Projects
Projects: Projects for Investigator |
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| Reference Number | EP/M507143/1 | |
| Title | Ebbs and Flows of Energy Systems (EFES) | |
| Status | Completed | |
| Energy Categories | Energy Efficiency(Residential and commercial) 10%; Energy Efficiency(Transport) 25%; Other Power and Storage Technologies(Electric power conversion) 15%; Other Power and Storage Technologies(Electricity transmission and distribution) 25%; Other Power and Storage Technologies(Energy storage) 25%; |
|
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Dr J (James ) Marco No email address given School of Engineering Cranfield University |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 January 2015 | |
| End Date | 31 December 2017 | |
| Duration | 36 months | |
| Total Grant Value | £108,557 | |
| Industrial Sectors | Energy; Transport Systems and Vehicles | |
| Region | East of England | |
| Programme | Energy : Energy | |
| Investigators | Principal Investigator | Dr J (James ) Marco , School of Engineering, Cranfield University (100.000%) |
| Web Site | ||
| Objectives | ||
| Abstract | This project builds upon the Ebbs and Flows of Energy Systems feasibility study (31737-230167) and demonstrates thedevelopment, impact and business potential of a Virtual Power Plant (VPP) integrating: building energy management;renewable electricity generation, electric vehicles and battery storage systems. The project will manage the electricity useof a range of sites, from single properties through to large commercial premises. The proposed management system usesalgorithm based predictive control to enable and optimise the active utilisation of multiple electric vehicle and domesticstorage batteries as an energy storage and generation resource. The project will demonstrate VPP functionality,aggregating the disparate energy distributed energy resources to provide wider network ancillary support services, such aspeak shaving. This will reduce variability in electricity demand levels, cost and CO2 emissions, plus improve the UK gridsecurity of supply.The Warwick university contribution will be a new energy system model that quantifies energy storage, performance anddegradation for a vehicle battery system when exercised under real-world driving and charging/discharging conditions(Vehicle-to-Grid: V2G). This model will reinforce the capability of the industrial partners in areas of energy system designand evaluation. A comprehensive understanding of energy storage performance and degradation will also be of great valueto energy providers - it will further support the creation of business models that promote the use of renewable sources ofenergy integrated with local storage.Energy storage is one of the eight great technologies identified by the government to propel the UK to future growth (DavidWilletts MP, Policy Exchange, 2013). The RCUK Review of Energy in 2010 highlights that R&D into energy storage has thepotential to yield high levels of de carbonisation beyond 2030. The TSB (Energy Supply Strategy, 2012) states that battery related R&D within the energy and transport sectors is a UK priority that will benefit from public investment | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 19/01/15 | |
