区域供暖脱碳和建筑深度改造是实施效率第一原则的竞争或协同战略

IF 5.4 Q2 ENERGY & FUELS
Eftim Popovski , Mario Ragwitz , Heike Brugger
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引用次数: 3

摘要

本文讨论了在欧洲各种气候条件和城市类型下,区域供暖网络与建筑物深度改造的兼容性。该研究分析了五个具有不同DH市场份额、气候区、人口密度和可转移潜力的城市。首先,我们预测了2050年之前每个施工期的人口、供暖建筑面积和建筑面积份额,然后计算了三种不同的热需求情景,即建筑翻新率分别为总建筑面积的1%、2%和3%。其次,确定了未来合适的DH区域,最小网络为25 GWh/km2。应用自下而上的GIS模型,根据城市面积类型、建筑数量、街道长度和热密度,计算DH配电资金和运营成本。最后,为了比较每种情况下的供热总成本,计算了每种建筑类型的单个供暖成本。结果表明,即使在翻新率高达3%的情况下,建成区的高比例(根据城市类型,在23%至68%之间)也适合在2050年提供DH。DH在总供热中的份额在49%至83%之间。与当前相比,由于热密度降低,预计DH价格将上涨14%至35%,具体取决于情景和案例研究。然而,在几乎所有分析的案例研究中,最大化已确定区域的DH连接率会降低热的总成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Decarbonization of district heating and deep retrofits of buildings as competing or synergetic strategies for the implementation of the efficiency first principle

Decarbonization of district heating and deep retrofits of buildings as competing or synergetic strategies for the implementation of the efficiency first principle

This paper discusses the compatibility of district heating (DH) networks with deep retrofits of buildings under various European climate conditions and city typologies. The study analyses five cities with different DH market shares, climate zones, population densities, and transferability potentials. First, we have forecasted population, heated floor area, and share of floor area per construction period until 2050, and then calculated three different heat demand scenarios for varying building refurbishment rates of 1%, 2%, and 3% of the total floor area. Second, future suitable DH regions with min 25 GWh/km2 networks were identified. By applying a bottom-up GIS model, based on the type of city area, number of buildings, street length, and heat density, the DH distribution capital and operation costs were calculated. Lastly, to compare the total cost of heat supply for each scenario, the cost of individual heat per building type was calculated.

The results show that even in the scenarios with high refurbishment rates of 3%, high percentage of the built-up areas, between 23% and 68% depending on the city typology, are suitable for DH supply in 2050. The share of DH from the total heat supply varies between 49% and 83%. An increase of the DH price between 14% and 35%, depending on the scenario and case study can be expected due to the reduced heat densities compared to the current ones. Nevertheless, maximizing the DH connection rates in the identified regions leads to lower total cost of heat in almost all the analysed case studies.

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来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
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