Background:
In the modern buildings, heating (and cooling) plays an indispensable role to maintain comfortable working/living conditions [1]. To this end, most of the buildings use a very standard model towards positioning the heat sources and choosing the building material. Although this provides a comfortable environment sought, it does not guarantee optimality in terms of energy consumption. Lot of emphasis has been paid in the current society on energy conservation. The problem gains even more importance given the magnitude of energy consumption in millions of buildings worldwide.

Aim and objectives:
The aim of this project is to adopt a bidirectional, feedback-based approach to optimize the heating settings in a closed environment:

To place the heat sources and study the heat distribution using infra-red camera

To use the above settings together with a simulation (inspired by [2]) to comprehend the heating model and finding the sweet spots for optimization

Requirements:
Student(s) should be advanced level programmers (C,C++,..)
Knowledge in GPU programming required
Interest and adaptability in the underlying thermal processes and simulation

Related links:
[1] https://blog.openenergymonitor.org/2013/09/measuring-building-thermal-performance/
[2] Real-time particle-based snow simulation on the GPU, Prashant Goswami, Christian Markowicz*,
Ali Hassab*, Eurographics symposium on parallel graphics and visualization, 2019