Screening of thermal characteristics and assessment of comparative energy efficiency potential in a residential district

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
V. Milić, P. Rohdin
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引用次数: 0

Abstract

ABSTRACT By identifying buildings with poor thermal performance and prioritizing these in terms of energy efficiency potential, a sustainable transformation of the building stock may be accelerated. However, there is currently a lack of thermal characteristics (TCs) differentiating total energy use from hot water circulation (HWC), hot tap water (HTW) and space heating in large building portfolios. This research demonstrates a methodology based on a change-point model for identifying and prioritizing TCs, which also enables prediction of the Comparative Energy Efficiency Potential (CEEP). The change-point model allows for the differentiation of various processes, i.e. space heating, HWC and HTW, using only heating supply data and outdoor temperature. The studied district consists of 70 multi-family buildings in the Vasastaden district in Linköping, Sweden. The findings demonstrate that the proposed methodology allows for identifying and prioritizing TCs connected to HWC, HTW and space heating. The highest CEEP is in space heating, corresponding to a maximum of 2,016 MWh (16% of the district’s energy use), followed by HWC, 699 MWh (6% of the district’s energy use) and HTW, 520 MWh (4% of the district’s energy use). Consequently, a total decrease of 3,235 MWh (26%) is made possible according to the studied energy efficiency targets. HIGHLIGHTS A methodology for the prediction of the Comparative Energy Efficiency Potential (CEEP) in a building portfolio based on the identification and prioritization of TCs is proposed The study is enabled by the use of a unique change-point model (DTPC) for differentiating TCs solely from digital heating supply data and outdoor temperature 70 multi-family buildings (total heated area of 121,692 m2) in the Vasastaden district in Linköping, Sweden, are investigated The methodology is successful in identifying and prioritizing TCs related to HWC, HTW and space heating The highest CEEP is in space heating calculated at a maximum of 2016 MWh, which corresponds to 16% of the district’s total energy use
住宅小区热特性的筛选和比较能源效率潜力的评估
通过识别热性能差的建筑,并根据能效潜力优先考虑这些建筑,可以加速建筑存量的可持续转型。然而,目前在大型建筑组合中,缺乏热特性(tc)来区分热水循环(HWC)、热水自来水(HTW)和空间供暖的总能源使用。本研究展示了一种基于变化点模型的方法,用于识别和优先考虑tc,这也可以预测比较能源效率潜力(CEEP)。变化点模型允许区分不同的过程,即空间供暖,HWC和HTW,仅使用供暖数据和室外温度。研究区由瑞典Linköping Vasastaden区的70栋多户建筑组成。研究结果表明,所提出的方法允许识别和优先考虑与HWC、HTW和空间供暖相关的tc。CEEP最高的是空间供暖,最高可达2016兆瓦时(占该地区能源使用量的16%),其次是HWC, 699兆瓦时(占该地区能源使用量的6%)和HTW, 520兆瓦时(占该地区能源使用量的4%)。因此,根据研究的能源效率目标,总共减少了3235兆瓦时(26%)。本文提出了一种基于tc的识别和优先级来预测建筑组合中比较能源效率潜力(CEEP)的方法。该研究通过使用独特的变化点模型(DTPC)来区分tc与数字供暖数据和室外温度,该模型位于瑞典Linköping Vasastaden地区的70栋多户建筑(总供暖面积为121,692平方米)。该方法在确定和优先考虑与HWC, HTW和空间供暖相关的tc方面是成功的。最高的CEEP是在空间供暖中计算的最大值为2016兆瓦时,相当于该地区总能源使用的16%
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来源期刊
Advances in Building Energy Research
Advances in Building Energy Research CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.80
自引率
5.00%
发文量
11
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