JP5889227B2 - Operation plan support system and operation plan support method - Google Patents

Description

  The present invention relates to an operation plan support system, and more particularly to an operation plan support system for a large vessel including an exhaust heat recovery device and an energy storage device.

  In the current technology, some manufacturers have commercialized systems for general ships. In general ships, the power in the residential area is almost constant, and most of the energy is consumed by the propulsion unit.

  Even now, the operation according to the weather, the sea condition, etc. often relies on the experience and intuition of the captain. Ship operation information is only used for the duration of the voyage, is rarely acquired and stored as a database, and is not used for the next voyage.

  In addition, unlike large ships, large passenger ships, etc., use a lot of electricity in the residential area in parallel with the propulsion unit. However, when demand (Demand) is generated, just generate electricity according to the demand. Yes, current optimization is not considered.

  In addition, the demand for chilled water and hot water used for on-board cooling and heating is not predicted in advance, but only a necessary amount is generated at a necessary stage, and efficiency is not considered.

  Thus, there is still much room for improvement in the field of operation planning support systems for large ships.

[Known technology]
As a publicly known technique in this technical field, “exhaust heat recovery system” is disclosed in Patent Document 1 (Japanese Patent Laid-Open No. 2012-117497). In this exhaust heat recovery system, the absorption chiller can be operated by effectively using the heat medium heated by the exhaust heat of the main engine regardless of whether the ship is sailing or anchored.

  Patent Document 2 (Japanese Patent Laid-Open No. 2011-230535) and Patent Document 3 (Japanese Patent Laid-Open No. 2011-020620) disclose “car carriers”. In these “car carriers”, the characteristics of the car carriers provided with storage batteries are disclosed.

  However, these are mainly technologies related to the configuration of equipment and systems, and are not considered for the quantitative evaluation method of fuel consumption of a ship exhaust heat recovery system having an energy storage device such as a heat storage device or a power storage device. The optimum operation / operation plan was not prepared.

  Further, paragraph 0005 of Patent Document 4 (Japanese Patent No. 4984107) describes the difficulty and problem of optimization calculation when a heat storage device is added to a cogeneration plant. The case where the power storage device is added is the same as the above, and when both the heat storage device and the power storage device are added, the number of combinations of devices further increases, so that the amount of calculation is considered to be enormous.

JP 2012-117597 A JP 2011-230535 A JP2011-020620A Japanese Patent No. 4984107

  As an example of a basic operation method in a ship having a heat storage device and a power storage device as an energy storage device, an engine and a boiler are charged and stored to the maximum extent during the operation of the ship, and these are discharged during berthing. Although it is conceivable to reduce the amount of fuel consumed, it is not possible to simply determine to what extent and at what timing during the berthing period it is optimal.

  Also, during operation, in addition to calculating the operating status of exhaust heat recovery equipment, it is optimal to minimize fuel consumption as a total by taking into account both peak shift of electric power and peak shift of heat using power storage / heat storage device at the same time It is necessary to perform computerized calculation, and very complicated and enormous calculation is required.

  An operation plan support system according to the present invention is an operation plan support system in a ship having a heat storage device and a power storage device as an energy storage device, and includes a mechanism for setting specifications of the heat storage device and the power storage device, a heat storage device, and a power storage device. Optimized by controlling the energy storage and release of energy, calculating the amount of energy stored in the heat storage device and the power storage device, and calculating the demand balance of the power system and heat system based on the amount of stored energy A mechanism for calculating fuel consumption.

  The operation plan support method according to the present invention is an operation plan support method implemented by an electronic device for a ship having a heat storage device and a power storage device as an energy storage device. In this operation plan support method, the specifications of the heat storage device and the power storage device are set. Also, energy storage / release to the heat storage device and the power storage device is controlled. Moreover, the amount of energy stored in the heat storage device and the power storage device is calculated. Moreover, based on the amount of stored energy, a demand balance calculation of the power system and the heat system is performed to calculate an optimized fuel consumption.

  The program according to the present invention is a program for causing a computer to execute the processing in the operation plan support method. The program according to the present invention can be stored in a storage device or a storage medium.

  It is possible to create an optimal operation plan for a ship equipped with an exhaust heat recovery system equipped with an energy storage device, and to operate with reduced fuel consumption.

It is a figure which shows the structural example of the operation plan assistance system which concerns on this invention. It is a figure which shows the example of the system | strain model of a ship waste heat recovery system. It is explanatory drawing in the case of extracting a feature-value from the predicted energy demand. It is. It is explanatory drawing in the case of dividing | segmenting into a some area | region based on the fluctuation | variation of the feature-value.

<First Embodiment>
Hereinafter, a first embodiment of the present invention will be described with reference to the accompanying drawings.

  In the present embodiment, a specific operation planning method is proposed for operation with minimum fuel consumption using an energy storage device (power storage device, heat storage device, or both).

[System configuration]
As shown in FIG. 1, the operation plan support system according to the present embodiment includes a fuel consumption control unit 10 and an operation plan creation unit 20.

  The fuel consumption control unit 10 performs calculations for improving fuel consumption efficiency in a ship having a heat storage device and a power storage device as an energy storage device, and accumulates energy (storage / heat storage) to the maximum during operation of the ship. The optimal timing and amount for releasing the stored energy are calculated, and the stored energy is released at the optimal timing and amount.

  The operation plan creation unit 20 extracts feature amounts from the onboard energy demand prediction data, and performs optimization calculation for creating an operation plan (operation pattern) based on the feature amounts. At this time, the operation plan creation unit 20 uses a system model of a ship exhaust heat recovery system including a power storage device and a heat storage device as shown in FIG. 2 to supply and demand heat demand / power demand and heat supply / power generation amount. Perform balance calculation.

[Fuel consumption control unit]
The fuel consumption amount control unit 10 includes a power storage amount control unit 11 and a heat storage amount control unit 12.

  The power storage amount control unit 11 controls the energy storage / release to the power storage device when the main specifications (number, capacity, installed system, efficiency, loss, etc.) of the power storage device are set, and the amount of stored energy It has a function to calculate

  The heat storage amount control unit 12 controls the energy storage / release to the heat storage device and the amount of stored energy when the main specifications (number, capacity, installed system, efficiency, loss, etc.) of the heat storage device are set. It has a function to calculate In the case of a heat storage device, the temperature decreases with the passage of time and the amount of heat energy decreases.

[Operation planning section]
The operation plan creation unit 20 includes a feature amount extraction unit 21, a prediction data division unit 22, and an optimization calculation unit 23.

  The feature amount extraction unit 21 extracts a feature amount from the energy demand prediction data in the ship. Here, as shown in FIG. 3, the maximum value, the minimum value, and the average value for each predetermined period (for example, 3 hours) are assumed as examples of the feature amount. In FIG. 3, only power demand is shown as an example of energy demand, but the same applies to heat demand. Alternatively, a calculation such as a smoothing filter or a moving average may be performed on the energy demand prediction data, and the result may be used as a feature amount. By using these, it is possible to reduce the amount of calculation compared to using the energy demand prediction data as it is.

  The prediction data dividing unit 22 divides the operation plan period into a plurality of periods, and performs optimization calculation for each time interval. However, if this time interval is short, the amount of calculation increases exponentially. Conversely, if the time interval is too long, a sufficient optimization effect cannot be obtained. In the present embodiment, the prediction data dividing unit 22 divides the calculation target period into regions of about several patterns (a constant region, a region with a small variation, a region with a large variation, etc.) based on the variation state of the feature amount. To do. Note that the region where the variation is small refers to a region where the variation range is less than or equal to a predetermined threshold value. On the other hand, a region where the variation is large refers to a region where the variation range is greater than or equal to a predetermined threshold. For example, as shown in FIG. 4, the power demand data and the heat demand data are divided into regions of about several patterns according to the fluctuation state with respect to the onboard energy demand prediction data. Although FIG. 4 shows only power demand as an example of energy demand, the same applies to heat demand.

  The optimization calculation unit 23 performs optimization calculation for creating an operation plan using the above-described region. For example, optimization calculation applying a mathematical optimization method (mixed integer programming) or the like is performed. The amount of calculation can be reduced by treating the above regions as a group (group) of time intervals for each pattern and excluding regions with larger fluctuations from the optimization target.

[Operations and effects unique to this embodiment]
In this embodiment, in the calculation for improving the fuel consumption efficiency, the calculation of power demand using the power storage device, the calculation of heat demand using the heat storage device are added, and the mathematical optimization method (mixed integer programming) etc. Performs optimization calculation applying.

  The above calculation includes a function of controlling energy storage / release to these devices and a function of calculating the amount of stored energy when main specifications of the heat storage device and the power storage device are set. In the case of a heat storage device, the temperature decreases with the passage of time and the amount of heat energy decreases.

  The power demand data and heat demand data are divided into areas of about several patterns according to the fluctuation situation with respect to the energy demand prediction data in the ship. The amount of calculation can be reduced by treating these areas as a group of time intervals for each pattern and excluding the areas with larger fluctuations from the optimization target.

  By applying this embodiment, the amount of calculation can be significantly reduced compared to the case where all time series data is used as energy demand prediction data. Furthermore, it is possible to create an optimal operation plan for a ship equipped with an exhaust heat recovery system equipped with an energy storage device, and to operate with reduced fuel consumption.

Second Embodiment
The second embodiment of the present invention will be described below.

  In this embodiment, the operation plan created based on the optimization calculation is stored as a database, and when the subsequent operation plan is created, it is checked whether the accumulated operation plan is available, and whether or not the optimization calculation is necessary. Judging.

  The configuration of the operation plan support system according to the present embodiment is basically the same as that of the first embodiment. Hereinafter, only differences from the first embodiment will be described.

  In the present embodiment, the optimization calculation unit 23 performs, in advance (in advance), an optimization calculation for creating an optimal operation plan for a typical input condition (weather / sea state forecast, route, energy demand pattern, etc.) offline. This information (input conditions and optimum operation plan) is stored (database) in a database.

  Moreover, the optimization calculation unit 23 searches for the corresponding input condition by comparing (matching) the current input condition with the input condition stored in the database when a new operation plan is made. When communication is performed to check the corresponding input condition, it is confirmed whether the optimum operation plan corresponding to the detected input condition satisfies the evaluation index. When the optimum operation plan corresponding to the detected input condition satisfies the evaluation index, the optimum operation plan is adopted without performing a new optimization calculation. Thereby, calculation load can be reduced.

  As an example of the evaluation index, the deviation of the maximum value, the average value, the minimum value, etc. for each fixed time of the time series data of the input condition of the database and the current input condition can be considered. For example, when any or all of the deviations of the maximum value, the average value, and the minimum value are equal to or less than a predetermined threshold (10%), it is determined that the evaluation index is satisfied.

<Relationship between each embodiment>
Note that the above embodiments can be implemented in combination.

<Example of hardware>
Below, the example of the concrete hardware for implement | achieving the operation plan support system which concerns on this invention is demonstrated.

  Although not shown, the operation plan support system according to the present invention includes a processor that is driven based on a program and executes predetermined processing, a memory that stores the program and various data, and an interface used for communication with a network. It may be realized by an electronic device such as a computer.

  Examples of the processor include a CPU (Central Processing Unit), a network processor (NP), a microprocessor, a microcontroller (microcontroller), or a semiconductor integrated circuit (LSI: Large Scale) having a dedicated function. Integration) or the like.

  Examples of the memory include semiconductor storage devices such as a RAM (Random Access Memory), a ROM (Read Only Memory), an EEPROM (Electrically Erasable and Programmable Read Only Memory), a flash memory, and an HDD (Hold SMD). An auxiliary storage device such as State Drive), a removable disk such as a DVD (Digital Versatile Disk), a storage medium such as an SD memory card (Secure Digital memory card), or the like is conceivable. Further, a buffer, a register, or the like may be used. Alternatively, DAS (Direct Attached Storage), FC-SAN (Fibre Channel-Storage Area Network), NAS (Network Attached Storage), IP-SAN (IP-Storage Area), etc. may be used.

  Note that the processor and the memory may be integrated. For example, in recent years, a single chip such as a microcomputer has been developed. Therefore, a case where a one-chip microcomputer mounted on an electronic device or the like includes the processor and the memory can be considered.

  Examples of the interfaces include semiconductor integrated circuits such as substrates (motherboards and I / O boards) and chips that support network communication, network adapters such as NIC (Network Interface Card), and similar expansion cards and communication devices such as antennas. A communication port such as a connection port (connector) is conceivable.

  Examples of the network include the Internet, a LAN (Local Area Network), a wireless LAN (Wireless LAN), a WAN (Wide Area Network), a backbone (Backbone), a cable television (CATV) line, a fixed telephone network, a mobile phone network, WiMAX (IEEE 802.16a), 3G (3rd Generation), dedicated line (lease line), IrDA (Infrared Data Association), Bluetooth (registered trademark), serial communication line, data bus, and the like can be considered.

  The internal components of the operation plan support system may be a module, a component, a dedicated device, or an activation (calling) program thereof.

  However, actually, it is not limited to these examples.

<Remarks>
As mentioned above, although embodiment of this invention was explained in full detail, actually, it is not restricted to said embodiment, Even if there is a change of the range which does not deviate from the summary of this invention, it is included in this invention.

DESCRIPTION OF SYMBOLS 10 ... Fuel consumption control part 11 ... Power storage amount control part 12 ... Heat storage amount control part 20 ... Operation plan preparation part 21 ... Feature-value extraction part 22 ... Prediction data division part 23 ... Optimization calculation part

Claims (6)

An operation plan support system in a ship having a heat storage device and a power storage device as an energy storage device,
Means for setting specifications of the heat storage device and the power storage device;
Means for controlling energy storage and release to the heat storage device and the power storage device;
Means for calculating an amount of energy stored in the heat storage device and the power storage device;
Based on the amount of stored energy, calculating a demand balance of the power system and the heat system, and calculating an optimized fuel consumption ;
Means for extracting a maximum value, a minimum value, and an average value for each predetermined time from the energy demand prediction data in the ship,
Means for dividing the calculation target period into a plurality of regions based on the fluctuation state of the feature amount;
Means for treating each of the plurality of regions as a group of time intervals, excluding regions where the width of variation is greater than a threshold, and reducing the amount of calculation;
An operation plan support system comprising: means for performing optimization calculation based on the feature amount and creating an operation plan. The operation plan support system according to claim 1,
The operation plan is created by performing the optimization calculation with respect to prior input conditions,
The operation plan support system further
Means for storing the input conditions and the operation plan in a database;
When creating a new operation plan, the current input condition is compared with the input condition stored in the database to detect the corresponding input condition, and the operation plan corresponding to the detected input condition satisfies the evaluation index. case, new without performing optimization calculation, operation planning support system for ingredients Bei and means for employing the operation plan that satisfies the evaluation index. An operation plan support method implemented by an electronic device for a ship having a heat storage device and a power storage device as an energy storage device,
Setting specifications of the heat storage device and the power storage device;
Controlling energy storage and release to the heat storage device and the power storage device;
Calculating the amount of energy stored in the heat storage device and the power storage device; calculating a demand balance of the power system and the heat system based on the amount of stored energy; and calculating an optimized fuel consumption amount ;
Extracting the maximum value, minimum value, and average value for each fixed time from the energy demand forecast data in the ship,
Dividing the calculation target period into a plurality of regions based on the variation state of the feature amount;
Treating each of the plurality of regions as a group of time intervals, excluding regions where the width of variation is greater than a threshold, and reducing the amount of computation;
An operation plan support method including performing an optimization calculation based on the feature amount and creating an operation plan. The operation plan support method according to claim 3 ,
The operation plan is created by performing the optimization calculation with respect to prior input conditions,
The operation plan support method is further
Storing the input conditions and the operation plan in a database;
When creating a new operation plan, the current input condition is compared with the input condition stored in the database to detect the corresponding input condition, and the operation plan corresponding to the detected input condition satisfies the evaluation index. In some cases, the operation plan support method further includes adopting an operation plan that satisfies the evaluation index without performing a new optimization calculation. A program executed by an electronic device for a ship having a heat storage device and a power storage device as an energy storage device,
Setting the specifications of the heat storage device and the power storage device;
Controlling energy storage and release to the heat storage device and the power storage device;
Calculating the amount of energy stored in the heat storage device and the power storage device;
Performing a demand balance calculation of the power system and the heat system based on the amount of stored energy, and calculating an optimized fuel consumption ;
Extracting a maximum value, a minimum value, and an average value for each predetermined time from the energy demand prediction data in the ship,
Dividing the calculation target period into a plurality of regions based on the fluctuation state of the feature amount;
Treating each of the plurality of regions as a group of time intervals, excluding regions where the width of variation is greater than a threshold, and reducing the amount of computation;
A program for causing an electronic device to execute an optimization calculation based on the feature amount and create an operation plan . The program according to claim 5 ,
The operation plan is created by performing the optimization calculation with respect to prior input conditions,
The program further
Storing the input condition and the operation plan in a database;
When creating a new operation plan, the current input condition is compared with the input condition stored in the database to detect the corresponding input condition, and the operation plan corresponding to the detected input condition satisfies the evaluation index. in this case, without performing a new optimization calculation, and a step of employing the operation plan that satisfies the evaluation index to the electronic device
Program.

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