The Experts below are selected from a list of 15726 Experts worldwide ranked by ideXlab platform

Weidou Ni - One of the best experts on this subject based on the ideXlab platform.

  • fresh breeze cuts down one third ventilation rate of a natural draft dry cooling tower a hot state modelling
    2018
    Co-Authors: Weiliang Wang, Junfu Lu, Yuzhao Wang, Hai Zhang, Weidou Ni
    Abstract:

    Abstract The natural draft dry cooling tower (NDDCT) has been increasingly used in power generation for its merits of excellent water-saving, high energy saving, simple maintenance and long life service. To study the performance of a newly installed 660 MW NDDCT under crosswind condition, a model with scale of 1:200 was built according to the scaling law of Geometric Similarity. The experiments were set up in self-similar region with high Reynolds to meet momentum Similarity, while meeting the scaling law of Froude and Euler numbers. A first order law radiator resistance model is also proposed and verified by a systematic test. The exponent law profile of wind velocity above the ground was built and verified by experimental data. On the ground of a constant heating rate bases, the flow field inside the NDDCT and the ventilation rate were investigated at the crosswind range of 0–20 m/s.

  • fresh breeze cuts down one third ventilation rate of a natural draft dry cooling tower a hot state modelling
    2018
    Co-Authors: Weiliang Wang, Junfu Lu, Yuzhao Wang, Hai Zhang, Weidou Ni
    Abstract:

    Abstract The natural draft dry cooling tower (NDDCT) has been increasingly used in power generation for its merits of excellent water-saving, high energy saving, simple maintenance and long life service. To study the performance of a newly installed 660 MW NDDCT under crosswind condition, a model with scale of 1:200 was built according to the scaling law of Geometric Similarity. The experiments were set up in self-similar region with high Reynolds to meet momentum Similarity, while meeting the scaling law of Froude and Euler numbers. A first order law radiator resistance model is also proposed and verified by a systematic test. The exponent law profile of wind velocity above the ground was built and verified by experimental data. On the ground of a constant heating rate bases, the flow field inside the NDDCT and the ventilation rate were investigated at the crosswind range of 0–20 m/s.

Weiliang Wang - One of the best experts on this subject based on the ideXlab platform.

  • fresh breeze cuts down one third ventilation rate of a natural draft dry cooling tower a hot state modelling
    2018
    Co-Authors: Weiliang Wang, Junfu Lu, Yuzhao Wang, Hai Zhang, Weidou Ni
    Abstract:

    Abstract The natural draft dry cooling tower (NDDCT) has been increasingly used in power generation for its merits of excellent water-saving, high energy saving, simple maintenance and long life service. To study the performance of a newly installed 660 MW NDDCT under crosswind condition, a model with scale of 1:200 was built according to the scaling law of Geometric Similarity. The experiments were set up in self-similar region with high Reynolds to meet momentum Similarity, while meeting the scaling law of Froude and Euler numbers. A first order law radiator resistance model is also proposed and verified by a systematic test. The exponent law profile of wind velocity above the ground was built and verified by experimental data. On the ground of a constant heating rate bases, the flow field inside the NDDCT and the ventilation rate were investigated at the crosswind range of 0–20 m/s.

  • fresh breeze cuts down one third ventilation rate of a natural draft dry cooling tower a hot state modelling
    2018
    Co-Authors: Weiliang Wang, Junfu Lu, Yuzhao Wang, Hai Zhang, Weidou Ni
    Abstract:

    Abstract The natural draft dry cooling tower (NDDCT) has been increasingly used in power generation for its merits of excellent water-saving, high energy saving, simple maintenance and long life service. To study the performance of a newly installed 660 MW NDDCT under crosswind condition, a model with scale of 1:200 was built according to the scaling law of Geometric Similarity. The experiments were set up in self-similar region with high Reynolds to meet momentum Similarity, while meeting the scaling law of Froude and Euler numbers. A first order law radiator resistance model is also proposed and verified by a systematic test. The exponent law profile of wind velocity above the ground was built and verified by experimental data. On the ground of a constant heating rate bases, the flow field inside the NDDCT and the ventilation rate were investigated at the crosswind range of 0–20 m/s.

Víctor Lorenzo - One of the best experts on this subject based on the ideXlab platform.

  • Exploiting Geometric Similarity for statistical quantification of fluorescence spatial patterns in bacterial colonies
    2020
    Co-Authors: David R. Espeso, Elena Algar, Esteban Martínez-garcía, Víctor Lorenzo
    Abstract:

    Background Currently the combination of molecular tools, imaging techniques and analysis software offer the possibility of studying gene activity through the use of fluorescent reporters and infer its distribution within complex biological three-dimensional structures. For example, the use of Confocal Scanning Laser Microscopy (CSLM) is a regularly-used approach to visually inspect the spatial distribution of a fluorescent signal. Although a plethora of generalist imaging software is available to analyze experimental pictures, the development of tailor-made software for every specific problem is still the most straightforward approach to perform the best possible image analysis. In this manuscript, we focused on developing a simple methodology to satisfy one particular need: automated processing and analysis of CSLM image stacks to generate 3D fluorescence profiles showing the average distribution detected in bacterial colonies grown in different experimental conditions for comparison purposes. Results The presented method processes batches of CSLM stacks containing three-dimensional images of an arbitrary number of colonies. Quasi-circular colonies are identified, filtered and projected onto a normalized orthogonal coordinate system, where a numerical interpolation is performed to obtain fluorescence values within a spatially fixed grid. A statistically representative three-dimensional fluorescent pattern is then generated from this data, allowing for standardized fluorescence analysis regardless of variability in colony size. The proposed methodology was evaluated by analyzing fluorescence from GFP expression subject to regulation by a stress-inducible promoter. Conclusions This method provides a statistically reliable spatial distribution profile of fluorescence detected in analyzed samples, helping the researcher to establish general correlations between gene expression and spatial allocation under differential experimental regimes. The described methodology was coded into a MATLAB script and shared under an open source license to make it accessible to the whole community.

  • exploiting Geometric Similarity for statistical quantification of fluorescence spatial patterns in bacterial colonies
    2020
    Co-Authors: David R. Espeso, Elena Algar, Esteban Martinezgarcia, Víctor Lorenzo
    Abstract:

    Currently the combination of molecular tools, imaging techniques and analysis software offer the possibility of studying gene activity through the use of fluorescent reporters and infer its distribution within complex biological three-dimensional structures. For example, the use of Confocal Scanning Laser Microscopy (CSLM) is a regularly-used approach to visually inspect the spatial distribution of a fluorescent signal. Although a plethora of generalist imaging software is available to analyze experimental pictures, the development of tailor-made software for every specific problem is still the most straightforward approach to perform the best possible image analysis. In this manuscript, we focused on developing a simple methodology to satisfy one particular need: automated processing and analysis of CSLM image stacks to generate 3D fluorescence profiles showing the average distribution detected in bacterial colonies grown in different experimental conditions for comparison purposes. The presented method processes batches of CSLM stacks containing three-dimensional images of an arbitrary number of colonies. Quasi-circular colonies are identified, filtered and projected onto a normalized orthogonal coordinate system, where a numerical interpolation is performed to obtain fluorescence values within a spatially fixed grid. A statistically representative three-dimensional fluorescent pattern is then generated from this data, allowing for standardized fluorescence analysis regardless of variability in colony size. The proposed methodology was evaluated by analyzing fluorescence from GFP expression subject to regulation by a stress-inducible promoter. This method provides a statistically reliable spatial distribution profile of fluorescence detected in analyzed samples, helping the researcher to establish general correlations between gene expression and spatial allocation under differential experimental regimes. The described methodology was coded into a MATLAB script and shared under an open source license to make it accessible to the whole community.

Hai Zhang - One of the best experts on this subject based on the ideXlab platform.

  • fresh breeze cuts down one third ventilation rate of a natural draft dry cooling tower a hot state modelling
    2018
    Co-Authors: Weiliang Wang, Junfu Lu, Yuzhao Wang, Hai Zhang, Weidou Ni
    Abstract:

    Abstract The natural draft dry cooling tower (NDDCT) has been increasingly used in power generation for its merits of excellent water-saving, high energy saving, simple maintenance and long life service. To study the performance of a newly installed 660 MW NDDCT under crosswind condition, a model with scale of 1:200 was built according to the scaling law of Geometric Similarity. The experiments were set up in self-similar region with high Reynolds to meet momentum Similarity, while meeting the scaling law of Froude and Euler numbers. A first order law radiator resistance model is also proposed and verified by a systematic test. The exponent law profile of wind velocity above the ground was built and verified by experimental data. On the ground of a constant heating rate bases, the flow field inside the NDDCT and the ventilation rate were investigated at the crosswind range of 0–20 m/s.

  • fresh breeze cuts down one third ventilation rate of a natural draft dry cooling tower a hot state modelling
    2018
    Co-Authors: Weiliang Wang, Junfu Lu, Yuzhao Wang, Hai Zhang, Weidou Ni
    Abstract:

    Abstract The natural draft dry cooling tower (NDDCT) has been increasingly used in power generation for its merits of excellent water-saving, high energy saving, simple maintenance and long life service. To study the performance of a newly installed 660 MW NDDCT under crosswind condition, a model with scale of 1:200 was built according to the scaling law of Geometric Similarity. The experiments were set up in self-similar region with high Reynolds to meet momentum Similarity, while meeting the scaling law of Froude and Euler numbers. A first order law radiator resistance model is also proposed and verified by a systematic test. The exponent law profile of wind velocity above the ground was built and verified by experimental data. On the ground of a constant heating rate bases, the flow field inside the NDDCT and the ventilation rate were investigated at the crosswind range of 0–20 m/s.

Yuzhao Wang - One of the best experts on this subject based on the ideXlab platform.

  • fresh breeze cuts down one third ventilation rate of a natural draft dry cooling tower a hot state modelling
    2018
    Co-Authors: Weiliang Wang, Junfu Lu, Yuzhao Wang, Hai Zhang, Weidou Ni
    Abstract:

    Abstract The natural draft dry cooling tower (NDDCT) has been increasingly used in power generation for its merits of excellent water-saving, high energy saving, simple maintenance and long life service. To study the performance of a newly installed 660 MW NDDCT under crosswind condition, a model with scale of 1:200 was built according to the scaling law of Geometric Similarity. The experiments were set up in self-similar region with high Reynolds to meet momentum Similarity, while meeting the scaling law of Froude and Euler numbers. A first order law radiator resistance model is also proposed and verified by a systematic test. The exponent law profile of wind velocity above the ground was built and verified by experimental data. On the ground of a constant heating rate bases, the flow field inside the NDDCT and the ventilation rate were investigated at the crosswind range of 0–20 m/s.

  • fresh breeze cuts down one third ventilation rate of a natural draft dry cooling tower a hot state modelling
    2018
    Co-Authors: Weiliang Wang, Junfu Lu, Yuzhao Wang, Hai Zhang, Weidou Ni
    Abstract:

    Abstract The natural draft dry cooling tower (NDDCT) has been increasingly used in power generation for its merits of excellent water-saving, high energy saving, simple maintenance and long life service. To study the performance of a newly installed 660 MW NDDCT under crosswind condition, a model with scale of 1:200 was built according to the scaling law of Geometric Similarity. The experiments were set up in self-similar region with high Reynolds to meet momentum Similarity, while meeting the scaling law of Froude and Euler numbers. A first order law radiator resistance model is also proposed and verified by a systematic test. The exponent law profile of wind velocity above the ground was built and verified by experimental data. On the ground of a constant heating rate bases, the flow field inside the NDDCT and the ventilation rate were investigated at the crosswind range of 0–20 m/s.