Even apparently simple tasks we try to solve creatively.
Our client asked us to position the greenhouse on the plot. He envisioned a simple georeferencing on the site plan, taking into account passageways and nearby buildings. But we went a bit further π and started writing an algorithm to analyze and optimize the position of the greenhouse volume to make it more energy efficient. How does it work? We took into account not only the size of the greenhouse and the climatic data of the region, but also important parameters such as: - Shade from other buildings and fencing on the property, - The trajectory of the sun during the day and season, - Optimal roof pitch angles for better warming during the winter months with low sunlight. What we used: - Ladybug Tool to analyze solar radiation and climate data. - Galapagos is a powerful evolutionary algorithm that automatically finds optimal solutions. It literally "figured out" in which position the greenhouse will collect maximum solar energy, without being shaded by neighboring objects. -Grasshopper- with the help of which we created a dynamic model of the greenhouse that changes depending on various inputs: slope angle, slope height, position on the plot and even orientation relative to the sides of the light. The main challenge: In harsh winter conditions, it is important that the greenhouse receives maximum solar heat to reduce the cost of additional heating and provide a stable microclimate for plants. We carried out detailed calculations and optimizations to ensure that the greenhouse roof at the right angle collects as much heat as possible in winter and does not escape into the shadows of other objects. With the help of modern digital tools and algorithms, we were able to find the best location and orientation for the greenhouse, making its use not only convenient but also economically viable. Technology is helping us make informed decisions and keep up with sustainable agricultural solutions.