Energy Storage and Demand
Side Management
David MacLeman – SSEPD
Nathan Coote – SSEPD
Mark Stannard – SSEPD
Matthieu Michel – UKPN
Alistair Steele - SSEPD
What are we really trying to do with Energy Storage?
Balance
generation and
demand locally
and nationally
Manage
energy flow
within a
network
constraints
Keep the lights
on
Energy storage continuum
Domestic
Commercial
Industrial
New entries (cars).......
Small scale thermal Mass
Manufacture process management
District Heating......
Batteries
Flow Batteries
Thermal conversion
Pump storage
Flywheels......
Sabatier process (Methane)
Electrolysis (Hydrogen)
Haber Process (Ammonia)
Inter sector energy exchange...
Trial evaluation of domestic
demand side management
Nathan Coote
Scope

Project overview

Success criteria

Functionality

Outcomes and learning

Conclusions and future work
Project Overview
Dimplex prototype devices installed during the SSET1003 trial
Success Criteria
The 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
120%
80%
Smart load 50% gradient with 50%
load at 50Hz
60%
Smart load 25% gradient with 43%
load at 50Hz
Smart load 200% gradient with 43%
load at 50Hz
40%
20%
0%
49
49.1
49.2
49.3
49.4
49.5
49.6
49.7
49.8
49.9
50
50.1
50.2
50.3
50.4
50.5
50.6
50.7
50.8
50.9
51
Rated Power [%]
100%
Frequency [Hz]
Trial Participant Recruitment
 Six homes identified
 Personal visit to explain project
 £100 ex-gratia payment
Testing
Technology Readiness Level (TRL)
9
8
7
6
}
Proven Technology
}
Demonstration
}
Applied R&D
}
Research
5
4
3
Prototype
System
Validation
Demonstration
(relevant environment)
(operational
environment)
2
1
ESRU
Outcomes and key learning
Development 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 learning
Development 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 learning
Development of a DDSM heating system

New switching strategy

Requirements for a communications solution

Hot water cylinder temperature measurement

Wireless solution
Outcomes and key learning
Other 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.
Honeywell Automated Demand
Response
Mark Stannard
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 event
Site
Average kW shed
Honeywell House
70 kW
Bracknell & Wokingham College
56 kW
Bracknell Forest Council
11 kW
Aggregated load shed event
Honeywell House
75 kW
Aggregated load shed event
Bracknell & Wokingham College
81 kW
Aggregated load shed event
Bracknell Forest Council
11 kW
Customer Engagement Framework
 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
kW Shed
Cost to DNO
Cost 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
Building (company)
Value to a DNO
• Modelling was performed to extrapolate results in more detail.
• Began to understand how
ADR can improve network
observability on the distribution
network
Conclusions/ Next Steps
• 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