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Projects: Projects for Investigator
Reference Number NIA_SPEN0001
Title Smart Building Potential Within Heavily Utilised Networks (Re-registered LCNF T1 Project)
Status Completed
Energy Categories Other Power and Storage Technologies(Electricity transmission and distribution) 100%;
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
SP Energy Networks
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 April 2015
End Date 01 October 2016
Duration 18 months
Total Grant Value £621,000
Industrial Sectors Power
Region Scotland
Programme Network Innovation Allowance
 
Investigators Principal Investigator Project Contact , SP Energy Networks (100.000%)
Web Site http://www.smarternetworks.org/project/NIA_SPEN0001
Objectives Key outcomes will be: Development of a city centre network model where cost and impact of smart grid interventions can be assessed. Physical DSR interventions will complement the modelling by; Gaining experience in the application of DSR measures to city centre building stock; Achieving measurable results to peak load reduction; Understanding and quantifying the role DSR could play in cost-benefit analysis of future reinforcement; Understanding the resource DSR may represent in terms of ancillary services to the network; Integrating the use and monitoring of DSR into our systems. The net result for customers will be a potential increase in low carbon technologies that can be deployed on the network, without the need for future costly and potentially disruptive grid infrastructure reinforcements. Creation of a ‘LCT Energy Scenario Model’, DSR intervention data and project reports that contributes to: Understanding of the cost advantages that DSR as a smart grid intervention may bring against traditional reinforcement in the context of City centres; Understanding of the real levels of peak load reduction available from office buildings and establishment at city scale of the potential these interventions can provide; Understanding of the expected vs. actual response and reliability of DSR response and the impact of load reductions on potential network constraints and assessment of deferment value of DSR.
Abstract 14.00 Networks within City centres are the most economically important to the country, the most heavily utilised and the most expensive to reinforce. To this extent these networks will be at the forefront of issues arising from the much anticipated low carbon technology loads and increased penetration of Distributed Generation (DG). There is an expectation that Distribution Network Operators (DNOs) need to deliver the solutions to these problems not just through traditional means, but through the integration with existing building management systems to help create minimum-cost low carbon energy systems. Glasgow is Scotland’s largest City and is undergoing dramatic change towards sustainable regeneration driven by Glasgow City Council (GCC). With around 1. 5 million square metres of office space in the city centre, managing the peak load demand of this space could have major cost benefits to a DNO through provision of ancillary services to the grid and the potential deferment of costly city centre grid infrastructure upgrades. The UK and Europe are moving towards a common standard (EN15232) for energy performance classification in buildings; this standard considers both energy efficiency and dynamic load management (i.e. demand side response). The challenge is to explore the benefits to DNOs, through the projected widespread adoption of the EN15232 standard within buildings, and understand how the DNO can proactively engage with public and private building stock in Cities, to leverage benefit for all of the City stakeholders. Future low carbon energy systems modelling - Technical/Commercial Building on existing scenario and cost models (such as the WS3 Smart Grid Forum model) we will investigate specific requirements for future low carbon city centre networks. Utilising real network and stakeholder energy data, the benefits from Demand Side Response (DSR) will be modelled and the cost of each scenario estimated. This will result in a robust network model of a city centre environment where the cost and network impact of smart grid interventions such as DSR can be assessed against traditional reinforcement within a range of future low carbon scenarios. DSR Intervention - Technical/Commercial In partnership with GCC, a range of DSR compliant buildings will be assessed for DSR energy management potential. These will be audited to EN15232 to provide a baseline for load reduction measures. Energy control devices (with communications) will be installed to trigger pre-arranged load shedding when requested by the DNO. The audit will identify which loads can be controlled and which are suitable for peak load shedding. Shedding of load at peak periods will be investigated, amongst others, for reduced network loading at times of emergency N-1 requirement. Industry standard protocols will be used to connect the energy management module to the existing Building Management System (BMS). An enhanced centralised management system will be provided through Technical Strategy Board (TSB) project funding to manage the DSR Signal and record the load reduction achieved and this data will be utilised for analysis and reporting by SPEN and GCC within the LCNF and TSB project.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 14/12/18