KR102090281B1 - Cooling energy performance evaluation system in data center building and method of the same - Google Patents

Abstract

The present invention plans a cooling system and cooling facilities in accordance with features of a data center building in which IT equipment is installed and evaluates annual cooling energy performance to enable a design of the cooling system optimized for the IT equipment. Moreover, the cooling system is planned by considering a heating load of the IT equipment such as a server and the like to increase accuracy of energy performance evaluation. In addition, a planning unit, a performance review unit, and an optimum plan determination unit are included to derive an optimum plan by reviewing not only a design capacity of the cooling facilities, but also design performance and energy performance of the cooling system.

Description

Cooling energy performance evaluation system in data center building and method of the same}

The present invention relates to a cooling energy performance evaluation system and method of a data center building, and more specifically, to evaluate the cooling energy performance and cost in consideration of the heat load of IT equipment, to determine the optimal energy of the data center building. It relates to a performance evaluation system and method.

In general, energy simulation of a building means creating an energy model using a computer-based energy analysis program to evaluate the energy performance of the building.

However, since the energy simulation of the conventional building is limited to a general building, there is a limit in evaluating the cooling system of the data center where heat generation from IT equipment accounts for more than 90% of the cooling load.

When evaluating the energy use efficiency of an existing data center, it is evaluated using the power usage effectiveness (PUE), which represents the ratio of the data center's total power used to IT-related equipment. There is a problem that cannot be evaluated.

Korea Patent Publication No. 10-1113335

An object of the present invention is to provide a cooling energy performance evaluation system and method of a data center building capable of deriving an optimal solution that can exhibit optimal cooling performance in consideration of heat load of IT equipment.

The cooling energy performance evaluation system of a data center building according to the present invention includes a planning unit for planning a design plan of a cooling system of a data center building in which IT equipment including servers, storage and communication equipment is installed; A performance review unit that evaluates energy performance by calculating energy for a design plan planned by the planning unit; When there are a plurality of design plans planned by the planning unit, including an optimal plan determining unit for determining an optimal plan in consideration of energy performance and cost for the plurality of design plans, and the plan unit is configured to plan a design plan of the cooling system The design variable input unit for inputting required design variables, the maximum load calculation unit for calculating the maximum cooling load and the maximum ventilation load according to the information input from the design variable input unit, and the necessary values according to the values calculated by the maximum load calculation unit An air conditioning system planning unit for setting up an air conditioning system, planning a design plan of air conditioning equipment included in the air conditioning system, and calculating capacity, design air volume or design flow rate, design static pressure or design lift and design power of the air conditioning equipment, and the air conditioning Use the design power calculated by the system planning department and the power required of the IT equipment The design includes an open design performance index calculation to calculate the performance indicators.

In addition, a method for evaluating cooling energy performance of a data center building according to another aspect of the present invention includes: a planning step of planning a design plan of a cooling system of a data center building in which IT equipment including servers, storage and communication equipment is installed; An energy performance evaluation step of evaluating energy performance by calculating energy for a design plan planned by the planning unit or a performance review unit; When there are a plurality of design plans planned by the planning unit, the optimum plan determination unit or the operator considering the energy performance and cost of the plurality of design plans, and the optimal plan determining step of determining the optimal plan, and A process of inputting design variables necessary for planning a design plan of the cooling system through a design variable input unit, and a process of calculating a maximum cooling load and a maximum ventilation load according to the information input from the design variable input unit by the maximum load calculation unit And, the cooling system planning unit sets the necessary cooling system according to the value calculated by the maximum load calculation unit, plans the type of cooling equipment included in the cooling system and the design scheme, the capacity of the cooling equipment, the design air volume, or The process of calculating design flow, design static pressure or design lift, and design power, and design The capability index calculation unit includes a process of calculating a design performance index using the design power calculated by the cooling system planning unit and the required power of the IT equipment, and the energy performance evaluation step comprises: weather data through the additional information input unit; The process of receiving the operation schedule of the IT facilities and the performance coefficients of the cooling facilities, and the energy calculation unit uses the values input from the additional information input unit and the design power calculated by the cooling system planning unit to calculate energy for each cooling facility. Calculating, calculating the IT energy of the IT equipment using the operation schedule of the IT equipment and the required power of the IT equipment, and the energy performance index calculation unit calculating the energy for each cooling facility calculated by the energy calculation unit and the Including the process of calculating annual cooling energy performance indicators using IT energy .

According to the present invention, it is possible to design an air conditioning system optimized for IT equipment by planning and cooling systems and evaluating energy performance according to characteristics of a data center building in which IT equipment is installed.

In addition, since the cooling system is planned in consideration of the heat load of IT equipment such as a server, the accuracy of energy performance evaluation can be improved.

In addition, by including a planning unit, a performance review unit, and an optimum plan determination unit, it is possible to derive the optimum plan by reviewing not only the design capacity of the cooling facilities but also the design performance and energy performance of the cooling system.

In addition, by outputting a design performance index and an annual cooling energy performance index, it is possible to more easily recognize the performance of the cooling system of the data center building.

1 is a block diagram schematically showing the configuration of a cooling energy performance evaluation system of a data center building according to an embodiment of the present invention.
2 is a flowchart schematically illustrating a method for evaluating cooling energy performance of a data center building according to an embodiment of the present invention.
3 is a diagram schematically showing an input / output flow diagram of a design variable input unit and a maximum load calculation unit in the planning unit illustrated in FIG. 1.
FIG. 4 is a diagram schematically showing an input / output flowchart of a cooling system planning unit and a design performance index calculating unit in the planning unit illustrated in FIG. 1.
5 is a diagram schematically showing an input / output flowchart of the performance review unit shown in FIG. 1.
6 is a view schematically showing an input / output flowchart of an energy performance index calculation unit in the performance review unit illustrated in FIG. 1.
7 to 9 show an example of a window for receiving a design variable in the design variable input unit according to an embodiment of the present invention.
10 to 17 show an example of a window for designing cooling systems and cooling facilities in the cooling system planning unit according to an embodiment of the present invention.
18 shows an example of a window for deriving a cooling load in a cooling energy performance evaluation system of a data center building according to an embodiment of the present invention.
19 shows an example of a window for deriving the capacity, the design air volume or the design flow rate, the design static pressure or the design lift, and the power of the cooling facilities in the cooling system planning unit according to the embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

1 is a block diagram schematically showing the configuration of a cooling energy performance evaluation system of a data center building according to an embodiment of the present invention.

Referring to FIG. 1, the cooling energy performance evaluation system of a data center building according to an embodiment of the present invention includes a planning unit 100, a performance review unit 200, and an optimal plan determining unit 300.

The data center building is a building in which IT equipment, including servers, storage and communication equipment, is installed. The data center building includes a plurality of server rooms in which the IT equipments are respectively installed, and an electric room in which a power supply and a battery are installed to operate the IT equipments or to operate cooling facilities. In the present embodiment, the data center building will be described, for example, by dividing and managing the server rooms and the electrical rooms into different zones.

The planning unit 100 plans a design plan of cooling facilities installed inside the data center building.

The planning unit 100 includes a design variable input unit 110, a maximum load calculation unit 120, a cooling system planning unit 130, and a design performance index calculation unit 140. Here, the design variable input unit 110, the maximum load calculation unit 120, the cooling system planning unit 130, and the design performance index calculation unit 140 are described as, for example, computers, but some are performed by workers. Of course it is possible.

3 is a diagram schematically showing an input / output flow diagram of a design variable input unit and a maximum load calculation unit in the planning unit illustrated in FIG. 1.

The design variable input unit 110 is an input window for inputting design variables necessary for planning a design plan of cooling facilities installed in the data center building.

The design parameters include the zone area, the number of racks in which the IT equipment is installed, the maximum amount of heat generated by the IT equipment, the amount of heat generated per unit area, other loads, the number of ventilation, the zone volume, the design outside conditions, the design betting conditions, and the electrical installation installed in the electric room. Includes their capacity, power factor, and efficiency.

Here, the design bet conditions refer to indoor environment conditions.

The design variables are input by an operator through the design variable input unit 110.

The heat generation amount of the IT equipment may input one of the maximum heat generation amount per unit area in the zone or the maximum heat generation amount per unit rack in the zone. The heat generation amount of the IT equipment is used to calculate the maximum cooling load of the server room.

The quantity of the rack and the amount of heat generated by the IT equipment may be provided by the ordering company, and an operator may directly input data provided from the ordering company.

The number of times of ventilation is the number of times of ventilation in the server room, and an operator can directly input or select one of items displayed on the screen. Items displayed on the screen may include 1.0 times / h, 1.5 times / h, 2.0 times / h, and the like. The number of ventilations is used to calculate the maximum ventilation load of the server room.

The design outside air conditions are the temperature and humidity of the outside air. The design bet conditions are the temperature and humidity of the bet. The external design conditions are temperature and humidity at the time when the maximum cooling load is applied.

The capacity, power factor, and efficiency of the electrical facilities can be provided by the ordering company, and an operator can directly input data provided from the ordering company. The capacity, power factor and efficiency of the electrical installations are used to calculate the maximum cooling load of the electrical room.

The maximum load calculator 120 calculates a maximum cooling load and a maximum ventilation load according to information input from the design variable input unit 110.

Referring to FIG. 3, the maximum load calculation unit 120 calculates a maximum cooling load required in the server room in consideration of the maximum heat generation amount of the IT equipment input from the design variable input unit 110.

In addition, the maximum load calculation unit 120 calculates the maximum ventilation load of the server room in consideration of the number of ventilations input from the design variable input unit 110, the design external air condition, and the design bet condition.

In addition, the maximum load calculation unit 120 calculates the maximum cooling load of the electric room using the capacity of the electrical facilities input from the design variable input unit 110. In this embodiment, the maximum ventilation load of the electrical room is not calculated under the condition that there are no occupants in the electrical room, but the present invention is not limited thereto, and if the electrical room also has occupants, the ventilation load of the electrical room may also be calculated.

FIG. 4 is a diagram schematically showing an input / output flowchart of a cooling system planning unit and a design performance index calculating unit in the planning unit illustrated in FIG. 1.

Referring to FIG. 4, the cooling system planning unit 130 plans a design plan of a suitable cooling system according to the cooling load or the ventilation load calculated by the maximum load calculation unit 120.
That is, the cooling system planning unit 130 calculates the capacity, design air volume, design flow rate, design static pressure, design lift and design power of the selected cooling facilities, and selects the cooling facilities and the cooling system from the operator. It is set as a design plan of a suitable cooling system according to the cooling load or the ventilation load calculated by the maximum load calculation unit 120.

4 and 19, the cooling system planning unit 130 derives the capacity, design air flow (or flow rate), design static pressure (or lift), and design power of each cooling facility.

Here, the air volume and static pressure of the CRAH (Computer Room Air Handler) fan, the capacity and flow rate of the CRAH coil, the power of the CRAH fan, the flow rate of the cold water pump, the lift and power, the flow rate of the cooling water pump, the lift and power, and the capacity and power of the refrigerator For example, it will be described as calculating and outputting data such as the capacity of the cooling tower, the fan volume of the cooling tower, and the design power.

The design performance index calculation unit 140, referring to FIG. 4, uses a design power of the cooling facilities calculated by the cooling system planning unit 130 and power of the IT equipments to design performance index (Design MLC) (Mechanical Load Component)).

The design performance index is for design. The design performance index calculation unit 140 calculates according to Equation 1 stored in advance.

Here, MLC _design is the design performance index, P _{d, Chiller, i} is the design power of the refrigerator i, P _{d, CRAH, k, i} is the design power of the CRAH i in charge of zone k, P _{d, CHW, pump, i} is the design power of cold water pump i, P _{d, CW, pump, i} is the design power of cooling water pump i, P _{d, CT, fan, i} is the fan design power of cooling tower i, P _{d, ITE , k} is the power of zone k's IT equipment.

5 is a diagram schematically showing an input / output flowchart of the performance review unit shown in FIG. 1.

5, the performance review unit 200 evaluates energy performance by calculating energy for a design plan planned by the planning unit 100.

That is, the performance review unit 200 is for examining the cooling energy performance of the cooling system designed by the capacity of the cooling facilities set in the planning unit 100.

The performance review unit 200 includes an additional information input unit 210, an energy calculation unit 220, and an energy performance index calculation unit 230.

The additional information input unit 210 inputs weather data, an operation schedule of the IT facilities, and performance coefficients of the cooling facilities or is input from the outside.

The energy calculation unit 220 calculates energy for each cooling facility by using the value input from the additional information input unit 210 and the design power calculated by the cooling system planning unit 130.

Referring to FIG. 5, the energy calculation unit 220 will be described, for example, as calculating CRAH fan energy, cold / coolant pump energy, freezer energy, and cooling tower energy.

6 is a view schematically showing an input / output flowchart of an energy performance index calculation unit in the performance review unit illustrated in FIG. 1.

The energy performance indicator calculation unit 230, referring to FIG. 6, uses the energy for each cooling facility and the IT energy calculated by the energy calculation unit 220, and annual cooling energy performance indicator of the data center building ( Annualized MLC).

The IT energy is calculated using ITE power. The ITE power is the maximum power of the IT equipment input from the planning unit 100, and the ITE power and the IT energy are calculated by reflecting the load schedule of the IT equipment. Since the load schedule of the IT equipment is the ratio of the maximum power of the IT equipment to the actual operating power for each time slot, the ITE power and the IT energy for each time slot are calculated.

The energy performance index calculation unit 230 calculates an annual cooling energy performance index using Equation 2 stored in advance.

Here, MLC _annualized is an annual cooling energy performance index, E _{Chiller, i, t} is energy used during t hours of refrigerator i [Wh], and E _{CRAH, fan, k, i, t} is CRAH i in charge of zone k Is the energy used for t hours, E _{CHW, pump, i, t} is the energy used for t hours of cold water pump i, E _{CW, pump, i, t} is the energy used for t hours of cooling water pump i, E _{CT , fan, i, t} is the energy used for t hour of cooling tower i, E _{ITE, k, t} is the energy used by IT equipment of zone k for t hour.

The optimal plan determining unit 300 determines an optimal plan in consideration of energy performance and cost for the plurality of design plans when the plan design plan includes a plurality of plan designs.

The optimal plan determination unit 300 includes an energy calculation unit 310, a cost calculation unit 320, and a design proposal review unit 330.

The energy calculation unit 310 will be described, for example, as receiving the energy for each cooling facility calculated by the energy calculation unit. However, the present invention is not limited thereto, and it is also possible for the energy calculation unit 310 to directly calculate energy for each cooling facility for the plurality of design proposals.

The cost calculation unit 320 calculates an initial investment cost (Capex, Capital Expenditure) and an operating cost (Opex) of the cooling facility for the plurality of designs.

The design review unit 330 compares the energy for each cooling facility, the initial investment cost of the cooling facility, and the operating cost of the cooling facility for the plurality of design proposals, and has the best energy performance and the lowest cost. Decide on the best plan. The design review unit 330 is, for example, described as being a computer, but it is of course also possible to perform it by an operator.

A method for evaluating cooling energy performance of a data center building according to an embodiment of the present invention configured as described above will be described below.

2 is a flowchart schematically illustrating a method for evaluating cooling energy performance of a data center building according to an embodiment of the present invention.

Referring to Figure 2, the cooling energy performance evaluation method of a data center building according to an embodiment of the present invention, the planning steps (S1 ~ S4), performance evaluation steps (S5 ~ S7) and the optimal decision step (S8 ~ S9) It includes.

First, in the planning steps S1 to S4, a design plan of the cooling system of the data center building is planned.

The planning steps (S1 ~ S4), the process of inputting the design parameters (S1), the process of calculating the maximum cooling load and maximum ventilation load (S2), the process of designing a cooling system and calculating the design power of cooling facilities, etc. (S3), the process of calculating the design performance index (S4).

First, in the process of inputting the design variable (S1), design variables necessary for planning a design plan of the cooling facilities are input through the design variable input unit 110.

When inputting the design variables, each zone may be input in advance.

FIG. 7 shows a window for inputting design external air condition, heat generation amount of IT equipment, and other cooling load factors among design variables in order to calculate the cooling load of the server room.

Referring to FIG. 7, an item per unit rack and an item per unit area may be separately selected and an example of selecting an item per unit rack will be described as an example. In FIG. 7, a case in which there are four zones for air conditioning is described as an example, and the number of racks and the amount of heat generated per unit rack can be input for each of the four zones. The heat value per unit rack may be provided by a company or an ordering company of the IT equipment.

The maximum amount of heat generated per unit rack is used to calculate the maximum cooling load of the server room.

FIG. 8 shows a window for inputting a design outside condition, a design bet condition, a ventilation number, a zone area, and a zone volume among design variables in order to calculate the ventilation load of the server room.

The number of ventilations is used to calculate the maximum ventilation load of the server room.

FIG. 9 shows rated external power conditions, design bet conditions, rated capacity, power factor, efficiency, and other cooling load factors of electrical facilities including a transformer installed in an electric room, a power supply, and a battery among design variables in order to calculate the cooling load of the electric room. Shows a window for entering a light.

The rated capacity, power factor, efficiency, etc. of the electrical installations are used to calculate the maximum cooling load of the electrical room.

Next, in the process of calculating the maximum cooling load and the maximum ventilation load (S2), the maximum load calculation unit 120 may be the maximum cooling load of the server room, the maximum ventilation load of the server room, and the maximum cooling of the electric room. Calculate each load.

Next, in the process of designing the cooling system and calculating the design power of the cooling facilities (S3), the cooling system planning unit 130 sets the cooling system capable of solving the maximum cooling load and the maximum ventilation load. Then, the cooling facilities included in the set cooling system are set, and the design power of the set cooling facilities is calculated.

At this time, only one design or a plurality of design plans for the cooling system capable of solving both the maximum cooling load and the maximum ventilation load may be set.

10 to 17 show an example of a window for designing cooling systems and cooling facilities in the cooling system planning unit according to an embodiment of the present invention.

10 shows an example of a window for inputting air conditioner quantities for each zone.

Referring to FIG. 10, when an operator inputs an air conditioner quantity for each zone, the capacity of each air conditioner and the air conditioning air volume are calculated.

Here, the air conditioner means an air-conditioning facility, and the air-conditioning zone is six, for example.

11 shows an example of a window for setting a heat source system for each zone.

Referring to FIG. 11, an operator may select and input a heat source for each zone.

Here, the heat source is divided into three heat sources 1, 2, and 3 heat sources.

The heat source system may be classified into a DX air cooling type, a DX water cooling type, a cold water type (air cooling type refrigerator), and a cold water type (water cooling type refrigerator). In addition, they are largely divided into DX and cold water. As DX is equipped with a compressor on the air conditioner side, it is a method of supplying cooling directly from the air conditioner, and the cold water type is a method of supplying cooling to the air conditioner through cold water from a refrigerator. In addition, the air-cooled type and the water-cooled type are classified into an air-cooled water-cooled type according to whether heat generated in a compressor (or a refrigerator) is cooled with air or water.

12 to 17 show an example of a window for selecting cooling facilities according to the cooling system.

12 to 17, when a cooling system is set for each zone, it is possible to select and input cooling facilities used in each cooling system.

12 shows an example of setting a CRAH (Computer Room Air Handler) in System 1. 13 shows an example in which a cooling coil is set. 14 is an example of setting a CHW (Chilled Water) loop. 15 shows an example of setting the Chiller. 16 shows an example of setting a CW (Cooling Water) loop. 17 shows an example in which a cooling tower is set.

The CHW loop is a water pipe connecting the air conditioner and the refrigerator, and the CW loop is a cooling water pipe connecting the refrigerator and the cooling tower.

12 to 17, when the cooling facilities are set, the cooling system planning unit 130 calculates and outputs the design capacity of each cooling facility.

19 shows an example of a window for deriving the capacity, design air flow (or flow rate), design static pressure (or lift), and design power of each cooling facility in the cooling system planning unit 130.

That is, referring to FIGS. 4 and 19, the cooling system planning unit 130 derives capacity, capacity, design air flow (or flow rate), design static pressure (or lift), and design power of each cooling facility.

Here, the capacity and static pressure of the CRAH fan, the capacity and flow of the CRAH coil, the power of the CRAH fan, the flow of the cold water pump, the lift and power, the flow of the cooling water pump, the lift and power, the capacity and power of the refrigerator, the capacity and flow of the cooling tower And calculating and outputting data such as design power, for example.

When the data is output from the cooling system planning unit 130 as described above, the design performance index calculation unit 140 calculates the design performance index. (S4)

The design performance index calculation unit 140 calculates a design performance index in consideration of the calculated design power and the required power (IT power) of the IT equipment.

The design performance index may be calculated by Equation 1 above. The design performance index indicates design performance for the cooling system set by the cooling system planning unit 130.

The design performance index is an index that makes it possible to know that the closer to 0, the better the design performance.

If the design performance index is out of the preset range, the planning unit 100 may plan again from the beginning.

Therefore, by outputting the design performance index, it is possible to predict design performance for the design capacity of the cooling systems and cooling facilities set in the planning step.

Thereafter, in the energy performance evaluation steps (S5 to S7), energy performance is evaluated by calculating energy for the design plan planned in the planning step.

The energy performance evaluation step includes a process of receiving additional information (S5), a process of calculating energy (S6), and a process of calculating annual cooling energy performance indicators (S7).

In the process of receiving the additional information (S5), weather data, an operation schedule of the IT equipment, and performance coefficients of the cooling facilities are input through the additional information input unit 210. The weather data, the operation schedule of the IT equipment, and the performance coefficients of the cooling facilities may be directly input by an operator. However, the present invention is not limited thereto, and any variable that can change energy performance of the cooling facilities may be additionally input.

Next, in the process of calculating the energy (S6), energy for each cooling facility and IT energy are calculated.

In the process of calculating the energy (S6), the cooling unit uses the energy calculation unit 220 using the values input from the additional information input unit 210 and the design power calculated by the cooling system planning unit 130. Star energy is calculated, and the IT energy is calculated using the operation schedule of the IT equipment and the required power of the IT equipment.

The energy for each cooling facility is influenced by external air conditions or the operation schedule of the IT equipment. That is, the energy for each cooling facility is a value that changes depending on outdoor conditions or the operation schedule of the IT equipment.

 For example, referring to FIG. 5, the energy for each cooling facility includes CRAH fan energy, cold / coolant pump energy, freezer energy, and cooling tower energy. Among the cooling facilities, equipment affected by outdoor air conditions is a refrigerator and a cooling tower. Refrigerator energy is calculated by taking into account the effects of outdoor conditions through the functions of CAPFT and EIRFT. The energy of the cooling tower is also calculated by considering the influence of the external air condition through the functional formulas of FRA and FWB. On the other hand, among the cooling equipment, equipment affected by the partial load condition corresponding to the operation schedule of the IT equipment is a CRAH fan, a cold / coolant pump, a refrigerator, and a cooling tower. CRAH fan energy is Fan Ratio, cold / coolant pump energy is Pump Ratio, freezer energy is EIRPLR, cooling tower energy is TWR FAN FPLR, and the energy considering the effect of the operating schedule of the IT equipment under partial load is calculated.

Therefore, when calculating the energy for each cooling facility, it is possible to more accurately calculate the energy because external conditions or the operation schedule of the IT equipment can be reflected.

Next, in the process of calculating the annual cooling energy performance index (S7), the annual cooling energy performance index (Annualized MLC) is calculated.

In the process of calculating the annual cooling energy performance indicator (S7), the energy performance indicator calculating unit 230 uses the energy for each cooling facility and the IT energy calculated in the above, and the annual cooling energy performance indicator (Annualized MLC) ). (S7)

The annual cooling energy performance index may be calculated by Equation (2).

By outputting the annual cooling energy performance index, design practitioners designing the cooling system and data center workers can more easily recognize the annual cooling energy performance index, which is objective data, and grasp the energy performance of the cooling system of the data center building. You can.

6 schematically shows how the energy performance indicator calculation unit 230 calculates an annual cooling energy performance indicator.

5 and 6, the annual cooling energy performance index is calculated using IT energy, CRAH fan energy, cooling water pump energy, cooling water pump energy, freezer energy, and cooling tower energy.

When the annual cooling energy performance index is calculated in the performance review step, the design plan of the cooling system planned by the planning unit 100 may be evaluated.

Subsequently, in the optimal plan determination step (S8 to S9), when there are a plurality of design plans planned by the planning unit 100, the optimal plan is set.

The steps of determining the optimal plan (S8 to S9) include a process of calculating the cost of the plurality of design plans (S8) and a process of determining the optimal plan among the plurality of design plans (S9).

In the process of calculating the cost (S8), the cost calculation unit 320 calculates an initial investment cost and an operating cost of each cooling facility for the plurality of design proposals.

In the process of determining the optimum plan (S9), the design review unit 330 compares the energy for each cooling facility with the initial investment cost and the operating cost of the cooling facility for the plurality of design plans, and thus has the most energy performance. The best option is to decide which plan has the best initial and low investment costs for air-conditioning equipment.

On the other hand, if the design plan planned by the planning unit 100 is a single plan, and the annual cooling energy performance index is within a preset range, the design plan of the cooling system planned by the planning unit 100 may be set as an optimal plan.

In addition, if the design plan planned by the planning unit 100 is a single plan, and the annual cooling energy performance indicator is outside a preset range, the planning unit 100 may plan again from the beginning.

Therefore, in the present invention, by designing a cooling system according to the characteristics of a data center building in which IT equipment is installed, and deriving a design performance index and an annual cooling energy performance index during cooling operation, an advantage of designing a cooling system suitable for a data center building is possible. have.

Although the present invention has been described with reference to the embodiments shown in the drawings, these are merely exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

100: planning unit 110: design variable input unit
120: maximum load calculation unit 130: cooling system planning unit
140: design performance index calculation unit 200: performance review unit
210: additional information input unit 220: energy calculation unit
230: energy performance index calculation unit 300: optimal solution determination unit
310: energy calculation unit 320: cost calculation unit
330: design review unit

Claims (9)

A planning unit for planning a design plan of a cooling system of a data center building in which IT equipment including servers, storage and communication equipment is installed;
A performance review unit that evaluates energy performance by calculating energy for a design plan planned by the planning unit;
When there are a plurality of design plans planned by the planning unit, and includes an optimal plan determining unit for determining the optimal plan in consideration of energy performance and cost for the plurality of design plans,
The planning unit,
A design variable input unit for inputting design variables necessary for planning a design plan of the cooling system;
The maximum load calculation unit for calculating the maximum cooling load and maximum ventilation load according to the information input from the design variable input unit,
A heat source system including a DX air-cooled type, a DX water-cooled type, a cold-water type air-cooled type freezer, and a cold-water type water-cooled type freezer for each zone is selected by an operator to set the cooling system for each zone, and the number of air conditioners for each zone is input from the operator, and the Information about cooling facilities including cooling coils, chillers, and cooling towers used in the cooling system is input, and the capacity of the air conditioner, air conditioning air volume, and cooling facilities for each zone are suitable for the maximum cooling load and the maximum ventilation load. A cooling system plan that calculates the capacity, the design air volume or the design flow rate, the design static pressure or the design lift and the design power, and sets the set cooling system and the cooling facilities as a design plan of a cooling system suitable for the value calculated by the maximum load calculation unit Boo,
A cooling energy performance evaluation system of a data center building, comprising a design performance index calculation unit that calculates a design performance index using the design power calculated by the cooling system planning unit and the required power of the IT equipment. The method according to claim 1,
The design variable,
Zone area, the number of racks in which the IT equipment is installed, the amount of heat generated by the IT equipment per rack, the amount of heat generated by the IT equipment per unit area, the amount of heat generated by the unit area, the number of ventilation, the design outside conditions, the design bet conditions, and the rating of the electrical installations installed in the electric room A cooling energy performance evaluation system for data center buildings that includes capacity, power factor, and efficiency. The method according to claim 2,
The maximum load calculation unit,
Calculate the maximum cooling load of the server room where the IT equipment is installed by using the heat value of the IT equipment,
Calculate the maximum ventilation load of the server room using the number of ventilation times,
A cooling energy performance evaluation system of a data center building that calculates the maximum cooling load of the electrical room using the rated capacity, power factor, and efficiency of the electrical installations. The method according to claim 1,
The data center building is divided into a plurality of server rooms in which the IT equipments are installed, and an electric room in which transformers, power supplies, and batteries are installed, into respective zones,
The maximum load calculation unit, the cooling energy performance evaluation system of the data center building to calculate the maximum cooling load of the server room, the maximum ventilation load of the server room and the maximum cooling load of the electric room, respectively. The method according to claim 1,
The performance review unit,
And additional information input unit for inputting the weather data, the operation schedule of the IT equipment and the performance coefficient of the cooling equipment,
An energy calculation unit that calculates energy for each cooling facility and calculates IT energy of the IT equipment by using the value input from the additional information input unit and the design power calculated by the cooling system planning unit;
A cooling energy performance evaluation system of a data center building including an energy performance index calculation unit that calculates an annual cooling energy performance index using the energy for each cooling facility calculated by the energy calculation unit and the IT energy. The method according to claim 5,
The energy for each cooling facility,
A cooling energy performance evaluation system in a data center building that is calculated differently according to the outside conditions or the operation schedule of the IT equipment. The method according to claim 5,
The energy calculation unit,
The cooling energy performance evaluation system of a data center building that calculates the IT energy using the operation schedule of the IT equipment and the power required of the IT equipment. The method according to claim 5,
The optimal solution determining unit,
And a cost calculation unit for calculating the initial investment and operating costs of the cooling equipment for the plurality of designs,
An energy calculation unit that receives energy for each cooling facility calculated by the energy calculation unit for the plurality of design proposals;
Cooling energy performance of a data center building including a design review unit that compares the energy for each cooling facility with the initial investment cost and the operating cost of the cooling facility calculated by the cost calculation unit for the plurality of design proposals Evaluation system. A planning stage in which the planning unit plans a design plan of a cooling system of a data center building in which IT equipment including servers, storage and communication equipment is installed;
An energy performance evaluation step of evaluating energy performance by calculating energy for a design plan planned by the planning unit by the performance review unit;
When there are multiple designs proposed by the planning unit, the optimal plan determining unit Considering the energy performance and cost for the plurality of design proposals, and comprising an optimal decision step of determining an optimal plan,
The planning step,
A process of inputting design variables necessary for planning a design plan of the cooling system through a design variable input unit;
The maximum load calculation unit calculates the maximum cooling load and maximum ventilation load according to the information input from the design variable input unit,
The cooling system planning department is selected from heat source systems including DX air-cooled, DX water-cooled, cold-water-cooled freezers and cold-water-cooled freezers for each zone from the operator, sets the cooling system for each zone, and sets the number of air conditioners for each zone from the worker. Input, receiving information about cooling facilities including cooling coils, chillers, and cooling towers used in the cooling system, receiving the capacity of the air conditioner and the air volume of each air conditioner for each zone to be suitable for the maximum cooling load and the maximum ventilation load, Calculate the capacity, design air volume or design flow rate, design static pressure or design lift and design power of the cooling facilities, and set the set cooling system and the cooling facilities as a design plan of a cooling system suitable for the value calculated by the maximum load calculation unit And the process
The design performance index calculation unit includes a process of calculating the design performance index using the design power calculated by the cooling system planning unit and the required power of the IT equipment,
The energy performance evaluation step,
The process of receiving weather data, the operation schedule of the IT facilities and the performance coefficients of the cooling facilities through the additional information input unit,
The energy calculation unit calculates the energy for each cooling facility by using the value input from the additional information input unit and the design power calculated by the cooling system planning unit, and uses the operation schedule of the IT equipment and the required power of the IT equipment. The process of calculating the IT energy of the IT equipment,
A method for evaluating cooling energy performance of a data center building, comprising an energy performance index calculating unit calculating an annual cooling energy performance indicator using the energy for each cooling facility and the IT energy calculated by the energy calculating unit.

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