Energy efficiency management method for 200,000-400,000 methanol dual-fuel container ship

Abstract

The invention discloses an energy efficiency management method for a 200,000-400,000 methanol dual-fuel container ship, and belongs to the technical field of ship energy efficiency management. The methanol dual-fuel main engine and auxiliary engine equipment sends operation parameter / fuel consumption / main propulsion shaft power / shaft rotating speed information, and the cabin detection alarm system sends state information such as fuel oil / methanol cabin capacity and temperature to the engine room detection alarm system. The communication navigation system sends ship speed / ship position / course / wind direction and wind speed and other navigation information to the intelligent data integration platform system for data collection, processing and integration, and then sends ship energy efficiency state information to the intelligent energy efficiency management workstation for display; and sending a performance evaluation result and auxiliary decision information such as trim optimization and navigational speed optimization to a workstation for guiding ship energy efficiency management. After the intelligent energy efficiency management system is applied, the ship energy efficiency can be detected and evaluated. The navigational speed of the ship can be optimized, and an auxiliary decision is provided; the optimal stowage based on trim optimization can be provided, and fuel oil can be continuously saved for a ship owner.

Description

TECHNICAL FIELD

[0001] The present application relates to a method for energy efficiency management of a 24,000 TEU methanol dual-fuel container ship, belonging to the technical field of ship energy efficiency management. BACKGROUND

[0002] The regulations implemented by the International Maritime Organization (IMO) such as the Ship Energy Efficiency Design Index (EEDI), the existing Ship Energy Efficiency Index (EEXI) and the Carbon Intensity Index (CII) rating make non-compliant ships face the risk of speed restriction, port detention and even elimination. Compliance has become a basic prerequisite for ship operation. Fuel costs account for 60-70% of container ship operating costs. Energy efficiency management of container ships has become an irreversible core measure for the shipping industry. Through energy efficiency measures such as optimizing speed, hull energy-saving modification, etc., fuel consumption can be directly reduced, single container transportation costs can be significantly reduced, and enterprise profits can be directly improved to enhance competitiveness. When a ship is operating at sea, the speed of the ship, the running state of the main engine and the auxiliary engine, and the loading state of the ship are the main factors affecting the fuel consumption of the ship. Therefore, how to manage the energy efficiency of a 24,000 TEU methanol dual-fuel container ship is a problem faced by the ship. Relying solely on the personal experience of the crew cannot guarantee the effectiveness. SUMMARY

[0003] To solve the problems in the prior art, the present application provides a method for energy efficiency management of a 24,000 TEU methanol dual-fuel container ship, which monitors, analyzes and saves energy in real time during the operation of the ship, so that the ship operates and manages in a more economical and environmentally friendly manner.

[0004] At present, there is no intelligent energy efficiency system applied to a 24,000 TEU methanol dual-fuel container ship, and the crew mainly relies on their seafaring experience to adjust the stowage and ship speed in order to reduce fuel consumption.

[0005] The technical solution adopted by the present application is as follows: The present application adopts the following technical solution: a method for energy efficiency management of a 24,000 TEU methanol dual-fuel container ship, comprising the following steps:

[0006] Step 1: Obtain various parameters of the ship under the current running state, including various operating parameters of the main engine and auxiliary equipment;

[0007] Step 2: Obtain various environmental parameters of the current running area of the ship;

[0008] Step 3: Collect the collected parameter information into an intelligent platform, preprocess the collected data by the integrated platform, and store the data in a database server and a backup database server in a certain format for subsequent hot backup, data synchronization and data switching; the data provide data services for the intelligent energy efficiency system in a certain format;

[0009] Step 4: On the current route, based on the base model and the ideal energy consumption curve of the host device, the recommended auxiliary decision information is given and sent to the energy efficiency system workstation to provide reference for the crew; and trim optimization and speed optimization are carried out;

[0010] Step 4.1 Trim optimization: The system collects data in real time through sensors on the ship, including bow and stern draft, speed, main engine power / oil consumption, wind speed and direction, sea waves, and ship hull fouling conditions. Through the system's built-in model, the real-time data is combined with historical data, and the optimal trim value under the current load and sea conditions is calculated through an algorithm;

[0011] Step 4.2 Speed optimization: There is a cubic relationship between speed and fuel consumption, and reducing speed can optimize fuel consumption. The system considers weather routing information, route information, port berthing time window, and real-time ship speed and oil consumption. The goal is to find the economic speed, that is, to achieve the lowest oil consumption cost per unit distance under the premise of meeting the voyage plan. The intelligent algorithm simulates multiple navigation schemes under different speeds, calculates the expected fuel consumption and arrival time of each scheme, and recommends the speed suggestion that can ensure safe and on-time arrival and save fuel to the greatest extent;

[0012] Step 5: Navigation safety monitoring and early warning: The system prevents safety accidents through device state monitoring, navigation environment monitoring, ship attitude monitoring, and real-time meteorological monitoring. Specifically:

[0013] Device state monitoring: Monitor the operating parameters of the main engine, auxiliary engine, and gearbox, and alarm immediately if they exceed the normal threshold to achieve predictive maintenance;

[0014] Navigation environment monitoring: Integrate AIS, radar, and electronic chart data to provide early warning for collision risk and grounding risk;

[0015] Ship attitude monitoring: Monitor the roll angle and pitch angle; when the ship's roll amplitude is too large, the system issues a warning and suggests adjusting the heading and speed to improve the navigation attitude;

[0016] Weather warning: Based on updated weather data, the system issues an early warning for severe weather to be encountered and suggests an avoidance route.

[0017] Step 6: According to the current data, calculate the energy efficiency-related parameters and display them on the energy efficiency workstation on the ship to facilitate crew recording and reporting; at the same time, send them to the shore end through the satellite communication system for shipowner company management.

[0018] Further, in step 1, the parameters include methanol density, temperature, inventory, flow, and maximum aeration limit.

[0019] Further, in step 2, the environmental parameters include wind direction, wind speed, ship draft state, ocean current parameters, ship trim state.

[0020] Further, in step 4.2, the speed suggestion is dynamic, and updated speed suggestions are continuously provided according to real-time changes in marine weather conditions.

[0021] Further, in step 6, the energy efficiency related parameters include energy efficiency operation index, fuel consumption per nautical mile, fuel consumption per transport work, CO2 emission per nautical mile, CO2 emission per transport work, cargo capacity utilization rate, speed reduction ratio, propulsion efficiency, energy efficiency efficiency.

[0022] In ship operation, the methanol dual-fuel main engine and auxiliary engine equipment will send running parameters / fuel consumption / main propulsion shaft power / axle speed information, the engine room detection alarm system will send fuel / methanol tank capacity, temperature and other state information, and the communication navigation system will send ship speed / ship position / course / heading / wind direction and speed and other navigation information to the intelligent data integration platform system for data collection, processing and integration, and then the ship energy efficiency state information is sent to the intelligent energy efficiency management workstation for display; the performance evaluation results and auxiliary decision information such as trim optimization and speed optimization are sent to the workstation for guiding ship energy efficiency management; at the same time, the above information will also be sent to the shore base through the satellite communication system, which is convenient for the shipowner company to manage the overall data of the fleet.

[0023] Compared with the prior art, the present application has the following advantages: the method is the first to apply an intelligent energy efficiency system to a 24k TEU (MeOH DF) ship type, which can provide suggestions and decisions for reducing fuel consumption and operating costs, reducing greenhouse gas emissions, and improving equipment operation efficiency when large container ships use fuel and methanol dual fuel.

[0024] In the system, running data of various equipment on the ship is collected, such as the speed, power, fuel consumption, temperature, etc. (through temperature / pressure / flow sensors) of the main engine, auxiliary engine and boiler of the power system; the sailing state has speed, heading, draft depth, rudder angle, etc.; the energy flow has power system load, energy distribution (such as refrigerated container power consumption), etc. The data volume is large and the data types are different. After collecting various systems and types, the integrated platform pre-processes the data of each subsystem, and stores the data of each subsystem in the database server and the standby database server according to a certain format, while considering hot backup, data synchronization, data switching, etc. These data provide data services for the intelligent energy efficiency system through a certain format.

[0025] After the intelligent energy efficiency management system is applied, the energy efficiency of the ship can be detected and evaluated. The ship speed can be optimized to provide an auxiliary decision. The best trim can be provided based on the trim optimization to continuously save fuel for the ship owner. The current intelligent energy efficiency system is based on the intelligent integrated platform and has expandability. BRIEF DESCRIPTION OF DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0027] Figure 1 is a block diagram of a methanol dual-fuel intelligent energy efficiency management system.

[0028] In the figure: 1, methanol dual-fuel main engine and auxiliary engine equipment; 2, engine room detection alarm system; 3, communication navigation system; 4, methanol dual-fuel intelligent data integration platform system; 5, data satellite transmission system; 6, methanol dual-fuel intelligent energy efficiency workstation. DETAILED DESCRIPTION

[0029] It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail below with reference to the drawings and in combination with the embodiments.

[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. The description of the at least one exemplary embodiment is actually only illustrative, but not as any limitation on the present application and its application or use. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0031] It should be noted that the terms used herein are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present application. As used herein, the singular form is intended to include the plural form unless the context clearly indicates otherwise, and it should also be understood that when the terms "comprise" and / or "include" are used in the specification, there is a feature, step, operation, device, component and / or combination thereof.

[0032] In the operation of the ship, the methanol dual-fuel main engine and auxiliary engine equipment will send the operating parameters / fuel consumption / main propulsion shaft power / rotational speed information, the engine room detection alarm system will send the fuel / methanol tank capacity, temperature and other state information, and the communication navigation system will send the ship speed / ship position / course / wind direction and wind speed and other navigation information to the intelligent data integration platform system for data collection, processing and integration, and then the ship energy efficiency state information is sent to the intelligent energy efficiency management workstation for display; the performance evaluation results and the auxiliary decision information such as trim optimization and speed optimization are sent to the workstation for guiding the ship energy efficiency management; at the same time, the above information will also be sent to the shore base through the satellite communication system for the overall management of the ship fleet by the shipowner company. The method specifically comprises the following steps:

[0033] Step 1: Obtain various parameters of the ship under the current operating state, including various operating parameters of the main engine and auxiliary engine equipment. Different from the past, in addition to the conventional fuel parameters, the parameters of the methanol fuel tank, supply pipeline and supply equipment, including methanol density, temperature, inventory, flow rate, maximum venting limit and the like, are also collected.

[0034] Step 2: Obtain various environmental parameters of the current operating area of the ship, including wind direction and speed, ship draft state, current parameters and ship trim state.

[0035] Step 3: The various parameters collected above are different in type, communication method and statement. In the past, they were directly sent to the intelligent energy efficiency management system. In this design, the various signals are first summarized in the intelligent platform, the data of each subsystem is preprocessed by the integrated platform, and the data of each subsystem is stored in the database server and the standby database server in a certain format, while considering hot backup, data synchronization and data switching. These data provide data services for the intelligent energy efficiency system through a certain format.

[0036] Step 4: On the current route, based on the ideal energy consumption curve of the basic model and the main engine and other equipment, a recommended main engine speed and other auxiliary decision information is given, which is sent to the energy efficiency system workstation for reference by the crew. The real-time data and historical data are compared and iterated to continuously correct and optimize the calculation parameters of the model, so as to give a higher recommended speed and other auxiliary decision.

[0037] Step 5: At the same time, the energy efficiency related parameters can be calculated according to the current data, such as energy efficiency operation index, fuel consumption per nautical mile, fuel consumption per transport work, CO2 emission per nautical mile, CO2 emission per transport work, cargo capacity utilization rate, speed reduction ratio, propulsion efficiency, energy efficiency efficiency and the like, which are displayed on the energy efficiency workstation on the ship for the convenience of the crew to record and report; at the same time, they are sent to the shore end through the satellite communication system for the management of the shipowner company.

[0038] Further, the energy efficiency management method can provide trim optimization, speed optimization, navigation safety monitoring and early warning, voyage report and energy saving potential evaluation optimization services for 24,000 TEU dual-fuel container ships.

[0039] Trim optimization: The system collects data in real time through sensors on the ship, including bow and stern draft, speed, main engine power / oil consumption, wind speed and direction, sea waves, hull fouling, etc. Through the built-in model of the system, real-time data is combined with historical data, and the best trim value under the current load and sea conditions is calculated through algorithm.

[0040] Speed optimization: Speed and fuel consumption have a cubic relationship (fuel consumption ∝ speed³), and a small reduction in speed can bring significant fuel saving effect. Speed optimization aims to find the "economic speed", that is, to achieve the lowest fuel consumption cost per unit distance under the premise of meeting the voyage plan. The system comprehensively considers weather routing information (wind, wave, current forecast for the next 72 hours), route information, port berthing time window (to avoid waiting in anchorage), as well as real-time ship speed and oil consumption. Intelligent calculation and simulation: The intelligent algorithm simulates multiple navigation schemes under different speeds, and calculates the expected fuel consumption and arrival time (ETA) of each scheme. Recommend the best scheme: The system recommends a speed suggestion that can guarantee safety and on-time arrival, and save fuel to the greatest extent. At the same time, the system is dynamic and will continue to provide updated speed recommendations according to real-time changes in ocean weather conditions.

[0041] Navigation safety monitoring and early warning: Safety is the premise of efficiency. The system prevents safety accidents through real-time monitoring of ship attitude, equipment and environment. Equipment state monitoring: Monitor the operating parameters (temperature, pressure, speed) of key equipment such as main engine, auxiliary engine, gearbox, etc. Once it exceeds the normal threshold, it will alarm immediately to achieve predictive maintenance. Navigation environment monitoring: Integrate AIS, radar, electronic chart data to warn of collision risk (too close to other ships), grounding risk (deviation from the channel or entering shallow water). Ship attitude monitoring: Monitor the roll and pitch angles. When the ship's roll amplitude is too large (severe sea conditions), the system will issue a warning and may suggest adjusting the heading and speed to improve the sailing attitude and ensure the safety of the cargo and ship body. Weather warning: Based on updated weather data, it warns of severe weather (such as strong winds, large waves, typhoons) to be encountered in advance and suggests avoiding routes.

[0042] Voyage report and energy saving potential assessment: This is a "post-mortem" and "physical examination" of the entire voyage performance, used to quantify energy saving effects, find improvement space and provide decision support. Automatic generation of reports: After the voyage, the system automatically aggregates all key data and generates a standardized voyage energy efficiency report. The report includes: total fuel consumption, total distance, average speed. Energy efficiency compared with theoretical baseline or historical average level. Statistics of oil saving brought by various optimization measures (such as trim adjustment, speed reduction). Weather and sea state impact on energy efficiency assessment. Energy saving potential assessment: Benchmarking analysis: Compare the energy efficiency performance of this voyage with the benchmark value of ships of the same type and on the same route, find out the gap. Root cause analysis: Through data analysis, the reasons for low energy efficiency, such as: main engine efficiency decline, serious hull fouling, improper operation on some voyage segments, etc. Improvement suggestions: The system will give specific suggestions based on the analysis results.

[0043] The above-mentioned energy efficiency management method can provide performance trend analysis and fouling impact assessment for a 24,000 TEU dual-fuel container ship. Based on the detection data and information of the ship's navigation state and energy consumption state, the ship's energy efficiency state, navigation and loading state, etc. are evaluated, and the evaluation results and solutions such as speed optimization, optimal stowage based on trim optimization are provided to the ship, realizing real-time monitoring, evaluation and optimization of ship energy efficiency, and continuously improving the level of ship energy efficiency management.

[0044] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the above embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method of energy efficiency management for a 24,000 TEU methanol dual fuel container ship, characterized in that, The method comprises the following steps: Step 1: Obtain various parameters in the current running state of the ship, including various running parameters of the main engine and auxiliary engine equipment; Step 2: Obtain various environmental parameters of the current running area of the ship; Step 3: Collect the collected parameter information into the intelligent platform, pre-process the collected data by the integrated platform, and store the data in the database server and the backup database server in a certain format, so as to facilitate subsequent hot backup, data synchronization and data switching; the data provide data services for the intelligent energy efficiency system through a certain format; Step 4: Based on the basic model and the ideal energy consumption curve of the main engine equipment, operation is carried out on the current route, recommended auxiliary decision information is given, and the information is sent to the energy efficiency system workstation to provide reference for the crew; and longitudinal optimization and speed optimization are carried out; Step 4.1 Longitudinal optimization: the system collects data in real time through sensors on the ship, including the depth of the bow and stern, the speed, the main engine power / oil consumption, the wind speed and direction, the sea waves, and the ship's fouling condition, combines the real-time data with the historical data through the built-in model of the system, and calculates the optimal trim value under the current load and sea conditions through an algorithm; Step 4.2 Speed optimization: the speed and fuel consumption have a cubic relationship, and reducing the speed can optimize fuel consumption; the system comprehensively considers weather routing information, route information, port berthing time window, and real-time ship speed and oil consumption; the purpose is to find an economic speed, that is, to realize the lowest oil consumption cost per unit distance on the premise of meeting the voyage plan; the intelligent algorithm simulates multiple navigation schemes under different speeds, calculates the expected fuel consumption and arrival time of each scheme; accordingly, the system recommends a speed suggestion that can ensure safety, on-time arrival and maximum fuel saving; Step 5: Navigation safety monitoring and early warning: the system monitors the equipment state, navigation environment, ship attitude and weather in real time to prevent safety accidents; Specifically: Equipment state monitoring: monitor the running parameters of the main engine, auxiliary engine and gearbox, and alarm immediately if the parameters exceed the normal threshold to realize predictive maintenance; Navigation environment monitoring: integrate AIS, radar and electronic chart data to warn of collision risk and grounding risk; Ship attitude monitoring: monitor the roll angle and pitch angle; when the roll amplitude of the ship is too large, the system issues a warning and suggests adjusting the heading and speed to improve the navigation attitude; Weather warning: based on updated weather data, the system issues an early warning for severe weather to be encountered and suggests an avoidance route; Step 6: According to the current data, calculate the energy efficiency related parameters, and display them on the energy efficiency workstation on the ship to facilitate the crew to record and report; at the same time, the data are sent to the shore end through the satellite communication system for the shipowner company management.

2. A method of energy efficiency management of a 24,000 TEU methanol dual fuel container ship in accordance with claim 1, characterized in that, In step 1, the parameters include methanol density, temperature, inventory, flow rate, and maximum ventilation limit.

3. A method of energy efficiency management of a 24,000 TEU methanol dual fuel container ship according to claim 2, characterized in that, In step 2, the environmental parameters include wind direction and speed, ship draft state, ocean current parameters, and ship trim state.

4. A method of energy efficiency management of a 24,000 TEU methanol dual fuel container ship in accordance with claim 3, characterized in that, In step 4.2, the speed suggestion is dynamic and continuously updated according to the real-time changing marine weather conditions.

5. A method of energy efficiency management of a 24,000 TEU methanol dual fuel container ship in accordance with claim 4, characterized in that, The parameters related to energy efficiency in step 6 include energy efficiency operation index, fuel consumption per nautical mile, fuel consumption per transport work, CO2 emission per nautical mile, CO2 emission per transport work, cargo capacity utilization, reduction ratio, propulsion efficiency, and energy efficiency efficiency.

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