Modeling NaOH Solutions for Efficient Absorption Cooling

What is it about?

To help reduce fossil fuel use and emissions from traditional electric air conditioning, absorption systems have emerged as an economical and eco-friendly alternative. However, these systems face challenges, such as the crystallization of the absorbent when its concentration exceeds saturation. Sodium hydroxide (NaOH) in water is a promising working fluid for such systems due to its favorable properties. This study presents, for the first time, two new mathematical correlations that accurately predict NaOH concentration and refractive index in aqueous solutions, which are crucial for efficient operation. Based on experimental data collected from NaOH-water mixtures with concentrations ranging from 20% to 50% and temperatures between 10°C and 60°C, the proposed cubic regression models achieved very high accuracy (R² values of 0.99704 and 0.99918). These reliable correlations could enhance the monitoring and control of absorption systems, particularly for concentrations between 25% and 45%, thereby helping to prevent crystallization and optimize performance.

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Photo by Prateek Keshari on Unsplash

Photo by Prateek Keshari on Unsplash

Why is it important?

By providing accurate mathematical correlations to predict NaOH concentration and refractive index, the study helps prevent one of the main operational issues—crystallization of the absorbent, which can damage equipment and reduce system performance. This advancement supports the broader goal of reducing reliance on fossil fuels and cutting greenhouse gas emissions by improving the viability of cleaner, thermally driven cooling technologies. In essence, it strengthens the foundation for developing more sustainable and cost-effective climate control solutions.

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