IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v27y2000i5p721-732.html
   My bibliography  Save this article

N-DEEM: The National Nondomestic Buildings Energy and Emissions Model

Author

Listed:
  • Christine H Pout

    (Energy Technology Centre, Building Research Establishment, Bucknalls Lane, Garston, Watford WD2 7JR, England)

Abstract

In this paper I will describe the bringing together of sources of data on the nondomestic building stock and its energy use, and modelling procedures that form the technologically disaggregated model of energy use in UK buildings known as N-DEEM (nondomestic buildings energy and emissions model). Methodologies for estimating carbon emissions and carbon savings are described, and summary results presented. The use of N-DEEM to develop future scenarios of energy use is discussed.

Suggested Citation

  • Christine H Pout, 2000. "N-DEEM: The National Nondomestic Buildings Energy and Emissions Model," Environment and Planning B, , vol. 27(5), pages 721-732, October.
  • Handle: RePEc:sae:envirb:v:27:y:2000:i:5:p:721-732
    DOI: 10.1068/bst12
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/bst12
    Download Restriction: no

    File URL: https://libkey.io/10.1068/bst12?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. Tukia, Toni & Uimonen, Semen & Siikonen, Marja-Liisa & Donghi, Claudio & Lehtonen, Matti, 2019. "Modeling the aggregated power consumption of elevators – the New York city case study," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    2. Theofano Fotiou & Alessia de Vita & Pantelis Capros, 2019. "Economic-Engineering Modelling of the Buildings Sector to Study the Transition towards Deep Decarbonisation in the EU," Energies, MDPI, vol. 12(14), pages 1-28, July.

    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. 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.
    2. Pereira, Iraci Miranda & Assis, Eleonora Sad de, 2013. "Urban energy consumption mapping for energy management," Energy Policy, Elsevier, vol. 59(C), pages 257-269.
    3. Triana, Maria Andrea & Lamberts, Roberto & Sassi, Paola, 2015. "Characterisation of representative building typologies for social housing projects in Brazil and its energy performance," Energy Policy, Elsevier, vol. 87(C), pages 524-541.
    4. Natarajan, Sukumar & Levermore, Geoffrey J., 2007. "Predicting future UK housing stock and carbon emissions," Energy Policy, Elsevier, vol. 35(11), pages 5719-5727, November.
    5. Rui Oliveira & António Figueiredo & Romeu Vicente & Ricardo M. S. F. Almeida, 2018. "Multi-Objective Optimisation of the Energy Performance of Lightweight Constructions Combining Evolutionary Algorithms and Life Cycle Cost," Energies, MDPI, vol. 11(7), pages 1-23, July.
    6. Walker, Sara Louise & Hope, Alex & Bentley, Edward, 2014. "Modelling steady state performance of a local electricity distribution system under UK 2050 carbon pathway scenarios," Energy, Elsevier, vol. 78(C), pages 604-621.
    7. McCallum, Peter & Jenkins, David P. & Peacock, Andrew D. & Patidar, Sandhya & Andoni, Merlinda & Flynn, David & Robu, Valentin, 2019. "A multi-sectoral approach to modelling community energy demand of the built environment," Energy Policy, Elsevier, vol. 132(C), pages 865-875.
    8. Chitnis, Mona & Sorrell, Steve & Druckman, Angela & Firth, Steven K. & Jackson, Tim, 2013. "Turning lights into flights: Estimating direct and indirect rebound effects for UK households," Energy Policy, Elsevier, vol. 55(C), pages 234-250.
    9. Lee, Timothy & Yao, Runming, 2013. "Incorporating technology buying behaviour into UK-based long term domestic stock energy models to provide improved policy analysis," Energy Policy, Elsevier, vol. 52(C), pages 363-372.
    10. Natarajan, Sukumar & Levermore, Geoffrey J., 2007. "Domestic futures--Which way to a low-carbon housing stock?," Energy Policy, Elsevier, vol. 35(11), pages 5728-5736, November.
    11. Gordon Mitchell & Anthony Hargreaves & Anil Namdeo & Marcial Echenique, 2011. "Land Use, Transport, and Carbon Futures: The Impact of Spatial Form Strategies in Three UK Urban Regions," Environment and Planning A, , vol. 43(9), pages 2143-2163, September.
    12. Dodds, Paul E., 2014. "Integrating housing stock and energy system models as a strategy to improve heat decarbonisation assessments," Applied Energy, Elsevier, vol. 132(C), pages 358-369.
    13. Theofano Fotiou & Alessia de Vita & Pantelis Capros, 2019. "Economic-Engineering Modelling of the Buildings Sector to Study the Transition towards Deep Decarbonisation in the EU," Energies, MDPI, vol. 12(14), pages 1-28, July.
    14. Buso, Tiziana & Corgnati, Stefano Paolo, 2017. "A customized modelling approach for multi-functional buildings – Application to an Italian Reference Hotel," Applied Energy, Elsevier, vol. 190(C), pages 1302-1315.
    15. 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.
    16. Shorrock, L. D., 1999. "An analysis of the effect of Government grants on the uptake of home insulation measures," Energy Policy, Elsevier, vol. 27(3), pages 155-171, March.
    17. 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.
    18. 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.
    19. Summerfield, A.J. & Oreszczyn, T. & Palmer, J. & Hamilton, I.G. & Li, F.G.N. & Crawley, J. & Lowe, R.J., 2019. "What do empirical findings reveal about modelled energy demand and energy ratings? Comparisons of gas consumption across the English residential sector," Energy Policy, Elsevier, vol. 129(C), pages 997-1007.
    20. Younghoon Kwak & Jeonga Kang & Sun-Hye Mun & Young-Sun Jeong & Jung-Ho Huh, 2020. "Development and Application of a Flexible Modeling Approach to Reference Buildings for Energy Analysis," Energies, MDPI, vol. 13(21), pages 1-22, November.

    More about this item

    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:sae:envirb:v:27:y:2000:i:5:p:721-732. 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: SAGE Publications (email available below). General contact details of provider: .

    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.