A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins

Akhlaghi, Yousef Golizadeh; Бадией, Алиреза; Zhao, Xudong; Aslansefat, Koorosh; Xiao, Xin; Shittu, Samson; Ma, Xiaoli

doi:10.1016/j.enconman.2020.112772

Cited by 30 publications

(18 citation statements)

References 40 publications

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“…Other studies by Moshari and Heidarnejad [23], Akhlaghi et al [39], [22], Riangvilaikul [20], [26], and Jradi et al [27] all performed some sort of numerical modelling exercise in IECs and validated their findings through comparison with experimental data and other models.…”

Section: Modelling Dpcs: Advantages Limits and The Gapmentioning

confidence: 94%

“…Xu et al [4] performed an experimental analysis of a DPC prototype employing a super performance wet material, intermittent water supply configuration and a corrugated HMX to find wet-bulb and dew-point effectiveness of up to 114% and 75%, respectively, and a record-high COP of 52.5. The performance of same prototype DPC was then examined by Akhlaghi et al [22] under four different climatic conditions, namely humid continental, Mediterranean, subtropical hot desert, and hot desert climates. Annual energy savings of up to 90% was achieved compared to the conventional MVCs.…”

Section: Dew Point Coolersmentioning

confidence: 99%

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Can whole building energy models outperform numerical models, when forecasting performance of indirect evaporative cooling systems?

Бадией

Akhlaghi

Zhao

et al. 2020

Energy Conversion and Management

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This paper presents a whole building energy modelling work incorporating a state-of-the-art indirect evaporative cooling system. The model is calibrated and validated with real-life empirical data, and is capable of representing actual performance of the system with high reliability. The investigated system is a novel super-performance Dew Point Cooler (DPC) with a guideless and corrugated Heat and Mass Exchanger (HMX). The DPC is modelled as part of the whole building energy model through detailed description of system and building characteristics at source code level. The developed model has been simulated in all different climates that an Indirect Evaporative Cooling (IEC) system can be operated, namely: subtropical hot desert, humid continental, Mediterranean, and hot desert climates. The performance predictions has been tested against experiments and numerical model of the same system, and a detailed investigation of modelling approaches to efficiently and effectively model aforementioned systems has been provided.The calibrated and empirically validated whole building energy model predicted the key performance parameters of the dew point evaporative cooling system with mean error values limited to 4.1%. The highest COP values recorded by experiments and whole building energy simulations were 51.1 and 49, respectively. The whole building energy model proved to better predict the performance of dew point evaporative cooler, when compared to numerical models, by incorporating the building-side parameters into the model. This modelling work paves the way toward detailed investigation of the advanced cooling systems within building context to achieve optimised performance of the system in wide range of buildings and operating conditions.

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Section: Modelling Dpcs: Advantages Limits and The Gapmentioning

confidence: 94%

Section: Dew Point Coolersmentioning

confidence: 99%

Can whole building energy models outperform numerical models, when forecasting performance of indirect evaporative cooling systems?

Бадией

Akhlaghi

Zhao

et al. 2020

Energy Conversion and Management

Self Cite

View full text Add to dashboard Cite

show abstract

“…Some authors presented a novel optimization approach in the field of dew point evaporative cooling. Akhlaghi et al [42] developed digital twins using a feedforward neural network (FFNN) and multi objective evolutionary optimization (MOEO) using a genetic algorithm (GA) for a counter-flow dew point cooler with a novel guideless irregular dew point cooler (GIDPC). They indicated optimum conditions of the system for different climates and established system annual electricity consumption and COP, and obtained improvements of the system.…”

Section: Optimization the Dpiecmentioning

confidence: 99%

Review of Dew Point Evaporative Cooling Technology for Air Conditioning Applications

Pacak

Worek

2021

Applied Sciences

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Indirect evaporative cooling has the potential to significantly improve the natural environment. It follows from a significant reduction in electricity consumption in the hot period, and hence lower operating costs for cooling systems. This paper presents the current state of knowledge and research directions on dew point indirect evaporative cooling. It was found that researchers focus on the development of dew point indirect evaporative coolers (DPIEC) by improving its design, geometry, water distribution, and new porous materials implementation. To evaluate the performance of new types of DPIEC, different methods are used by the scientists. Finally, optimized devices are studied in terms of their performance in different systems, like hybrid and desiccant systems, considering different climate conditions. Potential directions of development of evaporative technologies were indicated, such as increasing the coefficient of performance of solid desiccant evaporative cooling systems, developing novel geometry, and efficient water distribution, including development of porous materials.

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“…However, the model was unable to consider the design parameters in the produced equations. In addition, in another study [27], the Feedforward Neural Network (FFNN) and Genetic Algorithm (GA) are developed for the GIDPC to predict the performance of the optimized system in diverse climates.…”

Section: Introductionmentioning

confidence: 99%

Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050

et al. 2021

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A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins

Cited by 30 publications

References 40 publications

Can whole building energy models outperform numerical models, when forecasting performance of indirect evaporative cooling systems?

Can whole building energy models outperform numerical models, when forecasting performance of indirect evaporative cooling systems?

Review of Dew Point Evaporative Cooling Technology for Air Conditioning Applications

Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050

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