This was at the 21st Conference of Parties (COP21), when history was made that almost the entire world had signed the historic Paris Climate Agreement to combat the change of injuries. Since the 2015 agreement, COP21 is the most important business-focused event, driving sustainable growth and advancing the “green economy”.
Germany’s renewable energy leader KaiserWriter Energy Asset Management was operated by the COP21 agreement and has revolutionized investment in zero-emission energy since. They accomplished this, inter alia, using SAP technology to create IoT platforms capable of detecting early failure within the wind turbine.
How Data is Driving Renewable Energy
Founded in 2012, KaiserWriter serves investors, financing banks and governments in the renewable energy sector – offering specialized data analytics throughout the investment lifecycle as part of their investment process.
Generating easy-to-understand and actionable intelligence for its customers, CaesarWater uses continuous, decentralized and diverse data aggregation, aggregation from a broad range of renewable energy assets and third sources, such as meteor or electricity market related data. And uses IoT for structuring. It is a developing mission to pave the way for investing more heavily in renewable energy and accelerating emissions-free electricity generation worldwide.
With an ambitious goal of catalyzing investment in renewable energy, Kaiserwetter knew that investors needed to take their venture globally. Investing in renewable energy comes with risks, but what if there is no risk?
“One of the most important questions our customers, such as investors or financing banks, used was how are we going to reduce investment risk?”, Said Hanno Schloklisch, CEO and founder of Kaiserwetter. “Our answer is ɅRISTOTELES with its unique IoT and data intelligence capabilities.”
What is ɅRISTOTELES?
With climate change being an ongoing issue, Kaiserwetter knew that it should continue to advance its IoT platform to take the risk of making a full investment. This prompted asRISTOTELES 3.0 as an executive dashboard to demonstrate performance and maximum transparency standards for technical, meteorological, and financial data, and to minimize investment risk.
While older versions of OTRISTOTELES already show remarkable results for wind farms and solar parks, with the recently released ESRISTOTELES 3.0, artificial intelligence eventually becomes available on a daily basis to protect the performance of renewable energy assets.
Based on SAP HANA and SAP Leonardo IoT technology, with its implemented machine learning algorithms with the architecture it has detected early technical failure and surface alerts – possible consumers are reacting in advance and negative on their property performance Allow the impact to escape.
Paving the way for a zero emission future
How is the IoT platform driving investment in renewable energy? Applying ARISTOTELES within a wind turbine or solar inverter, the following was possible:
- Create a unique simulation model of typical operating conditions for each wind turbine or solar inverter of a specific renewable energy property.
- Compare model results against current asset performance from real-time data of each installation, such as wind and rotor speeds, pitch angles, solar radiation and temperature.
- Continue to look at connected machines, identify anomalies, and detect potential failures that may cause underperformance or even breakdown of a unit.
This information allows KaiserWriter to provide its customers with an assurance of minimal downtime risk and instead maximizes their returns by providing the ability to act in advance to avoid any negative impact on their property performance .
Proof of Return on Investment
Customers using the ARISTOTELES architecture to run their operations smoothly through renewable energy have found:
- 4-5% performance increase (based on marked performance baseline)
- 97% accuracy of initial failure of wind turbines
Ultimately, these reforms provided customers with the agility necessary to take action in the case of potential failures, as well as the transparency needed to support their decision-making process.