A NGCC power plant with a CO2 post-combustion capture option. Optimal economics for different generation/capture goals

PATRICIA L. MORES; EZEQUIEL GODOY; SERGIO F. MUSSATI; NICOLÁS J. SCENNA

CHEMICAL ENGINEERING RESEARCH & DESIGN

INST CHEMICAL ENGINEERS

Año: 2014 vol. 92 p. 1329 - 1353

0263-8762

Fossil fuel power plants are one of the major sources of electricity generation, although invariably release greenhouse gases. Due to international treaties and countries regulations, CO2 emissions reduction is increasingly becoming key in the generators´ economics. NGCC power plants constitute a widely used generation technology, from which CO2 capture through a post-combustion and MEA absorption option constitutes a technological challenge due to the low concentration of pollutants in the ue gas and the high energy requirements of the sequestration process. In the present work, a rigorous optimization model is developed to address the design and operation of power plants coupled to capture systems. The equations-oriented modeling strategy here utilized can address greenfield designs in which design and operating variables are simultaneously optimized, in order to ensure that the system will be able to meet process requirements at minimum cost. Then, an analysis of the electricity cost, CO2 avoidance cost, energy penalties, as well as the optimal values of decision variables is thoroughly pursued. Different economic trade- offs are comprised at the optimal solutions for the joint project, as given by the dierent discrete and continuous decisions that the designer needs to weight in order to achieve the desired generation and capture goals, including the number of parallel capture trains, the inherent eciency of each recovery unit, and the overall emissions reduction rate. In this context, the joint optimization of the NGCC power plant with the amine-based capture option results in a novel conguration where 731 MW are optimally generated for supplying both the external demand and the capture plant energy requirements, and achieving an overall CO2 emissions reduction rate of 82.1% by means of a three capture trains arrangement, where 13.4% of the flue gas stream is bypassed and 94.8% of the CO2 gets recovered at each unit. This new generation/capture project features optimal values of its economic performance indicators, with an avoidance cost of 81.7 US$ per tonne of CO2 captured, which can only be secured by simultaneously optimizing the design and operating variables of both systems on a start-of-the-art optimization algorithm.