I would like to design optimized local cold and heat grids on a neighborhood scale connecting:
residential buildings = demand,
points in the city with heat/cold supply potential = LT sources such as waste heat, PVTs,
locations points for thermal storage.
For this purpose, I would like to find a way to describe mathematically these heat flows, using equations. Do you maybe know some method that could work for this and that I could reproduce in grasshopper/ladybug. UrbanOpt is like a black box to me and I would like to find a simplified method to do this work in my ladybug graph.
One solution I have thought could be to look at the energy profiles (typical end-use energy demand for different buildings functions) and match it with the potential for local heat supply, and in addition find some design logic for the thermal storage capacity. But I am not sure how to translate this into equations in grasshopper…
Any idea?
Hi! Thank you for your reply and sharing the documentation.
I am interested in the design of next-generation district thermal systems for an existing neighborhood (eg. several building blocks).
I tried to use dragonfly combined with URBANopt to visualize the load matching potential (office vs residential for instance) and decide on potential connections between buildings. However, the calculation does take a very long time (2 days) to process for approx. 300 building units on a dense area of 200m radius.
Due to this, I was wondering if I could skip this calculation process and replicate in grasshopper with simple formulas some very simplified scenarios of heat flows for a micro-grid in this test area.