Evaluating the Environmental Footprint: BPE Framework for Sustainable and Energy-Efficient Residential Buildings in India
Keywords:Building Performance Evaluation, Residential Building Performance Improvement Framework, Occupant feedback, Building Sector
In the context of enhancing building performance assessment, this study introduces the BPE (Building Performance Evaluation) framework and explores its application through a residential complex in India. An expert evaluation of the questionnaire is carried out to investigate the main element and obstacles to the execution of BPE. The framework, designed to scrutinize five parameters, initially assesses design aspects, including building form, orientation, and aesthetics. Findings reveal that the building design lacks efficient circulation, storage facilities, and satisfactory spatial allocation. Building energy monitoring, essential for comprehensive analysis, faces limitations due to insufficient data availability, emphasizing the need for thorough planning. Thermal comfort analysis, based on temperature and humidity measurements, unveils significant fluctuations beyond comfort thresholds. Expert surveys and occupant feedback further expose reduced utilization of natural ventilation, high air conditioner adoption rates, and adaptive behaviours. The framework's insights prompt opportunities for improvement, yet validation requires broader application across diverse buildings. The study's academic survey emphasizes the importance of integrating BPE in industries with government policies. Field observations highlight challenges in space utilization, material selection, and occupant engagement. This study's findings underscore the BPE-RBPI framework's potential to refine performance assessment, sustainable and energy efficient to foster industry confidence, and drive holistic improvements in India's building sector.
Dos Santos, A.L.T.; Villa, S. B.; Garcia, G. M.; Leão, C. R. Incorporation of post-occupancy evaluation in building information modeling: a case study in Brazil. Architectural Engineering and Design Management, 2023, 1-19. [Cross Ref]
Tham, K.W.; Wargocki, P.; Tan, Y.F. Indoor environmental quality, occupant perception, prevalence of sick building syndrome symptoms, and sick leave in a Green Mark Platinum-rated versus a non-Green Mark-rated building: A case study. Science and Technology for the Built Environment2015, 21, 35–44. [Cross Ref]
Alborz, N.; Berardi, U. A post occupancy evaluation framework for LEED certified US higher education residence halls. Procedia Eng. 2015, 118, 19–27. [Cross Ref]
Gupta, R.; Gregg, M. Empirical evaluation of the energy and environmental performance of a sustainably-designed but under-utilized institutional building in the UK. Energy and Building2016, 128, 68–80. [Cross Ref]
Tannor, O.; Appau, W.M.; Attakora-Amaniampong, E. A post-occupancy evaluation of in-house facilities management service quality and user satisfaction in multi-tenanted office buildings in Ghana. Facilities2023, Vol. ahead-of-print No. ahead-of-print. [Cross Ref]
Leaman, A.; Stevenson, F.; Bordass, B. Building evaluation: practice and principles. Build. Res. Inf.2010, 38, 564–577. [Cross Ref]
Sabapathy, A.; Ragavan, S.K.; Vijendra, M.; Nataraja, A.G. Energy efficiency benchmarks and the performance of LEED rated buildings for Information Technology facilities in Bangalore, India. Energy Build. 2010, 42, 2206–2212.
Preiser, W.F. Building performance assessment - from POE to BPE, a personal perspective. Archit. Sci. Rev.2005, 48, 201–204. [Cross Ref]
Li, P.; Froese, T.M.; Brager, G. Post-occupancy evaluation: State-of-the-art analysis and state-of-the-practice review. Building and Environment2018, 133, 187–202. [Cross Ref]
Maslova, S.; Burgess, G. Delivering human-centred housing: understanding the role of post-occupancy evaluation and customer feedback in traditional and innovative social housebuilding in England. Construction Management and Economics2023, 41(4), 277-292. [Cross Ref]
Carthey, J. Post occupancy evaluation: Development of a standardized methodology for Australian health projects. Int. J. Constr. Manag.2006, 6, 57–74. [Cross Ref]
Agee, P.; Gao, X.; Paige, F.; McCoy, A.; Kleiner, B. A human-centred approach to smart housing. Building research & information2021 49(1), 84-99. [Cross Ref]
Engelen, L.; Held, F. Understanding the office: Using ecological momentary assessment to measure activities, posture, social interactions, mood, and work performance at the workplace. Buildings2019, 9(2), 54. [Cross Ref]
Göçer, Ö.; Candido, C.; Thomas, L.; Göçer, K. Differences in occupants’ satisfaction and perceived productivity in high-and low-performance offices. Buildings2019, 9(9), 199. [Cross Ref]
Lee, M.C.; Mui, K.W.; Wong, L.T.; Chan, W.Y.; Lee, E.W.; Cheung, C.T. Student learning performance and indoor environmental quality (IEQ) in air-conditioned university teaching rooms. Build. Environ.2012, 49, 238–244. [Cross Ref]
Wong, N.H.; Jan, W.L. Total building performance evaluation of academic institution in Singapore. Build. Environ.2003, 38, 161–176. [Cross Ref]
Durosaiye, I.O.; Hadjri, K.; Liyanage, C.L. A critique of post-occupancy evaluation in the UK. J Hous and the Built Environ , 2019, 34, 345–352. [Cross Ref]
Rasheed, E.O.; Khoshbakht, M.; Baird, G. Does the number of occupants in an office influence individual perceptions of comfort and productivity?—new evidence from 5000 office workers. Buildings, 2019, 9(3), 73. [Cross Ref]
AICTE. Model curriculum for postgraduate degree courses in engineering & technology Vol. I. Delhi, 2018a.
Al Mughairi, M.; Beach, T.; Rezgui, Y. Post-occupancy evaluation for enhancing building performance and automation deployment. Journal of Building Engineering2023, 107388. [Cross Ref]
Elsayed, M.; Pelsmakers, S.; Pistore, L.; Castaño-Rosa, R.; Romagnoni, P. Post-occupancy evaluation in residential buildings: A systematic literature review of current practices in the EU. Building and Environment2023,110307. [Cross Ref]
Indraganti, M. Thermal comfort in naturally ventilated apartments in summer: Findings from a field study in Hyderabad, India. Appl. Energy2010, 87, 866–883. [Cross Ref]
Indraganti, M. Using the adaptive model of thermal comfort for obtaining indoor neutral temperature: findings from a field study in Hyderabad, India. Build. Environ. 2010, 45, 519–536. [Cross Ref]
Kumar, S.; Mathur, J.; Mathur, S.; Singh, M.K.; Loftness, V. An adaptive approach to define thermal comfort zones on psychrometric chart for naturally ventilated buildings in composite climate of India. Build. Environ. 2016, 109, 135–153. [Cross Ref]
Dhaka, S.; Mathur, J. Quantification of thermal adaptation in air-conditioned buildings of composite climate, India. Build. Environ.2017, 112, 296–307. [Cross Ref]
Manu, S.; Shukla, Y.; Rawal, R.; Thomas, L.E.; De Dear, R. Field studies of thermal comfort across multiple climate zones for the subcontinent: India Model for Adaptive Comfort (IMAC). Build. Environ.2016, 98, 55–70. [Cross Ref]
Bhanware, P.; Jaboyedoff, P.; Chetia, S.; Maithel, S.; Reddy, B. Case study of an energy efficient commercial building: Validating design intent and energy simulation results with monitored performance data. Inspire (Jaipur: India), 2017.
Thomas, L.E. Combating overheating: mixed-mode conditioning for workplace comfort. Build. Res. Inf.2017, 45, 176–194. [Cross Ref]
Gupta, R.; Gregg, M.; Passmore, S.; Stevens, G. Intent and outcomes from the Retrofit for the Future programme: key lessons. Build. Res. Inf.2015, 43, 435–451. [Cross Ref]
Othman, A.A.; Elsaay, H. A learning-based framework adopting post occupancy evaluation for improving the performance of architectural design firms. J. Eng. Des. Technol., 2018. [Cross Ref]
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