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Document NamePREPARED BY: Your Name, Your TitleDATE: 6TH MARCH 2015
Solar Analytics - Rooftop PV energy analytics
and fault diagnosis
Jonathon DoreHead of Data AnalyticsSolar Analytics
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Outline
• About Solar Analytics• Faults and case studies• Research projects
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Outline
• About Solar Analytics• Faults and case studies• Research projects
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Our Purpose
To maximise the value customers
receive from their solar energy system
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Coal is not good for humanity …
Pollutes atmosphere
Degrades land
Expensive
Doctors report that “coal is a health hazard from start to finish”
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… solar energy is the saviour …
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CheaperSimplerCleaner
... distributed solar is already colonising our homes …
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…but there’s a problem
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19% CAGR but industry has focussed on large scale monitoring
Source: GTM research, 2013
80
60
100
20
40
0
% of sites
Utility Commercial Residential
Monitored
Not monitored
Leading monitoring providers by revenue Global monitoring penetration
Company FocusSkytron Energy UtilityInAccess UtilityMeteoControl Utility/CommercialFirstSolar UtilityGreenPowerSolarLog
UtilityUtility/Commercial
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Features Residential Commercial Utility
Production Data
Performance Analysis
Fault Diagnosis
Current residential monitoring products are inadequate
Available with Solar AnalyticsReadily available
Not available
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Solar Analytics is already providing the solution
Works with any hardware …. or even none
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Providing useful information
How to fix your system
When to install batteries
How to save energy
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Providing detailed information
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Distributed via solar retailers
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Current Status: 506 Monitored Sites
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People• Stefan Jarnason, Co-founder and Managing Director
• Valantis Vais, Co-founder and Board Member
• Dr Renate Egan, Co-founder and Commercial Director
• Dr John Laird, Co-founder and Software Development Manager
• Dr Jonathon Dore, Head of Data Strategy & Analytics
+ 10 (software dev, design, sales, service, ops & analysis)
+ Co-op
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History
Envais Solar (Valantis)
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Outline
• About Solar Analytics• Faults and case studies• Research projects
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Breakdown of PV system failure
• 26% systems underperforming
• 12.1% annual fault rate
Solar Analytics Data
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Breakdown of PV system underperformance
Performance lessons from the real world, SunWiz 2012
• Earth leakage
• Soiling
• DC or AC Isolator
• Wiring or connectors
• Intermittent inverter issue
• Microcracks
• Hot spot
• Potential Induced Degradation
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Case Study 1
• 10kW system in Tasmania
• 7.5kW @ 32° NW and 2.5 kW @ 122 ° SW
Intermittent string loss
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Case Study 2
0
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Inverter 1 Inverter 2
Ene
rgy
(kW
h)
Daily Energy
Measured Production
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Case Study 2
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Inverter 1 Inverter 2
Ene
rgy
(kW
h)
Daily Energy
Expected Producction Measured Production
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Case Study 2
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00 A
M
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Pow
er (k
W)
Average Power (1 hour resolution)
Inverter 1Inverter 2
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Case Study 2
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65:
00 A
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Pow
er (k
W)
Average Power (5 min resolution)
Inverter 1Inverter 2
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Case Study 2
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610
:00:
00 A
M
10:1
0:00
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AM
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Volta
ge (V
)
Pow
er (k
W)
Power and Voltage (5 sec ressolution)
Power (kW) Voltage (V)
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Case Study 3
0
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10000
0 4 8 12 16 20 0 4 8 12 16 20 0 4 8 12 16 20 0 4 8 12 16 20
29 29 29 29
9 10 11 12
2014
Pow
er (W
)
Sum of MeasuredSum of ExpectedSum of Shaded
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Case Study 3
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6 7 8 9 10 11 12 13 14 15 16 17 18
Ene
rgy
(Wh)
Hour
Shaded
Hourly Measured
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Case Study 3
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9000
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0 4 8 12 16 20 0 4 8 12 16 20 0 4 8 12 16 20 0 4 8 12 16 20
29 29 29 29
9 10 11 12
2014
Pow
er (W
)
Sum of MeasuredSum of ExpectedSum of Shaded
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Case Study 3
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Outline
• About Solar Analytics• Faults and case studies• Research projects
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Research Projects
• Load disaggregation (Lachlan McDermid, UNSW)
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Research Projects
• PV generation forecasting (Johnathan Lee & Rachel Oh, UNSW)
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Research Projects
• PV generation forecasting (Bibek Joshi, UNSW)• Household consumption forecasting
(Baran Yildiz, UNSW)
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Proposed Project
• Hardware development• Home energy management• Battery monitoring and optimisation
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Future Projects
• ARC Linkage?• Solar Hot Water?• Machine Learning?• Grid Management?
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Our Purpose
To maximise the value customers
receive from their solar energy system