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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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might be proprietary), or may require tests to be carried out on the specific<br />

engine being considered. Also, the complexity and variety <strong>of</strong> designs available<br />

would make it difficult to create a generic model for a wide variety <strong>of</strong> engines.<br />

Alternatively, the performance <strong>of</strong> an engine can be predicted from actual<br />

performance data quoted by manufacturers, which is already widely used to<br />

predict engine performance under different load and ambient conditions. A<br />

model <strong>of</strong> this type would be more generally useful and applicable, as it would<br />

use readily available manufacturers’ data, and it could also be easily applied to<br />

other engine types and new technologies as they arise. An example <strong>of</strong> this<br />

would be the Proe Afterburning Ericsson Engine [8], which is a multi-fuelled<br />

engine that uses the Ericsson thermodynamic cycle rather than the Diesel or<br />

Otto cycles, and may also be modelled using the generic approach outlined in<br />

this section.<br />

The existing diesel generator model in MERIT has been enhanced to allow<br />

consideration <strong>of</strong> different engine and turbine types, part load performance (<strong>of</strong><br />

efficiency and heat to electricity ratio), minimum load, the possible use <strong>of</strong><br />

multiple engine sets to allow more efficient performance (i.e. only one operating<br />

at low load times), derating for altitude and ambient temperature, and the<br />

possibility <strong>of</strong> using different types <strong>of</strong> fuel. The ability to follow heat and/or<br />

electricity demand, run at a constant load, or run at specified varying loads at<br />

different times <strong>of</strong> the day and year, has also been added. To allow derating, the<br />

altitude <strong>of</strong> the site is input with the climate data selection.<br />

This section describes the algorithms used to model the behaviour <strong>of</strong> diesel and<br />

internal combustion engines, and the relevant system definition windows are<br />

shown in Appendix 1, Figures A1.30 and A1.31. Figure A1.32 shows the<br />

window in which different percentage loads can be defined for different times <strong>of</strong><br />

the day and year. The input to this section from the matching stage, for each<br />

timestep, is the appropriate fuel availability, and the residual electricity and heat<br />

demands. The output <strong>of</strong> this section to the matching stage is a graph <strong>of</strong><br />

percentage engine loading with time. Overall fuel consumption information is<br />

also given.<br />

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