Abstract

Shell and Tube Heat Exchangers (STHEs) plays a crucial role in an effective design of Organic Rankine Cycle (ORC) power plants.The main aim of this research work is to design a cost-effective ORC in order to exploit low to medium temperature geothermal fluid or low grade industrial waste heat. In this research work, modified Kinetic Gas Molecule Optimization (KGMO) algorithm was developed forfinding the optimized parameter settings of the power plant. In modified KGMO algorithm, feedback learning stage was included for improving the fitness of individual worst particles. In addition, the proposed optimization algorithm was tested on two dissimilar fluids such asR245fa and R134a in order to show the effectiveness of proposed scheme. The experimental investigation showed that the proposed scheme effectively improved the heat exchanger performance as related to the existing schemes.The enhancement factor of proposed scheme was 2.8063 for R245fa fluid and 1.9346 for R134a fluid, which was better compared to the existing schemes; KGMO and Bell-Delaware method.

Highlights

  • In recent times, world’s electricity generation mainlybased onconventional fossil and nuclear energy sources

  • The STHEs is combined with Organic Rankine Cycle (ORC) for preventing liquid flow inside the tubes to mix with the fluids outside the tubes

  • The parameters considered in the modified Kinetic Gas Molecule Optimization (KGMO) algorithm are heat transfer coefficient and correlation factors such as baffle cut, unequal baffle spacing, bundle bypass, laminar flow, and baffle leakage

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Summary

Introduction

World’s electricity generation mainlybased onconventional fossil and nuclear energy sources. Majority of the electricity supply is generated from fossil fuels based thermal power plants using coal, oil and natural gas [1,2]. These energy sources are facing numerous issues like increasing prices, over dependence on fewer countries thosehave fossil fuel supplies, and concerns over change in climatic conditions [3]. The renewable energy generation systems like geothermal power plants are gaining importance due to the environmental issues and limited resources. Many research works are done to improve the electricity production efficiency in ORCs by optimizing the cycle parameters like pressures, temperatures and mass flow rates [10,11]

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