Abstract
CO2 emissions have become a part of common vocabulary as a result of the significant negative effects of climate change. Through the supply of buildings and infrastructure for the smooth operation of a business, the construction sector plays a vital role in the growth of an economy, both directly and indirectly. However, due to carbon emissions from materials and energy, this business is currently facing significant challenges. Prefabrication has grown in popularity in nations as a result of its several benefits, including quality control, waste minimization, onsite and offshore parallel to coordination, and so. It’s also been identified as a crucial approach for reducing carbon emissions caused by buildings. However, there has been little study into reducing carbon emissions in prefabrication through the use of advanced technical artefacts such as Building Information Modelling (BIM), which are emerging from the technology realm. The goal of this article is to provide a BIM-based method for calculating carbon with the usage of the PLCA method. During the materialization stage of a prefabricated construction project, there is a decrease. Partial Life-cycle Assessment (PLCA) is an efficient and effective technique for estimating carbon emissions from new building construction, according to the study’s findings, and prefabrication reduces carbon emissions when applied. After computation, the comparison is being done using the Monte Carlo simulation to find the percentage difference and this software helps to find the iteration for different scenarios. The study adds to the corpus of knowledge on carbon emissions reduction through prefabrication. Contractors, house buyers, and authorities who are continually looking for methods to build a circular economy should be aware of life cycle assessment of CO2. In this study, we are exploring how pre-fabricated structures are the need of the future and their usefulness to the very extent to determine the emissions at the production, transportation and construction phases of the building life cycle. And determine the amount of CO2 emissions in the pre-fabricated structure by comparing it with the cast in situ and to differentiate the result by creating a simulation through Monte Carlo analysis.
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References
Cao X, Li X, Zhu Y, Zhang Z (2015) A comparative study of environmental performance between prefabricated and traditional residential buildings in China. J Clean Prod 109:10–1016
Teng Y, Pan W, Li K (2018) Comparing life cycle assessment databases for estimating carbon emissions of prefabricated buildings vol 97. pp 10–1061
Sun Y, Liu J, Xia B, Liu S (2018) Study on carbon emission evaluation of prefabricated building at materialization stage. Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/J Shenyang Jianzhu Univ Nat Sci 34:881–888
Feng K, Wang Y, Lu W (2017) The environmental performance of prefabricated building and construction. J Crit Rev 8:18–42
Yang H, Chen J (2021) Carbon emission measurement analysis of prefabricated components in prefabricated buildings. IOP Conf Ser: J Earth Environ Sci 634:1755–1815
Jeong J, Hong T, Ji C, Kim J, Lee M, Jeong K, Lee S (2016) An integrated evaluation of productivity, cost and CO2 emission between prefabricated and conventional columns. J Clean Prod 142:562–699
Du Q, Bao T, Li Y, Huang Y, Shao L (2019) Impact of prefabrication technology on the cradle-to-site CO2 emissions of residential buildings. J Clean Technol Environ Policy 21:10–1007
Kim T, Chae C (2016) Evaluation analysis of the CO2 emission and absorption life cycle for precast concrete in Korea. J Sustain 8:59–109
Hao J, Cheng B, Lu W, Xu J, Wang J, Bu W, Guo Z (2020) Carbon emission reduction in prefabrication construction during materialization stage: a BIM-based life-cycle assessment approach. J Sci Total Environ 723:596–1088
Dong Y, Jaillon L, Chu P, Poon CS (2015) Comparing carbon emissions of precast and cast-in-situ construction methods—a case study of high-rise private building. J Constr Build Mater 99:39–53
Mao C, Shen G, Shen L, Tang L (2013) Comparative study of greenhouse gas emissions between off-site prefabrication and conventional construction methods: two case studies of residential projects. J Energy Build 66:165–176
Pan W, Teng Y, Li K, Yu C (2018) Implications of prefabrication for the life cycle carbon emissions of high-rise buildings in high-density urban environment. J High-Rise Build 10:33–55
Guifen L, Huang Y-C, Bei S (2019) A study on environmental impact assessment of prefabricated building construction. IOP Conf Ser: J Earth Environ Sci 330:1755–1815
Lim J, Kim S (2020) Evaluation of CO2 emission reduction effect using in-situ production of precast concrete components. J Asian Archit Build Eng 19:26–59
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Appendix
Appendix
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Bill of Quantities (BOQ): https://drive.google.com/drive/folders/1P3SIwyaCL7V201S2v9t_BChu_pz9gGqE?usp=sharing
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https://drive.google.com/drive/folders/1njuk-QT0riMOd38nwxHVOW-SNAVIzPkY?usp=sharing
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Master Drawings https://drive.google.com/drive/folders/1q18JWUaa0KW67mVz-Or-ISUZWJgu8Lr8?usp=sharing
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Quality reports https://drive.google.com/drive/folders/1AZyosjF8SjtJSduqtxI13v7xE0cYUTrq?usp=sharing
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Photo documentation https://drive.google.com/drive/folders/1qNHclmwTtl1UYfSY-n9p6HLHwti5IhUr?usp=sharing
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Inturi, S.K., Renganaidu, V. (2024). CO2 Life-Cycle Assessment of Prefabricated and Cast-In-Situ Structure Using Monte Carlo Simulation. In: Kashyap, A., Raghavan, N., Singh, I., Renganaidu, V., Chandramohan, A. (eds) Sustainable Lean Construction . ILCC 2022. Lecture Notes in Civil Engineering, vol 383. Springer, Singapore. https://doi.org/10.1007/978-981-99-5455-1_39
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DOI: https://doi.org/10.1007/978-981-99-5455-1_39
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