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Reference Number NIA_UKPN0008
Title Business Models Enhancement (BME)
Status Completed
Energy Categories OTHER POWER and STORAGE TECHNOLOGIES(Electricity transmission and distribution) 50%;
OTHER CROSS-CUTTING TECHNOLOGIES or RESEARCH(Energy system analysis) 50%;
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
UK Power Networks
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 August 2015
End Date 01 April 2016
Duration 8 months
Total Grant Value £208,340
Industrial Sectors Power
Region London
Programme Network Innovation Allowance
 
Investigators Principal Investigator Project Contact , UK Power Networks (100.000%)
Web Site http://www.smarternetworks.org/project/NIA_UKPN0008
Objectives The objective of the project is an update of the following Models and Tools:; Load Forecast (Element Energy) model; Transform model; WinDEBUT; Load Related Expenditure model The following criteria will be considered when assessing whether the project has been successful:- Transfer of all relevant best learning from LCL to UK Power Networks business models and tools identified above- Update of the WinDebut model which is available to all DNOs- Delivery of a new version of the LRE model with a user interface- Transfer of the updated LRE model to UK Power Networks
Abstract In 2013 UK Power Networks assigned Imperial College London (ICL) to create a model which would help us understand the relation between load growth and investment in our networks. This model informed our business plan submission providing guidance on LV reinforcement requirements based on our load growth forecast. Since then the Low Carbon London (LCL) project has concluded and contributed vital new learning by monitoring domestic customers, electric vehicle (EV) users and charge points, heat pumps and photovoltaic (PV) installations. Accordingly we now have robust profiles and data to inform our business models and reflect the real impact of Low Carbon Technology (LCT) uptake. This project will focus on updating our business planning models to incorporate findings from the LCL project as well as updated forecasts of LCT uptake. Specifically the project will update the Element Energy forecast model and the Transform model. Additionally ICL will update the Load Related Expenditure model and create a user friendly interface for a sustainable transition to UK Power Networks. This project will involve 4 phases of deliverables. Phase 1 - Scope Definition This phase of the project seeks to clarify the requirements of the stakeholders that utilise the models and tools identified for update. It will primarily involve aligning the application of the new datasets and learning to stakeholder expectations. Phase 2 - Model updates This phase of the project will focus on implementing the agreed changes to the models. Phase 2a: Load Forecast (Element Energy) Model update - LCL learnings The LCL project produced many datasets and learnings which UK Power Networks will incorporate, where possible into its load forecasting activities. As part of the LCL project, an updated version of the Element Energy Load Growth Model (EELG) will be produced which incorporates domestic load profiles for various household types (based on the LCL smart meter data from 5,600 domestic customers), an updated approach to energy efficiency for each of these household types and load profiles for EVs and heat pumps based on LCL trial data. Phase 2b: Understand the impact of the same LCL findings on the Transform model This will include the tasks that EA Technology (EATL) will perform through Transform Model runs and relevant analyses in order to demonstrate the differences in results from the current standard Transform Model and a version of the model update with the findings from the LCL project. Phase 2c: WinDEBUT update Implementing changes to be outlined by UK Power Networks to the WinDebut model. Phase 3 - LRE Development This phase of the project will focus only on the LRE model and will be divided into four sections: Phase 3a: Enhancing the LRE model capability The LRE model will be enhanced to include multi-period load conditions. In addition, the LV load diversity modelling capability will be enhanced in line with the LCL findings. Finally a Peak Minimisation Model (PMM) will be developed to enable demand side response modelling capability that will interact with the LRE tool for different uptake scenarios of LCT, energy efficiency measures and load growth. Phase 3b: Development of user-friendly interface The key objective of this work package is to develop user-friendly interfaces for the LRE tool, including updates of input and output data format. Phase 4 - Transfer Models to BAU This final phase of the project will involve a review of the project deliverables by the stakeholders of the project in order to confirm the successful deliverable criteria of the project have been achieved. It will include UAT tests and delivery of the access to the updated models, hosted on internal servers.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above
Publications (none)
Final Report (none)
Added to Database 09/08/18