Post on 17-Nov-2021
transcript
www.solar-log.com1
„Big data meets big brother“
Or in a different sentence:
„Expectations from modern solar monitoring
systems
www.solar-log.com2
A few words about
Solar-LogTM
Solare Datensysteme GmbH – The company behind
the brand Solar-LogTM
www.solar-log.com3
Installed in >130countries worldwide
>300,000plants worldwide
>14 GWp
installed power
Our experience in PV monitoringGlobal orientation – High scalability – Strong portfolio
www.solar-log.com4
Motivation
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Motivation – Why PV Monitoring?and why make monitoring solutions more intelligent?
Focus on areas with a high financial impact
Source: Report: Technical Risks in PV Projects; EURAC TUV-RH
from www.solarbankability.eu
Source: Report: PV Investment Technical Risk Management 20/02/2017
from www.solarbankability.eu
CPN = Cost priority number → Economic impact on assets of technical risks during O&M period
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Our Company evolutionWhere we came from………………………………………..Where we are going
3rd partydevices
Localmonitoringservices
Data push services
Monitoring
Plattform
GetD
ata
Push D
ata
Push
Ala
rms
Basic
contr
ol
Basic
data
+ App
Modular and robust
Hardware controller
with interfaces
3rd party device data
local status and point of
failure support
Advanced grid control
Advanced smart Energy
Control
Security
3rd party platforms
3rd party devices
3rd party eco systems
Max. Data depth
Various Data
rates
Remote
Configuration
…….
Seamless user
experience
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Solar-Log™ – Powerful hardware meets flexible softwareToday’s stage
• Reserve capacities for
future applications
• Modular design
• Extensive interfaces
• Extendibility
• Functions across systems
• Works with other
technologies in the future?
• Adapts to user needs
• Adapts to technological
developments
• Protects user data
• Offers optimisation
possibilities
• Secures against financial
losses
• Help you concentrate on the
core business
• Save time and nerves
• Lead to a targeted
solution
• Enable additional services
to be established with the
customer
• You can concentrate on
your core business /
expertise
• You can sell more services
to customers
• You’re not tied to a provider
Powerful hardware
Flexiblesoftware
Support
services
Focus
on your
success!
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The Key question: “How can we help our
customer groups grow their business?”
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First we must understand how our customers make their business
Customer Group
Main challengesand pains
Main value stream in their business
Is the customer already using our product?
How close can we meet the expectations?
Close and constant customer
discussions
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Approx. 1min, 10sec to detect the issue → Many steps needed Approx. 20sec → Saving: 50sec per issue → Less steps
Sample - Result Output from this close work – faster error detection
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Sample - Result Output from this close work – fast access to remote configuration
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Looking forward
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Development of the monitoring systemsLevel of complexity
Core value for the User / Monitoring version
New producedchallenges and issues
Solution approach
Version A:Identify transparency and
deviations
Internal protocol and communication errors
Communication errors with the devices in the field
Transmission errors
Server problems (workload)
Logic errors in the evaluation
Improve product quality / stronger internal protocols
Improve the protocols / more resources for protocol maintenance
Observe and implement a new issue class for information
Spend more money into infrastructure
Improve the algorithm and check with field-experts
Evaluation from Version Xto
Version X1…..n
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Development of monitoring systemsLevel of complexity
Core value for the User / Monitoring version
New producedchallenges and issues
Version X1…..n :Early detection of system
failures and deviations
Manual initial system setup
Manual work steps in the daily doing
Error interpretation is up to the operator and his level of experience
Resource conflicts
No seamless data transfer from planning to operation
Operator built his own AI according his experience and work with the system
Systems are not able to match and interact with different data sources
Operator vs. amount of system errors
Understand theData / graphs
Influence of the weather
Manually set influence
Communication situationWith the devices in the field
www.solar-log.com15
Development of the monitoring systemsLevel of complexity
Core value for the User / Monitoring version
New producedchallenges and issues
Version X1…..n :Early detection of system
failures and deviations
Manual initial system setup
Manual work steps in the daily doing
Error interpretation is up to the operator and his level of experience
Resource conflicts
No seamless data transfer from planning to operation
Operator built his own AI according his experience and work with the system
Systems are not able to match and interact with different data sources
Operator vs. amount of system errors
Understand theData / graphs
Influence of the weather
Manually set influence
Communication situationWith the devices in the field
Each of these data sources will have their own „noise“This will lead to the need of a trained/experienced operator
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How can we make PV O&M easier?Seamless data stream
With a seamless data stream from planning to operating we can provide the following advantages for the user/operator:
- Less manual steps and less transfer issues
- Combine different data sources and evaluate the „maybe issue“ in a first step
- Automated, connected process steps to speed up the process and reduce manual, individual work, allowing the operator to work
on complex, edge cases while improving his utilization
- Interaction with real-time data on the energy exchanges or the grid will make it easier in the future to prioritize and show the
financial added value
Snow
Local shadding
lightning
…
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How can we make PV O&M easier?Some lessons we learned
A few topics we learned over the time and we want to share with you:
- Focus on value for the user
Failure prediction on component level vs. automated failure analysis in the pv generator
- The creation of a uniform data model and uniform data management greatly simplifies subsequent work
- Reduce manual data entry to dramatically reduce errors and data gaps
- Focus on areas with a high financial impact
Source: Report: Technical Risks in PV Projects; EURAC TUV-RH
from www.solarbankability.eu
www.solar-log.com18
Key message
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Key statement
„With structured data acquisition and analytics of these data we can reduce costs and improve the efficiency of
PV systems.“
BUT!
„If you only digitize a crappy process, you have a crappy digital process!”
Thorsten Dirks [E-Plus / Telefonica 2007 – 2017]
www.solar-log.com20
Thanks for listening!