Optimizing Heat Exchanger Performance and Thermal Efficiency Using Different Fluid Blends in Power Plants

热交换器 材料科学 热的 功率(物理) 环境科学 工艺工程 核工程 石油工程 机械 机械工程 热力学 工程类 物理
作者
Kulandaivel Duraisamy,Ramasubbu Narasimmalu
出处
期刊:Heat Transfer - Japanese Research [Wiley]
标识
DOI:10.1002/htj.70067
摘要

ABSTRACT Heat exchangers are essential for power plant energy transfer process optimization because they ensure that heat energy is transferred between materials efficiently. The challenge is to use various fluid blends to increase power plant heat exchanger performance and thermal efficiency. It seeks to solve issues including fluid compatibility and system complexity while improving heat transport, lowering energy consumption, and optimizing plant efficiency. The objectives include determining and selecting the optimal fluid mixes for heat exchangers, improving thermal efficiency, reducing energy consumption, ensuring compatibility with system components, maximizing power plant performance, and promoting sustainability. Power plant heat exchanger performance can be maximized by choosing fluid blends with optimal thermal characteristics, such as high thermal conductivity and low viscosity. The first step in the procedure is to analyze important properties of different fluid mixtures, such as heat capacity, flow behavior, and stability. After selection, the heat exchanger is designed and optimized to maximize energy efficiency by adjusting materials, size, and fluid dynamics. The chosen blends are then integrated into the plant's infrastructure, ensuring compatibility with existing systems. Performance testing and calibration ensure optimal heat transfer, minimizing energy loss and enhancing thermal efficiency, ultimately reducing operational costs and improving sustainability in power plant operations. Findings show that ammonia (1800 W/m²·K) provides the highest heat transfer, while Oil (1000 W/m²·K, 20.0 mPa·s viscosity) has the lowest. Ethylene Glycol (1300 W/m²·K) and Water‐Glycol mix (1100 W/m²·K) offer moderate performance and are implemented in Python Software. Advanced fluid blends, nanofluids, and AI‐based optimization strategies can all be investigated in future studies to improve heat exchanger performance even further while lowering emissions, energy use, and power plant operations’ sustainability.
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