JP5859469B2 - Energy management system and energy management method - Google Patents

Description

  The present invention relates to an energy management system, and more particularly to an energy management system that performs ship energy use prediction and use optimization.

  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.

  Further, the demand for chilled water / warm water used for in-air cooling / 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 known technique in this technical field, Patent Document 1 (Japanese Patent Application Laid-Open No. 2011-149327) discloses an “engine exhaust energy recovery device”. In this technique, the exhaust gas bypass valve is controlled so that the engine fuel consumption rate becomes a predetermined value or less depending on the engine load and the rotational speed, and surplus exhaust gas is supplied to the hybrid turbocharger (Hybrid Turbo). Make effective use of exhaust gas.

  Patent Document 2 (Japanese Patent Laid-Open No. 2012-117697) discloses an “exhaust heat recovery system”. In this technique, regardless of whether the ship is sailing or anchored, the heat absorption type refrigerator can be operated by effectively using the heat medium heated by the exhaust heat of the main engine.

  However, the above technologies are all related to the configuration and operation plan of the system alone, and include a waste heat recovery system having a waste heat recovery device (hybrid supercharger, waste heat recovery power generation device), a power generation system, and the like. There is no mention of a quantitative evaluation method for overall fuel consumption, and an optimal operation plan for the entire ship has not been created. In addition, specific calculation methods such as inboard power, heat load, and air conditioning load, and application methods are not included.

JP 2011-149327 A JP 2012-117597 A

  In the present invention, a quantitative evaluation method for fuel efficiency of the entire ship including an exhaust heat recovery system having an exhaust heat recovery device (hybrid supercharger, exhaust heat recovery power generation device) and a power generation system, an optimal operation plan for the entire ship, In addition, we propose specific calculation methods and application methods such as ship power, heat load, and air conditioning load.

  An energy management system according to the present invention is an energy management system in a ship having an engine generator and an exhaust heat recovery device as a power generation system, and includes a mechanism for inputting power / heat demand of the entire ship, Power generation / propulsion engine that minimizes fuel consumption by calculating the demand balance of power system and heat system that satisfy the heat demand and target value for at least one of ship speed / propulsion output / engine output / fuel consumption rate A mechanism that calculates the optimum point of output and exhaust heat recovery equipment output, and a mechanism that outputs each command value for power generation / propulsion engine output, exhaust heat recovery equipment output, and inboard equipment operation control based on the optimum point Prepare.

  An energy management method according to the present invention is an energy management method that is implemented in a ship having an engine generator and an exhaust heat recovery device as a power generation system, and that inputs the power / heat demand of the entire ship, and the entire ship For power generation / minimization of fuel consumption by calculating the demand balance of power system and heat system satisfying the target value in at least one of ship power / heat demand and ship speed / propulsion output / engine output / fuel consumption rate Calculates the optimum point for propulsion engine output and exhaust heat recovery equipment output, and outputs each command value for power generation / propulsion engine output, exhaust heat recovery equipment output, and inboard equipment operation control based on the optimum point Including doing.

  The program which concerns on this invention is a program for making electronic devices, such as a computer, perform the process in said energy management method. The program according to the present invention can be stored in a storage device or a storage medium.

  A simple method always optimizes exhaust heat recovery equipment and front engine output for the entire ship, enabling low fuel consumption operation.

It is a figure which shows the structural example of the energy management system which concerns on 1st Embodiment of this invention. It is a figure which shows the structural example of the energy management system which concerns on 2nd Embodiment of this invention. It is a flowchart of the basic calculation process of the optimal fuel consumption calculation which concerns on 2nd Embodiment. It is a flowchart of the calculation process which added the air-conditioning optimization process. It is a flowchart of the calculation process which added the initial value setting process of the heat supply amount. It is the first half of the flowchart of the calculation process at the time of waste heat recovery equipment addition. It is the second half of the flowchart of the calculation process at the time of exhaust heat recovery equipment addition. It is a figure showing an example of composition of an energy management system concerning all the embodiments of the present invention.

  The present invention provides a method for calculating an optimal operation plan for inboard equipment based on forecast data such as weather when performing a ship operation plan, and a calculation technique for outputting an equipment operation command value that optimizes the fuel consumption of the ship in real time. Is included.

<First Embodiment>
The first embodiment of the present invention will be described below.

  In the present embodiment, a calculation method for outputting a device operation command value that optimizes the fuel efficiency of a ship in real time will be described.

  In the present embodiment, as a waste heat recovery device, at least one of “hybrid turbocharger” and “exhaust heat recovery power generation device” (both are possible) is used to effectively utilize the waste heat energy. , On the basis of weather / sea conditions and other arbitrary conditions, an optimal operation calculation for minimizing fuel consumption is performed in real time (during operation) for inboard equipment including the engine and exhaust heat recovery equipment.

  That is, the target ship has added a power generation system separately from the engine generator. As an example of the target ship, a ship having a diesel engine on which a hybrid supercharger can be mounted is assumed. The use of the diesel engine may be either propulsion / power generation. Moreover, a steam turbine, a power turbine, etc. are known as an example of an exhaust heat recovery power generation device.

  The energy management system according to the present embodiment has a function of controlling main specifications (power generation capacity, efficiency, loss, influence on engine fuel consumption rate) of exhaust heat recovery equipment and output power of the exhaust heat recovery equipment.

[Energy management system]
As shown in FIG. 1, the energy management system according to the present embodiment includes an input value acquisition unit 11, a target value setting unit 12, a command value calculation unit 13, and a command value output unit 14.

[Input value acquisition unit]
The input value acquisition unit 11 inputs power / heat demand for the entire ship. For example, the input value acquisition unit 11 inputs real-time shipboard data, main engine data, and exhaust heat recovery equipment data. Examples of real-time ship data include ship power load, heat load, air conditioning load, propulsion energy, and the like. Examples of main engine data include engine output, fuel consumption rate, fuel injection timing, and the like. Examples of the exhaust heat recovery equipment data include a power generation load factor, an exhaust bypass valve opening, a scavenging pressure, a scavenging temperature, and the like.

[Target value setting section]
The target value setting unit 12 sets a target value (parameter) for optimal operation calculation of the ship. For example, the target value setting unit 12 sets at least one item from the items of ship speed, propulsion output, power generation / propulsion engine output, each engine fuel consumption rate, and total fuel consumption rate as a target of the optimal operation calculation of the ship. Select the target value.

[Command value calculation section]
The command value calculation unit 13 calculates a power generation / propulsion engine output command value, an exhaust heat recovery device operation command value, an inboard device operation command value, a main engine optimum control command value, and the like. Therefore, the power / heat demand of the entire ship and the supply / demand balance calculation of the ship's power system (power system) and heat system (heat system) including the exhaust heat recovery equipment that satisfies the target value are calculated. A calculation model simulating the operation plan of the power system / heat system is used for the power supply / heat balance calculation. For example, the supply and demand balance calculation uses a root finding algorithm based on an iterative method such as a bisection method or a Newton method. When calculating the heat system including waste heat recovery equipment, calculate the excess or deficiency in each system (high-pressure steam, low-pressure steam, hot water, cold water, cooling water, etc.), and if there is a shortage, reheat the boiler (boiler) Calculations reflecting the actual machine configuration, such as operating a centrifugal chiller, are possible. The exhaust heat recovery equipment output and each engine output are subjected to the same iterative calculation to minimize fuel consumption on condition that the heat / power supply / demand balance and the target value are satisfied. At this time, the command value calculation unit 13 confirms whether the fuel consumption has improved. For example, the command value calculation unit 13 confirms whether the calculated fuel consumption is equal to or less than a predetermined threshold with respect to a predetermined threshold that is a target value of the fuel consumption, and the fuel consumption is equal to or less than the predetermined threshold. If not, recalculation is performed, and if the fuel consumption is equal to or less than a predetermined threshold, the current command value is maintained (driving command maintenance).

[Command value output section]
The command value output unit 14 outputs a power generation / propulsion engine output command value, an exhaust heat recovery device operation command value, an inboard device operation command value, a main engine optimum control command value, and the like. For example, the inboard equipment operation command value indicates an operation pattern of the inboard equipment. The main engine optimum control command value indicates the exhaust bypass valve opening, fuel injection timing, etc. for optimum operation of each engine.

  The inboard equipment including the power generation / propulsion engine and the exhaust heat recovery equipment operates efficiently according to the command value.

[Operations and effects unique to this embodiment]
The energy management system according to the present embodiment uses the power / heat demand in the ship as an input, performs an efficient power / heat balance calculation that satisfies target values such as ship speed, propulsion output, engine output, etc. Command values for engine output and exhaust heat recovery equipment output.

  Usually, since a ship has a power generation engine and a propulsion engine, the optimum point for minimizing fuel consumption (optimal value considering both engine output and exhaust heat recovery equipment output) changes from time to time with the above command value. It fluctuates from time to time depending on the power / heat demand on board. The energy management system calculates the optimum point, outputs a command value based on the optimum point, and controls the inboard equipment to reduce the fuel consumption of the ship.

  By applying this embodiment, it is possible to perform an efficient operation that covers the power / thermal energy demand in the ship equipped with the current exhaust heat recovery equipment and satisfies the target values such as the ship speed / engine output by a simple method. Become. In other words, the exhaust heat recovery device and the front engine output are always optimized for the entire ship, enabling low fuel consumption operation.

  The present embodiment can be applied to an inboard equipment control system / energy management system that efficiently operates ship equipment every moment during operation. That is, it can be incorporated into an actual ship.

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

  In the present embodiment, a method for calculating an optimum operation plan for inboard equipment based on prediction data such as weather when performing a ship operation plan will be described.

  In the present embodiment, as a waste heat recovery device, at least one of “hybrid turbocharger” and “exhaust heat recovery power generation device” (both are possible) is used to effectively utilize the waste heat energy. In the above, regarding the energy demand in which the generation time zone can be shifted, iterative calculation or optimum calculation in which the generation time zone is shifted according to the priorities set in advance (preliminarily) is performed, and an equipment operation plan capable of reducing fuel consumption is created.

  The energy management system according to the present embodiment inputs time-series energy demand prediction data before / during the operation of the ship, and uses the power / power of the ship including the exhaust heat recovery system and the power generation system having the exhaust heat recovery device. Calculate heat supply and demand balance, and calculate fuel consumption. The exhaust heat recovery device generates power using a part of the exhaust heat recovery energy in the heat system. Since the engine output and the engine fuel consumption rate fluctuate depending on the power generation amount of the exhaust heat recovery device, the optimum point at which the fuel consumption is minimized is calculated.

[Energy management system]
As shown in FIG. 2, the energy management system according to the present embodiment includes a prediction data creation unit 21, a fuel consumption calculation unit 22, an operation plan unit 23, an operation plan update unit 24, and an operation result storage unit 25. Is provided.

[Prediction data generator]
The prediction data creation unit 21 extracts and refers to similar cases from the past performance database for the voyage to be evaluated, and creates time-series prediction data (operation data, weather / sea state data, inboard energy demand prediction data). . When creating time-series energy demand forecast data, in addition to the operation plan, the generation of demand assumed in the inhabited area, shared facilities, amusement facilities, etc. (in the case of passenger ships) is considered. Each energy demand prediction data has attributes such as changeable occurrence time, changeable occurrence time, presence / absence of occurrence or uncertain occurrence time zone. Prioritize changeable demand in consideration of its absolute value and impact on others.

[Fuel consumption calculator]
The fuel consumption calculation unit 22 calculates a balance between supply and demand of the power system and heat system in the ship including the exhaust heat recovery equipment, and the time series fuel consumption, power consumption, heat consumption, and detailed operation plan of the ship equipment. Is calculated. The supply and demand balance calculation uses a root finding algorithm based on an iterative method such as a bisection method or a Newton method. When calculating the heat system, calculate the excess or deficiency in each system (high-pressure steam, low-pressure steam, hot water, cold water, cooling water, etc.) Calculations that reflect the configuration are possible. Furthermore, using the engine database that shows the relationship between the exhaust heat recovery equipment output, engine output, and engine fuel consumption rate according to the equipment characteristics of the ship and the operation method, the optimal (minimum) fuel can be obtained by iterative calculation similar to the above supply-demand balance calculation. Calculate consumption.

[Operation Planning Department]
The operation plan unit 23 performs an operation plan for inboard equipment. Therefore, the heat system is calculated when the heat demand is changed by the highest priority among the changeable demands by identifying the time zone in which the boiler or turbo chiller is operating without covering the heat demand with exhaust heat. I do. Further, the power system is calculated when the power demand is changed in descending order of priority among the demands that can be changed in the time zone. To change the time zone, the target time zone is divided into fixed time intervals, the generation timings are sequentially shifted within the range satisfying the constraint conditions, and the supply-demand balance calculation is performed again. Repeat the above calculation and select the one with the greatest fuel economy reduction effect.

[Operation plan update department]
The operation plan update unit 24 updates the operation plan of the onboard equipment. Here, during operation, the prediction data is updated in accordance with the update period of the prediction data. If the accumulated deviation from the original prediction data exceeds the allowable range, the fuel consumption calculation and the operation plan are executed again. The operation plan update unit 24 may be the same device / mechanism as the operation plan unit 23.

[Operation result memory]
The driving record storage unit 25 accumulates the difference between the record data and the prediction data in the record database after the operation, and feeds back (reflects) it to the next voyage.

[Basic calculation processing of optimal fuel consumption for ships]
With reference to FIG. 3, the basic calculation processing of the optimum fuel consumption of the ship at the time of creating the operation plan will be described.

(1) Step S101
The fuel consumption calculation unit 22 includes an operation plan (target ship speed, onboard equipment operating conditions), weather / sea state forecast, sunshine, time, direction of travel, position, passengers, crew data, shipboard event data, passenger occupancy rate forecast data. Enter. The fuel consumption calculation unit 22 receives these data from the prediction data creation unit 21. In real time calculation, real time data (actual data) is input.

(2) Step S102
The fuel consumption calculation unit 22 performs calculations based on various prediction models. For example, propulsion energy (horsepower or electric power) is calculated based on the propulsion device prediction model. Moreover, based on an air-conditioning prediction model, an inboard cooling / heating load is calculated. Alternatively, the total power value other than the propulsion system, the air conditioning system, and the heat system is calculated based on the power prediction model. These may be performed simultaneously / in order.

(3) Step S103
The fuel consumption amount calculation unit 22 determines load distribution of a heat source device that performs heat exchange such as a boiler and a heat source device that uses electric power such as a turbo chiller, based on a load distribution pattern set in advance (in advance). .

(4) Step S104
The fuel consumption calculation unit 22 sets an initial value of the power generation / propulsion engine output.

(5) Step S105
The fuel consumption calculation unit 22 calculates the total power generation amount based on the engine database prepared in advance (the power generation amount map for the engine output and the exhaust heat recovery heat amount map of each system (steam system, hot water system, etc.)). Calculate the total engine exhaust heat.

(6) Step S106
The fuel consumption calculation unit 22 calculates the total heat load of each heat system, the excess / deficiency heat amount, and the required power of the heat system based on the heat load prediction model.

(7) Step S107
The fuel consumption calculation unit 22 determines a heat load and a power load of a heat source device such as a boiler that is a supply source of the insufficient heat amount.

(8) Step S108
The fuel consumption calculation unit 22 again calculates the total heat load of each heat system, the excess / deficiency heat amount, and the required power of the heat system based on the heat load prediction model.

(9) Step S109
The fuel consumption calculation unit 22 confirms whether the heat shortage is equal to or less than a predetermined threshold.

(10) Step S110
When the heat shortage is not equal to or less than the predetermined threshold value (No in step S109), the fuel consumption amount calculation unit 22 changes the supply heat amount of the heat source device such as a boiler, and again determines each heat system based on the heat load prediction model. The total heat load, excess / deficiency heat amount, and required power of the heat system are calculated (transition to step S108).

(11) Step S111
If the heat shortage is equal to or less than the predetermined threshold (Yes in Step S109), the fuel consumption amount calculation unit 22 calculates the total required power amount.

(12) Step S112
The fuel consumption amount calculation unit 22 calculates the difference between the total power generation amount and the total required power amount.

(13) Step S113
The fuel consumption amount calculation unit 22 checks whether the difference between the total power generation amount and the total required power amount is equal to or less than a predetermined threshold value.

(14) Step S114
When the difference between the total power generation amount and the total required power amount is not equal to or less than the predetermined threshold (No in step S113), the fuel consumption amount calculation unit 22 performs a supply / demand balance calculation, changes the power generation / propulsion engine output, and again Then, the total power generation amount and the total engine exhaust heat amount are calculated (transition to step S105).

(15) Step S115
When the difference between the total power generation amount and the total required power amount is equal to or less than a predetermined threshold (Yes in step S113), the fuel consumption amount calculation unit 22 calculates the fuel consumption amount.

(16) Step S116
The fuel consumption amount calculation unit 22 determines the calculated fuel consumption amount as the optimum fuel consumption amount.

[Calculation method of each prediction model]
Below, the detail of the calculation method of each prediction model in said basic calculation process is demonstrated.

[Propulsion model]
The fuel consumption calculation unit 22 calculates the propulsion energy based on the target ship speed and the weather / sea state forecast by a propulsion energy calculation method using a ship-type characteristic database unique to the target ship.

[Air conditioning prediction model]
The fuel consumption calculation unit 22 uses an air-conditioning load calculation method that takes into account the room layout, shape, structure, material, interior product information, and air-conditioning equipment characteristics unique to the target ship, weather / sea conditions forecast, sunshine, progress Based on the direction, position, passenger, occupant data, inboard event data, passenger occupation rate prediction data, inboard equipment operating conditions, etc., the inboard air conditioning load is calculated.

[Power prediction model]
The fuel consumption calculation unit 22 supplies electric power (lighting, indoor equipment, engine auxiliary equipment, air conditioning auxiliary equipment, etc.) required for other than the propulsion system, the air conditioning system, and the thermal system among the electric power required for the target ship. Electricity characteristics, demand forecast database, weather / sea state forecast, sunshine, traveling direction, position, passenger, crew data, inboard event data, passenger occupancy forecast data, inboard equipment operating conditions, etc. To calculate the total power value on board.

[Heat load prediction model]
The fuel consumption calculation unit 22 calculates the required heat amount and the required power amount of the equipment connected to each system in the heat system (steam system, hot water system, chilled water system, etc.) specific to the target ship. Using the load characteristics, power load characteristics, and heat demand prediction database, initial power generation / propulsion engine output, air conditioning load prediction, weather / sea forecast, sunshine, direction of travel, location, passengers, crew data, inboard events Based on the data, passenger occupancy rate prediction data, onboard equipment operating conditions, etc., each thermal load and electric energy are calculated. At this time, the total heat load, excess / deficiency heat amount, and required power of the heat system in each system of the heat system are calculated.

[Addition of air conditioning optimization processing]
With reference to FIG. 4, the case where the optimization process of an air conditioning is added to said basic calculation process (refer FIG. 3) is demonstrated. Here, only the difference from the basic calculation process will be described.

  As a difference from the above basic calculation process, the fuel consumption calculation unit 22 calculates the ship's total power value (after step S115), then the heat load of the heat source device that is the supply source of the insufficient heat amount, the power load Perform optimization processing.

(1) Step S201
The fuel consumption amount calculation unit 22 confirms whether the fuel consumption amount of the heat source device that is the supply source of the insufficient heat amount is optimum (minimum). If the fuel consumption is optimal (minimum) (Yes in step S201), the calculated fuel consumption is determined as the optimal fuel consumption (transition to step S116).

(2) Step S202
When the fuel consumption is not optimal (minimum) (No in step S201), the fuel consumption calculation unit 22 changes the load distribution of the heat source device and sets the initial value of the power generation / propulsion engine output again ( (Transition to step S104).

  Other processes are the same as the basic calculation process described above.

[Addition of heat supply initial value setting process]
With reference to FIG. 5, the case where the process which sets the initial value of the heat supply amount of heat source apparatuses, such as a boiler, is further added to said calculation process (refer FIG. 4) is demonstrated. Here, only the difference from the above calculation process will be described.

  As a difference from the above calculation processing, the fuel consumption calculation unit 22 calculates in advance the total heat load, excess / deficiency heat amount, and required power of the heat system based on the heat load prediction model. An initial value of the amount of heat supplied from a heat source device such as a boiler is set in advance.

(1) Step S301
After calculating the total power generation amount and the total engine exhaust heat amount (after step S105), the fuel consumption amount calculation unit 22 sets an initial value of the supply heat amount of a heat source device such as a boiler. Thereafter, based on the heat load prediction model, the total heat load of each heat system, the excess / deficiency heat amount, and the required power of the heat system are calculated (transition to step S108).

[Calculation process when adding waste heat recovery equipment]
With reference to FIG. 6A and FIG. 6B, the calculation process when the exhaust heat recovery device is further added in the calculation process (see FIG. 5) will be described. Here, only the difference from the above calculation process will be described.

  As a difference from the above calculation process, the fuel consumption calculation unit 22 performs an optimization process of the power generation load factor of the exhaust heat recovery device.

(1) Step S401
After determining the load distribution of the heat source device (after step S103), the fuel consumption amount calculation unit 22 sets the initial value of the load factor of the exhaust heat recovery device according to the engine output. When there are a plurality of exhaust heat recovery devices, the fuel consumption amount calculation unit 22 sets the priority order of the exhaust heat utilization of each exhaust heat recovery device, the upper limit value of the exhaust heat utilization amount, and the initial value of the load factor. . Thereafter, the initial value of the power generation / propulsion engine output is set (transition to step S104).

(2) Step S402
When the difference between the total power generation amount and the total required power amount is equal to or less than a predetermined threshold (Yes in step S113), the fuel consumption amount calculation unit 22 takes into account the fuel consumption that takes into account the engine efficiency variation associated with the power generation amount of the exhaust heat recovery device. Calculate the amount.

(3) Step S403
The fuel consumption calculation unit 22 confirms whether the fuel consumption considering the engine efficiency fluctuation is optimum (minimum). If the fuel consumption amount considering the engine efficiency fluctuation is optimum (minimum) (Yes in step S403), it is further confirmed whether the fuel consumption amount of the heat source device that is the supply source of the shortage heat amount is optimum (minimum). (Transition to step S201).

(4) Step S404
The fuel consumption calculation unit 22 changes the power generation load factor of the exhaust heat recovery device when the fuel consumption considering the engine efficiency variation is not optimal (minimum) (No in step S403), and again for power generation / propulsion. An initial value of the engine output is set (transferred to step S104).

[Operations and effects unique to this embodiment]
By applying this embodiment, it is possible to create an optimal operation plan for a ship equipped with an exhaust heat recovery system equipped with an exhaust heat recovery device, and to operate with reduced fuel consumption.

  In addition, by applying this embodiment, an accurate energy balance can be calculated under arbitrary conditions in a system that performs an operation plan aimed at low fuel consumption, low cost, low environmental load, etc. before departure or during navigation. It becomes possible.

<Relationship between each embodiment>
Note that the above embodiments can be implemented in combination. For example, it is conceivable to implement the second embodiment at the time of creating an operation plan (before operation) and to implement the first embodiment at the time of real-time optimum operation control (during operation). In this case, the energy management system according to the present invention has a configuration in which all the embodiments can be implemented as shown in FIG.

[Energy management system]
As shown in FIG. 7, the energy management system according to the present embodiment includes a real-time optimum operation control unit 10 and an operation plan creation unit 20.

  The real-time optimum operation control unit 10 includes an input value acquisition unit 11, a target value setting unit 12, a command value calculation unit 13, and a command value output unit 14.

  The operation plan creation unit 20 includes a prediction data creation unit 21, a fuel consumption calculation unit 22, an operation plan unit 23, an operation plan update unit 24, and an operation result storage unit 25.

  Input value acquisition unit 11, target value setting unit 12, command value calculation unit 13, command value output unit 14, prediction data creation unit 21, fuel consumption calculation unit 22, operation plan unit 23, operation plan update unit 24, and operation Each of the result storage units 25 is basically as described above.

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

  Although not shown, the energy management system according to the present invention is realized by an electronic device such as a computer that includes a processor that drives based on a program and executes predetermined processing, and a memory that stores the program and various data. There is.

  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.

  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 includes the above processor and the above memory can be considered.

  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 ... Real-time optimal operation control part 11 ... Input value acquisition part 12 ... Target value setting part 13 ... Command value calculation part 14 ... Command value output part 20 ... Operation plan creation part 21 ... Prediction data creation part 22 ... Fuel consumption calculation part 23 ... Operation plan unit 24 ... Operation plan update unit 25 ... Operation result storage unit

Claims (7)

An energy management system for a ship having an engine generator and a waste heat recovery device as a power generation system,
A means to input the power demand and heat demand of the entire ship,
Minimize fuel consumption by calculating the supply and demand balance of the power system and heat system that satisfy the power demand and heat demand of the entire ship and the target value in at least one of the ship speed , propulsion output , engine output , and fuel consumption rate. Means for calculating the optimum point of power generation engine output, propulsion engine output , and exhaust heat recovery equipment output;
Based on said optimum point, the energy management system and means for outputting power generation engine output, propulsion engine power, and exhaust heat recovery device outputs, as well as the respective command values inboard equipment operation control. The energy management system according to claim 1,
The means for calculating the optimum point is:
Performs the supply-demand balance calculation using bulbs algorithm by iterative method, wherein in the calculation of the thermal system having a heat recovery device, a high pressure steam system, low-pressure steam system, hot water system, and excess and deficiency of the systems of cold water system Means for calculating the amount of heat, operating the heat source device according to the insufficient amount of heat, and performing a calculation reflecting the actual machine configuration;
An energy management system comprising: the command value; and means for calculating the optimum point that fluctuates depending on the power demand and heat demand of the entire ship that changes from moment to moment. The energy management system according to claim 1 or 2,
For voyages to be evaluated, extract similar cases from past performance databases , refer to them, and provide time series energy demand forecast data based on the operational plans, the inhabited areas and facilities, and the expected generation of demand. Means to create,
On the basis of the prediction data carried out supply and demand balance calculation of the power system and thermal systems, when fuel consumption line, means for calculating power consumption, and heat consumption, and the operation plan of the ship equipment,
An energy management system further comprising means for accumulating actual data and deviation between the actual data and the predicted data in the actual database after operation and feeding back to the next voyage. The energy management system according to claim 3,
Means for updating the prediction data in accordance with the update period of the prediction data during operation;
If the cumulative deviation from the original forecast data exceeds the allowable range, the power supply and heat system supply-demand balance is calculated again based on the forecast data, and the time series fuel consumption, power consumption, and heat are calculated. consumption, as well as further energy management system and means for calculating the operation plan of the ship equipment. The energy management system according to claim 3 or 4,
Wherein the prediction data, and to have an attribute indicating whether to change and occurrence or non-occurrence of generation time, and means for assigning priority to changeable demands,
Means for identifying the time zone during which the heat source device is operating according to the amount of heat shortage,
Among the changeable demand, means for performing a calculation of the thermal strains when was changed heat demand in order of priority,
Among the changeable demand, means for performing calculation of power system when was changed power demand in order of priority,
Means for dividing the target time period into fixed time intervals, sequentially shifting the occurrence timing within a range that satisfies the constraint conditions, and calculating the supply-demand balance again;
An energy management system further comprising means for repeatedly executing the above calculation and selecting a unit having the greatest effect of reducing fuel consumption. An energy management method implemented in a ship having an engine generator and a waste heat recovery device as a power generation system,
Entering power and heat demand for the entire ship,
Minimize fuel consumption by calculating the supply and demand balance of the power system and heat system that satisfy the power demand and heat demand of the entire ship and the target value in at least one of the ship speed , propulsion output , engine output , and fuel consumption rate. Calculating the optimal point of the power generation engine output, propulsion engine output , and exhaust heat recovery equipment output,
Energy management method comprising a said based on the optimum point, the power generating engine output, propulsion engine power, and exhaust heat recovery device output, and outputs a respective command values inboard equipment operation control. A program for energy management in a ship having an engine generator and a waste heat recovery device as a power generation system,
Entering power and heat demand for the entire ship,
Minimize fuel consumption by calculating the supply and demand balance of the power system and heat system that satisfy the power demand and heat demand of the entire ship and the target value in at least one of the ship speed , propulsion output , engine output , and fuel consumption rate. Calculating the optimum point of power generation engine output, propulsion engine output , and exhaust heat recovery equipment output ; and
Based on the optimum point, the power generating engine output, propulsion engine power, and exhaust heat recovery device output, and program for executing the steps to the electronic device for outputting the respective command values inboard equipment operation control.

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