@article{GENERAL,
      recid = {11158},
      author = {Lapin, I},
      title = {Optimizing Fuel Management for Halifax Class Frigates:  Leveraging Sensor Data for Enhanced Efficiency},
      journal = {Conference Proceedings of iSCSS},
      address = {2024-11-06},
      number = {GENERAL},
      abstract = {This article explores how operational data from sensors  integrated with Royal Canadian Navy (RCN) Halifax Class  Frigates onboard Integrated Platform Management System  (IPMS)  can be leveraged to minimize fuel consumption. The  idea is to use IPMS data logged by the L3HARRIS Equipment  Health Monitoring (EHM) software tool. This, along with  data collected from temporary fuel flowmeters installed on  several Halifax Class Frigates, aids in the development of  fuel consumption models for onboard power generating and  propulsion equipment. The study aims to identify the most  fuel-efficient driving mode among the options available for  specific operational conditions, leveraging the CODOG  propulsion system and twin shaft arrangement of the Halifax  Class Frigates. Building upon this, the developed fuel  consumption models are employed to implement various fuel  optimization methods on a specific ship platform. This  entails the adaptation and integration of these methods  into dashboards for enhanced accessibility, with the fuel  consumption models providing essential input data.
The  process of fuel optimization methods development consists  of several steps. First, the targeted power generating and  propulsion equipment operational data and fuel flowmeters  data were selected. Secondly, data from these sources was  consolidated and preprocessed and data analysis was  conducted. Then, equipment fuel consumption baselines were  generated and validated using available historical data.  After that, fuel consumption prediction models for each  type of equipment were built. Finally, a Fuel Management  Application prototype was developed to facilitate user  access to current operational data, fuel  consumption-related information as well as fuel consumption  optimization tools.
In the course of the study, several  fuel optimization techniques were examined, revealing  valuable information about their applicability in specific  cases, taking into account factors such as data  availability and reliability. The development process of  equipment fuel consumption models showcased how sensors  designed for operational support could enhance fuel  consumption optimization efforts. Enhanced value could be  realized with the installation of high-quality fuel  flowmeters during ship construction or the prolonged use of  temporary fuel flowmeters to capture data across the ship's  speed and load ranges. L3HARRIS IPMS emerged as a valuable  information source supporting fuel optimization  initiatives. Validation of the Fuel Management  Application's performance in the field and its value to  end-users is pending; however, the progress achieved thus  far shows promising potential.},
      url = {http://library.imarest.org/record/11158},
      doi = {https://doi.org/10.24868/11158},
}