Speakers
About The Event
Digitalisation is spurring new approaches to developing next generation technology for the solar industry and the industry is far ahead in the application of emerging digital technologies such as blockchain, drones and cloud computing.
The Solar PV Digitalization Forum aims to bring the solar industry together to discuss the market opportunity of digital solar, digital innovation and technological challenges for the industry, including how machine learning, digital twin and predictive analytics can enable monitoring and prediction failures to help drastically improve availability, reliability of the solar assets & increase revenue and reduce O&M costs.
Hear from the Industry Experts as they come together to share their experience and knowledge as well as look at the future market opportunity of digital solar. Solar panel manufacturers will share their views on technical requirements, standards and drivers for digitalization as well as investigate the latest solar panel design & technology. Data analytics & cyber security will be discussed to bring an understanding on the importance of accurate data & security and how it plays an important part in the operational and developing phase as well as help predict components failure, reduce operational costs and risks.
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Event Details
About the event
Digitization is a trend that can have a major impact on every industry in every region. Its direct benefits include reduced costs, increased revenue and growth. With the energy industry undergoing a fundamental transformation, digitization could be key to greater productivity, efficiency and flexibility. We are now transitioning from a centrally organized world of power generation into a system of diverse and distributed generators.
Like most sectors, the solar industry is rapidly embracing ways to analyze and crunch data in order to lower the cost of solar energy and to open up new markets for their technology. The rise of data tools—algorithms, machine learning, sensors—are driving investments in, and acquisitions of, solar startups, while entrepreneurs are launching new companies that are using data to solve various solar industry problems. Meanwhile, big companies are spending money on tracking, monitoring and evaluating data from solar projects worldwide, helping to lower the cost of generating energy from the sun.
As the solar industry continue to lower down the cost of operations and maintenance, digitalization and data analytics plays a vital role to achieve further cost reductions & increase production yield. Digitalisation is essential to enabling the massive deployment of photovoltaics in the energy system and a major opportunity for solar, not least because it is a means of integrating more PV into the grid, gaining system-wide benefits and new revenues for solar installation.
Solar PV Digitalization Forum is set to cover all aspects of big data and its impact on the solar sector as well as identifying issues and challenges and providing potential solutions. It’s a great opportunity for industry professionals to come together to exchange the ideas, explore new thinking and help shape the development of the industry. The sessions are set up to be interactive for the attendees to get involved in the experience-sharing process and to tackle existing problems in real-time discussions.
The Solar PV Digitalization Forum will critically analyze solar sector digitalization and data-driven operations, performance forecasting and new business models, solar assets optimization with Artificial Intelligence (AI) and automation, data-driven monitoring and inspection, predictive maintenance, and using advanced analytics to reduce costs and drive performance.
Do not miss the opportunity to join the Solar PV Digitalization Forum where we will be discussing Digital Twin technology with AI, thefts in big solar PV plant, Advanced Control System Software to improve energy trading, carrying out predictive maintenance for photovoltaic inverters using data analytics and AI. We will be uncovering performance gaps of PV plants with automated data analytics. We will have a deep look into technical risks, failures and corresponding mitigation and costs and limitations and challenges of data-driven risk analysis.
Join us to discuss and brainstorm on how digitalisation is sharpening the solar industry and shaping the industrial innovations of tomorrow, how to build effective strategies for a data-driven maintenance, understand how predictive maintenance can improve solar PV asset efficiency, explore how to leverage digital innovation to optimize performance, examine how to use data analytics and artificial intelligence to optimize O&M & asset management processes and learn how to harness the power of solar data analytics to uncover performance losses, reduce maintenance and increase yield.
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Panel Discussion with Interactive Q&A
Digitalisation of The Solar Industry
- What do we understand by ‘digitalisation of solar’? and why it is important?
- What are key ingredients of digitalisation in the solar industry?
- What are key learnings from applying advanced technologies in other industries?
Sean Ratka
Associate Programme Officer, International Renewable Energy Agency (IRENA)
Digitalisation for a Renewable-Powered Future
- We are witnessing increased disruption in the energy sector; this requires a combination of solutions (DLT working in tandem with IoT and AI)
- Capture data with IoT
- More/better/cheaper IoT devices has led to an ocean of data
- Need to manage and analyse this ocean of data effectively with innovative solutions (AI + DLT)
- Manage data securely with DLT
- DLT can help ensure payments and energy data are not tampered with, reducing fraud
- Increased transparency
- Distributed management of data without a trusted intermediary
- Analyse data efficiently with AI
- Machine learning models and neural networks processing and analysing data in real time, allowing for enhanced decision making
- Capture data with IoT
Antonio Alcaro
Asset Manager, aventron
Digital in Operational and Developing Phase
- Direction of the data in modern PV plants
- Developing phase and operational phase, where is the digital now
- DNO active connection: any problem for us?
- Market opportunities of digital solar
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Constantinos Peonides
Commercial Director, Alectris
Developing Disruptive Business Models in Digital Age
- A new paradigm: why do we need new business models?
- Digital collaboration enables new business models and efficiency
- Digital disruption – what differentiates the winners from the losers?
- Data is the new oil: How to turn IoT data into value
Massimiliano Pili
Head of Engineering & Construction, Encavis AG
Big Analytics in Solar Power: How do we get Value from Big Data?
- Key sources of big data in the solar industry: plant information, forecasting and trading data, operations and maintenance, and metadata.
- Plant information
- Forecasting
- O&M / monitoring system
- Leveraging business value by connecting information from disparate sources: Who needs to know what, and when?
- Data ownership is key
- KPIs analysis
- Big data and smart analytics that support the business, rather than the other way around
- BI is key when dealing with large park fleets, or portfolios, allowing the application of homogeneous logics, smart filtering, etc
- Tools: Data model, PowerBI
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Lunch Time Break
Félix Gorintin
Chief Operating Officer, INNOSEA
Numerical Modelling Strategies and Instrumentation Challenges in Floating Solar PV
- Station-keeping for floating solar – a new and singular challenge
- Numerical modelling strategies
- Instrumentation objectives and challenges
- Call for operational projects – European R&D project TRUST-PV instrumentation opportunity
- Take-away messages and next steps
Tom Tansy
Chairman, SunSpec Alliance
Digitalization in 2021: Driven by Regulation and Standards
- The digitalization of Distributed Energy has been a decade in the making and is driven by global technological innovation in smart inverter, smart PV modules, and interconnection processes.
- 2020 was a watershed year for Distributed Energy digitalization with the implementation of U.S. regulations (IEEE 1547-2020 and NEC 2017) that have cemented the concept in the U.S. market. Henceforth, Distributed Energy Resources will be digitally linked using standard data communication networks.
- As a result of these regulatory changes, the amount of standardized data flowing through the industry will expand exponentially starting in 2021 and continuing for the remainder of the next decade.
- Changes to the energy landscape like virtual power plants and block chain technology will accelerate the rate of change and open up new business opportunities for all stakeholders.
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Interactive Discussion with Q&A
In the interactive discussion experts, will engage with each other in a small discussion group, interactively discussing different questions on a topic
- Big Analytics in Solar Power: How do we get Value from Big Data?
- Digital Twin for Solar Plants - Harnessing the Power of Data Intelligence in Solar PV O&M
- Performance Optimization and Monitoring for Enhanced Solar PV Plant Operations
- Using Data Analytics Tools to Predict Solar Panel Components Failure and Reduce Operational Costs
- Advanced Machine Learning Techniques for Solar Plant Monitoring
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Pierre-Alexandre Metaut
Global Performance Manager, NovaSource Power Services
Data Science and Performance Optimization
- Data is among your most valuable assets
- Data reliability: the key is in the quality!
- Centralized data: Making effective use of that unique pool of information
- Turning data into knowledge and business insights
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Cegeon Chan, PhD
Director, Wind and Solar Energy Assessments, DNV GL Energy USA, Inc.
How to Enable Data Driven Decisions
- There have been recent studies identifying US Solar plants have been underperforming anywhere between 3-6 percent
- A deeper analysis can unlock insights explaining this gap
- Universal algorithms that works across your portfolio can be powerful to quickly diagnose issues across the fleet
- This talk will discuss how DNV GL uses common solar plant data to identify correctable items
Debbie Brodt-Giles
Data Science and Innovation Group Manager, National Renewable Energy Laboratory (NREL)
Open Energy Data Initiative (OEDI): Solar Big Data Access and Analysis Tool
- Learn about the OEDI project and how it is providing access to big data for researchers and analysts
- See why a data lake solution can accelerate research and analytic innovation
- Bring your data too! Learn how you can contribute data and create new mash-ups of data as well
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Lunch Time Break
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Interactive Discussion with Q&A
In the interactive discussion, experts will engage with each other in a small discussion group, interactively discussing different questions on a topic
- Advanced Predictive Maintenance for Increased Solar Panel Efficiency and Reliability
- Challenges and New Opportunities in Managing Solar Assets in the Era of Digitalization
- Digitalization of PV Operations - Analysing performance and automating O&M
- How to secure Solar PV from Thefts & Cyberattacks
Moderators
Ypatios Moysiadis
Group Business Development Director & UK Country Manager
Greensolver
Constantinos Peonides
Executive Director
Alectris
Panelist:
Will Hitchcock
CEO
Above
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Interactive Discussion with Q&A
Drones for Solar PV O&M –Using Drones as a Solar PV Tool
- Using drones to inspect solar panel and plant sites
- State-of-the-art drones’ technology and economics around the use of drones
- What a drone can do – and what it can’t do when it comes to solar PV O&M
- Using faults diagnosis to detect problems and prevent future failures
- How to ascertain if a fault is a priority and avoid unnecessary money loss
- Developing a predictive maintenance mindset using data
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Aron P. Dobos
Director, Solar Monitoring & Analytics, Envision Digital, Ltd
Advancing Solar Analytics with Applied Machine Learning
- How AI-based algorithms in Envision’s Ensight Solar SaaS solution help:
- Quantify bifacial system gains
- Produce reliable KPIs for reporting
- Help compensate for primary sensor shortcomings
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Panel Discussion with Q&A
Advanced Predictive Maintenance for Increased Solar Panel Efficiency and Reliability
- Analyse of data on a panel-by-panel and plant-by-plant basis to predict maintenance needs and increase solar panel efficiency
- Analyse data, predict health and availability of solar panel
- Preventing unscheduled downtime and increasing O&M efficiency
- Weather modelling techniques
- Identify underperformance and inefficiency
Moderators
Ypatios Moysiadis
Group Business Development Director & UK Country Manager
Greensolver
Constantinos Peonides
Executive Director
Alectris
Panelist:
Will Hitchcock
CEO
Above
Emily Hwang
Applications Engineering Manager, Yaskawa Solectria Solar
Does Digitalization of Solar PV Lead to Increased Cybersecurity Demands?
- The real threat cyberattacks have on the energy sector
- Suggestions on how to decrease a PV plant’s cyber risks
- Spotlight on new inverter functionality and their risks
- Next steps that the PV industry is taking to protect the energy sector from cyberattacks
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Interactive Panel Discussion with Q&A
Solar Plants Cyber Security in the Age of Digitalization
- WHAT is Cyber Security?
- WHY is it important and critical to solar plants operations?
- Cybersecurity - emerging threats and strategies to address them
- What cyber security issues emerge as digital solar plants strategies are adopted
- Cybersecurity best practices for solar energy
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