CN107676925B - Method for calculating power consumption of cold storage equipment of central air-conditioning system - Google Patents
Method for calculating power consumption of cold storage equipment of central air-conditioning system Download PDFInfo
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Abstract
The invention discloses a method for calculating the electricity consumption of cold storage equipment of a central air-conditioning system, which is characterized in that independent electricity meters are arranged on a compressor and a chilled water pump of the central air-conditioning system, a main controller of the central air-conditioning system is connected with a server of a local weather bureau, the change condition of the weather temperature from the N day (the same day) to the N +4 day of the server of the local weather bureau is read and calculated, and the optimal electricity consumption of the cold storage equipment of the N +1 day is finally calculated by combining the electricity consumption of the compressor and the chilled water pump of the central air-conditioning system, so that the cold storage quantity of the cold storage equipment is controlled, the calculation is simple, and the electricity consumption of the cold storage equipment of the central air-conditioning system can be effectively saved.
Description
Technical Field
The invention relates to a central air-conditioning system, in particular to a method for calculating the electricity consumption of cold storage equipment of the central air-conditioning system.
Background
According to the policy of electricity price at peak and valley time periods (peak price and valley price) in China, the compressor and the refrigerating water pump of the traditional central air conditioner usually start to manufacture cold storage capacity at night (valley price) time periods of the day until the cold storage device is full of cold storage capacity, and then release the cold storage capacity at daytime (peak price) time periods of the next day so as to provide partial or all cold supply demands, so that the peak electricity utilization can be staggered, and the effect of saving electricity charges is achieved. If the weather temperature change of the next day is not big with the temperature change of the day, then can be used for the cooling with whole cold storage volume, if the weather temperature of the next day is great with the change of comparison of the day, for example, the weather temperature of the next day reduces by a wide margin, then only need a small amount of cold storage volume refrigeration can, nevertheless because central air conditioning always will be full of the cold storage volume storage of cold storage device, this can lead to when the temperature reduces of the next day, there is unnecessary cold storage volume in the cold storage device, lead to unnecessary waste, also lead to the increase of power consumption.
Disclosure of Invention
The invention provides a method for calculating the electricity consumption of the cold storage equipment of the central air-conditioning system, which is simple in calculation and can effectively save the electricity consumption.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a method for calculating the electric consumption of cold storage equipment in central air-conditioning system includes installing independent electric meters on compressor and freezing water pump of central air-conditioning system, connecting master controller of central air-conditioning system to server of local weather bureau, reading and calculating the variation state of weather and temperature from N day to N +4 day of server of local weather bureau, and finally calculating the optimum electric consumption of cold storage equipment in N +1 day by combining the electric consumption of compressor and freezing water pump of central air-conditioning system.
The steps of the method are as follows:
(1) reading and calculating the average temperature T of the weather temperatures from 8 to 21 points on the Nth day by a server of a local weather bureau00；
(2) Reading and calculating the average temperature T of the weather temperature from 22 points on the N day to 6 points on the N +1 day by the server of the local weather bureau10；
(3) Reading and calculating the average temperature T of the weather temperature of the whole day of the Nth day through a server of a local weather bureau20；
(4) Reading and calculating the average temperature T of the weather temperatures from 8 to 20 points on the N +1 th day by a server of a local weather bureau01；
(5) Reading and calculating the average temperature T of the weather temperature from 21 point on the N +1 day to 6 points on the N +2 day by a server of a local weather bureau11；
(6) Reading and calculating the average temperature T of the weather temperature of the whole day from the N +2 th day to the N +4 th day through a server of a local weather bureau21；
(7) Calculating the power consumption W1 of the optimal cold storage equipment, wherein the calculation formula is as follows:
W1=W0*(∆T0*K0+∆T1*K1+∆T2*K2)，
wherein the content of the first and second substances,
w0 is the power consumption of the compressor and the freezing water pump on the Nth day;
∆T0= T01/ T00；
∆T1= T11/ T10；
∆T2= T21/ T20；
k0, K1, and K2 are weight coefficients corresponding to Δ T0, Δ T1, and Δ T2;
(8) and calculating W1, which is the optimal electricity consumption of the cold storage equipment on the N +1 th day of the central air-conditioning system.
The invention has the beneficial effects that: the method and the system of the invention finally calculate the optimal power consumption of the cold storage equipment on the (N + 1) th day according to the weather temperature change conditions from the N th day to the (N + 4) th day of the server of the local weather bureau by reading and calculating, and combining the power consumption of the compressor and the chilled water pump of the central air-conditioning system, thereby controlling the cold storage quantity of the cold storage equipment, having simple calculation and effectively saving the power consumption of the cold storage equipment of the central air-conditioner.
Detailed Description
A method for calculating the electric consumption of cold storage equipment in central air-conditioning system features that the independent electric meters are installed to compressor and freezing water pump of central air-conditioning system, the master controller of central air-conditioning system is connected to the server of local weather bureau, and the optimal electric consumption of cold storage equipment in the (N + 1) th day is finally calculated by reading and calculating the variation of weather temp from the (N) th day to the (N + 4) th day of the server of local weather bureau and combining them. The refrigerating capacity of the air conditioner is usually related to the weather temperature, and the refrigerating capacity is increased when the weather temperature is higher, so that the power consumption is increased, and therefore, the refrigerating capacity can be controlled by controlling the power consumption of the refrigerating equipment; in addition, the applicant collects weather condition data collected by central air conditioning systems of twenty or more cities in China, calculates the actual error between the weather predicted value and the actual weather value of each local weather bureau to be within 6.3%, and improves the reliability of data sources.
The steps of the method are as follows:
(1) reading and calculating the average temperature T of the weather temperatures from 8 to 21 points on the Nth day by a server of a local weather bureau00. In this embodiment, the applicant obtains weather temperature values from 8 o 'clock to 21 o' clock in 2017, 8 months and 25 days in zhongshan city, which are respectively: 23 ℃, 25 ℃, 27 ℃, 29 ℃, 30 ℃, 31 ℃, 30 ℃, 28 ℃, 27 ℃, 26 ℃ and 27 ℃, and the average temperature T00=27.4℃。
(2) Reading and calculating the average temperature T of the weather temperature from 22 points on the N day to 6 points on the N +1 day by the server of the local weather bureau10. Acquiring weather temperature values from 22 o 'clock in 25 days of 8 months to 6 o' clock in 26 days of 8 months in 2017 of Zhongshan city, wherein the weather temperature values are respectively as follows: 25 ℃, 24 ℃, 22 ℃, 21 ℃, 20 ℃, 19 ℃, 18 ℃ and 19 ℃, respectively, the average temperature T10=22℃。
(3) Reading and calculating the average temperature T of the weather temperature of the whole day of the Nth day through a server of a local weather bureau20. Acquiring the weather temperature of the city of Zhongshan in 2017, 8 months and 25 days all day, wherein the weather temperatures are respectively as follows: 25 ℃, 24 ℃, 23 ℃, 22 ℃, 23 ℃, 25 ℃, 27 ℃, 29 ℃, 30 ℃, 31 ℃, 30 ℃, 28 ℃, 27 ℃, 26 ℃, 27 ℃, 25 ℃, 24 ℃ and 22 ℃ to obtain the average temperature T20=25.9℃。
(4) Reading and calculating the average temperature T of the weather temperatures from 8 to 21 points on the N +1 th day by a server of a local weather bureau01. Acquiring the weather temperatures from 8 o ' clock to 21 o ' clock of 26 o ' clock in 2017, 8 months and the like in Zhongshan City, wherein the weather temperatures are respectively as follows: 18 ℃, 17 ℃, 18 ℃, 19 ℃, 20 ℃, 19 ℃, 18 ℃, 19 ℃ and the average temperature T01=18.6℃。
(5) By the local weather bureauThe server reads and calculates the average temperature T of the weather temperature from 22 o 'clock on day N +1 to 6 o' clock on day N +211. Acquiring the weather temperatures from 26 days 22 o 'clock 8 month to 27 days 6 o' clock 8 month in 2017 of Zhongshan city, wherein the weather temperatures are respectively as follows: 20 ℃, 21 ℃, 22 ℃, 21 ℃, 23 ℃ and 24 ℃ and the average temperature T11=21.9℃。
(6) Reading and calculating the average temperature T of the weather temperature of the whole day from the N +2 th day to the N +4 th day through a server of a local weather bureau21. Since the data size is too large, T is calculated without being listed one by one21=22.3℃。
(7) Calculating the power consumption W1 of the optimal cold storage equipment, wherein the calculation formula is as follows:
W1=W0*(∆T0*K0+∆T1*K1+∆T2*K2)，
wherein the content of the first and second substances,
w0 is the power consumption of the compressor and the freezing water pump on the Nth day; in this embodiment, the applicant used an Ocker (QRD-72 NW/EB 2-N3) embedded ceiling household central air conditioner as an experiment, the external machine cooling power (i.e., the power of the compressor and the chilled water pump) of which was 2420W, according to the known formula: the power consumption of the air conditioner for one hour is 2.42 degrees, and the power consumption of the air conditioner for one hour is obtained by substituting data, so that the power consumption (calculated according to 23 hours of operation in one day) of the compressor and the refrigerating water pump on 25 days of 8 months in 2017 is as follows: 2.42 × 23=55.66 degrees, i.e. W0= 55.66.
∆T0= T01/ T00(ii) a Substituting the data, calculating Δ T0= 0.41.
∆T1= T11/ T10(ii) a Substituting the data, calculating Δ T1= 0.25.
∆T2= T21/ T20(ii) a Substituting the data, calculating Δ T2= 0.13.
K0, K1, and K2 are the weight coefficients corresponding to Δ T0, Δ T1, and Δ T2. The weighting coefficient is calculated by the applicant by using a normalization method, and is calculated to be K0=0.6, K1=0.25 and K2= 0.15.
(8) And calculating W1, which is the optimal electricity consumption of the cold storage equipment on the N +1 th day of the central air-conditioning system. The data obtained by the above calculation are substituted into a calculation formula, and finally, W1=43.97 degrees is calculated. The best electricity consumption of the cold storage equipment in 26/8/2017 is 43.97 degrees, so that the cold storage capacity of the central air-conditioning system equipment is controlled, the electricity saving rate is W = (W0-W1)/W0 is 100% relative to W0, the calculation result is W =21%, and the electricity saving effect is good.
The method and the system of the invention finally calculate the optimal power consumption of the cold storage equipment on the (N + 1) th day according to the weather temperature change conditions from the N th day to the (N + 4) th day of the server of the local weather bureau by reading and calculating, and combining the power consumption of the compressor and the chilled water pump of the central air-conditioning system, thereby controlling the cold storage quantity of the cold storage equipment, having simple calculation and effectively saving the power consumption of the cold storage equipment of the central air-conditioner.
The above embodiments do not limit the scope of the present invention, and those skilled in the art can make equivalent modifications and variations without departing from the overall concept of the present invention.
Claims (1)
1. A method for calculating the electricity consumption of cold storage equipment of a central air-conditioning system is characterized in that independent electricity meters are installed on a compressor and a chilled water pump of the central air-conditioning system, a main controller of the central air-conditioning system is connected with a server of a local weather bureau, the change condition of the weather temperature from the Nth day (the current day) to the (N + 4) th day of the server of the local weather bureau is read and calculated, and the optimal electricity consumption of the cold storage equipment of the (N + 1) th day is finally calculated by combining the electricity consumption of the compressor and the chilled water pump of the central air-conditioning system; the method comprises the following steps:
(1) reading and calculating the average temperature T of the weather temperatures from 8 to 21 points on the Nth day by a server of a local weather bureau00；
(2) Reading and calculating the average temperature T of the weather temperature from 22 points on the N day to 6 points on the N +1 day by the server of the local weather bureau10；
(3) Reading and calculating the average temperature T of the weather temperature of the whole day of the Nth day through a server of a local weather bureau20；
(4) Through the local weather bureauThe server of (1) reads and calculates the average temperature T of the weather temperatures from 8 o 'clock to 20 o' clock on day N +101；
(5) Reading and calculating the average temperature T of the weather temperature from 21 point on the N +1 day to 6 points on the N +2 day by a server of a local weather bureau11；
(6) Reading and calculating the average temperature T of the weather temperature of the whole day from the N +2 th day to the N +4 th day through a server of a local weather bureau21；
(7) Calculating the power consumption W1 of the optimal cold storage equipment, wherein the calculation formula is as follows:
W1=W0*(∆T0*K0+∆T1*K1+∆T2*K2)，
wherein the content of the first and second substances,
w0 is the power consumption of the compressor and the freezing water pump on the Nth day;
∆T0= T01/ T00；
∆T1= T11/ T10；
∆T2= T21/ T20；
k0, K1, and K2 are weight coefficients corresponding to Δ T0, Δ T1, and Δ T2;
(8) and calculating W1, which is the optimal electricity consumption of the cold storage equipment on the N +1 th day of the central air-conditioning system.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003083588A (en) * | 2001-09-06 | 2003-03-19 | Sharp Corp | Power budget management device and air conditioner using it |
| CN203501387U (en) * | 2013-09-26 | 2014-03-26 | 中铁建设集团有限公司 | Ice storage control system with next day energy consumption simulation functions |
| CN104913438A (en) * | 2015-05-19 | 2015-09-16 | 广州供电局有限公司 | Ice storage system control optimization method and system |
| CN106152343A (en) * | 2016-07-05 | 2016-11-23 | 西安建筑科技大学 | A kind of ice-chilling air conditioning system design optimization method based on Life cycle |
| CN205980188U (en) * | 2016-08-05 | 2017-02-22 | 上海冰核时代科技中心（有限合伙） | Ice cold -storage optimal control system based on load forecast |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003083588A (en) * | 2001-09-06 | 2003-03-19 | Sharp Corp | Power budget management device and air conditioner using it |
| CN203501387U (en) * | 2013-09-26 | 2014-03-26 | 中铁建设集团有限公司 | Ice storage control system with next day energy consumption simulation functions |
| CN104913438A (en) * | 2015-05-19 | 2015-09-16 | 广州供电局有限公司 | Ice storage system control optimization method and system |
| CN106152343A (en) * | 2016-07-05 | 2016-11-23 | 西安建筑科技大学 | A kind of ice-chilling air conditioning system design optimization method based on Life cycle |
| CN205980188U (en) * | 2016-08-05 | 2017-02-22 | 上海冰核时代科技中心（有限合伙） | Ice cold -storage optimal control system based on load forecast |
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Address after: 528400 4th floor, building 1, Daling Industrial Zone, Torch Development Zone, Zhongshan City, Guangdong Province Patentee after: Guangdong ludes Environmental Technology Co.,Ltd. Address before: 528400 4th floor, building 1, Daling Industrial Zone, Torch Development Zone, Zhongshan City, Guangdong Province Patentee before: ZHONGSHAN LOTUSAIR Co.,Ltd. |
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