Published: Jan. 1, 2023

Air balancing, a critical process in HVAC systems, optimizes airflow distribution to enhance indoor environmental comfort. This research highlights the inadequacies of existing air balancing techniques, particularly under non-fully developed flow conditions within ducts. Traditional models, such as Darcy-Weisbach formula, assume fully flows, overlooking complex interactions present when local fittings coupled. To mitigate this, study utilized computational fluid dynamics (CFD) scrutinize resistance disparities interconnected elbows, not accounted for traditional models assuming scenarios. Consequently, we introduced an innovative calculation methodology, tailored these specific conditions. Moreover, established refined pressure balance model, considering adjacent influences, accurately determine damper's loss corresponding targeted each terminal zone. Due inherent constraints, actual damper attributes can significantly differ from standard handbook specifications, causing discrepancies degree adjustments derived using linear interpolation methods. Addressing innovated prediction technique adjustments, employing Gaussian Process Regression (GPR). approach harnesses differential across and rate forecast requisite adjustments. Empirical validation attests method's precision, with relative errors post tested branches limited 4.66%, 8.09%, 7.15%, 7.05%, demonstrating efficacy reliability proposed improvements strategies.

Language: Английский