Optimizing Heat Exchange Efficiency in Brine-To-Fluid Systems Using Computational Modeling and Data Analysis

Introduction: Using thermal energy from natural water bodies, the paper presents a sustainable heating solution. It draws attention to the drawbacks of conventional systems and offers a closed-loop heat exchange system with a non-corrosive brine solution for increased effectiveness and reduced environmental impact. Objectives: The primary objective is to design and optimize a high-performance, environmentally friendly heat exchange system for home heating. It seeks to lower energy use, improve indoor temperature control, and incorporate smart technologies for predictive maintenance and automation. Methods: Brine property optimization, fluid dynamics simulations, and thermal modeling are used to analyze the system design. Different piping and insulation configurations are tested for performance evaluation, and machine learning algorithms are used to predict energy efficiency. Results: The suggested system showed a 20–30% decrease in energy consumption and a 10–15% increase in thermal efficiency. It reduced carbon emissions by 40%, enhanced heat retention, and kept indoor temperatures steady. Conclusions: The study concludes that a closed-loop, brine-based heating system is a viable, economical, and sustainable substitute for traditional techniques. It also has the potential to be intelligently integrated and scaled to fit a variety of residential settings.