OPTIMISATION FOR CHP AND CCHP DECISION-MAKING

2011 
We present a new analysis and optimisation procedure to aid decision-making regarding Combined Heat and Power (CHP) and Combined Cooling, Heat and Power (CCHP) installations. Our holistic model incorporates analysis of plant operation (including part-load performance) and provides guidance regarding applicability, sizing and phasing of plant. A multi-objective genetic algorithm has been used to optimise a set of possible configurations. This produces a “trade-off front” of solutions. The outputs are reported for a case study. Additionally, a wide range of scenarios have been optimised and the outputs examined graphically to derive innovative design guidelines (a process known as “innovization”).
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