IJEP 46(4): 326-341 : Vol. 46 Issue. 4 (April 2026)
Eswary Devi T.1*, Sudhakar S.2, Siva M.3 and Ramshankar P.4
1. Rajalakshmi Engineering College, Department of Civil Engineering, Chennai – 602 105, Tamil Nadu,India
2. Sandip University, Department of Civil Engineering, Nashik – 422 213, Maharashtra, India
3. Easwari Engineering College, Department of Civil Engineering, Chennai – 600 089, Tamil Nadu, India
4. R.M.K. Engineering College, Department of Civil Engineering, Chennai – 601 206, Tamil Nadu, India
Abstract
The increasing emphasis on sustainability and energy efficiency in the construction industry has positioned retrofitting as a crucial approach for minimizing energy use in existing buildings. This study aimed to enhance the energy efficiency of a typical residential building in Chennai, India, by altering the assumed specifications. Building simulations and energy analysis were carried out using Revit Architecture and EnergyPlus software. Overall, 72 EnergyPlus simulations were conducted, considering 11 factors, including wall and roof materials, building orientation, window-to-wall proportions, window shades, occupancy management and daylighting, infiltration, HVAC (heating, ventilation and air conditioning), operating schedule, lighting efficiency and plug load efficiency. Each factor had 4 to 9 variation levels, which can significantly impact the building’s energy efficiency. Optimizing these factors reduced the building’s cooling load from 148 to 78.9 kWh/m2, achieving a 46.7% reduction in energy usage. Hence, it was evident that appropriate choices of construction materials, building orientation, natural ventilation and lighting and equipment selection and utilization could augment energy efficiency in buildings. This significant improvement underscores the potential for integrated design approaches to serve as powerful energy conservation measures, with environmental significance in supporting broader goals of climate resilience, environmental stewardship and sustainable urban development.
Keywords
Energy efficiency, Sustainable retrofitting, Building information modelling, EnergyPlus, Environmental impact
References
- Devi, E., Thangavelu and Rangasamy, P. 2020. Hydrothermal liquefaction of Nostoc ellipsosporum biomass grown in municipal wastewater under optimized conditions for bio-oil production. Bioresour. Tech., 316:123943. DOI: 10.1016/j.biortech.202 0.123943.
- Sadeghifam, A. N., Meynagh, M. M., Tabatabaee, S., Mahdiyar, A., Memari, A. and Ismail, S. 2019. Assessment of the building components in the energy efficient design of tropical residential buildings: An application of BIM and statistical Taguchi method. Energy. 188:116080. DOI: 10.1016/j. energy.2019.116080.
- Khairunnisa, A.R., Yusof, M.Z.M., Salleh, M.N.M. and Leman, A.M. 2015. The development of energy efficiency estimation system (EEES) for sustainable development: A proposed study. Energy Procedia. 79: 513–519. DOI: 10.1016/j.egypro.20 15.11.527.
- Ansah, M.K., Chen, X., Yang, H., Lu, L. and Lam, P.T.I. 2021. Developing an automated BIM-based life cycle assessment approach for modularly designed high-rise buildings. Env. Impact Assess. Review. 90: 106618. DOI: 10.1016/j.eiar.2021.106618.
- Alwan, Z., Nawarathna, A., Ayman, R., Zhu, M. and El-Ghazi, Y. 2021. Framework for parametric assessment of operational and embodied energy impacts utilizing BIM. J. Build. Eng., 42: 102768. DOI: 10.1016/j.jobe.2021.102768.
- Xu, X., Mumford, T. and Zou, P.X.W. 2021. Life-cycle building information modelling (BIM) engaged framework for improving building energy performance. Energy Build., 231: 110496. DOI: 10.1016/j.enbuild.2020.110496.
- Carvalho, J.P., Bragança, L. and Mateus, R. 2021. Sustainable building design: Analysing the feasibility of BIM platforms to support practical building sustainability assessment. Computers Ind., 127: 103400. DOI: 10.1016/j.compind.2021.103400.
- Sadeghifam, A. N., Zahraee, S. M., Meynagh, M. M. and Kian, I. 2015. Combined use of design of experiment and dynamic building simulation in assessment of energy efficiency in tropical residential buildings. Energy Build., 86: 525–533.
- Ahmed, W. and Asif, M. 2020. BIM-based techno-economic assessment of energy retrofitting residential buildings in hot humid climate. Energy Build., 227: 110406. DOI: 10.1016/j.enbuild. 2014.10.0 52.
- Sedlakova, A., Vilcekova, S. and Krídlova B.E. 2015. Analysis of material solutions for design of construction details of foundation, wall and floor for energy and environmental impacts. Clean Tech. Env. Policy. 17(5): 1323-32. DOI: 10.1016/j.enbuild. 2020.110406.
- Mirrahimi, S., Mohamed, M. F., Haw, L. C., Ibrahim, N. L. N., Yusoff, W. F. M. and Aflaki, A. 2016. The effect of building envelope on the thermal comfort and energy saving for high-rise buildings in hot–humid climate. Renew. Sustain. Energy Reviews. 53: 1508–1519. DOI: 10.10 16/j.rser.2015.09.055.
- De Boeck, L., Verbeke, S., Audenaert, A. and De Mesmaeker, L. 2015. Improving the energy performance of residential buildings: A literature review. Renewable Sustain. Energy Reviews. 52: 960–975. DOI: 10.1016/j.rser.2015.07.037.
- Wong, S. L., Wan, K. K. W., Li, D. H. W. and Lam, J. C. 2010. Impact of climate change on residential building envelope cooling loads in subtropical climates. Energy Build., 42(11): 2098–2103. DOI: 10.1016/j.enbuild.2010.06.021.
- Braulio-Gonzalo, M. and Bovea, M.D. 2017. Environmental and cost performance of building’s envelope insulation materials to reduce energy demand: Thickness optimization. Energy Build., 150: 527-545. DOI: 10.1016/j.enbuild.2017.06.005.
- Kneifel, J., Healy, W., Filliben, J. and Boyd, M. 2015. Energy performance sensitivity of a net-zero energy home to design and use specifications. J. Build. Perfor. Simulation. 1–14. doi:10.1080/19401493. 2014.995708.
- Pilli-Sihvola, K., Aatola, P., Ollikainen, M., Tuomen-virta, H. 2010. Climate change and electricity consumption—Witnessing increasing or decreasing use and costs. Energy Policy. 38: 2409–2419. DOI: 10.1016/j.enpol.2009.12.033.
- Apergis, N. and Payne, J.E. 2012. Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model. Energy Econ., 34: 733–738. DOI: 10.1016 /j.eneco. 2011.04.007.
- Baqer, A. and Moncef, K. 2016. Impact of subsidization on high energy performance designs for Kuwaiti residential buildings. Energy Build., 116(15): 249-262. DOI: 10.1016/j.enbuild.2016.01. 018.
- Semprini, G., Marinosci, C., Ferrante, A., Predari, G., Mochi, G., Garai, M. and Gulli, R. 2016. Energy management in public institutional and educational buildings: the case of the school of engineering and architecture in Bologna. Energy Build., 126: 365–374. DOI: 10.1016/j.enbuild.20 16.05.009.
- Auffhammer, M., Baylis, P., Hausman, C.H. 2017. Climate change is projected to have severe impacts on the frequency and intensity of peak electricity demand across the United States. Proceedings of the National Academy of Sciences. 114(8): 1886–1891. DOI: 10.1073/pnas.16 13193114.
- Saglam, N.G., Yilmaz, A.Z., Becchio, C. and Corgnati, S.P. 2017. Comprehensive cost-optimal approach for energy retrofit of existing multi-family buildings: Application to apartment blocks in Turkey. Energy Build., 150(1): 224-238. DOI: 10.1 016/j.enbuild.2017.06.026.
- Waite, M., Cohen, E., Torbey, H., Piccirilli, M., Tian, Y. and Modi, V. 2017. Global trends in urban electricity demands for cooling and heating. Energy. 127: 786–802. DOI: 10.1016/j.energy. 2017.03. 095.
- Leccese, F., Salvadori, G., Asdrubali, F. and Gori, P. 2018. Passive thermal behaviour of buildings: Performance of external multi-layered walls and influence of internal walls. Appl. Energy. 225: 1078–1089. DOI: 10.1016/j.apenergy.2018.05.090.
- Lidberg, M.G. Myhren, J.A., Olofsson, T. and Ödlund, L. 2018. Environmental impact of energy refurbishment of buildings within different district heating systems. Appl Energy. 227(1): 231-238. DOI: 10.1016/j.apenergy.2017.07.022.
- Charles, A., Maref, W., Ouellet-Plamondon, C.M. 2019. Case study of the upgrade of an existing office building for low energy consumption and low carbon emissions. Energy Build., 183 :151–160. DOI: 10.1016/j.enbuild.2018.10.008.
- Zaharia, A., Diaconeasa, M.C., Brad, L., Lãdaru, G.R. and Ioanãs, C. 2019. Factors influencing energy consumption in the context of sustainable development. Sustain., 11: 1-28. DOI: 10.339 0/su1 1154147.
- Liu, Z., Hou, J., Zhang, L., Dewancker, B.J., Meng, X. and Hou, C. 2022. Research on energy-saving factors adaptability of exterior envelopes of university teaching-office buildings under different climates (China) based on orthogonal design and EnergyPlus. Heliyon. 8(8): e10056. DOI: 10.1016/j.heliyon.2022.e10056.
- Abanda, F.H. and Byers, L. 2016. An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (building information modelling). Energy. 97: 517-527. DOI: 10.1016/j.energy.2015.12.135.
- Anbouhi, M.H., Farahza, N. and Ayatollahi, S.M.H. 2016. Analysis of thermal behaviour of materials in the building envelope using building information modelling (BIM) – A case study approach. Open J. Energy Efficiency. 5: 88-106. DOI: 10.4236/ojee. 2016.53009.
- Sanhudo, L., Ramos, Nuno M.M., Poças Martins, J., Almeida, R.M.S.F., Barreira, E., Lurdes Simões, M. and Cardoso, V. 2018. Building information modelling for energy retrofitting – A review. Renew. Sustain. Energy Reviews. 89: 249-260. DOI: 10.1016/j.rser.2018.03.064.
- Amani, N. and Soroush, A.A.R. 2021. Building energy management using building information modelling: Evaluation of building components and construction materials. J. Renew. Energy Env., 8(2): 31-38. DOI: 10.30501/jree.2020.236391.1120.
- Ratajczak, J., Siegele, D. and Niederwieser, E. 2023. Maximizing energy efficiency and daylight performance in office buildings in BIM through RBFOpt model-based optimization. Buildings. 13(7): 1790. DOI: 10.3390/buildings13071790.
- Pereira, V., Santos, J., Leite, F. and Escórcio, P. 2021. Using BIM to improve building energy efficiency – A scientometric and systematic review. Energy Build., 250: 111292. DOI: 10.101 6/j.en build.2021.111292.
- Guo, K., Li, Q., Zhang, L. and Wu, X. 2021. BIM-based green building evaluation and optimization: A case study. J. Clean. Prod., 320: 128824. DOI: 10.1016/j.jclepro.2021.128824.
- Paik, S.M., Leviakangas, P. and Choi, J. 2020. Making most of BIM in design: analysis of the importance of design coordination. Int. J. Construction. Manage., 22(12): 2225-2233. DOI: 10.1080/15623599.2020.1774837.
- Xie, Y., Mendon, V., Halverson, M., Bartlett, R., Hathaway, J., Chen, Y., Rosenberg, M., Taylor, T. and Liu, B. 2018. Assessing overall building energy performance of a large population of residential single-family homes using limited field data. J. Build. Perfor. Simulation. 12(4): 480-493. DOI: 10.1080/19401493.2018.1477833.
- Utkucu, D. and Sözer, H. 2020. Interoperability and data exchange within BIM platform to evaluate building energy performance and indoor comfort. Automation Construction. 116: 103225. DOI: 10.1016/j.autcon.2020.103225.
- Banihashemi, S., Golizadeh, H., Hosseini, M.R. and Shakouri, M. 2015. Climatic, parametric and non-parametric analysis of energy performance of double-glazed windows in different climates. Int. J. Sustain. Built Env., 4: 307–322. DOI: 10.1016/j.ijsbe.2015.09.002.
- Logue, J.M., Turner, W.J.N., Walker, I.S. and Singer, B.C. 2015. A simplified model for estimating population-scale energy impacts of building envelope air tightening and mechanical ventilation retrofits. J. Build. Perfor. Simulation. 9(1): 1–16. doi: 10.1080/19401493.2014.993 710.
- Fernandez, N., Katipamula, S., Wang, W., Huang, Y. and Liu, G. 2015. Energy savings modelling of re-tuning energy conservation measures in large office buildings. J. Build. Perfor. Simulation. 8(6): 391–407. DOI: 10.1080/19401493.2014.961032.