JP2005221163A - Simulation device, method and system, and data base device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide simulation technology for simulating the load heat quantity applied to an air conditioning device and a cooling device, and estimating the power consumption in a shop and a facility where the air conditioning device and the cooling device coexist. <P>SOLUTION: This simulation device 2 comprises a shop/facility heat quantity calculating part 52 for calculating load heat quantity intruded to the shop and facility, a cooling device heat quantity calculating part 54 for calculating the load heat quantity applied to the cooling device and an air conditioning device heat quantity calculating part 56 for calculating the load heat quantity applied to the air conditioning device. A power consumption calculating part 58 calculates the power consumption of the device on the basis of the load heat quantity applied to each device, and an evaluating part 60 evaluates the transition of power consumption of the entire device by each set value of each device at each time. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a technology for simulating the amount of heat and power consumption in a substantially enclosed space such as a store or a facility, and in particular, simulates the amount of heat and power consumption in a space where cooling equipment and air conditioning equipment are mixed. Regarding technology.

In order to save energy (hereinafter referred to as “energy saving”) of the air conditioner, it is necessary to adjust the set temperature or shorten the operation time. In order to make efficient use of energy resources, techniques for energy saving have been proposed. As one of such technologies, there has been proposed a technology for achieving energy saving while keeping the room temperature appropriate by intermittently operating air conditioners in various buildings such as intelligent buildings and office buildings (for example, patents). Reference 1).
JP-A-9-217953 JP-A-10-205852 JP-A-8-94150

  In food stores such as convenience stores that sell food, air-conditioning equipment such as air conditioners and refrigeration equipment such as refrigerated showcases are mixed. Conventionally, with regard to energy saving of equipment installed in a store, efforts have been made to save energy with a single device such as only an air conditioner or only a showcase. In order to save energy by considering the equipment installed in the store in total, it simulates what kind of heat load each equipment handles and what kind of power it consumes, and it is optimal every hour However, there is a need for a technique for obtaining a set temperature / humidity value of an air conditioner and a set temperature of a showcase, but such a simulation technique has not been proposed so far.

  In addition, in the heat load / power consumption simulation system for showcases and air conditioners installed in food stores, store environment information (store outer wall / window area, heat passage rate, number of lighting devices, etc.) related to the target store in advance. It is necessary to perform a survey to input them as parameter values during simulation.

  When the number of simulation stores increases, or when it is necessary to output simulation results efficiently, there arises a problem that the investigation work / input work load related to these parameter values increases. As a technique for reducing the parameter input work load, there is a DB (database) technique for calculating the thermal load of a building for an air conditioner, but when retrieving data from CAD data or various data DBs, only the number of parameters is set. Key information is required.

  The present invention has been made in view of such problems, and its purpose is to calculate the intrusion load heat amount into the space as a technique for evaluating and simulating the energy saving of a substantially enclosed space such as a store or a facility. In addition, by calculating how the heat load is affected and distributed to showcases and air conditioning equipment, the equipment load heat amount and power consumption during a certain period are simulated to realize energy saving for the entire equipment. The object is to provide a technique for obtaining a set value of a device. In addition, the present invention constructs a database for storing environmental information such as stores and facilities, connects to a load calorie / power consumption simulation device, and collects parameter information necessary for the simulation from this database Providing technology to reduce the work of prior survey and input of values.

  In order to solve the above-described problem, an aspect of the present invention includes an air conditioner, a first calorific value calculation unit that calculates an intrusion load heat amount into a space where an electric device that absorbs or releases heat is present, and an electric device. A second heat quantity calculation unit for calculating the load heat quantity, a third heat quantity calculation part for calculating the load heat quantity applied to the air conditioner on the basis of the calculation result by the first heat quantity calculation part and the calculation result by the second heat quantity calculation part. A simulation apparatus is provided. The simulation apparatus according to this aspect may further include a power calculation unit that calculates power consumption of the air conditioner and the electric device based on the calculation results of the second heat amount calculation unit and the third heat amount calculation unit. Furthermore, the simulation apparatus may further include an evaluation unit that evaluates the power consumption of the device. The air conditioner and the electric device are in a relationship in which one operation state affects the other operation state. According to this simulation apparatus, the amount of heat applied to the device in the space and / or the device in consideration of this relationship. It is possible to appropriately simulate and obtain the amount of power consumption.

  The space is a substantially sealed space formed in a store or a facility, for example. The substantially sealed space means a substantially closed space that is not open to the outside in a normal state, and includes a floor provided with a food department of a department store in addition to a store or a facility. In addition, the substantially sealed space should just be a substantially closed space as a whole, and is a concept including a space where there is a connection port with the outside in part.

  The electric device is a device that absorbs or discharges heat in addition to the air conditioner in a space where the air conditioner exists, and examples thereof include a cooling device such as a showcase in a food store. Note that the electrical device is not installed for the purpose of absorbing or releasing heat in the space, but may be one that absorbs or releases heat as a result of operation. Electrical devices include not only cooling devices that absorb heat, but also devices that release heat into the space, such as devices for warming drink cans at convenience stores (hereinafter referred to as “convenience stores”).

  Another aspect of the present invention relates to a storage unit that stores information related to a store or facility, which is a parameter value used during simulation, in association with a predetermined number of search keys by the number of items greater than the number of items in the search key. An accepting unit that accepts a predetermined number of search keys, and a search unit that retrieves information related to a store or facility associated with the accepted search key and reads out more items than the number of items in the search key. Provided is a database device. According to the database device of this aspect, a large amount of information can be read out using a small number of search key items, and in particular, the operation of an efficient simulation device can be performed by using the parameter value input to the simulation device. Is possible.

  It should be noted that any combination of the above-described constituent elements and a conversion of the expression of the present invention between a method, an apparatus, a system, a recording medium, a computer program, etc. are also effective as an aspect of the present invention.

  According to the present invention, in a substantially sealed space such as a store or facility where an air conditioner and an electric device that absorbs or releases heat exist, it is possible to appropriately simulate the amount of heat applied to the air conditioner and the electric device. It is also possible to simulate the power consumption at that time, evaluate the power consumption per predetermined period, and realize energy saving for the entire equipment. It is possible to calculate a set temperature / humidity value, a set value of an electrical device, and the like. In addition, by realizing a database that can search a large number of parameter values for simulation from a small number of key items, it is possible to easily acquire data to be input to the simulation apparatus.

  In the simulation system according to the embodiment of the present invention, in a substantially sealed space such as a store or facility where electrical equipment such as air conditioning equipment and refrigeration equipment is mixed, the heat load invading into the space and the processing load heat quantity of the electrical equipment and air conditioning equipment A function that calculates the power consumption of a device based on the results of these calculations and determines the setting value of the device for each device that reduces the power consumption of the entire device. It has. Furthermore, the simulation system also has a database function that facilitates acquisition of parameter values to be input for performing simulation. In the following, a simulation technique for calculating the amount of heat and power consumption of a device in a food store environment where air conditioners and cooling showcases coexist will be described.

  FIG. 1 is a functional block diagram of a simulation system 1 according to the embodiment. The simulation system 1 includes a simulation device 2 and a database (hereinafter referred to as “DB”) server 3. The DB server 3 may be called a database device. The simulation apparatus 2 and the DB server 3 are connected by a network 4. The network 4 may be configured by a LAN, a WAN, or the like, and may be a wireless network or a wired network. Further, depending on the usage pattern of the simulation system 1, the simulation apparatus 2 and the DB server 3 may be directly connected by a cable or the like without going through the network 4, or may be configured integrally, that is, as one server. It may be.

  The simulation apparatus 2 includes a simulation unit 10, a communication unit 12, a registration unit 14, a store / facility information storage unit 16, and a search GUI unit 20. The search GUI unit 20 is a GUI for executing searches related to store / facility environment information used as parameter values during simulation, collecting store / facility environment information from the DB server 3, setting data in the simulation unit 10, and the like. (Graphical user interface). The communication unit 12 communicates with the DB server 3 via the network 4, transmits the search condition input from the search GUI unit 20 to the DB server 3, and stores store / facility environment information as a search result from the DB server 3. Receive. The registration unit 14 stores the store / facility environment information transmitted from the DB server 3 in the store / facility information storage unit 16. Based on the store / facility environment information stored in the store / facility information storage unit 16, the simulation unit 10 obtains the amount of heat applied to the air conditioner and the showcase by calculation, and sets the power consumption of the entire device to the device. Evaluate by value. The simulation unit 10 may be provided with store / facility environment information from the search GUI unit 20.

  The DB server 3 includes a management unit 30, a communication unit 32, and a store / facility information DB unit 34. The store / facility information DB unit 34 includes a table composed of parameter information necessary for the simulation unit 10 such as store / facility environment information, that is, store / facility shape, outer wall, roof, glass surface, and the like. Here, the store / facility information DB unit 34 stores the store / facility environment information by the number of items larger than the number of items of the search key in association with a predetermined number of search keys. The management unit 30 manages input / output of information in the store / facility information DB unit 34. The communication unit 32 communicates with the simulation apparatus 2. The management unit 30 functions as a reception unit that receives an input condition, that is, a search key from the simulation apparatus 2, and stores the store / facility environment information associated with the received search key in the store / facility information DB unit. It functions as a search unit that searches and reads from 34, and also functions as a providing unit that provides the search result to the simulation apparatus 2.

  First, a simulation function in the simulation system 1 is shown. This simulation function is realized by the simulation unit 10 in the simulation apparatus 2.

FIG. 2 is a conceptual diagram for showing the heat transfer in the store / facility 9. In the store / facility 9, there are air conditioners including the outdoor unit 5 and the indoor unit 6, and cooling units including the refrigerator 7 and the showcase 8. The shop / facility 9 is loaded with a load heat quantity Q _shop from the outside. Among them, the air conditioner processes the heat quantity Q _air and the cooling equipment processes the heat quantity Q _sc . Here, Q _shop = Q _sc + Q _air .

  In the following examples relating to the simulation function, in calculation of the amount of heat applied to the store / facility 9 and the amount of heat processed by the cooling equipment and air conditioner, 1) the target of the store / facility, air conditioner, showcase, etc. In this case, a precondition is set: formulation of the thermal load calculation formula, and 2) formulation of the thermal load calculation formula considering only steady characteristics.

FIG. 3 is a block diagram focusing on the configuration for performing the calculation function of the simulation unit 10. The simulation unit 10 includes a heat amount calculation unit 50, a power consumption calculation unit 58, and an evaluation unit 60. The calorific value calculation unit 50 is a store / facility calorie calculation unit 52 that calculates the intrusion load calorie Q _shop into the shop / facility, a refrigeration device calorie calculation unit 54 that calculates the intrusion load calorie Q _sc into the showcase, and an air conditioner. An _air conditioner calorie calculating unit 56 for calculating the processing calorie Q _air .

  This simulation function is realized in the simulation apparatus 2 by a CPU, a memory, a program loaded in the memory, and the like, and here, functional blocks realized by their cooperation are depicted. The program may be built in the simulation apparatus 2 or supplied from the outside in a form stored in a recording medium. The simulation apparatus 2 may exist as a dedicated terminal in the simulation system 1 or may exist as a general-purpose machine such as a personal computer that functions by downloading an intended program. Accordingly, those skilled in the art will understand that these functional blocks can be realized in various forms by hardware only, software only, or a combination thereof.

(1) Calculation of intrusion load heat quantity Q _shop into store / facility The store / facility heat quantity calculation unit 52 sets indoor temperature / humidity conditions, air temperature / humidity inside the store / facility, outside temperature / humidity, outer wall / window area, Considering the environmental conditions of stores and facilities such as lighting equipment, calculate the amount of heat Q _shop that enters the stores and facilities at a certain time. The designation of the sampling time will be described later.

<Calculation formula>
・ Invasion load heat amount into the store / facility: Q _shop [kcal / h] = indoor load [kcal / h] + outside air load [kcal / h]
(Indoor load)
The total value of the following load calories.
・ Solar radiation (glass surface) [kcal / h] = A × S × SC
A: Glass area [m ² ], S: Standard solar heat acquisition [kcal / (m ² · h)], SC: Shielding coefficient, conduction heat + radiant heat (outer wall / roof) [kcal / h]: A × K × ETD
A: Wall / roof area [m ² ], K: Heat transfer rate [kcal / (m ² · h · ° C)], ETD: Effective temperature difference [° C]
・ Conductive heat (other than roof, glass, partition, etc.) [kcal / h]: A x K x T
A: Wall / roof area [m ² ], K: Heat transfer rate [kcal / (m ² · h · ° C)], T: Indoor / outdoor temperature difference [° C]
・ Internally generated heat (human body) [kcal / h]: m × q
m: Number of people q: Amount of heat generated from the human body per person [kcal / (h ・ person)] = 102 (This number is for department stores)
・ Internally generated heat (lighting (fluorescent lamp)) [kcal / h]: Wattage [W] ・ 1.08
(Outside air load): For ventilation, ventilation frequency method [kcal / h]
0.28 × n × V × (t1-t2) + 720 × n × V × (x1-x2)
n: Number of times [times / h], V: Store / facility volume [m ³ ], t1, t2: Indoor and outdoor temperatures [° C], x1, x2: Indoor and outdoor absolute humidity [kg / kg ']

(2) Calculation of intrusion load heat quantity Q _sc into showcase The refrigeration equipment heat quantity calculation unit 54 calculates the load heat quantity Q _sc that enters the showcase 8, that is, is processed for each indoor set temperature and humidity. The refrigeration equipment heat quantity calculation unit 54 pays attention to the sensible heat / latent heat change of the air cooled in the showcase 8, the amount of air entering the showcase, the indoor air temperature / humidity value, and the cooling air temperature value of the showcase cooler. Then, the amount of sensible heat and latent heat processed by the showcase (refrigerator) is calculated, and the total value is calculated. Furthermore, the amount of heat required to melt frost in the showcase cooler is calculated.

FIG. 4 shows the structure of a cooling device composed of the refrigerator 7 and the showcase 8. In the drawing, arrows indicate air flow paths in the showcase 8. In the showcase 8, the air is cooled in the cooler 74 provided on the back side, blown out from the blowout port 71, sucked in through the suction port 73, and returned to the cooler 74. Usually, an air curtain 72 is formed on the front side of the showcase 8 so as to prevent cool air from being released into the room. The refrigeration equipment heat quantity calculation unit 54 calculates the load heat quantity Q _SC entering the showcase 8 for each room temperature and humidity value as follows.

  The cooler 74 removes sensible heat and latent heat of the indoor humid air. Specifically, 1) sensible heat removal from dry air and water vapor (including water and ice after phase change), and 2) latent heat removal required for phase change of water vapor. With regard to latent heat removal, in the case of a refrigerated showcase, the cooling air temperature is 0 [° C.] or lower, so during the cooling from the room temperature to the cooling air temperature, from the moisture in the air to water vapor → water (dew point reached: condensation heat (Removal) → ice (melting point: solidification heat removal) in order to cause a phase change, each latent heat removal is required. As for the sensible heat removal, regarding the cooling from the room temperature to the cooling air temperature, the sensible heat of water condensed (water) and solidified (ice) in the cooler section is removed. Based on the above, sensible heat [kJ / kg] and latent heat [kJ / kg] are calculated as follows.

<Calculation parameters>
・ The room air temperature ts [° C] and relative humidity φs [%] are set as initial calculation conditions. Thereby, the absolute humidity xs [kg / kg ′] and the dew point td [° C.] of the room air are obtained.
The absolute humidity xr [kg / kg ′] of the showcase cooling air is obtained from the temperature tr [° C.] of the showcase cooling air set as the initial calculation condition and the absolute humidity xs.
・ Amount of water finally frosted by the cooler 74: xs-xr [kg / kg ']
・ Intrusion air amount G _in [kg / h] into showcase storage: Set as initial calculation condition.
・ Water freezing point temperature: tm = 0 [℃]
・ C _pa : Average constant pressure specific heat of dry air [kJ / (kg ・ K)] = 1.005
・ C _pv : Average constant pressure specific heat of steam [kJ / (kg · K)] = 1.859
・ C _pw : constant pressure specific heat of water [kJ / (kg ・ K)] = 4.186
・ C _pi : Constant-pressure specific heat of ice [kJ / (kg ・ K)] = 2.093

水分凝結後空気定圧比熱[kJ/(kg・K)]：C_pr[kJ/(kg・K)]

ａ−２）水
Q_w[kJ/h]＝G_in×(xs−xr)×C_pw×(td−tm)
ａ−３）氷
Q_i[kJ/h]＝G_in×(xs−xr)×C_pi×(tm−tr)
なお、Q_a2はtd＞trであることを条件とし、すなわち水分が凝結した場合に計算する。同様に、例えばａ−３）に示すQ_iも、氷ができた場合に計算する。 <Calculation formula>
a) Calculation formula of sensible heat a-1) Wet air
Q _a1 [kJ / h] ＝ G _in × C _ps × (ts−td) Before moisture condensation
Q _a2 [kJ / h] ＝ G _in × C _pr × (td−tr) After water condensation, before air condensation Air constant pressure specific heat [kJ / (kg ・ K)]: C _ps [kJ / (kg ・ K)]

Air constant pressure specific heat after moisture condensation [kJ / (kg ・ K)]: C _pr [kJ / (kg ・ K)]

a-2) Water
Q _w [kJ / h] = G _in × (xs−xr) × C _pw × (td−tm)
a-3) Ice
Q _i [kJ / h] ＝ G _in × (xs−xr) × C _pi × (tm−tr)
Q _a2 is calculated on the condition that td> tr, that is, when moisture condenses. Similarly, for example, Q _i shown in a-3) is also calculated when ice is formed.

tdにおける凝縮潜熱[kJ/kg]：h_e＝2501−2.34×td
凝固熱：Q_m[kJ/h]

tm（＝0[℃]）における凝固熱[kJ/kg]：h_m＝334.9 b) Calculation formula of latent heat Condensation heat: Q _e [kJ / h]

latent heat of condensation in the td [kJ / kg]: h e = 2501-2.34 × td
Solidification heat: Q _m [kJ / h]

Heat of solidification [kJ / kg] at tm (= 0 [℃]): h _m = 334.9

From the above, the heat load Q _sc applied to the showcase is as follows. In the case of the refrigerated type, since tr> tm, Q _i = Q _m = 0.
Q _SC [kJ / h] = Q _a1 + Q _a2 + Q _w + Q _i + Q _e + Q _m
The amount of heat Q _df required for defrosting the cooling device is Q _df = Q _i + Q _m . (Only for frozen type)

(3) Calculation of processing load heat quantity Q _air of air conditioner The _air conditioner heat quantity calculation unit 56 calculates the load heat quantity Q as the difference between the intrusion load heat quantity into the store / facility and the load heat quantity acting on the showcase for each set temperature and humidity. Calculate _air .
・ Intrusion load heat quantity into store / facility: 4.186 × Q _shop [kJ / h]
・ Intrusion load heat quantity into the showcase: Q _sc [kJ / h]
・ Processing heat quantity of air conditioning equipment: Q _air [kJ / h] = 4.186 x Q _shop [kJ / h] −Q _sc [kJ / h]

(4) Calculation of power consumption of each device The power consumption calculation unit 58 consumes the amount of heat required to process the load heat amount from the load heat amount processed by each device and the COP (Coefficient of Performance) of each device. Calculate power. At this time, the power consumption of the entire device is calculated by taking into account the fan drive power of the device and the illumination power. Further, by calculating the amount of frost formation in the showcase cooler and the amount of heat necessary for melting, the defrosting heater power specific to the cooling showcase is also calculated. When other devices exist in the store / facility, the power consumption of the other devices may be calculated as the entire store / facility in addition to the power consumption calculated below.

The power consumption of the device is a total value of the following three types of power consumption.
a) Power consumption required for heat load processing The device power consumption is calculated from the amount of load heat processed by each device and the rated COP (Coefficient of Performance) of the device.
a-1) In the case of air-conditioning equipment (COP of outdoor unit: COPa)
Power consumption [kW] ＝ Q _air [kJ / h] / (COPa × 3600)
a-2) In case of showcase (COPs of refrigerators: COPs)
Power consumption [kW] = Q _sc [kJ / h] / (COPs x 3600)
b) Showcase defrost heater power consumption (heater COP: COPd)
In addition, the power consumption of the heater is calculated from the amount of heat necessary for defrosting in the cooler section and the rated COP of the heater.
Power consumption [kW] = Q _df / (COPd x 3600)
Heat required for defrosting in the cooler: Q _df = Q _i + Q _m
c) Other power consumption (equipment power consumption unrelated to thermal load)
This is device power consumption unrelated to the thermal load processed by each device. For example, the rated power consumption value of the device is used.
・ In the case of air conditioners Power consumption of indoor unit fans and outdoor unit fans ・ In the case of showcases Showcase body: Power consumption of interior fans, lighting, etc. Refrigerators: Power consumption of fans, etc. In the case of ceiling lighting Power consumption of lighting

(5) Evaluation of power consumption The evaluation unit 60 evaluates the power consumption of the device from the power consumption calculated by the power consumption calculation unit 58 and the usage time. The evaluation unit 60 calculates the transition of a load heat amount and power consumption acting on the store and each device in a certain period. Specifically, the above-described calculations (1) to (4) are performed at a predetermined sampling time, and the transition of a predetermined period, for example, one day or year is calculated with respect to the amount of heat of load and the amount of power consumption. To do. Change the temperature / humidity setting value of the air conditioner and the cooling air temperature setting value of the showcase every hour, calculate the transition, and change the device setting value every hour based on the total power consumption Evaluate energy-saving performance when changed to.

FIG. 5 shows an evaluation flow of power consumption during a predetermined period. Here, the power consumption for one day is calculated every hour. That is, the sampling time is set to 1 hour. First, the total value W of power consumption is set to 0 (S10). The calculation start time _Tα is set, and for example, the calculation start time is designated as 8:00 (S12). In this evaluation flow, the power consumption from 8 o'clock to 8 o'clock the next day is estimated.

A set temperature / humidity value of the air conditioner at time 8:00, a cooling air temperature value of the showcase, and the like are set (S14). Subsequently, the intrusion load heat amount to the store / facility for 1 hour from 8 o'clock, the intrusion load heat amount to the showcase and the processing load heat amount of the air conditioner are calculated (S16), and one hour of the cooling equipment and the air conditioner is calculated. The amount of power consumption W _cal is calculated (S18). W _cal is added to W (S20), and it is determined whether the time is 7:00 of the next day (S22). If it is not 7:00 on the next day (N in S22), the time T is incremented by ΔT (here, 1 hour) (S24), and the steps from S14 to S20 are repeatedly executed. When the time is 7:00 on the next day (Y in S22), the simulation is terminated. At this time, W is the total sum of power consumption for one day estimated by 8 o'clock the next day.

  In S14, the evaluation unit 60 changes the set values such as the set temperature and humidity values of the air conditioner and the cooling air temperature value of the showcase, and repeats the simulation shown in FIG. 5, thereby minimizing the power consumption W. The set value can be searched. At this time, for the set temperature / humidity value of the air conditioner, for example, a threshold value for maintaining comfort in the store is set, and the cooling effect of the showcase is also kept to a minimum for the cooling air temperature value of the showcase Set a threshold for this. Thereby, it is possible to search for each optimum set value that minimizes the power consumption W while maintaining the functions of the air conditioner and the showcase. As a result, it is possible to obtain a set value in consideration of comfort and the like while realizing energy saving.

  By using the simulation technology in this embodiment, it is possible to simulate the total load heat and power consumption of a store in a certain period in a space where air conditioners and showcases such as food stores coexist, thereby saving energy. In order to achieve this, it is possible to determine how to set the set value of the device at each time by simulation. By calculating the amount of heat applied to the store or equipment using the predicted value of the outside air temperature / humidity value for each season, it is possible to simulate the power consumption of the equipment in the store over a long period of time such as one year. Note that the simulation technique of the present embodiment can be applied to stores other than food stores, and can also be applied to facilities different from stores.

  The simulation function of the load heat amount and the power consumption amount in the simulation system 1 has been described above. This technique can be used by a user or system developer as a simulation tool.

  In this simulation system 1, it is necessary to input information about a store or a facility such as a glass window area or a wall area to the simulation unit 10 in order to perform a heat load simulation. If the store / facility information storage unit 16 stores all store / facility environment information necessary for the simulation in advance, the simulation unit 10 may extract information from the store / facility information storage unit 16. However, for example, when a system contractor is entrusted with a store simulation under various conditions from a business entity of a convenience store, especially when entrusted by a plurality of business entities, the DB is separate from the simulation apparatus 2. It is a flexible system that stores multiple store / facility environment information, such as convenience stores and super chains, in the server 3 and accesses the database so that necessary information can be obtained for each simulation. From the viewpoint of sex.

  In the following, the database function of the simulation system 1 that can efficiently acquire store / facility environment information used at the time of simulation will be described assuming that such a system contractor performs a simulation regarding stores and facilities.

  Returning to FIG. 1, the DB server 3 responsible for the database function includes a store / facility information DB unit 34. In the present embodiment, it is assumed that the following values are set as the store / facility environment information in the simulation unit 10. These sets are expressed as parameter value p1.

<A set of parameter values: p1>
External wall area, ceiling area, glass window area, glass window heat transfer rate, external wall heat transfer rate, ceiling heat transfer rate, glass window shielding coefficient, ventilation frequency, number of lighting equipment, lighting wattage, etc.

  The store / facility information DB unit 34 stores environmental information for each store / facility. This database includes parameter information required by the simulation unit 10 such as store / facility shape, outer wall, roof, glass surface, and the like, and the main attribute value is the parameter value p1. Hereinafter, a store simulation will be taken as an example on behalf of a store / facility.

  Environmental information such as store shape and interior condition can be classified by convenience store chain or super chain. In particular, suburban stores tend to be unitized for each convenience store chain in order to reduce costs, such as store shape and interior, and in the future it will be close to store standardization. It is thought that the store environment will be unified. In that case, the store environment information is determined according to the form and scale of the store, and therefore the DB server 3 shown in the present embodiment can efficiently provide data to the simulation device 2. Become.

  FIG. 6 shows an example of the structure of a database. The structure of the database is a relational database, and a case where a store name (chain store name or convenience store name), form classification, and store size are used as a composite key is taken as an example. Information about the stores that have been constructed for each store or information such as future plans is collected and stored in a database. This database is created based on information provided by each convenience store dealer.

FIG. 7 shows an example of a store / facility environment information table. This table shows details of the parameter values of the database shown in FIG. Here, the store name, the form classification, and the store scale search key are associated with each of the seven types of outer wall area, ceiling area, glass window area, ventilation rate, number of lighting devices, air conditioner set type, and showcase set type. Item data exists.
FIG. 8 shows an example of a store / facility environment information table. This table stores parameter values determined according to the store type name and the form classification.
7 and 8, the store type name is the name of the store operator. In addition, when the store operator itself uses the simulation system 1 according to the present invention, the item of the store type name is unnecessary, and in the database in that case, the environment information is associated with the key of the form classification and the store size. Will be set.

  As the form classification, three types are prepared: suburban type, in-store type (a plurality of stores and facilities coexist), and tenant type (first floor of an apartment building, etc.). Other forms may be included.

  As for the store scale, the store area is registered in units of a predetermined area. This step width is an example and may be an arbitrary width. In addition, when registering data, it is preferable to aggregate the environmental information of stores whose areas are within a certain range and average the parameter values.

  Depending on the form and store, the environmental information is not necessarily the same data, but it can be used as at least a certain template. By using this database, not only can the acquisition of input data during simulation be simplified, but also the reliability of the simulation can be improved.

  FIG. 9 shows a set table for an air conditioner, and FIG. 10 shows a set table for a showcase. Since air conditioners and showcases are also determined according to the store name, form classification, and store size, the acquisition of input data during simulation can be facilitated by making these data into a table.

Returning to FIG. 1, the management unit 30 receives the above composite key information, searches the database based on the information, and extracts the corresponding record. That is, the management unit 30 implements a database management system function in a relational database. At this time, from the structure of the store / facility information DB unit 34 described above, a record composed of a larger number of items is extracted on the basis of the information on the smaller number of key items.
The communication unit 32 receives a search key from the simulation device 2 that simulates store load heat and power consumption, and transmits a database search result (parameter information).

  In the simulation apparatus 2, the user inputs a store name, a form classification, and a store scale from the search GUI unit 20, and acquires store / facility environment information from the DB server 3 via the network 4. That is, the search GUI unit 20 functions as a user interface for accepting an input of a search key to be transmitted to the DB server 3 from the user and displaying a search result provided from the DB server 3. The search GUI unit 20 preferably presents the provided search results to the user in a modifiable manner.

  FIG. 11 is an example of a screen 80 displayed on the monitor in the search GUI unit 20. The user inputs composite key information of a store name, a form classification, and a store scale as a search key in the key input field 82 and then presses the search button 84. The key information input method may be a selection format from a pull-down list or a direct input format from a keyboard or the like.

  The input key information is transmitted from the communication unit 12 to the DB server 3 via the network 4. In the DB server 3, the communication unit 32 receives the key information, and the management unit 30 retrieves and reads out the environmental information data associated with the key information from the store / facility information DB unit 34. The communication unit 32 transmits the read environment information data to the communication unit 12 via the network 4. The environment information data received by the communication unit 12 is stored in the store / facility information storage unit 16 by the registration unit 14, and the search GUI unit 20 outputs the acquired environment information data to the parameter value output field 90 on the screen.

  If there is no problem with the numerical value displayed in the parameter value output field 90, the user presses an OK button 86 to set the acquired parameter in the simulation unit 10. The reset button 88 is provided to reset the input key information. When the acquired environmental information data is different from the environmental information of the target store to be actually simulated, the user may directly correct the data in the parameter value output field 90. Note that if the store name, form classification, and store scale are the same, the environmental information will actually have the same amount of data even if the environmental information may differ in part due to special conditions such as the location. For this reason, it is sufficient for the user to modify a part of the acquired environment information as a model, and the efficiency of the input work is significantly improved as compared with the case where all the environment information is manually input. The user can set data in the simulation unit 10 by pressing the OK button 86 after correcting the data.

  Further, as compared with the case where a numerical value is written in the parameter value output field 90, there is an advantage that correction of a numerical value already displayed reduces input errors. In general, since the order of numerical values to be input is different for each field, when inputting new data after deleting existing data, it is easy to notice an input error if the order is too shifted. For example, it is unlikely that a numerical value of 20 will be input in a field in which a numerical value of 0.7 is written, so that the user can notice an input mistake at that time. On the other hand, when a numerical value is written in a blank field, since there is no index for recognizing an input error, the probability of occurrence of an input error is high, and thus the reliability of the simulation is lowered. For this reason as well, it is effective to display the acquired data in the search GUI unit 20 in a modifiable manner.

  By using this database technology, the burden of prior investigation work and input work regarding the parameter value for simulation is reduced. Therefore, it is possible to efficiently perform simulation work when the number of stores is increased and simulation work when stores are changed. This database technology has an advantage in that parameters can be efficiently determined with information of a small number of key items based on the concept that parameter sets are grouped to some extent by store name, form classification, and store size. The above shows the case where the simulation according to the present embodiment is applied to a store. However, the parameter set can be grouped to some extent even for facilities that are chain-expanded, so the same simulation is realized. It is possible.

  In the above, this invention was demonstrated based on the Example. The present invention is not limited to this embodiment, and various modifications thereof are also effective as an embodiment of the present invention.

  For example, in the embodiment, the refrigeration equipment that absorbs the load heat amount in the store / facility is taken as an example, but the simulation technique according to the present invention is similarly used even when there is equipment that emits heat. Can do. For example, there is a device for warming drink cans at convenience stores, which is controlled by power to keep the drink can at a constant temperature, although there is a difference between heat release and absorption, Other than the above can be modeled in the same manner as the cooling equipment. Therefore, according to the present invention, it is possible to perform a simulation on the amount of heat of load and the amount of power consumption even when there are not only electrical devices that absorb heat but also electrical devices that dissipate heat in stores and facilities.

It is a functional block diagram of the simulation system concerning an example. It is a conceptual diagram for showing calorie | heat amount movement in a store or a facility. It is a block diagram centering on the structure which performs the calculation function of a simulation part. It is structural drawing of the cooling equipment which consists of a refrigerator and a showcase. It is a figure which shows the evaluation flow of the power consumption in a predetermined period. It is a figure which shows the example of a structure of a database. It is a figure which shows an example of a shop / facility environment information table. It is a figure which shows an example of a shop / facility environment information table. It is a figure which shows the set table of an air conditioner. It is a figure which shows the set table of a showcase. It is a figure of the screen displayed on a monitor in a search GUI part.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Simulation system, 2 ... Simulation apparatus, 3 ... DB server, 10 ... Simulation part, 12 ... Communication part, 14 ... Registration part, 16 ... Store / facility information Storage unit, 20 ... Search GUI unit, 30 ... Management unit, 32 ... Communication unit, 34 ... Store / facility information DB unit, 50 ... Calorie calculation unit, 52 ... Store calorie Calculation part, 54 ... refrigeration equipment heat quantity calculation part, 56 ... air conditioning equipment heat quantity calculation part, 58 ... power consumption calculation part, 60 ... evaluation part.

Claims (9)

A first calorific value calculation unit for calculating an intrusion load calorific value into a space where an air conditioner and an electric device that absorbs or releases heat are present;
A second calorific value calculation unit for calculating the amount of heat applied to the electric device;
A third calorific value calculation unit for calculating the amount of heat applied to the air conditioner based on the calculation result by the first calorific value calculation unit and the calculation result by the second calorific value calculation unit;
A simulation apparatus comprising:   The simulation apparatus according to claim 1, further comprising a power calculation unit that calculates power consumption of the air conditioner and the electric device based on the calculation results of the second heat quantity calculation unit and the third heat quantity calculation unit.   The simulation apparatus according to claim 1, further comprising an evaluation unit that evaluates power consumption over a predetermined period.   The simulation apparatus according to claim 3, wherein the evaluation unit evaluates power consumption over a predetermined period for each set value of the air conditioner and the electric device at each time. A storage unit that stores information related to a store or facility by the number of items that is greater than the number of items of the search key in association with a predetermined number of search keys;
A reception unit for receiving a predetermined number of search keys;
A search unit that searches for information related to the store or facility associated with the received search key, and reads only the number of items greater than the number of items of the search key;
A database apparatus comprising: A simulation system comprising a simulation device and a database device,
The simulation apparatus includes:
A first calorific value calculation unit for calculating an intrusion load calorific value into a space where an air conditioner and an electric device that absorbs or releases heat are present;
A second calorific value calculation unit for calculating the amount of heat applied to the electric device;
A third calorific value calculation unit for calculating the amount of heat applied to the air conditioner;
A power calculator that calculates the power consumption of the air conditioner and the electrical equipment based on the calculation results of the second calorie calculator and the third calorie calculator;
The database device includes:
A storage unit that stores information related to the space in a number greater than the number of items of the search key in association with a predetermined number of search keys;
A receiving unit for receiving a search key from the simulation device;
Searching for information about the space associated with the accepted search key, reading only the number of items greater than the number of items of the search key, and providing the simulation device;
A simulation system comprising: The simulation apparatus includes a user interface unit for receiving input of a search key to be transmitted to the database apparatus and displaying information provided from the database apparatus,
The simulation system according to claim 6, wherein the user interface unit presents the acquired information to the user in a modifiable manner. Calculating an intrusion load heat amount into a space where an air conditioner and an electric device that absorbs or releases heat are present; and
Calculating the amount of heat applied to the electrical equipment;
Calculating the load heat applied to the air conditioner based on the calculated load heat input into the space and the load heat applied to the electrical equipment;
A method for simulating a load calorie, comprising: On the computer,
A function to calculate the amount of intrusion load heat into the space where there is an air conditioner and an electrical device that absorbs or releases heat,
A function to calculate the amount of heat applied to electrical equipment;
A function for calculating the heat load applied to the air conditioner based on the calculated heat load entering the space and the heat load applied to the electrical equipment,
A program to realize

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