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 PDF

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CN101825327A
CN101825327A CN 201010185956 CN201010185956A CN101825327A CN 101825327 A CN101825327 A CN 101825327A CN 201010185956 CN201010185956 CN 201010185956 CN 201010185956 A CN201010185956 A CN 201010185956A CN 101825327 A CN101825327 A CN 101825327A
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CN101825327B (en
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倪龙
牛福新
姚杨
姜益强
马最良
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Harbin Institute of Technology Shenzhen
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Abstract

基于天气预报的空调系统最优运行参数获得方法，涉及一种空调系统运行参数的获得方法，解决现有的空调系统的运行参数不准确导致建筑物内温度调节质量差，以及现有的空调自动调节装置对现有空调的要求较高导致难以实施、能源浪费严重的问题。其方法是：通过天气预报结合历史气象数据，计算出未来N小时的逐时气象参数；而后依据建筑物特性参数结合逐时气象参数计算出逐时空调负荷并与设计空调负荷比较，确定出逐时负荷系数；然后将待调节空调的所有运行模式与逐时负荷系数进行热平衡分析，筛选出可行运行模式；选用能耗最小的可行运行模式作为最优运行模式并将其参数输出。本发明适用于对大型空调的运行控制。

Figure 201010185956

The method for obtaining the optimal operating parameters of the air-conditioning system based on the weather forecast relates to a method for obtaining the operating parameters of the air-conditioning system, which solves the problem of poor temperature adjustment quality in buildings caused by inaccurate operating parameters of the existing air-conditioning system, and the existing automatic air-conditioning system. The adjustment device has high requirements on the existing air conditioner, which leads to the problems of difficulty in implementation and serious waste of energy. The method is: through weather forecast combined with historical meteorological data, calculate the hourly meteorological parameters in the next N hours; then calculate the hourly air-conditioning load according to the building characteristic parameters combined with the hourly meteorological parameters and compare it with the design air-conditioning load to determine the hourly air-conditioning load. The hourly load coefficient; then all the operating modes of the air conditioner to be adjusted and the hourly load coefficient are analyzed for thermal balance, and the feasible operating mode is screened out; the feasible operating mode with the least energy consumption is selected as the optimal operating mode and its parameters are output. The invention is suitable for operation control of large air conditioners.

Figure 201010185956

Description

Method for acquiring optimum air-conditioning system operation parameters based on weather forecast
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
Figure 819774DEST_PATH_IMAGE001
For:
Figure 828181DEST_PATH_IMAGE002
In the formula, t MaxBe the temperature maximum; t MinBe the temperature minimum of a value;
Figure 881588DEST_PATH_IMAGE001
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:
Figure 887514DEST_PATH_IMAGE004
In the formula:
Figure 117638DEST_PATH_IMAGE005
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
Figure 161686DEST_PATH_IMAGE001
For:
Figure 855972DEST_PATH_IMAGE002
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
Figure 490533DEST_PATH_IMAGE003
For:
Figure 574158DEST_PATH_IMAGE004
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.基于天气预报的空调系统最优运行参数获得方法，其特征是：它由以下步骤实现：1. The air-conditioning system optimal operating parameter obtaining method based on weather forecast is characterized in that: it is realized by the following steps: 步骤一、查询待调节空调所在地区的未来N小时的天气预报，获得该地区未来N小时的温度最大值和温度最小值；Step 1. Query the weather forecast of the area where the air conditioner to be adjusted is located in the next N hours, and obtain the maximum temperature and the minimum temperature of the area in the next N hours; 步骤二、根据步骤一获得的该地区未来N小时的温度最大值和温度最小值获得该地区未来N小时的逐时空气温度值；Step 2, obtain the hourly air temperature value of the future N hours in this region according to the temperature maximum value and temperature minimum value in the future N hours in the region obtained in step 1; 步骤三、在与步骤二中所述该地区未来N小时所述对应日期所在月份的同月份历史气象资料中，查找与该日期的最高温度值和最低温度值最接近的历史日期，并将所述历史日期的太阳辐射值作为该日期的太阳辐射值；Step 3, in the historical meteorological data of the same month as the month corresponding to the date described in the next N hours of the region described in step 2, find the historical date closest to the maximum temperature value and the minimum temperature value of the date, and put all The solar radiation value of the above-mentioned historical date is used as the solar radiation value of the date; 步骤四、以步骤三获得的太阳辐射值为基数，确定该地区未来N小时的逐时太阳辐射强度值；Step 4. Determine the hourly solar radiation intensity value of the region in the future N hours based on the solar radiation value obtained in step 3; 步骤五、根据步骤二获得的该地区未来N小时的逐时空气温度值、步骤四确定的该地区未来N小时的逐时太阳辐射强度值和待调节空调所在建筑物特性参数，采用空调负荷计算理论获得待调节空调未来N小时的逐时空调负荷值；Step 5. According to the hourly air temperature value of the area in the next N hours obtained in step 2, the hourly solar radiation intensity value of the area in the next N hours determined in step 4, and the characteristic parameters of the building where the air conditioner is to be adjusted, the air conditioning load is used to calculate Theoretically obtain the hourly air conditioner load value of the air conditioner to be adjusted in the next N hours; 步骤六、将步骤五获得待调节空调未来N小时的逐时空调负荷值除以待调节空调设计负荷值，确定待调节空调的逐时空调负荷系数；Step 6, divide the hourly air conditioner load value of the air conditioner to be adjusted in the next N hours obtained in step 5 by the design load value of the air conditioner to be adjusted, and determine the hourly air conditioner load factor of the air conditioner to be adjusted; 步骤七、将待调节空调的冷水机组数量和冷水机组的调节方式进行排列组合，获得待调节空调的所有运行模式；Step 7. Arranging and combining the number of chillers of the air conditioner to be adjusted and the adjustment mode of the chiller to obtain all operating modes of the air conditioner to be adjusted; 步骤八、将步骤七获得的待调节空调的所有运行模式与步骤六确定待调节空调的逐时空调负荷系数进行热平衡分析，并筛选出满足待调节空调热湿要求的可行运行模式；Step 8. Perform heat balance analysis of all the operating modes of the air conditioner to be adjusted obtained in step 7 and the hourly air conditioner load coefficient of the air conditioner to be adjusted in step 6, and select a feasible operation mode that meets the heat and humidity requirements of the air conditioner to be adjusted; 步骤九、对步骤八中筛选出的满足待调节空调热湿要求的可行运行模式进行运行能耗计算，并对能耗结果进行比较，选用能耗最小的可行运行模式作为最优运行模式；Step 9: Calculate the operating energy consumption of the feasible operating modes that meet the heat and humidity requirements of the air conditioner to be adjusted selected in step 8, compare the results of energy consumption, and select the feasible operating mode with the smallest energy consumption as the optimal operating mode; 步骤十、将步骤九获得的最优运行模式中参数输出，所述输出的结果即为的待调节空调系统的最优运行参数；Step 10. Output the parameters in the optimal operating mode obtained in step 9, and the output result is the optimal operating parameter of the air-conditioning system to be adjusted; 所述N为大于或等于1且小于或等于24的整数。The N is an integer greater than or equal to 1 and less than or equal to 24. 2.根据权利要求1所述的基于天气预报的空调系统最优运行参数获得方法，其特征在于步骤二中所述根据步骤一获得的该地区未来N小时的温度最大值和温度最小值获得该地区未来N小时的逐时空气温度值
Figure 2010101859565100001DEST_PATH_IMAGE001
为：2. The method for obtaining optimal operating parameters of an air-conditioning system based on weather forecast according to claim 1, wherein said in step 2 obtains the temperature maximum value and the temperature minimum value in the future N hours of this region obtained according to step 1. The hourly air temperature value of the region in the next N hours
Figure 2010101859565100001DEST_PATH_IMAGE001
for:
Figure 535214DEST_PATH_IMAGE002
Figure 535214DEST_PATH_IMAGE002
 式中，t max为温度最大值；t min为温度最小值；
Figure 75523DEST_PATH_IMAGE001
为逐时空气温度值；参数β是对应时刻的系数，该系数与时刻的对应关系为：1时，β=-0.337；2时，β=-0.365；3时，β=-0.404；4时，β=-0.433；5时，β=-0.452；6时，β=-0.394；7时，β=-0.269；8时，β=-0.115；9时，β=0.029；10时，β=0.154；11时，β=0.279；12时，β=0.385；13时，β=0.462；14时，β=0.500；15时，β=0.490；16时，β=0.413；17时，β=0.375；18时，β=0.269；19时，β=0.135；20时，β=0.000；21时，β=-0.096；22时，β=-0.163；23时，β=-0.221；24时，β=-0.250。In the formula, t max is the maximum value of temperature; t min is the minimum value of temperature;
Figure 75523DEST_PATH_IMAGE001
is the hourly air temperature value; the parameter β is the coefficient corresponding to the moment, and the corresponding relationship between the coefficient and the moment is: 1 hour, β =-0.337; 2 hour, β =-0.365; 3 hour, β =-0.404; 4 hour , β =-0.433; 5, β =-0.452; 6, β =-0.394; 7, β =-0.269; 8, β =-0.115; 9, β =0.029; 10, β = 0.154; at 11, β =0.279; at 12, β =0.385; at 13, β =0.462; at 14, β =0.500; at 15, β =0.490; at 16, β =0.413; at 17, β =0.375 ; at 18, β = 0.269; at 19, β = 0.135; at 20, β = 0.000; at 21, β = -0.096; at 22, β = -0.163; at 23, β = -0.221; at 24, β =-0.250. 3.根据权利要求1所述的基于天气预报的空调系统最优运行参数获得方法，其特征在于步骤四所述的以步骤三获得的太阳辐射值为基数，确定该地区未来N小时的逐时太阳辐射强度值
Figure 2010101859565100001DEST_PATH_IMAGE003
为：3. the air-conditioning system optimal operating parameter obtaining method based on weather forecast according to claim 1, is characterized in that the solar radiation value obtained with step 3 described in step 4 is a base number, and determines the hourly rate of N hours in the future in this area Solar radiation intensity value
Figure 2010101859565100001DEST_PATH_IMAGE003
for: 式中：
Figure 2010101859565100001DEST_PATH_IMAGE005
为该日太阳辐射值；参数γ是系数，其取值标准为：当气象信息为晴时，γ=1；当气象信息为阴时，γ=0.5；当气象信息为阵雨时，γ=0.6；当气象信息为小雨时，γ=0.4；当气象信息为中雨时，γ=0.3；当气象信息为大雨时，γ=0.2；其他气象信息，γ=0.0。In the formula:
Figure 2010101859565100001DEST_PATH_IMAGE005
is the solar radiation value of the day; the parameter γ is a coefficient, and its value standard is: when the weather information is sunny, γ =1; when the weather information is cloudy, γ =0.5; when the weather information is showers, γ =0.6 ; when the weather information is light rain, γ =0.4; when the weather information is moderate rain, γ =0.3; when the weather information is heavy rain, γ =0.2; for other weather information, γ =0.0. 4.根据权利要求1所述的基于天气预报的空调系统最优运行参数获得方法，其特征在于步骤五中所述建筑物特性参数包括：待调节空调所在建筑物的尺寸、待调节空调所在建筑物的建筑材料和建筑物内部人员作息规律。4. The method for obtaining optimal operating parameters of an air-conditioning system based on weather forecasts according to claim 1, wherein the building characteristic parameters described in step 5 include: the size of the building where the air-conditioner is to be adjusted, the building where the air-conditioner is to be adjusted The building materials of the building and the work and rest rules of the people inside the building. 5.根据权利要求1所述的基于天气预报的空调系统最优运行参数获得方法，其特征在于步骤五获得待调节空调未来N小时的逐时空调负荷值通过待调节空调的历史数据进行修正。5. The method for obtaining optimal operating parameters of an air-conditioning system based on weather forecast according to claim 1, characterized in that step 5 obtains the hourly air-conditioning load value of the air-conditioner to be adjusted in the future N hours and corrects it through the historical data of the air-conditioner to be adjusted. 6.根据权利要求1所述的基于天气预报的空调系统最优运行参数获得方法，其特征在于步骤十最优运行模式中参数包括：待调节空调的冷水机组逐时开启的台数及运行时间及其对应的运行方式。6. The method for obtaining the optimal operating parameters of an air-conditioning system based on weather forecasts according to claim 1, wherein the parameters in the step ten optimal operating mode include: the number and running time of the water chillers to be adjusted for air conditioning to be turned on hourly and its corresponding mode of operation.
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