1. Introduction
In Taiwan, air conditioning, temperature, and humidity control are essential for people’s daily needs and for restaurants, stores, medical institutions, commercial buildings, supermarkets, industrial plants, and high-technology electronics. According to the energy saving technical manual of the Bureau of Energy of Ministry of Economic Affairs of Taiwan [
1,
2], the proportion of power consumption for air conditioning equipment in buildings is about 23–56%. If people’s daily air conditioning use is not included, the proportion is about 45–56%, which shows that the central air conditioning system is the most energy-consuming piece of equipment in most buildings. According to the statistics of the Taiwan Power Company, the peak power consumption of air conditioning equipment in summer accounts for about 35% of the total power consumption in Taiwan. Therefore, the proportion of power consumption of air conditioning equipment in the summer is quite high in Taiwan. Among the different types of air conditioning equipment, the power consumption of the chiller compressor is the highest, accounting for about 50–60% of the total air conditioning system. Reducing the power consumption of chiller compressors while also improving their operational efficiency has become an important energy-saving direction; this must be done in such a way that the operation mode and the option to use the main carrier or a standby carrier can be adjusted at appropriate times, the operation mode strategy can be applied, and the chiller can be allocated based on the best operation load data to keep the chiller in a high-efficiency operation state.
The chiller is one of the most energy-consuming types of air conditioning equipment and often faces problems of overdesign and unnecessary energy consumption due to inadequate maintenance [
3]. Analyzing the characteristics of the chiller in relation to the needs of the place where it will be used can help determine the appropriate collocation before purchase, and, after the completion of the construction, ensure that the chiller can be used according to its characteristics to maintain its performance integrity and greatly increase its energy-saving benefit. The cooling coefficient of performance (COP
R) and energy efficiency ratio (EER) of the chiller are analyzed. The data of different refrigeration capacities of the centrifugal chiller are calculated using simulation consumer software. Based on different operating percentages and fixed- or variable-cooling water inlet temperature, the energy-saving benefits of the chiller that will greatly increase COP
R and EER are discussed. The results of the numerical analysis of different chillers’ refrigeration capacity are used to determine the most favorable operation mode and achieve low-energy consumption and a high-efficiency method. Liu [
4] found that the chiller and the motor of the auxiliary equipment of the air conditioner account for most of the power consumption of the central air conditioning system.
In recent years, the best energy-saving solution has been to install a frequency converter to control the motor speed and adapt to load change. Chen et al. [
5] investigated the energy-saving and carbon reduction implementation plan for an air conditioning chiller, which accounts for a large proportion of energy consumption, and determined that replacing old equipment with new equipment is easy and that selecting a high-efficiency refrigerant compressor is very important for reducing energy consumption. If budgets are not sufficient to replace the old energy-consuming equipment, a certain degree of energy-saving can be achieved by making appropriate adjustments and planning for the existing systems and equipment. Yang [
6] found that the air conditioning power consumption of general office buildings accounts for the largest proportion of the total power consumption, among which the ice water host had the highest power consumption. The performance of each chiller will be different after a period of chiller operation due to the operation time, maintenance situation, and other factors, such that a feasible chiller operation strategy must be adopted for energy saving. Chang et al. [
7] found that, in addition to integrating the Maglev compressor technology, the Maglev centrifugal chiller needs to construct a complete intelligent control logic for a wide area load change and an optimized control scheme for system energy distribution (chiller, water pump, and air side) to fully utilize the advantages of oil-free Maglev direct drive. Lin et al. [
8] found that the centrifugal machine using ball bearing needs an oil lubrication system, such that the refrigerant system inevitably contains a certain proportion of lubricating oil, which reduces the heat transfer effect of the heat exchanger, reduces the working efficiency of the chiller, and further increases the complexity of the compressor host. Therefore, the application of centrifugal compressors in chillers has gradually developed toward being oil-free.
Chen et al. [
9] asserted that the compressor is the core of air conditioning equipment. Among all kinds of compressors, the Maglev centrifugal compressor is oil-free and has a long service life, low noise, and high energy efficiency. Therefore, the application of Maglev centrifugal compressors in air conditioning equipment will be a future development trend in the air conditioning industry.
Wang [
10] states that the chiller must maintain a high-efficiency operation standard under 75–50% operation conditions, in addition to full-load operation, because the ASHRAE has an integrated part-load value for the centrifugal water chiller used in building air conditioning. According to the evaluation, the weight of 100% full-load operation of the chiller is only 0.01. When the load changes, the air conditioning demand determines whether the chiller load increases or decreases and a frequency converter can be installed for energy saving during continuous operation throughout the year.
Yu et al. [
11] explored how large shopping malls replace traditional chillers with oil-free variable-frequency chillers, using the high COP
R of the oil-free variable-frequency chiller to save electricity and energy. After one year of operation, the total power consumption using the oil-free variable-frequency chiller is reduced by 9.6%. Liu et al. [
12] analyzed the performance difference between variable- and constant-frequency chillers through the capacity control modes and operation data of different operating loads. The experiment showed that the efficiency of the constant-frequency chiller is higher than that of the variable-frequency chiller except for during full-load operation, and the performance of the variable-frequency chiller is better than that of the constant-frequency chiller when operating with a part-load.
Chen [
13] found that the variable-frequency chiller can achieve a better energy-saving effect operating with a part-load and lower cooling water inlet temperature. The climate temperature of different regions also directly affects the energy-saving effect of the chiller operation. Chen [
14] states that the operation efficiency of the constant-frequency host is higher than that of the variable-frequency host when the inlet water temperature of the cooling water is high. Constant- and variable-frequency host matching can be selected for the chiller, which can obtain a higher energy-saving effect. Cheng et al. [
15] studied the proper monitoring and maintenance of the chiller using complete analysis and found that standard operating procedures can reduce the probability of refrigerant leakage, reduce the occurrence of surges in the centrifugal compressor, save operating costs, and extend the service life of the chiller. Yeh et al. [
16] analyzed the operation value and energy consumption performance of a single 700 RT chiller and two 350 RT chillers. They found that the operation performance of two 350 RT chillers is better than that of a single 700 RT chiller.
Refrigeration and air conditioning-related equipment have many motors and mechanical components. In recent years, Maglev variable-frequency centrifugal compressors have been used to replace the traditional centrifugal compressors, which reduces the wear on the bearing and the volume of the traditional centrifugal compressor, removes the high- and low-speed gear of the compressor wheel assembly, improves the operation efficiency, and makes the centrifugal compressor an oil-free development stage. Variable-frequency converters have also been installed to change power frequency and reduce energy consumption. Lissandrin et al. [
17] focused on the efficient operation of variable-speed air-condensed chillers with variable-speed centrifugal compressors paired with (oil-free) magnetic bearings. Multiple operating conditions, at any moment in time, together with wide cooling ranges and potentially high energy efficiencies during off-peak demands create the need for an open-loop energy optimization strategy via an efficiency-based fitness function. It is solved by means of an ad hoc hybrid algorithm that combines a deterministic method and a stochastic one. The results of the simulations, which are based on two chiller layouts, show the potential of this approach.
Zhang et al. [
18] analyzed some production and energy efficiency standards of water chillers, including AHRI 551/591, ASHRAE 90.1, EN 14825, EN 14511, GB/T 18430.1, GB/T 25127.1, GB/T 25127.2, GB 19577, etc. A series of highly energy-efficient water chiller technologies are introduced, including new compressor technology, high-efficiency heat exchange technology, new refrigerant technology, system energy conservation technology, high-temperature water chiller technology, and water chiller and natural cold source cooling technology in a data center. Based on the application of these technologies, the component energy efficiency, unit energy efficiency, and system energy efficiency of water chillers will improve significantly. In Deng et al. [
19], a magnetic bearing centrifugal chiller (MBCC) with variable-speed control, also known as an oil-free chiller, is highly recommended by manufacturers as a remarkable energy-efficient solution for space cooling in buildings. MBCCs performed much more efficiently especially at a part-load cooling demand ratio and partial compression demand ratio. To fully take advantage of MBCCs for truly energy-efficient operation, MBCC design and operation must be optimized based on annual hourly simulation of the cooling demand and compression demand ratio rather than just focusing on the nominally rated conditions of chillers. Based on the time-series operational data log, an empirical model of MBCC was conducted that can help to optimize chiller plant design and operational strategy through annual hourly simulation of the energy performance of MBCCs.
Al-Badri et al. [
20] studied the stability and performance of a water chiller system equipped with a variable speed compressor and an electronic expansion valve. The application of an appropriate control method, rather than the type of controller, may have a significant influence on the coefficient of performance and system stability. An operation with fixed superheat setting yields a lower coefficient of performance compared to the single-loop and two-loop control methods.
In comparison to the PI and PID controllers, the proportional fuzzy controller reduces the degree of superheat fluctuation. The single-loop control method produces the maximum coefficient of performance as well as good stability for both the degree of superheat and the product water temperature. Compared to the constant degree of superheat operation, the single-loop control method enhanced the coefficient of performance by 27.5%, 18.3%, and 19.7% for the proportional fuzzy, PID, and PI controllers, respectively. Catrini et al. [
21] explained that multiple-chiller systems represent viable solutions for medium/large-scale air conditioning applications characterized by variable cooling demand. The energy efficiency of such systems is influenced by the number of chillers, the combination of cooling capacities, and the load-sharing among the units. The exergy economic cost of chilled water was reduced by about 7% and 30% when passing from evenly to unevenly sized systems in both series and parallel configurations. It was also found that the symmetric load sharing strategy leads to a 14–18% reduction in the cost of chilled water compared to the sequential one.
Yamamoto et al. [
22] investigated the coefficient of performance of an ordinary water-cooled chiller, presented as a relationship with the chiller load factor and cooling water temperature. However, the cooling water temperature fluctuates according to the processed heat of the cooling tower originating in the cooling energy of the chiller and to the outside temperature and humidity. This paper formulated the coefficient of performance of a water-cooled chiller as a relationship with the chiller load factor and specific enthalpy of the outside air. The number of transfer units model was used to calculate the cooling water temperature corresponding to the cooling tower load factor a counter flow cooling tower for the specific enthalpy of the outside air. Furthermore, in the case of installing multiple chiller units, it becomes possible to calculate the composite coefficient of performance of those chillers without having to determine the cooling water temperatures for the different operation load factors of those chillers.
Bao et al. [
23] assert that integrated part-load value has been adopted worldwide as a simple metric for regulating and evaluating chiller performance. Through in-situ measurements and site surveys, hour-by-hour operating data of the studied buildings were collected. Monte Carlo analysis and ASHRAE’s bin method were employed to examine the massive volume of operating data. Regression analysis was employed to formulate the Hong Kong-specific IPLV. The formulated IPLV was validated. It gives the highest weighting to 75% capacity (0.682), followed in descending order are 50% capacity (0.257), 25% capacity (0.049), and 100% capacity (0.012). When determining the working temperatures, a mathematical model was developed to quickly estimate the condenser water temperature of water-cooled chillers. Yuan et al. [
24] focused on how supervisory control can be used to optimize the HVAC system operation and achieve building energy conservation, while reinforcement is considered a promising model-free supervisory control method. A reinforcement learning algorithm is used for the optimization of the air-conditioning system operation, and an innovative RL-based model-free control strategy is proposed that combines rule-based and RL-based control algorithms and a complete application process.
A variable air volume air-conditioning system for a single-story office building can be used as a case study to validate the optimization performance of the RL-based controller. We select control strategies with the rule-based controller and proportional-integral-derivative controller as the reference cases. The results show that the RL controller is more suitable for small-scale operation optimization problems. Zhao et al. [
25] described how central air-conditioning systems predominantly operate under part-load conditions. The optimization of differential pressure set points in the chilled water system of a central air-conditioning system leads to a more energy-efficient operation. A variable differential pressure reset method is proposed with an adaptive adjustment algorithm based on the Mamdani fuzzy model. This method was compared with differential pressure reset methods with reference to the chilled water differential temperature, outdoor temperature, and linear model based on the adjustment algorithm.
While satisfying the terminal user’s energy supply-demand and ensuring the avoidance of the most unfavorable thermodynamic loop, the proposed adaptive adjustment algorithm also decreased the differential pressure set point value by 25.1–59.1% and achieved energy savings of 10.6–45.0%. By monitoring the valve position and supply air temperature of each terminal user, the proposed method exhibited suitable online adaptability and could be flexibly applied to buildings with random load changes. Kim et al. [
26] developed and validated a data-driven fault detection and diagnosis system for a chiller. The system uses historical operation data to capture quantitative correlations among system variables. To evaluate the effectiveness and robustness of the fault detection and diagnosis classification methods based on the experimental data of the chiller. The local fault is not significantly sensitive to training data and shows high classification accuracy for all cases. The system fault has a significant effect on the amount of data and the severity levels affect the classification accuracy.
When designing the engineering refrigeration and air conditioning demand and calculating the heat load, it is important to determine the percentage of the weight of the basic load in the total load, as well as the time and amount of load change to match the performance maintenance of water chiller. Appropriate operation energy efficiency settings can avoid overdesign or insufficient design of cold energy capacity so that the water chiller can operate efficiently and reduce energy consumption.
5. Energy Efficiency Ratio (EER)
The design condensing pressure of the chiller is point P
5; the operation sequence point of the refrigeration cycle is 1→5→6→7→1, as shown in
Figure 5; the compressor work is equal to h
5 − h
1; and the refrigeration capacity of the evaporator is equal to h
1 − h
7. The COP
R of point P
5 is shown below.
COP
R = refrigeration capacity of the evaporator/compression work of the compressor
When the inlet water temperature of the cooling water is high T
1, resulting in a poor cooling efficiency of the chiller, point P
5 will rise to point P
2; the refrigeration cycle operational sequence point is 1→2→3→4→1, as shown in
Figure 5; the compressor work is equal to h
2 − h
1; and the refrigeration capacity of evaporator is equal to h
1 − h
4. The COP
R of point P
2 is as follows.
COP
R = refrigeration capacity of the evaporator/compression work of the compressor
The compression work of the compressor of point P2 is greater than that of point P5, and the refrigeration capacity of the evaporator of point P5 is greater than that of point P2. According to the above description, the COPR of point P5 is higher than that of point P2, and the inlet water temperature of the cooling water has a direct effect on the COPR of chiller efficiency. When the water inlet temperature of the cooling water is low and the power consumption of the compressor is relatively reduced, maintaining a good heat dissipation rate in the cooling tower can help the chiller achieve an energy-saving efficiency.
P: Absolute pressure value (Pabs) (MPa): P2 = P3 > P5 = P6 > P1 = P4 = P7.
h: Enthalpy (kJ/kg): h2 > h5 > h1 > h3 = h4 > h6 = h7.
T: Temperature (°C): T1 > T2.
In the basic refrigeration cycle, the compressor does the work (compression heat), the condenser releases heat, the expansion valve controls the refrigerant mass flow rate, and the evaporator absorbs heat.
This cycle is a refrigeration cycle, and COP
R is the ratio of the net refrigeration capacity of the evaporator to the compression work of the compressor, i.e., a ratio of the net refrigerating capacity to the total input power at any given set of rating conditions. COP
R is the refrigeration capacity of the evaporator (kW)/compression input work of the compressor (kW). The cooling COP
R is calculated as follows [
27,
28]:
EER is the cooling capacity of the evaporator divided by the power consumption of the compressor, i.e., the ratio of the net refrigerating capacity to the total input power at any given set of rating conditions. EER is the cooling capacity of the evaporator (Q
evap.) (kcal/hr)/power consumption of the compressor (W
input) (W). The EER is calculated as follows [
27,
28]:
The power input per capacity (kW/ton
R) is the ratio of the total input power to the net refrigerating capacity at any given set of rating conditions. The power input per capacity is calculated as follows [
27,
28]:
where the thermal equivalent capacity (kW) is 860 kcal/hr; 1 kcal is 3.968 BTU; the unit conversion is 1 US RT = 12,000 BTU/hr = (12,000 BTU/hr)/(3.968 BTU) = 3024 kcal/hr = (3024 kcal/hr)/(860 kcal/hr) = 3.516 kW; COP
R = EER/3.412 = 0.293 EER; the power input consumption per refrigeration capacity ton
R (kW/ton
R) = 3.516/COP
R and kW/ton
R = 12/EER.
6. IPLV.IP and NPLV.IP
Generally, the operating load percentage of the water chiller will change with the change in load demand because of climate factors, such as seasonal changes in spring, summer, autumn, and winter and different day and night conditions, among other reasons. This paper focuses on the integrated part-load value (IPLV.IP) and non-standard part-load value (NPLV.IP) of the water-cooled chiller. IPLV.IP is a single number part-load efficiency figure of merit calculated using the method described in this standard at standard rating conditions. NPLV.IP is a single number part-load efficiency figure of merit calculated using the method described in this standard, referring to conditions other than IPLV.IP conditions, i.e., for units with water-cooled condensers that are not designed to operate at standard rating conditions, but is not used for air-cooled and evaporatively-cooled chillers. The AHRI standard records relevant standards and calculation equations [
27,
28]. The purpose of the AHRI standard is to establish the following for water-chilling and heat pump water-heating packages using the vapor compression cycle: definitions, test requirements, rating requirements, minimum data requirements for published ratings, marking and nameplate data, conversions and calculations, nomenclature, and conformance conditions. This standard is intended for the guidance of the industry, including manufacturers, engineers, installers, efficiency regulators, contractors, and users. Therefore, we have focused on real-field operation differences in the refrigeration capacity ton
R of water-cooled chillers, which must be understood when designing water-chilling chiller packages and evaluating the performance of water chillers equipped with constant- or variable-frequency centrifugal compressors.
The part-load energy efficiencies at proportions of 100%, 75%, 50%, and 25% load to the operation weight factor are 0.01, 0.42, 0.45, and 0.12, respectively. When COP
R and EER are used to calculate IPLV.IP or NPLV.IP = 0.01A + 0.42B + 0.45C + 0.12D, where A = COP
R or EER at 100% load, B = COP
R or EER at 75% load, C = COP
R or EER at 50% load, and D = COP
R or EER at 25% load [
27,
28].
Using the calculation of power input consumption (kW) per capacity ton
R, [
27,
28]
where
A = Power input per capacity, kW/tonR at 100% load,
B = Power input per capacity, kW/tonR at 75% load,
C = Power input per capacity, kW/tonR at 50% load, and
D = Power input per capacity, kW/tonR at 25% load.
The operating conditions and calculation and the design conditions and equations of the water chiller are also explained and determined by AHRI. The outlet temperature of the ice water is 44 °F (6.67 °C), the inlet temperature is 54 °F (12.22 °C), and the temperature difference is Δ = 10 °F (5.55 °C). The flow rate of the ice water is 2.4 GPM/tonR (9.08 LPM/tonR) The inlet temperature of the cooling water is 85 °F (29.44 °C), the outlet temperature is 94.5 °F (34.72 °C), and the temperature difference is Δ = 9.5 °F (5.28 °C). The flow rate of the cooling water is 3 GPM/tonR (11.36 LPM/tonR). The fouling coefficients of the evaporator and condenser are 0.0001 and 0.00025, respectively.
The heat exchange capacity of the evaporator and condenser can be calculated by the following formula:
: Heat exchange heat (BTU/hr or kW),
: Fluid mass flow rate (lb/hr or kg/hr),
Cp: Specific heat of the fluid (BTU/lb_℉ or kJ/kg_K),
ΔT: Temperature difference (Tinput–Toutput) of the fluid (℉ or ℃)
Q = U × A × LMTDevap.
U: Total heat transfer coefficient (BTU/hr_ft2_℉ or kcal/hr_m2_℃),
A: Heat exchange area (ft2 or m2),
LMTDevap.: Logarithmic average temperature of the fluid and refrigerant in the heat exchanger or logarithmic effective average temperature.
The evaporator is taken as an example to calculate [
27,
28]:
LMTDevap.: logarithmic effective average temperature of the evaporator (°F or °C),
Te: refrigerant saturation temperature of the evaporator (°F or °C),
Ti: inlet fluid temperature of the evaporator (°F or °C), and
To: outlet fluid temperature of the evaporator (°F or °C).
9. Parameter Setting
Through the commercial consumer code program and monitoring equipment of the Maglev variable-frequency chiller, the operation value of the chiller is recorded and compared with the operational selection table of the chiller. Whether the selection table value generated by the matching commercial consumer code program simulation is consistent with the actual operation value on site is determined. Using the commercial consumer code simulation analysis prediction program and flow chart of the operational analysis in
Figure 6, meeting the AHRI standard and certification is necessary to select the required ton
R of the water chiller data for analysis.
In the real-field performance measurement of the Maglev variable-frequency water chiller, the monitoring equipment is used to measure the ice water outlet temperature, ice water inlet temperature, cooling water outlet temperature, cooling water inlet temperature, refrigerant pipe temperature, compressor contraction temperature, compressor exhaust temperature, evaluator pressure, condenser pressure, and motor current parameters value, as shown in
Table 3.
The basic operation specifications of the actual water chiller are described. The ice water chiller using refrigerant R-134a has a voltage of 460 V/60 Hz, a current of 536 A, an input power of 411 kW, a cooling capacity of 2461 kW, a COP
R performance of 6.0, and the evaporator entering is 12 °C, evaporator leaving is 7 °C, condenser entering is 32 °C, condenser leaving is 36.7 °C, evaporator flow is 7056 L/min, and condenser flow is 8820 L/min, as shown in
Table 4.
For the actual water chiller real-field operation monitoring measurement position values, the monitoring data capture record is based on the actual water chiller real-field operation in the range of 80%, 70%, 60%, and 50% and the actual operation record average current is 402 A, 368 A, 325 A, and 262 A; ice water inlet temperature is 10.5 °C, 10.5 °C, 9.9 °C, and 9.5 °C; ice water outlet temperature is 7.0 °C, 6.9 °C, 7.0 °C, and 7.1 °C; cooling water inlet temperature is 32.6 °C, 30.8 °C, 29.5 °C, and 28.6 °C; cooling water outlet temperature is 37.3 °C, 35.3 °C, 33.1 °C, and 32.2 °C, as shown in
Table 5.
Using the commercial consumer code program to simulate the operation mode of the water chiller, under the conditions of 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, and 10%, the output analysis parameter is between 536 A and 85 A for the running average current; the ice water inlet temperature is between 12 °C and 7.5 °C; the ice water outlet temperature is consistently 7.0 °C; the cooling water inlet temperature is between 32 °C and 25.4 °C; the cooling water outlet temperature is between 36.7 °C and 25.9 °C, as shown in
Table 6.
The results show that the parameters of the actual water chiller are almost the same as those of the water chiller running mode simulated by the commercial consumer code program under 80%, 70%, 60%, and 50% conditions, which shows that it is beneficial to simulate the water chiller running mode using the commercial consumer code program. In addition, the working conditions of the actual water chiller in real-field operation can be checked, and the commercial consumer code program can be established to simulate the prediction of the water chiller operation mode, query the specification table of machine selection performance, and select a performance map that conforms with AHRI standard [
27,
28] regulation, serving as a reference for future design, change, planning, and construction. It can easily and quickly understand the impact of load, analyze the most favorable matching parameters of the water chiller, and the commercial consumer code program can be used to simulate the operation mode of the water chiller, in order to accurately design and select the reference database for matching the different ton
R of constant-frequency or variable-frequency water chiller operation, as shown in
Table 7.
11. Conclusions
When the water inlet temperature of the cooling water is fixed and the full load is 100%, the COPR and EER of the Maglev variable-frequency centrifugal chiller are better than those of the constant-frequency centrifugal water chiller, and that of the constant-frequency centrifugal water chiller is better than that of the variable-frequency centrifugal water chiller. The larger the freezing tonnage of the variable-frequency centrifugal water chiller, the smaller the difference between COPR and EER. In addition to the low-load operation of the Maglev variable-frequency centrifugal water chiller, the constant- and variable-frequency centrifugal water chillers are operational above 87% load at 200 RT, above 73% load at 250 RT, above 52.5% load at 300 RT, above 77.1% load at 380 RT, above 79% load at 500 RT, and above 48.8% load at 700 RT.
When the inlet cooling water temperature is changed and the full load is 100%, the COPR and EER of the Maglev variable-frequency centrifugal water chiller are better than those of the constant-frequency water chiller, and that of constant-frequency centrifugal water chiller is better than that of variable-frequency centrifugal water chiller. The COPR and EER of the water chiller with time-varying cooling water inlet temperature is better than that with fixed-cooling water inlet temperature under partial-load operation, especially under 70% load operation. The COPR of the Maglev variable-frequency centrifugal chiller can exceed 10, which is quite efficient. The results of the analysis show that the COPR and EER values of various centrifugal water chillers are different during operation. The COPR and EER values of fixed- and variable-cooling water inlet temperatures are very different, especially in partial-load operation, but no substantial difference is observed in full-load operation mode.
Therefore, when designing the engineering demand of refrigeration and air conditioning and calculating the heat load, confirming the weight of the basic load as a percentage of the total load as well as the time and amount of change of the variable load is relatively important for matching the performance characteristics of the chiller, setting the operation mode properly, and avoiding overdesign or insufficient capacity in the design. It can achieve the ultimate goal of keeping the chiller running efficiently and saving the cost of power consumption.