Multi-objective analysis of an influence of a brine mineralization on an optimal evaporation temperature in ORC power plant

Marcin Jankowski,Aleksandra Borsukiewicz,Sławomir Wiśniewski

doi:10.1051/e3sconf/20187001005

Marcin Jankowski, Aleksandra Borsukiewicz + Show 1 more

Open Access

https://doi.org/10.1051/e3sconf/20187001005

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Abstract

The fact that Organic Rankine cycle system is very promising technology in terms of electricity production using low grade heat sources, necessitates constant research in order to determine the best cycle configuration or choose the most suitable working fluid for certain application. In this paper, multi-objective optimization (MOO) approach has been applied in order to conduct an analysis that is to resolve if there is an influence of a mineralization of a geothermal water on an optimal evaporation temperature in ORC power plant with R1234yf as the working fluid.

Highlights

Organic Rankine Cycle system (ORC) is constantly developing technology in past several decades
Roy et al [4] carried out performance analysis of an ORC with superheating under different heat source temperature conditions using so called availability ratio Ф, which is defined as the ratio of the available energy to the total energy obtained from the thermal source
The changes in heat flux Q1 affect heat fluxes transfered in preaheater, evaporator and superheater (see equations (6),(7),(8)), since the enegy balance equation must be conserved, decreasing values of Q1lead to the less values of AVG

Summary

Introduction

Organic Rankine Cycle system (ORC) is constantly developing technology in past several decades. The main advantage of such systems is the availability of effective conversion low grade heat into power. In view of the above advantages, a lot of research is still being conducted in order to ensure the most efficient work of designed ORC system. These studies are taking into account different technical and ecomomic performance indicators, called objective functions, which are to be minimized or maximized. Shengjun et al [3] concucted thermoeconomic optimization of subcritical ORC and transcritical power cycle system for low temperature geothermal power generation using several objective functions: ratio of heat transfer area and net power output, known as APR parameter, or levelized energy cost LEC. One of the applied objective function was so called sustainability index SI, which is used in this paper

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