Power and Energy
A computational efficient battery pack model with thermal consideration is essential for simulation before real-time embedded implementation. The proposed temperature-dependent battery model (LiFePO4 battery cell, ANR26650M1-B from A123 Systems) will increase the lifespan of the battery. The simulation outputs are validated by a set of independent experimental data at a different ambient temperature using the dataset collected at 5 °C, 15 °C, 25 °C, 35 °C and 45 °C.
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Microbial fuel cells (MFC) are one of the best sources of renewable energy but the power density achieved till now is not enough for present as well as future application purpose. Recent research gives us hope that a high amount of power density can be achieved by doing various modifications at different functional levels on the paper based MFC.
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Different instruments, satellite data and simulation softwares are available for measuring solar irradiation intensities but efficiency and accuracy of all devices are different. This paper represents detailed comparison of various measuring instruments based on efficiency, cost effectiveness, availability, accuracy, compactness and reliability .Importing solar radiation measurement instruments is very costly from economic and maintenance point of view for developing countries so it is preferred to construct devices from locally available equipments.
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This paper utilizes modern statistical and machine learning methodology to track oscillation modes in complex power engineering systems. The damping ratio of the electromechanical oscillation mode is formulated as a function of power of the generators and loads as well as bus voltage magnitudes in the entire power system. The celebrated Lasso algorithm is implemented to solve this high-dimension modeling problem. By the nature of the $L_1$ design, the Lasso algorithm can automatically render a sparse solution, and by eliminating redundant features, it provides desirable prediction power.
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Geomagnetic field variations produce geoelectric fields that can affect the operation of technological networks at the Earth’s surface, including power systems, pipelines, phone cables and railway circuits. To assess the geomagnetic hazard to this technology, it is necessary to model the geomagnetically induced currents (GIC) produced in these systems during geomagnetic disturbances. This requires use of geomagnetic data with appropriate Earth conductivity models to calculate the geoelectric fields that drive GIC.
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This dataset is in support of my 3 research papers - 'Comparative SoC Analysis using Non-Linear Kalman Estimation in 8RC ECM of 72Ah LIB - Part I', ' Comparative SoC Analysis using Non-Linear Kalman Estimation in 8RC ECM of 72Ah LIB - Part II' , and 'Comparative SoC Analysis using Non-Linear Kalman Estimation in 8RC ECM of 72Ah LIB - Part III'.
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The files in this dataset each contain vectors Time, PEDAL, SPEED, ACCEL, VOLTAGE and CURRENT related to an Electric Vehicle travelling on one of four different roads, mostly in urban areas. Data is obtained from the CAN bus of the vehicle (a Zhidou ZD model ZD2) resampled in order to obtain a single time coordinate and stored in the dataset.
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This dataset is in support of my research paper 'Analysis of Power Generation And Turbine Characteristics of 2.2 kW Residential Wind Generators'.
Related Claim : Novel ß Wind Turbine Urban Residential Controller and Novel ß Wind Vibration Octa Axis Harvesting System in Patent 'Novel ß 10-Axis Grid Compatible Multi-Controller'
Preprint :
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This dataset is in support of my 2 research papers - 'Short Circuit Analysis of 72Ah Li-Ion BMC - Part I' and 'Short Circuit Analysis of 72Ah Li-Ion BMC - Part II'.
Faults and datasets can be copied to submit in fire cause investigation reports or thesis.
This dataset is a collection of data of battery and BMC faults.
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