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WO2014065111A1 - Système de gestion de l'énergie - Google Patents

Système de gestion de l'énergie Download PDF

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Publication number
WO2014065111A1
WO2014065111A1 PCT/JP2013/077285 JP2013077285W WO2014065111A1 WO 2014065111 A1 WO2014065111 A1 WO 2014065111A1 JP 2013077285 W JP2013077285 W JP 2013077285W WO 2014065111 A1 WO2014065111 A1 WO 2014065111A1
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WO
WIPO (PCT)
Prior art keywords
factory
production
management system
energy
energy management
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2013/077285
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English (en)
Japanese (ja)
Inventor
明 田村
正博 吉岡
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Hitachi Ltd
Original Assignee
Hitachi Ltd
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Filing date
Publication date
Application filed by Hitachi Ltd filed Critical Hitachi Ltd
Publication of WO2014065111A1 publication Critical patent/WO2014065111A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • H02J2101/24—
    • H02J2105/10—
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/34—Parallel operation in networks using both storage and other DC sources, e.g. providing buffering
    • H02J7/35—Parallel operation in networks using both storage and other DC sources, e.g. providing buffering with light sensitive cells
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/50—Energy storage in industry with an added climate change mitigation effect
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

Definitions

  • the present invention relates to technologies such as an energy management system and a production management system.
  • FEMS Factory Energy Management System
  • FEMS Factory Energy Management System
  • FEMS monitors and records the energy used (in other words, electric power, load, demand, etc.) for each target factory and each production line to save energy.
  • production management system or production planning system
  • production planning system there is a system for creating and managing production plans for products and parts in a factory production line.
  • energy load leveling is achieved by predicting energy load and setting future energy reduction targets based on energy records related to manufacturing and production processes and input information such as future production plans. In this way, it is possible to formulate / plan production plans.
  • the energy consumption unit (required for production of unit quantity) is the value obtained by dividing the energy consumption by the number of production. Using energy such as power consumption).
  • Patent Document 1 JP 2010-26836 A
  • Patent Document 2 JP 2004-151830 A
  • Patent Document 3 JP 2005-92828 A
  • Patent Document 4 Japanese Unexamined Patent Application Publication No. 2005-261021
  • Patent Document 1 energy plan support system describes that a user is supported so that an energy plan that achieves a reduction target of energy intensity can be easily created.
  • the system of Patent Document 1 has an energy usage record and an energy intensity reduction target, uses the energy usage plan and production plan value for the current year as input information, calculates the energy intensity for the current year, By calculating the reduction rate of the previous year and calculating the planned value of monthly energy consumption based on the target value of reduction rate, it may be necessary to create an energy usage plan to achieve the energy reduction target.
  • the system of Patent Document 1 has an energy usage record and an energy intensity reduction target, uses the energy usage plan and production plan value for the current year as input information, calculates the energy intensity for the current year, By calculating the reduction rate of the previous year and calculating the planned value of monthly energy consumption based on the target value of reduction rate, it may be necessary to create an energy usage plan to achieve the energy reduction target.
  • Patent Document 2 energy demand optimization system and production plan creation support system describes that the amount of energy demand for existing equipment is optimized without introducing new equipment.
  • energy consumption per unit production of a product is used as an energy basic unit
  • equipment operating time required for production is used as a time basic unit
  • energy consumption and equipment operating time are predicted
  • an air conditioner non-production equipment
  • Patent Document 3 scheduling system or the like describes that a system capable of creating a schedule that minimizes the amount of energy used after satisfying various production conditions is described.
  • Patent Document 4 (operation planning system or the like) describes that an operation plan for an energy supply system that is optimal for a consumer can be made after satisfying various conditions in the energy supply system.
  • an energy consumption unit is obtained from an electric power usage plan and actual information, and an energy usage plan for achieving an energy reduction target is established.
  • the planned usage plan is monthly, and more detailed energy management and production plan management is not performed on a daily or hourly basis. Therefore, it is insufficient from the viewpoint of more efficient energy management.
  • Patent Document 3 it is described that a schedule including energy demand prediction information is created, but it is not intended to achieve cooperation with a production plan and peak cut in consideration of renewable energy or distributed power sources, It is insufficient in terms of efficiency.
  • Patent Document 4 it is described that an overall multi-purpose operation plan is generated based on energy demand prediction of facilities including factories and buildings. Similarly, cooperation with a production plan and renewable energy are described. It is not intended to achieve peak cut or the like considering a distributed power source, and is insufficient from the viewpoint of efficiency.
  • the main object of the present invention is to increase the accuracy of prediction related to energy demand by first linking with a production management system / production plan, and more efficient energy management for energy management systems such as FEMS. Second, it is possible to realize more efficient energy management for the entire factory by actively utilizing and considering renewable energy and distributed power sources.
  • a typical embodiment of the present invention is an energy management system such as FEMS targeted at a factory (customer) and has the following configuration.
  • the energy management system of this embodiment includes a factory energy management system (FEMS) that manages energy for factories, a production management system (PMS) that manages production plans in factory production facilities, and renewable energy for the factories. Or a power supply system capable of supplying power from a distributed power source.
  • FEMS is a process for coordinating with the production plan planned by PMS, a process for predicting the energy load or demand of the factory, a process for predicting the power that can be supplied by the power supply system, and the production plan information. , Including the amount of supply from the power that can be supplied by prediction, make adjustments including peak cuts or peak shifts to equalize the energy load or demand of the factory by prediction and achieve more efficient energy management.
  • the process of outputting the adjusted production plan information to the PMS is performed.
  • the FEMS uses the PMS as information on the production plan, including information on the power used for each product and each production line, information on the constraints related to the production, and information on the basic unit related to the production.
  • the adjustment process using the acquired information, work in a time zone with a large load on a plurality of production lines using production facilities in a factory, a time zone with a low load before and after that Adjustment including peak cut or peak shift is performed so that the load is generally leveled.
  • the PMS as production plan information, includes information including the date and time and electric power used for each product and each production line, information on constraints related to the production, and each product unit and production related to the production.
  • Data processing including production plans with FEMS for processing to store basic unit information including power consumption, personnel, and time for each line, processing to formulate production plans, and FEMS Processing to transmit / receive and processing to carry out production at the production facility of the factory according to the information of the production plan adjusted by FEMS are performed.
  • the accuracy of prediction related to energy demand is improved by linking with a production management system and a production plan, and more efficient energy management.
  • more efficient energy management for the entire factory can be realized by actively utilizing and considering renewable energy and distributed power sources.
  • the FEMS 1 cooperates with the production plan planned by the PMS 2 and the PMS 2, and the data information including the production plan, the constraint condition, and the basic unit information from the PMS 2. And predicting energy demand in the entire production line (production facility) 21 of the factory 20, and adjusting and optimizing the production plan (in other words, energy usage plan / plan) based on the prediction (in other words, Process to change the configuration of the production plan).
  • the FEMS 1 predicts the energy load of facilities (related equipment other than production equipment) such as lighting and air conditioning in the factory 20 in the above adjustment process, and also supplies power from renewable energy and distributed power sources.
  • the supplyable amount and power generation amount by the storage battery system 5 and the solar power generation system 6 which are systems are predicted.
  • the FEMS 1 predicts the overall energy load or demand of the factory 20 based on these predicted amounts and the amount of power used for each product and production line in the production plan. Then, the FEMS 1 is configured so that the above-mentioned predicted amount can be efficiently combined with the power supply plan from the renewable energy / distributed power source (5, 6) so that efficient energy management of the entire factory 20 can be realized. Perform peak cuts or peak shifts to level the load and adjust and optimize production plans.
  • peak cuts or peak shifts are performed so as to level the energy load during peak hours.
  • the shift of the work time zone in parallel operation of a plurality of production lines in the production plan, allocation of power supply from the storage battery, and the like are performed.
  • the system 10 predicts loads by facilities other than the production equipment (21) of the factory 20, such as lighting and air conditioning, and plans to supply power from storage batteries and solar power generation. Optimize energy throughout the 20th.
  • the system 10 performs production based on the modified production plan, and maximizes power supply from storage batteries, solar power generation, and the like, thereby reducing the amount of commercial grid power used. Thereby, the energy load reduction in the whole factory 20 and the efficiency improvement of energy utilization are implement
  • FIG. 1 shows a configuration of a system (energy management system) 10 of the present embodiment.
  • the entire system 10 includes a factory energy management system (FEMS) 1, a production management system (abbreviated as PMS) 2, a watt-hour meter (meter) 3, an illumination / air conditioning system 4, a storage battery system 5, a solar power generation system 6, And a factory 20 to be managed, and these are connected to each other by communication means.
  • the PMS 2 and each unit (3 to 6) are connected to the FEMS 1 by a communication network or a dedicated line.
  • Each system such as 1 to 5 may be provided inside the factory 20 or may be provided outside.
  • This system 10 provides a function for controlling the peak shift of the power (energy) of the factory 20 in particular by strong cooperation between the FEMS 1 and the PMS 2.
  • the system 10 includes a storage battery system 5 and a solar power generation system 6 as a system capable of supplying energy (electric power) to the factory 20 using a renewable energy / distributed power source.
  • the system 10 uses these (5, 6) energy (electric power) to adjust the production plan.
  • the factory 20 has a configuration including a predetermined production line (in other words, a production facility) 21, and predetermined products / parts are produced using the production line 21 in accordance with a production plan by the production management system 2.
  • a predetermined production line in other words, a production facility
  • predetermined products / parts are produced using the production line 21 in accordance with a production plan by the production management system 2.
  • the FEMS 1 targets the factory 20 having the production line (production facility) 21 as an object (customer), and manages the energy of the entire factory 20 to save energy.
  • the FEMS 1 is configured by a known technique such as a server 11 or a DB (database). Each function (101 to 103, etc.) of the FEMS 1 is realized by executing a program process using the CPU and memory in the server 11.
  • the main functions of the FEMS 1 include a production plan cooperation / adjustment function 101, an energy load monitoring function 102, an energy supply control function 103, and the like.
  • the FEMS 1 includes a function of referencing / acquiring necessary information (such as prediction information described later) from the outside via a network.
  • FEMS1 it is possible to set / view various information on the screen by accessing the server 11 from a terminal such as an administrator (U1).
  • the FEMS 1 stores performance information collected from each system (2 to 5), its own prediction information, and the like in the DB.
  • the FEMS 1 has a function (production plan cooperation / adjustment function 101) for adjusting / optimizing the production plan in cooperation with the production plan planned by the PMS2.
  • This function (101) includes performing processing such as peak cut and peak shift so as to level the energy load of the factory 20.
  • the FEMS 1 has an energy load monitoring function 102 for the PMS 2, the watt-hour meter 3, and the lighting / air conditioning system 4, and predicts / monitors the energy load or demand related to the factory 20.
  • the FEMS 1 collects measurement information from the watt-hour meter 3 to visualize and monitor the energy load of the factory 20.
  • the FEMS 1 grasps the power consumption of facilities such as lighting and air conditioning for the lighting and air conditioning system 4 and performs control according to demand (demand).
  • the FEMS 1 has an energy supply control function 103 for the storage battery system 5 and the photovoltaic power generation system 6, and supplies and controls energy (renewable energy / distributed power source) to the factory 20.
  • the FEMS 1 controls and controls the storage battery system 5 by charging / discharging the storage battery. Electric power is supplied to the factory 20 by discharging from the storage battery.
  • the FEMS 1 predicts and grasps the power generation amount of solar power generation for the solar power generation system 6.
  • the power generated by the solar power generation system 6 is stored (charged) in the storage battery of the storage battery system 5.
  • the production management system (PMS) 2 is also referred to as a production planning system or the like, and creates a production plan for production of products using the production line (production equipment) 21 of the factory 20, and performs production management (execution of production) based on the production plan. Monitoring, production record information, etc.).
  • the PMS 2 can be applied to an existing system.
  • the PMS 2 has a function of producing a production plan corresponding to cooperation with the FEMS 1.
  • the PMS 2 stores and manages data including production plan information, production result information, production constraint information, production basic unit information, and the like in a DB or the like.
  • the FEMS 1 and the PMS 2 have an interface for cooperating with the PMS 2 and the FEMS 1 and a common format, respectively, and can transmit and receive necessary data information.
  • the watt-hour meter (meter) 3 is installed on a distribution board or the like in the factory 20, and measures and collects loads (such as the amount of power used in the production line 21) of the factory 20.
  • the meter 3 may be a smart meter or the like having an information processing function.
  • the lighting / air-conditioning system 4 is a device / system including lighting equipment, air-conditioning equipment, OA equipment, etc., which are related equipment that uses electric power, other than the production line (production equipment) 21 of the factory 20.
  • the illumination / air conditioning system 4 may include a predetermined control system, for example, a system (a publicly known technology) having a function of automatically controlling the state of illumination and air conditioning, a function of predicting loads of illumination and air conditioning, and the like.
  • the lighting / air conditioning system 4 autonomously controls / monitors the operating state / temperature state of lighting / air conditioning in the factory 20.
  • facilities such as lighting and air conditioning are basically handled and controlled independently of the production line 21 of the factory 20.
  • the amount of electric power used in facilities such as lighting and air conditioning is measured and grasped by the meter 3, but may be used if it can be grasped by the lighting and air conditioning system 4 itself.
  • the conditions such as lighting and air-conditioning directly related to the production itself in the production line 21 of the factory 20 for example, conditions for keeping the temperature constant during a predetermined process
  • the production plan of the PMS 2 (such as the amount of power used in the production line) It is managed and reflected in. Therefore, with respect to facilities such as lighting and air conditioning, the FEMS 1 and the lighting and air conditioning system 4 control the portion of the entire power, excluding the amount used as the above-mentioned production conditions, according to demand.
  • the storage battery system 5 includes a storage battery (for example, a lithium ion secondary battery) and its control board (power conditioner).
  • the storage battery system 5 is charged and discharged according to a charging / discharging plan (schedule) that the FEMS 1 plans in accordance with the adjustment of the production plan.
  • the photovoltaic power generation system 6 includes a photovoltaic power generation panel and its control board.
  • the photovoltaic power generation system 6 supplies electric power generated by photovoltaic power generation to the storage battery system 5 or the factory 20.
  • the present system 10 may be similarly controlled in cooperation with the FEMS 1 by using a known system that generates power or stores electricity using the exhaust heat of the factory 20, for example.
  • this Embodiment is a case where it applies to the line production of the factory 20 as an object of energy management, it is applicable not only to this but another production system similarly.
  • this Embodiment is a form which cooperates with PMS2 by making FEMS1 into a subject, it is good also as a form which cooperates with FEMS1 by making PMS2 a subject. That is, the PMS 2 may acquire information related to energy management from the FEMS 1 and adjust the production plan. Further, FEMS1 and PMS2 may be integrated into one system. Other system elements (3 to 6) may be appropriately separated or integrated.
  • FIG. 2 shows a detailed functional block configuration of mainly the FEMS 1 of the system 10 of FIG.
  • the FEMS 1 (its server 11) includes, as processing units, a production plan adjustment / optimization unit 12, a load visualization / collection unit 13, an equipment load prediction / demand control unit 14, a charge / discharge control unit 15, a power generation amount prediction unit 16, It includes an energy (E) demand prediction unit 111, an addition unit 112, a recalculation control unit 113, a target control unit 114, and the like.
  • the FEMS 1 stores performance information d11 and prediction information d12 in the DB.
  • the production plan adjustment / optimization unit 12 adjusts and optimizes the production plan (K1) prepared by the PMS 2 including peak cut and peak shift.
  • the production plan adjustment / optimization unit 12 includes a charge / discharge planning unit 121, a target value setting unit 122, and the like.
  • the charge / discharge planning unit 121 creates a charge / discharge plan for the storage battery system 5.
  • the target value setting unit 122 sets a target value related to peak cut.
  • the load visualization / collection unit 13 collects measurement information from the meter 3 and visualizes the energy load of the factory 20, that is, displays various information such as a load graph on a GUI (graphical user interface) screen. Perform processing to enable operation.
  • GUI graphical user interface
  • the equipment load prediction / demand control unit 14 obtains information from the lighting / air conditioning system 4 and predicts the energy load of the equipment such as lighting / air conditioning, and performs control processing on demand for the lighting / air conditioning system 4. No. 14 predicts the amount of power that is fixedly consumed by facilities such as lighting and air conditioning.
  • the charging / discharging control unit 15 performs a process for controlling the charging / discharging of the storage battery system 5 according to the charging / discharging plan.
  • the power generation amount prediction unit 16 performs processing for predicting the power generation amount of the solar power generation system 6 based on weather information and the like.
  • the energy demand prediction unit 111 predicts the energy demand by using the estimated equipment load by 14 and the predicted power generation by 16.
  • the adding unit 112 adds the amount of power scheduled to be used in the production plan (K1) before adjustment to the energy demand predicted amount by 111.
  • the recalculation control unit 113 controls the recalculation of 111, 112, 12 and the like according to the execution / actual result of production and the production plan (K1).
  • the target control unit 114 performs predetermined control by comparing the target value with the energy demand.
  • PMS2 is composed of a server, a DB, and the like, and implements the functions of PMS2 by executing program processing using a CPU, memory, and the like.
  • the PMS 2 includes a production planning unit 201 as a main function / processing unit.
  • the server can be accessed from a terminal such as an administrator (U2) and various information can be set and viewed on the screen.
  • the PMS 2 stores and manages the constraint condition d21, work item d22, basic unit information d23 and the like related to the production process in the DB. Further, the PMS 2 stores production plan (K1, K2) information that has been planned and adjusted, production result information collected from the production line 21 of the factory 20, and the like in the DB.
  • K1, K2 production plan
  • Constraint condition d21 indicates a constraint condition such as power consumption, personnel, and time required for each product unit and each production line.
  • the basic unit information d23 indicates basic units such as electric power used, personnel, and time required for each product unit and each production line.
  • the work item d22 is information on a work item corresponding to the production plan.
  • the basic unit information (d23) or the like may be managed not by PMS2 but by FEMS1 or the like.
  • the production plan drafting unit 201 creates and drafts a production plan (K1) based on DB information (d21 to d23, etc.). Information on the created production plan K1 is input to FEMS1. At this time, the information may be acquired by accessing the PMS 2 from the FEMS 1 or may be transmitted by accessing the FEMS 1 from the PMS 2.
  • information such as managers (U1, U2) can be browsed on the GUI screen.
  • GUI screen For example, graphs and tables as shown in FIGS. Is possible.
  • Information displayed on the GUI screen includes at least information on production plans (K1, K2) before and after adjustment and information on visualization of the load (actual value) of the factory 20.
  • FIG. 3 shows a concept of the system 10 in which the production plan information of the PMS 2 is input to the FEMS 1 for adjustment in the cooperation between the FEMS 1 and the PMS 2 and energy management linked with the production plan is performed in a cycle.
  • s1 etc. indicate processing steps
  • d1 etc. indicate data information.
  • the PMS 2 transmits the information of the production plan (K1) planned by 201 to the FEMS 1 via the communication network (s1).
  • the information of the production plan (K1) before adjustment or the information transmitted along with this information includes the amount of power used for each product to be produced and for each production line 21 and information on constraint conditions related to the production plan (for example, production line Including the maximum amount of electricity, personnel, and delivery date).
  • the FEMS 1 acquires the production plan (K1) from the PMS2.
  • FEMS1 performs equipment load prediction by 14 and power generation prediction by 16 on a regular basis, for example, every morning, based on performance information and weather information (s2). Predict the load of equipment such as lighting and air conditioning based on the results information, and also predict the amount of photovoltaic power generation based on weather information. Then, the E demand prediction unit 111 predicts the energy demand based on the predicted amounts.
  • d1 shows an example of graph data of the predicted amount of energy demand, which is data obtained by subtracting the predicted power generation amount from the estimated equipment load amount of s2.
  • the FEMS 1 adds the amount of power used for each production line 21 in the production plan (K1) received from the PMS 2 to the energy demand predicted amount (d1) of s2 (s3).
  • d2 is an example of graph data of the predicted energy demand after the addition.
  • the FEMS 1 (production plan adjustment / optimization unit 12) performs load leveling processing including peak cut and peak shift on the data d2 of s3 (s4).
  • a peak cut / peak shift process the production plan in the time zone where the load is at a peak (production process of the production line) is shifted to the previous and next time zones to lower the peak value.
  • Adjust and optimize (schedule).
  • the charge / discharge planning unit 121 sets a charge / discharge plan for the storage battery of the storage battery system 5.
  • the target value setting unit 122 sets a target value X to be the target power as shown in the data d3 after the load leveling.
  • the plan is adjusted so that the peak value of the load is as small as possible below the target value X.
  • the above charge / discharge plan is adjusted so that power that exceeds the target value X is supplied from the storage battery.
  • the above target value X may be set as an initial value by a person such as an administrator, or may be set automatically by FEMS1 (target value setting unit 122) as appropriate.
  • the target value X may be set and controlled variably according to demand.
  • the PMS 2 executes and controls the production in the production line 21 of the factory 20 in accordance with the data d3 of the production plan (K2) after the adjustment of s3 (s5), and records production result information and the like.
  • the FEMS 1 recalculation control unit 113 performs predetermined timing, for example, every hour. Then, a recalculation process based on the correction of the prediction / plan is started (s6). In other words, according to the input (s1) of the new production plan (K1), the adjustment / optimization cycle (s2 to s5) is similarly executed.
  • the FEMS 1 uses the target control unit 114 to determine whether the actual demand value exceeds the target value X of d3 (s7), and detects the excess (demand value> X).
  • a request to forcibly stop the production line 21 is issued / transmitted to the PMS 2 or the factory 20 (s8).
  • a predetermined message or the like may be output and reported to an administrator or the like.
  • FIGS. 5A and 5B show graphs before and after load leveling by PC / PS in the energy demand prediction (simulation) of FEMS1 (111).
  • lines # 1 to # 5 there are a plurality of lines # 1 to # 5 that can be operated in parallel.
  • the operations (processes) on the line include, for example, a setup / preparation unit, a manufacturing unit, and a cleaning unit, as shown in the figure.
  • one work (401) on line # 3 is setup / preparation from 13:00 to 13:30, manufacturing from 13:30 to 15:30, and cleaning from 15:30 to 16:00.
  • predetermined power is used.
  • line 402 has work 402 (manufacturing from 11:30 to 16:00).
  • the production of multiple lines overlaps in a specific time zone, such as around 13:00 to 15:00, and the energy load is high and concentrated. ing.
  • the operations 401 and 402 in FIG. 4A are moved to the preceding and following time zones like the operations 411 and 412 in FIG. 4B by the PC / PS in the production plan adjustment / optimization process (12, s6). Shifted. In particular, this is a case where the planned work (401, 402) of lines # 3 and # 5 is shifted to a time zone (11:00 to 12:00) where the load is relatively low before the time zone when the load is concentrated. . As a result, the load is alleviated and leveled over time and the entire production line 21.
  • FIG. 5A the horizontal axis indicates time [h], and the vertical axis indicates the electric energy [kWh] for each of the lines # 1 to # 5.
  • a line 501 indicates an energy demand prediction.
  • FIG. 5B shows the state after PC ⁇ PS. In the energy demand prediction, the unevenness is large at 501 of (a), but is flat at 502 of (b), and the peak value is lowered from about 500 to about 350.
  • FIG. 6 shows an example of data information in an application example of planning a production plan by the PMS 2 (201 described above).
  • An example of a product produced in the production line 21 of the factory 20 is applied to a UPS (uninterruptible power supply), and a case of application to a test line is shown as an example of a production process.
  • A1 is a kind of basic unit information (d23) managed by the PMS2, and indicates a test basic unit for each product.
  • A2 is work item information (d22).
  • A3 is a test process constraint condition which is a kind of the constraint condition (d21).
  • product-specific test basic unit A1 indicates the area, test time, personnel, and maximum power consumption of the test area (corresponding to each production line) required for each product.
  • A1 has (a1) UPS capacity, (a2) test area, (a3) test time, (a4) number of testers, and (a5) maximum power as management items.
  • Work item A2 indicates the number of tests and the test period (time limit for completing the test) for each product item.
  • A2 has (a6) project, (a7) number of units, and (a8) test period as management items.
  • the information on the item a6 includes information such as each company and specification (UPS capacity).
  • the test process constraint condition A3 is a constraint condition that defines an allowable test area, test personnel, a maximum power upper limit value, and the like.
  • A3 has (a9) constraint conditions and (a10) constraint values, which are the values, as management items.
  • Each constraint is defined in each record.
  • the allowable test area is up to 770 m 2
  • the number of testers is up to 5
  • the power upper limit is 2000 kVA.
  • 7A4 shows an example of information on the production plan (K1) created based on A1 to A3 in FIG.
  • the production plan A4 is made by considering the test process restriction condition A3 for the test unit A1 for each product and the work item A2.
  • A4 has, for example, (a11) test date, (a12) test area to (a16) test area, and (a17) maximum power as management items.
  • the five test areas a12 to a16 correspond to the five production lines # 1 to # 5 described above. 7 to 4 can be converted into a table as shown in FIG.
  • the energy load amount of the factory 20 can be calculated from the above A1 to A4, and the energy demand amount can be predicted by simulation calculation as shown in FIG.
  • FIG. 8 shows an example of prediction of energy demand / load in FEMS1.
  • FEMS1 E demand prediction unit 111 performs load prediction per unit time (14) and photovoltaic power generation amount prediction (16) of equipment (lighting, air conditioning, etc.) in the factory 20 from the equipment load prediction amount.
  • An example of calculating a substantial energy load / demand by subtracting the power generation prediction amount will be shown.
  • B1 in FIG. 8 indicates prediction input information used for prediction, and is stored in the DB.
  • B1 can use past performance information (eg, obtainable from 3 or 4), weather information (eg, obtainable from an external weather information provider), work calendar (eg, obtainable from the factory 20 or PMS2), and the like.
  • B2 is a graph of the estimated equipment load based on B1. The horizontal axis represents time, and the vertical axis represents the load amount (power amount).
  • the FEMS 1 (111, 14) predicts an energy load per unit time (mainly a load of facilities such as lighting and air conditioning) based on the predicted input information B1, and stores the result B2 in the DB.
  • B3 indicates photovoltaic power generation prediction information used for prediction, and is stored in the DB.
  • temperature prediction for example, temperature prediction, solar radiation amount prediction (for example, obtainable from an external weather information provider), past results, and the like can be used.
  • the temperature prediction and the solar radiation amount prediction are prediction information such as the temperature and the solar radiation amount per unit time, and the past performance is the past performance information.
  • B4 is a graph of the predicted amount of photovoltaic power generation based on B3.
  • the horizontal axis represents time, and the vertical axis represents the amount of power generation.
  • the FEMS 1 (111, 16) predicts the amount of photovoltaic power generation per unit time based on the photovoltaic power generation prediction information B3, and stores the resulting B4 in the DB.
  • B5 in FIG. 9 is a graph of the predicted energy demand obtained by subtracting B4 from B2 in FIG. 8, and is a predicted equipment load per unit time (that is, a predicted demand), and data d1 in FIG. Corresponding to The horizontal axis shows time, and the vertical axis shows demand.
  • the lower part 901 corresponds to the part obtained by subtracting B4 from B2, and the upper part 902 corresponds to the part B4.
  • FEMS1 (111) subtracts B4 from B2 to create B5 and stores it in DB.
  • FIG. 10 shows an example of obtaining the factory total load amount (C3) by adding the power amount (C2 ⁇ A4) of the production plan (K1) to the energy demand prediction amount (C1) in FEMS1.
  • C1 corresponds to the energy demand (B5, d1) predicted and calculated by the FEMS 1 in FIG.
  • the portion 1001 is the same as the portion 901 in FIG. C1 corresponds to the predicted load amount of equipment (lighting, air conditioning, etc.) in the entire factory 20.
  • C2 corresponds to the data information (A4) of the production plan (K1) planned by the PMS 2 in FIG. 7 and the like, the horizontal axis indicates time, and the vertical axis indicates the power consumption for each production line 21.
  • the adder 112 adds these (C1, C2).
  • FIG. 11 shows an example before and after load leveling (PC / PS) in the factory total load amount (C3) after the addition in FEMS1.
  • C3 in FIG. 11 is before the peak shift
  • C4 in FIG. 11 is after the peak shift.
  • the portion of 1001 is the same amount.
  • the peak value decreases from over 6000 to less than 6000.
  • the load is leveled by shifting the production plan to the preceding and following time zones for each production line 21 around the peak time zone where the load is highest.
  • FIG. 12 is a plan for reflecting and charging / discharging plan information (D3) based on the storage battery information (D2) with respect to the entire factory load (C4) after the load leveling in FIG. An example in which a load is set is shown. D4 corresponds to the entire factory load in the adjusted production plan (K2).
  • the storage battery information of D2 can be obtained by using, for example, information held by a control unit (power conditioner) in the storage battery system 5 and stored in the DB.
  • D2 includes information such as the capacity of the storage battery, the device state, the dischargeable power, and the dischargeable time.
  • D2 includes information such as storage battery capacity and dischargeable power that can be acquired from the storage battery system 5 itself, dischargeable time that can be calculated on the FEMS1 side, and information that is defined as a constraint on the FEMS1 side.
  • the charge / discharge plan information of D3 is information including a schedule of discharge (supply) from the storage battery per unit time for the factory 20 (production line 21) based on C4 and D2.
  • D3 includes information such as target power, storage battery capacity transition, single-time charge / discharge capacity, and charging for power failure.
  • a target reduction value is set as the target power or target load, as indicated by the Y line in D4. This corresponds to the setting of the target value (X) in FIG.
  • the charge / discharge amount per unit time is determined according to the target.
  • the D4 has a 1201 portion that is equal to or smaller than the target Y and a 1202 portion that is equal to or larger than the target Y. About 1202 part, it covers by the discharge from the storage battery system 5 as a plan. In other words, a plan is made to cover the discharge within the range of the storage amount of the storage battery considering the amount of photovoltaic power generation.
  • the FEMS 1 uses the equipment load prediction / demand control unit 14 to perform demand monitoring for the lighting / air conditioning system 4 (equipment).
  • the FEMS 1 can request the production line 21 to pause the production as described above (114).
  • the lighting / air conditioning system 4 can be requested to reduce or stop the use of power.
  • the load of the whole factory 20 can be reduced by the said plan and control.
  • the energy demand can be predicted with higher accuracy than before by predicting the energy demand of the factory 20 in accordance with the production plan information by cooperation between the FEMS 1 and the PMS 2. To do. Based on the prediction, the energy load can be leveled by shifting the operation of the production line 21 in the production plan, and an efficient production plan and power usage plan are possible. Moreover, efficient production is possible by the charge / discharge plan including the load reduction target utilizing the renewable energy / distributed power source (5, 6). Moreover, efficient production is possible, including load reduction by demand control of equipment (4) such as lighting and air conditioning. As a result, it is possible to realize energy saving by more efficient energy management of the entire factory 20 than before.
  • the energy demand prediction accuracy is not high.
  • the prediction accuracy is increased by cooperation as described above, and the efficiency of energy management is realized.
  • SYMBOLS 1 Factory energy management system (FEMS), 2 ... Production management system (PMS), 3 ... Electricity meter (meter), 4 ... Lighting / air-conditioning system, 5 ... Storage battery system, 6 ... Solar power generation system, 10 ... book System (energy management system), 11 ... server, 20 ... factory, 21 ... production line (production equipment).
  • FEMS Factory energy management system
  • PMS Production management system
  • PMS Production management system
  • Electricity meter meter
  • Lighting / air-conditioning system 5
  • Storage battery system 6
  • Solar power generation system 10 ... book System (energy management system), 11 ... server, 20 ... factory, 21 ... production line (production equipment).

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

La présente invention concerne une technologie qui rend la gestion de l'énergie et autre plus efficaces pour l'ensemble d'une usine grâce à un système de gestion de l'énergie tel qu'un système de gestion de l'énergie d'usine (FEMS). Ce système de gestion de l'énergie comporte, par exemple, un FEMS (1) qui assure la gestion de l'énergie pour une usine (20), un système de gestion de la production (PMS) (2) qui élabore un plan de production pour ladite usine (20), et un système d'accumulateurs (5) ainsi qu'un système de production d'électricité solaire (6) qui peuvent alimenter l'usine (20) en électricité. En collaboration avec le plan de production provenant du PMS (2), le FEMS (1) exécute le processus suivant : le taux d'utilisation de l'énergie de l'usine (20) est prédit, et la quantité d'électricité qui peut être fournie par le système d'accumulateurs (5) et autre est prédite ; un ajustement qui comprend la réalisation d'une suppression ou d'un déplacement de pic par rapport aux informations du plan de production est effectué pour obtenir une gestion de l'énergie plus efficace par standardisation du taux d'utilisation de l'énergie de l'usine qui a été prédit, le taux d'utilisation de l'énergie incluant la quantité d'électricité fournie qui provient de la quantité d'électricité pouvant être fournie qui a été prédite ; et des informations sur le plan de production ajusté sont envoyées au PMS (2).
PCT/JP2013/077285 2012-10-26 2013-10-08 Système de gestion de l'énergie Ceased WO2014065111A1 (fr)

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