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PhD Thesis - Energy Systems Research Unit - University of Strathclyde

PhD Thesis - Energy Systems Research Unit - University of Strathclyde

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The performance <strong>of</strong> a steam turbine is not significantly affected by ambient<br />

temperature or altitude and, therefore, does not require derating [18].<br />

Otherwise, steam turbine performance may be modelled in the same way as an<br />

ICE, as described in section 5.2, using percentage part load efficiency values as<br />

the measure <strong>of</strong> performance. Again, as with an ICE, while the efficiency <strong>of</strong> the<br />

steam turbine drops with partial loading, the amount <strong>of</strong> waste heat produced<br />

increases proportionally, increasing the heat to electricity ratio, and keeping the<br />

overall efficiency (heat plus electricity) fairly level [18].<br />

As the steam turbine uses an external heat source to produce the steam necessary<br />

to turn the turbine, the efficiency <strong>of</strong> the boiler employed to produce the required<br />

heat to raise the necessary steam must be taken into account when calculating<br />

the overall fuel requirement. This is done by calculating the fuel consumption<br />

figure using Equation 5.33, 5.35 or 5.36 as appropriate, multiplying this by 100<br />

and dividing by the percentage boiler efficiency. Due to the external nature <strong>of</strong><br />

the heat source, and fairly slow start-up time, the options to follow heat demand,<br />

electricity demand or both are not appropriate for steam turbines, and are,<br />

therefore, not available. Again, multiple turbine sets may be used, and these are<br />

subject to a minimum recommended load. The output from this procedure is a<br />

graph <strong>of</strong> percentage turbine loading, and fuel use is calculated and dealt with as<br />

before in section 5.2. An example <strong>of</strong> the definition window for a steam turbine<br />

is given in Appendix 1, Figure A1.35.<br />

5.6 Fuel Cell Model<br />

Various models exist to predict the performance <strong>of</strong> fuel cells [19,20,21], but<br />

these rely on large volumes <strong>of</strong> information that are specific to a particular fuel<br />

cell design. To allow development <strong>of</strong> a generic model that can be easily applied<br />

to the different fuel cell types, manufacturers’ performance data will again be<br />

used. This will allow the performance <strong>of</strong> any fuel cell type (e.g. Phosphoric<br />

Acid Fuel Cells, Molten Carbonate Fuel Cells) to be simulated under various<br />

load conditions, using the same procedure.<br />

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