Session: Student Poster Competition

Submission Number: 187064

Nox Conversion Performance of a Medium-Temperature Scr for Ch4/h2/nh3 Gas Turbines 

Within the energy sector, the mitigation of climate change necessitates a paradigm change towards the replacement of conventional with sustainable power generation technologies and more comprehensive environmental impact considerations of the energy supply system. Due to the inherent volatility of renewable power generation technologies, gas turbines as dispatchable technology must be considered to maintain grid stability. As a potentially CO₂-free energy carrier, H₂ and NH₃ are promising fuels for future gas-based power generation. However, H₂ and NH₃ combustion is associated with significant NO_x emissions, so measures such exhaust aftertreatment with a selective catalytic reduction (SCR) reactor are required to comply with regulations.

In this study, a physical-based gas turbine performance model and an emission calculation tool are used to quantify the emissions all CH₄, H₂ and NH₃ operation. The gas turbine performance model is calibrated to represent a state-of-the-art industrial gas turbine using publicly available performance and emission data. The exhaust aftertreatment model represents a medium-temperature SCR and uses a novel surface reaction mechanism calibrated with operational data from the literature. The SCR is designed to enable regulatory emission compliant operation in all load-points. Furthermore, the NOx conversion performance at variable load is evaluated for off-design operation. The load flexible emission formation is used to holistically assess the SCR requirements and emission footprint of CH₄/H₂/NH₃ gas turbine power plants.

Presenting Author: Christian Gossrau RWTH Aachen University

Presenting Author Biography: Research associate at RWTH Aachen University for more than 4 years working on various GT related topics: simplified modeling of combustion and emission formation, emission footprint, exhaust aftertreatment, fuel pre-treatment, future operational scenario definition

Authors:

Christian Gossrau RWTH Aachen University
Manfred Wirsum RWTH Aachen University