The Experts below are selected from a list of 50988 Experts worldwide ranked by ideXlab platform

Eric S Toberer - One of the best experts on this subject based on the ideXlab platform.

  • response to comment on effective thermal conductivity in thermoelectric materials j appl phys 113 204904 2013
    Journal of Applied Physics, 2014
    Co-Authors: Lauryn L Baranowski, Jeffrey G Snyder, Eric S Toberer
    Abstract:

    It is commonly claimed that achieving maximum power from a thermoelectric generator necessitates Electrical load matching Conditions instead of the operating Condition derived for maximum generator efficiency. Here, we explain why the Electrical load matching claim for maximum power in a design optimization is flawed and show that the load Condition derived for maximum efficiency always produces more power. Finally, we consider a CPM generator, and prove that the Electrical Condition for maximum efficiency is indeed the Electrical Condition for maximum power, maximum power density, maximum power/cost of thermoelectric material, and maximum power/weight of thermoelectric material, when the leg length of the thermoelectric generator is a design variable.

H. Tanaka - One of the best experts on this subject based on the ideXlab platform.

  • Development of partial discharge monitor for turbine generators
    Proceedings of 1998 International Symposium on Electrical Insulating Materials. 1998 Asian International Conference on Dielectrics and Electrical Insu, 1998
    Co-Authors: K Itoh, Takao Tsurimoto, Y. Kaneda, S. Kitamura, S. Kuroki, T. Ohsawa, H. Tanaka
    Abstract:

    A new partial discharge (PD) monitor has been developed. It continuously monitors Electrical Condition of stator winding insulation of the turbine generators in service. Wires of a resistance temperature detector (RTD) preinstalled between top and bottom coils of a stator slot are used as a RF coupler so that no new device installed inside a generator is required. Electromagnetic noise occurring around the generator is rejected by detection with multiple sensors and signal processing software. Results of in-service measurements show negative load and temperature dependence of PD characteristic. It is expected that the dependence is a symptom of degradation of the insulation system.

  • Development of partial discharge monitor for turbine generators
    Proceedings: Electrical Insulation Conference and Electrical Manufacturing and Coil Winding Conference (Cat. No.99CH37035), 1
    Co-Authors: Takao Tsurimoto, Y. Kaneda, S. Kuroki, T. Ohsawa, K Itoh, A. Sumida, H. Tanaka
    Abstract:

    A new partial discharge (PD) monitor has been developed. It continuously monitors the Electrical Condition of stator winding insulation of turbine generators in service. Various turbine generators, such as those having large PD activity and load dependent PD, were measured.

Lauryn L Baranowski - One of the best experts on this subject based on the ideXlab platform.

  • response to comment on effective thermal conductivity in thermoelectric materials j appl phys 113 204904 2013
    Journal of Applied Physics, 2014
    Co-Authors: Lauryn L Baranowski, Jeffrey G Snyder, Eric S Toberer
    Abstract:

    It is commonly claimed that achieving maximum power from a thermoelectric generator necessitates Electrical load matching Conditions instead of the operating Condition derived for maximum generator efficiency. Here, we explain why the Electrical load matching claim for maximum power in a design optimization is flawed and show that the load Condition derived for maximum efficiency always produces more power. Finally, we consider a CPM generator, and prove that the Electrical Condition for maximum efficiency is indeed the Electrical Condition for maximum power, maximum power density, maximum power/cost of thermoelectric material, and maximum power/weight of thermoelectric material, when the leg length of the thermoelectric generator is a design variable.

Preetha Sharan - One of the best experts on this subject based on the ideXlab platform.

  • Electrical interference problemson commercial fishing vessels a review
    Indonesian Journal of Electrical Engineering and Computer Science, 2018
    Co-Authors: Pankaj Kumar Sinha, Preetha Sharan
    Abstract:

    Canadian Coast Guard (CCG) provides Marine Communications centre (MCC) with financial assistance surveyed for Electromagnetic Compatibility and Electromagnetic Interference (EMC/EMI) correlated troubles on industrial based fishing vessels less than twenty metres. The Electrical Condition should be provided for the vessels and it is the goal of the survey. By performing "Electrical noise" measurement method the necessary data was obtained. Several autopilot systems are susceptible to High Frequency Single Side Band (HF SSB) transmitters due to the absence of Electrical noise suppression scheme. The main objective of the survey is to analyse the better Electrical noise suppression method for fishing vessels.

  • Electrical Interference Problemson Commercial Fishing Vessels – A Review
    Indonesian Journal of Electrical Engineering and Computer Science, 2018
    Co-Authors: Pankaj Kumar Sinha, Preetha Sharan
    Abstract:

    Canadian Coast Guard (CCG) provides Marine Communications centre (MCC) with financial assistance surveyed for Electromagnetic Compatibility and Electromagnetic Interference (EMC/EMI) correlated troubles on industrial based fishing vessels less than twenty metres. The Electrical Condition should be provided for the vessels and it is the goal of the survey. By performing "Electrical noise" measurement method the necessary data was obtained. Several autopilot systems are susceptible to High Frequency Single Side Band (HF SSB) transmitters due to the absence of Electrical noise suppression scheme. The main objective of the survey is to analyse the better Electrical noise suppression method for fishing vessels.

Ching-lung Chang - One of the best experts on this subject based on the ideXlab platform.

  • On construction of an energy monitoring service using big data technology for the smart campus
    Cluster Computing, 2019
    Co-Authors: Chao-tung Yang, Ren-hao Liu, Shuo-tsung Chen, Jung-chun Liu, Ching-lung Chang
    Abstract:

    In this study, we combine cloud computing with big data processing techniques to build a real-time energy monitoring system for smart campus. The monitor plat-form collects the electricity usage in campus buildings through smart meters and environmental sensors, and processes the huge amount of data by big data processing techniques. A Hadoop ecosystem is built on top of big data processing architecture to improve the capacity of big data storage and processing ability. Moreover, we compare the performance of Hive and HBase in searching energy data, and the performance of relational database and big data distributed database for data search. We also identify abnormal Electrical Condition through the MapReduce framework, and compared the difference of performances between Spark and Hadoop in real-time processing. The proposed system has been implemented in Tunghai University campus. It enables administrators to observe the real-time electricity usage and analyze historical data anytime and from anyplace.