Reviewer2

[prudhomm]

This paper summarizes developments for the Ktirio Urban Building (KUB)
framework, which in the long term should be used for energy simulations of cities
are parts thereof to enhance urban planning and the overall building energy
requirements. The frameworks builds on several open-source packages such as
Feel++ and CGAL algorithms. The various steps of postprocessing, the options for
the selection how detailed the city is resolved, heat transfer modelling, etc. are
described, such that a very nice overview of the project including CI/CD solutions
are presented. The paper is well written and easy comprehensible.

However,

details of mathematical models or computational methods are not at all included in the paper. Basically, the paper is an overall description of the software framework with its present and planned capabilities, but lacks a description of the algorithms usedin the various pre-, and postprocessing as well as simulaton steps.

I recommend to

1. summarize the most important mathematical models 6 add governing equation section #7
2. zummarize the most computing intensive algorithms with their parallelization strategy.

For example, it is difficult to understand the performance metric shown in Fig. 11 if no background information about the computational task is included.