My current research spans two main themes:
Whole-system modelling of CCS networks. Development of source-to-sink models reflecting the range of carbon capture technologies, transportation networks, and sequestration sites expected in the UK.
This work is carried out in the context of an EU FP7-ENERGY project: CO2QUEST. The goal is to understand the risks and benefits associated with CO2 impurities and their impact on the optimal operation of CCS networks. The main activities include process modelling and network optimisation optimisation.
Process control strategies for PCCC plants. Design of control strategies for post-combustion carbon capture plants (PCCC) coupled with power plants subject to flexible operation conditions. The focus is both on classical control solutions and on advanced process control strategies, such as model predictive control.
Rivotti P, Pistikopoulos EN, 2015, A dynamic programming based approach for explicit model predictive control of hybrid systems, Computers & Chemical Engineering, Vol:72, ISSN:0098-1354, Pages:126-144
Rivotti P, Pistikopoulos EN, 2014, Constrained dynamic programming of mixed-integer linear problems by multi-parametric programming, Computers & Chemical Engineering, Vol:70, ISSN:0098-1354, Pages:172-179
et al., 2017, The water-energy-food nexus in Kazakhstan: challenges and opportunities, General Assembly of European-Geosciences-Union-Energy-Resources-and-Environment-Division, ELSEVIER SCIENCE BV, Pages:63-70, ISSN:1876-6102
et al., Flexibility issues and controllability analysis of a post-combustion CO2 capture plant integrated with a natural gas power plant, 8th Trondheim Conference on CO2 Capture, Transport and Storage (TCCS-8)