Life cycle assessment for carbon emission impact analysis for the renovation of old residential areas

Luo, Xiaoyu; Ren, Mengyu; Zhao, Jiahong; Wang, Zitao; Ge, Jian; Gao, Weijun

doi:10.1016/j.jclepro.2022.132930

Cited by 38 publications

(21 citation statements)

References 39 publications

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“…A similar study in Egypt can be found in Marey et al 24 . Luo et al 25 studied the carbon emission for the renovation of old residential areas through a life cycle assessment. Based on BIM and life cycle assessment, Yang et al 26 conducted a field study of carbon footprint calculation of a deferential project.…”

Section: Literature Reviewmentioning

confidence: 99%

System based greenhouse emission analysis of off-site prefabrication: a comparative study of residential projects

Guo

Shi

Yan

et al. 2023

Sci Rep

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High-story residential structures and off-site prefabrication have been dominant choices in the construction industry. There is a substantial quantity of greenhouse gas (GHG) emissions produced by the construction industry. In fact, the construction industry is responsible for 30 percent of all GHG emissions. In this study, we analyse the differences between the conventional technique of building and the off-site prefabricating construction method. First, we evaluate the emissions emitted from key processes during the off-site prefabricating construction. In addition, we analyse the qualitative and quantitative differences between two prefabrication structural systems, namely concrete and steel, which are the two most common structural systems utilised in residential construction projects in China. We examine and analyse four different case studies in order to exemplify the proposed methodology and offer managerial insights.

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Section: Literature Reviewmentioning

confidence: 99%

System based greenhouse emission analysis of off-site prefabrication: a comparative study of residential projects

Guo

Shi

Yan

et al. 2023

Sci Rep

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“…The scenarios considered in this study have been chosen because they are considered the most realistic scenarios, and there are no other known scenarios at this time. As will be described in the following paragraph, the importance of retrofitting has already been presented in other articles (Lederer et al [4], Luo et al [5], and Zhou et al [6]). This article summarizes its contribution to the area.…”

Section: Introductionmentioning

confidence: 92%

“…The authors also concluded that most CO2 emissions were generated during building operations. Luo et al [5] conducted a life-cycle analysis to investigate the impact of renovating old residential areas on carbon emissions by considering the materialization, demolition, and operation phases in their study. They concluded that the renovation of old residential buildings leads to reduced emissions in the use phase.…”

Section: Introductionmentioning

confidence: 99%

Historical Evolution and Scenarios Up to 2050 of Heating Energy Consumption and CO2 Emissions of Residential Buildings in Vienna

Haas¹,

Ajanović²,

Lederer³

et al. 2022

J Energ Power Technol

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Today, the building sector poses a major problem concerning fossil fuel energy consumption and the corresponding emissions of local pollutants and global greenhouse gases (GHG). In addition, an increasing number of people are living in urban areas, and it is becoming challenging to provide the necessary living space and energy for heating in fast-growing cities. Currently, urban areas host approximately 50 % of the global population and generate 70 % of GHG. The core objective of this study is to analyze the historical development and to derive scenarios for the possible future development of the overall CO2 emissions in residential buildings in Vienna up to the year 2050, considering all relevant emissions from final energy, as well as the embedded emissions from the construction of new buildings, retrofitting, and rooftop apartment extensions. This study indicates the following key points: (i) The renovation of buildings by improving the thermal quality is the most favorable scenario strategy and produces the least CO2 emissions. (ii) The transition to the sustainable heating of buildings requires at least a temporary "investment" in embedded CO2 emission, e.g., in retrofitting and insulation of buildings to harvest reductions in CO2 emissions in the long run, from a smaller amount of energy used for heating. The major conclusions of this study are as follows: (i) To implement the most favorable renovation scenario, strong policy measures are required, such as standards for new buildings and for building retrofitting, as well as subsidies to ensure an accelerated refurbishment rate of the old low thermal building stock. (ii) It is important to reduce the CO2 emission of the final energy carriers, especially of district heating, by increasing the usage of renewable energy carriers such as biomass, solar, and geothermal.

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“…The significance of residential blocks has always been a concern, as they are directly linked to the carbon emissions resulting from residents' day-to-day activities such as lighting, heating, and cooking. It has been found that carbon emissions can be reduced by 35.13% through the optimization of the building monomer and landscape greening [50]. This requires further discussion on the block scale.…”

Section:  Rlrmentioning

confidence: 99%

Spatial Characteristics and Influencing Factors of Multi-Scale Urban Living Space (ULS) Carbon Emissions in Tianjin, China

Zhang,

Liao,

Yin

et al. 2023

Buildings

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Urban living space (ULS) is known to be a significant contributor to carbon emissions. However, there is a lack of studies that have considered the impact of spatial organization indexes (SOIs) of various scales on urban living space carbon emissions (ULSCE), and so far, no definitive conclusions have been reached. To address this gap, taking Tianjin as an example, the measurement methods of ULSCE and SOI at different scales were proposed, and a random forest model was constructed to explore the effects of SOI on ULSCE. The results indicated that on the district scale, Beichen had the highest carbon emissions and absorption in 2021, with carbon emissions reaching 1.43 × 108 t and carbon absorption at 7.29 × 105 kg. In terms of area scale, the comprehensive service area had the highest carbon emissions at 3.57 × 108 t, accounting for 47.70%, while the green leisure area had the highest carbon absorption at 5.76 × 105 kg, accounting for 32.33%. At the block scale, the industrial block had the highest carbon emissions at 1.82 × 108 t, accounting for 54.02%, while the forest block had the highest carbon absorption at 1.25 × 106 kg, accounting for 91.33%. Each SOI had varying impacts, with the industrial land ratio (ILR) having the highest order of importance at the area scale, followed by road network density (RND), residential land ratio (RLR), bus station density (BSD), public service facilities land ratio (PLR), land mixing degree (LMD), open space ratio (OSR), and commercial land ratio (CLR). ILR, RND, and RLR were particularly important, each exceeding 10%, with importance values of 50.66%, 17.79%, and 13.17%, respectively. At the block scale, building area (BA) had the highest importance, followed by building density (BD), building height (BH), land area (LA), and floor area ratio (FAR). BA and BD were particularly important, with values of 27.31% and 21.73%, respectively. This study could serve as both theoretical and practical guidance for urban planning to aid the government in developing differentiated carbon emissions reduction strategies that can mitigate the heat island effect and promote low-carbon healthy urban planning.

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Life cycle assessment for carbon emission impact analysis for the renovation of old residential areas

Cited by 38 publications

References 39 publications

System based greenhouse emission analysis of off-site prefabrication: a comparative study of residential projects

System based greenhouse emission analysis of off-site prefabrication: a comparative study of residential projects

Historical Evolution and Scenarios Up to 2050 of Heating Energy Consumption and CO<sub>2</sub> Emissions of Residential Buildings in Vienna

Spatial Characteristics and Influencing Factors of Multi-Scale Urban Living Space (ULS) Carbon Emissions in Tianjin, China

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