CN101975436B - Energy-saving control method for water-side equipment of air-conditioning system - Google Patents

Abstract

The invention discloses an energy-saving control method for water side equipment of an air conditioning system, which aims at energy-saving control of the water side equipment of the air conditioning system, wherein the water side equipment of the air conditioning system comprises at least one ice water host, at least one cooling tower and a plurality of water pumps, and the method comprises the following steps: performing regression analysis on the power consumption performance of the ice water main machine; cooling water tower performance regression analysis; performing regression analysis on the operation performance of the water pump; establishing a system and performing numerical optimization calculation; controlling according to each operating parameter, and feeding back and verifying the controlled operating data; through the energy-saving control method, the energy-saving control mode of the water side equipment of the air conditioning system can be established through the regression analysis model and the optimization algorithm, and the energy-saving control method has the advantages of considering the energy consumption of the whole system, automatically feeding back control, self-correcting coefficients and no need of additionally developing hardware equipment.

Description

Energy-saving control method for water-side equipment of air-conditioning system

technical field

The invention relates to an energy-saving control method for water-side equipment of an air-conditioning system, in particular to a water-side equipment such as ice water hosts, cooling towers, and water pumps, which uses an optimization algorithm to calculate the best energy consumption state of each equipment in the overall air-conditioning system According to the operating parameters under the control system, and then adjust the operating status of each device to obtain a control method that optimizes the overall energy-saving effect.

Background technique

As far as public places such as office buildings, department stores, factories, stores, stations, airports, and restaurants are concerned, the air-conditioning systems used are almost always based on chilled water host systems; according to statistics, during peak power consumption hours in summer , the electricity consumption of the air-conditioning system accounts for about 60% of the total electricity consumption of an office building. Taking a NT$15 million chilled water air-conditioning system as an example, it can be used under proper maintenance The lifespan can be up to 20 years, and the total electricity cost during these 20 years is estimated to be about NT$150 million, which is about ten times the investment in the chilled water air-conditioning system.

Since the power consumption of large-scale air-conditioning equipment systems is quite large, accounting for the highest proportion of power consumption in the office environment, if energy-saving control can be carried out for this part, it will have a significant power-saving effect and save considerable electricity expenses for users , This move is also in line with the environmental protection trend of energy saving and carbon reduction.

According to the Taiwan Energy Statistical Annual Report, there are more than 3,000 air-conditioning and chilled water units installed by government departments and units. Although there is no clear statistics on the number of air-conditioned chilled water units installed by private enterprises and public places, according to the industry According to statistics, there are at least more than 30,000 units. Therefore, both official and industry statistics show that the number of air conditioners in the public and private sectors is quite large, and the power consumption is extremely considerable. Therefore, if energy can be saved control, excellent results will be obtained.

According to research, in the analysis of power consumption of large-scale refrigeration and air-conditioning systems, air-side or load-side equipment accounts for about 20%, ice water delivery equipment accounts for about 20%, and ice water host equipment accounts for about 60%. Therefore, the power consumption of water-side equipment in the air-conditioning system accounts for about 80% of the overall system. If energy-saving control is carried out for these water-side equipment, it can directly control the key points and obtain significant results.

Generally speaking, the water-side equipment of the chiller air-conditioning system mainly includes: chiller main engine, cooling water tower, and water pump. The current situation in the relevant industry is that these equipments have their own investment and professional manufacturers. For the purpose of energy saving, the manufacturers Each of them invests in improving the efficiency of their equipment. However, the improvement of individual operating efficiency of each equipment does not represent the optimization of the performance of the overall air conditioning system.

The current chiller air-conditioning system faces many problems in the use and progress of energy-saving control, especially because each equipment comes from different suppliers, and thus lacks an overall energy-saving design. There are indeed complicated problems in the field. After preliminary analysis, the main problems are as follows:

1. At present, regardless of whether energy-saving projects are carried out in domestic air-conditioning systems, most of them are controlled by manual operation and adjustment, and the dynamic air-conditioning load and external air changes cannot be kept up by humans at any time;

2. The chilled water host group does not perform correct unloading and distribution according to the actual load of the system, or the chilled water hosts are switched on and off based on the average distribution calculation; or the power consumption (P _sys ) is minimized only based on the system load (Q _sys ) The unloading amount (PLRi) of n hosts is assigned by numerical analysis, and due to the complexity of the unloading amount control of each brand, no automatic practice is carried out, such as

$\mathrm{<span\; class="notranslate">\; min</span>}{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; sys</span>}}<span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; ch</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; i</span>}}$

st.P _ch.i =a _0.i +a _1.i ×PLR _i +a _2.i ×PLR _i ²

${\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; sys</span>}}<span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}}{\mathrm{<span\; class="notranslate">\; PLR</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; \&times;</span>{\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; ch</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; i</span>}}$

Wherein, a0, a1, and a2 are regression adaptation coefficients; or, the operation of the host computer is switched by comparing with the load combination table of the computer group in advance. However, the dynamic change of the load cannot be strictly practiced manually, and this mode is only limited to the power demand of the main chiller;

4. The ice water host is the device that consumes the most electricity, while the cooling water tower is the equipment that affects its performance, and the dynamic changes of the external air conditions have a significant impact on energy consumption. At present, there is a method of running at a fixed cooling tower fan speed, which can only eliminate the power consumption caused by over-specified design; or a method of trying to obtain the lowest possible approach temperature by using the wet bulb temperature, which causes the main engine The reduction of power consumption but the increase of cooling tower power consumption results in no reduction in combined power consumption; or there is a regression adaptation (Regression fitting) based on the performance curve of the chilled water host and the external air wet bulb temperature conditions to calculate the minimum power consumption Electricity method, but this method does not have the group operation analysis and control of the performance characteristics of different brands of equipment to obtain the lowest power consumption for the real overall operation;

5. The power consumption of the chilled water pump is inferior to that of the chilled water main engine. Nowadays, it is common to install a differential pressure gauge on the most remote air-conditioning equipment such as an air conditioner (Air Handling Unit, AHU), an external air processor (Make_up Air Unit, MAU), etc. At the same time, trying to reduce the load of the water pump by using a fixed set pressure difference with the frequency converter often fails to meet the actual dynamic load requirements because the set value is too small, and increasing the set value in order to avoid this problem will result in discounted energy saving results The problem;

6. The power consumption of the cooling water pump has a great influence depending on the layout of the system pipeline, which is no less than the power of the ice water pump. Usually, a frequency converter is used in conjunction with an attempt to reduce power consumption. Although the existence of the static water head in the system cannot be deducted carefully. Substantial energy saving, but may eliminate power consumption caused by over specified design;

7. There is no overall system concept for energy saving. For example, if individual high-efficiency equipment is used, although individual equipment achieves the lowest energy consumption, it may not be able to achieve the lowest overall energy consumption under the operation of other equipment;

8. Lack of an integrated energy management system, and only conduct power consumption analysis and management control on individual devices independently. For example, the performance change or aging (Aging) caused by poor equipment maintenance is not reflected in the management system. For example, the COP of individual hosts can be seen, but the overall chiller plant (Chiller plant) COP trend should be an early indicator of management ( performance Index in leading).

Therefore, if relevant researchers can develop an energy-saving control method for the water-side equipment of the air-conditioning system to solve the problems in the operation of the above-mentioned air-conditioning system, it can further meet the trend of energy-saving and carbon reduction and obtain the integrity of the air-conditioning system Energy-saving control effect, that is, the invention of energy-saving is derived from the thinking of the overall COP.

Contents of the invention

In order to solve the above-mentioned deficiencies in the energy-saving control of the water-side equipment of the current air-conditioning system, the main purpose of the present invention is to provide an energy-saving control method for the water-side equipment of the air-conditioning system, especially a method for chilled water hosts, cooling towers, For water-side equipment such as water pumps, the optimal algorithm is used to calculate the operating parameters of each equipment in the optimal energy consumption state of the overall air-conditioning system, and then adjust the operating status of each equipment to obtain the water-side equipment of the air-conditioning system that optimizes the overall energy-saving effect Energy saving control method.

In order to achieve the above-mentioned purpose, the water-side equipment energy-saving control method of the air-conditioning system of the present invention performs real-time automatic energy-saving control and unloading and switching (staging) of the chilled water host for the water-side equipment of the air-conditioning system. The water-side equipment of the air-conditioning system includes at least one Chilled water host, at least one cooling water tower and multiple water pumps, the energy-saving control method includes:

Step A: Regression analysis of the power consumption performance of the chilled water host. The power consumption of the chilled water host is a function of three variables: unloading rate, cooling water temperature, and chilled water outlet temperature. The nominal parameters are used as the basis for power consumption calculations, and the data is extracted and screened Based on database data or relevant parameters provided by the ice water machine manufacturer, a regression equation is established, and the power consumption value of the ice water machine in the actual non-nominal operating state is corrected and calculated;

Step B: Regression analysis of cooling tower performance, establishing the Merkel equation for heat and mass transfer between cooling water and external air, and establishing the number of heat transfer units (NTU) and water-air ratio (L/ G) product design data, and then calculate the coefficients and indices in the equation;

Step C: Regression analysis of water pump operation performance, obtaining water pump operation data to establish a regression equation, and then establishing a flow-head (Q-H) performance curve according to the regression equation as the performance curve of the water pump, and obtaining various coefficients through regression calculation, and through the system The operation line and similar laws can obtain the new speed under the given flow demand, and then issue the operation command of the inverter;

Step D: System establishment and numerical optimization calculation, extracting data from the regression analysis of power consumption performance of the ice water host, cooling tower performance, and water pump operation performance into the minimum total power consumption function of the system to analyze and obtain the system operating parameters where total power consumption is minimized;

Step E: Control according to various operating parameters, and feed back the controlled operation data and store the operation database.

Through the above method, the following advantages can be obtained in terms of energy-saving control of the water-side equipment of the air-conditioning system:

1. Combining the method of the present invention with energy-saving control devices and software can achieve the efficiency of automatic operation and reduce the input and management of manpower;

2. According to the actual load, it can analyze and distribute the unloading capacity of each ice water host in an optimized mode, so that it can operate with high efficiency;

3. Establish the performance mathematical model of the system, including the performance analysis of the ice water main engine, cooling water tower, and water pump, and control according to the refrigeration load of the equipment, external air conditions and enthalpy balance to calculate the operating parameters of each equipment to achieve the overall system Minimum power consumption;

4. Develop an energy management system from an integrated point of view. In addition to monitoring, recording and analyzing the power consumption of individual equipment, it can also integrate the performance coefficient of the total equipment and the trend of total energy consumption, which can be applied to early management indicators.

Therefore, the water-side equipment energy-saving control method of the air-conditioning system of the present invention, combined with related equipment for energy-saving control operations currently on the market, can solve the deficiencies and defects of the current air-conditioning system in terms of energy-saving control, not only does not need to develop additional hardware equipment, but also can improve the actual The convenience and feasibility of operation, and the energy-saving efficiency of the air-conditioning system can be improved through this energy-saving control method, which is undoubtedly novel and progressive.

Description of drawings

Fig. 1 is a flow chart of the method for energy-saving control of water-side equipment of an air-conditioning system according to the present invention.

Fig. 2 is a detailed method flow chart of Step A of the method for energy-saving control of water-side equipment of an air-conditioning system according to the present invention.

Fig. 3 is a detailed method flow chart of Step B of the method for energy-saving control of water-side equipment of an air-conditioning system according to the present invention.

Fig. 4 is a detailed method flow chart of Step C of the method for energy-saving control of water-side equipment of an air-conditioning system according to the present invention.

Fig. 5 is a detailed method flow chart of step D of the method for energy-saving control of water-side equipment of an air-conditioning system according to the present invention.

Description of main component symbols

(11): Step A

(111): Step A1

(112): Step A2

(113): Step A3

(114): Step A4

(12): Step B

(121): Step B1

(122): Step B2

(123): Step B3

(124): Step B4

(125): Step B5

(126): Step B6

(13): Step C

(131): Step C1

(132): Step C2

(133): Step C3

(134): Step C4

(135): Step C5

(136): Step C6

(137): Step C7

(138): Step C8

(14): Step D

(141): Step D1

(142): Step D2

(143): Step D3

(144): Step D4

(145): Step D5

(15): Step E

Detailed ways

In order to make those skilled in the art understand the purpose of the present invention, preferred embodiments of the present invention are described in detail as follows with reference to the accompanying drawings.

Referring to Fig. 1, the water-side equipment energy-saving control method of the air-conditioning system of the present invention is aimed at the instant and automatic energy-saving control and unloading and switching (staging) of the water-side equipment of the air-conditioning system. The water-side equipment of the air-conditioning system includes At least one chilled water host, at least one cooling water tower and multiple water pumps, the energy-saving control method includes:

Step A (11): Regression analysis of the power consumption performance of the chilled water host. The power consumption of the chilled water host is a function of three variables: unloading rate, cooling water temperature, and chilled water outlet temperature. The nominal parameters are used as the basis for power consumption calculation, and the extracted And filter the database data or the relevant parameters provided by the chilled water host manufacturer, establish the regression fitting (Fitting) equation, and correct and calculate the power consumption value of the chilled water host in the actual non-nominal operating state;

Step B (12): Regression analysis of cooling tower performance, establishing the Merkel equation for heat and mass transfer between cooling water and external air, and establishing the number of heat transfer units (NTU) and water-air ratio through the Michael equation (L/G) product design adaptation data, and then calculate the coefficients and indices in the equation;

Step C (13): Water pump operation performance regression analysis, obtaining water pump operation data to establish a regression equation, and then establishing a flow-head (Q-H) performance curve according to the regression equation as the performance curve of the water pump, and obtaining each coefficient by regression calculation, and Through the system operation line and similar laws, the new speed is obtained under the given flow demand, and then the inverter operation command is issued;

Step D (14): System establishment and numerical optimization calculation, extract the data of regression analysis of power consumption performance of chilled water host, cooling tower performance, and water pump operation performance into the minimum total power consumption function of the air conditioning system to analyze , Obtain various operating parameters of the system when the total power consumption is the smallest;

Step E (15): Control according to various operating parameters, and feed back the controlled operation data and store the operation database.

Referring to Fig. 1 and shown in Fig. 2, further illustrate for step A (11) below, this step A (11) further comprises:

Step A1 (111): Using the nominal parameters as the basis for calculating power consumption, extract and screen the relevant parameters of the database data, wherein the parameters include the nominal and actual operating evaporator outlet water temperature, condenser water inlet temperature, and load rate and power consumption;

Step A2 (112): The full-load capacity and power demand of the chilled water main engine vary with the operating chilled water outlet temperature, cooling water inlet temperature and unloading capacity. No chilled water main engine can operate under the nominal design parameter conditions, so it must be There are relevant correction coefficients for correction; it is implemented by establishing a regression equation and calculating the coefficients of each regression equation, wherein the regression equation includes:

E _cap = Q _Fo ÷ Q _Fn

E _cap is a function of the ice water outlet temperature and cooling water temperature deviating from the nominal temperature value, and is calculated by the double quadratic equation as follows:

${\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; cap</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; f</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 4</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 5</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 6</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}$

Among them, E _cap is the correction coefficient of full-load refrigeration capacity;

Q _Fo is the full-load refrigeration capacity at the actual operating temperature;

Q _Fn is the nominal freezing capacity;

ΔT ₁ is the difference between the nominal evaporator outlet water temperature and the actual evaporator outlet water temperature of the chilled water host;

ΔT ₂ is the difference between the nominal condenser inlet water temperature and the actual condenser inlet water temperature of the chilled water host;

E _pow ＝ P _Fo ÷ P _Fn

E _pow is a function of the ice water outlet temperature and the cooling water temperature deviating from the nominal temperature value, and is calculated by the double quadratic equation as follows:

${\mathrm{<span\; class="notranslate">\; E.</span>}}_{\mathrm{<span\; class="notranslate">\; pow</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; f</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; ,</span>\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 3</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 4</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 5</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; b</span>}}_{\mathrm{<span\; class="notranslate">\; 6</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}\mathrm{<span\; class="notranslate">\; \&Delta;</span>}{\mathrm{<span\; class="notranslate">\; T</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}$

Among them, E _pow is the power coefficient under non-nominal full-load refrigeration capacity;

P _Fo is the full load power consumption at the actual operating temperature;

P _Fn is the nominal full load power consumption;

ΔT ₁ is the difference between the nominal evaporator outlet water temperature and the actual evaporator outlet water temperature of the chilled water host;

ΔT ₂ is the difference between the nominal condenser inlet water temperature and the actual condenser inlet water temperature of the chilled water host;

E _partial ＝P _partial.o ÷P _Fo

E _partial is a function of the unloading rate, calculated as a quadratic equation as follows:

E _partial ＝f(PLR)＝c ₀ +c ₁ ×PLR+c ₂ ×PLR ²

Among them, E _partial is the power consumption ratio of partial load;

P _partial.o is the actual partial load power consumption;

P _Fo is the non-nominal actual full-load power consumption;

PLR is the unloading rate;

PLR = Q _ch ÷ Q _Fo = Q _ch ÷ (Q _Fn × E _cap );

Q _ch is the actual operating freezing capacity of the ice machine;

P _n is the full load power consumption under the nominal state;

Step A3 (113): According to the actual operating data, the following formula is used to correct and calculate the power consumption value under the operating state

P _ch ＝E _cap ×E _pow ×E _partial ×P _Fn

Among them, P _ch is the power consumption value of the chilled water host in the running state;

Step A4 (114): Verify that each regression fit coefficient is validated by a statistical t-test, otherwise return to step A1 (111);

Wherein, the step A (11) can store the actual measurement values of various parameters in the operation database within a predetermined time, and perform self-correction coefficients on the coefficients of each regression equation according to this database, and update each regression equation in real time, To improve the reliability of the ice water host power consumption performance regression analysis of the step A (11);

Referring to Fig. 1 and shown in Fig. 3, further illustrate for step B (12) below, this step B (12) further comprises:

Step B1 (121): Establishing the Merkel Equation for heat transfer and mass transfer between cooling water and external air

$\mathrm{<span\; class="notranslate">\; NTU</span>}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; K</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}}\mathrm{<span\; class="notranslate">\; V</span>}<span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; L</span>}<span\; class="notranslate">\; =</span>{<span\; class="notranslate">\; \&Integral;</span>}_{\mathrm{<span\; class="notranslate">\; t</span>}\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; t</span>}\mathrm{<span\; class="notranslate">\; 2</span>}}\frac{{\mathrm{<span\; class="notranslate">\; C</span>}}_{\mathrm{<span\; class="notranslate">\; p</span>}}}{{\mathrm{<span\; class="notranslate">\; h</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; h</span>}}_{\mathrm{<span\; class="notranslate">\; a</span>}}}\mathrm{<span\; class="notranslate">\; dt</span>}$

Among them, NTU is the number of heat transfer units;

K _a V/L is the characteristic value of cooling water tower;

C _p is the specific heat value of cooling water;

h' is the air film enthalpy (Enthalpy) value on the water droplet surface;

h _a is the enthalpy value of humid air;

t is the water temperature in the water tower;

Step B2 (122): Relevant parameters are extracted from the database and substituted into the Michael's equation, wherein the parameters include the water temperature at the inlet and outlet of the cooling tower, the wet and dry bulb temperature of the outside air, the circulating water volume of the cooling tower, and the air flow;

Step B3 (123): obtain the heat transfer unit value of each group of data by numerical integration method, in this embodiment, use trapezoidal numerical approximate integration method;

Step B4 (124): On the premise of calorific value balance, establish the following operating characteristic relation

K _a V/L＝C×(L/G) ^-n

Among them, K _a V/L is the characteristic value of cooling water tower;

L/G is the water-air ratio;

C, -n is the coefficient and index obtained by the test;

Step B5 (125): establishing an adaptation data table of NTU and L/G;

Step B6 ( 126 ): Regress to calculate the values of C and -n.

Referring to Fig. 1 and shown in Fig. 4, further description for step C (13) below, this step C (13) further comprises:

Step C1 (131): Obtain the pump operation or test data, establish the flow-head (QH) performance curve according to the following formula (1), and obtain the adaptation coefficients a ₂ , a ₁ , and a ₀ by regression calculation,

H _D ＝a ₂ Q _D ² +a ₁ Q _D +a ₀ ......(1)

Among them, _HD is the design head;

Q _D is the design flow;

Step C2 (132): Obtain the design head and design flow of the pump to construct the design operation line H _D = k _D × Q _D ² of the pump and the matching system. If there is a static head, let the static head be H _s , then H _D =k _D ×Q _D ² +H _s , and obtain the coefficient value k _D ;

Step C3 (133): Obtain on-site feedback real-time differential pressure data (ΔP) and pump motor operating frequency (H _Z ), the ratio of operating frequency (H _Z ) to the nominal frequency is the speed ratio (ω _s ), and the water pump differential pressure (ΔP) is equal to the pump output head (H);

Step C4 (134): Bring the similarity law into the formula (1) to get the pump flow rate

Among them, Q is the instant flow, that is, the water demanded by the system;

Step C5 (135): Substituting the coefficient values a ₂ , a ₁ , a ₀ obtained in step C1 (131) and the real-time data H and ω _s obtained in step C3 (133) into the water pump equation in step C4 (134) , get the instant flow Q;

Step C6 (136): Substituting the k _D value obtained in step C2 (132) and the Q value obtained in step C5 (135) into the _HD of step C2 (132) to obtain the H'value;

Step C7 (137): Construct another water pump equation with the similarity law

${\mathrm{<span\; class="notranslate">\; \&omega;</span>}}_{\mathrm{<span\; class="notranslate">\; the\; s</span>}}<span\; class="notranslate">\; =</span>\frac{<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\mathrm{<span\; class="notranslate">\; Q</span>}<span\; class="notranslate">\; -</span>\sqrt{{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}\mathrm{<span\; class="notranslate">\; Q</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 4</span>}{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}{\mathrm{<span\; class="notranslate">\; Q</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; h</span>}}^{<span\; class="notranslate">\; \&prime;</span>}<span\; class="notranslate">\; )</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}{\mathrm{<span\; class="notranslate">\; a</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}}$

And a ₀ , a ₁ , a ₂ obtained in step C1 (131), Q obtained in step C5 (135), and H′ obtained in step C6 (136) are substituted into the water pump equation to obtain Get the new speed ratio, and then find the new motor operating frequency;

Step C8 ( 138 ): issue a water pump drive motor inverter operation command with the new motor operation frequency.

Referring to Fig. 1 and shown in Fig. 5, further illustrate for step D (14) below, this step D (14) further comprises:

Step D1 (141): Extract data from regression analysis of power consumption performance of chilled water main engine, regression analysis of cooling tower performance, and regression analysis of water pump operation performance, and substitute them into the minimum total power consumption function of the air conditioning system

$\mathrm{<span\; class="notranslate">\; min</span>}<span\; class="notranslate">\; .</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; kw</span>}}<span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; \&Sigma;</span>}}<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; ch</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; p</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; P</span>}}_{\mathrm{<span\; class="notranslate">\; ct</span>}<span\; class="notranslate">\; .</span>\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; )</span>$

Among them, P _kw is the function of the minimum total power consumption value of the air-conditioning ice water plant system;

P _ch is the power consumption value of the ice water host;

P _p is the power consumption value of the water pump;

P _ct is the power consumption value of the cooling water tower;

The i subscript refers to each ice water machine, pump, and cooling water tower;

Step D2 (142): Establish relevant constraints on the total power consumption function according to the air-conditioning system architecture, the constraints include:

1. The heat absorbed by the cooling load of the ice water main engine and the heat generated by the input work and the input work of the cooling pump must be equal to the heat taken away by the cooling water tower;

2. The NTU value of the heat transfer unit is equal to the operating characteristic value of the cooling water tower;

3. The sum of the refrigeration energy provided by all chilled water hosts must be equal to the refrigeration capacity required by the air conditioning system load;

4. The load unloading rate of the ice water main engine, the flow rate of ice water and cooling water, and the temperature of ice water and cooling water must be within the normal operating range. ;

5. The operation of the water pump is within the normal design operation range, which complies with the product specification, and the addition and subtraction machine is driven out of the range;

6. The windmill of the cooling water tower operates within the normal operating range, and this range complies with the product specifications, and the addition and subtraction machine is prompted if it exceeds the range;

7. The outlet water temperature of the cooling water tower is 3 degrees Celsius higher than the critical value of the wet bulb temperature of the outside air, that is, the approaching temperature is greater than 3 degrees Celsius;

8. The amount of cooling water is equal to the sum of the chilling load, input work and input work of the cooling water pump divided by the product of the water specific heat and the maximum water temperature difference; the amount of cooling water shall not be less than the minimum flow rate allowed by the smallest ice water host.

Step D3 (143): Extract the temperature and flow rate of the ice water outlet and inlet water, and calculate the refrigeration load of the air conditioner through the conversion of the refrigeration ton heat. Level average specific heat Cp;

Step D4 (144): Assuming the fan speed of the cooling water tower, calculate the minimum total power consumption function of the air conditioning system from the function of step D1 and the constraints of step D2 and step D3 with the numerical analysis minimization calculation method, and obtain the distribution of each chilled water host Unloading value, cooling water inlet and outlet temperature, water pump speed and total power consumption value;

Step D5 (145): Create a data table with the calculation results of the relative cooling water temperature at different cooling tower fan speeds, so that the power is a quadratic function of the cooling water temperature. Differentiate this function to obtain the lowest total system power consumption value The cooling water temperature operating parameter is converted into a temperature control reset command.

Based on the above, the energy-saving control method of the water-side equipment of the air-conditioning system of the present invention can be equipped with external measuring devices such as electric meters, thermometers, pressure gauges, flow meters, and external temperature and humidity meters to obtain the operation-related data of each equipment, so as to perform various tasks. Regression analysis and calculation of the power consumption performance of the equipment, obtaining various regression adaptation coefficients and various values needed to construct the system model, and then performing calculations to minimize the total power consumption of the overall air-conditioning system, and obtaining the operation of each equipment Parameters, and control commands are issued according to each operating parameter, so that the overall air-conditioning system can obtain the efficiency of minimizing the overall power consumption under the control of the energy-saving control method for water-side equipment of the air-conditioning system of the present invention.

In addition, in the control process of the water-side equipment energy-saving control method of the air-conditioning system of the present invention, the coefficients of the regression analysis of the power consumption performance of each equipment are automatically corrected according to the actual operating status of each equipment in a predetermined period, The regression model of each equipment is updated according to the actual operating status of the equipment, and various operating parameters are obtained by further calculation based on the updated regression model, thereby making the issued control instructions closer to the actual operating conditions, Thereby, the efficiency of energy-saving control is improved.

Therefore, through the energy-saving control method of the water-side equipment of the air-conditioning system of the present invention, the energy consumption of the whole system can be considered by controlling the chilled water host, cooling tower, water pump and other equipment, and the optimal algorithm can be used to calculate the energy consumption of each equipment in the whole system. The operating parameters of the air conditioning system in the best energy consumption state, that is to say, calculate the operating parameters that minimize the energy consumption of the overall air conditioning system, and use the operating parameters as control instructions to automatically control various equipment to meet the load requirements of the air conditioning system , operate in the most energy-efficient operating mode.

In summary, the above are only preferred embodiments of the present invention, and cannot limit the scope of the present invention with this; all simple equivalent changes and modifications made according to the patent scope of the present invention and the content of the description of the invention should still be It belongs to the scope covered by the patent of the present invention.

Claims (10)

1. air-conditioning system water side apparatus energy-saving control method; Carry out the Energy Saving Control of instant automation and the unloading and the switch (Staging) of ice water host computer to air-conditioning system water side apparatus; This air-conditioning system water side apparatus comprises at least one ice water host computer, at least one cooling tower and a plurality of water pump, and this energy-saving control method includes:

Steps A: ice water host computer power consumption performance regression analysis; The ice water host computer power consumption is the function of unloading rate, cooling water temperature and three parameters of frozen water leaving water temperature; Calculate the basis with nominal parameters as power consumption; The relevant parameter that acquisition and screening data bank data or ice water host computer manufacturer provide; Set up regression equation, and revise and calculate the power consumption value of this ice water host computer under the non-nominal operating condition of reality;

Step B: cooling tower performance regression analysis; Set up that cooling water and outer gas conduct heat and the Mike of mass transfer that equation (Merkel Equation); Set up the commodity design data of hot transmission unit number (NTU) and WGR (L/G) and then coefficient in the calculation equation and index through your equation of this Mike;

Step C: pump operation performance regression analysis; Obtain the pump operation data and set up regression equation; Set up the performance curve of flow-lift (Q-H) performance curve according to this regression equation again as water pump; And try to achieve each coefficient by regression Calculation, and under set traffic demand, try to achieve new rotating speed through system's operation line and similarity law, and then assign frequency converter running instruction;

Step D: system sets up and the numerical value optimization is calculated; The minimum total power consumption function of data substitution air-conditioning system of the regression analysis of acquisition ice water host computer power consumption performance, the regression analysis of cooling tower performance, the regression analysis of pump operation performance is to analyze, to obtain the operations parameter of system under the situation that total power consumption is a minimum;

Step e: control according to the operations parameter, and the service data after will controlling is carried out the data feedback and stored the running data bank.

2. air-conditioning system water side apparatus energy-saving control method as claimed in claim 1, wherein, this steps A further comprises:

Steps A 1: calculate the basis with nominal parameters as power consumption, acquisition and screening data bank data relevant parameter;

Steps A 2: set up regression equation and calculate the coefficient of each regression equation, wherein, this regression equation comprises:

E _cap＝Q _F.o÷Q _F.n

E _CapFor frozen water leaving water temperature and cooling water temperature depart from the function of nominal temperature value, calculate as follows with the biquadrate formula:

$E_{\mathrm{cap}}=f(\mathrm{\&Delta;}{T}_1,\mathrm{\&Delta;}{T}_2)=a_0+a_1\mathrm{\&Delta;}{T}_1+a_2\mathrm{\&Delta;}{T_1}^2+a_3\mathrm{\&Delta;}{T}_2+a_4\mathrm{\&Delta;}{T}_2^2+a_5\mathrm{\&Delta;}{T}_1\mathrm{\&Delta;}{T}_2+a_6\mathrm{\&Delta;}{T_1}^2\mathrm{\&Delta;}{T}_2^2$

Wherein, E _CapBe the full refrigerating capacity correction factor that carries;

Q _F.oBe the full refrigerating capacity that carries under the real-world operation temperature;

Q _F.nBe the nominal refrigerating capacity;

Δ T ₁Be the evaporator outlet water temperature of nominal and the difference of ice water host computer actual evaporator outlet water temperature;

Δ T ₂Be the condenser inlet water temperature of nominal and the difference of the actual condenser inlet water temperature of ice water host computer;

E _pow＝P _F.o÷P _F.n

E _PowFor frozen water leaving water temperature and cooling water temperature depart from the function of nominal temperature value, calculate as follows with the biquadrate formula:

$E_{\mathrm{pow}}=f(\mathrm{\&Delta;}{T}_1,\mathrm{\&Delta;}{T}_2)=b_0+b_1\mathrm{\&Delta;}{T}_1+b_2\mathrm{\&Delta;}{T_1}^2+b_3\mathrm{\&Delta;}{T}_2+b_4\mathrm{\&Delta;}{T}_2^2+b_5\mathrm{\&Delta;}{T}_1\mathrm{\&Delta;}{T}_2+b_6\mathrm{\&Delta;}{T_1}^2\mathrm{\&Delta;}{T}_2^2$

Wherein, E _PowFor the drag coefficient under the refrigerating capacity is carried in non-nominal entirely;

P _F.oBe the full power consumption power of carrying under the real-world operation temperature;

P _F.nFor power consumption power is carried in nominal entirely;

Δ T ₁Be the evaporator outlet water temperature of nominal and the difference of ice water host computer actual evaporator outlet water temperature;

Δ T ₂Be the condenser inlet water temperature of nominal and the difference of the actual condenser inlet water temperature of ice water host computer;

E _partial＝P _partial.o÷P _F.o

E _PartialBe the function of unloading rate, calculate as follows with quadratic equation:

E _partial＝f(PLR)＝c ₀+c ₁×PLR+c ₂×PLR ²

Wherein, E _PartialPower consumption force rate rate for fractional load;

P _Partial.oBe substantial portion load power consumption power;

P _F.oBe the actual full power consumption power of carrying of non-nominal;

PLR is the unloading rate;

PLR＝Q _ch÷Q _F.o＝Q _ch÷(Q _F.n×E _cap)；

Q _ChBe ice maker real-world operation refrigerating capacity;

P _nBe the full power consumption that carries under the nominal state;

Steps A 3: according to the real-world operation data, with the following formula correction and calculate the power consumption value under the operating condition

P _ch＝E _cap×E _pow×E _partial×P _F.n

Wherein, P _ChBe the ice water host computer power consumption value under the operating condition;

Steps A 4: verify each return adaptation coefficients through statistical t calibrating confirming its validity, otherwise get back to steps A 1.

3. air-conditioning system water side apparatus energy-saving control method as claimed in claim 1, wherein, this step B further comprises:

Step B1: set up that cooling water and outer gas conduct heat and the Mike of mass transfer that equation (Merkel Equation)

$\mathrm{NTU}=K_{a}V/L={\&Integral;}_{t1}^{t2}\frac{C_p}{h^{\&prime;}-h_a}\mathrm{dt}$

Wherein, NTU is hot transmission unit number;

K _aV/L is the cooling tower characteristic value;

C _pBe the cooling water specific heat of combustion;

H ' is water droplet border face air film enthalpy (Enthalpy) value;

h _aBe the humid air heat enthalpy value;

T is a water temperature in the water tower;

Step B2: by data bank acquisition relevant parameter, this Mike's that equation of substitution;

Step B3: try to achieve the hot transmission unit numerical value of respectively organizing data with numerical integrating;

Step B4: under the prerequisite of calorific value balance, set up following service performance relational expression

K _aV/L＝C×(L/G) ^-n

Wherein, K _aV/L is the cooling tower characteristic value;

L/G is a WGR;

C ,-n is coefficient and the index that test is tried to achieve;

Step B5: the adaptive MSDS of setting up NTU and L/G;

Step B6: recurrence is found the solution C and is reached-the n value.

4. air-conditioning system water side apparatus energy-saving control method as claimed in claim 1, wherein, this step C further comprises:

Step C1: obtain pump operation or test data, set up flow-lift (Q-H) performance curve according to formula (1), and try to achieve each adaptation coefficients a by regression Calculation ₂, a ₁, a ₀,

H _D＝a ₂Q _D ²+a ₁Q _D+a ₀.........(1)

Wherein, H _DBe rated lift;

Q _DBe design discharge;

Step C2: obtain the rated lift and the design discharge of water pump, with the design operation line H of construction water pump and coupled system _D=k _D* Q _D ²If, there is hydrostatic head to exist, establishing hydrostatic head is H _s, H then _D=k _D* Q _D ²+ H _s, and try to achieve coefficient value k _D

Step C3: obtain instant differential pressure data of on-the-spot feedback (Δ P) and pump motor operating frequency (H _Z), operating frequency (H _Z) with the ratio of nominal frequency be rotating ratio (ω _s), and water pump pressure reduction (Δ P) promptly equals water pump delivery head (H);

Step C4: bring formula (1) into similarity law and promptly get pump capacity

Wherein, Q is the instant flow that is the system requirements water yield;

Step C5: the coefficient value a that step C1 is tried to achieve ₂, a ₁, a ₀And step C3 tries to achieve instant data H, ω _sThe water pump equation of substitution step C4 is tried to achieve instant flow Q;

Step C6: the k that tries to achieve with step C2 _DThe Q value that value and step C5 try to achieve, the H of substitution step C2 _D, try to achieve H ' value;

Step C7: with another water pump equation of similarity law construction

${\mathrm{\&omega;}}_s=\frac{-a_{1}Q-\sqrt{{\left(a_{1}Q\right)}^2-4a_0(a_2{Q}^2-H^{\&prime;})}}{2a_0}$

And a that step C1 is tried to achieve ₀, a ₁, a ₂, the Q that step C5 tried to achieve, the H ' that step C6 tried to achieve, this water pump equation of substitution in the hope of new rotating ratio, and then is asked for new motor running frequency;

Step C8: assign water pump CD-ROM drive motor frequency converter running instruction with new motor running frequency.

5. air-conditioning system water side apparatus energy-saving control method as claimed in claim 1, wherein, this step D further comprises:

Step D1: the data of the regression analysis of acquisition ice water host computer power consumption performance, the regression analysis of cooling tower performance, the regression analysis of pump operation performance, the minimum total power consumption function of substitution air-conditioning system

$\min .P_{\mathrm{kw}}=\underset{i=1}{\mathrm{\&Sigma;}}(P_{\mathrm{ch}.i}+P_{p.i}+P_{\mathrm{ct}.i})$

Wherein, P _KwBe the total power consumption value function of air-conditioning system frozen water factory system minimizes;

P _ChBe ice water host computer power consumption value;

P _pBe water pump power consumption value;

P _CtBe cooling tower power consumption value;

The i subscript is each frozen water machine, pump, cooling tower;

Step D2: set up the relevant limit condition according to the air-conditioning system framework;

Step D3: the acquisition frozen water goes out, goes into coolant-temperature gage and flow, and through the Conversion Calculation air conditioner load ton of refrigeration of ton of refrigeration heat, ton of refrigeration heat=frozen water flow Q * frozen water density p * frozen water is gone into out water temperature difference * frozen water avergae specific heat Cp;

Step D4: suppose the cooling tower rotation speed of the fan; With the minimum total power consumption function of the restrictive condition calculations of air conditioner system of the function of step D1 and step D2 and step D3, and obtain unloading value, cooling water turnover temperature, pump rotary speed and the total power consumption value that each ice water host computer distributes with numerical analysis minimization calculation method;

Step D5: the relative cooling water temperature under the different cooling tower rotation speeds of the fan is calculated the result be created as MSDS; Making amount of power is the quadratic term function of cooling water temperature; This function of differential can be obtained the cooling water temperature operating parameter of minimum total system power consumption value, and is converted into temperature controlled reset indication.

6. air-conditioning system water side apparatus energy-saving control method as claimed in claim 2, wherein, the parameter of this steps A 1 evaporimeter leaving water temperature, condenser that comprise nominal and real-world operation are gone into coolant-temperature gage, load factor and power consumption.

7. air-conditioning system water side apparatus energy-saving control method as claimed in claim 2; Wherein, This steps A is in the scheduled time; Actual amount measured value according to parameters deposits the running data bank in, according to this data bank the coefficient of each regression equation is carried out self-correction factor, each regression equation of immediate updating.

8. air-conditioning system water side apparatus energy-saving control method as claimed in claim 3, wherein, the parameter of this step B2 comprises the quantity of circulating water and the air mass flow of the import and export water temperature of cooling tower, outer gas wet and dry bulb temperature, cooling tower.

9. air-conditioning system water side apparatus energy-saving control method as claimed in claim 3, wherein, the numerical integrating of this step B3 uses trapezoidal numerical approximation integration method.

10. air-conditioning system water side apparatus energy-saving control method as claimed in claim 5; Wherein, the restrictive condition of this step D2 comprises heat that the ice water host computer chilled load absorbs and input work and coolant pump input work and the heat that produces must equal the heat that cooling tower is taken away; Hot transmission unit is counted the NTU value and is equated with cooling tower service performance value; All the freezing energy summation that provided of ice water host computers must equal freezing energy, ice water host computer load unloading rate, frozen water and cooling water flow and frozen water and the cooling water temperature of air conditioner load demand must be in accordance with the normal operation range of commodity standard; Pump operation must be observed the normal design opereating specification of commodity standard; The normal operation range of commodity standard is observed in the running of cooling tower windmill; Cooling tower goes out critical value 3 degree Celsius that water temperature is higher than outer air humidity bulb temperature, and promptly approach temperature is greater than 3 degree; Cooling water inflow equals the product of the sum total of ice water host computer chilled load, input work and cooling water pump input work divided by water specific heat and maximum water temperature difference, and cooling water inflow must not allow minimum discharge less than minimum ice water host computer; The running of all devices exceeds the normal operation range of commodity standard will impel adding machine.

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