Reference number : GC-2017-Q3-00441, amendment number : , agreement type : G, recipient legal name : Risk, David (St. Francis Xavier University), recipient country : CA, recipient province : nan, recipient city : Nova Scotia|Nouvelle-Écosse, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : ATCO provides safe, reliable delivery of natural gas to more than 1.2 million customers. Over the past two_x000D_
decades, the company has not significantly adjusted its monitoring techniques and available tools have_x000D_
improved. ATCO wishes to study optimizing a combination of walking and mobile vehicle leak detection_x000D_
techniques to reduce costs while retaining or improving efficacy. Field experiments will be used to test_x000D_
resolution with the present industry-standard tools. Prior to this it will be necessary to form model-based_x000D_
expectations based on Gaussian plume modeling for the interpretation of results. Experiment results and_x000D_
economics data for monitoring will be combined to establish the lowest cost combination that still meets_x000D_
acceptable certainty and confidence levels. This three-part project entails: 1)Computer-based experiments._x000D_
StFX will conduct model experiments to predict relative behavior of mobile detection tools under_x000D_
representative conditions and understand detection opportunites and relative detection ranges for the detection_x000D_
tools in seasonal, day/night, and rural/urban contexts; 2)Field based experiments A) StFX will coordinate_x000D_
controlled natural gas release tests using both walking and driving methodologies simultaneously. B)_x000D_
Double-blind tests will guide the optimal relative use of each technology under a range of circumstances;_x000D_
3)Data Interpretation: StFX will create a report combining field trial results with economics data (cost per km,_x000D_
time) of each approach and establish the lowest cost combination that meets ATCO's certainty/confidence_x000D_
requirements., program purpose french : ATCO provides safe, reliable delivery of natural gas to more than 1.2 million customers. Over the past two_x000D_
decades, the company has not significantly adjusted its monitoring techniques and available tools have_x000D_
improved. ATCO wishes to study optimizing a combination of walking and mobile vehicle leak detection_x000D_
techniques to reduce costs while retaining or improving efficacy. Field experiments will be used to test_x000D_
resolution with the present industry-standard tools. Prior to this it will be necessary to form model-based_x000D_
expectations based on Gaussian plume modeling for the interpretation of results. Experiment results and_x000D_
economics data for monitoring will be combined to establish the lowest cost combination that still meets_x000D_
acceptable certainty and confidence levels. This three-part project entails: 1)Computer-based experiments._x000D_
StFX will conduct model experiments to predict relative behavior of mobile detection tools under_x000D_
representative conditions and understand detection opportunites and relative detection ranges for the detection_x000D_
tools in seasonal, day/night, and rural/urban contexts; 2)Field based experiments A) StFX will coordinate_x000D_
controlled natural gas release tests using both walking and driving methodologies simultaneously. B)_x000D_
Double-blind tests will guide the optimal relative use of each technology under a range of circumstances;_x000D_
3)Data Interpretation: StFX will create a report combining field trial results with economics data (cost per km,_x000D_
time) of each approach and establish the lowest cost combination that meets ATCO's certainty/confidence_x000D_
requirements., agreement title english : Natural Gas Leak Detection Surveys, agreement title french : Natural Gas Leak Detection Surveys, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-11-08, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada