IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt8jr035gh.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/8jr035gh.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Scott Kelly, 2011. "Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector," Working Papers EPRG 1117, Energy Policy Research Group, Cambridge Judge Business School, 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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Estiri, Hossein, 2014. "Building and household X-factors and energy consumption at the residential sector," Energy Economics, Elsevier, vol. 43(C), pages 178-184.
    2. Zhao, Dong-Xue & He, Bao-Jie & Johnson, Christine & Mou, Ben, 2015. "Social problems of green buildings: From the humanistic needs to social acceptance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1594-1609.
    3. Zhang, Tao & Siebers, Peer-Olaf & Aickelin, Uwe, 2012. "A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK," Energy Policy, Elsevier, vol. 47(C), pages 102-110.
    4. Estiri, Hossein, 2015. "The indirect role of households in shaping US residential energy demand patterns," Energy Policy, Elsevier, vol. 86(C), pages 585-594.
    5. Boukarta Soufiane & Berezowska-Azzag Ewa, 2018. "Assessing Households’ Gas and Electricity Consumption: A Case Study of Djelfa, Algeria," Quaestiones Geographicae, Sciendo, vol. 37(4), pages 111-129, December.
    6. Satre-Meloy, Aven, 2019. "Investigating structural and occupant drivers of annual residential electricity consumption using regularization in regression models," Energy, Elsevier, vol. 174(C), pages 148-168.
    7. Bindu Shrestha & Sudarshan R. Tiwari & Sushil B. Bajracharya & Martina M. Keitsch & Hom B. Rijal, 2021. "Review on the Importance of Gender Perspective in Household Energy-Saving Behavior and Energy Transition for Sustainability," Energies, MDPI, vol. 14(22), pages 1-18, November.
    8. Jakučionytė-Skodienė, Miglė & Liobikienė, Genovaitė, 2023. "Changes in energy consumption and CO2 emissions in the Lithuanian household sector caused by environmental awareness and climate change policy," Energy Policy, Elsevier, vol. 180(C).
    9. Belaïd, Fateh, 2017. "Untangling the complexity of the direct and indirect determinants of the residential energy consumption in France: Quantitative analysis using a structural equation modeling approach," Energy Policy, Elsevier, vol. 110(C), pages 246-256.
    10. Wang, Xia & Ding, Chao & Cai, Weiguang & Luo, Lizi & Chen, Mingman, 2021. "Identifying household cooling savings potential in the hot summer and cold winter climate zone in China: A stochastic demand frontier approach," Energy, Elsevier, vol. 237(C).
    11. Kelly, Scott & Shipworth, Michelle & Shipworth, David & Gentry, Michael & Wright, Andrew & Pollitt, Michael & Crawford-Brown, Doug & Lomas, Kevin, 2013. "Predicting the diversity of internal temperatures from the English residential sector using panel methods," Applied Energy, Elsevier, vol. 102(C), pages 601-621.
    12. Rafael de Arce & Ramón Mahía, 2019. "Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach," Energies, MDPI, vol. 12(11), pages 1-18, May.
    13. Véronique Vasseur & Anne-Francoise Marique, 2019. "Households’ Willingness to Adopt Technological and Behavioral Energy Savings Measures: An Empirical Study in The Netherlands," Energies, MDPI, vol. 12(22), pages 1-25, November.
    14. Petra Mesarić & Damira Đukec & Slavko Krajcar, 2017. "Exploring the Potential of Energy Consumers in Smart Grid Using Focus Group Methodology," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
    15. Shih-Chieh Huang & Shang-Lien Lo & Yen-Ching Lin, 2013. "To Re-Explore the Causality between Barriers to Renewable Energy Development: A Case Study of Wind Energy," Energies, MDPI, vol. 6(9), pages 1-24, August.
    16. Azar, Elie & Nikolopoulou, Christina & Papadopoulos, Sokratis, 2016. "Integrating and optimizing metrics of sustainable building performance using human-focused agent-based modeling," Applied Energy, Elsevier, vol. 183(C), pages 926-937.
    17. Linwei Pan & Minglei Zhu & Ningning Lang & Tengfei Huo, 2020. "What Is the Amount of China’s Building Floor Space from 1996 to 2014?," IJERPH, MDPI, vol. 17(16), pages 1-17, August.
    18. Cem Keskin & M. Pınar Mengüç, 2018. "On Occupant Behavior and Innovation Studies Towards High Performance Buildings: A Transdisciplinary Approach," Sustainability, MDPI, vol. 10(10), pages 1-33, October.
    19. Ana-María Martínez-Llorens & Paloma Taltavull de La Paz & Raul-Tomas Mora-Garcia, 2020. "Effect of The Physical Characteristics of a Dwelling on Energy Consumption and Emissions: The Case of Castellón And Valencia (Spain)," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    20. Zhu, Mengshu & Huang, Ying & Wang, Si-Nuo & Zheng, Xinye & Wei, Chu, 2023. "Characteristics and patterns of residential energy consumption for space cooling in China: Evidence from appliance-level data," Energy, Elsevier, vol. 265(C).

    More about this item

    Keywords

    Engineering;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsdav:qt8jr035gh. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.