IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v237y2019icp270-282.html
   My bibliography  Save this article

UK building thermal performance from industrial and governmental perspectives

Author

Listed:
  • Ling-Chin, J.
  • Taylor, W.
  • Davidson, P.
  • Reay, D.
  • Nazi, W.I.
  • Tassou, S.
  • Roskilly, A.P.

Abstract

Current policies have implied that improving thermal performance of the built environment would be included in a strategy to reduce the greenhouse gas emissions in the UK and meet the national targets of the Climate Change Act by 2050. However, the perceptions of the industrial stakeholders in this matter have not, to date, been clear. This study aimed to uncover stakeholder perspectives on thermal performance of the built environment and investigate whether their perspectives aligned well with the national policies. Focusing on attributes of the built environment, technology and innovation, barriers and reflections on reality, technical feedback was gathered from experienced industrial stakeholders via a one-day workshop and emails. The analysis showed that despite being familiar with the national policies, the perspectives of the industrial stakeholders did not fully align with the national policies in most aspects. However, the industry had no objection to employing low carbon technology alternatives in the future. The study concluded that consultation with industry should be carried out continuously to assist in the formation of future national policies to significantly improve the thermal performance of the built environment. Future research should be extended to comparing the stakeholder viewpoints and national policies from environmental and economic perspectives on a European/global scale.

Suggested Citation

  • Ling-Chin, J. & Taylor, W. & Davidson, P. & Reay, D. & Nazi, W.I. & Tassou, S. & Roskilly, A.P., 2019. "UK building thermal performance from industrial and governmental perspectives," Applied Energy, Elsevier, vol. 237(C), pages 270-282.
    • Handle: RePEc:eee:appene:v:237:y:2019:i:c:p:270-282
    DOI: 10.1016/j.apenergy.2018.12.077
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918318968
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2018.12.077?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
    2. Papafragkou, Anastasios & Ghosh, Siddhartha & James, Patrick A.B. & Rogers, Alex & Bahaj, AbuBakr S., 2014. "A simple, scalable and low-cost method to generate thermal diagnostics of a domestic building," Applied Energy, Elsevier, vol. 134(C), pages 519-530.
    3. Palmero-Marrero, Ana I. & Oliveira, Armando C., 2010. "Effect of louver shading devices on building energy requirements," Applied Energy, Elsevier, vol. 87(6), pages 2040-2049, June.
    4. Jiang, Lai & Yao, Runming & Liu, Kecheng & McCrindle, Rachel, 2017. "An Epistemic-Deontic-Axiologic (EDA) agent-based energy management system in office buildings," Applied Energy, Elsevier, vol. 205(C), pages 440-452.
    5. Pimbert, S.L. & Ruyssevelt, P., 1990. "Occupant response to the indoor climate in super-insulated homes with heat recovery," Applied Energy, Elsevier, vol. 35(4), pages 245-252.
    6. Alam, M. & Singh, H. & Suresh, S. & Redpath, D.A.G., 2017. "Energy and economic analysis of Vacuum Insulation Panels (VIPs) used in non-domestic buildings," Applied Energy, Elsevier, vol. 188(C), pages 1-8.
    7. Herbert, Alan & Arthur, Simon & Chillingworth, Grace, 2013. "Thermal modelling of large scale exploitation of ground source energy in urban aquifers as a resource management tool," Applied Energy, Elsevier, vol. 109(C), pages 94-103.
    8. Gupta, Rajat & Kotopouleas, Alkis, 2018. "Magnitude and extent of building fabric thermal performance gap in UK low energy housing," Applied Energy, Elsevier, vol. 222(C), pages 673-686.
    9. Wang, Xiaoxin & Kendrick, Christopher & Ogden, Raymond & Walliman, Nicholas & Baiche, Bousmaha, 2013. "A case study on energy consumption and overheating for a UK industrial building with rooflights," Applied Energy, Elsevier, vol. 104(C), pages 337-344.
    10. Alanne, Kari & Cao, Sunliang, 2017. "Zero-energy hydrogen economy (ZEH2E) for buildings and communities including personal mobility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 697-711.
    11. Gorgolewski, M. & Grindley, P. C. & Probert, S. D., 1996. "Energy-efficient renovation of high-rise housing," Applied Energy, Elsevier, vol. 53(4), pages 365-382, April.
    12. Bagdanavicius, Audrius & Jenkins, Nick, 2013. "Power requirements of ground source heat pumps in a residential area," Applied Energy, Elsevier, vol. 102(C), pages 591-600.
    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. Deb, C. & Gelder, L.V. & Spiekman, M. & Pandraud, Guillaume & Jack, R. & Fitton, R., 2021. "Measuring the heat transfer coefficient (HTC) in buildings: A stakeholder's survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    2. Seyedzadeh, Saleh & Pour Rahimian, Farzad & Oliver, Stephen & Rodriguez, Sergio & Glesk, Ivan, 2020. "Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making," Applied Energy, Elsevier, vol. 279(C).

    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. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Zerrahn, Alexander & Murmann, Alexander & Launer, Jann & Fehler, Alexander & Gaumnitz, Felix & van Ouwerkerk, Jonas & Bußa, 2022. "Modeling flexibility in energy systems — comparison of power sector models based on simplified test cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    3. Sommer, Wijbrand & Valstar, Johan & Leusbrock, Ingo & Grotenhuis, Tim & Rijnaarts, Huub, 2015. "Optimization and spatial pattern of large-scale aquifer thermal energy storage," Applied Energy, Elsevier, vol. 137(C), pages 322-337.
    4. Souayfane, Farah & Biwole, Pascal Henry & Fardoun, Farouk, 2018. "Thermal behavior of a translucent superinsulated latent heat energy storage wall in summertime," Applied Energy, Elsevier, vol. 217(C), pages 390-408.
    5. Dong Eun Jung & Chanuk Lee & Kwang Ho Lee & Minjae Shin & Sung Lok Do, 2021. "Evaluation of Building Energy Performance with Optimal Control of Movable Shading Device Integrated with PV System," Energies, MDPI, vol. 14(7), pages 1-21, March.
    6. Dehwah, Ammar H.A. & Krarti, Moncef, 2021. "Energy performance of integrated adaptive envelope systems for residential buildings," Energy, Elsevier, vol. 233(C).
    7. Zamanipour, Behzad & Ghadaksaz, Hesam & Keppo, Ilkka & Saboohi, Yadollah, 2023. "Electricity supply and demand dynamics in Iran considering climate change-induced stresses," Energy, Elsevier, vol. 263(PE).
    8. Dennis Dreier & Mark Howells, 2019. "OSeMOSYS-PuLP: A Stochastic Modeling Framework for Long-Term Energy Systems Modeling," Energies, MDPI, vol. 12(7), pages 1-26, April.
    9. Małgorzata Fedorczak-Cisak & Katarzyna Nowak & Marcin Furtak, 2019. "Analysis of the Effect of Using External Venetian Blinds on the Thermal Comfort of Users of Highly Glazed Office Rooms in a Transition Season of Temperate Climate—Case Study," Energies, MDPI, vol. 13(1), pages 1-18, December.
    10. César Benavente-Peces & Nisrine Ibadah, 2020. "Buildings Energy Efficiency Analysis and Classification Using Various Machine Learning Technique Classifiers," Energies, MDPI, vol. 13(13), pages 1-24, July.
    11. Talaei, Alireza & Pier, David & Iyer, Aishwarya V. & Ahiduzzaman, Md & Kumar, Amit, 2019. "Assessment of long-term energy efficiency improvement and greenhouse gas emissions mitigation options for the cement industry," Energy, Elsevier, vol. 170(C), pages 1051-1066.
    12. Sara Brito-Coimbra & Daniel Aelenei & Maria Gloria Gomes & Antonio Moret Rodrigues, 2021. "Building Façade Retrofit with Solar Passive Technologies: A Literature Review," Energies, MDPI, vol. 14(6), pages 1-18, March.
    13. Nguyen, Hiep V. & Law, Ying Lam E. & Alavy, Masih & Walsh, Philip R. & Leong, Wey H. & Dworkin, Seth B., 2014. "An analysis of the factors affecting hybrid ground-source heat pump installation potential in North America," Applied Energy, Elsevier, vol. 125(C), pages 28-38.
    14. Kirimtat, Ayca & Koyunbaba, Basak Kundakci & Chatzikonstantinou, Ioannis & Sariyildiz, Sevil, 2016. "Review of simulation modeling for shading devices in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 23-49.
    15. Chris Underwood, 2014. "On the Design and Response of Domestic Ground-Source Heat Pumps in the UK," Energies, MDPI, vol. 7(7), pages 1-22, July.
    16. Taveres-Cachat, Ellika & Lobaccaro, Gabriele & Goia, Francesco & Chaudhary, Gaurav, 2019. "A methodology to improve the performance of PV integrated shading devices using multi-objective optimization," Applied Energy, Elsevier, vol. 247(C), pages 731-744.
    17. Hye Yeon Kim & Hae Jin Kang, 2016. "A Study on Development of a Cost Optimal and Energy Saving Building Model: Focused on Industrial Building," Energies, MDPI, vol. 9(3), pages 1-19, March.
    18. Ahmadi, Somayeh & Saboohi, Yadollah & Vakili, Ali, 2021. "Frameworks, quantitative indicators, characters, and modeling approaches to analysis of energy system resilience: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    19. Somogyi, Viola & Sebestyén, Viktor & Nagy, Georgina, 2017. "Scientific achievements and regulation of shallow geothermal systems in six European countries – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 934-952.
    20. Rivera, Jaime A. & Blum, Philipp & Bayer, Peter, 2016. "Influence of spatially variable ground heat flux on closed-loop geothermal systems: Line source model with nonhomogeneous Cauchy-type top boundary conditions," Applied Energy, Elsevier, vol. 180(C), pages 572-585.

    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:eee:appene:v:237:y:2019:i:c:p:270-282. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.