Carbon emissions are categorised as Embodied Carbon (EC) occurring in the production phase and Operational Carbon (OC) occurring in the operational phase of buildings. The current focus on producing zero-carbon buildings, emphasises reducing OC and ignores the importance of reducing EC emissions. This study focuses on EC. Methods available in EC estimating currently produce estimates that often do not complement each other. This makes it important to develop a robust and accurate methodology for estimating EC. Blockchain is an emerging technology that has significant potential for transaction processing in supply chains. The construction industry being the second least digitalised industry, the adoption of innovative technologies is predominantly important. This paper explores the potential application of blockchain for accurate estimation of EC in construction supply chains. A detailed literature review and expert interviews revealed that, compared to traditional information systems, blockchain systems could eliminate issues in EC estimating highlighting its potential credible application for EC estimating. Scalability was identified as a feature that was lacking in a blockchain system, however, for EC estimating, its impact was identified as minimal. It will be difficult to generalise the findings of the study due to interview based qualitative methodology adopted in this study along with the fact that blockchain is an emerging and fairly new technology. However, a similar process could be followed by other studies to compare blockchain with traditional information systems, to evaluate the suitability of blockchain technology to develop prototype systems.
Carbon estimating plays a vital role in the construction industry. The current focus on introducing zero-carbon construction projects reduces operational carbon, at the expense of Embodied Carbon (EC). However, it is important to reduce overall net carbon emissions. There are various methods to estimate carbon, but the accuracy of these estimates is questionable. This paper reviews a novel methodology, the Supply Chain based Embodied carbon Estimating Method (SCEEM), which was introduced recently to accurately estimate EC in construction supply chains. SCEEM is compared against existing EC estimating methods (Blackbook and eToolLCD) using a case study approach. It is also supplemented with a comprehensive literature review of existing EC methods. The EC values calculated using Blackbook and eToolLCD were mostly higher than SCEEM. Since SCEEM uses actual site data and considers first principles-based value addition method to estimate EC, it is considered accurate. The cross-case analysis revealed that SCEEM provided consistent results. Hence, SCEEM is recommended to accurately estimate EC of any type of project.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.