Bas Booijink (32) and his parents own a dairy farm and manage 65 hectares of land. A solar park was developed in an earlier collaboration with QING. Thanks to the turbulent energy market, they are confronted with negative energy prices. This means that at times they had to pay money to feed energy back to the grid.
Bas was curious about the possibilities to make their solar park more profitable.
Data analysis
Battery sizing
Technical-economic analysis
The idea arose to install a battery near the solar park that can store the energy in times of adverse market conditions, and then sell it at favorable times. To test the technical and financial feasibility of this, Bas called in QING.
After setting the principles, the project started collecting data. Thanks to our previous cooperation with the Booijink family for the realization of the solar park, we were able to see the energy output of the solar park fairly easily. This was supplemented with energy market data to determine the battery's sales potential and trading opportunities.
There are countless variables and knobs to turn on in complex energy systems like this one. The trick is to distinguish between the main and the secondary issues so that the analysis can be kept understandable and manageable.
Because we have determined crucial variables we limit the complexity and scope of the research without compromising the result. For example:
By making the research less extensive, we prevent the Booijink family from spending a lot of time in analyses that ultimately prove to be of limited added value. This is how we keep the feasibility study efficient and effective.
To calculate whether the Booijink family would do well to invest in a battery, we created a simulation. This allows us to test how the battery would behave in the real world with the current market conditions and deduce whether that would be profitable. The simulation continuously calculates which revenue models yield the most based on the battery's fill rate, the changing yield of the solar park and market conditions. For example, it is decided when is the right time to sell stored energy or to provide balancing services to the grid.
Based on the test period, we have 4 optimal business models and combinations of these identified, including the earning potential in turnover per year. These are set out in a profit and loss account that categorizes all costs and revenues by year.
Expecting a losing business case is also a valuable outcome for the Booijink family. With this they prevent them from now investing in something that turns out to be unprofitable.
This does not mean that this business case will not be profitable at a later date. Batteries are becoming increasingly cheaper and regulations concerning energy taxes and other cost items are constantly changing. In addition, if the market develops positively, the battery can still be realized.
The research also provided insight into the factors that determine battery revenues and costs and how changing market conditions influence the business case.
It's not now or never, but now or later. The Booijink family knows under what circumstances it can work out financially. eWith this knowledge, n is ahead of other solar parks.