A modular framework for a dynamic residential building stock model with energy retrofit forecasts

IF 3.2 4区 工程技术 Q3 ENERGY & FUELS
Dennis Aldenhoff, Björn-Martin Kurzrock
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Abstract

Building retrofits are strongly dependent on the individual refurbishment/rehabilitation cycles of buildings. In order to achieve the targeted climate goals for the building sector, it is necessary to make the best possible use of refurbishment opportunities for energy retrofits. Furthermore, it must be considered that the younger the building, the lower the potential for energy savings. The most challenging, yet required, energy retrofits are all yet to come. Given the importance of the refurbishment cycle, the question arises as to what the theoretical refurbishment rate is, what the actual energy retrofit rate is, and what it needs to be in order to meet the climate targets for the residential building stock. The aim of this paper is to model the evolution of the size and retrofit status of national building stocks. This is to be done against the background of the deviation from the actual and theoretical refurbishment cycle. Using current statistics and the past development of the German residential building stock, central parameters like living space, new construction, deconstruction, and the retrofit rate are modeled endogenously. For the latter, influences of economic conditions are implemented through an exogenously set black box variable. The retrofit rate represents a deep energy retrofit and thus allows an easy connection of the model with energy parameters for building classes defined in the web database TABULA for 20 European countries. The results are of relevance for modeling the energy efficiency status of the building stock and deriving suitable conditions for increasing retrofit rates also in other countries. The results show that increasing the energy retrofit rates to 2%/a or more is largely unrealistic. Instead, the focus should be on weak points, especially where short-term savings are concerned. This applies in particular to facades, basement ceilings, and heating systems as well as the efficient use of energy in buildings.

Abstract Image

具有能源改造预测功能的动态住宅建筑群模型模块框架
建筑节能改造在很大程度上取决于建筑物的翻新/改造周期。为了实现建筑领域的气候目标,有必要尽可能利用翻新机会进行节能改造。此外,还必须考虑到建筑越新,节能潜力就越低。最具挑战性但又必须进行的能源改造还在后面。鉴于翻新周期的重要性,问题在于理论上的翻新率是多少,实际的节能改造率是多少,以及为了实现住宅建筑的气候目标需要达到多少。本文旨在模拟各国建筑规模和翻新状况的演变。这将在实际和理论翻新周期偏差的背景下完成。利用德国住宅建筑存量的当前统计数据和过去的发展情况,对居住面积、新建建筑、拆除建筑和翻新率等核心参数进行内生建模。对于后者,经济条件的影响是通过一个外生设定的黑盒变量来实现的。改造率代表了深度能源改造,因此可以方便地将模型与网络数据库 TABULA 中定义的 20 个欧洲国家的建筑类别能源参数连接起来。研究结果对其他国家建筑节能状况的建模和提高改造率的合适条件的得出具有重要意义。结果表明,将节能改造率提高到 2%/a 或更高在很大程度上是不现实的。相反,重点应放在薄弱环节上,尤其是短期节能方面。这一点尤其适用于外墙、地下室天花板、供热系统以及建筑物内能源的有效利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy Efficiency
Energy Efficiency ENERGY & FUELS-ENERGY & FUELS
CiteScore
5.80
自引率
6.50%
发文量
59
审稿时长
>12 weeks
期刊介绍: The journal Energy Efficiency covers wide-ranging aspects of energy efficiency in the residential, tertiary, industrial and transport sectors. Coverage includes a number of different topics and disciplines including energy efficiency policies at local, regional, national and international levels; long term impact of energy efficiency; technologies to improve energy efficiency; consumer behavior and the dynamics of consumption; socio-economic impacts of energy efficiency measures; energy efficiency as a virtual utility; transportation issues; building issues; energy management systems and energy services; energy planning and risk assessment; energy efficiency in developing countries and economies in transition; non-energy benefits of energy efficiency and opportunities for policy integration; energy education and training, and emerging technologies. See Aims and Scope for more details.
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