Energy conservation strategies on academic buildings using interpretive structural modeling to develop energy sustainability

Authors

  • Yaumal Arbi Department of Civil Engineering, Faculty of Engineering, Universitas Negeri Padang, Indonesia
  • Aldri Frinaldi Department of Public Administration Science, Faculty of Social Science, Universitas Negeri Padang, Indonesia
  • Rembrandt Rembrandt Faculty of Law, Universitas Andalas, Indonesia
  • Dasman Lanin Department of Public Administration Science, Faculty of Social Science, Universitas Negeri Padang, Indonesia
  • Genius Umar Postgraduate of Environmental Science, Universitas Negeri Padang, Indonesia

DOI:

https://doi.org/10.24036/jptk.v7i3.37423

Keywords:

Energy conservation, Academic buildings, Sustainability strategies, Sustainable cities and communities

Abstract

Effective energy conservation strategies are required to be implemented in academic buildings as they consume significant energy while considering the convenience and function of the buildings. However, the influencing factors are interrelated and complex, requiring an appropriate approach to unravel the complexity. Therefore, this study aims to identify, analyse, and map the interaction relationship between factors affecting energy conservation in academic buildings. This study used Interpretive Structural Modeling (ISM) procedure starting from developing the Structural Self Interaction Matrix (SSIM), converting SSIM into a Reachability Matrix, revising the matrix, and categorizing the factors by using MICMAC analysis. This study involved 9 factors, including architectural design, illumination technology, education and awareness, energy monitoring and management, renewable energy use, efficient HVAC system, energy-saving equipment, institutional policies, and campus community participation. The study found that renewable energy use at level 3 was the factor that was not influenced by and did not interact with any other factors. Meanwhile, the illumination technology was a factor that interacted with the efficient HVAC System factor which was at level 1 where these two factors were influenced by other seven factors. This study aligns with current developments in energy conservation, including an increased focus on renewable energy and energy efficiency in academic buildings, supported by global and national policies aimed at achieving sustainability goals. It provides a comprehensive understanding on developing sustainable energy conservation strategies in academic buildings.

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References

Ahmad, N., & Qahmash, A. (2021). SmartISM: Implementation and Assessment of Interpretive Structural Modeling. Sustainability, 13(16), 8801. https://doi.org/10.3390/su13168801

Algarni, S., Tirth, V., Alqahtani, T., Alshehery, S., & Kshirsagar, P. (2023). Contribution of renewable energy sources to the environmental impacts and economic benefits for sustainable development. Sustainable Energy Technologies and Assessments, 56, 103098. https://doi.org/10.1016/j.seta.2023.103098

Ali, S., Huang, J., Khan, S. U., & Li, H. (2020). A framework for modelling structural association amongst barriers to software outsourcing partnership formation: An interpretive structural modelling approach. Journal of Software: Evolution and Process, 32(6). https://doi.org/10.1002/smr.2243

Ambaum, M., Corten, R., Lambooij, M., van der Aa, M., van Harreveld, F., & Buskens, V. (2024). Determinants of Long-Term Water and Energy Conservation Behavior: An Integrated Review. Sustainability, 16(11), 4399. https://doi.org/10.3390/su16114399

Anwar, R. P., Kurniawan, A., Mulianti, & Abadi, Z. (2024). Analysis and control of occupational safety risks using the HIRARC method in the Machining Workshop. Journal of Engineering Researcher and Lecturer, 3(2), 86–97. https://doi.org/10.58712/jerel.v3i2.142

Apdeni, R., Citra, Z., Rifwan, F., Putri, P. Y., Sandra, N., Malinda, Y., Wibowo, P. D., Ashadi, R. F., & Melinda, A. P. (2024). Application of ground penetrating radar for evaluating foundation structure condition after earthquake. Teknomekanik, 7(1), 85–100. https://doi.org/10.24036/teknomekanik.v7i1.26772

Chou, C.-H., Ngo, S. L., & Tran, P. P. (2023). Renewable Energy Integration for Sustainable Economic Growth: Insights and Challenges via Bibliometric Analysis. Sustainability, 15(20), 15030. https://doi.org/10.3390/su152015030

Efrah Ali, Ms. S., & Sarkar, Prof. A. K. (2024). Workplace Politics in Educational Institutions: An Interpretive Structural Modeling (ISM) Analysis. Educational Administration Theory and Practices. https://doi.org/10.53555/kuey.v30i5.4163

Esad Demirci, S. M., & Cicek, K. (2023). Innovative Strategy Development Approach for Enhancing the Effective Implementation of the International Safety Management (ISM) Code. Transportation Research Record: Journal of the Transportation Research Board, 2677(1), 25–48. https://doi.org/10.1177/03611981221098394

Faniama, V., Hanadi, H., Christian, H., Tomoyahu, S., Pradipta, J., Haq, I. N., & Leksono, E. (2024). Energy Audit Based on Energy Consumption Intensity for Energy Conservation in University Buildings. Jurnal Otomasi Kontrol Dan Instrumentasi, 16(1), 53–67. https://doi.org/10.5614/joki.2024.16.1.6

Gorzeń-Mitka, I. (2019). Interpretive Structural Modeling Approach to Analyze the Interaction Among Key Factors of Risk Management Process in SMEs: Polish Experience. European Journal of Sustainable Development, 8(1). https://doi.org/10.14207/ejsd.2019.v8n1p339

Huang, H., Wang, H., Hu, Y.-J., Li, C., & Wang, X. (2022). The development trends of existing building energy conservation and emission reduction—A comprehensive review. Energy Reports, 8, 13170–13188. https://doi.org/10.1016/j.egyr.2022.10.023

Kurniawan, A., Lapisa, R., Setiawan, M. Y., Rahim, B., & Syahri, B. (2023). Comparison of variation in the building shapes and the window-to-wall ratio by concerning energy consumption for thermal comfort and lighting. Teknomekanik, 6(2), 136–147. https://doi.org/10.24036/teknomekanik.v6i2.27972

Lai, X., Dai, M., & Rameezdeen, R. (2020). Energy saving based lighting system optimization and smart control solutions for rail transportation: Evidence from China. Results in Engineering, 5, 100096. https://doi.org/10.1016/j.rineng.2020.100096

Liu, P., Li, Q., Bian, J., Song, L., & Xiahou, X. (2018). Using Interpretative Structural Modeling to Identify Critical Success Factors for Safety Management in Subway Construction: A China Study. International Journal of Environmental Research and Public Health, 15(7), 1359. https://doi.org/10.3390/ijerph15071359

Mohammadalizadehkorde, M., & Weaver, R. (2018). Universities as Models of Sustainable Energy-Consuming Communities? Review of Selected Literature. Sustainability, 10(9), 3250. https://doi.org/10.3390/su10093250

Mukeshimana, M. C., Zhao, Z.-Y., & Nshimiyimana, J. P. (2021). Evaluating strategies for renewable energy development in Rwanda: An integrated SWOT – ISM analysis. Renewable Energy, 176, 402–414. https://doi.org/10.1016/j.renene.2021.05.104

Pan, Y., Zhu, M., Lv, Y., Yang, Y., Liang, Y., Yin, R., Yang, Y., Jia, X., Wang, X., Zeng, F., Huang, S., Hou, D., Xu, L., Yin, R., & Yuan, X. (2023). Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies. Advances in Applied Energy, 10, 100135. https://doi.org/10.1016/J.ADAPEN.2023.100135

Poduval, P. S., Pramod, V. R., & V. P., J. R. (2015). Interpretive Structural Modeling (ISM) and its application in analyzing factors inhibiting implementation of Total Productive Maintenance (TPM). International Journal of Quality & Reliability Management, 32(3), 308–331. https://doi.org/10.1108/IJQRM-06-2013-0090

Sorooshian, S., Tavana, M., & Ribeiro-Navarrete, S. (2023). From classical interpretive structural modeling to total interpretive structural modeling and beyond: A half-century of business research. Journal of Business Research, 157, 113642. https://doi.org/10.1016/j.jbusres.2022.113642

Sufian Hasim, M., Wan Azam, W. F. H., Hashim, A. E., & Muhamad Ariff, N. R. (2020). The Implementation of Sustainable Energy Initiatives in Campus Buildings. Asian Journal of Quality of Life, 4(17), 63–77. https://doi.org/10.21834/ajqol.v4i17.201

Sushil. (2018). Incorporating polarity of relationships in ISM and TISM for theory building in information and organization management. International Journal of Information Management, 43, 38–51. https://doi.org/10.1016/j.ijinfomgt.2018.06.003

Wang, J., Yi, F., Zhong, Z., Qiu, Z., & Yu, B. (2021). Diversity and causality of university students’ energy-conservation behavior: Evidence in hot summer and warm winter area of China. Journal of Cleaner Production, 326, 129352. https://doi.org/10.1016/J.JCLEPRO.2021.129352

Wankhade, N., & Kundu, G. K. (2020). Interpretive Structural Modelling (ISM) Methodology and its application in Supply Chain Research. International Journal of Innovative Technology and Exploring Engineering, 9(4), 1101–1109. https://doi.org/10.35940/ijitee.D1607.029420

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Published

2024-08-31

How to Cite

Arbi, Y., Frinaldi, A., Rembrandt, R., Lanin, D., & Umar, G. (2024). Energy conservation strategies on academic buildings using interpretive structural modeling to develop energy sustainability. Jurnal Pendidikan Teknologi Kejuruan, 7(3), 204–212. https://doi.org/10.24036/jptk.v7i3.37423