Paper Conference

Proceedings of Building Simulation 2011: 12th Conference of IBPSA


Optimisation for CHP and CCHP decision-making

Ralph Evins, Philip Pointer, Ravi Vaidyanathan

Abstract: Ralph Evins¹,², Philip Pointer¹, Ravi Vaidyanathan² ¹Buro Happold, 17 Newman Street, London, W1T 1PD, UK. ²University of Bristol, Tyndall Avenue, Bristol, BS8 1TH, UK. May 23, 2011 Electricity out E , CF Electricity demand 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 in grid Electricity in E , CF in grid Gas in G G , CF E CHP 1 1 Xelec, Xheat H 1 Electric chiller Xchiller E C sup elec Cooling demand C sup analysis of plant operation (including part-load performance) and provides guidance regarding applicability, sizing and phasing of plant. in gas G CHP 2 ² Xelec, Xheat H 2 Gas boiler Absorption chiller Xabs C chp Thermal demand H A multi-objective genetic algorithm has been used to optimise a set of possible configurations. This G boiler Xboiler H gas Thermal store V, L sup 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”).
Pages: 1335 - 1342