Reference number : GC-2017-Q4-01634, amendment number : , agreement type : G, recipient legal name : Sheikhzadeh, Mehdi (Lambton College of Applied Arts and Technology), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Applied Research and Development Grants (<$75k), program name french : Subventions de recherche et développement appliquée (<75,000 $), program purpose english : Effective equipment optimization protects industry's investments through minimizing downtime, extending equipment life, reducing energy and optimizing performance. In the age of automation and smart technology, the key goal should be designing the next generation of predictive monitoring systems, which can recommend substantial improvements of the existing process equipment through remotely analyzing the data for current performance._x000D_
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LeapFrog Energy Technologies Inc. is an Ontario company that has completed more than 1500 industrial energy and water efficiency audits of manufacturing and mining sectors and underlying process equipment including air compressors, fans and blowers, pumps and industrial refrigeration. Recognizing that customer's energy consumption is not homogeneous, LeapFrog Energy moved to developing simple algorithms to target specific customers for energy efficiency and demand response programs.  _x000D_
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Lambton College's Lambton Energy Research Centre  through this applied research project is collaborating with Leapfrog to develop an automated integrated solution of gathering and analyzing instrumentation data, data cleansing and organization, pattern recognition, prediction and recommendations, and target process equipment including pumps, compressed air systems, fans and blowers, and industrial chillers. The driving factors for this system are cost reduction through energy efficiency, reliability improvements and GHG reduction.  _x000D_
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The results of the project will provide economic growth, exporting opportunities, job creation and global competitiveness. Canada will also benefit from energy and GHG reduction. _x000D_
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_x000D_, program purpose french : Effective equipment optimization protects industry's investments through minimizing downtime, extending equipment life, reducing energy and optimizing performance. In the age of automation and smart technology, the key goal should be designing the next generation of predictive monitoring systems, which can recommend substantial improvements of the existing process equipment through remotely analyzing the data for current performance._x000D_
_x000D_
LeapFrog Energy Technologies Inc. is an Ontario company that has completed more than 1500 industrial energy and water efficiency audits of manufacturing and mining sectors and underlying process equipment including air compressors, fans and blowers, pumps and industrial refrigeration. Recognizing that customer's energy consumption is not homogeneous, LeapFrog Energy moved to developing simple algorithms to target specific customers for energy efficiency and demand response programs.  _x000D_
_x000D_
Lambton College's Lambton Energy Research Centre  through this applied research project is collaborating with Leapfrog to develop an automated integrated solution of gathering and analyzing instrumentation data, data cleansing and organization, pattern recognition, prediction and recommendations, and target process equipment including pumps, compressed air systems, fans and blowers, and industrial chillers. The driving factors for this system are cost reduction through energy efficiency, reliability improvements and GHG reduction.  _x000D_
_x000D_
The results of the project will provide economic growth, exporting opportunities, job creation and global competitiveness. Canada will also benefit from energy and GHG reduction. _x000D_
_x000D_
_x000D_, agreement title english : Artificial Intelligence, Diagnostic and Recommender System for Energy Efficiency and Performance Optimization of Industrial Process Equipment, agreement title french : Artificial Intelligence, Diagnostic and Recommender System for Energy Efficiency and Performance Optimization of Industrial Process Equipment, agreement number : CARD2, agreement value : 75000.0, agreement start date : 2018-03-07, 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