CN101825327A - Method for acquiring optimum air-conditioning system operation parameters based on weather forecast - Google Patents
Method for acquiring optimum air-conditioning system operation parameters based on weather forecast Download PDFInfo
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Abstract
The invention relates to a method for acquiring the optimum air-conditioning system operation parameters based on the weather forecast, solving the problems of poor temperature regulating quality in the buildings because of inaccurate operation parameters of the existing air-conditioning systems and difficult implementation and grave energy waste because of higher requirements of the existing automatic air-conditioning regulating devices for the existing air-conditioners. The method is characterized by computing the hourly meteorological parameters of the next N-numbered hours according to the weather forecast in combination with the historical meteorological data; later, computing the hourly air-conditioning load according to the characteristic parameters of the buildings in combination with the hourly meteorological parameters and comparing the hourly air-conditioning load with the designed air-conditioning load to determine the hourly load coefficients; then carrying out heat balance analysis on all the operation modes and the hourly load coefficient of the air-conditioners to be regulated to screen out the feasible operation modes; and selecting the feasible operation mode characterized by minimum energy consumption as the optimum operation mode and outputting the parameters of the optimum operation mode. The method is applicable to operation control of large air-conditioners.
Description
Technical field
The present invention relates to a kind of preparation method of air-conditioning system operational factor.
Background technology
In the most existing air-conditioning system, owing to construction time, design, initial cost, managerial reason, the operational factor of air-conditioning is by manual metering mode and calculating acquisition in addition, operational factor is inaccurate, and operating personnel regulate to satisfy the demand of Building Heat comfort level air-conditioning by this data.Air-conditioning system is under this operation control, and the cold that handpiece Water Chilling Units provides is difficult to adapt to the variation of building loading, and thermal comfort is second-rate in the building.
And existing air-conditioning self-checking device, as direct digital control system (DDC system), realize adjustment though can reach air-conditioning system according to variation of temperature in the building, but this system need transform significantly to existing air-conditioning, is difficult to realize for the existing air-conditioning system of major part; Simultaneously, it is with high costs, and energy waste is also bigger.
Summary of the invention
The present invention causes in the building adjustment of poor quality for the operational factor that solves existing air-conditioning system is inaccurate, and existing air-conditioning self-checking device is to the problem that having relatively high expectations of existing air-conditioning causes being difficult to carry out, energy waste is serious, thereby a kind of method for acquiring optimum air-conditioning system operation parameters based on weather forecast is provided.
Based on the method for acquiring optimum air-conditioning system operation parameters of weather forecast, it is realized by following steps:
Step 1, inquiry wait to regulate following N hour weather forecast of air-conditioning location, obtain this area following N hour temperature maximum and temperature minimum of a value;
Step 2, following N hour the temperature maximum in this area that obtains according to step 1 and temperature minimum of a value obtain following N hour of this area by the time air themperature value;
Step 3, with same month in following N hour described place month on corresponding date of this area described in the step 2 in the history meteorological data, search and the maximum temperature value on this date and immediate historical date of minimum temperature value, and with the solar radiation value on the described historical date solar radiation value as this date;
Step 4, the solar radiation value that obtains with step 3 are radix, determine following N hour of this area by the time intensity of solar radiation value;
Following N hour of step 5, this area that obtains according to step 2 by the time following N hour of air themperature value, the step 4 this area that determines by the time intensity of solar radiation value and wait to regulate air-conditioning place building characterisitic parameter, adopt the air conditioner load theory of computation obtain to wait to regulate following N hour of air-conditioning by the time air-conditioning load value;
Step 6, with step 5 obtain to wait to regulate following N hour of air-conditioning by the time air-conditioning load value regulate the Air-conditioner design load value divided by waiting, determine to wait to regulate air-conditioning by the time air-conditioning load coefficient;
Step 7, will wait to regulate the handpiece Water Chilling Units quantity of air-conditioning and the regulative mode of handpiece Water Chilling Units carries out permutation and combination, obtain all operational modes of waiting to regulate air-conditioning;
Step 8, all operational modes and the step 6 of waiting of obtaining of step 7 being regulated air-conditioning determine to wait to regulate air-conditioning by the time air-conditioning load coefficient carry out thermal equilibrium analysis, and filter out and satisfy the feasible operational mode of waiting to regulate the wet requirement of air-conditioning heat;
Step 9, satisfiedly wait to regulate the wet feasible operational mode that requires of air-conditioning heat and carry out operation energy consumption and calculate what filter out in the step 8, and the energy consumption result is compared, the feasible operational mode of selecting the energy consumption minimum for use is as the optimized operation pattern;
Parameter output in step 10, the optimized operation pattern that step 9 is obtained, the optimized operation parameter of waiting to regulate air-conditioning system that the result of described output is;
Described N is for more than or equal to 1 and be less than or equal to 24 integer.
Following N hour temperature maximum in this area that obtains according to step 1 described in the step 2 and temperature minimum of a value obtain following N hour of this area by the time air themperature value
For:
In the formula,
t MaxBe the temperature maximum;
t MinBe the temperature minimum of a value;
For by the time air themperature value; Parameter
βBe corresponding coefficient constantly, this coefficient with corresponding relation constantly is: 1 o'clock,
β=-0.337; 2 o'clock,
β=-0.365; 3 o'clock,
β=-0.404; 4 o'clock,
β=-0.433; 5 o'clock,
β=-0.452; 6 o'clock,
β=-0.394; 7 o'clock,
β=-0.269; 8 o'clock,
β=-0.115; 9 o'clock,
β=0.029; 10 o'clock,
β=0.154; 11 o'clock,
β=0.279; 12 o'clock,
β=0.385; 13 o'clock,
β=0.462; 14 o'clock,
β=0.500; 15 o'clock,
β=0.490; 16 o'clock,
β=0.413; 17 o'clock,
β=0.375; 18 o'clock,
β=0.269; 19 o'clock,
β=0.135; 20 o'clock,
β=0.000; 21 o'clock,
β=-0.096; 22 o'clock,
β=-0.163; 23 o'clock,
β=-0.221; 24 o'clock,
β=-0.250.
The described solar radiation value that obtains with step 3 of step 4 is a radix, determine following N hour of this area by the time intensity of solar radiation value
For:
In the formula:
Be this day solar radiation value; Parameter
γBe coefficient, its value standard is: when weather information when being fine,
γ=1; When weather information is the moon,
γ=0.5; When weather information is shower,
γ=0.6; When weather information is light rain,
γ=0.4; When weather information is moderate rain,
γ=0.3; When weather information for when raining heavyly,
γ=0.2; Other weather informations,
γ=0.0.
The characterisitic parameter of building described in the step 5 comprises: wait to regulate the size of air-conditioning place building, the construction material of waiting to regulate air-conditioning place building and the interior of building personnel rule of working and resting.
Step 5 obtain to wait to regulate following N hour of air-conditioning by the time air-conditioning load value revise by waiting the historical data of regulating air-conditioning.
Parameter comprises in the step 10 optimized operation pattern: the handpiece Water Chilling Units of waiting to regulate air-conditioning by the time platform number and the running time and the corresponding method of operation thereof of opening.
Beneficial effect: method of the present invention can realize that according to weather forecast and historical meteorological data the air-conditioning system operational factor of acquisition is accurate, can make the interior adjustment quality of building reach optimum efficiency; And do not need existing air-conditioning is transformed, save the consumption of the energy in a large number.Adopt the operational factor of the air-conditioning system of the present invention's acquisition, air-conditioning system is controlled automatically, can realize the operatorless automatic control of air-conditioning system.Method of the present invention is applicable to the control to the air-conditioning system of existing building.
Description of drawings
Fig. 1 is the schematic flow sheet of the inventive method.
The specific embodiment
The specific embodiment one, based on the method for acquiring optimum air-conditioning system operation parameters of weather forecast, it is realized by following steps:
Step 1, inquiry wait to regulate following N hour weather forecast of air-conditioning location, obtain this area following N hour temperature maximum and temperature minimum of a value;
Step 2, following N hour the temperature maximum in this area that obtains according to step 1 and temperature minimum of a value obtain following N hour of this area by the time air themperature value;
Step 3, with same month in following N hour described place month on corresponding date of this area described in the step 2 in the history meteorological data, search and the maximum temperature value on this date and immediate historical date of minimum temperature value, and with the solar radiation value on the described historical date solar radiation value as this date;
Step 4, the solar radiation value that obtains with step 3 are radix, determine following N hour of this area by the time intensity of solar radiation value;
Following N hour of step 5, this area that obtains according to step 2 by the time following N hour of air themperature value, the step 4 this area that determines by the time intensity of solar radiation value and wait to regulate air-conditioning place building characterisitic parameter, adopt the air conditioner load theory of computation obtain to wait to regulate following N hour of air-conditioning by the time air-conditioning load value;
Step 6, with step 5 obtain to wait to regulate following N hour of air-conditioning by the time air-conditioning load value regulate the Air-conditioner design load value divided by waiting, determine to wait to regulate air-conditioning by the time air-conditioning load coefficient;
Step 7, will wait to regulate the handpiece Water Chilling Units quantity of air-conditioning and the regulative mode of handpiece Water Chilling Units carries out permutation and combination, obtain all operational modes of waiting to regulate air-conditioning;
Step 8, all operational modes and the step 6 of waiting of obtaining of step 7 being regulated air-conditioning determine to wait to regulate air-conditioning by the time air-conditioning load coefficient carry out thermal equilibrium analysis, and filter out and satisfy the feasible operational mode of waiting to regulate the wet requirement of air-conditioning heat;
Step 9, satisfiedly wait to regulate the wet feasible operational mode that requires of air-conditioning heat and carry out operation energy consumption and calculate what filter out in the step 8, and the energy consumption result is compared, the feasible operational mode of selecting the energy consumption minimum for use is as the optimized operation pattern;
Parameter output in step 10, the optimized operation pattern that step 9 is obtained, the optimized operation parameter of waiting to regulate air-conditioning system that the result of described output is;
Described N is for more than or equal to 1 and be less than or equal to 24 integer.
Following N hour temperature maximum in this area that obtains according to step 1 described in the step 2 and temperature minimum of a value obtain following N hour of this area by the time air themperature value
For:
In the formula,
t MaxBe the temperature maximum;
t MinBe the temperature minimum of a value;
For by the time air themperature value; Parameter
βBe corresponding coefficient constantly, this coefficient with corresponding relation constantly is: 1 o'clock,
β=-0.337; 2 o'clock,
β=-0.365; 3 o'clock,
β=-0.404; 4 o'clock,
β=-0.433; 5 o'clock,
β=-0.452; 6 o'clock,
β=-0.394; 7 o'clock,
β=-0.269; 8 o'clock,
β=-0.115; 9 o'clock,
β=0.029; 10 o'clock,
β=0.154; 11 o'clock,
β=0.279; 12 o'clock,
β=0.385; 13 o'clock,
β=0.462; 14 o'clock,
β=0.500; 15 o'clock,
β=0.490; 16 o'clock,
β=0.413; 17 o'clock,
β=0.375; 18 o'clock,
β=0.269; 19 o'clock,
β=0.135; 20 o'clock,
β=0.000; 21 o'clock,
β=-0.096; 22 o'clock,
β=-0.163; 23 o'clock,
β=-0.221; 24 o'clock,
β=-0.250.
The described solar radiation value that obtains with step 3 of step 4 is a radix, determine following N hour of this area by the time intensity of solar radiation value
For:
In the formula:
Be this day solar radiation value; Parameter
γBe coefficient, its value standard is: when weather information when being fine,
γ=1; When weather information is the moon,
γ=0.5; When weather information is shower,
γ=0.6; When weather information is light rain,
γ=0.4; When weather information is moderate rain,
γ=0.3; When weather information for when raining heavyly,
γ=0.2; Other weather informations,
γ=0.0.
The characterisitic parameter of building described in the step 5 comprises: wait to regulate the size of air-conditioning place building, the construction material of waiting to regulate air-conditioning place building and the interior of building personnel rule of working and resting.
Step 5 obtain to wait to regulate following N hour of air-conditioning by the time air-conditioning load value revise by waiting the historical data of regulating air-conditioning.
Parameter comprises in the step 10 optimized operation pattern: the handpiece Water Chilling Units of waiting to regulate air-conditioning by the time platform number and the running time and the corresponding method of operation thereof of opening.
Determine in the present embodiment step 1 to wait that following N hour weather forecast regulating the air-conditioning location can determine according to medium such as meteorological observatory or website, TVs.
The historical meteorological data in following N hour described corresponding place month on date of this area described in the step 3 can obtain by meteorological observatory or website.
The intensity of solar radiation value had determined personnel in the building, equipment, new wind load and light load jointly when the personnel of interior of building described in the step 5 worked and rested pursuing of rule and step 4 acquisition; Step 4 obtain by the time intensity of solar radiation value and the common decision of size of waiting to regulate air-conditioning place building described in the step 5 wait that the transparent building enclosure of regulating air-conditioning place building loads; Wait to regulate the size of air-conditioning place building described in the step 5 and wait to regulate the construction material of air-conditioning place building and step 1 described by the time temperature the difference of maximum and temperature minimum of a value determined jointly to wait that the nontransparent building enclosure of regulating air-conditioning place building loads.
Wait described in the step 6 to regulate air-conditioning theoretical by the time load value can be by waiting to regulate air-conditioning place initial design air-conditioning department or control department obtains.
In the step 9 feasible operational mode is carried out operation energy consumption and calculate, comprise all energy consumptions with energy equipment are added up.
The optimized operation parameter of exporting in the step 10 can form form, the operation of air conditioner personnel move air-conditioning according to described form, and feed back the wet parameter of heat of each air conditioning area, if do not meet the requirements, the operations staff can carry out ratio and revise, and deposits amended result in historical data base.
Claims (6)
1. based on the method for acquiring optimum air-conditioning system operation parameters of weather forecast, it is characterized in that: it is realized by following steps:
Step 1, inquiry wait to regulate following N hour weather forecast of air-conditioning location, obtain this area following N hour temperature maximum and temperature minimum of a value;
Step 2, following N hour the temperature maximum in this area that obtains according to step 1 and temperature minimum of a value obtain following N hour of this area by the time air themperature value;
Step 3, with same month in following N hour described place month on corresponding date of this area described in the step 2 in the history meteorological data, search and the maximum temperature value on this date and immediate historical date of minimum temperature value, and with the solar radiation value on the described historical date solar radiation value as this date;
Step 4, the solar radiation value that obtains with step 3 are radix, determine following N hour of this area by the time intensity of solar radiation value;
Following N hour of step 5, this area that obtains according to step 2 by the time following N hour of air themperature value, the step 4 this area that determines by the time intensity of solar radiation value and wait to regulate air-conditioning place building characterisitic parameter, adopt the air conditioner load theory of computation obtain to wait to regulate following N hour of air-conditioning by the time air-conditioning load value;
Step 6, with step 5 obtain to wait to regulate following N hour of air-conditioning by the time air-conditioning load value regulate the Air-conditioner design load value divided by waiting, determine to wait to regulate air-conditioning by the time air-conditioning load coefficient;
Step 7, will wait to regulate the handpiece Water Chilling Units quantity of air-conditioning and the regulative mode of handpiece Water Chilling Units carries out permutation and combination, obtain all operational modes of waiting to regulate air-conditioning;
Step 8, all operational modes and the step 6 of waiting of obtaining of step 7 being regulated air-conditioning determine to wait to regulate air-conditioning by the time air-conditioning load coefficient carry out thermal equilibrium analysis, and filter out and satisfy the feasible operational mode of waiting to regulate the wet requirement of air-conditioning heat;
Step 9, satisfiedly wait to regulate the wet feasible operational mode that requires of air-conditioning heat and carry out operation energy consumption and calculate what filter out in the step 8, and the energy consumption result is compared, the feasible operational mode of selecting the energy consumption minimum for use is as the optimized operation pattern;
Parameter output in step 10, the optimized operation pattern that step 9 is obtained, the optimized operation parameter of waiting to regulate air-conditioning system that the result of described output is;
Described N is for more than or equal to 1 and be less than or equal to 24 integer.
2. the method for acquiring optimum air-conditioning system operation parameters based on weather forecast according to claim 1, it is characterized in that described in the step 2 following N hour the temperature maximum in this area that obtains according to step 1 and temperature minimum of a value obtain following N hour of this area by the time air themperature value
For:
In the formula,
t MaxBe the temperature maximum;
t MinBe the temperature minimum of a value;
For by the time air themperature value; Parameter
βBe corresponding coefficient constantly, this coefficient with corresponding relation constantly is: 1 o'clock,
β=-0.337; 2 o'clock,
β=-0.365; 3 o'clock,
β=-0.404; 4 o'clock,
β=-0.433; 5 o'clock,
β=-0.452; 6 o'clock,
β=-0.394; 7 o'clock,
β=-0.269; 8 o'clock,
β=-0.115; 9 o'clock,
β=0.029; 10 o'clock,
β=0.154; 11 o'clock,
β=0.279; 12 o'clock,
β=0.385; 13 o'clock,
β=0.462; 14 o'clock,
β=0.500; 15 o'clock,
β=0.490; 16 o'clock,
β=0.413; 17 o'clock,
β=0.375; 18 o'clock,
β=0.269; 19 o'clock,
β=0.135; 20 o'clock,
β=0.000; 21 o'clock,
β=-0.096; 22 o'clock,
β=-0.163; 23 o'clock,
β=-0.221; 24 o'clock,
β=-0.250.
3. the method for acquiring optimum air-conditioning system operation parameters based on weather forecast according to claim 1 is characterized in that the described solar radiation value that obtains with step 3 of step 4 is a radix, determine following N hour of this area by the time intensity of solar radiation value
For:
In the formula:
Be this day solar radiation value; Parameter
γBe coefficient, its value standard is: when weather information when being fine,
γ=1; When weather information is the moon,
γ=0.5; When weather information is shower,
γ=0.6; When weather information is light rain,
γ=0.4; When weather information is moderate rain,
γ=0.3; When weather information for when raining heavyly,
γ=0.2; Other weather informations,
γ=0.0.
4. the method for acquiring optimum air-conditioning system operation parameters based on weather forecast according to claim 1 is characterized in that the characterisitic parameter of building described in the step 5 comprises: wait to regulate the size of air-conditioning place building, the construction material of waiting to regulate air-conditioning place building and the interior of building personnel rule of working and resting.
5. the method for acquiring optimum air-conditioning system operation parameters based on weather forecast according to claim 1, it is characterized in that step 5 obtain to wait to regulate following N hour of air-conditioning by the time air-conditioning load value revise by waiting the historical data of regulating air-conditioning.
6. the method for acquiring optimum air-conditioning system operation parameters based on weather forecast according to claim 1 is characterized in that parameter comprises in the step 10 optimized operation pattern: the handpiece Water Chilling Units of waiting to regulate air-conditioning by the time platform number and the running time and the corresponding method of operation thereof of opening.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH03195849A (en) * | 1989-12-26 | 1991-08-27 | Mitsubishi Heavy Ind Ltd | Load estimating device for air-conditioner |
JPH0821650A (en) * | 1994-07-06 | 1996-01-23 | Toshiba Corp | Building controller |
US6098893A (en) * | 1998-10-22 | 2000-08-08 | Honeywell Inc. | Comfort control system incorporating weather forecast data and a method for operating such a system |
EP1134508A2 (en) * | 2000-03-17 | 2001-09-19 | Markus Werner | Air-conditioning control method for a weather dependent building or installation area |
CN1884934A (en) * | 2005-06-23 | 2006-12-27 | 株式会社东芝 | Air conditioner control device |
CN101251289A (en) * | 2008-04-07 | 2008-08-27 | 俞天平 | Novel technique for tracing conditioned space dynamic thermal load |
-
2010
- 2010-05-28 CN CN2010101859565A patent/CN101825327B/en not_active Expired - Fee Related
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH03195849A (en) * | 1989-12-26 | 1991-08-27 | Mitsubishi Heavy Ind Ltd | Load estimating device for air-conditioner |
JPH0821650A (en) * | 1994-07-06 | 1996-01-23 | Toshiba Corp | Building controller |
US6098893A (en) * | 1998-10-22 | 2000-08-08 | Honeywell Inc. | Comfort control system incorporating weather forecast data and a method for operating such a system |
EP1134508A2 (en) * | 2000-03-17 | 2001-09-19 | Markus Werner | Air-conditioning control method for a weather dependent building or installation area |
CN1884934A (en) * | 2005-06-23 | 2006-12-27 | 株式会社东芝 | Air conditioner control device |
CN101251289A (en) * | 2008-04-07 | 2008-08-27 | 俞天平 | Novel technique for tracing conditioned space dynamic thermal load |
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