Scope and Objectives
Please describe the scope and objectives of the Project should be clearly defined including the benefits which should directly
accrue to the Distribution System.
Success Criteria
Please give details of how the DNO will evaluate whether the Project has been successful.
Method(s)
This section should set out the Method or Methods that will be trialled in order to solve the Problem. The type of Method
should be identified where possible e.g. technical or commercial.
Problem(s) continued
‹2›
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.
1) 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 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.
2) 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
comms) 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 BMS Systems. An enhanced centralised
management system will be provided through 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.
Key outcome will be the: 1) Development of a City centre network model where cost and impact
of smart grid interventions can be assesed. Physical DSR interventions will complement the
modelling by: 2) Gaining experience in the application of DSR measures to City Centre building
stock; 3) Achieving measurable results to peak load reduction; 4) Understanding and quantifying
the role DSR could play in cost-benefit analysis of future reinforcement; 5) Understanding the
resource DSR may represent in terms of ancillary services to the network; 6) 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 1) Understanding of the cost advantages that DSR as a smart grid intervention may
bring against traditional reinforcement in the context of City centres 2) 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 3) 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.
