Critical Power Demand Scheduling for Hospitals Using Repurposed EV Batteries

In this paper, restructuring of monopolistic power systems is inevitable in this day and age to cope up with the radical growth of power demand. In developed countries restructuring is already in place while developing countries are getting accustomed to it. Above and beyond the benefits to customers in terms of economy and quality, there are several challenges prevailing particularly in transmission while exercising deregulation. The foremost challenging task of Independent System Operator (ISO) is managing the transmission line congestion in a deregulated power system. In most of the congestion management techniques, only the economic aspects are considered. The minimum voltage derivation for electronic industries and acceptable voltage derivation for high power applications are considered with suitable weighting factors in the objective function.

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Analysis of urbanization influence towards power demand forecasting

2006 China International Conference on Electricity Distribution (CICED 2006) ◽

10.1049/cp:20061762 ◽

2006 ◽

Author(s):

Yan Zheng ◽

Yuansheng Huang ◽

Jun Fang ◽

Dongxiao Niu ◽

Jianxun Qi

Keyword(s):

Demand Forecasting ◽

Power Demand

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Eco-Driving for Different Electric Powertrain Topologies Considering Motor Efficiency

World Electric Vehicle Journal ◽

10.3390/wevj12010006 ◽

2021 ◽

Vol 12 (1) ◽

pp. 6

Author(s):

Alexander Koch ◽

Tim Bürchner ◽

Thomas Herrmann ◽

Markus Lienkamp

Keyword(s):

Dynamic Programming ◽

Electric Vehicles ◽

Quadratic Functions ◽

Simultaneous Optimization ◽

Speed Profile ◽

Power Demand ◽

Electric Motors ◽

Car Following ◽

Motor Efficiency ◽

Computationally Expensive

Electrification and automatization may change the environmental impact of vehicles. Current eco-driving approaches for electric vehicles fit the electric power of the motor by quadratic functions and are limited to powertrains with one motor and single-speed transmission or use computationally expensive algorithms. This paper proposes an online nonlinear algorithm, which handles the non-convex power demand of electric motors. Therefore, this algorithm allows the simultaneous optimization of speed profile and powertrain operation for electric vehicles with multiple motors and multiple gears. We compare different powertrain topologies in a free-flow scenario and a car-following scenario. Dynamic Programming validates the proposed algorithm. Optimal speed profiles alter for different powertrain topologies. Powertrains with multiple gears and motors require less energy during eco-driving. Furthermore, the powertrain-dependent correlations between jerk restriction and energy consumption are shown.

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The Effects of 15 or 30 s SIT in Normobaric Hypoxia on Aerobic, Anaerobic Performance and Critical Power

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18083976 ◽

2021 ◽

Vol 18 (8) ◽

pp. 3976

Author(s):

Hakan Karabiyik ◽

Mustafa Can Eser ◽

Ozkan Guler ◽

Burak Caglar Yasli ◽

Goktug Ertetik ◽

...

Keyword(s):

Critical Power ◽

Interval Training ◽

Normobaric Hypoxia ◽

Time To Exhaustion ◽

Anaerobic Performance ◽

Sprint Interval Training ◽

Mean Power ◽

Training Adaptations ◽

Post Test

Sprint interval training (SIT) is a concept that has been shown to enhance aerobic-anaerobic training adaptations and induce larger effects in hypoxia. The purpose of this study was to examine the effects of 4 weeks of SIT with 15 or 30 s in hypoxia on aerobic, anaerobic performance and critical power (CP). A total of 32 male team players were divided into four groups: SIT with 15 s at FiO2: 0.209 (15 N); FiO2: 0.135 (15 H); SIT with 30 s at FiO2: 0.209 (30 N); and FiO2: 0.135 (30 H). VO2max did not significantly increase, however time-to-exhaustion (TTE) was found to be significantly longer in the post test compared to pre test (p = 0.001) with no difference between groups (p = 0.86). Mean power (MPw.kg) after repeated wingate tests was significantly higher compared to pre training in all groups (p = 0.001) with no difference between groups (p = 0.66). Similarly, CP was increased in all groups with 4 weeks of SIT (p = 0.001) with no difference between groups (p = 0.82). This study showed that 4 weeks of SIT with 15 and 30 s sprint bouts in normoxia or hypoxia did not increased VO2max in trained athletes. However, anerobic performance and CP can be increased with 4 weeks of SIT both in normoxia or hypoxia with 15 or 30 s of sprint durations.

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