Simulation-driven optimization of direct solar dryers for household use: A combined CFD and ANN-GA approach

บทความในวารสาร


ผู้เขียน/บรรณาธิการ


กลุ่มสาขาการวิจัยเชิงกลยุทธ์


รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่งLoksupapaiboon, K.; Kamma, P.; Phromjan, J.; Phakdee, S.; Promtong, M.; Priyadumkol, J.; Suvanjumrat, C.

ผู้เผยแพร่Elsevier

ปีที่เผยแพร่ (ค.ศ.)2025

Volume number67

หน้าแรก104112

นอก2451-9049

eISSN2451-9049

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-105016531500&doi=10.1016%2Fj.tsep.2025.104112&partnerID=40&md5=c7281bfddd3d81e19d590d83c0515191

ภาษาEnglish-Great Britain (EN-GB)


ดูบนเว็บไซต์ของสำนักพิมพ์


บทคัดย่อ

This study introduces a novel, integrated optimization framework for domestic solar dryers that uniquely combines computational fluid dynamics (CFD), artificial neural networks (ANN), and genetic algorithms (GA) to achieve superior thermal uniformity and enhanced drying performance. Unlike conventional trial-and-error or replication-based designs—which often result in non-uniform temperature fields and inefficient energy usage—this research systematically addresses heat distribution challenges through a data-driven and simulation-validated approach. CFD simulations, conducted using OpenFOAM and validated via no-load experimental testing, revealed non-uniform drying patterns during initial trials with pineapple slices. These findings informed the development of a machine learning model, where a validated CFD dataset (error <7.33 %) was used to train an ANN-GA system. This hybrid model achieved high predictive accuracy (R2 = 0.98) with an average error of only 3.87 %, enabling precise prediction and optimization of dryer performance. The optimized configuration delivered an exceptionally uniform temperature distribution (mean 46.15 °C, SD = 0.07 °C), making a significant advancement over conventional designs. The integration of CFD-based physical modeling with AI-driven optimization constitutes a key innovation of this study, offering a replicable and scalable method for the development of high-efficiency domestic solar drying systems. © 2025 Elsevier Ltd


คำสำคัญ

Artificial IntelligenceComputational Fluid Dynamics (CFD)DomesticOpenFOAMSolar dryer


อัพเดทล่าสุด 2026-10-02 ถึง 00:00