David MacLeman – SSEPD Nathan Coote – SSEPD Mark Stannard – SSEPD Matthieu Michel – UKPN Alistair Steele - SSEPD Energy Storage and Demand Side Management.

David MacLeman – SSEPD

Nathan Coote – SSEPD

Mark Stannard – SSEPD

Matthieu Michel – UKPN

Alistair Steele - SSEPD

Energy Storage and Demand Side Management

What are we really trying to do with Energy Storage?

Energy storage continuum

Demand Side Response

Fuel Manufacture

Sabatier process (Methane)Electrolysis (Hydrogen)Haber Process (Ammonia)Inter sector energy exchange...

Bi-directional storage

BatteriesFlow BatteriesThermal conversionPump storageFlywheels......

Enhanced Demand side Management

Small scale thermal MassManufacture process managementDistrict Heating......

DomesticCommercialIndustrialNew entries (cars).......

Nathan Coote

Trial evaluation of domestic demand side management

Scope

Project overview

Success criteria

Functionality

Outcomes and learning

Conclusions and future work

Project Overview

Dimplex prototype devices installed during the SSET1003 trial

Success CriteriaThe project success criteria will be to prove the

integration of the technologies and provide knowledge

and lessons learned for the NINES project and other

DNO projects.

Functionality

Frequency response of Smart Loads

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120%

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Frequency [Hz]

Rate

d Po

wer

[%]

Smart load 50% gradient with 50%load at 50Hz

Smart load 25% gradient with 43%load at 50Hz

Smart load 200% gradient with 43%load at 50Hz

Trial Participant Recruitment

Six homes identified

Personal visit to explain project

£100 ex-gratia payment

Prototype Demonstration

(relevant environment)

System Validation

(operational environment)

Testing9

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5

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2

1

Proven Technology

Demonstration

Applied R&D

Research

Technology Readiness Level (TRL)

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ESRU

Outcomes and key learningDevelopment of a DDSM heating system

Hot Water Cylinder

Main Design Features:

Class leading insulation

Three core elements providing variable power input

Increased storage capacity

Energy Storage Capacity:

Maximum Storage Capacity (10-80 oC)

175 l 14.0 kWh

215 l 17.1 kWh

Outcomes and key learningDevelopment of a DDSM heating system

Storage Heaters

Main Design Features:

Highly insulated storage core

Three core elements providing variable power input

Electronic controller

Energy Storage Capacity:

Maximum Storage Capacity

P100 12.1 kWh

P125 14.9 kWh

Outcomes and key learningDevelopment of a DDSM heating system

New switching strategy

Requirements for a communications solution

Hot water cylinder temperature measurement

Wireless solution

Outcomes and key learningOther learning outcomes

Resource requirements

Understanding of customer perceptions

Skills development and safe working procedures

Input to further academic work on modelling household energy use to forecast customer demand

Conclusions and future work

The trial has demonstrated the functionality of a DDSM system and

provided an initial indication of the network and customer benefits.

The next step required for progression towards Business As Usual (BAU)

deployment is to trial dynamic scheduling and control.

A large-scale roll out to 750 homes in Shetland through SHEPD’s NINES

project will enable this.

Allow SHEPD to determine the value of DDSM to DNO’s.

Mark Stannard

Honeywell Automated Demand Response

Overview

• Pilot demonstration of Honeywell's Automated Demand Response (ADR)

solution

– Enable DNO to reduce non-domestic demand at strategic points on the network

– Load shed triggered via signal to existing building management systems

• Benefits

– Match electrical distribution needs to changing customer demand profiles

– Provide visibility of customer usage

– Re-engage with customers to enhance future planning

Trialling method

• Deployed at 3 customer sites:

– Bracknell & Wokingham College

– Bracknell Forest Council

– Honeywell House

• Sites: >200kW use, DR programming change to BMS, individual load

shed event participation or opt out

• Test capability of ADR to:

– Produce an aggregated figure of despatchable demand

– Reduce/shift peak loads

Trial load shed event – single site

Aggregated load shed eventSite Average kW shed

Honeywell House 70 kW

Bracknell & Wokingham College 56 kW

Bracknell Forest Council 11 kW

Aggregated load shed eventHoneywell House 75 kW

Aggregated load shed eventBracknell & Wokingham College 81 kW

Aggregated load shed eventBracknell Forest Council 11 kW

Using the information regarding the steps and time taken to acquire

customers we have calculated the cost it took to get to sign up

stage

Although a limited sample, it provides a valid indicative cost to a

DNO associated with recruitment for this type and scale of trial.

Customer Engagement Framework

Customer Engagement FrameworkBuilding (company)

kW Shed Cost to DNOCost per MW load

shed (£k)

Bracknell & Wokingham College 56 798 14.250

Bracknell Forest Council 11 436 39.636

Honeywell 70 206 2.943

  Overall 137 1440 10.511

• Modelling was performed to extrapolate results in more detail.

• Began to understand how

ADR can improve network

observability on the distribution

network

Value to a DNO

• Capable of shedding load in commercial properties by

communicating with the existing BMS

• Load shed can be triggered simultaneously to perform an

aggregated load shed

• maximum aggregated load shed of 137kW

• Streamlined Customer Engagement is Key

Conclusions/ Next Steps