Optimisation

Optimal sensor placement for leak detection and identification in pipeline networks

Detecting and identifying leaks in a pipeline network (citywide, industrial, domestic, etc.) is a challenging activity, one that has significant implication on safety and performance of the network. 

Plantwide real time optimization, control and estimation of a solar thermal power plant

This work will deal with plantwide simulation studies for real time optimization, control and estimation using a dynamic model of a solar thermal power plant. The model was developed by an earlier PhD student and mimicks an actual 1 MW hybrid solar thermal power plant designed, commissioned and installed by a team from IIT Bombay. 

Electrocatalytic CO2 reduction reaction: Multiscale modelling of transport, catalyst surface evolution, and reaction processes

According to the Paris climate accord signed in 2016 with the aim of substantially lowering the risks and impacts of climate change, the goal is to pursue technologies that can limit the rise in average global temperature to ~1.5 degree C above the pre-industrial levels by 2050. One of the important greenhouse gas emissions being targeted is carbon dioxide. Currently, production of commodities crucially linked to growth and development, such as cement, steel, plastic, ammonia and aluminum, are resulting in large CO2 emissions.

Machine learning models for designing next-generation electrolytes for Li batteries

All solid-state batteries using lithium metal as anodes are currently being explored for high power and high energy density batteries. Traditional lithium ion batteries (LIBs) using liquid electrolytes pose significant issues, e.g., the organic electrolytes are flammable and undergo degradation. These issues can be overcome using solid electrolytes such as sulfide-based glassy and glass-ceramic solid electrolytes. Such materials have shown to possess very high ionic conductivities and excellent mechanical properties.

Design of robust optimal heat exchanger networks

Heat exchanger networks are designed with an aim of optimal performance at the design steady stage. This does not guarantee that in the presence of unanticipated (temperature, flow, UA) and planned (temperature, flow) disturbances, the designed network will still be optimal. To this end, this project aims at designing a network which will be robust enough to tackle these disturbances while maintaining optimality of operation. Continuous as well as batch heat exchanger networks will be targeted.

Design aspects of energy-integrated batch distillation

Distillation is one of the most commonly used as well as the most significant contributor of energy in chemical processing complex. Energy integration can improve the sustainability of the process by reducing utility requirement in batch distillation. However, operation of such columns is challenging. Traditionally, design of such systems is pursued without giving any consideration for operation. In the light of this, this project aims as developing a design framework for such distillation columns to address operational challenges.