Concentrating solar power (CSP) is a dispatchable renewable energy technology that is envisioned in load-following roles in the future. The net thermal efficiency and dispatchability of a CSP plant can be enhanced through the application of plant wide control strategies. Model-based predictive control (MPC) is a suitable control methodology but requires computationally efficient dynamic models of each CSP plant subsystem. Currently, there are no computationally efficient dynamic models of the cooling system most appropriate for CSP plants-natural draft dry cooling towers (NDDCT) and mechanical draft towers. This work aims to develop a computationally efficient dy-providing me with technical support, motivation, mentoring, and guidance for a thesis that I found very challenging. I am deeply grateful to my close friends: Isabel Hardy; Sean Costello; and Ben Valentine, my family, and others who all provided emotional support and motivation during this testing time. A special mention also to Dr. Michael Forbes who accommodated me when I was struggling to meet deadlines.