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The application of carbon capture and storage (CCS) and carbon neutral techniques should be adopted to reduce the CO 2 emissions from power generation systems. These environmental concerns have renewed interest towards the use of biomass as an alternative to fossil fuels. This study investigates the comparative potential of different power generation systems, including NGCC with and without exhaust gas recirculation (EGR), pulverised supercritical coal and biomass fired power plants for constant heat input and constant fuel flowrate cases. The modelling of all the power plant cases is realized in Aspen Plus at the gross power output of 800 MW e and integrated with a MEA-based CO 2 capture plant and a CO 2 compression unit. Full-scale detailed modelling of integrated power plant with a CO 2 capture and compression system for biomass fuel for two different cases is reported and compared with the conventional ones. The process performance, in terms of efficiency, emissions and potential losses for all the cases, is analysed. In conclusion, NGCC and NGCC with EGR integrated with CO 2 capture and compression results in higher net efficiency and least efficiency penalty reduction. Further, coal and biomass fired power plants integrated with CO 2 capture and compression results in higher specific CO 2 capture and the least specific losses per unit of the CO 2 captured. Furthermore, biomass with CO 2 capture and compression results in negative emissions. [ABSTRACT FROM AUTHOR]

A semiempirical model for estimatingthe heat capacity of aqueoussolutions of alkanolamines, both before and after CO2absorption,has been developed, and the model parameters for several systems havebeen obtained using regression techniques. Furthermore, the heat capacitydata for pure monoethanolamine (MEA), diethanolamine (DEA), N-methyldiethanolamine (MDEA), 2-amino-2-methyl-1-propanol(AMP), and piperazine (PZ), as well as the heat capacity data foraqueous solutions of the alkanolamines that have been reported inthe open literature, have been analyzed. Given that the data reportedby the several different authors for the same system were not weightedduring the regression, key statistics of the model predictions againstthe experimental data set used in the model fitting have been usedin the assessment of the relative accuracy of the experimental datareported by different authors for the same system. Overall, the modelpredictions are in excellent agreement with most of the experimentaldata that have been reported. [ABSTRACT FROM AUTHOR]