Projects
Projects: Projects for Investigator |
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| Reference Number | SSET1004 | |
| Title | Demonstrating the Functionality of Automated Demand Response | |
| 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) 80%; ENGINEERING AND TECHNOLOGY (Architecture and the Built Environment) 20%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 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 June 2011 | |
| End Date | 01 August 2012 | |
| Duration | ENA months | |
| Total Grant Value | £260,000 | |
| Industrial Sectors | Power | |
| Region | Scotland | |
| Programme | ||
| Investigators | Principal Investigator | Project Contact , Scottish and Southern Energy plc (100.000%) |
| Web Site | https://smarter.energynetworks.org/projects/SSET1004 |
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| Objectives | This small scale project aims to demonstrate that the ADR technology proposed can shed peak loads in the proposed buildings. SEPD will run a pilot project of Honeywells ADR solution to answer the following questions: Can the proposed ADR solution produce an aggregated figure of despatchable demand? Can it reduce/shift peak loads in facilities and therefore the network? What data can be collated and what value is it to a DNO and how will it be securely stored? This project will demonstrate the feasibility of this solution and will provide valuable learning for all DNOs in GB. The learning from this trial may also feed into SEPDs New Thames Valley Vision Tier 2 LCNF submission. | |
| Abstract | Honeywell Building Solutions Automated Demand Response (ADR) technology is in use in the USA and Asia to reduce load on the network at time of peak demand. This project will trial the above solution on a GB High Voltage/Low Voltage (HV/LV) network to ascertain whether it can effectively help manage the constraints network operators are likely to find as they move into a low carbon economy. However, before a DNO can use such technologies to manage the network, it is important to ensure that the communication and automated aggregation of the load shedding systems proposed have the functionality to produce the desired load reductions. The electricity network in Bracknell and the wider Thames Valley area is typical of many urban and suburban areas in the GB: it serves a diverse mix of industrial, commercial and small business development. As the area has developed, its electrical demand has increased and the demand profile has changed. Looking ahead, we expect that there will be increased demand associated with further economic development, along with demand rises linked to the anticipated increased penetration of Electric Vehicles, solar arrays and heat pumps. Bracknells primary transformers are already operating at close to capacity, which means they will not be able to accommodate further significant increases in electricity demand without being substantially upgraded. Furthermore, unless effectively managed, the anticipated changes in demand levels and load profiles will trigger network problems including voltage and thermal constraints. In order that Bracknell can continue to reliably supply electricity to its customers, there is a need for a solution which safely, quickly and sustainably optimises the use of the available capacity on the network. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 15/12/22 | |
