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On the Multivariate Regression Modeling for Performance Prediction of Dew-point Evaporative Desalination System

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概要 Desalination is a standalone solution to extract the water beyond the natural water hydrological cycle aiming for extracting freshwater that mitigates the water supply-demand gap. The present study fo...cused to develop a multivariate regression model (MRM) for performance prediction of the dewpoint evaporative desalination (DPD) system in accordance with the climatic conditions of Pakistan. For doing so, experimental results of the DPD system were collected from the literature, and developed MRM models considering both two-stage and three-stage DPD systems. The developed models were then used to predict specific energy consumption (SEC) and daily water production (DWP). For the two-stage configuration, root means square error (RMSE) was found at 0.088 and 0.004 for SEC and DWP, whereas, in the three-stage configuration, RMSE was observed at 0.074 and 0.006, respectively. In Karachi and Gwadar climatic scenario, the DPD system have potential to produce an average DWP of 0.7237 m3/day/m3/sec. According to Köppen–Geiger climate classification, arid (Bwk), desert climate (Bwh), semi-arid (BSh), and humid subtropical region (Cwa) are the promising localities to drive and DPD system.続きを見る

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登録日 2022.12.02
更新日 2023.12.22

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