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Modeling of end-use energy consumption in the residential sector: A review of modeling techniques

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  • Swan, Lukas G.
  • Ugursal, V. Ismet
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    Abstract

    There is a growing interest in reducing energy consumption and the associated greenhouse gas emissions in every sector of the economy. The residential sector is a substantial consumer of energy in every country, and therefore a focus for energy consumption efforts. Since the energy consumption characteristics of the residential sector are complex and inter-related, comprehensive models are needed to assess the technoeconomic impacts of adopting energy efficiency and renewable energy technologies suitable for residential applications. The aim of this paper is to provide an up-to-date review of the various modeling techniques used for modeling residential sector energy consumption. Two distinct approaches are identified: top-down and bottom-up. The top-down approach treats the residential sector as an energy sink and is not concerned with individual end-uses. It utilizes historic aggregate energy values and regresses the energy consumption of the housing stock as a function of top-level variables such as macroeconomic indicators (e.g. gross domestic product, unemployment, and inflation), energy price, and general climate. The bottom-up approach extrapolates the estimated energy consumption of a representative set of individual houses to regional and national levels, and consists of two distinct methodologies: the statistical method and the engineering method. Each technique relies on different levels of input information, different calculation or simulation techniques, and provides results with different applicability. A critical review of each technique, focusing on the strengths, shortcomings and purposes, is provided along with a review of models reported in the literature.

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    Bibliographic Info

    Article provided by Elsevier in its journal Renewable and Sustainable Energy Reviews.

    Volume (Year): 13 (2009)
    Issue (Month): 8 (October)
    Pages: 1819-1835

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    Handle: RePEc:eee:rensus:v:13:y:2009:i:8:p:1819-1835

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    Related research

    Keywords: Residential energy model Residential energy consumption Housing energy model Energy model;

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    Cited by:
    1. Wiesmann, Daniel & Lima Azevedo, Inês & Ferrão, Paulo & Fernández, John E., 2011. "Residential electricity consumption in Portugal: Findings from top-down and bottom-up models," Energy Policy, Elsevier, vol. 39(5), pages 2772-2779, May.
    2. Sütterlin, Bernadette & Brunner, Thomas A. & Siegrist, Michael, 2011. "Who puts the most energy into energy conservation? A segmentation of energy consumers based on energy-related behavioral characteristics," Energy Policy, Elsevier, vol. 39(12), pages 8137-8152.
    3. Dongjun Suh & Seongju Chang, 2012. "An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea," Energies, MDPI, Open Access Journal, vol. 5(11), pages 4497-4516, November.
    4. Giraudet, Louis-Gaëtan & Guivarch, Céline & Quirion, Philippe, 2012. "Exploring the potential for energy conservation in French households through hybrid modeling," Energy Economics, Elsevier, vol. 34(2), pages 426-445.
    5. Jackson, Jerry, 2010. "Improving energy efficiency and smart grid program analysis with agent-based end-use forecasting models," Energy Policy, Elsevier, vol. 38(7), pages 3771-3780, July.
    6. Filippín, C. & Larsen, S. Flores & Mercado, V., 2011. "Winter energy behaviour in multi-family block buildings in a temperate-cold climate in Argentina," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 203-219, January.
    7. Wyatt, Peter, 2013. "A dwelling-level investigation into the physical and socio-economic drivers of domestic energy consumption in England," Energy Policy, Elsevier, vol. 60(C), pages 540-549.
    8. López-Rodríguez, M.A. & Santiago, I. & Trillo-Montero, D. & Torriti, J. & Moreno-Munoz, A., 2013. "Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption," Energy Policy, Elsevier, vol. 62(C), pages 742-751.
    9. Radmehr, Mehrshad & Willis, Ken & Kenechi, Ugo Elinwa, 2014. "A framework for evaluating WTP for BIPV in residential housing design in developing countries: A case study of North Cyprus," Energy Policy, Elsevier, vol. 70(C), pages 207-216.
    10. Huang, Shisheng & Hodge, Bri-Mathias S. & Taheripour, Farzad & Pekny, Joseph F. & Reklaitis, Gintaras V. & Tyner, Wallace E., 2011. "The effects of electricity pricing on PHEV competitiveness," Energy Policy, Elsevier, vol. 39(3), pages 1552-1561, March.
    11. Nie, Hongguang & Kemp, René, 2014. "Index decomposition analysis of residential energy consumption in China: 2002–2010," Applied Energy, Elsevier, vol. 121(C), pages 10-19.
    12. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing in-home and out-of-home energy consumption behavior in Beijing," Energy Policy, Elsevier, vol. 39(7), pages 4168-4177, July.
    13. Gottwalt, Sebastian & Ketter, Wolfgang & Block, Carsten & Collins, John & Weinhardt, Christof, 2011. "Demand side management—A simulation of household behavior under variable prices," Energy Policy, Elsevier, vol. 39(12), pages 8163-8174.
    14. Wei Yu & Baizhan Li & Yarong Lei & Meng Liu, 2011. "Analysis of a Residential Building Energy Consumption Demand Model," Energies, MDPI, Open Access Journal, vol. 4(3), pages 475-487, March.
    15. Lopes, M.A.R. & Antunes, C.H. & Martins, N., 2012. "Energy behaviours as promoters of energy efficiency: A 21st century review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4095-4104.
    16. Theodoridou, Ifigeneia & Karteris, Marinos & Mallinis, Georgios & Papadopoulos, Agis M. & Hegger, Manfred, 2012. "Assessment of retrofitting measures and solar systems' potential in urban areas using Geographical Information Systems: Application to a Mediterranean city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6239-6261.
    17. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
    18. Bayer, Peter & Saner, Dominik & Bolay, Stephan & Rybach, Ladislaus & Blum, Philipp, 2012. "Greenhouse gas emission savings of ground source heat pump systems in Europe: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1256-1267.

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