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Development of enthalpy-based climate indicators for characterizing building cooling and heating energy demand under climate change

机译:基于焓的气候指标的发展,以便在气候变化下进行建筑冷却和加热能量需求

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The global warming trend is considered to significantly reshape the energy budgets of buildings in the future. Traditional characterization indices (i.e., HDDs and CDDs) for residential cooling- and heating-related energy demand neglect the variability in the latent heat of humid air. In this study, with the incorporation of more reliable climate information, high-resolution enthalpy-based climate indicators (HEDs and CEDs) are developed to better characterize climate change impacts on building energy demand. Compared with the proposed indicator, HDDs and CDDs will overestimate and underestimate the energy demand of buildings, respectively. This is especially the case for regions such as South Africa where apparent alternation of humid and dry seasons exists. A higher correlation of HEDs and CEDs with South African electricity consumption as compared with that for CDDs and HDDs further demonstrates the effectiveness of the proposed high-resolution climate indicators. HEDs and CEDs derived from the downscaled climate variables are projected under three scenarios combining SSPs and RCPs to the end of this century. Negligible increments and slight decrements in cooling- and heating-related energy demand are projected in the SSP1-2.6 scenario. Under the SSP2-4.5 scenario, South Africa is likely to experience huge reductions in heating energy demand and relatively lower increases in cooling energy requirement. For the SSP5-8.5 scenario, enormous increments and decrements of cooling- and heating-related energy demand are expected in most of the highly urbanized cities in South Africa. The developed indicators are expected to outperform HDDs and CDDs in other regions with apparent alterations of humid and dry seasons.
机译:全球变暖趋势被认为大大重塑未来建筑的能源预算。用于住宅冷却和加热相关能源需求的传统特征指数(即,HDD和CDD)忽略了潮湿空气潜热的可变性。在这项研究中,通过加入更可靠的气候信息,基于高分辨率的基于焓的气候指标(HED和CED),以更好地表征气候变化对建筑能源需求的影响。与拟议指标相比,HDD和CDDS将分别高估和低估建筑物的能源需求。尤其是南非等地区的情况,其中存在潮湿和干燥季节的明显交替。与CDDS和HDD相比,康复和CED与南非电力消费的相关性更高的相关性进一步证明了提出的高分辨率气候指标的有效性。从次要的气候变量衍生的亨德斯和CED在三个场景中投射了三个场景,将SSP和RCP结合到本世纪末。在SSP1-2.6场景中预计,将忽略不计的增量和冷却和加热相关的能源需求的略微递减。根据SSP2-4.5情景,南非可能会在加热能量需求方面经历巨大减少,并且冷却能源需求的增加较低。对于SSP5-8.5的情景,预计南非大部分高度城市化城市的巨大增量和冷却和加热相关的能源需求的差异。预计开发的指标将在其他地区占HDD和CDD,具有明显改变潮湿和干燥的季节。

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