Examining energy efficiency requirements in building energy standards: Implications of sustainable energy consumption

References

• Abanda, F. H., and L. Byers. 2016. An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling). Energy 97:517–24. doi:10.1016/j.energy.2015.12.135.
   Web of Science ®Google Scholar
• Addae, B. A., L. Zhang, P. Zhou, and F. Wang. 2019. Analyzing barriers of smart energy city in Accra with two-step fuzzy DEMATEL. Cities 89:218–27. doi:10.1016/j.cities.2019.01.043.
   Web of Science ®Google Scholar
• Allouhi, A., Y. El Fouih, T. Kousksou, A. Jamil, Y. Zeraouli, and Y. Mourad. 2015. Energy consumption and efficiency in buildings: Current status and future trends. Journal of Cleaner Production 109:118–30. doi:10.1016/j.jclepro.2015.05.139.
   Web of Science ®Google Scholar
• Anand, M. C. J., and J. Bharatraj. 2017. Theory of triangular fuzzy number. Proceedings of NCATM 2017:80.
   Google Scholar
• ANSI/ASHRAE/IES Standard 90.1. Energy standard for buildings except low-rise residential buildings. https://ashrae.iwrapper.com/ViewOnline/Standard_90.1-2019
   Google Scholar
• Arroyo, P., C. Mourgues, F. Flager, and M. G. Correa. 2018. A new method for applying choosing by advantages (CBA) multicriteria decision to a large number of design alternatives. Energy and Buildings 167:30–37. doi:10.1016/j.enbuild.2018.02.031.
   Web of Science ®Google Scholar
• Athalye, R. A., D. Sivaraman, D. B. Elliott, B. Liu, and R. Bartlett. 2016. Impacts of model building energy codes (No). Richland, WA (United States): Pacific Northwest National Lab. (PNNL). PNNL-25611-Rev1).
   Google Scholar
• Bhalaji, R. K. A., S. Bathrinath, S. G. Ponnambalam, and S. Saravanasankar. 2019. A fuzzy decision-making trial and evaluation laboratory approach to analyse risk factors related to environmental health and safety aspects in the healthcare industry. Sādhanā 44 (3). doi:10.1007/s12046-018-1050-4.
   Web of Science ®Google Scholar
• Boral, S., I. Howard, S. K. Chaturvedi, K. McKee, and V. N. A. Naikan. 2020. A novel hybrid multi-criteria group decision making approach for failure mode and effect analysis: An essential requirement for sustainable manufacturing. Sustainable Production and Consumption 21:14–32. doi:10.1016/j.spc.2019.10.005.
   Web of Science ®Google Scholar
• Boran, K. 2017. An evaluation of power plants in Turkey: Fuzzy TOPSIS method. Energy Sources, Part B: Economics, Planning, and Policy 12 (2):119–25. doi:10.1080/15567249.2015.1050561.
   Web of Science ®Google Scholar
• Brucal, A., and M. J. Roberts. 2019. Do energy efficiency standards hurt consumers? Evidence from household appliance sales. Journal of Environmental Economics and Management 96:88–107. doi:10.1016/j.jeem.2019.04.005.
   Web of Science ®Google Scholar
• Bruno, R., N. Arcuri, and G. Cuconati. 2019. A smart air-conditioning plant for efficient energy buildings. In The internet of things for smart urban ecosystems, 251–74. Cham: Springer.
   Google Scholar
• Büyüközkan, G., and G. Çifçi. 2012. A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications 39 (3):3000–11. doi:10.1016/j.eswa.2011.08.162.
   Web of Science ®Google Scholar
• Büyüközkan, G., and S. Güleryüz. 2016. An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey. International Journal of Production Economics 182:435–48. doi:10.1016/j.ijpe.2016.09.015.
   Web of Science ®Google Scholar
• Chen, H. H., A. H. Lee, and H. Y. Kang. 2017. The fuzzy conceptual model for selecting energy sources. Energy Sources, Part B: Economics, Planning, and Policy 12 (4):297–304. doi:10.1080/15567249.2011.652339.
   Web of Science ®Google Scholar
• Costanzo, V., R. Yao, E. Essah, L. Shao, M. Shahrestani, A. C. Oliveira, and E. Biyik. 2018. A method of strategic evaluation of energy performance of building integrated photovoltaic in the urban context. Journal of Cleaner Production 184:82–91. doi:10.1016/j.jclepro.2018.02.139.
   Web of Science ®Google Scholar
• Dağdeviren, M., S. Yavuz, and N. Kılınç. 2009. Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications 36 (4):8143–51. doi:10.1016/j.eswa.2008.10.016.
   Web of Science ®Google Scholar
• Evans, M., S. Yu, A. Staniszewski, L. Jin, and A. Denysenko. 2018. The international implications of national and local coordination on building energy codes: case studies in six cities. Journal of Cleaner Production 191:127–34. doi:10.1016/j.jclepro.2018.04.142.
   Web of Science ®Google Scholar
• Evin, D., and A. Ucar. 2019. Energy impact and eco-efficiency of the envelope insulation in residential buildings in Turkey. Applied Thermal Engineering 154:573–84. doi:10.1016/j.applthermaleng.2019.03.102.
   Web of Science ®Google Scholar
• Gabus, A., and E. Fontela. 1973. Perceptions of the world problematic: communication procedure, communicating with those bearing collective responsibility (No. 1). DEMATEL report.
   Google Scholar
• Gabus, A., and E. Fontela. 1976. The DEMATEL observer. Geneva, Switzerland: Battelle Geneva Research Center.
   Google Scholar
• Gao, H., X. H. Ding, and S. Li. 2018. EPC renewable project evaluation: A fuzzy real option pricing model. Energy Sources, Part B: Economics, Planning, and Policy 13 (9–10):404–13. doi:10.1080/15567249.2018.1550124.
   Web of Science ®Google Scholar
• Gardas, B. B., R. D. Raut, N. Cheikhrouhou, and B. E. Narkhede. 2019. A hybrid decision support system for analyzing challenges of the agricultural supply chain. Sustainable Production and Consumption 18:19–32. doi:10.1016/j.spc.2018.11.007.
   Web of Science ®Google Scholar
• Global Alliance for Buildings and Construction, International Energy Agency and the United Nations Environment Programme.2019. 2019 global status report for buildings and construction: towards a zero-emission, efficient and resilient buildings and construction sector.https://www.worldgbc.org/sites/default/files/2019%20Global%20Status%20Report%20for%20Buildings%20and%20Construction.pdf
   Google Scholar
• Guler, E., S. Yerel Kandemir, E. Acikkalp, and M. H. Ahmadi. 2021. Evaluation of sustainable energy performance for OECD countries. Energy Sources, Part B: Economics, Planning, and Policy 1–24.
   Web of Science ®Google Scholar
• Guo, Q., Y. Wu, Y. Ding, W. Feng, and N. Zhu. 2016. Measures to enforce mandatory civil building energy efficiency codes in China. Journal of Cleaner Production 119:152–66. doi:10.1016/j.jclepro.2016.02.002.
   Web of Science ®Google Scholar
• Gupta, N., A. Tiwari, and G. N. Tiwari. 2017. A thermal model of hybrid cooling systems for building integrated semitransparent photovoltaic thermal system. Solar Energy 153:486–98. doi:10.1016/j.solener.2017.05.086.
   Web of Science ®Google Scholar
• IEA. 2019. Global status report for buildings and construction 2019. IEA, Paris. https://webstore.iea.org/download/direct/2930?fileName=2019_Global_Status_Report_for_Buildings_and_Construction.pdf
   Google Scholar
• International Partnership on Energy Efficiency Cooperation. 2015. Delivering energy savings in buildings: international collaboration on building energy code implementation. http://ipeec.org/publications.http://www.gbpn.org/sites/default/files/1448013016IPEEC_BEET3_Final_Report.pdf
   Google Scholar
• Jacobs, D., and B. K. Sovacool. 2012. 1.06-feed-in tariffs and other support mechanisms for solar PV promotion. Comprehensive Renewable Energy 1:73–109.
   Google Scholar
• Johra, H., P. Heiselberg, and J. Le Dréau. 2019. Influence of envelope, structural thermal mass and indoor content on the building heating energy flexibility. Energy and Buildings 183:325–39. doi:10.1016/j.enbuild.2018.11.012.
   Web of Science ®Google Scholar
• Kabak, M., M. Dağdeviren, and S. Burmaoğlu. 2016. A hybrid SWOT-FANP model for energy policy making in Turkey. Energy Sources, Part B: Economics, Planning, and Policy 11 (6):487–95. doi:10.1080/15567249.2012.673692.
   Web of Science ®Google Scholar
• Kabak, M., E. Köse, O. Kırılmaz, and S. Burmaoğlu. 2014. A fuzzy multi-criteria decision making approach to assess building energy performance. Energy and Buildings 72:382–89. doi:10.1016/j.enbuild.2013.12.059.
   Web of Science ®Google Scholar
• Kadoić, N., B. Divjak, and N. B. Ređep. 2019. Integrating the DEMATEL with the analytic network process for effective decision-making. Central European Journal of Operations Research 27 (3):653–78. doi:10.1007/s10100-018-0601-4.
   Web of Science ®Google Scholar
• Karuppiah, K., B. Sankaranarayanan, S. M. Ali, P. Chowdhury, and S. K. Paul. 2020. An integrated approach to modeling the barriers in implementing green manufacturing practices in SMEs. Journal of Cleaner Production 121737.
   Google Scholar
• Kaya, İ., M. Colak, and F. Terzi. 2019. A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making. Energy Strategy Reviews 24:207–28. doi:10.1016/j.esr.2019.03.003.
   Web of Science ®Google Scholar
• Khovalyg, D., O. B. Kazanci, H. Halvorsen, I. Gundlach, W. P. Bahnfleth, J. Toftum, and B. W. Olesen. 2020. Critical review of standards for indoor thermal environment and air quality. Energy and Buildings 213:109819. doi:10.1016/j.enbuild.2020.109819.
   Web of Science ®Google Scholar
• Kotti, S., D. Teli, and P. A. B. James. 2017. Quantifying thermal bridge effects and assessing retrofit solutions in a Greek residential building. Procedia Environmental Sciences 38:306–13. doi:10.1016/j.proenv.2017.03.084.
   Google Scholar
• Kumar, A., and G. Dixit. 2018. An analysis of barriers affecting the implementation of e-waste management practices in India: A novel ISM-DEMATEL approach. Sustainable Production and Consumption 14:36–52. doi:10.1016/j.spc.2018.01.002.
   Web of Science ®Google Scholar
• Lee, H., A. Ozaki, M. Lee, and W. Cho. 2019. A fundamental study of intelligent building envelope systems capable of passive dehumidification and solar heat collection utilizing renewable energy. Energy and Buildings 195:139–48. doi:10.1016/j.enbuild.2019.04.039.
   Web of Science ®Google Scholar
• Lee, H. C., and C. T. Chang. 2018. Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan. Renewable and Sustainable Energy Reviews 92:883–96. doi:10.1016/j.rser.2018.05.007.
   Web of Science ®Google Scholar
• Li, M., J. Cao, M. Xiong, J. Li, X. Feng, and F. Meng. 2018. Different responses of cooling energy consumption in office buildings to climatic change in major climate zones of China. Energy and Buildings 173:38–44. doi:10.1016/j.enbuild.2018.05.037.
   Web of Science ®Google Scholar
• Lin, R. J. 2013. Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production 40:32–39. doi:10.1016/j.jclepro.2011.06.010.
   Web of Science ®Google Scholar
• Lu, J., G. He, and F. Mao. 2020. Solar seasonal thermal energy storage for space heating in residential buildings: optimization and comparison with an air-source heat pump. Energy Sources, Part B: Economics, Planning, and Policy 15 (5):279–96. doi:10.1080/15567249.2020.1786192.
   Web of Science ®Google Scholar
• Luthra, S., K. Govindan, R. K. Kharb, and S. K. Mangla. 2016. Evaluating the enablers in solar power developments in the current scenario using fuzzy DEMATEL: an Indian perspective. Renewable and Sustainable Energy Reviews 63:379–97. doi:10.1016/j.rser.2016.04.041.
   Web of Science ®Google Scholar
• Luthra, S., S. K. Mangla, F. T. Chan, and V. G. Venkatesh. 2018. Evaluating the drivers to information and communication technology for effective sustainability initiatives in supply chains. International Journal of Information Technology & Decision Making 17 (1):311–38. doi:10.1142/S0219622017500419.
   Web of Science ®Google Scholar
• Mujan, I., A. Anđelković, V. Munćan, M. Kljajić, and D. R. Serbia. 2019. Influence of indoor environmental quality on human health and productivity-a review. Journal of Cleaner Production 217:646–57. doi:10.1016/j.jclepro.2019.01.307.
   Web of Science ®Google Scholar
• Neofytou, H., Y. Sarafidis, N. Gkonis, S. Mirasgedis, and D. Askounis. 2020. Energy efficiency contribution to sustainable development: A multi-criteria approach in Greece. Energy Sources, Part B: Economics, Planning, and Policy 1–33.
   Web of Science ®Google Scholar
• Ocampo, L. A., J. J. T. Labrador, A. M. B. Jumao-as, and A. M. O. Rama. 2020. Integrated multiphase sustainable product design with a hybrid quality function deployment–multi-attribute decision-making (QFD-MADM) framework. Sustainable Production and Consumption 24:62–78. doi:10.1016/j.spc.2020.06.013.
   Web of Science ®Google Scholar
• Patlitzianas, K. D., and A. Flamos. 2016. Driving forces for renewable development in GCC countries. Energy Sources, Part B: Economics, Planning, and Policy 11 (3):244–50. doi:10.1080/15567249.2011.616571.
   Web of Science ®Google Scholar
• Qarnain, S. S., S. Muthuvel, and S. Bathrinath. 2020a. Analyzing factors necessitating conservation of energy in residential buildings of Indian subcontinent: A DEMATEL approach. Materials Today: Proceedings. doi:10.1016/j.matpr.2020.02.039.
   Google Scholar
• Qarnain, S. S., S. Muthuvel, and S. Bathrinath. 2020b. Review on government action plans to reduce energy consumption in buildings amid COVID-19 pandemic outbreak. Materials Today: Proceedings. doi:10.1016/j.matpr.2020.04.723.
   Google Scholar
• Qarnain, S. S., S. Muthuvel, and S. Bathrinath. 2020c. Modelling of driving factors for energy efficiency in buildings using best worst method. Materials Today: Proceedings. doi:10.1016/j.matpr.2020.06.400
   Google Scholar
• Qarnain, S. S., S. Muthuvel, S. Bathrinath, and S. Saravanasankar. 2020d. Analyzing factors in emerging computer technologies favoring energy conservation of building sector. Materials Today: Proceedings. doi:10.1016/j.matpr.2020.05.121.
   Google Scholar
• Qarnain, S. S., M. Sattanathan, B. Sankaranarayanan, and S. M. Ali. 2020e. Analyzing energy consumption factors during coronavirus (COVID-19) pandemic outbreak: A case study of residential society. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 1–20. doi:10.1080/15567036.2020.1859651.
   Web of Science ®Google Scholar
• Qi, R., C. Dong, and L. Z. Zhang. 2020. A review of liquid desiccant air dehumidification: From system to material manipulations. Energy and Buildings 109897.
   Google Scholar
• Samuel, D. L., S. S. Nagendra, and M. P. Maiya. 2019. A sensitivity analysis of the design parameters for thermal comfort of thermally activated building system. Sādhanā 44 (2):48. doi:10.1007/s12046-018-1033-5.
   Web of Science ®Google Scholar
• Santamouris, M., N. Papanikolaou, I. Livada, I. Koronakis, C. Georgakis, A. Argiriou, and D. N. Assimakopoulos. 2001. On the impact of urban climate on the energy consumption of buildings. Solar Energy 70 (3):201–16. doi:10.1016/S0038-092X(00)00095-5.
   Web of Science ®Google Scholar
• Satrio, P., T. M. I. Mahlia, N. Giannetti, and K. Saito. 2019. Optimization of HVAC system energy consumption in a building using artificial neural network and multi-objective genetic algorithm. Sustainable Energy Technologies and Assessments 35:48–57. doi:10.1016/j.seta.2019.06.002.
   Web of Science ®Google Scholar
• Shamsuzzoha, A., S. Piya, and M. Shamsuzzaman. 2021. Application of fuzzy TOPSIS framework for selecting complex project in a case company. Journal of Global Operations and Strategic Sourcing 14 (3):528–66. doi:10.1108/JGOSS-07-2020-0040.
   Google Scholar
• Shuibul Qarnain, S., M. Sattanathan, and B. Sankaranarayanan. 2020. Analysis of social inequality factors in implementation of building energy conservation policies using fuzzy analytical hierarchy process methodology. International Journal of Sustainable Energy Planning and Management 29:153–70. doi:10.5278/ijsepm.3616.
   Google Scholar
• Si, S. L., X. Y. You, H. C. Liu, and P. Zhang. 2018. DEMATEL technique: A systematic review of the state-of-the-art literature on methodologies and applications. Mathematical Problems in Engineering 2018.
   Web of Science ®Google Scholar
• Soltanmohammadi, A., D. A. Ardakani, P. A. Dion, and B. D. Hettiarachchi. 2021. Employing total quality practices in sustainable supply chain management. Sustainable Production and Consumption 28:953–68. doi:10.1016/j.spc.2021.07.013.
   Web of Science ®Google Scholar
• Spyridaki, N. A., V. Stavrakas, Y. Dendramis, and A. Flamos. 2020. Understanding technology ownership to reveal adoption trends for energy efficiency measures in the Greek residential sector. Energy Policy 140:111413. doi:10.1016/j.enpol.2020.111413.
   Web of Science ®Google Scholar
• UNECE. 2017. Energy for sustainable development in the UNECE region. https://www.unece.org/fileadmin/DAM/energy/se/pdfs/comm_gen/Publications/2017/UNECESustainableEnergyPub.pdf
   Google Scholar
• UNECE. 2018. United Nations Economic Commission for Europe joint task force on energy efficiency standards in buildings, mapping of existing energy efficiency standards and technologies in buildings in the UNECE region. https://www.unece.org/fileadmin/DAM/hlm/Meetings/2018/09_0507_St._Petersburg/EE_Standards_in_Buildings_full_version.ENG.pdf
   Google Scholar
• UNECE. 2020. Promoting energy efficiency standards and technologies to enhance energy efficiency in buildings, Geneva 2020 http://www.unece.org/fileadmin/DAM/energy/pub/ECE.ENERGY.121.pdf
   Google Scholar
• United Nations economic and social council, committee on sustainable energy. Energy efficiency standards in buildings, Geneva. Accessed November 1, 2017. Framework guidelines for energy efficiency standards in buildings. https://www.unece.org/fileadmin/DAM/energy/se/pdfs/geee/geee4_Oct2017/ECE_ENERGY_GE.6_2017_4_EEBuildingGuidelines_final.pdf
   Google Scholar
• United Nations Economic Commission for Europe. 2018. Joint task force on energy efficiency standards in buildings, mapping of existing energy efficiency standards and technologies in buildings in the UNECE region, Geneva. https://www.unece.org/fileadmin/DAM/energy/se/pdfs/eneff/publ/Mapping_of_EE_Standards_in_Buildings_09.08.2018/Info_doc_4_EE_standards_mapping.pdf
   Google Scholar
• United Nations environment, global status report. 2017. https://www.worldgbc.org/sites/default/files/UNEP%20188_GABC_en%20%28web%29.pdf
   Google Scholar
• Venkatesh, V. G., A. Zhang, S. Luthra, R. Dubey, N. Subramanian, and S. Mangla. 2017. Barriers to coastal shipping development: an Indian perspective. Transportation Research Part D: Transport and Environment 52:362–78. doi:10.1016/j.trd.2017.03.016.
   Web of Science ®Google Scholar
• Voskoglou, M. 2015. Use of the triangular fuzzy numbers for student assessment. arXiv preprint arXiv:1507.03257.
   Google Scholar
• Wang, L., G. Ma, and F. Zhou. 2020. Influences of compressor displacement ratio on dual-loop heat pump system for ventilation heat recovery. Energy and Buildings 223:110149. doi:10.1016/j.enbuild.2020.110149.
   Web of Science ®Google Scholar
• Xu, Z. 2012. Linguistic decision making. Berlin Heidelberg: Springer.
   Google Scholar
• Yan, D., T. Hong, C. Li, Q. Zhang, J. An, and S. Hu. 2017. A thorough assessment of China’s standard for energy consumption of buildings. Energy and Buildings 143:114–28. doi:10.1016/j.enbuild.2017.03.019.
   Web of Science ®Google Scholar
• Young, R. 2014. Global approaches: A comparison of building energy codes in 15 countries. American Council for an Energy-Efficient Economy Summer Study on Energy Efficiency in Buildings 3:351–66.
   Google Scholar
• Yu, J., T. Zhang, and J. Qian. 2011. Electrical motor products: international energy-efficiency standards and testing methods. Elsevier.
   Google Scholar
• Zhao, G., R. I. Ahmed, N. Ahmad, C. Yan, and M. S. Usmani. 2021. Prioritizing critical success factors for sustainable energy sector in China: A DEMATEL approach. Energy Strategy Reviews 100635.
   Google Scholar
• Zheng, D., L. Yu, L. Wang, and J. Tao. 2019. A screening methodology for building multiple energy retrofit measures package considering economic and risk aspects. Journal of Cleaner Production 208:1587–602. doi:10.1016/j.jclepro.2018.10.196.
   Web of Science ®Google Scholar