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Updating the PECAS Modeling Framework to Include Energy Use Data for Buildings

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  • Circella, Giovanni
  • Johnston, Robert
  • Holguin, Andrew
  • Lehmer, Eric
  • Wang, Yang
  • McCoy, Michael

Abstract

This study investigates the consumption of electricity and natural gas for building operations for several categories of residential and non-residential buildings. The study updates the Production Exchange Consumption Allocation System (PECAS) land use modeling framework to include energy components. An energy database was assembled to study energy consumption in buildings. The authors conducted statistical analysis of utility data and estimated linear regression models to predict energy consumption in buildings. Results are validated using data from independent sources, including the California Residential Appliance Saturation Study (RASS) and the Commercial End-Use Survey (CEUS). Results are used to update PECAS and form part of the baseline study to estimate energy and greenhouse gas balances in an urban metabolism framework for the analysis of the environmental impacts of complex urban regions. The results also allow the total energy consumption and greenhouse gas emissions for residential and commercial building operations to be estimated through the application to the total residential and commercial building inventory in the region. These results are then useful for the evaluation of possible energy savings in buildings.

Suggested Citation

  • Circella, Giovanni & Johnston, Robert & Holguin, Andrew & Lehmer, Eric & Wang, Yang & McCoy, Michael, 2013. "Updating the PECAS Modeling Framework to Include Energy Use Data for Buildings," Institute of Transportation Studies, Working Paper Series qt8jr035gh, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt8jr035gh
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    References listed on IDEAS

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    1. Tso, Geoffrey K.F. & Yau, Kelvin K.W., 2007. "Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks," Energy, Elsevier, vol. 32(9), pages 1761-1768.
    2. Kelly, S., 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector," Cambridge Working Papers in Economics 1139, Faculty of Economics, University of Cambridge.
    3. James Keirstead & Aruna Sivakumar, 2012. "Using Activity‐Based Modeling to Simulate Urban Resource Demands at High Spatial and Temporal Resolutions," Journal of Industrial Ecology, Yale University, vol. 16(6), pages 889-900, December.
    4. 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.
    5. Keirstead, James, 2006. "Evaluating the applicability of integrated domestic energy consumption frameworks in the UK," Energy Policy, Elsevier, vol. 34(17), pages 3065-3077, November.
    6. van Raaij, W. Fred & Verhallen, Theo M. M., 1983. "Patterns of residential energy behavior," Journal of Economic Psychology, Elsevier, vol. 4(1-2), pages 85-106, October.
    7. Kelly, Scott, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector," Energy, Elsevier, vol. 36(9), pages 5610-5620.
    8. Christopher Kennedy & John Cuddihy & Joshua Engel‐Yan, 2007. "The Changing Metabolism of Cities," Journal of Industrial Ecology, Yale University, vol. 11(2), pages 43-59, April.
    9. Shorrock, LD & Dunster, JE, 1997. "The physically-based model BREHOMES and its use in deriving scenarios for the energy use and carbon dioxide emissions of the UK housing stock," Energy Policy, Elsevier, vol. 25(12), pages 1027-1037, October.
    10. Van Raaij, W. Fred & Verhallen, Theo M. M., 1983. "A behavioral model of residential energy use," Journal of Economic Psychology, Elsevier, vol. 3(1), pages 39-63.
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    Cited by:

    1. Stephanie Pincetl & Mikhail Chester & Giovanni Circella & Andrew Fraser & Caroline Mini & Sinnott Murphy & Janet Reyna & Deepak Sivaraman, 2014. "Enabling Future Sustainability Transitions," Journal of Industrial Ecology, Yale University, vol. 18(6), pages 871-882, December.

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