IoT Platform for Fighting Climate Change Gains Ground
The German startup Kaiserwetter is expanding the capabilities of its IoT platform targeted at investors.
June 12, 2019
The prospect of “greening” the power grid must be more than a moral imperative. Renewable energy must have financial support.
That conclusion, mixed with a certain amount of curiosity regarding the potential of the Internet of Things, led to the founding of the Hamburg-based Kaiserwetter Energy Asset Management GmbH. The company’s Chief Executive Officer Hanno Schoklitsch determined that to reach the goals of the 2015 Paris climate agreement, renewable energy power generation must first be digitized, which will then help enable potential green power investors and financial institutions better quantify their return on investment while driving transparency and helping reduce risk. “We are helping them make more money,” Schoklitsch said.
Indeed, a transition to renewable energy is underway thanks partly to economics. The cost of green energy technology is falling, making wind and solar energy increasingly competitive compared to unsubsidized nuclear, coal or even natural-gas–based power, according to Lazard, the financial advisory and asset management firm. In 2009, an unsubsidized megawatt-hour cost $135 for wind and $359 for solar. In 2018, the corresponding costs were $42 and $42.
Kaiserwetter, who describes his 2012-founded firm as a “data as a service company,” wants to help accelerate the transition toward green power by using the Internet of Things to help lead to smarter asset management. “In the beginning, we thought: ‘We are not software guys. We have an asset management background,’” explained Schoklitsch, who has a background in civil engineering and real estate. “We started asking what IoT and digital mean for the future of renewable energy.”
The IoT platform Aristoteles centralizes performance-related data from wind and solar farms in the cloud, where it runs machine learning and predictive analytics. The IoT platform also accommodates weather-related data such as wind velocity and cloud cover information, enabling asset managers to project energy output based such weather variables. Users of the service see a traffic-light–based color coding to see which assets are running optimally (shown in green), which could have potential problems (yellow) and which are in trouble (red).