Technical Publication
Embodied Carbon in the Built Environment
$51.00
Only available electronically.
The built environment is one of the largest emitters of carbon dioxide globally therefore reducing both operational and embodied emissions is critical to improving the overall footprint of the industry. This is a practical guide suitable for a wide audience of built environment professionals who need to deepen their knowledge of this crucial topic.
Digital licensing options are now available for universities and other educational institutions. Please visit Browns Books for Students or Askews and Holt.
Summary
This guide outlines what embodied carbon is and why is it important, detailing the regulatory context along with relevant models and standards. It explains approaches to calculating embodied carbon including what information you need and where to get it and highlights the importance of engaging the supply chain, including the role of clients and the use of clauses, to propel requirements down the value chain. It explores how to use the outputs including benchmarking, target setting and practical strategies for reducing embodied carbon, as well as looking at the role of emerging technologies – such as advanced materials and construction methodologies, and artificial intelligence – and provides case studies from the UK and internationally.
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Contents
Overview of Embodied Carbon in Construction
Understanding Embodied Carbon
Approaches to Calculating Embodied Carbon
Relevant Models and Standards
Life Cycle Assessment (LCA) in Detail
Regulating Embodied Carbon
Engaging the Supply Chain
Using the Outputs
Practical Methods of Reducing Embodied Carbon
Collaboration and Stakeholder Engagement
Project Case Studies
Future Trends and Research
Conclusion
About the Author
Dr Kambiz Rakhshanbabanari is a Lecturer in Construction Engineering and Management at Loughborough University, with research experience in energy efficiency and sustainability in residential and commercial buildings, building energy and performance assessment, Life Cycle Analysis, supervised machine learning and building structure reuse.
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