Dynamic Performance Of A Combined Gas Turbine And Air Bottoming Cycle Plant For Off-Shore Applications

As a result of the introduction by the Norwegian government of the CO2 tax for hydrocarbon fuels, a challenging process started aiming at improving the performance of off-shore power systems. An oil and gas platform typically operates in island (stand-alone system) and the power demand is covered by two or more gas turbines. In order to improve the plant performance a bottoming cycle unit can be added to the gas turbine topping module, thus constituting a combined cycle plant. This paper aims at developing and testing numerical models simulating the part-load and dynamic behavior of a novel power system composed by two gas turbines and a combined gas turbine and air bottoming cycle plant. The case of study is the Draugen off-shore oil and gas platform, located in the North Sea, Norway. The normal electricity demand is 19 MW and it is currently covered with two gas turbines generating each 50% of the power demand while the third turbine is on stand-by. During seawater lifting, water injection and oil export the demand increases up to 25 MW. The model of the new power plant proposed in this work is developed in Modelica language using basic components acquired from ThermoPower, a library utilized for power plants modelling. The dynamic model of the gas turbine and the air bottoming cycle turbogenerator includes dynamic equations for the combustion chamber, the shell-and-tube recuperator and the turbine shafts. Turbines are modelled by the Stodola equation and by a correlation between the isentropic efficiency and the non-dimensional flow coefficient. Compressors are modelled using quasi steady-state conditions by scaling the maps of axial compressors employing a similar design point. The recuperator recovering the exhaust heat from the gas turbine is modelled using correlations relating the heat transfer coefficient and the pressure drop at part-load with the mass flow rate. Thermodynamic variables and dynamic metrics such as rise time and frequency undershooting/overshooting are predicted. Considering a load ramp of 0.5 MW/s an undershooting of 4.9% and an overshooting of 3.0% are estimated. The rise time is approximately 30 s. Moreover, findings suggest that decreasing the core weight of the recuperator consents to limit the frequency fluctuations, thus minimizing the risk of failure of the power system.