Frequently Asked Questions

FAQ

This article collects frequently asked questions from Optiml users. Last edit: 03.03.2025

Q: Do you consider CRREM CO2 paths?

A: Yes, we have integrated both the 1.5°C CO2e and 2.0°C CO2e reference paths of CRREM in our product. They are dynamically computed based on the use types in your portfolio.

Q: What quality of 3D building models do you provide?

A: This depends on the product tier (overview here).

Rapid assessment is based on 3D building models in LoD 1.2 and in Switzerland even 2.0-2.2 depending on the region.
Future proof-strategies is based on 3D building models in LoD 1.2 and in Switzerland even 2.0-2.2 depending on the region.
Integrated planning is based on 3D building models in LoD 3.2. Optiml is able to import around 25 file formats of existing meshes on the clients side, including .gbxml files.

Q: Can I change the zonal representation of what is cooled, heated or ventilated in the building?

A: Yes, with our Integrated Planning tier we provide detailed zonal representation of your assets.

Q: Can I represent a detailed 3D model incl. floor plans and zone types?

A: Yes, with our Integrated Planning tier we create a Digital Twin for you based on floor plans and zonal information.

Q: Can I adapt the u-values in the tool?

A: Customizability of strategy outputs on the asset level will be available soon.

Q: Can I represent vacancy of my asset, so that I have better overview on the cashflows and the energy demand vs. consumption data I have?

A: We currently do not support zonal representation of vacancy for financial planning. However, it is coming in 2025!

Q: Do you validate the energy data I onboard and show me how much it differs from simulation results?

A: We are currently working on a representation that allows you to compare simulation with reported energy consumption. Stay tuned!

Q: Can you help me validating the confidence level of my asset? I need to understand where I should try to find better information.
A: Yes, we are currently working on implementing a data confidence score, that will help you to see the gaps and prioritize which ones to fill first!