2019
DOI: 10.1007/s12273-019-0515-7
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Regional similarity of shape coefficient of rural residences—Taking Hangzhou rural region as a case

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Cited by 10 publications
(5 citation statements)
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“…Research has shown that, in the cold areas of the Shandong region, an increase by every 0.01 in the shape coefficient of buildings on the basis of 0.3, building energy consumption will increase about 2.4%-2.8%. As the shape coefficient reduces by each 0.01, energy consumption will be reduced by 2.3%-3% [17], hence the building energy consumption of rural houses in the research region are generally high. provides some theoretical and technical references and values for the reconstruction work in other areas.…”
Section: Rural Residential Layoutmentioning
confidence: 99%
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“…Research has shown that, in the cold areas of the Shandong region, an increase by every 0.01 in the shape coefficient of buildings on the basis of 0.3, building energy consumption will increase about 2.4%-2.8%. As the shape coefficient reduces by each 0.01, energy consumption will be reduced by 2.3%-3% [17], hence the building energy consumption of rural houses in the research region are generally high. provides some theoretical and technical references and values for the reconstruction work in other areas.…”
Section: Rural Residential Layoutmentioning
confidence: 99%
“…When a building is designed, the shape coefficient refers to the ratio between its external surface and the total constructed volume. The smaller the shape coefficient is, the smaller the heat dissipation area shared by the unit building space, which causes less energy consumption [17]. Zhao pointed out that the shape coefficient of rural houses shall have a certain influence on building energy consumption and indoor thermal environment, and the shape coefficient should be minimized [18].…”
Section: Introductionmentioning
confidence: 99%
“…Based on the literature review and extraction of passive strategies commonly used in hot summer and cold winter areas, our research team screened the passive design parameters that are relatively important to building energy consumption, including building orientation (BO), sunroom depth (SD), overhang depth (OD), courtyard size (CS), window-wall ratio (WWR), window heat transfer coefficient (WHTC), external wall heat transfer coefficient (EWHTC) and roof heat transfer coefficient (RHTC). 34,[36][37][38][39][40][41] Since the focus of this study was the transformation of traditional dwellings, passive design parameters such as BO and CS are not applicable to the renovation of old buildings. As a result, the selected six passive design parameters suitable for this research are SD, OD, WWR, WHTC, EWHTC and RHTC.…”
Section: Passive Design Parametersmentioning
confidence: 99%
“…In response to the cold winter conditions in Zibo, Shandong, the green farmhouse adopts a compact collective layout, integrating the various functional rooms scattered in the courtyard in the traditional layout mode into one block. This block has two layers and the depth of the space is moderately increased, which form is approximately a square shape, unnecessary bump changes on the shape are avoided, and the shape factor is minimized as much as possible [5]. The roof form is a sloping roof, which continues the traditional rural style while adapting to the cold winter weather conditions (Figure 2).…”
Section: Architectural Layout Designmentioning
confidence: 99%