Guide on the Best Practice for Tanker Performance Monitoring/Руководство по передовым методам мониторинга эффективности работы танкеров

Издание на английском языке
This book addresses issues of monitoring and analyzing the performance of ship operations in the oil and gas industry, particularly in the context of environmental standards and regulatory requirements. It examines modern methods for assessing ship performance, including the analysis of sources of uncertainty, the use of automated sensors, and reporting systems. Particular attention is paid to the regulatory framework, including international environmental initiatives and standards such as the IMO CO2 and GHG strategies, as well as ISO practical standards and ITTC recommendations. The book presents tools for data analysis, information-driven decision-making, and the implementation of energy efficiency technologies, including case studies and examples from real-world practice. It also examines methods for assessing errors and developing strategies to reduce the environmental impact of ships, making this work a valuable resource for engineers, researchers, and managers seeking to improve the efficiency and environmental safety of shipping.

Content
1. Scope
2. Performance Monitoring in the tanker industry
2.1. Background
2.2. Future scope of work
3. Regulatory framework
3.1. IMO CO2 reduction framework
3.2. IMO Data Collection System (DCS)
3.3. IMO Green House Gas Initial Strategy
4. Industry standards and commercial requirements
4.1. ISO 15019 and ITTC recommended procedure
4.2. ISO 19030
4.3. Charter Party and TMSA
4.4. Energy Efficiency Management Plan
4.5. Examples of ship energy efficiency measures and Energy Efficiency. Technology (EET)
4.6. Performance indices
4.7. Data intellectual property
5. Trend analysis
5.1. Questionnaire
5.2. Results of the online poll
6. Understanding of uncertainty
6.1. Basic definition
6.2. Sources of error
6.3. Introduction to uncertainty in vessel performance
6.4. The process of understanding uncertainty in vessel performance
6.5. Baseline uncertainty
6.6. Proxy errors
6.7. Uncertainty in parameters used in analysis
6.8. Uncertainty in sensor measurements
6.9. A case study in applying different methods recommended in ISO 19030
7. Data source
7.1. Auto-logging sensors onboard the ship
7.2. Performance reporting
7.3. Quantification of uncertainties in manual reporting and auto-logging
7.4. Uncertainties in manual reporting
7.5. Manual reporting systems
8. Data analysis
9. Data driven decision
9.1. New building data and sea trial
9.2. Fuel management
9.3. Hull cleaning and propeller polishing
10. Summary
Takeaways
References
Contributors
Appendices
Appendix 1. Basic principles of ISO 19030 (Section 4.2)
Appendix 2. Background of the speed loss concept in ISO 19030 51 (Section 4.2)
Appendix 3-1. Examples of operational measures for energy efficiency 54 (Section 4.6)
Appendix 3-2. Classification of Energy Efficiency Technologies (EET, Section 4.6)
Appendix 4. Non-Disclosure Model Agreement (Section 4.8)
Appendix 5. Results of the online poll (Section 5)
Appendix 6. Theoretical background of uncertainty analysis (Section 6.2)
Appendix 7. Uncertainty in sensor measurements (Section 6.5)
Appendix 8. Uncertainty, today and ISO 19030 (Section 6.9 and 7.4)
Appendix 9. How to measure shaft power (Section 7.1)
Appendix 10. Energy Efficiency Management Plan - A case study of a 97 shipping company (Section 9.1)
Appendix 11. Information to be agreed at technical specification stage (Section 9.1)
Appendix 12. How to manage fuel oil consumptions using flow meter (Section 9.2)
Appendix 13. Explanatory notes for Specific Fuel Oil Consumption (Section 9.2)
Appendix 14. Hull-propeller performance assessment methods (Section 9.3.2)
Appendix 15. A case study into decision-making processes about propeller 114 polishing and hull fouling (Section 9.3.1 and 9.3.2)