Performance evaluation and multi-objective optimization of a low-temperature CO2 heat pump water heater based on artificial neural network and new economic analysis

Xu, Yingjie; Mao, Chengbin; Huang, Yuangong; Shen, Xi; Xu, Xiaoxiao; Chen, Guangming

doi:10.1016/j.energy.2020.119232

Cited by 44 publications

(18 citation statements)

References 40 publications

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“…At the same time, it also has strong input-output nonlinear mapping ability, is easy to learn and train the relationship between variables that restrict each other, has complex cross-effects and dynamic effects, and has unique functions. Genetic algorithm (GA) and artificial neural network (ANN) are bionic theoretical achievements that apply biological principles to scientific research [11][12][13]. Because of their strong ability to solve and analyze problems, they have attracted the interest and participation of many researchers and engineers in recent years.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm

Cai

Wang²,

Xiong

2021

Computational Intelligence and Neuroscience

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Since the reform and opening up, China’s regional economy has developed rapidly. However, due to different starting points of economic development caused by the traditional distribution of productive forces and the differences in regions, resources, technologies, and policies, the level of economic development in different regions is uneven. Clustering analysis is a data mining method that clusters or classifies entities according to their characteristics and then discovers the whole spatial distribution law of datasets and typical patterns. It is of great significance to classify, compare, and study the economic development level of different regions in order to formulate the regional economic development strategy. In this paper, a self-organizing feature map (SOM) neural network with the hybrid genetic algorithm is used to cluster the differences of regional economic development, the clustering results are evaluated, and the empirical results are good. From this, some meaningful conclusions can be drawn, which can provide reference for the decision-making of coordinating regional economic development.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm

Cai

Wang²,

Xiong

2021

Computational Intelligence and Neuroscience

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“…Air conditioning, refrigeration and heat pump systems have been widely used in the civil, military and industrial fields, for example, the application of heat pump systems in the cold climate of northern China [1,2]. Building energy consumption accounts for 23% of global primary energy and 30% of global electricity.…”

Section: Introductionmentioning

confidence: 99%

Study of Novel Punched-Bionic Impellers for High Efficiency and Homogeneity in PCM Mixing and Other Solid-Liquid Stirs

et al. 2021

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Improvement of stirring performance is one of the primary objectives in solid–liquid mixing processes, such as the preparation of phase change materials (PCMs) for energy saving in refrigeration and heat pump systems. In this paper, three novel impellers are proposed: pitched-blade punched turbine (PBPT), bionic cut blade turbine (BCBT) and bionic cut punched blade turbine (BCPBT). An experimental test was conducted to validate the stirring system model based on the Eulerian–Eulerian method with the kinetic theory of granular flow. Then the performance of the novel impellers was predicted, studied, and compared. The outcomes indicate that a novel impeller, specifically BCPBT, can effectively suspend particles and dramatically reduce power consumption. A better solid–liquid suspension quality was obtained with an aperture diameter of 8 mm and aperture ratio of 13%. Within the range of impeller speeds and liquid viscosity studied in this this paper, higher impeller speeds and more viscous liquids are more conducive to particle dispersion. One of the most important contributions of this work lies in the design of novel impellers, an extent of energy conservation to 17% and efficient mixing was achieved. These results have reference significance for improving the energy efficiency of temperature regulation systems.

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“…At the same time, the COVID-19 pandemic has further raised people's attention on this [1,2]. Building electrical energy accounts for a large proportion of total energy consumption [3,4], and ventilation and air-conditioning systems are important energy-consuming sections, accounting for about 40% of building energy consumption [5]. Fan is an important component of ventilation and air-conditioning system.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Multi-Blade Centrifugal Fan Blade Design for Ventilation and Air-Conditioning System Based on Disturbance CST Function

Zhou

Zhang

Zhang³

et al. 2021

Applied Sciences

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The multi-blade centrifugal fan is commonly used in modern building ventilation and air-conditioning system. However, it does not readily satisfy the increasing demand for energy saving, high efficiency or noise reduction. Its performance is inherently limited by the geometrical structure of single circular arc blades. Q35-type multi-blade centrifugal fan studied as an example by combining the disturbance CST function to parameterize the blades. The optimization parameter change range is confirmed, and test samples are extracted before establishing an RBF proxy model. The NSGA-II algorithm is incorporated, and multi-objective optimization is performed with flow rate and total pressure efficiency as optimization goals. The results show that the fan performance is effectively improved. At the design working point, the air volume of the multi-blade centrifugal fan increases by 1.4 m³/min; at the same time, the total pressure efficiency increases by 3.1%, and the noise is reduced by 1.12 dB, applying the proposed design. The obtained higher fan efficiency can effectively improve performance of the whole ventilation and air-conditioning system. This novel optimization method also has relatively few parameters, which makes it potentially valuable for designing multi-wing centrifugal and other types of fans, providing a new idea for energy saving and emission reduction design of fan.

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Performance evaluation and multi-objective optimization of a low-temperature CO2 heat pump water heater based on artificial neural network and new economic analysis

Cited by 44 publications

References 40 publications

[Retracted] Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm

[Retracted] Difference Analysis of Regional Economic Development Based on the SOM Neural Network with the Hybrid Genetic Algorithm

Study of Novel Punched-Bionic Impellers for High Efficiency and Homogeneity in PCM Mixing and Other Solid-Liquid Stirs

Optimization of Multi-Blade Centrifugal Fan Blade Design for Ventilation and Air-Conditioning System Based on Disturbance CST Function

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