CoPylot optimization

Hi!
Is it possible to perform optimizations using CoPylot?  I am able to design the solar field using generate_layout() method, and perform simulations using simulate(). But I do not find any method within the API for performing optimizations. Is there any method to do that? Thanks!

Hello,

The publication "Demonstrating SolarPILOT's Python API Through Heliostat Optimal Aimpoint Strategy Use Case" by William Hamilton et al. (2021) may be helpful: www.nrel.gov/docs/fy21osti/78774.pdf

You can find other resources here:

github.com/NREL/SolarPILOT

www.nrel.gov/csp/solarpilot.html

Best regards,
Paul.

Thanks Paul,

I am already working with CoPylot and yes, William Hamilton et al. (2021) has been very useful, thank you very much.  CoPylot.py (available in the github repo) has a list of methods:

Methods
   

---

    version(p_data: int) -> str
    data_create() -> int
    data_free(p_data: int) -> bool
    api_callback_create(p_data: int) -> None
    api_disable_callback(p_data: int) -> None
..... (it continues)

My question was, if among all these methods, there is any with which field optimizations can be performed. I found the necessary methods for field design (i.e. generate_layout) but I cannot find any method for field optimization. Do you know the method for performing field optimziation? Or it is still not implemented?

Thank you very much for your help! 

Hello,

CoPylot does not support optimization methods through the API. This was done by design because Python supports numerous
open-source optimization methods that could be used in conjunction with CoPylot.

Best regards,
Paul.