Projects
Projects: Projects for Investigator |
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| Reference Number | NIA2_NGESO001 | |
| Title | CrowdFlex | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given National Grid ESO |
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| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 April 2021 | |
| End Date | 31 March 2022 | |
| Duration | ENA months | |
| Total Grant Value | £460,000 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid ESO (99.999%) |
| Other Investigator | Project Contact , Scottish Hydro Electric Power Distribution plc (SHEPD) (0.001%) |
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| Industrial Collaborator | Project Contact , Scottish and Southern Energy plc (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA2_NGESO001 |
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| Objectives | This desk-based study will survey Octopus and Ohmes entire GB customer bases and will use an area within one of Scottish and Southern Electricity Networks (SSEN) licence area as a case study. The study will largely rely on Octopus Energys and Ohmes datasets and analysis to determine how much flexibility can be provided from households and other characteristics of this flexibility such as reliability, speed and cost of provision. The project partners will i) identify the primary parameters that govern flexible response – which may include technology type, demographic information, signal type, or flexibility characteristics – and use these to create cohorts with similar profiles of response (this process referred to elsewhere as the “segmentation methodology”); ii) provide flexibility statistics for cohorts and across whole dataset; iii) design and recommend practical trials to demonstrate flexibility provision and test key assumptions identified.Risk AssessmentIn line with the ENAs ENIP document, the risk rating is scored Low.TRL Steps = 1 (2 TRL steps)Cost = 1 (£460k)Suppliers = 1 (2 suppliers)Data Assumption = 1 (data supplied by suppliers for analysis) While there is limited understanding concerning consumer behaviour, potential size and reliability of flexible response, the project partners believe there is a sizeable amount of flexibility within domestic consumers that is growing exponentially with the rapid growth of EVs. Additional technologies, especially heat pumps and residential batteries, also have inherent flexibility properties, however, these are further away from mass market.The project will leverage project partners unique datasets and analysis, based on their customers participation in dynamic tariffs and use of electric vehicle charging, to provide:A quantification of the energy flexibility potential from households (i.e. looking beyond early adopters/sophisticated energy users alone to assess flexibility potential from mass market customers)The development of a segmentation methodology for identifying key parameters of domestic flexibility and separating households into discrete cohorts based on thisAn understanding of the cost of incentivising flexibility, allowing comparison against existing contracts The project will extract and analyse Octopus Energys and Ohmes data analytic models to provide a statistical analysis of domestic consumption and behaviour in response to dynamic tariffs. Focusing on mainstream low carbon technologies (electric vehicles, electric storage heaters, solar PV), customers will be segmented into cohorts, to study what inherent flexibility exists among them. Particular emphasis and granularity will be given to electric vehicle customer cohorts given the rapidly increasing deployment of this technology and the impact which it may impose on the network. Depth, speed and cost of response will be assessed across segments.This project also includes the design of a next-phase trial. The project will provide recommendations for a follow on trial project which would seek to quantify and validate the results of the modelling exercise. Understand characteristics of flexibility provision from households in different scenarios and different technology typesIdentify distinct segments of household flexibility for use in ESO/DNO/DSO operationsRecommend key assumptions in the analysis to test in trials | |
| Abstract | This project will explore the opportunities for households providing a reliable support to the network through aggregated energy flexibility, and develop a baseline methodology with recommendations for adoption . | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 19/10/22 | |
