Random Forest Regression Applied to Heat Exchanger Fouling

Elena Nakamura, Shakil Okafor, Anika Sen

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2025.4901.017

1. Introduction

The interplay between heat exchanger fouling and long-term reliability in flood-prone deltas has received comparatively little systematic attention. Boundary conditions were derived from in-situ surveys of flood-prone deltas. Sensitivity analysis showed that heat exchanger fouling accounted for most of the output variability. The framework can inform both new construction and the retrofitting of existing assets.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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