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The cost benefit analysis and potential emission reduction evaluation of applying wall insulation for buildings in Malaysia

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  • Shekarchian, M.
  • Moghavvemi, M.
  • Rismanchi, B.
  • Mahlia, T.M.I.
  • Olofsson, T.

Abstract

Due to the rapidly increasing number of air-conditioned spaces in buildings, the electricity demand has significantly increased during the past decade in Malaysia. The present energy analysis attempts to predict the long term environmental impact of utilizing thermal insulation materials for exterior walls of Malaysian buildings. The optimum insulation thickness is mainly influenced by local electricity tariff rate, and the capital insulation outlays. In the present work, some of the commonly used insulators available in the Malaysian market were analyzed. The results show that 2.2cm of fibreglass–urethane produces the largest cost savings, of around 1.863US$/m2 and is the most economically feasible insulation material that reduces the annual CO2 emission production level by 16.4kg/m2. The main focus of the survey is to predict the potential emission production fluctuation for over the next 20 years. In this regard, three different scenarios were introduced, based on different electricity production policies. It was revealed that the increase in the contribution of renewable power plants on one hand, and phasing out of the conventional thermal coal plants on the other will substantially lead to a diminished CO2 emission in long term.

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  • Shekarchian, M. & Moghavvemi, M. & Rismanchi, B. & Mahlia, T.M.I. & Olofsson, T., 2012. "The cost benefit analysis and potential emission reduction evaluation of applying wall insulation for buildings in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4708-4718.
    • Handle: RePEc:eee:rensus:v:16:y:2012:i:7:p:4708-4718
    DOI: 10.1016/j.rser.2012.04.045
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    Cited by:

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    2. Ghada Elshafei & Dušan Katunský & Martina Zeleňáková & Abdelazim Negm, 2022. "Opportunities for Using Analytical Hierarchy Process in Green Building Optimization," Energies, MDPI, vol. 15(12), pages 1-24, June.
    3. Kuang-Sheng Liu & Sung-Lin Hsueh & Wen-Chen Wu & Yu-Lung Chen, 2012. "A DFuzzy-DAHP Decision-Making Model for Evaluating Energy-Saving Design Strategies for Residential Buildings," Energies, MDPI, vol. 5(11), pages 1-19, November.
    4. Ismail, M.S. & Moghavvemi, M. & Mahlia, T.M.I., 2013. "Energy trends in Palestinian territories of West Bank and Gaza Strip: Possibilities for reducing the reliance on external energy sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 117-129.
    5. Shekarchian, M. & Moghavvemi, M. & Motasemi, F. & Zarifi, F. & Mahlia, T.M.I., 2012. "Energy and fuel consumption forecast by retrofitting absorption cooling in Malaysia from 2012 to 2025," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6128-6141.
    6. Sofia, Daniele & Gioiella, Filomena & Lotrecchiano, Nicoletta & Giuliano, Aristide, 2020. "Cost-benefit analysis to support decarbonization scenario for 2030: A case study in Italy," Energy Policy, Elsevier, vol. 137(C).
    7. Shadman, F. & Sadeghipour, S. & Moghavvemi, M. & Saidur, R., 2016. "Drought and energy security in key ASEAN countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 50-58.
    8. Liting Yuan & Zhiyi Wang & Yanyan Huang & Xiaolong Wang, 2020. "Comparative Analysis on Load Characteristic of Intermittently Conditioned Buildings for Different Wall Insulation Forms," Energies, MDPI, vol. 13(18), pages 1-15, September.

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