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Projects


Projects: Projects for Investigator
Reference Number NIA_UKPN0076
Title Neighbourhood Green
Status Completed
Energy Categories Other Power and Storage Technologies(Electricity transmission and distribution) 80%;
Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 20%;
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
UKPN London Power Networks plc
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 February 2022
End Date 29 February 2024
Duration ENA months
Total Grant Value £818,000
Industrial Sectors Power
Region London
Programme Network Innovation Allowance
 
Investigators Principal Investigator Project Contact , UKPN London Power Networks plc (99.998%)
  Other Investigator Project Contact , Eastern Power Networks plc (0.001%)
Project Contact , South Eastern Power Networks plc (0.001%)
Project Contact , UKPN London Power Networks plc (99.998%)
  Industrial Collaborator Project Contact , UK Power Networks (0.000%)
Web Site https://smarter.energynetworks.org/projects/NIA_UKPN0076
Objectives This project will leverage the Whole Energy Systems Accelerator (WESA) which is a collaboration between the Energy Systems Catapult (ESC) and the Power Networks Demonstration Centre (PNDC). It will virtually cluster the Living Lab participants homes with electric heating and other LCTs across the UK and monitor their energy usage over time and in different weather conditions. The clustered data streams will be analysed to assess ADMD, network response and flexibility potential through extensive modelling and trials. The methods used in the project will include desktop analysis to gather data/insight from Living Lab homes and other large-scale trials for different electric heating technologies, including heat pumps, energy storage and other low carbon technologies. From this, an assessment of likely ADMD resulting from the combination of an increased uptake of electric heating technologies and other LCTs will be performed. The project will then design and carry out a trial based on Living Lab homes. Methods used will be qualitative research with customers including diary study and interviews to understand their requirements and experience of the transition journey to LCTs. Network testing will then be carried out at the PNDC to recreate profiles experienced in the Living Lab on agreed network topologies. Analysis will be performed to assess the impact of clustered consumer response. Using known network data, an ADMD assessment based on the existing uptake of LCTs at UK Power Networks will also be carried out. Network studies will be done to quantify the impact across each voltage level. A comparison will be made from the Living Lab/PNDC trial and desktop network assessment.  Work Package 1: ADMD Desktop AnalysisGather data/insight from Living Lab homes and other large-scale trials for heat pumps, other electric heating, energy storage and other low carbon technologies.For a small number of uptake scenarios, produce an assessment of likely ADMD resulting from increased uptake of heat pumps and other electric heating. This will consider 1 in 20 winter peak and low demand events that could lead to negative pricing. Work Package 2: Trial Specification Determine combinations of in-home LCTs for the trial. This will be based on an assessment of those that are most likely to be taken up by consumers (primary driver) and technologies that have good potential to offer operational flexibility to networks (secondary driver)Develop and agree exemplar network topologies to be used in the project.Identification and pre-sign up of customers in the Living Lab for participation in the trial.Detailed specification of trial. Work Package 3: Living Lab Trial, PNDC Trial & Customer EngagementOnboard trial participants across technology combinations.Participants will use the LCTs as they would normally. The project will conduct research including diary study and interviews to understand the use patterns in the home.Test value propositions with participants via interviews based on the qualitative research and the analysis of the PNDC simulation outputs.Network testing at PNDC: Recreate profiles experienced in the Living Lab on different network topologies.Assess impact of clustered consumer response. Work Package 4: UK Power Networks ADMD StudyUsing known network data, validate ADMDs for a number of normal home types. This would look at existing loads and number of customers to identify ADMD levels that currently exist on the network.Carry out analysisof the impact of diversity across all voltage levelsCompare this study to the learnings from Work Package 3 Work Package 5: Insights and Next Steps Final reporting and analysis of trial, including assessment of ADMD and the impact of flexibility and LCT clusteringSummarise the likely impact on exemplar electricity networks of increased LCT loading within homes, the network value of flexible demand and the price signals needed to influence consumer response.Propose an industry standard view on diversity factors for heat based on project learnings.Identify next steps towards the practical implementation of the project findings, including proposals for further trials if required. The objective of the project is to understand the impact of LCT clusters (electric heating technologies and others) on different network topologies (rural, urban), and provide insight to the potential DNO/DSO response to manage these loads in the most cost-effective and inclusive manner. A key output of the project will be a proposal for an industry standard view on diversity factors for heat based on the project learnings.
Abstract New technologies connecting to electricity networks in the delivery of Net Zero will lead to increased domestic demand and a change in diversity factors as well as load profiles. There is a need to understand what normal domestic loads and After Diversity Maximum Demand (ADMD) will be in the future, and the impacts that these are likely to have on network operational performance, so that networks can be planned and managed appropriately. This must be done in a timely manner for optimum efficiency. This project aims to develop understanding of the clustering effect of all low carbon technologies (LCTs), propose an industry standard view on diversity factors for heat, and understand the potential of flexibility.
Publications (none)
Final Report (none)
Added to Database 14/10/22