Applied Mechanics and Materials
Vols. 744-746
Vols. 744-746
Applied Mechanics and Materials
Vol. 743
Vol. 743
Applied Mechanics and Materials
Vol. 742
Vol. 742
Applied Mechanics and Materials
Vol. 741
Vol. 741
Applied Mechanics and Materials
Vol. 740
Vol. 740
Applied Mechanics and Materials
Vols. 738-739
Vols. 738-739
Applied Mechanics and Materials
Vol. 737
Vol. 737
Applied Mechanics and Materials
Vol. 736
Vol. 736
Applied Mechanics and Materials
Vol. 735
Vol. 735
Applied Mechanics and Materials
Vol. 734
Vol. 734
Applied Mechanics and Materials
Vol. 733
Vol. 733
Applied Mechanics and Materials
Vol. 732
Vol. 732
Applied Mechanics and Materials
Vol. 731
Vol. 731
Applied Mechanics and Materials Vol. 737
Paper Title Page
Abstract: This paper establishes a transmission network planning model under uncertainty market environment, and consider N-2 security of the double circuit lines on the same tower. The model is solved with the method of hierarchical genetic algorithm, finally get the future transmission network planning meet the need of reliability and the minimum cost of schemeunder uncertain environment .To build a simulation model, simulation the security impact of building circuits on the same tower to power transmission network planning.
273
Abstract: Abstract. Electricity power forecasting has been always playing a vital role in power system management and planning. Inaccurate prediction may lead to wastes of scarce energy resource, electricity shortages and even grid collapses. On the other hand, forecasting electricity power has proven to be a challenging task due to various unstable factors. Meanwhile, accurate power load forecasting can provide reliable guidance for power grid operation and power construction planning, which is also important for the sustainable development of electric power industry. Although over a thousand scientific papers address the topic of load forecasting every year, only a few are dedicated to finding a general model for load forecasting that improves the performance in different cases. This paper proposes a combined forecasting model for electrical power prediction, and the particle swarm optimization is employed to optimize the weight coefficients in the combined forecasting model. The proposed combined model has been compared with the individual models and its results are promising.
278
Abstract: EDI water treatment technology currently in power plant boiler feed water preparation systems more and more common. The main reason is due to the EDI water treatment technology has obvious advantages in terms of environmental protection. However, during operation to ensure that the equipment is running well and boiler water effluent quality to meet the requirements, but also the factors affecting the operation of enough attention. Through the analysis of the actual operation characteristics of EDI case of water treatment technology and application notes were simply described.
285
Abstract: A new flash boiling spray model whose atomization criterion based on the void fraction and superheat while evaporation model based on the dual-zone method is established to simulate the flashing sprays. The model function is implemented in KIVA program. Flash boiling spray model predicts spray penetration and spray cone angle and its development trend, in good agreement with the experimental results. The model has a good capability in simulating flash sprays at low superheat conditions, which breakup is controlled by void fraction, as well as high superheat transition process. It can also predict flare flashing sprays to some extent at higher superheat conditions.
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Abstract: The air preheater was installed on the furnace to decrease the exhaust gas temperature and heat the air to about 290°C. A radiant cylinder was added to the radiation section. Swirl flames were formed by adjusting the shape and the installation angles of the burner flame tubes. The radiation heat transfer was strengthened and the heat absorption was enhanced in the radiation section, while the temperature at the outlet of the furnace was decreased. Thus energy was saved by 16.7%.
296
Abstract: A two-phase mixture model is used to study natural convection in a square cavity filled with CuO+H2O nanofluids, in the hypothesis of temperature-dependent physical properties, assuming that Brownian diffusion and thermophoresis are the primary slip mechanisms between solid and liquid phases. The cavity is heated at one side and cooled at the opposite side, whereas the horizontal walls are assumed either both adiabatic, or the bottom heated and the top cooled. A computational code based on the SIMPLE-C algorithm is used to solve the system of the mass, momentum and energy transfer governing equations. It is found that, owing to the effects of the slip motion occurring between solid and liquid phases, the rate of heat transferred across the cavity by the nanofluid in the heating-from-below configuration is remarkably higher than that transferred by the pure base liquid. Moreover, in this particular configuration the addition of nanoparticles to the base liquid generates periodicity in heat transfer. Additionally, the heat transfer enhancement is discovered to increase as the imposed temperature difference is increased, showing a smooth maximum at an optimal particle loading.
301
Abstract: Every day, in every city, many buses are moving, carrying a lot of citizens. During the year, especially during the summer, buses become uncomfortable places because of both environmental and internal conditions. Due to the rising of the mobility needs, time that people spend in vehicles has strongly grown. Moreover, also the thermal environment in urban buses changes greatly, in fact passengers onboard are exposed to local heating and/or cooling due to vertical temperature gradients, radiant asymmetry and local unexpected airflow. This study aims to optimize the energy performance of a bus envelope, identifying practical solutions. The analysis was carried out numerically, considering a hot day during July and passengers on board during the 24 hours per day.
313
Abstract: The degradation of the pharmaceutical paracetamol by using Fenton-like process in conjunction with ultrasonic cavitation was investigated. An evident synergistic effect was found in the combination of sonication and Fenton-like process. Through the application of Response Surface Methodology optimization, the optimum conditions for the degradation of paracetamol were initial pH 3.0, H2O2 7.0 mmol·L-1 and sponge iron 4 g·L-1 with acoustic power of 200 W. Under these parameters could obtain 99% degradation of 100mg·L-1 paracetamol solution within 30 min treatment.
321
Abstract: Effects of nitrogen amount on yield and nutrient absorption of cold land japonica rice under the condition of straw returning were studied using cold land rice variety Dong Nong 428 as experimental material. The results showed as follows: yields and effective spikes increased first then reduced, and the highest yield and effective panicles per plant was 7983.33 kg·hm-2 and 17.7 per plant that was found in treatment with nitrogen amount was 133 kg/hm2; differences of plant N, P and K accumulation of each treatment in tillering stage were not obvious and showed single peak curve change in heading stage while took on obvious increasing trend in grain filling stage and maturity stage. The straw returning increased effective spikes while had no effects on yield, spike weight, total shriveled rate and 1000-grain weight; the straw returning also had no effects on N, P and K accumulation in tillering and heading stage while it inhibit N, P and K accumulation in grain filling stage, and it inhibited N accumulation while promoted P and K accumulation in maturity stage.
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Abstract: The purpose of the present study was to determine the anti-fatigue and anti-hypoxia effects of soy isoflavones. Soy isoflavones were administered at doses of 200, 400, 600 mg/kg and anti-fatigue effects were evaluated using rotarod and forced swimming test, along with the determination of fatigue-related some blood biochemical parameters. Meanwhile, anti-hypoxia effects were evaluated using normobaric hypoxia and sodium nitrite toxicosis test. The results showed that soy isoflavones could evidently extend riding and exhaustive swimming times, decreasing blood lactate and serum urea nitrogen contents, which indicated that soy isoflavones had anti-fatigue effects. Soy isoflavones could evidently extend survival times under normobaric hypoxia and sodium nitrite toxicosis conditions, which indicated that soy isoflavones had anti-hypoxia effects.
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