Developing a generic System Dynamics model for building stock transformation towards energy efficiency and low-carbon development
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- Zhou, W. & Moncaster, A. & Reiner, D. & Guthrie, P., 2020. "Developing a generic System Dynamics model for building stock transformation towards energy efficiency and low-carbon development," Cambridge Working Papers in Economics 2057, Faculty of Economics, University of Cambridge.
References listed on IDEAS
- van Vuuren, Detlef P. & Hoogwijk, Monique & Barker, Terry & Riahi, Keywan & Boeters, Stefan & Chateau, Jean & Scrieciu, Serban & van Vliet, Jasper & Masui, Toshihiko & Blok, Kornelis & Blomen, Eliane , 2009. "Comparison of top-down and bottom-up estimates of sectoral and regional greenhouse gas emission reduction potentials," Energy Policy, Elsevier, vol. 37(12), pages 5125-5139, December.
- Andrea Herbst & Felipe Andrés Toro & Felix Reitze & Eberhard Jochem, 2012. "Introduction to Energy Systems Modelling," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 111-135, June.
- 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.
- S. Scrieciu & A. Rezai & R. Mechler, 2013. "On the economic foundations of green growth discourses: the case of climate change mitigation and macroeconomic dynamics in economic modeling," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 2(3), pages 251-268, May.
- Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
- 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.
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Cited by:
- Huo, Tengfei & Xu, Linbo & Liu, Bingsheng & Cai, Weiguang & Feng, Wei, 2022. "China’s commercial building carbon emissions toward 2060: An integrated dynamic emission assessment model," Applied Energy, Elsevier, vol. 325(C).
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More about this item
Keywords
building stock; System Dynamics; disaggregation; aging chain; energy retrofit;All these keywords.
JEL classification:
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2021-08-30 (Energy Economics)
- NEP-ENV-2021-08-30 (Environmental Economics)
- NEP-ISF-2021-08-30 (Islamic Finance)
- NEP-ORE-2021-08-30 (Operations Research)
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