Application of the genetic algorithm of optimisation of large solar hot water system

摘要

An implementation of the genetic algorithm in as design support tool for (large) solar hot water systems is described. The tool calculates the yield and the costs of solar hot water systems based on technical and financial data of the system components. The genetic algorithm allows for optimisation of separate variables such as the collector type, the number of collectors, the heat storage mass and the collector heat exchanger area. Optimisation can be focussed on , for example, payback time and CO)2 emission reduction. Constraints such as maximum initial costs and installation space are taken into account.