TY - GEN
T1 - Integrating Sociotechnical Systems in Offshore Renewable Energy
T2 - 10th International Conference on Research into Design, ICoRD 2025
AU - Yaghoubirad, Maryam
AU - Azizi, Narjes
AU - Khan, Saffeer
AU - Hall, John
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - A mixed data framework to analyze offshore renewable energy (ORE) initiatives, emphasizing the importance of combining qualitative and quantitative data, is presented. The introduction highlights the role of renewable energy, particularly in enhancing community welfare. The impact of sociotechnical analysis on the design, deployment, and operation of ORE systems is reviewed. A case is made for integrating qualitative insights with quantitative metrics to better understand sociotechnical dynamics, along with mathematical methods for data representation and uncertainty quantification. The work further explores decision-making frameworks and proposes a methodology with four objectives using digital twins and machine learning to optimize ORE deployment. The conclusion emphasizes the need to incorporate social phenomena into ORE system design and operation. This work is essential for stakeholders, policymakers, and project developers, aiming to elevate the integration of social considerations in ORE development.
AB - A mixed data framework to analyze offshore renewable energy (ORE) initiatives, emphasizing the importance of combining qualitative and quantitative data, is presented. The introduction highlights the role of renewable energy, particularly in enhancing community welfare. The impact of sociotechnical analysis on the design, deployment, and operation of ORE systems is reviewed. A case is made for integrating qualitative insights with quantitative metrics to better understand sociotechnical dynamics, along with mathematical methods for data representation and uncertainty quantification. The work further explores decision-making frameworks and proposes a methodology with four objectives using digital twins and machine learning to optimize ORE deployment. The conclusion emphasizes the need to incorporate social phenomena into ORE system design and operation. This work is essential for stakeholders, policymakers, and project developers, aiming to elevate the integration of social considerations in ORE development.
KW - Data integration
KW - Offshore renewable energy
KW - Sociotechnical analysis
KW - Stakeholder engagement
KW - Sustainability metrics
UR - https://www.scopus.com/pages/publications/105020890947
U2 - 10.1007/978-981-96-7316-2_16
DO - 10.1007/978-981-96-7316-2_16
M3 - Conference contribution
AN - SCOPUS:105020890947
SN - 9789819673155
T3 - Lecture Notes in Mechanical Engineering
SP - 197
EP - 205
BT - Responsible and Resilient Design for Society, Volume 8 - Proceedings of ICoRD 2025
A2 - Chakrabarti, Amaresh
A2 - Singh, Vishal
A2 - Onkar, Prasad S.
A2 - Shahid, Mohammad
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 8 January 2025 through 10 January 2025
ER -