A dynamic hypothesis for developing energy-efficiency technologies in housing industry

Ibrahim Motawa, Phillip Frank Gower Banfill

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    32 Downloads (Pure)


    The UK target to significantly reduce CO2 emissions from housing has been challenged by the fact that 80% of the UK housing stock existing in 2030 has already been built. Energy-efficiency technologies for existing housing are developed in attempt to meet this target, e.g. fabric upgrades, ventilation systems, etc, but the interrelationship between the technical and social aspects of using these technologies is not fully understood. From the household perspective, a clear financial case in addition to other intangible benefits should exist to create high demand for these technologies. On the other hand, many technological interventions are still in the development stage and according to the technology diffusion theory there will be a delay in adopting these
    technologies on the expected scale. This study will use system dynamics modelling to investigate the relationship between the supply and demand of energy-efficiency technologies for existing housing. A dynamic
    hypothesis will be set to analyse the interrelationships among the controlling variables of technologies development over a period of time. This paper introduces the main structure of the study and discusses the
    technique adopted to model the identified dynamic hypothesis.
    Original languageEnglish
    Title of host publicationProceedings of the World Renewable Energy Congress 2011
    Number of pages8
    Publication statusPublished - 2011
    EventWorld Reneewable Energy Congress - Linkoping, Sweden
    Duration: 9 May 201113 May 2011


    ConferenceWorld Reneewable Energy Congress


    • Energy-efficiency technologies
    • System dynamics


    Dive into the research topics of 'A dynamic hypothesis for developing energy-efficiency technologies in housing industry'. Together they form a unique fingerprint.

    Cite this