Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_SSEN_0041 | |
| Title | MERLIN (Modelling the Economic Reactions Linking Individual Networks) | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy Models) 20%; Other Cross-Cutting Technologies or Research(Energy system analysis) 25%; Other Power and Storage Technologies(Electricity transmission and distribution) 20%; Other Cross-Cutting Technologies or Research(Other Supporting Data) 15%; Other Cross-Cutting Technologies or Research(Energy Economics) 20%; |
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| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | SOCIAL SCIENCES (Town and Country Planning) 20%; PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 30%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 50%; |
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| UKERC Cross Cutting Characterisation | Systems Analysis related to energy R&D (Energy modelling) 100% | |
| Principal Investigator |
Project Contact No email address given Scottish and Southern Energy plc |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 October 2019 | |
| End Date | 01 October 2021 | |
| Duration | ENA months | |
| Total Grant Value | £338,600 | |
| Industrial Sectors | Power | |
| Region | Scotland | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Scottish and Southern Energy plc (100.000%) |
| Industrial Collaborator | Project Contact , Scottish and Southern Energy plc (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA_SSEN_0041 |
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| Objectives | MERLIN is split into 4 key phasesPhase 1 DefineTasks in this phase include: Understanding the use of smart platforms such as the Opus One Grid OS tool that will be used in this project Uploading SSEN network data into partners smart platform tools Understanding the influence of policies/regulation on smart platform performance Creating a tool to value the effectiveness of DER Defining investment scenarios to be utilised in future phasesPhase 2 ModelTasks in this phase include: Building load/generation forecasts for the model Defining market rules to be used in the model Define data requirements Customise the Grid OS IDP tool based on previous research findings Model distribution planning scenarios within the Grid OS IDP toolPhase 3 ImplementTasks in this phase include: Performing a trial model run utilising Fort William data Create a cost benefit analysis (CBA) to evaluate findings Define power systems economics requirements based on findingsPhase 4 OperateTasks in this phase include: Performing a model run utilising Oxfordshire data and involving live participants i.e. DER players Create a CBA to evaluate findings Report on findingsThere will be ongoing dissemination of findings during key milestones through the Open Networks Group and at industry events. MERLIN is focused on two geographical areas, Fort William, which represents a rural network and Oxfordshire, which represents an urban network. The project is limited to understanding power systems economics and the influence it has under various scenarios. It will do this by implementing a smart platform tool that is currently used in North America.The project is not focusing on forecasting or any other DSO functions. It will link closely with the LEO and transition projects and other DSO projects if outputs are available during the life-time of this project. This project has three high level objectives:1. Understand how System Planners can utilise the Grid OS system in order to make more effective investment decisions in a future DSO world from an economic perspective.2. Understand what information needs to be provided to DER players in order to make more effective investment decisions in a future DSO world from an economic perspective. Understand what information needs to be provided to control engineers in order to make more effective operational decisions in a future DSO world from an economic perspective. | |
| Abstract | The traditional approach to decision making on network reinforcements is done on an individual circuit by circuit basis i.e. System Planners will review the supply and demand characteristics of a circuit to determine if reinforcement is necessary based on future demand growth expectations. At this point it may be possible to reinforce via a traditional method e.g. install new overhead lines or possibly utilise a smart solution such as demand side response (DSR). | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 14/12/22 | |
