Performance enhancement of a cross flow dew point indirect evaporative cooler with circular finned channel geometry

Ali, Muzaffar; Ahmad, Waqas; Sheikh, Nadeem Ahmed; Ali, Hasimah; Kousar, Rubeena; Rashid, Tanzeel ur

doi:10.1016/j.jobe.2020.101980

Cited by 35 publications

(15 citation statements)

References 24 publications

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“…The results which were obtained show that the mean outlet air temperature is +25.5 • C. The wet-bulb effectiveness reached about 86% with COP equal to 4.6 [46]. Aluminum fins, in dry channels, to improve heat transfer were added by Ali et al [47]. The results conclude that cooling capacity of the system could be improved by 18%.…”

Section: Maisotsenko Air Conditioning (Mac)mentioning

confidence: 98%

Overview of the M-Cycle Technology for Air Conditioning and Cooling Applications

2022

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The indirect evaporative cooler (IEC) has excellent potential to replace or improve conventional vapor compression equipment in HVAC and refrigeration applications. This could be achieved by using the M-cycle (dew-point evaporative cooling technology). This thermodynamic concept makes it possible to derive a large amount of energy from the air stream (as latent heat released during water evaporation into the working air stream) and use it for another air stream (product). Its application has also spread to other sectors, such as water desalination and distillation, power plants, or NOx reduction. This paper provides an overview of the M-cycle mainly in air conditioning (MAC, D-MAC, H-MAC) and refrigeration (MCT, M-condenser). Various integrated solutions are described, showing improved effectiveness in terms of the wet-bulb temperature and the dew point. The design features of consolidated solutions are better In terms of the flow distribution, geometry, or volume. Most of the improvements confirm the great potential of the M-cycle to increase the unit or the system efficiency due to lower energy and water consumption.

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Section: Maisotsenko Air Conditioning (Mac)mentioning

confidence: 98%

Overview of the M-Cycle Technology for Air Conditioning and Cooling Applications

2022

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“…It can be inferred that the HX design and directions of the air streams in the IEC system have a significant impact on its effectiveness. Plate and tube HXs and heat pipes have been widely used in IEC [23]. Regarding the air stream direction in plate HX, the counter-flow provides more cooling effectiveness and more system compactness than the cross-flow arrangement [42].…”

Section: Types Of Indirect Evaporative Cooling Systemsmentioning

confidence: 99%

“…IEC has many advantages over DEC, as discussed in the following section. Over the past years, several research studies focused on different HX designs of IEC systems [22,23] and their material [24,25] to enhance the heat and mass transfer processes and improve the overall efficiency. Recently published review papers focused on research papers that discussed different system configurations and optimization [26], hybrid systems and equipment [27], mathematical models of different arrangements [28,29], and performance assessment of IEC systems [13].…”

Section: Introductionmentioning

confidence: 99%

Indirect evaporative cooling for buildings: A comprehensive patents review

Mohammed

El-Morsi

Abdelaziz

2022

Journal of Building Engineering

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“…Dew point temperature (T dew ) is the temperature at which water vapor in the air condenses into water droplets. Accurate estimation of T dew data plays a significant role in the fields of energy utilization [1], thermal energy [2,3] and engineering [4]. T dew is also an essential parameter for studying long-term climate change [5,6].…”

Section: Introductionmentioning

confidence: 99%

Estimating Daily Dew Point Temperature Based on Local and Cross-Station Meteorological Data Using CatBoost Algorithm

Yao¹,

Sun²,

Dong³

2022

Computer Modeling in Engineering &Amp; Sciences

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Accurate estimation of dew point temperature (T dew ) plays a very important role in the fields of water resource management, agricultural engineering, climatology and energy utilization. However, there are few studies on the applicability of local T dew algorithms at regional scales. This study evaluated the performance of a new machine learning algorithm, i.e., gradient boosting on decision trees with categorical features support (CatBoost) to estimate daily T dew using limited local and cross-station meteorological data. The random forests (RF) algorithm was also assessed for comparison. Daily meteorological data from 2016 to 2019, including maximum, minimum and average temperature (T max , T min and T mean ), maximum, minimum and average relative humidity (RH max , RH min and RH mean ), maximum, minimum and average global solar radiation (Rs max , Rs min and Rs mean ) from three weather stations in Hunan of China were used to evaluate the CatBoost and RF algorithms. The results showed that both algorithms achieved satisfactory estimation accuracy at the target stations (on average RMSE = 1.020 • C, R 2 = 0.969, MAE = 0.718 • C and NRMSE = 0.087) in the absence of complete meteorological parameters (with only temperature data as input). The CatBoost algorithm (on average RMSE = 1.900 • C and R 2 = 0.835) was better than the RF algorithm (on average RMSE = 2.214 • C and R 2 = 0.828). The accuracy and stability of the CatBoost and RF algorithms were positively correlated with the number of input parameters, and the three-parameter algorithms achieved higher estimation accuracy than the two-parameter algorithms. The developed methodology is helpful to predict T dew at regional scale.

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Performance enhancement of a cross flow dew point indirect evaporative cooler with circular finned channel geometry

Cited by 35 publications

References 24 publications

Overview of the M-Cycle Technology for Air Conditioning and Cooling Applications

Overview of the M-Cycle Technology for Air Conditioning and Cooling Applications

Indirect evaporative cooling for buildings: A comprehensive patents review

Estimating Daily Dew Point Temperature Based on Local and Cross-Station Meteorological Data Using CatBoost Algorithm

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