Operation Management Apparatus, Operation Management Method, and Operation Management Program

• US 20120083927A1
• Filed: 03/11/2011
• Published: 04/05/2012
• Est. Priority Date: 10/01/2010
• Status: Active Grant

• Current Assignee: Shimizu Corporation
• Original Assignee: Shimizu Corporation
• Inventors: Yamane, Toshihiro, Shimoda, Eisuke, Morino, Kimio, Nakamura, Takuji
• Granted Patent: US 9,031,703 B2
• Time in Patent Office: Days
• US Class Current: 700/278
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/47 Responding to energy costs
• CPC Class Codes: F24F 11/57 using telephone networks
• CPC Class Codes: F24F 11/58 using Internet communication
• CPC Class Codes: F24F 11/64 using pre-stored data
• CPC Class Codes: F24F 2130/00 Control inputs relating to environmental factors not covered by group F24F2110/00
• CPC Class Codes: F24F 2130/10 Weather information or forecasts
• CPC Class Codes: F24F 2140/50 Load
• CPC Class Codes: G01D 2204/12 Determination or prediction of behaviour, e.g. likely power consumption or unusual usage patterns
• CPC Class Codes: G01D 2204/28 Processes or tasks scheduled according to the power required, the power available or the power price
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 13/00004 characterised by the power network being locally controlled
• CPC Class Codes: H02J 2300/10 The dispersed energy generation being of fossil origin, e.g. diesel generators
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 3/004 Generation forecast, e.g. methods or systems for forecasting future energy generation
• CPC Class Codes: H02J 3/32 using batteries with converting means
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: Y02B 70/30 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
• CPC Class Codes: Y02B 70/3225 : Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02B 90/20 : Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y04S 20/12 : Energy storage units, uninterruptible power supply [UPS] systems or standby or emergency generators, e.g. in the last power distribution stages
• CPC Class Codes: Y04S 20/221 : General power management systems
• CPC Class Codes: Y04S 20/222 : Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/242 : Home appliances
• CPC Class Codes: Y04S 20/244 : the home appliances being or involving heating ventilating and air conditioning [HVAC] units

Abstract

An operation management apparatus includes an air conditioning thermal load prediction unit configured to calculate an air conditioning thermal load predicted value indicating a predicted amount of heat required to adjust temperature to a pre-set temperature on a day-of-prediction, a power generation output prediction processing unit configured to calculate power generation output prediction data indicating a generated power obtained by a generator within the day-of-prediction, and an operation planning unit configured to prepare an air conditioning heat source operation plan, and determines a purchased power and the generated power using the power generation output prediction data to thereby prepare a power facility operation plan indicating a schedule of a power output from the purchased power source and the generator, so that the purchased power per predetermined time supplied from a purchased power source of a commercial power system becomes a target value.

Claims

1. An operation management apparatus, comprising:

an air conditioning thermal load prediction unit configured to calculate an air conditioning thermal load predicted value indicating a predicted amount of heat required to adjust temperature to a pre-set temperature for a day-of-prediction;

a power generation output prediction processing unit configured to calculate power generation output prediction data indicating a generated power obtained by a generator within the day-of-prediction; and

an operation planning unit configured to prepare an air conditioning heat source operation plan indicating allocation for every hour of operation of each of the air conditioning heat source apparatuses generating the amount of heat indicated by the air conditioning thermal load predicted value, calculates a predicted power load indicating the power supplied to a load device to generate the predicted amount of heat indicated by the air conditioning thermal load predicted value based on the air conditioning thermal load predicted value, and determines a purchased power corresponding to a power of the predicted power load and the generated power using the power generation output prediction data to thereby prepare a power facility operation plan indicating a schedule of a power output from the purchased power source and the generator, so that the purchased power per predetermined time supplied from a purchased power source of a commercial power system becomes a target value.

2. The operation management apparatus according to claim 1, further comprising:

a demand excess determination unit configured to determine whether the purchased power supplied from the purchased power source per the predetermined time exceeds the target value; and

a plan change unit configured to change the air conditioning heat source operation plan and the power facility operation plan to reduce the purchased power per the predetermined time exceeding the target value when the purchased power is determined to exceed the target value by the demand excess determination unit, and to increase the purchased power per the predetermined time when the purchased power is determined not to exceed the target value.

3. The operation management apparatus according to claim 2, further comprising:

a real-time power demand control unit configured to control so as to reduce the purchased power per the predetermined time when a predicted value of the purchased power predicted to be supplied from the purchased power source per the predetermined time exceeds the target value based on actual measurement data obtained by measuring the purchased power supplied to the load device from the purchased power source, in a case where the demand excess determination unit determines whether the purchased power per the predetermined time supplied from the purchased power source exceeds the target value based on the predicted power load in which the purchased power is changed by the plan change unit, and the purchased power is determined to exceed the target value.

4. An operation management method, comprising:

calculating an air conditioning thermal load predicted value indicating a predicted amount of heat required to adjust a temperature to a pre-set temperature on a day-of-prediction;

calculating power generation output prediction data indicating a generated power obtained by a generator within the day-of-prediction;

preparing an air conditioning heat source operation plan indicating allocation for every hour of operation of each of the air conditioning heat source apparatuses generating the amount of heat indicated by the air conditioning thermal load predicted value; and

calculating a predicted power load indicating the power supplied to a load device to generate the predicted amount of heat indicated by the air conditioning thermal load predicted value based on the air conditioning thermal load predicted value, and determining a purchased power corresponding to a power of the predicted power load and the generated power using the power generation output prediction data to thereby prepare a power facility operation plan indicating a schedule of a power output from the purchased power source and the generator, so that the purchased power per predetermined time supplied from a purchased power source of a commercial power system becomes a target value.

5. An operation management program for causing a computer to function as:

a unit that calculates an air conditioning thermal load predicted value indicating a predicted amount of heat required to adjust temperature to a pre-set temperature on a day-of-prediction, a unit that calculates power generation output prediction data indicating the generated power obtained by a generator within the day-of-prediction; and

a unit that prepares an air conditioning heat source operation plan indicating allocation for every hour of operation of each of the air conditioning heat source apparatuses generating the amount of heat indicated by the air conditioning thermal load predicted value, calculates a predicted power load indicating the power supplied to a load device to generate the predicted amount of heat indicated by the air conditioning thermal load predicted value based on the air conditioning thermal load predicted value, and determines a purchased power corresponding to a power of the predicted power load and the generated power using the power generation output prediction data to thereby prepare a power facility operation plan indicating a schedule of a power output from the purchased power source and the generator, so that the purchased power per predetermined time supplied from a purchased power source of a commercial power system becomes a target value.