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Venetian blinds are widely used to improve the performance of window systems, while their energy-saving potentials vary with different materials. This paper aims to undertake a standardized evaluation of the annual energy-saving potential of venetian blinds in residential buildings, and identify the most influential parameters for design optimization. To achieve this goal, nine parameters were chosen to establish venetian blinds models in WINDOW. Then, 9072 shading models were coupled with building models for annual energy consumption simulation in EnergyPlus, where the shading schedule was derived from questionnaires. Further, an experiment was conducted to verify the reliability of the joint simulation between WINDOW and EnergyPlus. Finally, annual energy performance (AEP) was adopted for a standardized energy efficiency evaluation of various venetian blinds products, and the sensitivity analysis of AEP to various parameters was conducted to identify the key parameters. The results indicated that by adjusting the key parameters of the venetian blinds, cooling energy saving can reach 44% and the heating energy saving can be up to 65%. The significant energy saving potential of venetian blinds indicates the prospect and importance of their use in residential buildings.

The MnBi permanent magnetic alloys with high coercivity was prepared by a low-energy ball milling process. The coercivity of the MnBi alloys can be controlled by tuning the particle size and the size distribution of the MnBi alloys powders through the milling process. The size-dependent coercivity of the particles was expressed by a function of Hc = 106.17−0.56·log(D), where the particle size (D) was supposed to be lager than the single-domain size. With an optimized treatment, a room-temperature coercivity of ∼1.9 T was achieved in the MnBi powders. The magnetization curves and micromagnetic analyses indicated that the magnetization process of the MnBi alloys was governed by the coherent magnetization rotation. The hardening mechanism was corresponding to the nucleation process in the anisotropic MnBi powders with refined particle size.

The low temperature phase (LTP) compound of MnBi is a promising, rare-earth metal free, and permanent magnetic material. However, it is difficult to obtain pure LTP MnBi, which results from a peritectic reaction between Mn and Bi atoms. In this study, the microstructural evolution and phase transformation kinetics of MnxBi100-x (x = 50, 55, 60) alloys were systematically investigated. Choosing an appropriate Mn content (Mn55Bi45) was found to promote the formation of the LTP MnBi. The results of the phase transformation kinetics indicated that the nucleation, growth and soft impingement processes are involved in the phase transformation process. In addition, in the initial stage of the LTP phase transformation, it was shown that the diffusional transformation was governed by two- and three-dimensional nucleation and growth, as well as a single mechanism of diffusion-controlled growth, which describes the entire transformation. At the final stage of the phase transformation, diffusion controlled growth, with soft impingement effects, dominates the process. The phase transformation kinetics analysis was confirmed with the X-ray diffraction and scanning electron microscopy results. This work implies that the local activation energy, Ec(α), and local Avrami exponent, n(α), can be applied to characterize the phase transformation behaviors of the LTP MnBi alloy.

To understand rural–urban differences in stressors, this study compared the cognitive and emotional language in geolocated Twitter posts in the United States against survey-reported county-level trends from the Gallup-Sharecare Well-Being Index. Mentions of stress on Twitter can predict population-level trends in stress in both rural (R2=31.6%) and urban (R2=26.7%) communities. While mentions of poor health are limited to only rural areas with low socioeconomic status, higher emotional expression is associated with higher stress across all rural communities. Controlling for socioeconomic status, urban communities reporting higher stress are also more likely to discuss relationships on Twitter. The findings contribute to an understanding of how language use on social media acts as a barometer of the social and cultural differences between regions. The data and stress topics developed in this paper are publicly available and can be accessed at https://osf.io/af8ce/ .

With the climate change and depletion of fossil energy, distributed energy systems (DESs) have attracted widespread attention. In this study, a DES driven by solar, geothermal, aerothermal, natural gas and power grid is constructed with energy conversion devices modeled based on part load performance. A novel operation strategy for the DES is presented considering the complementary characteristics of different energy sources. Besides, a multi-objective nonlinear optimization model for the device capacity is proposed with economic, environmental and energy objectives considered simultaneously. To solve the optimization model, an integrated solution method combining Non-dominated Sorting Genetic Algorithm-II, Technique for Order Preference by Similarity to an Ideal Solution and Shannon entropy approach is developed. A case study of an indoor swimming pool in Changsha city of China is undertaken. Optimal equipment capacity and corresponding energy management strategies of the case are obtained. The final number and capacity of air source heat pump (ASHP) are determined via improving its part load ratio. Additionally, three schemes are set to investigate the effects of constant efficiency/COP of energy conversion devices and operation strategies on the capacity optimization of DESs. Results indicate that constant efficiency/COP of equipment yields an 11.7% drop in annual total cost (ATC), a 10.4% increment in annual total CO2 emission (ATE) and a 12.5% reduction in coefficient of energy performance (CEP). ATC and ATE of the optimal solution acquired under a conventional operation strategy increase by 6.8% and 3.7%, while CEP decreases by 66.9%. This work provides a guidance for the future application of DESs.