Ship energy efficiency management system

Abstract

The invention discloses a ship energy efficiency management system, and relates to the technical field of energy management optimization, the ship navigational speed is optimized through real-time calculation of EEOI so as to reduce fuel consumption and pollution emission, the system comprises a data acquisition module, an energy efficiency analysis module, a decision support module, a user interface module and an offline analysis module; the data acquisition module acquires data such as ship fuel consumption and environmental conditions; the energy efficiency analysis module processes information acquired by the data acquisition module in real time and calculates parameters required by the decision support module; the decision support module is used for generating an optimization suggestion for the ship navigational speed according to the result of the energy efficiency analysis module and the EEOI index; the user interface module comprises a plurality of sub-interfaces for respectively displaying various energy efficiency parameters and decision suggestions; and the offline analysis module calls the historical navigation data, performs retrospective analysis on the energy efficiency of the ship, and generates a detailed energy efficiency report.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management optimization, and in particular to a ship energy efficiency management system. Background Art

[0002] Traditional ship propulsion and energy efficiency management rely on a single diesel engine drive, resulting in low energy efficiency and high emissions. With increasingly stringent environmental regulations, higher requirements are placed on ship energy efficiency management systems, including optimizing energy consumption, improving energy efficiency, reducing emissions, and improving economic benefits.

[0003] In the global shipping industry, ship energy efficiency management has become an important research direction and practical need. In traditional ship propulsion and energy efficiency management, most ships rely on a single diesel engine. Although this method is reliable, it has significant shortcomings in terms of energy efficiency, mainly in the following aspects:

[0004] High fuel consumption: The single diesel engine propulsion mode does not fully utilize modern energy efficiency optimization technology, resulting in high fuel consumption. The speed control is usually adjusted by the crew based on experience, and it is difficult to accurately control it within the optimal fuel consumption range, especially during long-term and long-distance voyages, which greatly increases fuel costs.

[0005] High pollution emissions: Diesel engines emit a large amount of pollutants during the combustion process, especially greenhouse gases and harmful substances such as carbon dioxide, nitrogen oxides and sulfur oxides. With the increasingly stringent environmental regulations, the restrictions on ship emissions are constantly increasing, and the high emissions of traditional ships are increasingly concerned.

[0006] Lack of effective real-time energy efficiency monitoring and feedback mechanism: Most traditional ship energy efficiency management systems lack real-time monitoring and feedback functions, making it difficult to dynamically adjust operating parameters such as speed and route, resulting in energy efficiency optimization being unable to be carried out in real time, thus missing the opportunity to save fuel through subtle adjustments. Summary of the invention

[0007] The purpose of the present invention is to realize the comprehensive management and optimization control system of ship energy efficiency by integrating multiple monitoring modules and optimization algorithms.

[0008] The technical solution of the present invention is: to provide a ship energy efficiency management system, the system comprises: a data acquisition module, an energy efficiency analysis module and a decision support module;

[0009] The data acquisition module is connected to the ship's sensors and other monitoring equipment to collect the ship's fuel consumption data, energy efficiency parameters and external environment data in real time;

[0010] The energy efficiency analysis module processes the information collected by the data acquisition module in real time, calculates the parameters required by the decision support module, and provides basic data support for the decision support module;

[0011] The decision support module generates optimization suggestions for ship speed based on the results of the energy efficiency analysis module and the EEOI index;

[0012] The following is the optimization algorithm that generates optimization suggestions:

[0013] EEOI represents the carbon dioxide emissions per unit load, and the formula is as follows:

[0014]

[0015] Where j is the fuel type; FC j is the total amount of fuel consumed by the ship during navigation; C Fj is the CO2 emission factor, which refers to the mass of CO2 emitted per ton of fuel consumed; m cargo is the load; D is the mileage of the ship, which refers to the actual distance the ship sails in the transportation operation;

[0016] The smaller the EEOI value, the higher the energy efficiency of the ship, that is, with the same transport volume, the fuel consumption and CO2 emissions are lower. The goal of EEOI optimization is to reduce the EEOI value and reduce fuel consumption by selecting an appropriate speed;

[0017] Establish the relationship model between ship speed and main engine speed and the relationship model between fuel consumption per unit time and speed, and finally obtain the EEOI and ship main engine speed model and optimization constraints;

[0018] The above optimization algorithm is used to optimize and solve the EEOI and the ship main engine speed model, obtain the optimal speed, and generate optimization suggestions for the ship speed.

[0019] In any of the above technical solutions, further, the formula of the relationship model between the ship speed and the main engine speed is as follows:

[0020]

[0021] Among them, V 0i is the ship's speed against water, J is the propeller advance coefficient, ω is the wake fraction, n i is the host speed.

[0022] In any of the above technical solutions, further, the formula of the relationship model between the fuel consumption per unit time and the speed is as follows:

[0023]

[0024] Among them, Q is the fuel consumption per unit time, V0 is the speed, C t is the total resistance coefficient of the ship; ρ is the water density; S is the wetted surface area of ​​the hull; η ds is the ship propulsion efficiency; η s is the shaft transmission efficiency; b e is the main engine fuel consumption rate;

[0025] Will As parameter C1, we can get

[0026] In any of the above technical solutions, further, in the optimization algorithm, the water flow will have an impact on the speed, which can be expressed as:

[0027]

[0028] Among them, V si V is the ship's speed to the shore; 0i V is the ship's speed over water; wi is the water flow velocity.

[0029] In any of the above technical solutions, further, the reasoning process of EEOI and the ship main engine speed model and optimization constraint conditions is:

[0030] Calculate the ship's sailing time for the voyage:

[0031]

[0032] The fuel consumption of the i-th segment can be obtained:

[0033]

[0034] So we can get the relationship model between host speed and EEOI:

[0035]

[0036] According to the above analysis, the EEOI and ship main engine speed model and optimization constraints can be obtained:

[0037]

[0038] In any of the above technical solutions, further, the system also includes: a user interface module;

[0039] The user interface module provides a clear and intuitive graphical interface for crew members and managers to view energy efficiency data, optimization suggestions and ship operation status. The user interface module includes multiple sub-interfaces, which display various energy efficiency parameters and decision-making suggestions respectively:

[0040] Speed ​​monitoring interface: displays the current speed, recommended optimal speed and current fuel consumption status, so that the crew can adjust the ship speed according to actual needs;

[0041] Energy efficiency indicator display interface: real-time display of fuel efficiency, emission level and EEOI value, and trend analysis of historical data to help crew understand the long-term operation status and energy-saving effect of the ship;

[0042] Decision-making suggestion interface: displays suggestions for speed optimization, route optimization and trim optimization. The system provides specific operation guidance according to different voyages and environmental conditions, so that the crew can adjust the operation in time.

[0043] In any of the above technical solutions, further, the system also includes: an offline analysis module; the offline analysis module calls historical navigation data, performs a retrospective analysis on the energy efficiency of the ship, and generates a detailed energy efficiency report.

[0044] The beneficial effects of the present invention are:

[0045] In this invention, by introducing EEOI (Energy Efficiency Operation Index) as an optimization index, the system can calculate the optimal speed according to the fuel consumption and carbon dioxide emissions at different speeds, so that the ship can significantly reduce fuel consumption while ensuring transportation efficiency. This optimization process can help ships achieve the minimum energy consumption and emissions, effectively improving the overall energy efficiency of ships.

[0046] The offline analysis module in the present invention can analyze historical data after the voyage and generate an energy efficiency report. Through the retrospective analysis of energy efficiency data and EEOI values ​​during the voyage, ship managers can better understand the energy efficiency performance of the ship and provide decision-making basis and data support for energy efficiency optimization of future voyages.

[0047] The system is equipped with an intuitive user interface, where crew members and managers can directly view the current speed, recommended optimal speed, fuel consumption status and energy efficiency indicators. The user interface not only facilitates operation, but also allows crew members to quickly understand the ship's energy efficiency and speed optimization suggestions, improving the practicality and ease of use of the system.

[0048] This patent provides an integrated data collection, energy efficiency analysis, speed optimization and user feedback system, which enables the energy efficiency management of ships to be integrated and systematic. The close cooperation of various modules in the system forms a closed loop of ship energy efficiency management from data collection, analysis to optimization suggestions, effectively improving the overall level of ship energy efficiency management. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The advantages of the above and additional aspects of the present invention will become apparent and easily understood in the description of the embodiments in conjunction with the following drawings, in which:

[0050] Figure 1 is an operation flow chart of a ship energy efficiency management system according to an embodiment of the present invention;

[0051] Figure 2 is a schematic diagram of the main interface of a ship energy efficiency management system according to an embodiment of the present invention;

[0052] Figure 3 is a schematic diagram of a daily electrical equipment monitoring interface of a ship energy efficiency management system according to an embodiment of the present invention;

[0053] Figure 4 is a schematic diagram of a generator set monitoring interface of a ship energy efficiency management system according to an embodiment of the present invention;

[0054] Figure 5 It is a schematic diagram of the speed optimization interface of the ship energy efficiency management system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict.

[0056] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0057] like Figure 1 As shown, this embodiment provides a ship energy efficiency management system, which establishes a ship energy efficiency model by calling real ship data, calculates and evaluates the ship's energy efficiency and energy-saving indicators, and generates optimization suggestions. The system includes: a data acquisition module, an energy efficiency analysis module, a decision support module, a user interface module and an offline analysis module.

[0058] The data acquisition module is used to collect fuel consumption data, energy efficiency parameters, emission data and external environmental information during the ship's voyage, and the external environmental information includes ocean currents, wind and weather conditions; the data acquisition module is connected to ship sensors and other monitoring equipment to achieve real-time and comprehensive data collection, providing reliable data support for subsequent energy efficiency analysis and decision-making.

[0059] The energy efficiency analysis module is used to process the information collected by the data acquisition module in real time, and analyze the current energy efficiency indicators of the ship according to the built-in energy efficiency model. The energy efficiency model takes into account factors such as ship resistance, speed, and external environment. By calculating parameters such as the ship's fuel efficiency, speed, and emission level, it analyzes the energy efficiency of the ship in its current state. The energy efficiency analysis module can identify potential energy efficiency improvement space in ship operation and provide basic data support for the decision support module. The energy efficiency model includes a ship resistance model and a main engine speed model. The ship resistance model calculates the resistance of the ship at the current speed based on the ship's navigation status and environmental information; the main engine speed model is used to determine the relationship between the speed and the main engine speed, and evaluate the fuel consumption rate at different speeds.

[0060] The decision support module formulates and optimizes the ship's operation strategy based on the results of the energy efficiency analysis module and combined with indicators such as the Energy Efficiency Operation Index (EEOI). EEOI is a ship energy efficiency evaluation indicator calculated by fuel consumption and emissions. The smaller the value, the higher the ship's energy efficiency. The decision support module evaluates the speed, route and trim under different conditions based on EEOI and generates optimization suggestions, including:

[0061] Speed ​​optimization: Under the current sea conditions, wind power, fuel consumption and other conditions, the decision support module calculates the EEOI value at different speeds, selects the speed with the least fuel consumption, and guides the ship to sail at the optimal speed;

[0062] Route optimization: The system calculates the fuel consumption of different routes based on the voyage requirements and environmental conditions to select the shortest and most economical route. In route planning, the system comprehensively considers factors such as ocean currents, wind, and waves to reduce sailing time and fuel consumption.

[0063] Trim optimization: The system will adjust the longitudinal balance of the ship based on the ship's load and fuel consumption to ensure that the ship is at the optimal trim angle to reduce sailing resistance and improve fuel efficiency.

[0064] From an operational perspective, reducing the speed is a very effective way to improve energy efficiency. The principle of improving ship energy efficiency through speed optimization is mainly based on the fuel consumption law of ships at different speeds. During ship navigation, there is a nonlinear relationship between fuel consumption and speed, that is, as the speed increases, fuel consumption shows a nonlinear increasing trend. The fuel consumption model of traditional ships shows that when the speed is increased to a certain level, fuel consumption will increase significantly. Therefore, in order to achieve the best fuel efficiency, it is necessary to find a balance point so that the ship can complete the transportation task with lower fuel consumption at this speed. In the energy efficiency management system of the present invention, by calculating the EEOI values ​​of the ship at different speeds, the optimal speed corresponding to the lowest EEOI can be found, thereby determining the optimal travel speed of the ship under the current environmental conditions.

[0065] In the ship energy efficiency management system, EEOI (Energy Efficiency Operation Index) is one of the key indicators used to measure the energy efficiency of the ship during navigation. The calculation of EEOI takes into account fuel consumption, emissions and the transportation efficiency of the ship. By optimizing the value of EEOI, the most fuel-efficient speed can be selected for the ship, reducing fuel costs and reducing carbon dioxide emissions.

[0066] EEOI represents the carbon dioxide emissions per unit of freight or passenger transport, and the formula is as follows:

[0067]

[0068] Where j is the fuel type; FC j is the total amount of fuel consumed by the ship during navigation; C Fj is the CO2 emission factor, which refers to the mass of CO2 emitted per ton of fuel consumed; m cargo is the load; D is the mileage of the ship, which refers to the actual distance the ship sails during transportation operations.

[0069] The smaller the EEOI value, the higher the energy efficiency of the ship, that is, the lower the fuel consumption and CO2 emissions at the same transport volume. Therefore, the goal of EEOI optimization is to reduce the EEOI value and reduce fuel consumption by selecting an appropriate speed.

[0070] In order to calculate the trend of EEOI changing with speed, the system uses the relationship model between ship speed and main engine speed. The formula is as follows:

[0071]

[0072] Among them, V 0i is the ship's speed against water, J is the propeller advance coefficient, ω is the wake fraction, n i is the host speed.

[0073] At the same time, the relationship between the fuel consumption per unit time Q and the speed V0 can be expressed by the following formula:

[0074]

[0075] Among them, C t is the total resistance coefficient of the ship; ρ is the water density; S is the wetted surface area of ​​the hull; η ds is the ship propulsion efficiency; η s is the shaft transmission efficiency; b e is the main engine fuel consumption rate.

[0076] Will As parameter C1, we can get

[0077] The functional relationship between the ship's water speed and the main engine speed, as well as the coefficient C1, can be obtained through the design parameters of the ship when it leaves the factory and the ship model test parameters. In the absence of experimental data, it can also be obtained by curve fitting calculation based on the measured data.

[0078] The effect of water flow on ship speed can be expressed as:

[0079]

[0080] Among them, Vs i为 Ship speed to shore; V 0i V is the ship's speed over water; wi is the water flow velocity.

[0081] The sailing time of the ship on this voyage can be expressed as:

[0082]

[0083] Combining the above formula, we can get the fuel consumption of the i-th segment:

[0084]

[0085] So we can get the relationship model between host speed and EEOI:

[0086]

[0087] According to the above analysis, the EEOI and ship main engine speed model and optimization constraints can be obtained:

[0088]

[0089] The above optimization algorithm is used to optimize and solve the EEOI and ship main engine speed model to obtain the optimal speed.

[0090] The user interface module provides a clear and intuitive graphical interface for crew members and managers to view energy efficiency data, optimization suggestions and ship operation status. The interface module includes multiple sub-interfaces, which display various energy efficiency parameters and decision-making suggestions respectively:

[0091] Speed ​​monitoring interface: displays the current speed, recommended optimal speed and current fuel consumption status, so that the crew can adjust the ship speed according to actual needs;

[0092] Energy efficiency indicator display interface: real-time display of fuel efficiency, emission level and EEOI value, and trend analysis of historical data to help crew understand the long-term operation status and energy-saving effect of the ship;

[0093] Decision-making suggestion interface: displays suggestions for speed optimization, route optimization and trim optimization. The system provides specific operation guidance according to different voyages and environmental conditions, so that the crew can adjust the operation in time.

[0094] like Figure 2-5 Demonstrates various monitoring interfaces displayed by the user interface module.

[0095] The offline analysis module is used for data analysis and report generation after the voyage. This module uses historical voyage data to retrospectively analyze the energy efficiency of the ship based on the ship resistance model, main engine speed model and EEOI model, and generates a detailed energy efficiency report. This report provides data support for managers to help them conduct a comprehensive assessment of the ship's operating status and make optimization decisions in subsequent voyages. Through offline analysis, the system can identify energy efficiency deficiencies in past voyages and formulate improvement measures to further optimize the ship's energy efficiency performance in future voyages.

[0096] In summary, the present invention provides a ship energy efficiency management system, which includes: a data acquisition module, an energy efficiency analysis module and a decision support module.

[0097] The data acquisition module is connected to the ship's sensors and other monitoring equipment to collect the ship's fuel consumption data, energy efficiency parameters and external environment data in real time.

[0098] The energy efficiency analysis module processes the information collected by the data acquisition module in real time, calculates the parameters required by the decision support module, and provides basic data support for the decision support module.

[0099] The decision support module generates optimization suggestions for ship speed based on the results of the energy efficiency analysis module and the EEOI index.

[0100] The following is the optimization algorithm that generates optimization suggestions:

[0101] EEOI represents the carbon dioxide emissions per unit load, and the formula is as follows:

[0102]

[0103] Where j is the fuel type; FC j is the total amount of fuel consumed by the ship during navigation; C Fj is the CO2 emission factor, which refers to the mass of CO2 emitted per ton of fuel consumed; m cargo is the load; D is the mileage of the ship, which refers to the actual distance the ship sails during transportation operations.

[0104] The smaller the EEOI value, the higher the energy efficiency of the ship, that is, with the same transport volume, the fuel consumption and CO2 emissions are lower. Therefore, the goal of EEOI optimization is to reduce the EEOI value and reduce fuel consumption by selecting an appropriate speed.

[0105] The relationship model between ship speed and main engine speed and the relationship model between fuel consumption per unit time and speed are established, and finally the EEOI and ship main engine speed model and optimization constraints are obtained.

[0106] The above optimization algorithm is used to optimize and solve the EEOI and the ship main engine speed model, obtain the optimal speed, and generate optimization suggestions for the ship speed.

[0107] The steps in the present invention can be adjusted in order, combined or deleted according to actual needs.

[0108] The units in the device of the present invention can be combined, divided and deleted according to actual needs.

[0109] Although the present invention is disclosed in detail with reference to the accompanying drawings, it should be understood that these descriptions are merely exemplary and are not intended to limit the application of the present invention. The scope of protection of the present invention is defined by the appended claims and may include various modifications, alterations and equivalents made to the invention without departing from the scope and spirit of the present invention.

Claims

1. A ship energy efficiency management system, characterized in that: The system includes: a data acquisition module, an energy efficiency analysis module and a decision support module; The data acquisition module is connected to the ship's sensors and other monitoring equipment to collect the ship's fuel consumption data, energy efficiency parameters and external environment data in real time; The energy efficiency analysis module processes the information collected by the data acquisition module in real time, calculates the parameters required by the decision support module, and provides basic data support for the decision support module; The decision support module generates optimization suggestions for ship speed based on the results of the energy efficiency analysis module and the EEOI index; The following is the optimization algorithm that generates optimization suggestions: EEOI represents the carbon dioxide emissions per unit load, and the formula is as follows: Where j is the fuel type; FC j is the total amount of fuel consumed by the ship during navigation; C Fj is the CO2 emission factor, which refers to the mass of CO2 emitted per ton of fuel consumed; m cargo is the load; D is the mileage of the ship, which refers to the actual distance the ship sails in the transportation operation; The smaller the EEOI value, the higher the energy efficiency of the ship, that is, with the same transport volume, the fuel consumption and CO2 emissions are lower. The goal of EEOI optimization is to reduce the EEOI value and reduce fuel consumption by selecting an appropriate speed; Establish the relationship model between ship speed and main engine speed and the relationship model between fuel consumption per unit time and speed, and finally obtain the EEOI and ship main engine speed model and optimization constraints; The above optimization algorithm is used to optimize and solve the EEOI and the ship main engine speed model, obtain the optimal speed, and generate optimization suggestions for the ship speed.

2. The ship energy efficiency management system according to claim 1, characterized in that: The formula of the relationship model between the ship speed and the main engine speed is as follows: Among them, V 0i is the ship's speed against water, J is the propeller advance coefficient, ω is the wake fraction, n i is the host speed.

3. The ship energy efficiency management system according to claim 1, characterized in that: The formula of the relationship model between the fuel consumption per unit time and the speed is as follows: Among them, Q is the fuel consumption per unit time, V0 is the speed, C t is the total resistance coefficient of the ship; ρ is the water density; S is the wetted surface area of ​​the hull; η ds is the ship propulsion efficiency; η s is the shaft transmission efficiency; b e is the main engine fuel consumption rate; Will As parameter C1, we can get 4. The ship energy efficiency management system according to claim 1, characterized in that: In the optimization algorithm, water flow will affect the speed, which can be expressed as: Among them, V si V is the ship's speed to the shore; 0i V is the ship's speed over water; wi is the water flow velocity.

5. The ship energy efficiency management system according to any one of claims 1 to 4, characterized in that: The reasoning process of the EEOI and ship main engine speed model and optimization constraints is as follows: Calculate the ship's sailing time on this voyage: The fuel consumption of the i-th segment can be obtained: So we can get the relationship model between host speed and EEOI: According to the above analysis, the EEOI and ship main engine speed model and optimization constraints can be obtained:

6. The ship energy efficiency management system according to claim 1, characterized in that: The system further comprises: a user interface module; The user interface module provides a clear and intuitive graphical interface for crew members and managers to view energy efficiency data, optimization suggestions and ship operation status. The user interface module includes multiple sub-interfaces, which display various energy efficiency parameters and decision-making suggestions respectively: Speed ​​monitoring interface: displays the current speed, recommended optimal speed and current fuel consumption status, so that the crew can adjust the ship speed according to actual needs; Energy efficiency indicator display interface: real-time display of fuel efficiency, emission level and EEOI value, and trend analysis of historical data to help crew understand the long-term operation status and energy-saving effect of the ship; Decision-making suggestion interface: displays suggestions for speed optimization, route optimization and trim optimization. The system provides specific operation guidance according to different voyages and environmental conditions, so that the crew can adjust the operation in time.

7. The ship energy efficiency management system according to claim 1, characterized in that: The system further comprises: an offline analysis module; the offline analysis module calls historical navigation data, performs a retrospective analysis on the energy efficiency of the ship, and generates a detailed energy efficiency report.

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