Computational Fluid Dynamic Analysis Sample Clauses

Computational Fluid Dynamic Analysis. ENGINEER will perform computational fluid dynamic (CFD) modeling of the connection of the new filter backwash pipe inlet for the filter flume to verify that maldistribution of the backwash water is minimal due to the off-center introduction. Existing and proposed backwash operation will be modeled to evaluate a relative performance comparison at low and high backwash rates. Each underdrain lateral will be modeled as a series of completely open blocks. The gravel support layer on top of the blocks will be specified as a “porous media” defined with the same headloss as identified by the filter manufacturer. Downstream boundary will be the head over the backwash waste troughs for both conditions. Upstream boundary for the existing conditions will be the FE pipe penetration at the FE flume and for the proposed conditions will be the backwash header just upstream of the tee to the individual filters. Backwash valves located within the boundary limits are assumed to be isolation valves and 100% open. Only one filter will be modeled to represent all filters. Estimated flow distribution performance will only provide insight on the relative comparison between the existing and proposed condition. It should not be considered a prediction of the absolute flow distribution performance. Data required for modeling includes: ▪ Headloss through the underdrain block and plate ▪ Underdrain drawings ▪ Backwash flow rates ▪ Water surface elevation in the filter ▪ Drawings showing the backwash waste troughs CFD model evaluation will provide velocity contour graphics through the various sections of the filter and flow through each series of underdrain blocks.
Sample 1
AutoNDA by SimpleDocs

Related to Computational Fluid Dynamic Analysis

  • Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall Full-Time Student Equivalent (FFTE) inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested

  • Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.

  • Measuring DNS parameters Every minute, every DNS probe will make an UDP or TCP “DNS test” to each of the public-­‐DNS registered “IP addresses” of the name servers of the domain name being monitored. If a “DNS test” result is undefined/unanswered, the tested IP will be considered unavailable from that probe until it is time to make a new test.

  • COMPENSATION ANALYSIS After the expiration of the second (2nd) Renewal Term of this Agreement, if any, a Compensation Analysis may be performed. At such time, based on the reported Total Gross Revenue, performance of the Concession, and/or Department’s existing rates for similarly- performing operations, Department may choose to increase the Concession Payment for the following Renewal Term(s), if any.

  • Measuring EPP parameters Every 5 minutes, EPP probes will select one “IP address” of the EPP servers of the TLD being monitored and make an “EPP test”; every time they should alternate between the 3 different types of commands and between the commands inside each category. If an “EPP test” result is undefined/unanswered, the EPP service will be considered as unavailable from that probe until it is time to make a new test.

  • Drug Testing (A) The state and the PBA agree to drug testing of employees in accordance with section 112.0455, F.S., the Drug-Free Workplace Act.

  • Random Drug Testing All employees covered by this Agreement shall be subject to random drug testing in accordance with Appendix D.

  • Meteorological Data Reporting Requirement (Applicable to wind generation facilities only) The wind generation facility shall, at a minimum, be required to provide the Transmission Provider with site-specific meteorological data including: • Temperature (degrees Fahrenheit) • Wind speed (meters/second) • Wind direction (degrees from True North) • Atmosphere pressure (hectopascals) • Forced outage data (wind turbine and MW unavailability)

  • Technology Research Analyst Job# 1810 General Characteristics Maintains a strong understanding of the enterprise’s IT systems and architectures. Assists in the analysis of the requirements for the enterprise and applying emerging technologies to support long-term business objectives. Responsible for researching, collecting, and disseminating information on emerging technologies and key learnings throughout the enterprise. Researches and recommends changes to foundation architecture. Supports research projects to identify and evaluate emerging technologies. Interfaces with users and staff to evaluate possible implementation of the new technology in the enterprise, consistent with the goal of improving existing systems and technologies and in meeting the needs of the business. Analyzes and researches process of deployment and assists in this process.

  • Disturbance Analysis Data Exchange The Parties will cooperate with one another and the NYISO in the analysis of disturbances to either the Large Generating Facility or the New York State Transmission System by gathering and providing access to any information relating to any disturbance, including information from disturbance recording equipment, protective relay targets, breaker operations and sequence of events records, and any disturbance information required by Good Utility Practice.

Time is Money Join Law Insider Premium to draft better contracts faster.