US20180052063A1 - Method and system for managing cooling distribution - Google Patents
Method and system for managing cooling distribution Download PDFInfo
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- US20180052063A1 US20180052063A1 US15/594,155 US201715594155A US2018052063A1 US 20180052063 A1 US20180052063 A1 US 20180052063A1 US 201715594155 A US201715594155 A US 201715594155A US 2018052063 A1 US2018052063 A1 US 2018052063A1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/02—Thermometers specially adapted for specific purposes for measuring temperature of moving fluids or granular materials capable of flow
- G01K13/028—Thermometers specially adapted for specific purposes for measuring temperature of moving fluids or granular materials capable of flow for use in total air temperature [TAT] probes
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
- H05K7/20836—Thermal management, e.g. server temperature control
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/02—Thermometers specially adapted for specific purposes for measuring temperature of moving fluids or granular materials capable of flow
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/02—Thermometers specially adapted for specific purposes for measuring temperature of moving fluids or granular materials capable of flow
- G01K13/024—Thermometers specially adapted for specific purposes for measuring temperature of moving fluids or granular materials capable of flow of moving gases
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/1927—Control of temperature characterised by the use of electric means using a plurality of sensors
- G05D23/193—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces
- G05D23/1931—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces to control the temperature of one space
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
- H05K7/20718—Forced ventilation of a gaseous coolant
- H05K7/20736—Forced ventilation of a gaseous coolant within cabinets for removing heat from server blades
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
- H05K7/20718—Forced ventilation of a gaseous coolant
- H05K7/20745—Forced ventilation of a gaseous coolant within rooms for removing heat from cabinets, e.g. by air conditioning device
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- G01K2013/024—
Definitions
- CRAC units pump cool air through perforated floor tiles between the racks, the computers and racks intake the cool air and exhaust hot air into the opposing, hot aisle.
- Computer room air conditioning units on the floor then pull in the hot air exhausted into the hot aisles, and release it underneath the floor tiles, completing the cycle. In this way, a series of CRAC units can keep cool air running through the system and help keep a steady airflow through the environment.
- technicians may turn the area above racks into a hot air plenum by placing ducts and more CRAC units in this space.
- hot air escapes into the plenum to be pushed back into the system, below the floor, where it can be cooled and released back into the computer room.
- Other techniques and technologies for cooling data centers are also a variety of other techniques and technologies. However, in each case careful monitoring and control are required to be effective, and current methods of monitoring and control are obsolete, inefficient and ineffective for several reasons.
- the only way to measure heat load and cooling consumption is to monitor the metered power consumption.
- Typical data center computers are mounted in a rack or cabinet. Generally, the rack orientates the equipment in a front to rear position. Data center operational best practices promotes the inflow of cooling into the front of the equipment/racks and the exhaust air out of the rear. As a result, mass air flow detection of heat load does not exist in the data center operation methodology. Consequently, there is no effective method for measuring the mass air flow and enthalpy change of data center load.
- Various embodiments of the present invention include an array of sensor modules and a controller module with display, user interface and I/O for third party connectivity.
- Four airflow components are measured: temperature, pressure, water content, and quantity of airflow.
- the combination of the four components is referred to as mass air flow (MAF).
- MAF mass air flow
- This system measures the MAF as it enters and exits the CRAC. The system then compares the two measurements to determine the amount of energy, or enthalpy, put into or taken out of the air. The enthalpy measurement is converted to and displayed as the watt metric.
- embodiments of the present invention can provide a “watts of cooling for watts of power consumption” efficiency metric for cooling infrastructure.
- FIG. 1 is a depiction of one embodiment of a mass air flow sensor module used in array
- FIG. 2 is a graphic representation of the deployment and use of one embodiment of the cooling enthalpy gauge of the present invention.
- FIG. 3 is a graphic representation of the implementation of one embodiment of a flow hood of the present invention.
- This invention relates to the measuring and monitoring of cooling and heat load in a computer data center or equipment room.
- the accurate measurement of cooling production, distribution, and usage can identify inefficient implementation of cooling systems.
- the configuration and use of the presently preferred embodiments are discussed in detail below. It should be appreciated, however, that the present invention provides many applicable inventive concepts that can be embodied in a wide variety of contexts other than managing and controlling cooling distribution. Accordingly, the specific embodiments discussed are merely illustrative of specific ways to make and use the invention, and do not limit the scope of the invention. In addition, the following terms shall have the associated meaning when used herein:
- BMS means any building management system used to gather data from and control building related systems and components such as power, cooling and ventilation, lights, physical access, cameras and other security systems like fire/smoke detectors, rodent controls etc., but typically excluding managing or controlling the IT environment;
- CRAC means a computer room air conditioning device installed in data center that uses a self-contained refrigeration cycle to remove heat from the room and send it away from the data center through a cooling medium;
- CRAW means a computer room air handling device installed in the data center that uses circulating chilled water to remove heat
- DCIM means any data center infrastructure management system that has the capability to manage both the IT and facilities domains through a single controller
- enthalpy means the total quantity of energy used to heat or cool a substance between two temperatures
- IT means information technology
- “mass air flow” means temperature, pressure, water content and quantity of air from computer room air conditioners, air handlers, distribution vents or IT equipment fans.
- FIG. 1 depicts one embodiment of a mass air flow sensor module 100 used in an array of the present invention.
- the module 100 is comprised of one or more communications ports 101 .
- the port 101 may be male or female, but female connectors are much more common.
- Computer ports in common use cover a wide variety of shapes such as round (PS/2, etc.), rectangular (FireWire, etc.), square (telephone plug), trapezoidal, etc.
- the module 100 is also equipped with a mass air flow sensor 102 in which the air traverses through the sensor in the direction depicted 103 .
- the mass air flow sensor 102 does not measure the volume of the air passing through the tube, it measures the mass of air flowing through the sensor 102 per unit time. In other words, the mass air flow sensor is simply an application of a mass flow meter for a special medium, air.
- Embodiments of the sensor 100 are also configured with a combination of one or more of a temperature sensor, relative humidity sensor, and barometric sensor or other sensors known in the art.
- a CRAC unit 201 is configured with a return air duct 202 .
- Warm air in the return air stream 203 enters the return air duct 202 and passes through the CRAC unit 201 .
- Cool air in the supply air stream 204 then exits the CRAC unit 201 .
- the CRAC unit 201 is configured with one embodiment of the cooling enthalpy gauge controller 205 of the present invention.
- the controller 205 is configured to accept the input of ten mass air flow sensors and four temperature sensors. In that case, the controller 205 would be required to receive a 0-5 volt signal for each of the ten mass air flow sensors. Two of the temperature sensor inputs would be dedicated for return temperature and the remaining two temperature sensor inputs would be dedicated for the supply temperature.
- the temperature sensors and their electrical requirements could be any that are known in the art.
- the cooling enthalpy gauge controller 205 is communicatively connected to a plurality of mass air flow sensors 206 , such as those previously described, creating a MAF sensor array in return air stream 203 .
- the CRAC unit 201 is configured with a plurality of mass air flow sensors 207 , such as those previously described, creating a MAF sensor array in the supply air stream.
- Each of the mass air flow sensors 207 in the supply air stream 204 is also communicatively connected to the cooling enthalpy gauge controller 205 .
- the signal from the MAF sensors 206 in the return air stream 203 will be averaged together to create a single return signal.
- the signal from the MAF sensors 207 in the supply air stream 204 will be averaged together to create a single supply signal. In either case, if a MAF sensor is not in communication with the cooling enthalpy gauge controller 205 , the absence of the signal is not counted in the averaged reading.
- Embodiments of the present invention use an array of mass air flow, temperature, humidity, and barometric sensors to read the air quantity and quality as it enters a CRAC unit and then compares those readings to the supply side sensors to calculate the change in enthalpy. More specifically, the controller 205 will compare the return signal to the supply signal from the MAF sensors to the temperature differential ( ⁇ T) of the supply air stream 204 and return air stream 203 of the CRAC unit 201 . The user may specify the desired exhaust temperature. The controller 205 also allows the end user to configure the sampling area, such as square inch. The user may also designate whether the area to be sampled is round, square or rectangular. For round sampling areas, the end user will enter in the diameter of the sampling area in inches and the controller 205 will determine the sampling area by using the formula R 2 X ⁇ . For square or rectangle sampling areas, the end user will enter in the width and length.
- the controller 205 will use the information input by the user to scale the output of the MAF sensors to lbs/min. The controller will then convert the lbs/min output to watts cooling capacity by the following formula:
- Enthalpy must be calculated for return and supply air temperatures.
- the change in enthalpy, or ⁇ H, is determined by subtracting supply enthalpy from return enthalpy.
- the MAF sensor will read the airflow in a pulsating/oscillating manner.
- the MAF signal must be smoothed. Signal smoothing is achieved by averaging the oscillating signal over a user settable time period. In some embodiments, default time period may be 0.5 seconds. In any event, the signal from each MAF sensor must be smooth over a short user scalable period prior to averaging signals.
- the controller 205 will also be configured with a display from which the user can input the settings and receive the results. This may be accomplished through a series of buttons (physical or I/O screen based) for end users to interact with the controller. Controller 205 may also include an internal web based client for remote configuration and access for monitoring. In some embodiments, the controller 205 may communicate using SNMP and Modbus IP protocols and use RJ45 and/or wireless connectors.
- the controller 205 can display cooling production from a CRAC unit, in real time, and displayed in watts.
- the “watts” metric is used to simplify monitoring process by using consist units for cooling production, distribution and IT heat load (e.g. cabinet power strip).
- FIG. 3 depicts a computer room equipped with one embodiment of the cooling enthalpy gauge of the present invention.
- a plurality of mass air flow sensors 100 are positioned and a flow hood 301 which is positioned over a perforated floor tile or vent 303 .
- Air 304 passes through the flow hood 301 for monitoring.
- the controller 201 can be operated in different modes. For example, it can monitor and control CRAC unit cooling production in which it outputs the watts of cooling production. Alternatively, it can monitor and control cooling distribution, in which case, the user enters in a desired cabinet 305 exhaust air temperature into the controller 205 (example 85° F.).
- the CEG hood 302 is placed over a perforated floor tile or vent 303 .
- the controller 205 will calculate watts of cooling distributed through the perforated floor tile or vent 303 .
- the embodiments of the present invention can display a “cooling kW to kW power consumed” which is akin to a “miles per gallon” metric.
- Embodiments of the present invention can also identify inefficient cooling distribution by comparing % of water valve or compressor utilization, to the CRAC unit's rated capacity, and to the system's measured capacity.
- embodiments can identify redundant cooling distribution issues by comparing cooling distribution readings between redundant cooling production scenarios (e.g., lead/lag configurations).
- Embodiments can also equip facilities managers with actionable information such as the most efficient means to cool the data center. For example, information can be provided to assist in determining whether is it better to turn off a CRAC unit, raise the temperature set point, or reduce variable fan speeds.
- various embodiments can help identify CRAC unit installation and operation issues such as subfloor blockages, slipping belts, restrictive filters, short cycling, excessive humidification/dehumidification, over or under utilization and inappropriate temperature set point.
- various embodiments of the present invention provide an exact measurement of cooling production (enthalpy) which is compared to the compressor or chill water valve settings, fan speed, and CRAC unit rated capacity.
- the present invention can determine the cause of CRAC inefficiency. For example, a 105 kW rated CRAC unit is only provided 75 kW of cooling and is operating at 100% capacity.
- the return temperature is 69° F. and the supply temperature is 58° F.
- the cooling set point is 69° F.
- Embodiments of the present invention can determine that the CRAC unit is operating at 71% effectiveness and the causes of a low effectiveness rating are a low return air temperature and low temperature set point.
- various embodiments of the present invention provide an array of mass air flow sensors in a flow hood positioned over the vent or perforated floor tile.
- a user enters the desired equipment exhaust temperature and the system of the present invention calculates the watts of cooling required based on the mass air flow distributed to that location compared to the desired enthalpy.
- various embodiments of the present invention allow an array of sensors to be located in a flow hood at the front of the equipment or equipment rack and another array of sensors will be placed in a hood at the exhaust side of the equipment or equipment rack.
- the system of the present invention measures the mass air flow at the inlet and compares it to the exhaust enthalpy change. The measured results are displayed in watts.
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Abstract
Description
- This non-provisional application claims priority based upon prior U.S. Provisional Patent Application Ser. No. 62/376,518 filed Aug. 18, 2016 in the name of Anthony Gennello entitled “METHOD AND SYSTEM FOR MANAGING COOLING DISTRIBUTION,” the disclosure of which is incorporated herein in its entirety by reference as if fully set forth herein.
- Historically, cooling a data center was a straight-forward matter. Data centers used to generate less power and, consequently, less heat per square foot than modern counterparts. As a result, a technician could simply offset the heat from the equipment by adding additional computer room air conditioning (CRAC) units inside the data center, and there was little need to develop or implement a complex system for monitoring and controlling data room cooling. However, the increase in computer room power consumption, density, and heat generation now requires a more scientific approach to monitoring and controlling computer room data center than ever before.
- Because of the density of equipment in most data rooms, technicians have implemented a variety of techniques to improve cooling. For example, in many instances, data equipment is placed on raised floors, two tiles apart, with their air intakes facing each other to achieve the air circulation necessary to keep the computer room cool. In this configuration, CRAC units pump cool air through perforated floor tiles between the racks, the computers and racks intake the cool air and exhaust hot air into the opposing, hot aisle. Computer room air conditioning units on the floor then pull in the hot air exhausted into the hot aisles, and release it underneath the floor tiles, completing the cycle. In this way, a series of CRAC units can keep cool air running through the system and help keep a steady airflow through the environment.
- Alternatively, technicians may turn the area above racks into a hot air plenum by placing ducts and more CRAC units in this space. In this case, hot air escapes into the plenum to be pushed back into the system, below the floor, where it can be cooled and released back into the computer room. There are also a variety of other techniques and technologies for cooling data centers. However, in each case careful monitoring and control are required to be effective, and current methods of monitoring and control are obsolete, inefficient and ineffective for several reasons.
- First, most current methods of cooling capacity measurement consist of the use of a balometer capture hood with pitot and temperature, humidity, and pressure sensors. Multiple readings are taken with the single device at multiple locations within the sampling area. The readings are then used to manually calculate the cooling measurements. This method is labor intensive, evasive, time consuming, and often inaccurate since, for example, the person taking the measurements may block or divert airflow and affect the results. Also, because of the time involved to take multiple measurements and calculate the results, meaningful information is not available in real time. CRAC manufactures may also attempt to calculate cooling parameters using temperature, humidity, and fan speed. However, this method also suffers from the inability to provide real time data.
- Second, current methods of determining effective CRAC unit utilization can be very imprecise. The common methodology is to compare temperature change through the CRAC unit and compare it to the amount of compressor or chill water valve and fan speed. This method does not take into account all of the components required to measure heat capacity—temperature, pressure, water content, and quantity of airflow—and, therefore, cannot fully provide meaningful information about cooling capacity.
- In addition, there is currently no efficient method of measuring mass air flow cooling distribution at vents or perforated raised floor tiles used in data rooms. The closest methodology only measures velocity and/or volume of air by using a pinwheel or hot wire anemometer, or a flow hood balometer. The anemometer displays only velocity of air (feet per minute) requiring several sample readings to be taken, and then airflow must be calculated (cubic feet per minute) using the average readings to the sampling area. The flow hood balometer uses a pitot array to measure pressure differentiation and temperature in a specified sampling area to provide a volume of airflow. As will be appreciated by those skilled in the art, neither of these methods account for the four components of mass air flow and are, therefore, ineffective means of measurement. The metrics used (velocity and airflow volume) are not consistent with the requirements for measuring cooling capacity metric (tons or watts) or heat load.
- The only way to measure heat load and cooling consumption is to monitor the metered power consumption. Typical data center computers are mounted in a rack or cabinet. Generally, the rack orientates the equipment in a front to rear position. Data center operational best practices promotes the inflow of cooling into the front of the equipment/racks and the exhaust air out of the rear. As a result, mass air flow detection of heat load does not exist in the data center operation methodology. Consequently, there is no effective method for measuring the mass air flow and enthalpy change of data center load.
- There is a need, therefore, for a method and system that provides an effective measurement and metric for cooling infrastructure and, more specifically, that can compare actual cooling capacity production to cooling infrastructure power consumption. Such a comparison will present an efficiency metric watts of cooling per watts of power consumption (watts per watts).
- Various embodiments of the present invention, sometimes referred to as a cooling enthalpy gauge (CEG), include an array of sensor modules and a controller module with display, user interface and I/O for third party connectivity. Four airflow components are measured: temperature, pressure, water content, and quantity of airflow. The combination of the four components is referred to as mass air flow (MAF). This system measures the MAF as it enters and exits the CRAC. The system then compares the two measurements to determine the amount of energy, or enthalpy, put into or taken out of the air. The enthalpy measurement is converted to and displayed as the watt metric. Having a common watt metric for the three facets of cooling usage (production, distribution, and usage) simplifies provisioning of cooling to a heat load. Over or under provisioning can be quickly identified and corrected, yielding effective and efficient cooling. When used in conjunction with power consumption monitoring, embodiments of the present invention can provide a “watts of cooling for watts of power consumption” efficiency metric for cooling infrastructure.
- The foregoing has outlined rather broadly certain aspects of the present invention in order that the detailed description of the invention that follows may better be understood. Additional features and advantages of the invention will be described hereinafter which form the subject of the claims of the invention. It should be appreciated by those skilled in the art that the conception and specific embodiment disclosed may be readily utilized as a basis for modifying or designing other structures or processes for carrying out the same purposes of the present invention. It should also be realized by those skilled in the art that such equivalent constructions do not depart from the spirit and scope of the invention as set forth in the appended claims.
- For a more complete understanding of the present invention, and the advantages thereof, reference is now made to the following descriptions taken in conjunction with the accompanying drawings, in which:
-
FIG. 1 is a depiction of one embodiment of a mass air flow sensor module used in array; -
FIG. 2 is a graphic representation of the deployment and use of one embodiment of the cooling enthalpy gauge of the present invention; and -
FIG. 3 is a graphic representation of the implementation of one embodiment of a flow hood of the present invention. - This invention relates to the measuring and monitoring of cooling and heat load in a computer data center or equipment room. The accurate measurement of cooling production, distribution, and usage can identify inefficient implementation of cooling systems. The configuration and use of the presently preferred embodiments are discussed in detail below. It should be appreciated, however, that the present invention provides many applicable inventive concepts that can be embodied in a wide variety of contexts other than managing and controlling cooling distribution. Accordingly, the specific embodiments discussed are merely illustrative of specific ways to make and use the invention, and do not limit the scope of the invention. In addition, the following terms shall have the associated meaning when used herein:
- “BMS” means any building management system used to gather data from and control building related systems and components such as power, cooling and ventilation, lights, physical access, cameras and other security systems like fire/smoke detectors, rodent controls etc., but typically excluding managing or controlling the IT environment;
- “CRAC” means a computer room air conditioning device installed in data center that uses a self-contained refrigeration cycle to remove heat from the room and send it away from the data center through a cooling medium;
- “CRAW” means a computer room air handling device installed in the data center that uses circulating chilled water to remove heat;
- “DCIM” means any data center infrastructure management system that has the capability to manage both the IT and facilities domains through a single controller;
- “enthalpy” means the total quantity of energy used to heat or cool a substance between two temperatures;
- “IT” means information technology; and
- “mass air flow” means temperature, pressure, water content and quantity of air from computer room air conditioners, air handlers, distribution vents or IT equipment fans.
- Referring now to
FIG. 1 which depicts one embodiment of a mass airflow sensor module 100 used in an array of the present invention. Themodule 100 is comprised of one ormore communications ports 101. Theport 101 may be male or female, but female connectors are much more common. Computer ports in common use cover a wide variety of shapes such as round (PS/2, etc.), rectangular (FireWire, etc.), square (telephone plug), trapezoidal, etc. - The
module 100 is also equipped with a massair flow sensor 102 in which the air traverses through the sensor in the direction depicted 103. The massair flow sensor 102 does not measure the volume of the air passing through the tube, it measures the mass of air flowing through thesensor 102 per unit time. In other words, the mass air flow sensor is simply an application of a mass flow meter for a special medium, air. - Embodiments of the
sensor 100 are also configured with a combination of one or more of a temperature sensor, relative humidity sensor, and barometric sensor or other sensors known in the art. - Referring now to
FIG. 2 which depicts the deployment and use of one embodiment of the cooling enthalpy gauge of the present invention. ACRAC unit 201 is configured with areturn air duct 202. Warm air in thereturn air stream 203 enters thereturn air duct 202 and passes through theCRAC unit 201. Cool air in thesupply air stream 204 then exits theCRAC unit 201. - The
CRAC unit 201 is configured with one embodiment of the coolingenthalpy gauge controller 205 of the present invention. Although a variety of configurations are possible, in one embodiment, thecontroller 205 is configured to accept the input of ten mass air flow sensors and four temperature sensors. In that case, thecontroller 205 would be required to receive a 0-5 volt signal for each of the ten mass air flow sensors. Two of the temperature sensor inputs would be dedicated for return temperature and the remaining two temperature sensor inputs would be dedicated for the supply temperature. The temperature sensors and their electrical requirements could be any that are known in the art. - The cooling
enthalpy gauge controller 205 is communicatively connected to a plurality of massair flow sensors 206, such as those previously described, creating a MAF sensor array inreturn air stream 203. In addition, theCRAC unit 201 is configured with a plurality of massair flow sensors 207, such as those previously described, creating a MAF sensor array in the supply air stream. Each of the massair flow sensors 207 in thesupply air stream 204 is also communicatively connected to the coolingenthalpy gauge controller 205. - In operation, the signal from the
MAF sensors 206 in thereturn air stream 203 will be averaged together to create a single return signal. Similarly, the signal from theMAF sensors 207 in thesupply air stream 204 will be averaged together to create a single supply signal. In either case, if a MAF sensor is not in communication with the coolingenthalpy gauge controller 205, the absence of the signal is not counted in the averaged reading. - Embodiments of the present invention use an array of mass air flow, temperature, humidity, and barometric sensors to read the air quantity and quality as it enters a CRAC unit and then compares those readings to the supply side sensors to calculate the change in enthalpy. More specifically, the
controller 205 will compare the return signal to the supply signal from the MAF sensors to the temperature differential (ΔT) of thesupply air stream 204 and returnair stream 203 of theCRAC unit 201. The user may specify the desired exhaust temperature. Thecontroller 205 also allows the end user to configure the sampling area, such as square inch. The user may also designate whether the area to be sampled is round, square or rectangular. For round sampling areas, the end user will enter in the diameter of the sampling area in inches and thecontroller 205 will determine the sampling area by using the formula R2 X π. For square or rectangle sampling areas, the end user will enter in the width and length. - The
controller 205 will use the information input by the user to scale the output of the MAF sensors to lbs/min. The controller will then convert the lbs/min output to watts cooling capacity by the following formula: -
((MAF “lb/min”)×(ΔH “btu/lb° F.”))×60/3.412 - Where H is enthalpy, and the formula for calculating enthalpy is:
-
(0.24*“° F.”)+(0.62198*(“% RH”/100)*(EXP((10440.4/(“° F.”+459.67)−11.29465−0.02702235*(“° F.”+459.67)+0.00001289036*(“° F.”+459.67)̂2−0.000000002478068*(“° F.”+459.67)̂3+6.545967*(LN(“° F.”+459.67)))))/((“P”*14.7)−(“% RH”/100)*(EXP((−10440.4/(“° F.”+459.67)−11.29465−0.02702235*(“° F.”+459.67)+0.00001289036*(“° F.”+459.67)̂2−0.000000002478068*(“° F.”+459.67)̂3+6.545967*(LN(“° F.”+459.67))))))*(1061+0.444*“° F.”)) - where: “° F.”=Temperature in degrees Fahrenheit
-
- “% RH”=Humidity in relative percentage
- “P”=Barometric pressure measured in atmosphere
- Enthalpy must be calculated for return and supply air temperatures. The change in enthalpy, or ΔH, is determined by subtracting supply enthalpy from return enthalpy.
- Turning now to the mass air flow signal, airflow from a fan/blower is delivered in a pulsing manner. Thus, in various embodiments, the MAF sensor will read the airflow in a pulsating/oscillating manner. To read the signal result, the MAF signal must be smoothed. Signal smoothing is achieved by averaging the oscillating signal over a user settable time period. In some embodiments, default time period may be 0.5 seconds. In any event, the signal from each MAF sensor must be smooth over a short user scalable period prior to averaging signals.
- The
controller 205 will also be configured with a display from which the user can input the settings and receive the results. This may be accomplished through a series of buttons (physical or I/O screen based) for end users to interact with the controller.Controller 205 may also include an internal web based client for remote configuration and access for monitoring. In some embodiments, thecontroller 205 may communicate using SNMP and Modbus IP protocols and use RJ45 and/or wireless connectors. - The
controller 205 can display cooling production from a CRAC unit, in real time, and displayed in watts. The “watts” metric is used to simplify monitoring process by using consist units for cooling production, distribution and IT heat load (e.g. cabinet power strip). - Referring now to
FIG. 3 , which depicts a computer room equipped with one embodiment of the cooling enthalpy gauge of the present invention. A plurality of massair flow sensors 100 are positioned and aflow hood 301 which is positioned over a perforated floor tile or vent 303.Air 304 passes through theflow hood 301 for monitoring. - The
controller 201 can be operated in different modes. For example, it can monitor and control CRAC unit cooling production in which it outputs the watts of cooling production. Alternatively, it can monitor and control cooling distribution, in which case, the user enters in a desired cabinet 305 exhaust air temperature into the controller 205 (example 85° F.). TheCEG hood 302 is placed over a perforated floor tile or vent 303. Thecontroller 205 will calculate watts of cooling distributed through the perforated floor tile or vent 303. - The methods and systems described herein provide a number of unique and beneficial features. For example, when used in conjunction with a BMS or DCIM solution which monitors cooling infrastructure power, the embodiments of the present invention can display a “cooling kW to kW power consumed” which is akin to a “miles per gallon” metric. Embodiments of the present invention can also identify inefficient cooling distribution by comparing % of water valve or compressor utilization, to the CRAC unit's rated capacity, and to the system's measured capacity.
- Further, various embodiments can identify redundant cooling distribution issues by comparing cooling distribution readings between redundant cooling production scenarios (e.g., lead/lag configurations). Embodiments can also equip facilities managers with actionable information such as the most efficient means to cool the data center. For example, information can be provided to assist in determining whether is it better to turn off a CRAC unit, raise the temperature set point, or reduce variable fan speeds.
- In addition, various embodiments can help identify CRAC unit installation and operation issues such as subfloor blockages, slipping belts, restrictive filters, short cycling, excessive humidification/dehumidification, over or under utilization and inappropriate temperature set point.
- As can be appreciated from the foregoing disclosure, unlike previously described systems that are unable to provide exact measurements of CRAC unit utilization, various embodiments of the present invention provide an exact measurement of cooling production (enthalpy) which is compared to the compressor or chill water valve settings, fan speed, and CRAC unit rated capacity. As a result, the present invention can determine the cause of CRAC inefficiency. For example, a 105 kW rated CRAC unit is only provided 75 kW of cooling and is operating at 100% capacity. The return temperature is 69° F. and the supply temperature is 58° F. The cooling set point is 69° F. Embodiments of the present invention can determine that the CRAC unit is operating at 71% effectiveness and the causes of a low effectiveness rating are a low return air temperature and low temperature set point.
- Also, unlike previously described systems that are unable to measure mass air flow cooling distribution at vents or perforated raised floor tiles, various embodiments of the present invention provide an array of mass air flow sensors in a flow hood positioned over the vent or perforated floor tile. A user enters the desired equipment exhaust temperature and the system of the present invention calculates the watts of cooling required based on the mass air flow distributed to that location compared to the desired enthalpy.
- Finally, unlike previously described systems that are unable to effectively measure mass air flow and enthalpy change of data center load, various embodiments of the present invention allow an array of sensors to be located in a flow hood at the front of the equipment or equipment rack and another array of sensors will be placed in a hood at the exhaust side of the equipment or equipment rack. The system of the present invention measures the mass air flow at the inlet and compares it to the exhaust enthalpy change. The measured results are displayed in watts.
- While the present system and method has been disclosed according to the preferred embodiment of the invention, those of ordinary skill in the art will understand that other embodiments have also been enabled. Even though the foregoing discussion has focused on particular embodiments, it is understood that other configurations are contemplated. In particular, even though the expressions “in one embodiment” or “in another embodiment” are used herein, these phrases are meant to generally reference embodiment possibilities and are not intended to limit the invention to those particular embodiment configurations. These terms may reference the same or different embodiments, and unless indicated otherwise, are combinable into aggregate embodiments. The terms “a”, “an” and “the” mean “one or more” unless expressly specified otherwise. The term “connected” means “communicatively connected” unless otherwise defined.
- When a single embodiment is described herein, it will be readily apparent that more than one embodiment may be used in place of a single embodiment. Similarly, where more than one embodiment is described herein, it will be readily apparent that a single embodiment may be substituted for that one device.
- In light of the wide variety of methods for determining the method and system for managing cooling distribution known in the art, the detailed embodiments are intended to be illustrative only and should not be taken as limiting the scope of the invention. Rather, what is claimed as the invention is all such modifications as may come within the spirit and scope of the following claims and equivalents thereto.
- None of the description in this specification should be read as implying that any particular element, step or function is an essential element which must be included in the claim scope. The scope of the patented subject matter is defined only by the allowed claims and their equivalents. Unless explicitly recited, other aspects of the present invention as described in this specification do not limit the scope of the claims.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117615532A (en) * | 2023-11-17 | 2024-02-27 | 无锡新三江塑业科技有限公司 | Instrument and meter shell with waterproof fog function |
US12009660B1 (en) * | 2023-07-11 | 2024-06-11 | T-Mobile Usa, Inc. | Predicting space, power, and cooling capacity of a facility to optimize energy usage |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20190343024A1 (en) * | 2018-05-01 | 2019-11-07 | DCIM Solutions, LLC | Mini-split hvac ducted return and supply system |
Family Cites Families (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4934189A (en) | 1989-02-27 | 1990-06-19 | Mitsubishi Denki Kabushiki Kaisha | Temperature sensing flow sensor |
US7328624B2 (en) * | 2002-01-23 | 2008-02-12 | Cidra Corporation | Probe for measuring parameters of a flowing fluid and/or multiphase mixture |
WO2004044532A2 (en) * | 2002-11-12 | 2004-05-27 | Cidra Corporation | An apparatus having an array of piezoelectric film sensors for measuring parameters of a process flow within a pipe |
CA2530596C (en) * | 2003-06-24 | 2013-05-21 | Cidra Corporation | System and method for operating a flow process |
JP4603951B2 (en) * | 2005-08-08 | 2010-12-22 | トヨタ自動車株式会社 | Soot generation amount estimation device for internal combustion engine |
EP1930568B1 (en) * | 2006-12-07 | 2010-07-14 | Abb Research Ltd. | Method and system for monitoring process states of an internal combustion engine |
US8346491B2 (en) * | 2007-02-23 | 2013-01-01 | Expro Meters, Inc. | Sonar-based flow meter operable to provide product identification |
DE102008061631A1 (en) | 2008-12-11 | 2010-06-17 | Emerson Electric Gmbh & Co. Ohg | Method for determining the coefficient of performance of a refrigerating machine |
US20100286957A1 (en) * | 2009-05-06 | 2010-11-11 | Lance Rock | Method for measuring HVAC efficiency |
US9062887B2 (en) * | 2009-11-19 | 2015-06-23 | Hobart Brothers Company | Modular heating, ventilating, air conditioning, and refrigeration systems and methods |
US9261542B1 (en) | 2013-01-24 | 2016-02-16 | Advantek Consulting Engineering, Inc. | Energy efficiency ratio meter for direct expansion air-conditioners and heat pumps |
US9170144B2 (en) * | 2013-07-10 | 2015-10-27 | Baohua Qi | Multifunctional fluid level and quality sensing device |
ITBO20130480A1 (en) * | 2013-09-10 | 2015-03-11 | Magneti Marelli Spa | METHOD OF CORRECTION OF THE REDUCED MASS CAPACITY OF A COMPRESSOR IN AN INTERNAL TURBOCHROME COMBUSTION ENGINE BY A TURBOCHARGER |
US9217362B2 (en) * | 2013-09-11 | 2015-12-22 | GM Global Technology Operations LLC | Two-stage turbocharger flow control |
US9243598B2 (en) * | 2014-02-25 | 2016-01-26 | Ford Global Technologies, Llc | Methods for determining fuel bulk modulus in a high-pressure pump |
CN105322900B (en) | 2014-06-04 | 2018-10-26 | 珠海格力电器股份有限公司 | Control method and system of power amplifier and air conditioner |
US9689617B2 (en) * | 2014-07-07 | 2017-06-27 | Cooling Concepts, Inc. | System for reducing air temperatures adjacent an air cooler |
US9470185B2 (en) * | 2014-07-29 | 2016-10-18 | Ford Global Technologies, Llc | Engine-off natural vacuum testing for variable displacement engine vehicles |
US9890744B2 (en) * | 2014-08-08 | 2018-02-13 | Ford Global Technologies, Llc | Route and traffic information-based EVAP system leak test initiation |
DE102014226181A1 (en) * | 2014-12-17 | 2016-06-23 | Robert Bosch Gmbh | Method and apparatus for testing a pressure-based mass flow sensor in an air supply system for an internal combustion engine |
US9926866B2 (en) * | 2015-05-07 | 2018-03-27 | Deere & Company | System and method for exhaust gas recirculation flow correction using temperature measurements |
-
2017
- 2017-05-12 US US15/594,155 patent/US9915570B1/en active Active
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US12009660B1 (en) * | 2023-07-11 | 2024-06-11 | T-Mobile Usa, Inc. | Predicting space, power, and cooling capacity of a facility to optimize energy usage |
CN117615532A (en) * | 2023-11-17 | 2024-02-27 | 无锡新三江塑业科技有限公司 | Instrument and meter shell with waterproof fog function |
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