| 1. |
- Li, Hailong, 1976-, et al.
(författare)
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Thermo-physical properties of CO2 mixtures and their impacts on CO2 capture, transport and storage : Progress since 2011
- 2019
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Ingår i: Applied Energy. - : Elsevier BV. - 0306-2619 .- 1872-9118. ; 255
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Tidskriftsartikel (refereegranskat)abstract
- The knowledge of accurate thermo-physical properties is crucial for the development and deployment of CO2 capture, transport and storage (CCS). The progress on the experimental data and theoretical models regarding thermo-physical properties of CO2 mixtures as well as the property impact on the design and operation of different CCS processes has been updated. The newly published experimental data since 2011 have been collected and reviewed based on which the new knowledge gaps regarding measurements have been identified. There have also been some advanced models proposed recently, which have shown good performances. The collected model performances don't show there exist a model that is superior to others; but they still provide a good guideline regarding model selection. However, developing more-complex models as the complexity may not necessarily improve the accuracy when empirical parameters were included and well-tuned. By comparing the importance of the properties and the accuracy of existing models, suggestions were given regarding the development of property models that should be prioritized.
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| 2. |
- Wang, Y., et al.
(författare)
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Energy saving potential of using heat pipes for CPU cooling
- 2018
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Ingår i: Applied Thermal Engineering. - : Elsevier BV. - 1359-4311 .- 1873-5606. ; 143, s. 630-638
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Tidskriftsartikel (refereegranskat)abstract
- Air cooling is the most common cooling solution for central processing units (CPUs). However, the heat dissipation capacity of conventional air-cooled heatsinks is limited because of non-uniform temperature distribution in the base of heatsinks. Embedded heat pipes into the heatsink is an effective method to improve the heat dissipation of the CPU and make the temperature distribution of the heatsink base more uniform. This work studied the cooling performance of the heat pipe embedded heatsinks, including the surface temperature, the average temperature of base, the thermal resistance and the power consumption. The impact of the different arrangements of heat pipes on the temperature distribution was also investigated. Results show that to obtain the same CPU temperature, a lower air velocity was needed for the heatsink with embedded heat pipe at the same heat flux. The minimum thermal resistance of the studied heat pipe embedded heatsinks was 0.15 °C/W, which is lower than that of the reference conventional heatsink, 0.22 °C/W. In addition, the heatsink with H-shape arrangement of embedded heat pipes had the best overall performance, which cooling capacity was increased by 22.5% and the weight of the heatsink was reduced by 30.1% compared with the heatsink without heat pipes. The energy saving potential was also evaluated based on the measured real operating status of CPUs. The dynamic simulation results show that the total fan power consumption can be effectively reduced when using a heat pipe embedded heatsink to replace the conventional heatsink, which can be up to 66.2%.
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| 3. |
- Xiong, R., et al.
(författare)
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Key technologies for electric vehicles
- 2022
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Ingår i: Green Energy and Intelligent Transportation. - : Elsevier B.V.. - 2773-1537. ; 1:2
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Tidskriftsartikel (refereegranskat)
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| 4. |
- Xiong, R., et al.
(författare)
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Neural network and physical enable one sensor to estimate the temperature for all cells in the battery pack
- 2024
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Ingår i: Journal of Energy Storage. - : Elsevier. - 2352-152X .- 2352-1538. ; 80
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Tidskriftsartikel (refereegranskat)abstract
- The performance of lithium-ion batteries (LIBs) is sensitive to the operating temperature, and the design and operation of battery thermal management systems reply on accurate information of LIBs' temperature. This study proposes a data-driven model based on neural network (NN) for estimating the temperature profile of a LIB module. Only one temperature measurement is needed for the battery module, which can assure a low cost. The method has been tested for battery modules consisting of prismatic and cylindrical batteries. In general, a good accuracy can be observed that the root mean square error (RMSE) of esitmated temperatures is less than 0.8 °C regardless of the different operating conditions, ambient temperatures, and heat dissipation conditions.
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