Technology Options ForIndian Coals and Optimization of IGCC Cycle Efficiency

摘要

The Global concern for reduction in emission of green house gases (GHG) especially CO2rnemissions are likely to put pressure on Indian Power Sector for adoption of improvedrngeneration technologies. Although India does not have GHG reduction targets, it hasrnactively taken steps to address the climate change issues. Mitigative options for India forrnCO2 reduction, which have been taken up vigorously include, GHG emission reduction inrnpower sector through adoption of Co-generation, Combined cycle, Clean Coal Technologiesrn(CCTs) and Coal beneficiation. A major thrust on CO2 reduction on long term andrnsustainable basis would however come through adoption of advanced technologies ofrnpower generation like Supercritical/Ultra-supercritical power cycles, Integrated GasificationrnCombined Cycles (IGCC), Fluidized bed Combustion/Gasification Technologies usingrndomestic coal, which is the main stay of power generation in India. India is in favour ofrnadopting in IGCC technology and the efforts are being made to put this technology on thernpower technology map of India.rnAn extensive study is undertaken with existing GT machine frames for IGCC cyclernoptimization using Indian coals with fluidized bed gasification technology. From the study itrnresolves that gas clean up temperature in the range of 500-550 ℃ is viable from the point ofrnview of plant cost vis-à-vis efficiency gain achievable.rnThis paper manly focuses on optimizing the IGCC cycle efficiency by taking intornconsideration coal gas cleaning temperature and the bottoming cycle parameters for variousrntopping cycle configurations. By improving the cycle parameters of topping & bottomingrncycle gain in IGCC cycle efficiency is computed. In case of bottoming cycle, an optimumrnrange can be achieved between IGCC cycle efficiency and design of waste heat recoveryrnboiler for varying process parameters. This approach in optimization of IGCC bottomingrncycle process parameters compares well with the experimental data available.