China's building stock estimation and energy intensity analysis

Huo, Tengfei; Cai, Weiguang; Hong, Ren; Feng, Wei; Zhu, Minglei; Lang, Ningning; Gao, Jixiang

doi:10.1016/j.jclepro.2018.10.060

Cited by 91 publications

(26 citation statements)

References 32 publications

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“…The cumulative metabolic amount corresponds to the concept of accumulated stock. In this regard, the cumulative amount of metabolism quantifies what was accumulated [60][61][62]. This study focused on persistent accumulation, which is the metabolic response of urban land use to land-use changes, the metabolic responses of urban land expansions (parts I and II, i.e., buildings and roads); and the subsequent sections are for further investigation.…”

Section: Methods and Data Sourcesmentioning

confidence: 99%

RETRACTED: The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China

Chen

Zhang

et al. 2020

Remote Sensing

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As an open artificial ecosystem, the development of a city requires the continuous input and output of material and energy, which is called urban metabolism, and includes catabolic (material-flow) and anabolic (material-accumulation) processes. Previous studies have focused on the catabolic and ignored the anabolic process due to data and technology problems. The combination of remote-sensing technology and high-resolution satellite images facilitates the estimation of cumulative material amounts in urban systems. This study focused on persistent accumulation, which is the metabolic response of urban land use/urban land expansion, building stock, and road stock to land-use changes. Building stock is an extremely cost-intensive and long-lived component of cumulative metabolism. The study measured building stocks of Jinchang, China’s nickel capital by using remote-sensing images and field-research data. The development of the built environment could be analyzed by comparing the stock of buildings on maps representing different time periods. The results indicated that material anabolism in Jinchang is a distance-dependent function, where the amounts and rates of material anabolism decrease with changes in distance to the central business district (CBD) and city administration center (CAC). The cumulative metabolic rate and cumulative total metabolism were observed to be increasing, however, the growth rate has decreased.

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Section: Methods and Data Sourcesmentioning

confidence: 99%

RETRACTED: The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China

Chen

Zhang

et al. 2020

Remote Sensing

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“…According to previous studies, the construction industry generates about 33% of the world's carbon emissions and consumes about 40% of the world's total energy, 16% of its water, and 40% of its raw materials (Dong et al, 2018;Pan & Garmston, 2012;Son et al, 2011). Therefore, enhancing the construction industry's operational efficiency has huge implications for improving the degree of environmental protection and conservation of natural resources (Huo et al, 2019;Liang et al, 2019;Liu et al, 2019). This is especially true in countries like China, where the construction industry is expected to continue its dramatic growth due to ongoing rapid urbanization (Mao et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Mapping the dynamics of China’s prefabricated building policies from 1956 to 2019: a bibliometric analysis

Wang

Xue

et al. 2020

Building Research & Information

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Compared to buildings constructed in situ, prefabricated buildings (PBs) offer many environmental benefits in terms of carbon emissions, energy consumption, material consumption, and waste generation. To mitigate adverse impacts by the building sector on the environment, PBs have been widely applied in many countries. Although PB policies (PBPs) have played a significant role in guiding, supporting, and promulgating China's PB development, few studies have systematically investigated these PBPs. As a result, the evolution of PBPs in China is not clear, which limits practitioners' overall understanding of PBPs. To bridge this knowledge gap, a bibliometric analysis method was employed to review 136 PBPs issued in China from 1956 to 2019. Through text mining, a co-word network analysis, and a collaboration network analysis, we mapped, visualized, and described the PBP system over time. The evolution of PBPs can be divided into four phases: exploration (1956-1995), fluctuation (1996-2005), steady improvement (2006-2015), and rapid growth (2016-2019). Our findings indicate that the PB policy targets, policy objects, policy tools, performance indicators, and the collaboration structure of policymaking agencies have changed significantly across these phases. Lastly, the PB experience in China was compared with those of countries exhibiting higher levels of PB development, which can serve as a reference for PB development.

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“…EUI articulates the energy efficiency in buildings as a function of its size or other characteristics such as the building function and occupation density and daily and yearly using periods [41]. It is expressed as energy per square meter per year and is calculated by dividing the total energy consumed by the building in one year by the total gross floor area of the building [42,43]. The current focus on increasing energy use efficiency in buildings has made the use of EUI popular by governmental organizations, non-government organizations and building industry groups, including American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) [40].…”

Section: Related Literaturementioning

confidence: 99%

Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects

et al. 2019

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Buildings demand a significant amount of energy during their life cycles, hence, effective design measures need to be adopted to ensure efficient energy usage and management in buildings. This study proposes a framework based on various performance parameters to enable decision-makers utilizing standard procedures and software to empower the process of sustainable energy use and management in buildings, through a parametric analysis in different climatic conditions. Experimental design is adopted within the framework via the use of various performance parameters related to the building design (i.e., construction materials for exterior walls and roofs, as well as a set of window-to-wall ratios). Results indicate that climate data plays a fundamental role in the choice of design factors that are best suited for effective energy consumption in buildings. In particular, sub-type climate classifications, as opposed to the primary climate group, have a minor influence. Around 15% improvement in the energy consumption in buildings is noticed due to changes to the design factor such as the window-to-wall ratio. Insights that can be gleaned from this study include the impact of space area, exterior openings and material thickness and choice for the envelope of the building in all climate classifications, aiding in the design of low-energy buildings.

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China's building stock estimation and energy intensity analysis

Cited by 91 publications

References 32 publications

RETRACTED: The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China

RETRACTED: The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China

Mapping the dynamics of China’s prefabricated building policies from 1956 to 2019: a bibliometric analysis

Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects

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