Post on 05-Aug-2020
Oxford case study on storing and sharing solar-generated electricity:
Insights from Project ERIC
Energy Storage Summit, 28 April 2016 Twickenham
Drivers for the project from the local authority’s perspectives and
experience with the project
Debbie Haynes Oxford City Council
Getting started … (in Rose Hill)
• Fear of the new … But • Lots of inspiring and bright people • Strong community input • Area of high % of social housing • Strong joint commitment and drive • Previously had ‘piloted’ 5 solar PV and 2 Maslow installs So … OCC – commitment of 30 solar PV installs and batteries
Oxford City Council: Aims project met
• Reduce energy bill of tenants • Generate long term income • Reduce carbon footprint of the
city • Increase sense of community and
positive environmental interest • Support innovative research
project • Promote community energy
What was/is it?
• 49 Solar PV installs into our social housing (Joju Solar) • 49 battery installs (Maslows) • Some LED lighting (DC powered) • Data monitoring and interviews
What this actually involved
• Desktop PV analysis of 2kWp and SW to SE orientation/ no shading = PV shortlist
• Roof replacement/ tenant interest checks • Property surveys - numerous • Building surveyor managed project for OCC • Tenant liaison officer (part time) supported Bioregional • Regular project meetings coordinated • Considerable input in terms of resources • Sometimes varied from specification (1.25 to 3kWp)
Council resources
Building Surveyor • Project managed all work/surveys • Technical/legislative liaison • Electrical/structural issues and checks Tenant liaison officer • Coordinated surveys • Produced literature with visual aids. Promote benefits and
understanding • On hand to deal with problems/worries
What we learned (site)
• Site survey must quickly follow desktop survey • Access to homes difficult • Number of surveys high and intrusive • Tenants – may not want PV/batteries “our housing project, their home”
• Metering/ broadband problems • Electrical checks vital • Stick to specification • Generally good feedback – even ‘PV envy’
What we learned (broader)
• Additional requirements of Maslow battery • Local area – need to be fair (specification) • Trial means teething problems • Data protection agreements • Call outs/maintenance issues • Tenant liaison vital • Can’t predict everything…
Also …
• PV and Moixa batteries in Rose Hill Community Centre
project ericre-energising communities
Chris WrightCTOMoixa Technologychris@moixaenergy.com
www.moixatechnology.comwww.meetmaslow.com
Moixa Technology Maslowenergy storage system
GridShareTM
VPP cloud platform
Moixa hardware and aggregation platform
The Moixa Technology offering: • The Maslow proprietary hardware, all-in-one energy-storage solution • The GridShare™ SaaS platform that monitors and controls distributed energy
resources in the field, and aggregates them into groups to trade on to the energy market.
Proprietary Maslow hardware
Software GridShare™ aggregation platform
Analysis and control tools
Trading to energy markets
GridShare™ VPP cloud platform
National Grid
dashboards Maslow systems
3rd party systems integration
Bi-directional EV charge Chademo - Nissan
TCPip
analytics
HyperCat energy integration
Project Eric dispatch: Substation monitoring
Testing local grid effects:
28th April test dispatch of a small subset of 20 houses, 1hr dispatch event.
This is visible on the sub-station monitoring installed by SSE PD for the project.
Revenue & payback model The revenue model below illustrates a financed system over 10 years @ 6% for a household with an existing solar PV system.
Example revenue steam: trading
24 Oct 15 Average October day £120/MWh trading range
16 May 15 High wind day, market is long £70/MWh available Payment to take energy
Project evaluation to date
Prof Rajat Gupta & Dr Adorkor Bruce Oxford Brookes University
Evaluation methodology
• Monitoring: – Household electricity consumption – Solar PV electricity generation – Contribution of smart electricity storage
• Conducting dwelling and household surveys • Undertaking energy audits of electrical appliances Data for evaluation obtained from multiple sources
Project evaluation and findings to date
Evaluation elements: • Dwelling and household characteristics • Feedback from household interviews • Household baseline electricity consumption • PV generated electricity • Contribution of smart electricity storage –
household and community level
ERIC dwellings in Rose Hill
• 82 households in Rose Hill – 74 social rented – 8 owner-occupied
• All households have solar PV systems (1.5 – 4kWp)
• 2kWh Maslow battery installed in all households
• 60 out of 82 households interviewed (73% response rate)
Dwelling and household characteristics
• Gas central heating in all dwellings • Energy efficiency rating B to D • Variety of household sizes - 1 to 8 householders • Variety of household types – e.g. families with dependent children, single person over 65 • Variety of occupancy patterns – e.g.
always occupied, evenings and weekends only
• 55% of the households are always occupied
Bungalows
Flats
Older dwellings
New dwellings
Householders energy attitudes and feedback
Energy attitudes
• 75% of ERIC householders are concerned about rising energy prices
• 80% frequently think about their household energy use
• 72% are concerned about climate change
• 60% are concerned about energy supplies
Feedback
• Different stakeholders have different reasons for participation in Project ERIC – owner-occupied householders
are interested in promoting new technology
• Generally good experience with the installation of the Maslow unit
Household baseline electricity use
• Average daily household electricity use range from 2.9kWh to 21.7kWh Median = 6.9kWh, Mean = 7.3kWh
0
2
4
6
8
10
12
14
16
18
20
22
24
H64
H75
H17
H34
H74
H63
H07
H67
H12
H68
H65
H73
H35
H70
H59
H44
H20
H84
H62
H83
H71
H11
H23
H05
H79
H55
H21
H30
H81
H36
H37
H14
H18
H16
H49
H15
H60
H39
H33
H10
H38
H40
H31
H46
H42
H25
H53
H24
H57
H09
H19
H85
H80
H08
Aver
age
daily
hou
seho
ld e
lect
ricity
use
(kW
h)
ERIC Households
Characteristics of electricity use Weak correlation between household size and average daily electricity use (r2 = 0.33)
Weak correlation between number of appliances owned and average daily electricity use (r2 = 0.27)
0
5
10
15
20
25
30
35
40
45
50
0
5
10
15
20
25
H64
H75
H17
H34
H74
H63
H07
H67
H12
H68
H65
H73
H35
H70
H59
H44
H20
H84
H62
H83
H71
H11
H23
H05
H79
H55
H21
H81
H30
H36
H37
H14
H18
H16
H49
H15
H60
H39
H32
H10
H38
H40
H31
H46
H42
H25
H53
H24
H57
H09
H19
H85
H80
H08
Num
ber o
f app
lianc
es o
wne
d
Aver
age
daily
hou
seho
ld e
lect
ricity
use
(kW
h)
ERIC Households
Ave daily electricity use Number of appliances owned
0
1
2
3
4
5
6
7
8
9
10
0
5
10
15
20
25
H64
H75
H17
H34
H74
H63
H07
H67
H12
H68
H65
H73
H35
H70
H59
H44
H20
H84
H62
H83
H71
H11
H23
H05
H79
H55
H21
H81
H30
H36
H37
H14
H18
H16
H49
H15
H60
H39
H32
H10
H38
H40
H31
H46
H42
H25
H53
H24
H57
H09
H19
H85
H80
H08
Num
ber o
f hou
seho
lder
s
Aver
age
daily
hou
seho
ld e
lect
ricity
use
(kW
h)
ERIC Households
Ave daily household electricity use Number of householders
PV generated electricity
• Approximately 91MWh of electricity has been generated since April 2015
0
500
1000
1500
2000
2500
3000
3500
4000
H85
H01
H02
H04
H06
H07
H09
H10
H11
H12
H13
H14
H15
H16
H17
H18
H19
H20
H21
H22
H25
H26
H27
H28
H29
H30
H08
H24
H23
H80
H81
H66
H67
H70
H71
H72
H73
H74
H75
H76
H77
H65
H68
H59
H60
H61
H62
H63
H64
2kWp
2.5kWp 2.753.25 3.5 3.8 4 1.5kWp 2kWp 3kWp
2.5kWp
Generation in 1 year Generation in 7 months
PV g
ener
ated
ele
ctric
ity (k
Wh)
Generation in 1 year: Apr-15 - Mar-16 Generation in 7 months: Sep-15 - Mar-16
Contribution of smart electricity storage – household level
0
20
40
60
80
100
0
0.2
0.4
0.6
0.8
1
1.2
00 02 04 06 08 10 12 14 16 18 20 22
Elec
tric
cha
rge
in M
aslo
w (A
h)
Elec
tric
ity co
nsum
ptio
n an
d ge
nera
tion
(kW
h)
Hour of day
Household consumption (with Maslow) PV generation
Household consumption (without Maslow) Charge in Maslow
1) Electric charge in the Maslow starts to increase when PV electricity generation is greater than household consumption
2) Power from the Maslow is discharged when PV electricity generation is less than household consumption
3) Saving from use of stored electricity (reduced grid electricity demand)
Contribution of smart electricity storage – community level (n=40)
Aggregated electricity consumption and generation (March 2016)
Total consumption 9,831 kWh
Total PV generation 5,219 kWh
Total energy from Maslow 656 kWh
Total PV electricity consumed (assuming 50% used + storage)
3,266 kWh
% increase in PV electricity consumption 12.6%
% reduction in peak grid demand 11.2%
0
500
1000
1500
2000
2500
3000
3500
4000
0
5
10
15
20
25
30
35
40
00 02 04 06 08 10 12 14 16 18 20 22El
ectr
ic c
harg
e in
Mas
low
(Ah)
Elec
tric
ity co
nsum
ptio
n an
d ge
nera
tion
(kW
h)
Hour of day
Total electricity consumption (with Maslow) Total PV electricity generationTotal electricity consumption (without Maslow) Total charge in Maslow
Key findings
• There is a good range of households participating in Project ERIC – e.g. tenure, household size and occupancy patterns.
• Multiple sources of data have been useful to ensure reliability and accuracy of monitored data.
• There is currently limited householder understanding of the installed systems, particularly of the battery units, in the social-rented households.
• Relevant feedback on the performance of the technologies will help householders in optimising their behaviours in order to maximise the energy savings.
Oxford Brookes University | Low Carbon Buildings Group Prof Rajat Gupta | rgupta@brookes.ac.uk
Oxford City Council |Debbie Haynes (Energy Efficiency Projects Officer)
dhaynes@oxford.gov.uk | 01865 252566
Moixa Technology Ltd |Chris Wright (CTO) chris@moixaenergy.com
www.moixatechnology.com | www.meetmaslow.com
Thank you!