Thermo-economics analysis and evolutionary-based optimisation of a novel multi-generation waste heat recovery in the cement factory

Abstract

Cement factories are amongst the most energy consuming industries in the world. In view of the fact that almost a half input of energy is lost in clinker product, makes the waste heat recovery (WHR) system more interesting. In this paper, a new three-source multi generation flash WHR cycle is presented. Ammonia-water absorber chiller part of the cycle generates cooling load from turbine exhaust fluid and the residual heat is utilised in a heating system. Exergoeconomic analysis is also done to determinate cost rate of the power. To determine the optimal state of the system, the common evolutionary-based method, genetic algorithm, have been employed with aim of multi objective optimisation. Eventually, the results of a case study shows 6.45 MW power, 2.91 MW cooling and 2.88 MW heating are generated. Take one point of optimum Pareto front for instance, it has 55.6% energy and 73.9% exergy efficiencies.