NatLabRockies / NatLabRockies/H2Integrate
Defining Profit Maximization in H2I Dispatch
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 26
- Forks
- 44
- Avg merge
- 3d 22h
- Merged PRs (30d)
- 16
Description
The H2I dispatch currently optimizes in dollars. This issue is to discuss how this is implemented in a way that applies to on-grid and off-grid plants.
Current Options:
- Require grid components for profit maximization and a load for off-grid plants
- Implement the profit maximization that works for on-grid (regular profit maximization) and off-grid (only costs, no revenue, and maximizing this value).
My thoughts are that 1. is too limiting for H2I, but could be a good first-pass. I don't know if 2. would work without a load to go with it, because if there are operating costs and no profit, the best solution is to not operate.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the H2I dispatch implementation and tracing how profit is currently calculated for on-grid plants. Compare the two proposed approaches for on-grid and off-grid operation, including the role of load and operating costs. Done requires an agreed definition of profit maximization and a decided implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100