Analysis of CO<sub>2</sub> emissions and uncertainties in the embodied stage of buildings

MA Jun

doi:10.11835/j.issn.2096-6717.2021.243

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Analysis of CO₂ emissions and uncertainties in the embodied stage of buildings

Environmental Engineering | 更新时间：2022-11-07

- Analysis of CO₂ emissions and uncertainties in the embodied stage of buildings
- Journal of Civil and Environmental Engineering Vol. 44, Issue 6, Pages: 209-218(2022)
- 作者机构：
  
  中铁十八局集团第四工程有限公司，天津 300222
- 作者简介：
  
  brief:MA Jun (1981- ), senior engineer, main research interest: urban rail construction technology, E-mail: xiaohuiwygs@163.com.
- 基金信息：
  
  Science and Technology Research and Development Program of China Railway Construction Co(2020-C64)
- DOI：10.11835/j.issn.2096-6717.2021.243
  CLC： X506
- Received：11 August 2021，
  
  Published：30 December 2022
- 稿件说明：
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马骏.建筑物化阶段CO₂排放及其不确定性分析[J].土木与环境工程学报,2022,44(06):209-218.

MA Jun.Analysis of CO₂ emissions and uncertainties in the embodied stage of buildings[J].Journal of Civil and Environmental Engineering,2022,44(06):209-218.
马骏.建筑物化阶段CO₂排放及其不确定性分析[J].土木与环境工程学报,2022,44(06):209-218. DOI： 10.11835/j.issn.2096-6717.2021.243.

MA Jun.Analysis of CO₂ emissions and uncertainties in the embodied stage of buildings[J].Journal of Civil and Environmental Engineering,2022,44(06):209-218. DOI： 10.11835/j.issn.2096-6717.2021.243.

摘要

是导致气候变暖的主要物质之一，而建筑行业的碳排放量占世界碳排放总量的25%左右。在建筑生命周期内，年均CO

排放最多的阶段为物化阶段，对建筑物化阶段的碳排放进行量化具有重要的研究意义。考虑排放清单等数据受人为因素及技术水平的限制，会出现一定的变异性，研究采用不确定性分析方法。将建筑按分部分项工程进行分解，结合具体的单元工序对物化阶段的CO

排放进行量化建模，进而给出减排中最需关注的单元工序。通过案例分析发现，建筑物化阶段的碳减排重点是材料生产，其CO

排放量占比达到93%；其次，在不同工序中，减排重点为土建工程，其碳排放占总体的85%；在碳排放量化过程中，对数据和情景两类不确定度进行计算。根据数据不确定度的结果可知，物化阶段CO

排放总量的变异系数为0.3%，结果数据可信度较高。根据情景不确定度的结果可知，运输阶段改变运距及柴油类型可减排39%，施工阶段改变用电类型可减排27%。

Abstract

One of the main substance that contributes to climate warming is CO

and the construction industry accounts for about 25% of the world's total CO

emissions. During the life cycle of a building

the stage with the largest average annual CO

emissions is the embodied stage. Therefore

it is important to study CO

emissions from the embodied stage of buildings. At the same time

the uncertainty analysis method was used because of the partial variability of data such as emission inventories due to human factors and the limitations of the technology level. In this paper

we decompose the building by sub-projects

quantify the CO

emissions of the embodied stage by combining specific unit processes

and then give the unit processes that need the most attention in emission reduction. Through the case study

it is found that the focus of carbon emission reduction in the embodied stage of the building is the material production phase

which accounts for 93% of CO

emissions. Next

among the different processes

the focus of emission reduction is civil engineering

whose carbon emissions account for 85% of the overall. Two types of uncertainties

data and scenario

are also calculated in the carbon emission quantification process. According to the results of data uncertainty

it can be seen that the coefficient of variation of the total CO

emissions in the embodied stage is 0.3%

and the confidence of the result data is high. According to the results of the scenario uncertainty

it is known that changing the distance and type of diesel fuel in the transportation stage can reduce carbon emissions by 39%

and changing the type of electricity used in the construction stage can reduce emissions by 27%.

关键词

Keywords

references

第四次评估报告综合报告撰写组 . 气候变化2007综合报告 [R]. 政府间气候变化专门委员会 IPCC , 2007 .

Energy Transitions Commission . China 2050: A fully developed rich zero-carbon economy [R]. 2019 .

Environment Programme UN . 2020 global status report for buildings and construction: Towards a zero-emission, efficient and resilient buildings and construction sector [R]. 2020 .

江亿 , 胡姗 . 中国建筑部门实现碳中和的路径 [J]. 暖通空调 , 2021 , 51 ( 5 ): 1 - 13 .

JIANG Y , HU S . Paths to carbon neutrality in China’s building sector [J]. Heating Ventilating & Air Conditioning , 2021 , 51 ( 5 ): 1 - 13 . (in Chinese)

林波荣 , 刘念雄 , 彭渤 , 等 . 国际建筑生命周期能耗和CO 2 排放比较研究 [J]. 建筑科学 , 2013 , 29 ( 8 ): 22 - 27 .

LIN B R , LIU N X , PENG B , et al . International comparative study on building life-cycle energy consumption and CO 2 emission [J]. Building Science , 2013 , 29 ( 8 ): 22 - 27 . (in Chinese)

HEIJUNGS R , HUIJBREGTS M A J . A review of approaches to treat uncertainty in LCA [C]//PAHL-WOSTL C, SCHMIDT S, RIZZOLI AE, et al. Complexity and Integrated Resources\Management ; Transactions of the 2nd Biennial Meeting of the International Environmental Modelling and Software Society . Switzerland : The International Environmental Modelling and Software Society (iEMSs) Press . 2004 : 332 - 339 .

HUIJBREGTS M A J , GILIJAMSE W , RAGAS A M J , et al . Evaluating uncertainty in environmental life-cycle assessment. A case study comparing two insulation options for a Dutch one-family dwelling [J]. Environmental Science & Technology , 2003 , 37 ( 11 ): 2600 - 2608 .

WEIDEMA B P . Multi-user test of the data quality matrix for product life cycle inventory data [J]. The International Journal of Life Cycle Assessment , 1998 , 3 ( 5 ): 259 - 265 .

莫华 , 张天柱 . 生命周期清单分析的数据质量评价 [J]. 环境科学研究 , 2003 , 16 ( 5 ): 55 - 58 .

MO H , ZHANG T Z . Data quality assessment of life cycle inventory analysis [J]. Research of Environmental Sciences , 2003 , 16 ( 5 ): 55 - 58 . (in Chinese)

黄娜 , 王洪涛 , 范辞冬 , 等 . 基于不确定度和敏感度分析的LCA数据质量评估与控制方法 [J]. 环境科学学报 , 2012 , 32 ( 6 ): 1529 - 1536 .

HUANG N , WANG H T , FAN C D , et al . LCA data quality assessment and control based on uncertainty and sensitivity analysis [J]. Acta Scientiae Circumstantiae , 2012 , 32 ( 6 ): 1529 - 1536 . (in Chinese)

WEIDEMA B P , BAUER C , HISCHIER R , et al . Overview and methodology: Data quality guideline for the ecoinvent database version 3 [R]. Swiss : Swiss Centre for Life Cycle Inventories , 2013 : 70 - 78 .

CIROTH A , MULLER S , WEIDEMA B , et al . Empirically based uncertainty factors for the pedigree matrix in ecoinvent [J]. The International Journal of Life Cycle Assessment , 2016 , 21 ( 9 ): 1338 - 1348 .

HENRIKSSON P J G , GUINÉE J B , HEIJUNGS R , et al . A protocol for horizontal averaging of unit process data-including estimates for uncertainty [J]. The International Journal of Life Cycle Assessment , 2014 , 19 ( 2 ): 429 - 436 .

MULLER S , LESAGE P , SAMSON R . Giving a scientific basis for uncertainty factors used in global life cycle inventory databases: An algorithm to update factors using new information [J]. The International Journal of Life Cycle Assessment , 2016 , 21 ( 8 ): 1185 - 1196 .

IMBEAULT-TÉTREAULT H , JOLLIET O , DESCHÊNES L , et al . Analytical propagation of uncertainty in life cycle assessment using matrix formulation [J]. Journal of Industrial Ecology , 2013 , 17 ( 4 ): 485 - 492 .

HEIJUNGS R , LENZEN M . Error propagation methods for LCA-A comparison [J]. The International Journal of Life Cycle Assessment , 2014 , 19 ( 7 ): 1445 - 1461 .

GROEN E A , HEIJUNGS R , BOKKERS E A M , et al . Methods for uncertainty propagation in life cycle assessment [J]. Environmental Modelling & Software , 2014 , 62 : 316 - 325 .

HEIJUNGS R , GUINÉE J , KLEIJN R , et al . Bias in normalization: Causes, consequences, detection and remedies [J]. The International Journal of Life Cycle Assessment , 2006 , 12 ( 4 ): 211 - 216 .

BENINI L , SALA S . Uncertainty and sensitivity analysis of normalization factors to methodological assumptions [J]. The International Journal of Life Cycle Assessment , 2016 , 21 ( 2 ): 224 - 236 .

SALA S , BENINI L , MANCINI L , et al . Integrated assessment of environmental impact of Europe in 2010: Data sources and extrapolation strategies for calculating normalisation factors [J]. The International Journal of Life Cycle Assessment , 2015 , 20 ( 11 ): 1568 - 1585 .

LAUTIER A , ROSENBAUM R K , MARGNI M , et al . Development of normalization factors for Canada and the United States and comparison with European factors [J]. Science of the Total Environment , 2010 , 409 ( 1 ): 33 - 42 .

HUIJBREGTS M A J . Part I: A general framework for the analysis of uncertainty and variability in life cycle assessment [J]. The International Journal of Life Cycle Assessment , 1998 , 3 ( 5 ): 273 - 280 .

MENDOZA BELTRAN A , HEIJUNGS R , GUINÉE J , et al . A pseudo-statistical approach to treat choice uncertainty: The example of partitioning allocation methods [J]. The International Journal of Life Cycle Assessment , 2016 , 21 ( 2 ): 252 - 264 .

HONG J K , SHEN G Q , PENG Y , et al . Reprint of: Uncertainty analysis for measuring greenhouse gas emissions in the building construction phase: A case study in China [J]. Journal of Cleaner Production , 2017 , 163 : S420 - S432 .

ZHANG Y R , WU W J , WANG Y F . Bridge life cycle assessment with data uncertainty [J]. The International Journal of Life Cycle Assessment , 2016 , 21 ( 4 ): 569 - 576 .

国家统计局 . 中国第三产业统计年鉴-2017 [M]. 北京 : 中国统计出版社 , 2017 .

National Bureal Statistic . China Statistical Yearbook of The Tertiary Industry [M]. Beijing : China Statistics Press , 2017 . (in Chinese)

李学东 . 铁路与公路货物运输能耗的影响因素分析 [D]. 北京 : 北京交通大学 , 2009 .

LI X D . Analysis on factors affected rail/road freight transportation energy consumption [D]. Beijing : Beijing Jiaotong University , 2009 . (in Chinese)

建筑碳排放计算标准 : GB/T 51366—2019 [S]. 北京 : 中国建筑工业出版社 , 2019 .

Standard for building carbon emission calculation : GB/T 51366-2019 [S]. Beijing : China Architecture & Building Press , 2019 . (in Chinese)

袁泽 , 李琦 . 基于LCA的工业过程碳排放建模和环境评价 [J]. 测绘科学 , 2017 , 42 ( 5 ): 196 - 200 .

YUAN Z , LI Q . Modeling and environmental assessment of industrial carbon emissions based on LCA [J]. Science of Surveying and Mapping , 2017 , 42 ( 5 ): 196 - 200 . (in Chinese)

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⁰

Analysis of CO2 emissions and uncertainties in the embodied stage of buildings

DOI：10.11835/j.issn.2096-6717.2021.243

摘要

Abstract

关键词

Keywords

references

Analysis of CO₂ emissions and uncertainties in the embodied stage of buildings