Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_WPD_040 | |
| Title | Multi Asset Demand Execution (MADE) | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy system analysis) 70%; Other Power and Storage Technologies 30%; |
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| 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 Western Power Distribution |
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| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 March 2019 | |
| End Date | 01 December 2020 | |
| Duration | ENA months | |
| Total Grant Value | £1,655,046 | |
| Industrial Sectors | Power | |
| Region | South West | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Western Power Distribution (100.000%) |
| Industrial Collaborator | Project Contact , Western Power Distribution (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA_WPD_040 |
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| Objectives | The research objective is to better understand the feasibility of managing and aggregating multiple energy assets (EV, hybrid heating system and solar PV) affordably through the use of advanced algorithms to unlock value from energy markets. Through customer research we will also evaluate consumer trust in new technology that is taking greater levels of EV charging, heating system control, and design appropriate user interfaces and information systems to help drive adoption.Based on the lessons learned from previous NIA trials (FREEDOM, Electric Nation and SoLa Bristol), MADE will carry out micro-economic and system-level analysis to extrapolate previous trial findings in order to: Build a microeconomic model for domestic multi-asset, multi-vector flexibility for GB today, this will: Identify the most attractive customer types; Identify the high potential service stacks; Quantify the value (£); Include a particular focus on DSO services. Understand how the combined operation of residential solar PV generation, heat pump systems and smart EV charging may provide benefits to the consumer; Assess the whole-energy system benefits (including network infrastructure) and carbon benefits of large- scale deployment of the MADE concept; Consider conflicts and synergies between local community and national level objectives, in the context of the flexibility enabled by the MADE concept. Estimate consumer benefits of the MADE concept and inform the design of the market framework that would enable consumer to access the revenues that reflect the benefits delivered. A 5 home technology trial in South Wales will be used to validate the modelled learning. The proposed project runs for 19 months and has been broken down into 6 work packages.Work Package 1: Project ManagementPassivSystems will complete the project management for the duration of the project to deliver the system design, development and technical feasibility installation. The PM will use PassivSystems project management processes and will oversee the flow of development work through PassivSystems agile Kanban processes.Work Package 2: Problem definition, approach and trial designThe projects deliver the consolidation of existing information across partners, development of the customer, DSO, local network and national network proposition, a documented set of use cases, establishing data protection and data management protocols.Work Package 3: Modelling: Consumer, Micro-Economic, Local and National GB NetworkPassivSystems will produce a high level control strategy, simulate the MADE concept (desktop exercise) and collaborate with Imperial College and Everoze to model the local network, national network and the microeconomics. All partners will apply advanced big-data techniques to analyse and quantify the success of different approaches, considering demographic parameters, consumer flexibility, different loading conditions, different generation periods, time of application of different prices etc. The system-wide benefits of a large-scalerollout of the MADE concept, considering both local and national level infrastructure will be assessed. This will be enabled by advanced modelling approaches developed by Imperial College, that identify system solutions that deliver secure and cost-efficient energy supply while respecting national decarbonisation targets.Work Package 4: ASHP/EV/PV Control & Aggregation SolutionPassivSystems will design and develop its smart control to enable optimisation (by cost or carbon) of the EV charge point, the electric heating asset and the rooftop PV generation. The will include the PassivEnergy platform that aggregates demand across households and enables the demand flexibility to be traded with energy markets including the DSO. PassivSystems will develop its existing aggregation platform to ensure each vehicle has enoughcharge for the next trip (based on consumer preferences) before calculating how much remaining capacity to sell to grid and/or support domestic heating (via heat pump, hybrid heating system, or hot water tank immersion). The controls will also manage the heat and transport assets and maximise the self-consumption of rooftop solar PV through a coordinated control strategy.Work Package 5: Technology Feasibility Trial (maximum of 5 homes)PassivSystems will deliver a 5-home technology trial; the field trial will test the technology deliverables and gather data on consumer EV charge and energy system outcomes.Work Package 6: Technology, Customer and Network Analysis – DisseminationThe project partners will deliver an interim and final report on consumer, energy system and business modeloutcomes. PassivSystems will be responsible for sharing the findings of MADE publically during and after the project is complete. The Project Objectives are: Use the ability of managing multiple energy assets (EVs, hybrid heating systems and solar PV) to switch between gas and electric load to provide fuel arbitrage and highly flexible demand response services. Demonstrate the potential consumer, network, carbon and energy system benefits of large-scale deployment of in-home multi-energy assets with an aggregated demand response control system. Gain insights into the means of balancing the interests of the consumer, supplier, and network operators when seeking to derive value from the demand flexibility. | |
| Abstract | The project investigates the impacts of multiple LCTs deployed within a domestic property and the value ofcoordination. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 02/11/22 | |
