COMPARATIVE ANALYSIS OF BUILDING ENERGY PERFORMANCE IN MALAYSIA: A MULTIPLE LINEAR REGRESSION STUDY ON GREEN VS. CONVENTIONAL BUILDINGS
DOI:
https://doi.org/10.11113/jest.v7.177Keywords:
building energy intensity; green building; conventional building; sustainable; energy saving.Abstract
This study presents a detailed comparison of energy consumption between green and conventional commercial buildings by analyzing actual energy usage against benchmarks derived using Multiple Linear Regression (MLR) and Building Energy Intensity (BEI). MLR, selected for its statistical robustness and ease of implementation, incorporates variables such as Cooling Degree Days (CDD), temperature, humidity, rainfall intensity, wind speed, and number of working days as independent factors. The study evaluates energy consumption across 20 office buildings in Klang Valley, Malaysia, from 2019 to 2023. The findings indicate that both green and conventional buildings generally consumed less energy than their benchmarks. In terms of the difference between actual energy consumption and the benchmarks; green buildings recorded a narrower gap (26.49%) than conventional buildings (34.99%). However, green buildings consistently achieved superior energy efficiency, with BEI values ranging from 110 to 150, compared to 170 to 220 for conventional buildings. A notable reduction in energy usage occurred from 2020 to 2021 due to COVID-19-related remote work environment, though BEI slightly increased in 2023 with the normalization of operations. Energy label ratings further highlighted green buildings' superior performance, with 42% achieving a 4-star rating, while 80% of conventional buildings received only 2-star ratings. The results emphasize the importance of green building practices, demonstrating their long-term benefits in reducing energy consumption and achieving higher energy efficiency for sustainable living. This study offers valuable insights for policymakers, developers, and stakeholders, underscoring the need for sustained efforts in energy saving and innovation to enhance building energy performance.
References
F. S. Hafez et al., “Energy Efficiency in Sustainable Buildings: A Systematic Review with Taxonomy, Challenges, Motivations, Methodological Aspects, Recommendations, and Pathways for Future Research,” Energy Strategy Rev., vol. 45, p. 101013, Jan. 2023, doi: 10.1016/j.esr.2022.101013.
Jasspeed Singh, Vengadeshwaran Velu, Mohamed Aqeel Shafeek, and Umar Nirmal, “A Review on Building Energy Index (BEI) in Different Green Government Buildings (GGBs) in Malaysia,” Malays. J. Sci. Adv. Technol., pp. 46–56, Jun. 2021, doi: 10.56532/mjsat.v1i2.9.
S. R. S. Aldhshan, K. N. Abdul Maulud, W. S. Wan Mohd Jaafar, O. A. Karim, and B. Pradhan, “Energy Consumption and Spatial Assessment of Renewable Energy Penetration and Building Energy Efficiency in Malaysia: A Review,” Sustainability, vol. 13, no. 16, p. 9244, Aug. 2021, doi: 10.3390/su13169244.
D. F. C. Hung, “An Overview of Green Building Rating Tools in Malaysia”.
C. Maduta, D. D’Agostino, S. Tsemekidi-Tzeiranaki, L. Castellazzi, G. Melica, and P. Bertoldi, “Towards climate neutrality within the European Union: Assessment of the Energy Performance of Buildings Directive implementation in Member States,” Energy Build., vol. 301, p. 113716, Dec. 2023, doi: 10.1016/j.enbuild.2023.113716.
N. A. Ahmad, M. H. Dzulkefli, GFM Services Berhad, Jalan Bandar Melawati, Taman Melawati, 53100 Kuala Lumpur, Malaysia, F. Abdul Rahim, and Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia (UTM), Jalan Sultan Yahya Petra, Kuala Lumpur, 54100, Malaysia, “Assessing the Energy Performance of Public University in Malaysia by using Energy Conservation Measure (ECM): A Case Study of UiTM Tapah, Malaysia,” Int. J. Sustain. Constr. Eng. Technol., vol. 14, no. 3, Sep. 2023, doi: 10.30880/ijscet.2023.14.03.027.
X. Y. Tan, N. Mahyuddin, and S. M. Zaid, “Efficacy of Energy Conservation Measures and Building Energy Intensity of a Multi-Building Complex in Malaysia,” E3S Web Conf., vol. 396, p. 03004, 2023, doi: 10.1051/e3sconf/202339603004.
N. Y. Dahlan et al., “Energy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performances,” J. Build. Eng., vol. 45, p. 103460, Jan. 2022, doi: 10.1016/j.jobe.2021.103460.
Jasspeed Singh, Vengadeshwaran Velu, Mohamed Aqeel Shafeek, and Umar Nirmal, “A Review on Building Energy Index (BEI) in Different Green Government Buildings (GGBs) in Malaysia,” Malays. J. Sci. Adv. Technol., pp. 46–56, Jun. 2021, doi: 10.56532/mjsat.v1i2.9.
S. Birkha Mohd Ali, M. Hasanuzzaman, N. A. Rahim, M. A. A. Mamun, and U. H. Obaidellah, “Analysis of energy consumption and potential energy savings of an institutional building in Malaysia,” Alex. Eng. J., vol. 60, no. 1, pp. 805–820, Feb. 2021, doi: 10.1016/j.aej.2020.10.010.
N. A. Ramli, M. F. A. Hamid, and H. G. A. Richard, “ENERGY EFFICIENCY MEASURES ON TWO DIFFERENT COMMERCIAL BUILDINGS IN MALAYSIA,” vol. 10, no. 1, 2019.
S. Mohd Aris, N. Y. Dahlan, M. N. Mohd Nawi, T. Ahmad Nizam, and M. Z. Tahir, “QUANTIFYING ENERGY SAVINGS FOR RETROFIT CENTRALIZED HVAC SYSTEMS AT SELANGOR STATE SECRETARY COMPLEX,” J. Teknol., vol. 77, no. 5, Nov. 2015, doi: 10.11113/jt.v77.6125.
S. Moghimi, F. Azizpour, S. Mat, C. H. Lim, E. Salleh, and K. Sopian, “Building energy index and end-use energy analysis in large-scale hospitals—case study in Malaysia,” Energy Effic., vol. 7, no. 2, pp. 243–256, Apr. 2014, doi: 10.1007/s12053-013-9221-y.
M. Z. Tahir, R. Jamaludin, M. Nasrun, M. Nawi, N. H. Baluch, and S. Mohtar, “BUILDING ENERGY INDEX (BEI): A STUDY OF GOVERNMENT OFFICE BUILDING IN MALAYSIAN PUBLIC UNIVERSITY,” no. 4.
N. Y. Dahlan et al., “Energy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performances,” J. Build. Eng., vol. 45, p. 103460, Jan. 2022, doi: 10.1016/j.jobe.2021.103460.
S. Dongmei, “Research and Application of Energy Consumption Benchmarking Method for Public Buildings Based on Actual Energy Consumption,” Energy Procedia, vol. 152, pp. 475–483, Oct. 2018, doi: 10.1016/j.egypro.2018.09.256.
K. I. Morris, “COMPUTATIONAL STUDY OF KLANG VALLEY’S URBAN CLIMATOLOGY, AND URBANISATION OF PUTRAJAYA CITY, MALAYSIA”.
E. Mantesi, K. Chmutina, and C. Goodier, “The office of the future: Operational energy consumption in the post-pandemic era,” Energy Res. Soc. Sci., vol. 87, p. 102472, May 2022, doi: 10.1016/j.erss.2021.102472.
R. Olu-Ajayi, H. Alaka, I. Sulaimon, F. Sunmola, and S. Ajayi, “Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques,” J. Build. Eng., vol. 45, p. 103406, Jan. 2022, doi: 10.1016/j.jobe.2021.103406.
O. Ibrahim and M. Mohammed, “A proposed method for cleaning data from outlier values using the robust RFCH method in structural equation modeling,” Int. J. Nonlinear Anal. Appl., vol. 12, no. 2, Jul. 2021, doi: 10.22075/ijnaa.2021.5374.
A. Hussien, W. Khan, A. Hussain, P. Liatsis, A. Al-Shamma’a, and D. Al-Jumeily, “Predicting energy performances of buildings’ envelope wall materials via the random forest algorithm,” J. Build. Eng., vol. 69, p. 106263, Jun. 2023, doi: 10.1016/j.jobe.2023.106263.
G. Sahin, G. Isik, and W. G. J. H. M. Van Sark, “Predictive modeling of PV solar power plant efficiency considering weather conditions: A comparative analysis of artificial neural networks and multiple linear regression,” Energy Rep., vol. 10, pp. 2837–2849, Nov. 2023, doi: 10.1016/j.egyr.2023.09.097.
D. Chicco, M. J. Warrens, and G. Jurman, “The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation,” PeerJ Comput. Sci., vol. 7, p. e623, Jul. 2021, doi: 10.7717/peerj-cs.623.
A. T. Nguyen, Y. Ahn, S. Park, S. Park, and D. H. Pham, “Meta learning regression framework for energy consumption prediction in retrofitted buildings: A case study of South Korea,” J. Build. Eng., p. 110403, Aug. 2024, doi: 10.1016/j.jobe.2024.110403.
G. Li et al., “The synergistic effect of multiple design factors on building energy consumption of office blocks: A case study of Wuhan, China,” J. Build. Eng., vol. 95, p. 110200, Oct. 2024, doi: 10.1016/j.jobe.2024.110200.
X. Zhou, Y. Mei, L. Liang, H. Mo, J. Yan, and D. Pan, “Modeling of occupant energy consumption behavior based on human dynamics theory: A case study of a government office building,” J. Build. Eng., vol. 58, p. 104983, Oct. 2022, doi: 10.1016/j.jobe.2022.104983.
S. Su, J. Li, J. Yuan, M. Tang, E. Wang, and Y. Ding, “How can energy saving culture of a company influence energy behaviors and consumptions in its offices? A simulation and optimization model,” J. Build. Eng., vol. 58, p. 105011, Oct. 2022, doi: 10.1016/j.jobe.2022.105011.
Q. Li, R. Long, H. Chen, F. Chen, and J. Wang, “Visualized analysis of global green buildings: Development, barriers and future directions,” J. Clean. Prod., vol. 245, p. 118775, Feb. 2020, doi: 10.1016/j.jclepro.2019.118775.
M. S. Geraldi, M. V. Bavaresco, M. A. Triana, A. P. Melo, and R. Lamberts, “Addressing the impact of COVID-19 lockdown on energy use in municipal buildings: A case study in Florianópolis, Brazil,” Sustain. Cities Soc., vol. 69, p. 102823, Jun. 2021, doi: 10.1016/j.scs.2021.102823.
J. Rouleau and L. Gosselin, “Impacts of the COVID-19 lockdown on energy consumption in a Canadian social housing building,” Appl. Energy, vol. 287, p. 116565, Apr. 2021, doi: 10.1016/j.apenergy.2021.116565.
B. M. Deiss, M. Herishko, L. Wright, M. Maliborska, and J. P. Abulencia, “Analysis of Energy Consumption in Commercial and Residential Buildings in New York City before and during the COVID-19 Pandemic,” Sustainability, vol. 13, no. 21, p. 11586, Oct. 2021, doi: 10.3390/su132111586.
S. S. Ab. Azis, “Improving present-day energy savings among green building sector in Malaysia using benefit transfer approach: Cooling and lighting loads,” Renew. Sustain. Energy Rev., vol. 137, p. 110570, Mar. 2021, doi: 10.1016/j.rser.2020.110570.
X. Wu, B. Lin, G. Papachristos, P. Liu, and N. Zimmermann, “A holistic approach to evaluate building performance gap of green office buildings: A case study in China,” Build. Environ., vol. 175, p. 106819, May 2020, doi: 10.1016/j.buildenv.2020.106819.
Q. J. Kwong, “Light level, visual comfort and lighting energy savings potential in a green-certified high-rise building,” J. Build. Eng., vol. 29, p. 101198, May 2020, doi: 10.1016/j.jobe.2020.101198.
N. A. Hmidah, N. A. Bin Haron, A. A. Hizami, T. H. Law, and A. B. A. Altohami, “Energy Consumption of Retrofitting Existing Public Buildings in Malaysia under BIM Approach: Pilot Study,” Sustainability, vol. 15, no. 13, p. 10293, Jun. 2023, doi: 10.3390/su151310293.
E. Alamin, N. Kamaruzaman, and H. M. Kamar, “A pragmatic retrofitting approach to enhancing the thermal, energy and economic performance of an educational building: a case study in Malaysia,” Clean Energy, vol. 7, no. 6, pp. 1282–1299, Dec. 2023, doi: 10.1093/ce/zkad055.
L. D. Hung Anh and Z. Pásztory, “An overview of factors influencing thermal conductivity of building insulation materials,” J. Build. Eng., vol. 44, p. 102604, Dec. 2021, doi: 10.1016/j.jobe.2021.102604.
K. Gaspar et al., “Assessing the impact of the COVID-19 lockdown on the energy consumption of university buildings,” Energy Build., vol. 257, p. 111783, Feb. 2022, doi: 10.1016/j.enbuild.2021.111783.
H. Kang, J. An, H. Kim, C. Ji, T. Hong, and S. Lee, “Changes in energy consumption according to building use type under COVID-19 pandemic in South Korea,” Renew. Sustain. Energy Rev., vol. 148, p. 111294, Sep. 2021, doi: 10.1016/j.rser.2021.111294.
N. D. Cortiços and C. C. Duarte, “Energy efficiency in large office buildings post-COVID-19 in Europe’s top five economies,” Energy Sustain. Dev., vol. 68, pp. 410–424, Jun. 2022, doi: 10.1016/j.esd.2022.04.006.
K. Li et al., “Carbon reduction in commercial building operations: A provincial retrospection in China,” Appl. Energy, vol. 306, p. 118098, Jan. 2022, doi: 10.1016/j.apenergy.2021.118098.
M. H. Al-Sabahi, M. A. Ismail, A. M. Alashwal, and K. M. Al-Obaidi, “Triangulation Method to Assess Indoor Environmental Conditions and Occupant Comfort and Productivity towards Low Energy Buildings in Malaysia,” Buildings, vol. 12, no. 11, p. 1788, Oct. 2022, doi: 10.3390/buildings12111788.
N. Jaffar, N. I. N. Affendi, I. Mohammad Ali, N. Ishak, and A. S. Jaafar, “Barriers of Green Building Technology Adoption in Malaysia: Contractors’ Perspective,” Int. J. Acad. Res. Bus. Soc. Sci., vol. 12, no. 8, p. Pages 1552-1560, Aug. 2022, doi: 10.6007/IJARBSS/v12-i8/14490.
B. Manzoor, I. Othman, S. S. S. Gardezi, and E. Harirchian, “Strategies for Adopting Building Information Modeling (BIM) in Sustainable Building Projects—A Case of Malaysia,” Buildings, vol. 11, no. 6, p. 249, Jun. 2021, doi: 10.3390/buildings11060249.