Narrative
University of Manchester research, in collaboration with Electricity Northwest Ltd (ENWL), has developed and implemented a suite of control options across the electricity network of the North West of the UK. This avoided substantial cost-intensive upgrades, whilst enabling the integration of a growing number of renewable technologies into the network. ENWL are now able to provide “fast-reserve” services to the National Grid. Collectively, this research has:- Fundamentally changed ENWL’s policy making and investment process to assess network upgrade options;
- Provided evidence enabling ENWL to secure GBP18,000,000 funding for the UK’s first actively optimised network;
- Since 2016, generated [text removed for publication] savings (to ENWL and customers) across the network;
- Since 2019, generated [text removed for publication] “fast-reserve” revenue for ENWL;
- Supported trials (Smart Streets) that could save up to 17 MtCO2e in the North West of England by 2060.
Impact date | 1 Jan 2015 → 1 Jan 2020 |
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Category of impact | Environmental, Economic |
Impact level | Adoption |
Research Beacons, Institutes and Platforms
- Energy
- Manchester China Institute
Documents & Links
Related content
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Research output
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Unlocking New Sources of Flexibility: CLASS: the World's Largest Voltage-Led Load-Management Project
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Quantifying the Impacts of Modelling Assumptions on Accuracy and Computational Efficiency for Integrated Water-Energy System Simulations Under Uncertain Climate
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Estimation and Validation of Characteristic Load Profile through Smart Grid Trials in a Medium Voltage Distribution Network
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Voltage-Led Load Management in Whole Distribution Networks
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Ancillary Service for Transmission Systems by Tap Stagger Operation in Distribution Networks
Research output: Contribution to journal › Article › peer-review
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Flexible investment under uncertainty in smart distribution networks with demand side response: Assessment framework and practical implementation
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An Approach to Prospective Consequential Life Cycle Assessment and Net Energy Analysis of Distributed Electricity Generation
Research output: Contribution to journal › Article › peer-review