Apr 2015
Electricity Distribution
Smart Building Potential Within Heavily Utilised Networks (Re-registered LCNF T1 Project)
NIA_SPEN0001
Complete
Apr 2015
Oct 2016
SP Energy Networks
Watson Peat & Geoff Murphy
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Network Innovation Allowance
None
£621,000.00

1a) Model the load on each secondary substation in postcode areas G1 and G2 and quantify the demand contribution made by each commercial building. (Commenced under LCNF Tier 1)

1b) Explore how the introduction of DSR in these buildings could potentially reduce loads during ‘overload’ periods.

2a) Survey candidate buildings for DSR trial suitability and install DSR equipment including communications in up to 10 buildings. (Complete under LCNF Tier 1)

2b) Carry out a number of trial DSR interventions at varying times of day over the course of a year and analyze results to evaluate capability of the buildings to provide DSR in real world conditions.

Key outcomes will be:

  1. 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;
     
  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.