Developing and testing a generic micro-combined heat and power model for simulations of dwellings and highly distributed power systems
Proceedings of the Institution of mechanical engineers. Part A, journal of power and energy
2008) Developing and testing a generic micro-combined heat and power model for simulations of dwellings and highly distributed power systems. ABSTRACT This paper elaborates an approach to the modelling of domestic micro combined heat and power (µ-CHP) using a building simulation tool that can provide a detailed picture of the environmental performance of both the µ-CHP heating system and the dwelling it serves. The approach can also provide useful data for the modelling of highly distributed
... er systems. However, at the commencement of the work no µ-CHP device model that was compatible with a building simulation tool was available. The development of such a model is described along with its calibration and verification. The simulation tool with the device model was then applied to the analysis of a dwelling with a Stirling engine-based heating system. Different levels of thermal insulation and occupancy types were modelled. The energy and environmental performance of the µ-CHP device was quantified for each case; additionally, the potential for its participation in the control and operation of a highly distributed power system (HDPS) was assessed. Analysis of the simulation results indicated that the parasitic losses associated with the µ-CHP system balance of plant reduced the overall heating system efficiency by up to 40%. Performance deteriorated with increasing levels insulation in the dwelling, resulting in reduced thermal efficiency and increased cycling, though overall fuel use was reduced. The analysis also indicated that in the device was generally available to participate in HDPS control for above 90% of the simulation time. The potential length of participation time ranged from 1 to 800+ minutes and depended upon the state of the µ-CHP system thermal buffer and prevailing heat loads. Probabilities for different participation times and modes were calculated.