Optimization for CHP and CCHP decision-making

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 perfor-mance) 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”).