On-field validation of a seasonal performance calculation method for chillers in buildings

2014 ◽  
Vol 85 ◽  
pp. 62-69 ◽  
Author(s):  
Luigi Schibuola ◽  
Massimiliano Scarpa
Keyword(s):  
Calculation Method ◽  
Field Validation ◽  
Seasonal Performance ◽  
Performance Calculation

scholarly journals Energy based diamond cutting machine performance calculation method used for facing stone extraction

2016 ◽  
Vol 14 (2) ◽  
pp. 18-24
Author(s):  
Gennadiy Daltonovitch Pershin ◽  
◽  
Maxim Sergeevich Ulyakov ◽  
Elena Gennadievna Pshenichnaya ◽  
Bulat Maratovich Gabbasov ◽  
...  
Keyword(s):  
Calculation Method ◽  
Stone Extraction ◽  
Diamond Cutting ◽  
Machine Performance ◽  
Cutting Machine ◽  
Performance Calculation

The Performance Calculation Method of Fouled Axial Flow Compressor Based on the Stage Stacking Method

2014 ◽  
Vol 915-916 ◽  
pp. 301-304
Author(s):  
Hong Xu ◽  
Hua Dong Yang ◽  
Guang Ru Hua
Keyword(s):  
Calculation Method ◽  
Scaling Law ◽  
Axial Flow ◽  
Engine Performance ◽  
Axial Flow Compressor ◽  
Progression Model ◽  
Multi Stage ◽  
Multistage Compressor ◽  
Flow Compressor ◽  
Performance Calculation

Fouling is the most important performance degradation factor, so it is necessary to accurately predict the effect of fouling on engine performance. This paper develops a performance calculation method of fouled multi-stage axial flow compressor based on experiment result and operating data. For multistage compressor, the whole compressor is decomposed into two sections. In this model, the performance of the first section is obtained by stage stacking method by combining scaling law method, linear progression model with traditional stage stacking method. On the other hand, the performance of the second section is calculated by averaged infinitesimal stage method. Finally, the model is successfully applied to predict the 8-stage axial flow compressor.

scholarly journals Vehicle Radiators’ Performance Calculation and Improvement Based on the Coupling of Multi-scale Models Simulations

2014 ◽  
Vol 8 (1) ◽  
pp. 636-642 ◽  
Author(s):  
Liu Shui-Chang ◽  
Li Li-Fu ◽  
Zhang Yong
Keyword(s):  
Flow Field ◽  
Thermal Performance ◽  
Calculation Method ◽  
Cooling Power ◽  
Body Structure ◽  
Multi Scale ◽  
Scale Models ◽  
Core Body ◽  
Side Flow ◽  
Performance Calculation

In simulation of the heat transfer between radiator and air flow field, the adoption of the radiator full-size model containing its core body structure with small feature sizes would require huge storage space and not be economical. In view of this question, based on the coupling of multi-scale models simulations, a calculation method of radiator performance is proposed in this paper the reliability of which is verified by an experiment test. Subsequently, the influence on the radiators’ thermal performance of the layout of the parts in front of the radiators is analyzed. Lastly, the layout of the front parts is modified to enhance the radiators’ thermal performance. The investigation results indicate that: the radiators’ thermal performance calculation method based on simulations coupling of radiator multi-scale models considers the influences of air-side flow field distribution and the core body structure details; the error of the calculating values from the method is less than 5%, and the method is reliable; when the heat source parts in front of the radiators are situated right in front of the rear fan channel, the radiators thermal performance is better; the radiators cooling power increases 19.3kW after layout modification of the front heat resource parts.

scholarly journals The New Performance Calculation Method of Fouled Axial Flow Compressor

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Huadong Yang ◽  
Hong Xu
Keyword(s):  
Calculation Method ◽  
Pressure Ratio ◽  
Scaling Law ◽  
Operating Time ◽  
Axial Flow ◽  
Engine Performance ◽  
Ambient Conditions ◽  
Axial Flow Compressor ◽  
Flow Compressor ◽  
Performance Calculation

Fouling is the most important performance degradation factor, so it is necessary to accurately predict the effect of fouling on engine performance. In the previous research, it is very difficult to accurately model the fouled axial flow compressor. This paper develops a new performance calculation method of fouled multistage axial flow compressor based on experiment result and operating data. For multistage compressor, the whole compressor is decomposed into two sections. The first section includes the first 50% stages which reflect the fouling level, and the second section includes the last 50% stages which are viewed as the clean stage because of less deposits. In this model, the performance of the first section is obtained by combining scaling law method and linear progression model with traditional stage stacking method; simultaneously ambient conditions and engine configurations are considered. On the other hand, the performance of the second section is calculated by averaged infinitesimal stage method which is based on Reynolds’ law of similarity. Finally, the model is successfully applied to predict the 8-stage axial flow compressor and 16-stage LM2500-30 compressor. The change of thermodynamic parameters such as pressure ratio, efficiency with the operating time, and stage number is analyzed in detail.

scholarly journals One Convenient Method to Calculate Performance and Optimize Configuration for Annular Radiator Using Heat Transfer Unit Simulation

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 271 ◽  
Author(s):  
Zhe Xu ◽  
Yingqing Guo ◽  
Huarui Yang ◽  
Haotian Mao ◽  
Zongling Yu ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Pressure Drop ◽  
Calculation Method ◽  
Optimization Method ◽  
Configuration Optimization ◽  
Transfer Unit ◽  
Side Pressure ◽  
Heat Transfer Capacity ◽  
Optimal Configurations ◽  
Performance Calculation

In order to calculate heat transfer capacity and air-side pressure drop of an annular radiator (AR), one performance calculation method was proposed combining heat transfer unit (HTU) simulation and plate-and-fin heat exchanger (PFHX) performance calculation formulas. This method can obtain performance data with no need for meshing AR as a whole, which can be convenient and time-saving, as grid number is reduced in this way. It demonstrates the feasibility of this performance calculation method for engineering applications. In addition, based on the performance calculation method, one configuration optimization method for AR using nondominated sorted genetic algorithm-II (NSGA-II) was also proposed. Fin height (FH) and number of fins in circumferential direction (NFCD) were optimized to maximize heat transfer capacity and minimize air-side pressure drop. Three optimal configurations were obtained from the Pareto optimal points. The heat transfer capacity of the optimal configurations increased by 22.65% on average compared with the original configuration, while the air-side pressure drop decreased by 33.99% on average. It indicates that this configuration optimization method is valid and can provide a significant guidance for AR design.

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