Energy

This paper looks at six different applications for a domestically located battery system and determines how these could be translated into different electrical power application “drive” cycles. The applications considered are as follows: 1) a house with four people and a solar panel using the battery to absorb extra energy when the PV panel is producing more power than is absorbed in the house and then releasing this energy afterwards.

  • Standards Research Data
  • Last Updated On: 
    Mon, 05/13/2019 - 07:07

    With a large number of all-controlled switching devices of converters in MMC-HVDC system and the frequency-dependent characteristics of line impedance in the electromagnetic transient model of HVDC transmission line, the real-time simulation platform calls for subtle time step and high calculation accuracy. The calculation parameters are prestored in advance so that they can be obtained by looking up tables in the calculation process, which reduces the computational load of simulation calculation of MMC-HVDC system.

  • Energy
  • Last Updated On: 
    Sun, 04/07/2019 - 11:16

    The SWINSEG dataset contains 115 nighttime images of sky/cloud patches along with their corresponding binary ground truth maps The ground truth annotation was done in consultation with experts from Singapore Meteorological Services. All images were captured in Singapore using WAHRSIS, a calibrated ground-based whole sky imager, over a period of 12 months from January to December 2016. All image patches are 500x500 pixels in size, and were selected considering several factors such as time of the image capture, cloud coverage, and seasonal variations.

     

  • Energy
  • Last Updated On: 
    Thu, 04/04/2019 - 10:06

    Matlab Simulink was used to develop an emulator for the Viessmann Vitorond 200 Gas Fired Boiler VD2 Series 380 and a series of faults were modeled along with normal data across the expected range of operation to create a labelled dataset with approximately 27,500 cases for training and testing boiler fault classification models. 

  • Energy
  • Last Updated On: 
    Sat, 03/30/2019 - 15:08

    An emulator for the Viessmann Vitorond 200 Gas Fired Boiler VD2 Series 380 dataset was created in Matlab/Simulink based on the Simscape boiler model.

  • Energy
  • Last Updated On: 
    Sat, 03/30/2019 - 14:58

    image files and origin files for manuscript entitled "Effect of Solid Particles on the Loss Circulation of Drilling Fluid: A Numerical Simulation"

  • Energy
  • Last Updated On: 
    Thu, 01/03/2019 - 21:48

    DECA is widely used as a protocol to describe the fuel economy and battery load of vehicles. Meanwhile, Carsim is universally accepted as a reliable tool to analyze vehicle dynamics. Therefore, it is of great importance to simulate the DECA with Carsim and provide a proper way to measure the virtual fuel economy of vehicles. It may also contribute to explement related experiments. 

  • Transportation
  • Last Updated On: 
    Wed, 12/12/2018 - 10:04

    This dataset could be used to reproduce the results of the AVM model proposed in the paper "Unified Modeling and Analysis of the Dual-Control High-Speed Response Brushless Excitation System of Synchronous Generators".

  • Energy
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Jonas Kristiansen Nøland

    An effective use of electrochemical Energy Storage Systems (ESSs) is mandatory for improving the performances of next generation electric vehicles and hybrid electric vehicles, as well as of smart grid and microgrid systems.In particular, Battery Management Systems (BMSs) are useful devices aiming at monitoring, managing, and controlling the battery pack. One of the main task of any BMS is performing State of Charge estimation of the cells composing the ESS.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Massimiliano Luzi

    With the advent of huge data availability and cheap processing power to derive insights from data ,applications of Big Data and Machine Learning are gaining popularity in every industry. Now, Predicting about future is no more an alternate but a necessity to increase efficiency with accurate output. Forecasting for a shorter duration (Nowcasting) fits perfectly in this space to estimate the final production for better planning and control.

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Parul Arora,Himanshu Kumar,Bijaya Ketan Panigrahi

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