The Improvement of Motor Cooling Through Stator Profile Optimization using CFD Analysis in Hermetic Scroll Compressors

With the increased pressure of cost, hermetic compressor sizing become an important part of the design optimization process, while maintain the same performance level in the same time. Hermetic compressor motor design also face the same challenge. However, reducing motor size for same compressor capacity will increase the motor power density, with the same motor cooling design as before, motor running temperature will be increased and this affect both motor life and reliability as well as passing UL certification requirement for compressors using OLP ( internal overload protector). Hermetic motor cooling improvement using thermal modelling has been investigated before by using thermal network method, with limited accuracy since this do not taken all thermal correlation between motor and compressors. (refer to Purdue paper: thermal modelling ro the motor in semi-hermetic screw refrigeration compressor under part load conditions) However, the real situation in terms of thermal and fluid distribution which affect motor cooling inside the compressor in much more complicated than a pure thermal lumped circuit can represent. With the usage of fluid and thermal coupled simulation method today, we can simulate and understand more accurately the correlation between motor and compressor heat transfer and fluid distribution to optimize motor cooling channel, both in static and dynamic stage, and keep motor temperature under the accepted level while main a good flow for the overall compressor performance. In this paper, different geometry of stator outer diameter profiles are investigated, to balance between the motor efficiency impacts versus the motor temperature increase, compressor and conclude the optimization in terms of stator outer profile for the compressor structure discussed in this paper. Motor efficiency results are calculated and also tested, motor cooling optimization also calculated and tested inside compressor. From the research work done here, we can see that by using CFD tool (ANSYS), compressor motor design engineers can find the optimal stator lamination design, and understand the biggest influence factor to motor cooling, but not important for motor electromagnetic design and performance. In future, if the design concentrated on the important factors, and optimize the motor cooling, compressor design in terms of sizing and cooling correlation would be well balanced between cost and performance

Mean-variance hybrid portfolio optimization with quantile-based risk measure

This paper addresses the importance of incorporating various risk measures in portfolio management and proposes a dynamic hybrid portfolio optimization model that combines the spectral risk measure and the Value-at-Risk in the mean-variance formulation. By utilizing the quantile optimization technique and martingale representation, we offer a solution framework for these issues and also develop a closed-form portfolio policy when all market parameters are deterministic. Our hybrid model outperforms the classical continuous-time mean-variance portfolio policy by allocating a higher position of the risky asset in favorable market states and a less risky asset in unfavorable market states. This desirable property leads to promising numerical experiment results, including improved Sortino ratio and reduced downside risk compared to the benchmark models

Spatio-vertical characterization of the BTEXS group of VOCs in Chinese agricultural soils

Ubiquitous contamination of the BTEXS (benzene, toluene, ethylbenzene, xylene, and styrene) group in soils is a significant concern for ecological safety. However, comprehensive spatio-vertical survey of the BTEXS group on a national scale is rare to date. Using a static headspace gas chromatography–mass spectrometry method (HS-GCMS), this study performed a quantitative analysis of BTEXS levels in soils from Chinese rural areas in 2013 and 2016. The median ∑BTEXS concentrations in surface soils in 2013 and 2016 were 37.5 and 34.4 ng g^(−1) dry weight, respectively. Toluene was the dominant pollutant, accounting for approximately 41.6% and 32.1% of the total levels. BTEXS contamination was higher in Shanxi province, Northeast China, and Yunnan-Guizhou Plateau compared to the other regions. Vertically, toluene, m,p′-xylene and o′-xylene concentrations were significantly higher in the top soil layer (0–15 cm) and decreased significantly with increasing soil depth (p < 0.05). Higher soil organic matter was significantly associated with higher BTEXS concentrations of sampling site. BTEXS was also enhanced at sites with higher elevations and lower temperature due to global distillation effects. The findings of this study could help decision-makers to protect against BTEXS contamination in rural areas. These findings provide a basis for further study of the mechanism of BTEXS migration and transport in large-scale environment