I think we can all agree that performing energy system analyses is a blast! But producing the inputs for our models is generally not. Nevertheless, how can you model an energy system without, for example, RES generation profiles, demand profiles, or storage options? Most importantly, we want to ensure that the products of our analyses are comparable to those of our peers and our former selves. It’s therefore of the utmost importance that we take great care regarding how we generate the inputs we need (ensuring reproducibility and consistency as much as possible). Fortunately there are at this point a number of easily-followed recipes and open-source tools available which we can use to lighten this burden.
Some examples of common model inputs (Please suggest others to add):
- Regional capacity values for RES technologies (most notably wind and pv)
- Sites of future RES installations
- Managing large weather datasets
- Time series generation values for RES technologies
- Time series demand values (electricity, heat, hydrogen)
I propose an interactive teach-a-thon in which those of us possessing experience with these procedures and tools can exemplify their use. The format could be one where several people each have a chance to showcase their experience, followed by a short question and answer round. In the end, we can have a group discussion regarding lessons learned. From this, we can collectively identify common methods and perhaps even identify roles which future tools could fill. At the very least, such a program could surely teach each of us something new, since no one is an expert in everything!
In the examples listed above, I have highlighted the first three points as I feel that I can offer expertise in these areas. So I would of course offer to be one of the people filling the ‘teacher’ role for some of the time. However to prevent this introduction from becoming too long, I will explain each of these points in the comments below.