Technical Papers
Feb 21, 2023

Priority Weight-Based Systems to Predict Energy Consumption Behavior in Residential Buildings

Publication: Journal of Architectural Engineering
Volume 29, Issue 2

Abstract

As of 2020, an estimated 20% of energy was consumed by the residential sector. Different factors influence the energy usage of residential buildings. There are a significant number of studies to understand the implications of such factors on the energy consumption of domestic buildings. However, existing studies do not explicitly demonstrate the importance or connection between the variables. The objectives of this study are to determine the effectiveness of parameters that influence energy usage in residential concrete structures and to develop a priority weight-based system to determine energy consumption levels in residential buildings in developing tropical countries like Sri Lanka. In this study, the fuzzy analytical hierarchy process is utilized to develop the system by generating priority weights that account for parameter interrelationships and relevance. The novel identification system is developed considering four major parameters: building characteristics, characteristics of appliances and systems, characteristics of tenants’ behavior, and climatic characteristics. These major factors are further divided into subcategories. The priority weights of parameters are calculated based on the input of 100 experts. The subjectivity of the developed system is eliminated by using numerical descriptors. The proposed model can predict energy consumption levels in residential buildings and identify the influence of factors affecting energy consumption. Understanding and modifying home energy consumption behaviors are effective in promoting energy efficiency and energy conservation.

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Acknowledgments

The authors express their gratitude to the Department of Civil Engineering, Faculty of Engineering, General Sir John Kotelawala Defence University for providing technical assistance throughout this study.

References

Aksoezen, M., M. Daniel, U. Hassler, and N. Kohler. 2015. “Building age as an indicator for energy consumption.” Energy Build. 87: 74–86. https://doi.org/10.1016/j.enbuild.2014.10.074.
Aldossary, N. A., Y. Rezgui, and A. Kwan. 2014. “Domestic energy consumption patterns in a hot and humid climate: A multiple-case study analysis.” Appl. Energy 114: 353–365. https://doi.org/10.1016/j.apenergy.2013.09.061.
Alghoul, S. K. 2017. “A comparative study of energy consumption for residential HVAC systems using EnergyPlus.” Am. J. Mech. Ind. Eng. 2 (2): 98–103. https://doi.org/10.11648/j.ajmie.20170202.16.
Alghoul, S. K., K. R. Agha, A. S. Zgalei, and E. I. Dekam. 2018. “Energy saving measures of residential buildings in North Africa: Review and gap analysis.” Int. J. Recent Dev. Eng. Technol. 7 (11): 59–77.
Andersen, R. V., J. Toftum, K. K. Andersen, and B. W. Olesen. 2009. “Survey of occupant behaviour and control of indoor environment in Danish dwellings.” Energy Build. 41 (1): 11–16. https://doi.org/10.1016/j.enbuild.2008.07.004.
Auffhammer, M., and E. T. Mansur. 2014. “Measuring climatic impacts on energy consumption: A review of the empirical literature.” Energy Econ. 46: 522–530. https://doi.org/10.1016/j.eneco.2014.04.017.
Barr, S., A. W. Gilg, and N. Ford. 2005. “The household energy gap: Examining the divide between habitual- and purchase-related conservation behaviours.” Energy Policy 33 (11): 1425–1444. https://doi.org/10.1016/j.enpol.2003.12.016.
Becker, L. J., C. Seligman, R. H. Fazio, and J. M. Darley. 1981. “Relating attitudes to residential energy use.” Environ. Behav. 13 (5): 590–609. https://doi.org/10.1177/0013916581135004.
Branco, G., B. Lachal, P. Gallinelli, and W. Weber. 2004. “Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data.” Energy Build. 36 (6): 543–555. https://doi.org/10.1016/j.enbuild.2004.01.028.
Buckley, J. J. 1985. “Fuzzy hierarchical analysis.” Fuzzy Sets Syst. 17 (3): 233–247. https://doi.org/10.1016/0165-0114(85)90090-9.
Bhattacharjee, S., and G. Reichard. 2011. “Socio-economic factors affecting individual household energy consumption: A systematic review.” Energy Sustain. 54686: 891–901.
Chang, D. Y. 1996. “Applications of the extent analysis method on fuzzy AHP.” Eur. J. Oper. Res. 95 (3): 649–655.
Chen, J., and C. Ahn. 2014. “Assessing occupants’ energy load variation through existing wireless network infrastructure in commercial and educational buildings.” Energy Build. 82: 540–549. https://doi.org/10.1016/j.enbuild.2014.07.053.
Chiu, R. H., L. H. Lin, and S. C. Ting. 2014. “Evaluation of green port factors and performance: A fuzzy AHP analysis.” Math. Probl. Eng. 2014: 802976.
Dawodu, A., and A. Cheshmehzangi. 2017. “Impact of Floor Area Ratio (FAR) on energy consumption at Meso Scale in China: Case study of Ningbo.” Energy Procedia 105: 3449–3455. https://doi.org/10.1016/j.egypro.2017.03.789.
Dissanayake, R. 2012. “CEB must provide efficient service-minister.” Daily News. Accessed December 25, 2022. http://www.dailynews.lk.
DOE (US Department of Energy). 2015. “Building technologies office.” Energy.gov. Accessed September 19, 2021. http://www.energy.gov/eere/efficiency/buildings.
Estiri, H. 2014. “Building and household X-factors and energy consumption at the residential sector: A structural equation analysis of the effects of household and building characteristics on the annual energy consumption of US residential buildings.” Energy Econ. 43: 178–184. https://doi.org/10.1016/j.eneco.2014.02.013.
Fabi, V., R. V. Andersen, S. Corgnati, and B. W. Olesen. 2012. “Occupants’ window opening behaviour: A literature review of factors influencing occupant behaviour and models.” Build. Environ. 58: 188–198. https://doi.org/10.1016/j.buildenv.2012.07.009.
Geekiyanage, D., and T. Ramachandra. 2018. “A model for estimating cooling energy demand at early design stage of condominiums.” J. Build. Eng. 17: 43–51. https://doi.org/10.1016/j.jobe.2018.01.011.
Gifford, R., C. Kormos, and A. McIntyre. 2011. “Behavioral dimensions of climate change: Drivers, responses, barriers, and interventions.” WIREs Clim. Change 2 (6): 801–827. https://doi.org/10.1002/wcc.143.
Guerra-Santin, O., and L. Itard. 2010. “Occupants’ behaviour: Determinants and effects on residential heating consumption.” Build. Res. Inf. 38 (3): 318–338. https://doi.org/10.1080/09613211003661074.
Haas, R., H. Auer, and P. Biermayr. 1998. “The impact of consumer behavior on residential energy demand for space heating.” Energy Build. 27 (2): 195–205. https://doi.org/10.1016/S0378-7788(97)00034-0.
IEA (International Energy Agency). 2016. “Energy and air pollution, world energy outlook special report.” Accessed September 19, 2021. https://iea.blob.core.windows.net/assets/6b75c4ae-e633-4fa0-9569-b28e226e6103/WorldEnergyOutlookSpecialReport2016EnergyandAirPollution.pdf.
IEA (International Energy Agency). 2020. “Key world energy statistics 2020.” ebook. Accessed September 19, 2021. https://www.petrolfed.be/sites/default/files/editor/Key_World_Energy_Statistics_2020_0.pdf.
IEA (International Energy Agency). 2022. “Key world energy statistics 2021—analysis—IEA.” IEA. Accessed July 31, 2022. https://www.iea.org/reports/key-world-energy-statistics-2021.
Iraganaboina, N. C., and N. Eluru. 2021. “An examination of factors affecting residential energy consumption using a multiple discrete continuous approach.” Energy Build. 240: 110934. https://doi.org/10.1016/j.enbuild.2021.110934.
Iwatsubo, T. 2003. “Overview of energy demand and energy saving technologies in residential sector of Japan.” J. Jpn. Inst. Energy 82 (9): 636–641.
Jamasb, T., and H. Meier. 2010. “Household energy expenditure and income groups: evidence from Great Britain.” https://doi.org/10.17863/CAM.5268.
Jeuland, M., et al. 2021. “Is energy the golden thread? A systematic review of the impacts of modern and traditional energy use in low-and middle-income countries.” Renewable Sustainable Energy Rev. 135: 110406. https://doi.org/10.1016/j.rser.2020.110406.
Jones, R. V., A. Fuertes, and K. J. Lomas. 2015. “The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings.” Renewable Sustainable Energy Rev. 43: 901–917. https://doi.org/10.1016/j.rser.2014.11.084.
Keoleian, G. A., S. Blanchard, and P. Reppe. 2000. “Life-cycle energy, costs, and strategies for improving a single-family house.” J. Ind. Ecol. 4 (2): 135–156. https://doi.org/10.1162/108819800569726.
Kolahdoozan, S., and F. Leite. 2012. “Evaluating energy savings potential in United States residential buildings.” In Proc., Construction Research Congress 2012: Construction Challenges in a Flat World, 1780–1790. Reston, VA: ASCE.
Kuswandari, R. 2004. Assessment of different methods for measuring the sustainability of forest management. Enschede, Netherlands: International Institute for Geo-Information Science and Earth Observation.
Li, S., J. Meng, H. Zheng, N. Zhang, J. Huo, Y. Li, and D. Guan. 2021. “The driving forces behind the change in energy consumption in developing countries.” Environ. Res. Lett. 16 (5): 054002. https://doi.org/10.1088/1748-9326/abde05.
Lindén, A.-L., A. Carlsson-Kanyama, and B. Eriksson. 2006. “Efficient and inefficient aspects of residential energy behaviour: What are the policy instruments for change?” Energy Policy 34 (14): 1918–1927. https://doi.org/10.1016/j.enpol.2005.01.015.
Lutzenhiser, L. 1993. “Social and behavioral aspects of energy use.” Annu. Rev. Energy Env. 18 (1): 247–289. https://doi.org/10.1146/annurev.eg.18.110193.001335.
Ochoa, L., R. Ries, H. Matthews, and C. Hendrickson. 2005. “Life cycle assessment of residential buildings.” In Proc., Construction Research Congress 2005. Reston, VA: ASCE.
OECD, IEA. 2016. Energy and air pollution: World energy outlook special report 2016.
Owen, P. 2006. The rise of the machines: A review of energy using products in the home from the 1970s to today. London: Energy Saving Trust.
Papakostas, K. T., and B. A. Sotiropoulos. 1997. “Occupational and energy behaviour patterns in Greek residences.” Energy Build. 26 (2): 207–213. https://doi.org/10.1016/S0378-7788(97)00002-9.
Pareto, V. E., and M. P. Pareto. 2008. “The urban component of the energy crisis.” Urbanistica. https://doi.org/10.2139/ssrn.1221622.
Pathirana, S., A. Rodrigo, and R. Halwatura. 2019. “Effect of building shape, orientation, window to wall ratios and zones on energy efficiency and thermal comfort of naturally ventilated houses in tropical climate.” Int. J. Energy Environ. Eng. 10 (1): 107–120. https://doi.org/10.1007/s40095-018-0295-3.
Pedrycz, W., and S.-M. Chen, eds. 2015. Vol. 10 of Granular computing and decision-making: Interactive and iterative approaches. Switzerland: Springer.
Pérez-Lombard, L., J. Ortiz, and C. Pout. 2008. “A review on buildings energy consumption information.” Energy Build. 40 (3): 394–398. https://doi.org/10.1016/j.enbuild.2007.03.007.
Pushpakumara, B. H. J., S. De Silva, and G. H. M. J. S. De Silva. 2014. “Investigation on efficiency of repairing and retrofitting methods for chloride induced corrosion of reinforced concrete structures.” Eng. J. Inst. Eng. Sri Lanka 46 (4): 19–30. https://doi.org/10.4038/engineer.v46i4.6807.
Pushpakumara, B. H. J., S. De Silva, and G. H. M. J. S. De Silva. 2017. “Visual inspection and non-destructive tests-based rating method for concrete bridges.” Int. J. Struct. Eng. 8 (1): 74–91. https://doi.org/10.1504/IJSTRUCTE.2017.081672.
Pushpakumara, B. H. J., and M. S. G. M. Fernando. 2023. “Deterioration assessment model for splash zone of marine concrete structures.” Case Stud. Constr. Mater. 18: e01731.
Pushpakumara, B. H. J., and G. A. Thusitha. 2021a. “Development of a priority weights-based green building rating model.” J. Archit. Eng. 27 (2): 04021008. https://doi.org/10.1061/(ASCE)AE.1943-5568.0000465.
Pushpakumara, B. H. J., and G. A. Thusitha. 2021b. “Development of a structural health monitoring tool for underwater concrete structures.” J. Constr. Eng. Manage. 147 (10): 04021135. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002163.
Rafsanjani, H. 2016. “Factors influencing the energy consumption of residential buildings: A review.” In Proc., Construction Research Congress 2016. Reston, VA: ASCE.
Rafsanjani, H., C. Ahn, and M. Alahmad. 2015. “A review of approaches for sensing, understanding, and improving occupancy-related energy-use behaviors in commercial buildings.” Energies 8 (10): 10996–11029. https://doi.org/10.3390/en81010996.
Saaty, T. L. 1988. “What is the analytic hierarchy process?” In Proc., Mathematical Models for Decision Support, 109–121. Oxford, UK: Pergamon Journals Ltd.
Samuelson, C. D., and M. Biek. 1991. “Attitudes toward energy conservation: A confirmatory factor analysis.” J. Appl. Soc. Psychol. 21 (7): 549–568. https://doi.org/10.1111/j.1559-1816.1991.tb00536.x.
Schipper, L., S. Bartlett, D. Havk, and E. Vine. 1989. “Linking life-styles and energy use: A matter of time?” Annu. Rev. Energy 14: 273–320. https://doi.org/10.1146/annurev.eg.14.110189.001421.
Seryak, J., and K. Kissock. 2003. “Occupancy and behavioral effects on residential energy use.” In Proc., American Solar Energy Society Conf., 717–722. Washington, DC: USA Department of Energy.
Shah, V. P., D. C. Debella, and R. J. Ries. 2008. “Life cycle assessment of residential heating and cooling systems in four regions in the United States.” Energy Build. 40 (4): 503–513. https://doi.org/10.1016/j.enbuild.2007.04.004.
SLSEA (Sri Lanka Sustainable Energy Authority). 2021. “Energy efficiency building code of Sri Lanka.” ebook, 14–27. Accessed September 20, 2021. http://www.energy.gov.lk/images/resources/downloads/draft-eebc-2020.pdf.
Steemers, K., and G. Y. Yun. 2009. “Household energy consumption: A study of the role of occupants.” Build. Res. Inf. 37 (5–6): 625–637. https://doi.org/10.1080/09613210903186661.
Štreimikienė, D. 2014. “Residential energy consumption trends, main drivers and policies in Lithuania.” Renewable Sustainable Energy Rev. 35: 285–293. https://doi.org/10.1016/j.rser.2014.04.012.
Swan, L. G., and V. I. Ugursal. 2009. “Modeling of end-use energy consumption in the residential sector: A review of modeling techniques.” Renewable Sustainable Energy Rev. 13 (8): 1819–1835. https://doi.org/10.1016/j.rser.2008.09.033.
Tso, G. K. F., and J. Guan. 2014. “A multilevel regression approach to understand effects of environment indicators and household features on residential energy consumption.” Energy 66: 722–731. https://doi.org/10.1016/j.energy.2014.01.056.
Urbikain, M. K., and J. M. Sala. 2009. “Analysis of different models to estimate energy savings related to windows in residential buildings.” Energy Build. 41 (6): 687–695. https://doi.org/10.1016/j.enbuild.2009.01.007.
Van Laarhoven, P. J. M., and W. Pedrycz. 1983. “A fuzzy extension of Saaty’s priority theory.” Fuzzy Sets Syst. 11 (1–3): 229–241. https://doi.org/10.1016/S0165-0114(83)80082-7.
Yang, S., M. Shipworth, and G. Huebner. 2015. “His, hers or both’s? The role of male and female’s attitudes in explaining their home energy use behaviours.” Energy Build. 96: 140–148. https://doi.org/10.1016/j.enbuild.2015.03.009.
Yohanis, Y. G., J. D. Mondol, A. Wright, and B. Norton. 2008. “Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use.” Energy Build. 40 (6): 1053–1059. https://doi.org/10.1016/j.enbuild.2007.09.001.
Yu, Z., B. C. M. Fung, F. Haghighat, H. Yoshino, and E. Morofsky. 2011. “A systematic procedure to study the influence of occupant behavior on building energy consumption.” Energy Build. 43 (6): 1409–1417. https://doi.org/10.1016/j.enbuild.2011.02.002.
Zhou, K., and S. Yang. 2016. “Understanding household energy consumption behavior: The contribution of energy big data analytics.” Renewable Sustainable Energy Rev. 56: 810–819. https://doi.org/10.1016/j.rser.2015.12.001.
Zou, B., and B. Luo. 2019. “Rural household energy consumption characteristics and determinants in China.” Energy 182: 814–823. https://doi.org/10.1016/j.energy.2019.06.048.

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Go to Journal of Architectural Engineering
Journal of Architectural Engineering
Volume 29Issue 2June 2023

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Received: Apr 22, 2022
Accepted: Dec 21, 2022
Published online: Feb 21, 2023
Published in print: Jun 1, 2023
Discussion open until: Jul 21, 2023

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R. M. K. M. Rathnayake [email protected]
Research Student, Faculty of Engineering, Dept. of Civil Engineering, General Sir John Kotelawala Defence Univ., Ratmalana 10390, Sri Lanka. Email: [email protected]
Senior Lecturer, Faculty of Engineering, Dept. of Civil Engineering, General Sir John Kotelawala Defence Univ., Ratmalana 10390, Sri Lanka (corresponding author). ORCID: https://orcid.org/0000-0002-1580-2853. Emails: [email protected]; [email protected]

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