IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v136y2020ics0301421519306627.html
   My bibliography  Save this article

The impact of minimum OTTV legislation on building energy consumption

Author

Listed:
  • Sheng, Weili
  • Zhang, Lin
  • Ridley, Ian

Abstract

As a measure of building envelope performance, Overall Thermal Transfer Value (OTTV) has been regulated in many countries and regions in the world, while little research is done to evaluate its city-scale effect with energy consumption. In this paper, we develop an econometric energy epidemiology model to evaluate the impact of OTTV legislations on electricity consumption using Hong Kong as an example, as Hong Kong government is one of the first adopters of OTTV regulation. For this purpose, we construct a unique database on the energy consumption of residential and commercial buildings in Hong Kong, including 39092 buildings from 1982 to 2016. Noticeable contributions to the total building energy saving could be found from historical OTTV legislations by 2016. As predicted by the model, in 2030, the annual electricity reduction can reach approximately 20000TJ without further regulation amendment, which is an important support to the “HK3030” energy target.

Suggested Citation

  • Sheng, Weili & Zhang, Lin & Ridley, Ian, 2020. "The impact of minimum OTTV legislation on building energy consumption," Energy Policy, Elsevier, vol. 136(C).
    • Handle: RePEc:eee:enepol:v:136:y:2020:i:c:s0301421519306627
    DOI: 10.1016/j.enpol.2019.111075
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421519306627
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2019.111075?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. Park, Joon Y, 1992. "Canonical Cointegrating Regressions," Econometrica, Econometric Society, vol. 60(1), pages 119-143, January.
    2. Zhang, Lin, 2013. "Model projections and policy reviews for energy saving in China's service sector," Energy Policy, Elsevier, vol. 59(C), pages 312-320.
    3. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    4. Phillips, Peter C B, 1995. "Fully Modified Least Squares and Vector Autoregression," Econometrica, Econometric Society, vol. 63(5), pages 1023-1078, September.
    5. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    6. Adom, Philip Kofi, 2015. "Business cycle and economic-wide energy intensity: The implications for energy conservation policy in Algeria," Energy, Elsevier, vol. 88(C), pages 334-350.
    7. Hwang, Ruey-Lung & Shih, Wen-Mei & Lin, Tzu-Ping & Huang, Kuo-Tsang, 2018. "Simplification and adjustment of the energy consumption indices of office building envelopes in response to climate change," Applied Energy, Elsevier, vol. 230(C), pages 460-470.
    8. Lam, Joseph C., 1995. "Building envelope loads and commercial sector electricity use in Hong Kong," Energy, Elsevier, vol. 20(3), pages 189-194.
    9. Lam, Joseph C. & Tang, H.L. & Li, Danny H.W., 2008. "Seasonal variations in residential and commercial sector electricity consumption in Hong Kong," Energy, Elsevier, vol. 33(3), pages 513-523.
    10. Zhang, Lin, 2017. "Correcting the uneven burden sharing of emission reduction across provinces in China," Energy Economics, Elsevier, vol. 64(C), pages 335-345.
    11. Bentzen, Jan & Engsted, Tom, 2001. "A revival of the autoregressive distributed lag model in estimating energy demand relationships," Energy, Elsevier, vol. 26(1), pages 45-55.
    12. Lin Zhang and Philip Kofi Adom, 2018. "Energy Efficiency Transitions in China: How Persistent are the Movements to/from the Frontier?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    13. Ma, Zhenjun & Wang, Shengwei, 2009. "Building energy research in Hong Kong: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1870-1883, October.
    14. Lam, Joseph C. & Tsang, C.L. & Li, Danny H.W. & Cheung, S.O., 2005. "Residential building envelope heat gain and cooling energy requirements," Energy, Elsevier, vol. 30(7), pages 933-951.
    15. Lee, W. L. & Yik, F. W. H., 2002. "Regulatory and voluntary approaches for enhancing energy efficiencies of buildings in Hong Kong," Applied Energy, Elsevier, vol. 71(4), pages 251-274, April.
    16. Shafiei, Sahar & Salim, Ruhul A., 2014. "Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis," Energy Policy, Elsevier, vol. 66(C), pages 547-556.
    17. Lam, Tony N.T. & Wan, Kevin K.W. & Wong, S.L. & Lam, Joseph C., 2010. "Impact of climate change on commercial sector air conditioning energy consumption in subtropical Hong Kong," Applied Energy, Elsevier, vol. 87(7), pages 2321-2327, July.
    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. Pathomthat Chiradeja & Surakit Thongsuk & Santipont Ananwattanaporn & Atthapol Ngaopitakkul & Suntiti Yoomak, 2023. "A Study on Transparent Type Envelope Material in Terms of Overall Thermal Transfer, Energy, and Economy for an Office Building Based on the Thai Building Energy Code," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
    2. Sandberg, Nina Holck & Næss, Jan Sandstad & Brattebø, Helge & Andresen, Inger & Gustavsen, Arild, 2021. "Large potentials for energy saving and greenhouse gas emission reductions from large-scale deployment of zero emission building technologies in a national building stock," Energy Policy, Elsevier, vol. 152(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. Wilmer Martínez-Rivera & Eliana R. González-Molano & Edgar Caicedo-García, 2023. "Forecasting Inflation from Disaggregated Data: The Colombian case," Borradores de Economia 1251, Banco de la Republica de Colombia.
    2. Juan David Alonso-Sanabria & Luis Fernando Melo-Velandia & Daniel Parra-Amado, 2023. "Connecting the Dots: Renewable Energy, Economic Growth, Reforestation, and Greenhouse Gas Emissions in Colombia," Borradores de Economia 1252, Banco de la Republica de Colombia.
    3. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    4. Adom, Philip Kofi, 2015. "Business cycle and economic-wide energy intensity: The implications for energy conservation policy in Algeria," Energy, Elsevier, vol. 88(C), pages 334-350.
    5. Maxwell Chukwudi Udeagha & Edwin Muchapondwa, 2023. "Environmental sustainability in South Africa: Understanding the criticality of economic policy uncertainty, fiscal decentralization, and green innovation," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1638-1651, June.
    6. Hirukawa, Masayuki, 2023. "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, vol. 27(C), pages 36-61.
    7. Joscha Beckmann & Ansgar Belke & Michael Kühl, 2011. "The dollar-euro exchange rate and macroeconomic fundamentals: a time-varying coefficient approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 147(1), pages 11-40, April.
    8. Phillips, Peter C B & McFarland, James W & McMahon, Patrick C, 1996. "Robust Tests of Forward Exchange Market Efficiency with Empirical Evidence from the 1920s," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 1-22, Jan.-Feb..
    9. David Neto, 2015. "Testing for and dating structural break in smooth time-varying cointegration parameters, with an application to retail gasoline price and crude oil price long-run relationship," Empirical Economics, Springer, vol. 49(3), pages 909-928, November.
    10. Khatai Aliyev & Altay Ismayilov & Ilkin Gasimov, 2019. "Modelling Elasticity of Non-Oil Tax Revenues to Oil Price Changes: is There U-Shaped Association? Evidence from Azerbaijan," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(3), pages 799-810.
    11. Oryani, Bahareh & Koo, Yoonmo & Rezania, Shahabaldin & Shafiee, Afsaneh & Khan, Muhammad Kamran & Mahdavian, Seyed Mohammadreza, 2021. "The role of electricity mix and transportation sector in designing a green-growth strategy in Iran," Energy, Elsevier, vol. 233(C).
    12. Kitamura, Yuichi & Phillips, Peter C. B., 1997. "Fully modified IV, GIVE and GMM estimation with possibly non-stationary regressors and instruments," Journal of Econometrics, Elsevier, vol. 80(1), pages 85-123, September.
    13. Koçak, Emrah & Önderol, Seyit & Khan, Kamran, 2021. "Structural change, modernization, total factor productivity, and natural resources sustainability: An assessment with quantile and non-quantile estimators," Resources Policy, Elsevier, vol. 74(C).
    14. Zuo, Haomiao & Park, Sung Y., 2011. "Money demand in China and time-varying cointegration," China Economic Review, Elsevier, vol. 22(3), pages 330-343, September.
    15. Müller, Ulrich K. & Watson, Mark W., 2013. "Low-frequency robust cointegration testing," Journal of Econometrics, Elsevier, vol. 174(2), pages 66-81.
    16. KETENCI, Natalya, 2010. "Cointegration Analysis Of Tourism Demand For Turkey," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(1).
    17. Zivot, Eric, 2000. "Cointegration and forward and spot exchange rate regressions," Journal of International Money and Finance, Elsevier, vol. 19(6), pages 785-812, December.
    18. Kheifets, Igor L. & Phillips, Peter C.B., 2023. "Fully modified least squares cointegrating parameter estimation in multicointegrated systems," Journal of Econometrics, Elsevier, vol. 232(2), pages 300-319.
    19. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    20. Quintos, Carmela E., 1998. "Stability tests in error correction models," Journal of Econometrics, Elsevier, vol. 82(2), pages 289-315, February.

    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:enepol:v:136:y:2020:i:c:s0301421519306627. 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/locate/enpol .

    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.