CN104919484A - Energy-management device and energy-management system - Google Patents
Energy-management device and energy-management system Download PDFInfo
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- CN104919484A CN104919484A CN201480004851.1A CN201480004851A CN104919484A CN 104919484 A CN104919484 A CN 104919484A CN 201480004851 A CN201480004851 A CN 201480004851A CN 104919484 A CN104919484 A CN 104919484A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
- F24F11/523—Indication arrangements, e.g. displays for displaying temperature data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Air Conditioning Control Device (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
An energy-management device (11) in this energy-management system (10) is provided with the following: an acquisition means (transmission/reception functionality) that acquires information on the load current being drawn by air-conditioning devices (41a through 41n) installed in a building and information on weather conditions in the region where said building is located; an external-heat-load calculation unit (11d) that uses the acquired weather-condition information to calculate the external heat load flowing into the building from outside; and an internal-heat-load estimation unit (11b) that uses the acquired load current to estimate an air-conditioning heat load, i.e. the heat load imposed by the air-conditioning devices (41a through 41n), and uses the difference between said air-conditioning heat load and the calculated external heat load to estimate an internal heat load excluding the air-conditioning heat load for the inside of the building (i.e., an indoor-unit heat load plus a human-body heat load).
Description
Technical field
The present invention relates to and infer that energy consumption in buildings is to carry out energy management apparatus and the energy management system of efficient energy management.
Background technology
In recent years, in the buildingss such as office mansion, business mansion, import energy management system (EMS:Energy Management System).Known EMS with the Architectural Equipment such as air-conditioning equipment, light fixture, safety control equipment, burglary-resisting installation in buildings (such as mansion) for object, come monitoring room environment, the situation of energy ezpenditure, the operational situation etc. of each appliance arrangement by various sensor, instrument, carry out the running management of the best of each appliance arrangement, control.
In addition, in recent years, due to the concern to earth environment, the importance of conserve energy (referred to as energy-conservation) and utilize the importance of the energy management of EMS all to improve.
Such as, in patent documentation 1, propose the energy datum of the various appliance arrangements in the facility by collecting mansion, operational situation and also monitor in real time or resolve according to history and show energy ezpenditure tendency, effectively carry out the method for energy management.
On the other hand, in patent documentation 2, propose according to physical model, the thermal load of counting chamber environment, air-conditioning equipment, adopt the indoor environment/air-condition simulation (with reference to non-patent literature) utilized in the estimation of air conditioner load, the design of air-conditioning system etc., carry out the method for efficient airconditioning control.
And then, in patent documentation 2, describe by the operational plan according to the information of meteorological condition, the measured value of indoor environment and air-conditioning equipment, perform the emulation of several hours ~ 1 day, thus carry out the evaluation of energy ezpenditure, comfortableness, cost etc., support the method that gerentocratic operational plan is formulated.According to the method, can realize taking into account comfortableness and control that is energy-conservation and cost-saving property.
Patent documentation 1: Japanese Unexamined Patent Publication 2011-248568 publication
Patent documentation 2: Japanese Unexamined Patent Publication 2011-141092 publication
The raw engineering meeting of non-patent literature 1: Kong Genki Tone He Wei " the raw engineering Bian list the 14th edition of Kong Genki Tone He Wei " p443-p469
Summary of the invention
But, when the method according to patent documentation 2 carries out the control of air-conditioning equipment, in order to carry out indoor environment/air conditioner load emulation accurately, needing carrying out in the computing machine emulated, correctly setting internal heat load.The indoor equipmenies such as lighting device, OA (Office Automation, office automation) equipment produce large thermal load.In order to distinguish these thermal loads accurately, needing by the such EMS in patent documentation 1, measuring and grasping working condition, the power consumption of indoor each equipment.But, in order to whole working conditions, the power consumption of each equipment in measuring chamber individually, need the kilowatt meter etc. that multiple price is high, significantly improve so there is cost and be difficult to realize such problem.
Therefore, the structure of the power consumption of mansion entirety only measured by general employing kilowatt meter.Even if in the mansion that surcharge is slightly high, also adopt and be only limitted to be equipped with kilowatt meter for each floor and measure the structure of power consumption.
In addition, when general office mansion, the Studies of Human Body Heat load of indoor occupant identically with the degree of the thermal value of indoor equipment, produces large impact, but exists without the such problem of the means directly measuring Studies of Human Body Heat load.
In recent years, also have method combine to infer Studies of Human Body Heat load with the reason according to secure context and the discrepancy room management system etc. that imports, but cost or height.In addition, room management system of coming in and going out is not the object all imported in that facility in an arbitrary point, so particularly in the mansion of middle and small scale not importing large-scale building management system etc., there is the problem being difficult to distinguish that Studies of Human Body Heat load is such.Due to these problems, when carrying out the prediction of the energy requirement in buildings, existing cannot low cost and compatibly carry out such problem.
The present invention completes in view of such situation, its object is to, provide a kind of can low cost and infer the internal heat load such as each equipment, human body in buildings accurately and can low cost and compatibly carry out energy management apparatus and the energy management system of the energy requirement prediction in buildings.
In order to solve above-mentioned problem, the present invention possesses: acquisition unit, obtains the action message of the air-conditioning equipment be provided with between floors and the information of building the meteorological condition of region of this buildings; External thermal load calculating part, uses the information of the described meteorological condition achieved, and calculates the external thermal load flowed into externally to inside from described buildings; And internal heat load estimating unit, according to the action message of the described air-conditioning equipment achieved, infer the air conditioner heat load as the thermal load of this air-conditioning equipment, according to the difference of this air conditioner heat load with the described external thermal load calculated, infer the internal heat load except this air conditioner heat load of the inside of described buildings.
According to the present invention, can provide can low cost and infer the internal heat load such as each equipment, human body in buildings accurately and can low cost and compatibly carry out energy management apparatus and the energy management system of the energy requirement prediction in buildings.
Accompanying drawing explanation
Fig. 1 is the block diagram of the structure of the energy management system that embodiments of the present invention are shown.
Fig. 2 is the block diagram of the structure example of the energy management apparatus illustrated in the energy management system of present embodiment.
Fig. 3 illustrates the sectional view to the mansion purser's room part of the representational thermal load that indoor environment has an impact in a purser's room in mansion.
Fig. 4 is the curve map of an example that the internal heat load inferred by energy management apparatus and external thermal load, air conditioner heat load are shown.
Fig. 5 is the curve map of the example that internal heat load (guess value), indoor equipment power consumption (measured value) and the Studies of Human Body Heat load (guess value) obtained by energy management apparatus are shown.
Fig. 6 is the curve map of the alteration mode example that indoor equipment power consumption is shown.
Fig. 7 is the curve map of the alteration mode example that indoor Studies of Human Body Heat load is shown.
The energy requirement obtained by energy management apparatus predicts the outcome and curve map that the variation of current various power consumptions illustrates in the lump by Fig. 8.
Fig. 9 is the 1st process flow diagram of the action for illustration of the energy requirement prediction being carried out mansion by energy management system.
Figure 10 is the 2nd process flow diagram of the action for illustration of the energy requirement prediction being carried out mansion by energy management system.
Figure 11 is the 3rd process flow diagram of the action for illustration of the energy requirement prediction being carried out mansion by energy management system.
Figure 12 is the 4th process flow diagram of the action for illustration of the energy requirement prediction being carried out mansion by energy management system.
(symbol description)
10: energy management system; 11: energy management apparatus; 11a: energy requirement prediction section (demand forecast portion); 11b: internal heat load estimating unit; 11c: maintenance data storehouse portion; 11d: external thermal load calculating part; 12: LAN (Local Area Network); 13: power measurement device; 14: air conditioning equipment controller (air-conditioning information acquisition unit); 15: public network; 16: weather information generator; 31: switchboard; 41a ~ 41n: air-conditioning equipment; 42,43: off-premises station; 42a, 42b ... 42m, 43a, 43b ... 43m: indoor set; Q
eW: outer wall thermal load; Q
sR: sunshine thermal load; Q
g: window heat trnasfer thermal load; Q
iNF: ventilation gap air thermal load; Q
iW: inwall floor thermal load; Q
e: indoor equipment thermal load (equipment thermal load); Q
h, 105: Studies of Human Body Heat load; Q
aC, 101: air conditioner heat load; 102: external thermal load; 103: internal heat load; 104: indoor equipment power consumption (equipment power dissipation); 104M: indoor equipment power consumption mode (alteration mode of indoor equipment power consumption); 105: Studies of Human Body Heat load pattern (alteration mode of Studies of Human Body Heat load); 121: anticipation outside air temperature; 122: prediction air-conditioning equipment power consumption; 123: prediction mansion overall power; 124: air-conditioning equipment power consumption; 125: mansion overall power (overall power).
Embodiment
Below, with reference to accompanying drawing, embodiments of the present invention are described.
The structure > of < embodiment
Fig. 1 is the block diagram of the structure of the energy management system 10 that embodiments of the present invention are shown.
Energy management system 10 low cost and infer the thermal load of indoor equipment, the human body etc. such as air-conditioning equipment, ligthing paraphernalia, OA equipment in buildings (such as mansion) accurately, suitably carries out the energy requirement prediction in mansion.The power measurement device 13 that this energy management system 10 is configured to possess energy management apparatus 11, be connected to via LAN (Local Area Network) 12 and energy management apparatus 11 and air conditioning equipment controller 14 and the weather information generator 16 be connected to via public network 15 and energy management apparatus 11.
Power measurement device 13 is arranged at the switchboard 31 in mansion, measures the power consumption (mansion overall power) of the electric equipment of at least mansion entirety.The power measurement data 23 of the mansion overall power value measured as this are sent to energy management apparatus 11 via LAN (Local Area Network) 12.
Air conditioning equipment controller 14 is connected to n (n is natural number) platform air-conditioning equipment 41a ~ 41n, obtains the air conditioning equipment operating data 24 of the information of the operational situation as each air-conditioning equipment 41a ~ 41n, is sent to energy management apparatus 11 via LAN (Local Area Network) 12.Wherein, the information of operational situation refers to the load current of the action message comprised as each air-conditioning equipment 41a ~ 41n, attraction when carrying out artificial atmosphere and discharges the information of the measured value such as each temperature of air.Action message, except load current, also comprises the information that motor rotational speed in each air-conditioning equipment 41a ~ 41n etc. is relevant with action.
In addition, being set to each air-conditioning equipment 41a ~ 41n is the encapsulation air conditioner being combined with off-premises station and indoor set.Therefore, the 1st air-conditioning equipment 41a is configured to possess the off-premises station 42 be connected to air conditioning equipment controller 14 and multiple indoor set 42a, 42b of being connected to this off-premises station 42 ... 42n.N-th air-conditioning equipment 41n is configured to possess the off-premises station 43 be connected to air conditioning equipment controller 14 and multiple indoor set 43a, 43b of being connected to this off-premises station 43 similarly ... 43n.
In addition, in encapsulation air conditioner, constituting the refrigeration cycle for carrying out cold and heat supply by off-premises station 42,43 and each indoor set 42a ~ 42m, these both sides of 43a ~ 43m, becoming and not shown compressor reducer, evaporator, condenser, pressure fan etc. being encased in these both sides and the assembly obtained in good time.
Weather information generator 16 is arranged at weather business company etc., and the weather forecast data 22 of the weather data 21 such as gas epidemic disaster, wind speed, sunshine amount of building the extraneous air measured in region in above-mentioned mansion, the computer forecast by the operation based on weatherman etc. are sent to energy management apparatus 11 via public network 15.
Energy management apparatus 11 is configured to possess energy requirement prediction section 11a, internal heat load estimating unit 11b, maintenance data storehouse portion 11c and external thermal load calculating part 11d.
Maintenance data storehouse portion 11c, for each date-time of this measurement date-time, predetermined date-time, stores and puts aside the power measurement data 23 received from power measurement device 13, the air conditioning equipment operating data 24 received from air conditioning equipment controller 14, the weather data 21 of the information as meteorological condition received from weather information generator 16 and weather forecast data 22.Wherein, by the not shown data of energy management apparatus 11 and the transmission and reception function (acquisition unit) of signal, the reception of each data is carried out.
External thermal load calculating part 11d calculates as described later and flow into indoor external thermal load from the outdoor of mansion.Internal heat load estimating unit 11b infers the internal heat load of the indoor of mansion as described later.In the calculating of external thermal load, there is several method, carry out the calculating utilizing thermal load to emulate in the present example, now, also implement the supposition of internal heat load.
The energy management apparatus 11 of such structure possesses CPU (CentralProcessing Unit as shown in Figure 2, CPU (central processing unit)) 101a, ROM (Read Only Memory, ROM (read-only memory)) 101b, RAM (Random Access Memory, random access memory) 101c, the memory storage (HDD:Hard DiskDrive etc.) 101d, these the inscape 101a ~ 101d that construct maintenance data storehouse portion 11c be the general structure be connected to bus 102.In such a configuration, such as CPU101a performs the program 101f being written to ROM101b, realizes each processing controls of energy management apparatus 11 described later.
Fig. 3 illustrates the sectional view to the mansion purser's room part of the representational thermal load that indoor environment has an impact in a purser's room 110 in mansion.
In purser's room 110, the windowpane installed outside 111 Shi mansions, 112 is outer walls, 113 is inwalls, 114 is floor (or ceilings of lower floor), and 115 is indoor sets of air-conditioning equipment, and 116 is light fixture, 117 is the office equipments as various electrical equipments such as OA equipment, and 118 is indoor occupants.Wherein, being set to indoor set 115 is some in each indoor set 42a ~ 42m, the 43a ~ 43m shown in Fig. 1.In addition, the sun is represented with symbol 120.
In addition, arrow Q
eWthe thermal load (outer wall thermal load) entering into purser's room 110 from outer wall 112, arrow Q
sRthe thermal load (thermal load at sunshine) being injected into the sunshine of purser's room 110 from windowpane 111, arrow Q
gthe thermal load (window heat trnasfer thermal load) being entered into purser's room 110 from windowpane 111 by heat trnasfer, arrow Q
iNFby ventilation, gap air and enter into the thermal load (ventilation gap air thermal load) of purser's room 110, arrow Q
iWit is the thermal load (inwall floor thermal load) entering into purser's room 110 from inwall 113, floor (or ceiling of lower floor) 114.Arrow Q
ethe thermal load (indoor equipment thermal load) produced from the light fixture 116 in purser's room 110, office equipment 117, arrow Q
hthe Studies of Human Body Heat load produced from the indoor occupant 118 in purser's room 110, arrow Q
aCit is the air conditioner heat load of machine 115 generation indoor.
In addition, in figure 3, the symbol theta shown in the side of point (black circle)
orepresent external air temperature, θ
rSrepresent the indoor temperature of purser's room 110, θ
arepresent the adjacent room temperature with the indoor adjacent up and down of purser's room 110, SAT (Sol-air temperature) represents suitable external air temperature.
In thermal load emulation, according to each thermal load Q represented with each arrow
eW, Q
sR, Q
g, Q
iNF, Q
iW, Q
e, Q
h, Q
aCkey element, according to predetermined instant interval, according to the information of the operating condition (room temperature setting, air quantity etc.) of meteorological condition (external air temperature, humidity, wind speed, sunshine amount etc.), buildings specification (wall, glass etc.) and air-conditioning equipment, calculate, thus indoor thermal load environment, the change etc. of air conditioner heat load can be obtained.In addition, each thermal load Q
eW, Q
sR, Q
g, Q
iNF, Q
iW, Q
e, Q
h, Q
aCcomputing method are known methods that above-mentioned non-patent literature etc. is recorded, so omit the description herein.
Wherein, the data of the buildings specification in the mansion of this example be windowpane 111, inside and outside wall 112,113, the gap of door etc., adiabatic condition, Concrete Thick, the size of window, the orientation etc. towards (orientation), buildings self, these buildings specification data are pre-stored within maintenance data storehouse portion 11c.
In addition, at each thermal load Q
eW, Q
sR, Q
g, Q
iNF, Q
iW, Q
e, Q
h, Q
aCin, indoor equipment thermal load Q
e, Studies of Human Body Heat load Q
h, and air conditioner heat load Q
aCit is the internal heat load of purser's room 110 inside.Thermal load beyond this, i.e. outer wall thermal load Q
eW, sunshine thermal load Q
sR, window heat trnasfer thermal load Q
g, ventilation gap air thermal load Q
iNF, inwall floor thermal load Q
iWbe equivalent to the external thermal load of the outside from purser's room 110.In explanation afterwards, being set to internal heat load is except air conditioner heat load Q
aCindoor equipment thermal load Q in addition
eand Studies of Human Body Heat load Q
hthese both sides.About air conditioner heat load Q
aC, power consumption obtained by the measured value according to the load current based on air conditioning equipment controller 14 etc., thus can obtain as measured value, so use individually.
, when carrying out thermal load emulation, compatibly carry out the artificial atmosphere in purser's room 110 herein, if hypothesis indoor environment is maintained controlled condition, then the following formula (1) that Fig. 3 records is set up.
Q
EW+Q
SR+Q
G+Q
INF+Q
IW+Q
E+Q
H+Q
AC＝0…(1)
Herein, air conditioner heat load Q
aCequal external thermal load (Q
eW+ Q
sR+ Q
g+ Q
iNF+ Q
iW)+internal load heat (Q
e+ Q
h), so by calculating Q
aC-(Q
eW+ Q
sR+ Q
g+ Q
iNF+ Q
iW), obtain calculating (Q
e+ Q
hthe following formula (2) of)=internal heat load.
Q
E+Q
H＝Q
AC-(Q
EW+Q
SR+Q
G+Q
INF+Q
IW)…(2)
External thermal load calculating part 11d shown in Fig. 1 is for all rooms of mansion, according to predetermined each time, according to the meteorological condition stored in the portion 11c of maintenance data storehouse and weather data 21 and buildings specification data, according to above-mentioned known method, calculate external thermal load (Q
eW+ Q
sR+ Q
g+ Q
iNF+ Q
iW).Wherein, the external thermal load (Q in the date-time in (future) calculated from now on by external thermal load calculating part 11d
eW+ Q
sR+ Q
g+ Q
iNF+ Q
iW) when, as meteorological condition, substitute weather data 21, and use weather forecast data 22.
Internal heat load estimating unit 11b obtains air-conditioning equipment power consumption by the load current value etc. being used in the air-conditioning equipment 41a ~ 41n in the air conditioning equipment operating data 24 that store in the portion 11c of maintenance data storehouse, obtains air conditioner heat load Q as measured value
aC.And then internal heat load estimating unit 11b carries out by by this air conditioner heat load Q
aC, and the external thermal load (Q that calculated by external thermal load calculating part 11d
eW+ Q
sR+ Q
g+ Q
iNF+ Q
iW) be applied to above formula (2) and obtain indoor equipment thermal load Q
e+ Studies of Human Body Heat load Q
hthe i.e. supposition of internal heat load.
The internal heat load and external thermal load, air conditioner heat load Q inferred like this are shown with curve map in the diagram
aCan example.In the diagram, transverse axis represents the time (0 point ~ 24 point) of 1 day, and the longitudinal axis represents the thermal load (kw) split by P0 ~ P9 equalization.In such transverse axis and the longitudinal axis, represent air conditioner heat load (measured value) with curve 101, represent outer wall thermal load (calculated value) with curve 102, represent internal heat load (guess value) with curve 103.
The relation of these thermal loads 101 ~ 103 is as shown in the formula shown in (3).
Air conditioner heat load 101-external thermal load 102=internal heat load 103 ... (3)
Therefore, internal heat load estimating unit 11b from during the specified time limit of having put aside among the portion 11c of maintenance data storehouse, such as 0 o'clock to 24 o'clock 1 day based in the mansion overall power of power measurement data 23, deduct the air-conditioning equipment power consumption corresponding to actual measurement, obtain indoor equipment power consumption (=indoor equipment thermal load Q
e).This calculating is represented with following formula (4).
Mansion overall power-air conditioner heat load 101=indoor equipment power consumption ... (4)
The mansion overall power of the actual measured value that the indoor equipment power consumption of this formula (4) obtains according to power measurement device 13 as shown in Figure 1 and air conditioner heat load 101 obtain, so be also measured value.
In addition, if air-conditioning equipment power consumption does not have actual measured value, then can also pass through air conditioner heat load Q
aCefficiency factor (COP) divided by air-conditioning equipment is obtained.
Herein, due to indoor equipment power consumption=indoor equipment thermal load Q
eif, so Q
eknown, then according to above formula (2), can obtain as shown in the formula (5) the Studies of Human Body Heat load Q being difficult to directly obtain like that
h.
Q
H＝Q
AC-(Q
EW+Q
SR+Q
G+Q
INF+Q
IW)-Q
E…(5)
In Figure 5, as an example, Studies of Human Body Heat load (guess value) Q that will be obtained by above formula (5)
hcurve 105 represent together with the indoor equipment power consumption (measured value) 104 represented with above formula (4) with the internal heat load (guess value) 103 based on above formula (3).Wherein, in Figure 5, the longitudinal axis is thermal load (kW), and transverse axis is the moment.
The relation of these thermal loads 103,105 and indoor equipment power consumption 104 represents with the following formula (5a) of equal value with above formula (5).
Internal heat load 103-indoor equipment power consumption 104=Studies of Human Body Heat load 105 ... (5a)
In the portion 11c of maintenance data storehouse, using date-time as shared condition (being also called parameter), store indoor equipment the power consumption 104 (=indoor equipment thermal load Q obtained like this
e) and Studies of Human Body Heat load Q
h.
Next, the energy requirement prediction section 11a shown in Fig. 1, according to each data stored in the portion 11c of maintenance data storehouse, carries out the prediction processing of energy requirement as described below.
As precondition, the Studies of Human Body Heat load 105 of the indoor equipment power consumption 104 shown in Fig. 5 and indoor is not usually by the impact of the variation of the meteorological condition of every day, and depend on the status of using of mansion and change, if so during utilization condition is equal, such as on ordinary days, off-day arranges during such each interval, then present roughly the same tendency.
Fig. 6 illustrates the alteration mode example of the indoor equipment power consumption 104 representing this identical tendency, and Fig. 7 illustrates the alteration mode example of indoor Studies of Human Body Heat load 105.
Fig. 6 is the figure of the curve of tentative data 104a, 104b, 104c of the indoor equipment power consumption 104 that the indoor of 3 days on ordinary days that status of using is equal are shown and the average indoor equipment power consumption mode 104M of this great deal of on the 3rd.Wherein, in figure 6, the longitudinal axis is thermal load (kW), and transverse axis is the moment.
Namely, in every 1 day of 3 days on ordinary days, by internal heat load estimating unit 11b, infer indoor indoor equipment power consumption 104, the guess value of the 1st day is curved as the 1st indoor equipment power consumption 104a, the guess value of the 2nd day is curved as the 2nd indoor equipment power consumption 104b, the guess value of the 3rd day is curved as the 3rd indoor equipment power consumption 104c.And then, by internal heat load estimating unit 11b, calculate the indoor equipment power consumption 104a of a great deal of on the 3rd, the average of 104b, 104c, obtain indoor equipment power consumption mode (also referred to as pattern) 104M.
Fig. 7 is the figure of the curve of tentative data 105a, 105b, 105c of the Studies of Human Body Heat load 105 that the indoor of 3 days on ordinary days that status of using is equal are shown and the average Studies of Human Body Heat load pattern 105M of this great deal of on the 3rd.Wherein, in the figure 7, the longitudinal axis is thermal load (kW), and transverse axis is the moment.
Namely, in every 1 day of 3 days on ordinary days, by internal heat load estimating unit 11b, infer indoor Studies of Human Body Heat load 105, the guess value of the 1st day is curved as the 1st Studies of Human Body Heat load 105a, the guess value of the 2nd day is curved as the 2nd Studies of Human Body Heat load 105b, the guess value of the 3rd day is curved as the 3rd Studies of Human Body Heat load 105c.And then, by internal heat load estimating unit 11b, calculate the average of Studies of Human Body Heat load 105a, 105b, 105c of a great deal of on the 3rd, obtain Studies of Human Body Heat load pattern (being also called pattern) 105M.
In order to obtain each pattern 104M, 105M like this, carry out following setting like that.Namely, in internal heat load estimating unit 11b, be set as indoor equipment power consumption 104 and the Studies of Human Body Heat load 105 of such as automatically inferring a great deal of on the 1st according to 1 time on the 1st so termly, and then, be set as the average computation of carrying out a great deal of on the 3rd, thus obtain each pattern 104M, 105M.This setting is carried out in the not shown setup unit of energy management apparatus 11.
And then in the portion 11c of maintenance data storehouse, be mapped date-time with associated data as parameter each pattern 104M, the 105M that store and obtain according to this setting.
Herein, when the energy requirement prediction section 11a of the energy management apparatus 11 shown in Fig. 1 to carry out the energy requirement prediction of a great deal of on the 1st according to each data stored in the portion 11c of maintenance data storehouse, following calculation process is carried out.
Energy management apparatus 11 is via public network 15, the weather forecast data 22 on the date of carrying out energy requirement prediction are obtained from weather information generator 16, emulated by the thermal load of external thermal load calculating part 11d, according to the weather forecast data 22 achieved and buildings specification data, calculate external thermal load.
Next, when carrying out energy requirement prediction by energy requirement prediction section 11a, retrieve each pattern 104M, the 105M that obtain from the date (with status of using day) that status of using is identical with the date (demand forecast day) of carrying out energy requirement prediction from maintenance data storehouse portion 11c, these search modes 104M, 105M are used as indoor equipment thermal load Q
ewith Studies of Human Body Heat load Q
h.
Herein, if according to the relation being emulated the above formula (1) set up by thermal load, in order to obtain air conditioner heat load Q
aCand carry out the distortion of above formula (1), then become following formula (6).
Q
AC＝-(Q
EW+Q
SR+Q
G+Q
INF+Q
IW+Q
E+Q
H)…(6)
If as this formula (6), the conditions such as the indoor environment that decision presets, time implementation date of air-conditioning, then by internal heat load estimating unit 11b, infer necessary air conditioner heat load Q
aC.
Next, by energy requirement prediction section 11a, the air conditioner heat load Q that this is obtained
aCdivided by COP, obtain the predicted value of air-conditioning equipment power consumption.Wherein, COP can also with air conditioner heat load Q
aCcorresponding function represents.By the prior function making COP according to air conditioning equipment operating data 24, precision improves further.
Herein, owing to being indoor equipment thermal load Q
e=indoor equipment power consumption, so in energy requirement prediction section 11a, can calculate mansion overall power predicted value like that to carry out energy requirement prediction as shown in the formula (7).
Mansion overall power predicted value (energy requirement predicts the outcome)=air-conditioning equipment power consumption+Q
e(7)
And then energy requirement prediction section 11a such as curve map is as shown in Figure 8 such, in not shown display, being predicted the outcome by this energy requirement shows together with the variation of current various power consumptions.Wherein, in fig. 8, the longitudinal axis is power consumption (kW), and transverse axis is the moment.In fig. 8, with anticipation outside air temperature 121, predict air-conditioning equipment power consumption 122 and predict together with mansion overall power (energy requirement predicts the outcome) 123, show until the air-conditioning equipment power consumption 124 of reality of current (14 points in figure) and mansion overall power 125.Anticipation outside air temperature 121 is achieving weather forecast data 22 point on the date of carrying out energy requirement prediction from weather information generator 16, external thermal load calculating part 11d obtains according to these weather forecast data 22.
The action > of < embodiment
Next, with reference to the process flow diagram shown in Fig. 9 ~ Figure 12, the action of the energy requirement prediction being carried out mansion by the energy management system 10 of said structure is described.Wherein, be set in the maintenance data storehouse portion 11c shown in Fig. 1, prestored the buildings specification data of the mansion of this example shown in Fig. 3.
In the step S1 shown in Fig. 9, by the energy management apparatus 11 shown in Fig. 1, receive the mansion overall power at every moment measured by the power measurement device 13 be provided with in the switchboard 31 in mansion via LAN (Local Area Network) 12.The mansion overall power this received, as power measurement data 23, is mapped with date-time and stores in the portion 11c of maintenance data storehouse.Wherein, be set to days are also mapped with the date-time in this action specification.
In addition, in step s 2, in energy management apparatus 11, receive the air conditioning equipment operating data 24 of each air-conditioning equipment 41a ~ 41n obtained by air conditioning equipment controller 14 via LAN (Local Area Network) 12, the air conditioning equipment operating data 24 this received are mapped with date-time and store in the portion 11c of maintenance data storehouse.
And then in step s3, in energy management apparatus 11, via public network 15, receive weather data 21 from weather information generator 16, the weather data 21 this received is mapped with date-time and stores in the portion 11c of maintenance data storehouse.
Next, in step s 4 which, by external thermal load calculating part 11d, for all rooms, mansion, according to predetermined each time, according to the weather data 21 stored in the portion 11c of maintenance data storehouse and buildings specification data, emulated by thermal load and calculate external thermal load (Q
eW+ Q
sR+ Q
g+ Q
iNF+ Q
iW).That is, calculate in figure 3 with the outer wall thermal load Q that arrow represents
eW, sunshine thermal load Q
sR, window heat trnasfer thermal load Q
g, ventilation gap air thermal load Q
iNF, inwall floor thermal load Q
iW.
In addition, in step s 5, by internal heat load estimating unit 11b, according to the air conditioning equipment operating data 24 stored in the portion 11c of maintenance data storehouse, obtain air-conditioning equipment power consumption, thus infer the air conditioner heat load Q as measured value
aC.
And then, in step s 6, by internal heat load estimating unit 11b, by the air conditioner heat load Q inferred in above-mentioned steps S5
aC, and the external thermal load (Q that calculates in above-mentioned steps S4
eW+ Q
sR+ Q
g+ Q
iNF+ Q
iW) be applied to above formula (2), thus infer based on indoor equipment thermal load Q
e+ Studies of Human Body Heat load Q
hinternal heat load.
By these step S4 ~ S6, such as used shown in curve in the diagram, obtain 1 day a great deal of (24 hours a great deal oves) air conditioner heat load (measured value) 101, external thermal load (calculated value) 102 and internal heat load (guess value) 103.The relation of these thermal loads 101 ~ 103 is as shown in above formula (3).
Next, in the step S7 shown in Figure 10, by internal heat load estimating unit 11b, from in the mansion overall power (power measurement data 23) of a great deal of on the 1st put aside among the portion 11c of maintenance data storehouse, deduct the air-conditioning equipment power consumption obtained in above-mentioned steps S5, obtain indoor equipment power consumption (=indoor equipment thermal load Q
e).This calculating formula is as shown in above formula (4).
Herein, indoor equipment power consumption=indoor equipment thermal load Q
e, so in step s 8, by internal heat load estimating unit 11b, by this Q
ebe applied to above formula (2), and then infer Studies of Human Body Heat load Q as above formula (5)
h.
By these step S7, S8, such as, as used shown in curve in Figure 5, obtain indoor equipment power consumption (measured value) 104 and the Studies of Human Body Heat load (guess value) 105 of 1 day.The relation of when also illustrating above-mentioned internal heat load (guess value) 103 together with them in Figure 5, each thermal load 103,105 and indoor equipment power consumption 104 is as shown in the above formula (5a) of equal value with above formula (5).
Next, in step s 9, in the portion 11c of maintenance data storehouse, date-time is stored as parameter indoor equipment the power consumption 104 (=indoor equipment thermal load Q obtained in above-mentioned steps S7 by internal heat load estimating unit 11b
e) and the Studies of Human Body Heat load 105 that obtains in above-mentioned steps S8.
Next, in step slo, by internal heat load estimating unit 11b, for each stipulated time, infer indoor indoor equipment power consumption 104, by this supposition, according to unit on the one, obtain each tentative data 104a, 104b, the 104c shown in Fig. 6, in the portion 11c of maintenance data storehouse, date-time is stored them as parameter.
In addition, in the step S11 shown in Figure 11, by internal heat load estimating unit 11b, for each stipulated time, infer indoor Studies of Human Body Heat load 105, by this supposition, according to unit on the one, obtain each tentative data 105a, 105b, the 105c shown in Fig. 7, in the portion 11c of maintenance data storehouse, date-time is stored them as parameter.
And then, in step s 12, by internal heat load estimating unit 11b, calculate the average of tentative data 104a, 104b, the 104c of the such as indoor equipment power consumption 104 of a great deal of on the 3rd stored in the portion 11c of maintenance data storehouse, obtain the indoor equipment power consumption mode 104M shown in Fig. 6.And then, calculate the average of tentative data 105a, 105b, 105c of the Studies of Human Body Heat load 105 of a great deal oves on the 3rd same as described above similarly stored, obtain the Studies of Human Body Heat load pattern 105M shown in Fig. 7.In the portion 11c of maintenance data storehouse, date-time is stored this each pattern 104M, 105M obtained as parameter.
Next, in step s 13, by the energy requirement prediction section 11a shown in Fig. 1, the energy requirement prediction of a great deal of on the 1st is started.
In this case, in step S14, in energy management apparatus 11, via public network 15, obtain the weather forecast data 22 on the date of carrying out energy requirement prediction from weather information generator 16.
Next, in step S15, emulated by the thermal load of external thermal load calculating part 11d, according to the weather forecast data 22 achieved in above-mentioned steps S14 and the buildings specification data stored in the portion 11c of maintenance data storehouse, calculate external thermal load (Q
eW+ Q
sR+ Q
g+ Q
iNF+ Q
iW).Now, according to weather forecast data 22, also obtain the expected value (anticipation outside air temperature) of outside air temperature.
Next, in step s 16, in internal heat load estimating unit 11b, from the portion 11c of maintenance data storehouse, indoor equipment power consumption mode 104M and the Studies of Human Body Heat load pattern 105M of the status of using day identical with demand forecast day is retrieved.
These search modes 104M, 105M, in the step S17 shown in Figure 12, in internal heat load estimating unit 11b, are used as indoor equipment thermal load Q
ewith Studies of Human Body Heat load Q
h.By by these Q
eand Q
h, and the external thermal load (Q that calculates in above-mentioned steps S15
eW+ Q
sR+ Q
g+ Q
iNF+ Q
iW) be applied to above formula (6), obtain air conditioner heat load Q
aC.
Next, in step S18, in energy requirement prediction section 11a, by the air conditioner heat load Q obtained in above-mentioned steps S17
aCdivided by COP, thus obtain the predicted value (prediction air-conditioning equipment power consumption) of air-conditioning equipment power consumption.
Herein, indoor equipment thermal load Q
e=indoor equipment power consumption, so in step S19, in energy requirement prediction section 11a, will predict air-conditioning equipment power consumption and indoor equipment thermal load Q
ebe applied to above formula (7), thus calculate the predicted value (prediction mansion overall power) of mansion overall power, obtain energy requirement and predict the outcome.
Next, in step S20, by energy requirement prediction section 11a, in not shown display, as shown in Figure 8, together with the anticipation outside air temperature 121 obtained in above-mentioned steps S15, the prediction air-conditioning equipment power consumption 122 obtained in above-mentioned steps S18 and prediction mansion overall power (energy requirement predicts the outcome) 123 obtained in above-mentioned steps S19, illustrate until the air-conditioning equipment power consumption 124 of reality of current (14 points in figure) and mansion overall power 125.
The effect > of < embodiment
As described above, the energy management apparatus 11 of present embodiment is configured to be possessed: acquisition unit (transmission and reception function), obtains the information of building the meteorological condition of region of load current as the action message of the air-conditioning equipment 41a ~ 41n be provided with in mansion and mansion; External thermal load calculating part 11d, the information of the meteorological condition having used acquired, calculates and flow into inner external thermal load (Q from the outside of mansion
eW+ Q
sR+ Q
g+ Q
iNF+ Q
iW); And internal heat load estimating unit 11b, according to acquired load current, infer the air conditioner heat load Q of the thermal load as air-conditioning equipment 41a ~ 41n
aC, according to this air conditioner heat load Q
aCwith the difference of the external thermal load calculated, infer mansion inside except air conditioner heat load Q
aCinternal heat load (=indoor equipment thermal load (equipment thermal load) Q in addition
e+ Studies of Human Body Heat load Q
h).
According to this structure, even if do not use for each group, the kilowatt meter measuring the power consumption of each equipment of mansion individually, by utilizing energy management apparatus 11, obtain the meteorological condition that region is built in the load current of the air-conditioning equipment 41a ~ 41n of the information as necessity and mansion, also can infer the internal heat load of each equipment, human body etc. in mansion.Therefore, it is possible to low cost and infer the internal heat load in mansion accurately.
In addition, in energy management apparatus 11, acquisition unit obtains the mansion overall power (overall power) as the power consumption of the electric equipment entirety be provided with in mansion, internal heat load estimating unit 11b, according to the mansion overall power achieved, difference with the air-conditioning equipment power consumption calculated according to the load current of air-conditioning equipment 41a ~ 41n, obtains the indoor equipment power consumption (equipment power dissipation) 104 of the electrical equipment beyond this air-conditioning equipment in mansion.Then, acquisition unit deducts indoor equipment thermal load corresponding to the indoor equipment power consumption 104 obtained with this and infers the Studies of Human Body Heat load Q of the thermal load of the human body as intra-building from internal heat load
h.
According to this structure, directly do not measure the Studies of Human Body Heat load Q in mansion
hmeasuring unit, and the load current of mansion overall power and air-conditioning equipment 41a ~ 41n can be used, be inferred the Studies of Human Body Heat load Q being difficult to distinguish by energy management apparatus 11 further
h.Therefore, it is possible to low cost and infer the Studies of Human Body Heat load Q in mansion accurately
h.
In addition, in energy management apparatus 11, being configured to internal heat load estimating unit 11b by indoor equipment power consumption and Studies of Human Body Heat load record is historical information, get this indoor equipment power consumption that have recorded and Studies of Human Body Heat load separately average, obtain the alteration mode of indoor equipment power consumption and Studies of Human Body Heat load predetermined period separately.
According to this structure, such as, certain indoor equipment power consumption of 1 day and Studies of Human Body Heat load alteration mode separately can easily be obtained.
In addition, in energy management apparatus 11, in acquisition unit, as meteorological condition, obtain the weather forecast data 22 of the predictive period carrying out energy requirement prediction.External thermal load calculating part 11d uses the weather forecast data 22 achieved to calculate external thermal load.Internal heat load estimating unit 11b carries out the historical information according to the status of using identical with predictive period, obtain indoor equipment power consumption and Studies of Human Body Heat load alteration mode separately, according to these alteration modes and the external thermal load that calculates, obtain the process of air conditioner heat load.In addition, be configured to possess the energy requirement prediction section 11a as demand forecast portion, the alteration mode of this energy requirement prediction section to the air-conditioning equipment power consumption obtained according to this air conditioner heat load and indoor equipment power consumption is added, and infers the predicted value of the overall power of predictive period.
According to this structure, can low cost and be applicable to and easily carry out in the mansion of a certain day energy requirement prediction.Therefore, such as, in today, thermal load looks like rising, so easily can tighten such strategy of Saving Energy somewhere, does not uprise to make it.As concrete example, in today, 2 points in the afternoon, look like the upper limited load exceeding mansion overall power, so monitor from 12 curves observing the energy requirement prediction of such as Fig. 8, can take at the time point that will exceed, from the electrical equipment that priority is low, stop such countermeasure.
In addition, energy management system 10 is configured to possess: above-mentioned energy management apparatus 11; Power measurement device 13, measures the power consumption of the electric equipment entirety be provided with in mansion; As the air conditioning equipment controller 14 of air-conditioning information acquisition unit, obtain the load current during action of the air-conditioning equipment 41a ~ 41n be provided with in mansion; And weather information generator 16, measure and predict the meteorological condition of building region of mansion and provide.
In this energy management system 10, also can obtain the effect same with above-mentioned energy management apparatus 11.
In addition, also in mansion, weather information generator 16 can be set as auxiliary device.In addition, Studies of Human Body Heat load 105 as indoor equipment power consumption 104 and indoor carries out the utilization condition changed by model identical, except on ordinary days, except off-day such interval, if mansion is commercial facility, then in unused phase, busy period etc., also carry out medelling.
In addition, the invention is not restricted to above-mentioned embodiment, comprise various variation.Such as, above-mentioned embodiment is the embodiment described in detail for ease of the present invention being described with understanding, and may not be defined in and possess said clear all structures.In addition, a part for the structure of certain embodiment can be replaced into the structure of other embodiments, and, the structure of other embodiments can also be added to the structure of certain embodiment.In addition, can for a part for the structure of each embodiment, that carries out other structures adds/deletes/displacement.
In addition, about above-mentioned each structure, function, handling part, processing unit etc., also can by such as with they part or all of hardware implementing such as integrated circuit (IC) design.In addition, about above-mentioned each structure, function etc., also can be explained by processor and perform the program realizing each function, using software simulating.The information such as program, form, file realizing each function can be placed in storer, hard disk, SSD (Solid State Drive, solid state driving machine) etc. pen recorder or, IC (Integrated Circuit, integrated circuit) card, SD (SecureDigital memory, secure digital stores) recording medium such as card, DVD (Digital Versatile Disc, Digital versatile disc).
In addition, about control line, information wire, show the control line, the information wire that are considered to be in and upper necessity is described, in product, be not necessarily limited to and all control lines, information wire are shown.Also can think that in fact nearly all structure is all interconnected.
Claims (5)
1. an energy management apparatus, is characterized in that, possesses:
Acquisition unit, obtains the action message of the air-conditioning equipment be provided with between floors and the information of building the meteorological condition of region of this buildings;
External thermal load calculating part, uses the information of the described meteorological condition achieved, and calculates the external thermal load flowed into externally to inside from described buildings; And
Internal heat load estimating unit, according to the action message of the described air-conditioning equipment achieved, infer the air conditioner heat load as the thermal load of this air-conditioning equipment, according to the difference of this air conditioner heat load with the described external thermal load calculated, infer the internal heat load except this air conditioner heat load of the inside of described buildings.
2. energy management apparatus according to claim 1, is characterized in that,
Described acquisition unit obtains the overall power of the power consumption as the electric equipment entirety be provided with in described buildings,
Described internal heat load estimating unit is according to the described overall power achieved, difference with the air-conditioning equipment power consumption calculated according to described action message, obtain the equipment power dissipation of the electrical equipment beyond this air-conditioning equipment in described buildings, from described internal heat load, deduct the equipment thermal load corresponding with this equipment power dissipation, infer the Studies of Human Body Heat load of the thermal load of the human body as described interior of building.
3. energy management apparatus according to claim 2, is characterized in that,
Described equipment power dissipation and described Studies of Human Body Heat load record are historical information by described internal heat load estimating unit, get this equipment power dissipation that have recorded and Studies of Human Body Heat load separately average, obtain the alteration mode of equipment power dissipation and Studies of Human Body Heat load predetermined period separately.
4. energy management apparatus according to claim 3, is characterized in that,
Described acquisition unit obtains the weather forecast data of the predictive period carrying out energy requirement prediction, is used as the information of described meteorological condition,
Described external thermal load calculating part uses the described weather forecast data achieved, and calculates external thermal load,
Described internal heat load estimating unit carries out following process: according to the described historical information of the status of using identical with described predictive period, obtain described equipment power dissipation and described Studies of Human Body Heat load alteration mode separately, according to these alteration modes and the described external thermal load calculated, obtain air conditioner heat load
Described energy management apparatus possesses demand forecast portion, and the alteration mode of this demand forecast portion to the air-conditioning equipment power consumption obtained according to described air conditioner heat load and described equipment power dissipation is added, and infers the predicted value of the overall power of described predictive period.
5. an energy management system, is characterized in that, possesses:
Energy management apparatus described in any one in claim 2 ~ 4;
Power measurement device, measures the power consumption of the electric equipment entirety be provided with between floors;
Air-conditioning information acquisition unit, obtains the action message of the air-conditioning equipment be provided with in this buildings; And
Weather information generator, measures the meteorological condition of building region of this buildings and predicts and provide.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2013-009057 | 2013-01-22 | ||
| JP2013009057A JP5943255B2 (en) | 2013-01-22 | 2013-01-22 | Energy management device and energy management system |
| PCT/JP2014/051097 WO2014115717A1 (en) | 2013-01-22 | 2014-01-21 | Energy-management device and energy-management system |
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| Publication Number | Publication Date |
|---|---|
| CN104919484A true CN104919484A (en) | 2015-09-16 |
Family
ID=51227508
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Also Published As
| Publication number | Publication date |
|---|---|
| WO2014115717A1 (en) | 2014-07-31 |
| JP5943255B2 (en) | 2016-07-05 |
| JP2014142686A (en) | 2014-08-07 |
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