Abstract
Decarbonising industrial clusters globally is crucial in combating climate change and is integral to the United Kingdom's ambition of achieving a net-zero economy by 2050. The absence of holistic frameworks that provide a nuanced understanding of the broad spectrum of mitigation options for decarbonising industrial clusters, coupled with a deficiency in real-world empirical evaluations, present a substantial barrier in realising set targets for reducing CO2 emissions. The increasing fragmentations in industrial decarbonisation frameworks further exacerbates the challenge of identifying the necessary and sufficient actions for achieving optimal industrial decarbonisation and net-zero transitioning. This paper proposes an assessment framework for industrial cluster decarbonisation and aims to address the existing gaps, particularly in the assessment of social, economic, and environmental impact of any deployed technology. Focusing on a wide range of technologies, sectoral strategies, and regional dynamics, the proposed framework is driven by specific key performance indicators and a comprehensive human and data-driven analytical approach that reflects descriptive, diagnostic, and prescriptive insights on the Teesside industrial cluster in the United Kingdom. Following the validation of the proposed assessment framework, empirical findings from 30 in-depth semi-structured interviews, two workshops, focus group meetings and the literature on industrial decarbonisation reveal that the framework recognises the complex interplay of technology and decision-making in the transition to net-zero of industrial clusters. The article concludes that the proposed assessment framework can assist stakeholders, policymakers, and researchers in assessing the impacts of energy transition, which is critical to policy design and decision-making while also contributing to achieving sustainable decarbonisation goals.
More Information
Divisions: | School of Built Environment, Engineering and Computing |
---|---|
Identification Number: | https://doi.org/10.1016/j.erss.2024.103459 |
Status: | Published |
Refereed: | Yes |
Publisher: | Elsevier BV |
Additional Information: | © 2024 The Authors |
Uncontrolled Keywords: | 1604 Human Geography; 1605 Policy and Administration |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Mann, Elizabeth |
Date Deposited: | 11 Mar 2024 16:49 |
Last Modified: | 13 Jul 2024 13:13 |
Item Type: | Article |
Export Citation
Explore Further
Read more research from the author(s):