Investigating the impact of Cryogenic Carbon Capture on power plant performance

Cryogenic Carbon Capture (CCC) is a CO2 mitigation process that can be integrated into existing baseline and load following fossil-fueled power plants. This process consumes less energy than conventional chemical absorption and includes energy storage capability. The CCC process has a fast response time to load changes to allow higher utilization of intermittent renewable power sources to be used at a grid-scale level in the power sector. The impact of the CCC process on the performance and operating profit of a single fossil-fueled power generation unit is studied in this paper. The proposed system (power production from wind, coal, and natural gas) meets the total electricity demand with 100% utilization of the available wind energy. The operational strategy for the hybrid energy-carbon capture system and the change in the performance of the hybrid system due to the seasonal changes are also examined in this paper. A sensitivity analysis is implemented to investigate the change in operating strategy of the hybrid system based on the relative fraction of wind energy adoption. The optimal wind energy adoption factor in the proposed system is obtained.

[1]  Mohammad S. Alam,et al.  Dynamic modeling, design and simulation of a wind/fuel cell/ultra-capacitor-based hybrid power generation system , 2006 .

[2]  Matthew Leach,et al.  Built-in flexibility at retrofitted power plants: What is it worth and can we afford to ignore it? , 2011 .

[3]  Seyed Mostafa Safdarnejad,et al.  Initialization strategies for optimization of dynamic systems , 2015, Comput. Chem. Eng..

[4]  Mark J. Jensen,et al.  Energy Processes Enabled by Cryogenic Carbon Capture , 2015 .

[5]  Hana Gerbelová,et al.  The effect of retrofitting Portuguese fossil fuel power plants with CCS , 2013 .

[6]  Larry L. Baxter,et al.  Prediction and validation of external cooling loop cryogenic carbon capture (CCC-ECL) for full-scale coal-fired power plant retrofit , 2015 .

[7]  Seyed Mostafa Safdarnejad,et al.  Plant-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources , 2015 .

[8]  Kody M. Powell,et al.  Nonlinear modeling, estimation and predictive control in APMonitor , 2014, Comput. Chem. Eng..

[9]  Flavio Manenti,et al.  Dynamic simulation of concentrating solar power plant and two-tanks direct thermal energy storage☆ , 2013 .

[10]  Jon Gibbins,et al.  Initial evaluation of the impact of post-combustion capture of carbon dioxide on supercritical pulverised coal power plant part load performance , 2007 .

[11]  Louis J. Durlofsky,et al.  Optimal operation of an integrated energy system including fossil fuel power generation, CO2 capture and wind , 2011 .

[12]  Lorenz T. Biegler,et al.  On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming , 2006, Math. Program..

[13]  Randal W. Beard,et al.  Optimal Trajectory Generation Using Model Predictive Control for Aerially Towed Cable Systems , 2014 .

[14]  Yongping Yang,et al.  Solar thermal aided power generation , 2010 .

[15]  C. Cormos Integrated assessment of IGCC power generation technology with carbon capture and storage (CCS) , 2012 .

[16]  Filip Johnsson,et al.  Dispatch modeling of a regional power generation system – Integrating wind power , 2009 .

[17]  Hector D. Perez,et al.  Combined Rate of Penetration and Pressure Regulation for Drilling Optimization by Use of High-Speed Telemetry , 2015 .

[18]  William D'haeseleer,et al.  The actual effect of wind power on overall electricity generation costs and CO2 emissions , 2009 .