DSL Masters / NRF Sprint
Research discussion feedback note
This note is a thinking guide from your research discussion. It is not a proposal draft, not a decision, and not something to paste into an AI tool. Use it to think before you rewrite.
How To Use This
Read it once, close the page, and answer the questions in rough bullets. The goal is to make your own reasoning clearer before the next version of your NRF application.
What you are trying to do
You are trying to use low-cost sensing and a digital representation of a facility to make energy use more visible and actionable. The practical idea is valuable, especially in constrained facilities, but the research project must show what can be learned from the build.
What is strong
You can explain the practical value of visibility, sensors, a physical asset, a virtual model, and a feedback loop. That is a good starting point because it gives the project a real site, real decisions, and measurable behaviour.
Main issue
A single facility dashboard will not be enough on its own. The main knot is turning one implementation into reusable knowledge. The work needs to produce a method, model, benchmark, design rule, or transferability lesson that someone else could test in a similar facility.
Three thinking questions
- What exact facility decision should improve: anomaly detection, load visibility, peak reduction, maintenance alerting, or operational planning?
- What sensors, data frequency, and simple baseline can you realistically use without overbuilding the system?
- What would another facility learn from your method even if their building is not identical?
What to do next
Bring rough bullets that define the facility context, the one decision you care about, the sensing route, the comparison method, and the reusable lesson you are trying to create.