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Details of Grant 

EPSRC Reference: EP/R002339/1
Title: System Transition to Digital Energy
Principal Investigator: Varga, Professor LE
Other Investigators:
Clarkson, Professor J Bunn, Professor DW Tsourdos, Professor A
Researcher Co-Investigators:
Project Partners:
IBM UK Ltd Institute For Future Cities
Department: Sch of Management
Organisation: Cranfield University
Scheme: Standard Research - NR1
Starts: 01 June 2017 Ends: 30 November 2017 Value (£): 60,466
EPSRC Research Topic Classifications:
EPSRC Industrial Sector Classifications:
Energy
Related Grants:
Panel History:
Panel DatePanel NameOutcome
01 Mar 2017 Energy Systems Catapult Feasibility Studies Call Announced
Summary on Grant Application Form
This study's overarching goal is to create a step change in our understanding of how digitalisation will impact on the pathway to decarbonise the energy sector. The potential of the Internet of Things promoting the integration of Smart appliances, Storage, Smart Contracts or Electrical Vehicles will underpin volatile, uncertain, complex and ambiguous (VUCA) scenarios that need to be addressed with architectural solutions, new value streams, and necessary frameworks for effective implementations.



Within this scoping study we will evaluate five emergent fields (domains) in terms of their innovative directions, potential impact and pace of change in order to prioritize achievable research themes and develop a research framework for future study of their synergies. This process will create a proof of concept systems model for use in analysis of the energy transition, thereby embedding novel analytical approaches based on technologies that we expect to find in operational energy systems in the future.

This proof of concept for energy transition will underpin a major collaborative proposal on energy system transition in VUCA scenarios demonstrating how cyber, physical and social systems are seamlessly interwoven.

We consider this scoping study is an essential precursor for successful transition to digital data-driven energy futures enhancing people's lives and interactions with their energy environment. The ambition includes identifying opportunities to capture real-world data, such as that from social media, smart meters, which suggest changing and novel patterns of energy supply and demand, and to use this to derive improved transition pathways.

Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
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Further Information:  
Organisation Website: http://www.cranfield.ac.uk