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PhD Thesis - Energy Systems Research Unit - University of Strathclyde

PhD Thesis - Energy Systems Research Unit - University of Strathclyde

PhD Thesis - Energy Systems Research Unit - University of Strathclyde

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investigate how a residential micro-trigeneration system would perform underrealistic dynamic operating conditions and subject to different operational scenariosincluding increased residential energy-efficiency, different occupancy levels anddifferent plant configurations. Finally, the analysis in addition to including athorough analysis <strong>of</strong> the energetic and environmental performance <strong>of</strong> the differentscenarios being proposed also includes an in-depth analysis <strong>of</strong> different financialscenarios.1.4.2 The methodology adopted - An overviewThe research presented in this thesis makes use <strong>of</strong> the whole building simulation toolESP-r [61] to simulate the performance <strong>of</strong> a grid-connected micro-trigenerationsystem under a number <strong>of</strong> varying operating conditions. The system was modelled torepresent a micro-trigeneration system supplying both the electrical and the HVAC(heating, ventilation and air conditioning) demand <strong>of</strong> a multi-family residentialbuilding in the Mediterranean island <strong>of</strong> Malta. Given its location in the middle <strong>of</strong> theMediterranean sea, Malta is a good example <strong>of</strong> a sub-tropical Csa Köppen ClimateClassification (moderate rainy winters and hot dry summers) [62], typical not only <strong>of</strong>substantial parts <strong>of</strong> southern Europe, but also parts <strong>of</strong> North Africa and parts <strong>of</strong> themiddle-east overlooking the Mediterranean, where micro-trigeneration couldpossibly have a large impact.A number <strong>of</strong> operating conditions were selected (this is explained in further detail inSection 1.4.2.1) and for each <strong>of</strong> these, a number <strong>of</strong> scenarios were created, either bydirectly changing the specific parameters <strong>of</strong> the ESP-r model or else through postprocessing<strong>of</strong> the data obtained from the simulations. The combineddeterministic/sensitivity approach discussed previously was then used to assess theperformance <strong>of</strong> the trigeneration system.Each individual scenario was simulated for a whole year, however to betterunderstand the seasonal performance <strong>of</strong> the micro-trigeneration system, thesimulations were sub-divided into three distinct seasons, the heating season (mid-December to mid-March), the cooling season (June to September) and the remaining16

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