EDAS), COmplex PRroportional ASsessment (COPRAPS), Multiobjective Optimization On the basis of Ratio Analysis (MOORA), Proximity Indexed Value (PIV), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Notably, all employed methods consistently identified geothermal energy as the optimal choice.
Keywords:
sustainable energy development, energy policy, PSI method, MCDMDownloads
References
M. Mrkić-Bosančić, S. Vasković, P. Gvero, and G. Krunić, "Optimal energy mix in relation to multi-criteria decision-making (MCDM), review and further research directions," Decision Making: Applications in Management and Engineering, vol. 6, no. 2, pp. 43–73, Jun. 2023.
R. Abu Taha and T. Daim, "Multi-Criteria Applications in Renewable Energy Analysis, a Literature Review," in Research and Technology Management in the Electricity Industry: Methods, Tools and Case Studies, T. Daim, T. Oliver, and J. Kim, Eds. London: Springer, 2013, pp. 17–30.
I. Siksnelyte-Butkiene, E. K. Zavadskas, and D. Streimikiene, "Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review," Energies, vol. 13, no. 5, Jan. 2020, Art. no. 1164.
A. Kumar et al., "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, vol. 69, pp. 596–609, Mar. 2017.
R. Ghasempour, M. A. Nazari, M. Ebrahimi, M. H. Ahmadi, and H. Hadiyanto, "Multi-Criteria Decision Making (MCDM) Approach for Selecting Solar Plants Site and Technology: A Review," International Journal of Renewable Energy Development, vol. 8, no. 1, pp. 15–25, Feb. 2019.
D. D. Trung, "A combination method for multi-criteria decision making problem in turning process," Manufacturing Review, vol. 8, 2021, Art. no. 26.
H. X. Thinh and T. V. Dua, "Optimal Surface Grinding Regression Model Determination with the SRP Method," Engineering, Technology & Applied Science Research, vol. 14, no. 3, pp. 14713–14718, Jun. 2024.
A. K. Yazdi, Y. Tan, R. Birau, D. Frank, and D. Pamučar, "Sustainable solutions: using MCDM to choose the best location for green energy projects," International Journal of Energy Sector Management, vol. ahead-of-print, no. ahead-of-print, Jul. 2024.
M. Ramezanzade et al., "Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study," Sustainability, vol. 13, no. 22, Jan. 2021, Art. no. 12858.
D. Kannan, S. Moazzeni, S. M. Darmian, and A. Afrasiabi, "A hybrid approach based on MCDM methods and Monte Carlo simulation for sustainable evaluation of potential solar sites in east of Iran," Journal of Cleaner Production, vol. 279, Jan. 2021, Art. no. 122368.
B. Stojčetović, M. Petković, and S. Đurović, "Assessment of renewable energy sources using MCDM method: Case study," Facta universitatis - series: Electronics and Energetics, vol. 36, no. 3, pp. 353–363, 2023.
T. Supriyasilp, K. Pongput, and T. Boonyasirikul, "Hydropower development priority using MCDM method," Energy Policy, vol. 37, no. 5, pp. 1866–1875, May 2009.
I. Badi, Ž. Stević, and M. B. Bouraima, "Overcoming Obstacles to Renewable Energy Development in Libya: An MCDM Approach towards Effective Strategy Formulation," Decision Making Advances, vol. 1, no. 1, pp. 17–24, Jun. 2023.
T. Li, H. Wang, and Y. Lin, "Selection of renewable energy development path for sustainable development using a fuzzy MCDM based on cumulative prospect theory: the case of Malaysia," Scientific Reports, vol. 14, no. 1, Jul. 2024, Art. no. 15082.
H. Karbin and A. Rashidi Komijan, "An MCDM- Based Approach for Renewable Energy Planning in Iran," Journal of Energy and Economic Development, vol. 1, no. 3, pp. 60–79, Dec. 2022.
T. V. Dua, D. V. Duc, N. C. Bao, and D. D. Trung, "Integration of objective weighting methods for criteria and MCDM methods: application in material selection," EUREKA: Physics and Engineering, no. 2, pp. 131–148, Mar. 2024.
D. D. Trung, N. X. Truong, and H. X. Thinh, "Combined PIPRECIA method and modified FUCA method for selection of lathe," Journal of Applied Engineering Science, vol. 20, no. 4, pp. 1355–1365, 2022.
T. N. U. Vo, "Integrating FUCA, SRP, and OPARA Methods to Assess Faculty’s Scientific Research Capacity," Engineering, Technology & Applied Science Research, vol. 14, no. 6, pp. 17870–17875, Dec. 2024.
Z. Gligorić, M. Gligorić, I. Miljanović, S. Lutovac, and A. Milutinović, "Assessing Criteria Weights by the Symmetry Point of Criterion (Novel SPC Method)–Application in the Efficiency Evaluation of the Mineral Deposit Multi-Criteria Partitioning Algorithm," Computer Modeling in Engineering & Sciences, vol. 136, no. 1, pp. 955–979, 2023.
D. D. Trung and H. X. Thinh, "A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study," Advances in Production Engineering & Management, vol. 16, no. 4, pp. 443–456, Dec. 2021.
T. V. Dua, "Optimal selection for machining processes using the PSI-R-PIV method," Applied Engineering Letters, vol. 9, no. 3, pp. 132–145, Sep. 2024.
K. Maniya and M. G. Bhatt, "A selection of material using a novel type decision-making method: Preference selection index method," Materials & Design, vol. 31, no. 4, pp. 1785–1789, Apr. 2010.
D. T. Do, V. D. Tran, V. D. Duong, and N.-T. Nguyen, "Investigation of the Appropriate Data Normalization Method for Combination with Preference Selection Index Method in MCDM," Operational Research in Engineering Sciences: Theory and Applications, vol. 6, no. 1, pp. 44–64, 2023.
N. T. P. Giang and V. Q. Oai, "Application of Preference Selection Index (PSI) Method for Selecting a 3d Printer," Journal of Science & Technology, vol. 58, no. 6A, pp. 47–50, 2022.
N. Arifin and P. H. Saputro, "Selection Index (PSI) Method in Developing a Student Scholarship Decision Support System," International Journal of Computer and Information System (IJCIS), vol. 3, no. 1, pp. 12–16, Jan. 2022.
I. Emovon and O. S. Oghenenyerovwho, "Application of MCDM method in material selection for optimal design: A review," Results in Materials, vol. 7, Sep. 2020, Art. no. 100115.
T. V. Huy et al., "Multi-criteria decision-making for electric bicycle selection," Advanced Engineering Letters, vol. 1, no. 4, pp. 126–135, Dec. 2022.
A. Ulutaş, G. Popovic, P. Radanov, D. Stanujkic, and D. Karabasevic, "A new hybrid fuzzy PSI-PIPRECIA-CoCoSo MCDM based approach to solving the transportation company selection problem," Technological and Economic Development of Economy, vol. 27, no. 5, pp. 1227–1249, Aug. 2021.
M. Stanujkic, G. Popovic, D. Stanujkic, and F. Smarandache, "Approach to the personnel selection process in a group decision-making environment based on the PSI method," Branch Mathematics and Statistics Faculty and Staff Publications, Jan. 2023.
T. N. Hung, "Electricity production technology selection for sustainability based on multi-criteria decision-making techniques," Hanoi University of Industry Journal of Science and Technology, vol. 60, no. 7, pp. 172–178, 2024.
T. Do, "Application of TOPSIS an PIV Methods for Multi - Criteria Decision Making in Hard Turning Process," Journal of Machine Engineering, vol. 21, no. 4, pp. 57–71, Dec. 2021..
T. Do, "The Combination of Taguchi – Entropy – WASPAS - PIV Methods for Multi-Criteria Decision Making when External Cylindrical Grinding of 65G Steel," Journal of Machine Engineering, vol. 21, no. 4, pp. 90–105, Dec. 2021.
D. D. Trung, B. Dudić, D. V. Duc, N. H. Son, and A. Ašonja, "Comparison of MCDM methods effectiveness in the selection of plastic injection molding machines," Teknomekanik, vol. 7, no. 1, pp. 1–19, May 2024.
Downloads
How to Cite
License
Copyright (c) 2024 Tran Van Dua
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
