Identifying Factors Affecting Energy Waste in the Production Industry and Providing a Suitable Model for Energy Efficiency and Development of Renewable Energy in the Production Sector
Subject Areas : OptimizationAman allah Rahpeyma 1 , Mohammad Bahrami seifabad 2 , Yaghoub Ansari 3 , Roohalah Negahdari Nia 4
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Keywords: Energy waste, Manufacturing industries, Energy efficiency, Renewable energy,
Abstract :
The energy sector is a vital pillar of economic development of any country. The government and the private sector are exploring efficient energy sources, and for this purpose, various governments have specified carbon-related targets considering the existing realities. In such circumstances, manufacturing companies are under pressure to improve their energy performance. In these circumstances, reducing energy loss from production systems is very important. The aim of the present study is to identify the factors affecting energy loss in the manufacturing industry and to provide a suitable model for energy efficiency and the development of renewable energies in the manufacturing sector. The research method is mixed. The study sample consisted of 148 experts in manufacturing industries affiliated with the Electronic Industries Company in Shiraz. Data analysis was performed using pls software. The results show that reforming the infrastructure related to renewable energies, paying the initial costs of technology adoption, supporting policies, technological innovations, and inter-sectoral cooperation in technology can be solutions for the development of renewable energies in the manufacturing sector.
1. Usman, F. O., Ani, E. C., Ebirim, W., Montero, D. J. P., Olu-lawal, K. A., & Ninduwezuor-Ehiobu, N. (2024). Integrating renewable energy solutions in the manufacturing industry: challenges and opportunities: a review. Engineering Science & Technology Journal, 5(3), 674-703.
2. Xin, L., Sun, H., Xia, X., Wang, H., Xiao, H., & Yan, X. (2022). How does renewable energy technology innovation affect manufacturing carbon intensity in China?. Environmental Science and Pollution Research, 29(39), 59784-59801.
3. Kilci, E.N. (2022). Incentives for Sustainability: Relationship Between Renewable Energy Use
4. and Carbon Emissions for Germany and Finland. Oppor Chall. Sustain, 1(1), 29-37.
5. DOI: 10.56578/ocs010104.
6. Breyer, C., Khalili, S., Bogdanov, D., Ram, M., Oyewo, A. S., Aghahosseini, A., ... & Sovacool, B. K. (2022). On the history and future of 100% renewable energy systems research. IEEE Access, 10, 78176-78218.
7. Penna, A. N. (2019). A History of Energy Flows: from human labor to renewable power. Routledge.
8. Altin, N., & Akay, R. G. (2024). Components Used in Microbial Fuel Cells for Renewable Energy Generation: A Review of Their Historical and Ecological Development. Journal of Electrochemical Energy Conversion and Storage, 21(2).
9. Razeghi, M., Hajinezhad, A., Naseri, A., Noorollahi, Y., & Moosavian, S. F. (2023). An overview of renewable energy technologies for the simultaneous production of high-performance power and heat. Future Energy, 2(2), 1-11.
10. Dey, S., Sreenivasulu, A., Veerendra, G. T. N., Rao, K. V., & Babu, P. A. (2022). Renewable energy present status and future potentials in India: An overview. Innovation and Green Development, 1(1), 100006.
11. Tutak, M., & Brodny, J. (2022). Renewable energy consumption in economic sectors in the EU-27. The impact on economics, environment and conventional energy sources. A 20-year perspective. Journal of Cleaner Production, 345, 131076.
12. Fraser, T., Chapman, A. J., & Shigetomi, Y. (2023). Leapfrogging or lagging? Drivers of social equity from renewable energy transitions globally. Energy Research & Social Science, 98, 103006.
13. Hamdan, A., Ibekwe, K. I., Ilojianya, V. I., Sonko, S., & Etukudoh, E. A. (2024). AI in renewable energy: A review of predictive maintenance and energy optimization. International Journal of Science and Research Archive, 11(1), 718-729.
14. Barman, P., Dutta, L., Bordoloi, S., Kalita, A., Buragohain, P., Bharali, S., & Azzopardi, B. (2023). Renewable energy integration with electric vehicle technology: A review of the existing smart charging approaches. Renewable and Sustainable Energy Reviews, 183, 113518.
15. Elahi, E., Khalid, Z., & Zhang, Z. (2022). Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture. Applied Energy, 309, 118459.
17
16. Al-Emran, M., & Griffy-Brown, C. (2023). The role of technology adoption in sustainable development: Overview, opportunities, challenges, and future research agendas. Technology in Society, 73, 102240.
17. Hassan, Q., Algburi, S., Sameen, A. Z., Salman, H. M., & Jaszczur, M. (2023). A review of hybrid renewable energy systems: Solar and wind-powered solutions: Challenges, opportunities, and policy implications. Results in Engineering, 101621.
18. Igbinenikaro, O. P., Adekoya, O. O., & Etukudoh, E. A. (2024). Conceptualizing sustainable offshore operations: integration of renewable energy systems. International Journal of Frontiers in Science and Technology Research, 6(02), 031-043.
19. Ali, S., Yan, Q., Razzaq, A., Khan, I., & Irfan, M. (2023). Modeling factors of biogas technology adoption: a roadmap towards environmental sustainability and green revolution. Environmental Science and Pollution Research, 30(5), 11838-11860.
20. World Bank (2022) World development indicators online database.
21. Naımoglu, M., & Akal, M. (2021). Yükselen ekonomilerde enerji etkinliğini talep yanlı etkileyen faktörler. Sosyoekonomi, 29(49), 455-481.
22. Naimoglu M, Ozel M (2022) Enerji kaynaklarının enerji yoğunluğu üzerindeki etkileri: Enerji ithalatçısı yükselen ekonomilerden kanıtlar. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 47:1–15
23. Naimoglu M (2021) Fourier yaklaşimiyla yenilenebilir enerji tüketimi ve enerji kayiplarinin ekonomik büyüme üzerindeki etkisi: Almanya örneği. J Econ Res 2(1):59–68.
24. Geng, D., & Evans, S. (2022). A literature review of energy waste in the manufacturing industry. Computers & Industrial Engineering, 173, 108713.
25. Yin, S., Yang, H., Xu, K., Zhu, C., Zhang, S., & Liu, G. (2022). Dynamic real–time abnormal energy consumption detection and energy efficiency optimization analysis considering uncertainty. Applied Energy, 307, 118314.
26. Czopek, D., Gryboś, D., Leszczyński, J., & Wiciak, J. (2022). Identification of energy wastes through sound analysis in compressed air systems. Energy, 239, 122122.
27. Pontik, R. E. (1976). Special curtain material reduces energy required for furnace applications. Industrial Heating, 43(4), 28–31. Scopus.
28. Yin, S., Yang, H., Xu, K., Zhu, C., Zhang, S., & Liu, G. (2022). Dynamic real–time abnormal energy consumption detection and energy efficiency optimization analysis considering uncertainty. Applied Energy, 307, 118314.
29. Taboada, H., Xiong, Z., Jin, T., & Jimenez, J. (2012, August). Exploring a solar photovoltaic-based energy solution for green manufacturing industry. In 2012 IEEE International Conference on Automation Science and Engineering (CASE) (pp. 40-45). IEEE.
