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Zwanendal: Unleashing Renewable Asset Potential within Grid Constraints for Maximum Financial Returns

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Optimize financial returns of renewable assets on the imbalance market while managing a stringent grid limitation.

At the Zwanendal wind farm near Petten, Netherlands, we have been working to combine a lot of renewable assets into a unified and intelligent system. Our innovative software design effortlessly combines three different asset kinds (a wind turbine, a solar plant and a battery), resulting in a framework that is intelligent and dynamic, complies to grid restrictions, and gives Greenchoice unmatched control. Spectral transforms the renewable energy environment by removing the need to manage physical limits and provides a game-changing method for maximizing the financial rewards of renewable assets on the unbalanced market.

Date:

November 2022 - Present

Client(s):

Partner(s):

1

Challenge

This project presented a substantial challenge: combining many assets into a unified and intelligent system while guaranteeing the highest level of data quality to consistently uphold grid constraints. The smooth operation and optimum performance of the integrated assets depended on achieving this delicate balance. Our STELLAR team worked hard to create reliable data collecting methods using cutting-edge sensor technologies and data analytics techniques. We created a solid basis for the intelligent system that allows for accurate control and efficient administration of the renewable assets by meticulously validating and cross-referencing the information that was gathered. In the field of renewable energy, Spectral works as a reputable and dependable solution thanks to our everlasting dedication to accuracy and grid compliance.

2

Approach

Spectral established a strong strategy of checking the acquired data against information from overlapping systems in order to guarantee its accuracy. We did a thorough analysis that entailed cross-referencing the gathered data with reliable sources within the grid architecture through the seamless integration of data streams from the interconnected assets. This meticulous validation procedure acted as a vital quality control step, allowing the detection of any anomalies, outliers, or inconsistencies. Only accurate and trustworthy data was used to maintain grid limitations when differences were detected and highlighted for further examination. 

 

3

Outcome

Spectral improved the system’s dependability and confidence by using this strategy, which also offered real-time insights and proactive response capabilities. As a result, renewable assets were precisely controlled, allowing for the optimization of their financial rewards on the imbalance market while maintaining strict grid constraints.

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