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Steady-State Modeling of Condensing Units with an Economizer Loop
Haithem MURGHAM1*, David MYSZKA1, Vijay BAHEL2, Nathan BURNS2, Kyaw WYNN2,
Mike SAUNDERS2, Rajan RAJENDRAN2
1
University of Dayton, Applied Mechanics
Dayton, Ohio, USA
Murghamh1@udayton.edu, dmyszka@udayton.edu
2
Emerson Climate Technologies
Sidney, Ohio, USA
Vijay.Bahel@emerson.com, Nathan.Burns@emerson.com, Joe.Wynn@emerson.com,
Mike.Saunders@emerson.com, Rajan.Rajendran@emerson.com
* Corresponding Author
ABSTRACT
This paper presents an engineering model that simulates the steady-state operation of air-cooled condensing units.
Packaged, air-cooled condensing units include a compressor, condensing coil, tubing, and fans, fastened to a base or
installed within an enclosure. A standard condensing unit system simulation model is assembled from conventional,
physics-based component equations. Specifically, a four-section, lumped-parameter approach is used to represent the
condenser, while well-established equations model compressor mass flow and power. To increase capacity and
efficiency, enhanced condensing units include an economizer loop, configured in either upstream or downstream
extraction schemes. The economizer loop uses an injection valve, brazed-plate heat exchanger (BPHE) and scroll
compressor adapted for vapor injection. An artificial neural network is used to simulate the performance of the BPHE,
as physics-based equations provided insufficient accuracy. The capacity and power results from the condensing unit
model are generally within 5% when compared to experimental data.
1. INTRODUCTION
Heating, ventilation, air-conditioning, and refrigeration (HVACR) systems are essential for food preservation, indoor
human comfort, and process cooling, such as pharmaceuticals and electronic equipment. Typical HVACR systems
utilize a vapor compression system that includes four basic elements: a compressor, condenser, expansion valve and
evaporator. For installation, preference is given to split vapor compression systems, where the cooling evaporator unit
is packaged separately from a remote condenser unit. Evaporator units are often tailored for the specific application
and integrated within the device, such as a delicatessen display case, a walk-in cooler, or soda machine. The other half
of the split system is the condensing unit (often air cooled) which includes a compressor, condenser coil, liquid
receiver, connecting tubing, and fans, assembled into a modularized package. A commercial condensing unit is shown
in Figure 1. Economized condensing units also include a brazed plate heat exchanger, injection valve and a scroll
compressor adapted for vapor injection. While condensing units do not have an evaporator, their capacity is rated by
the amount of heat that could be absorbed if an evaporator was present.
Liquid Receiver
Connecting tubing
Base
Condenser
Fan
Compressor
Figure 1: Typical condensing unit (Emerson, 2018)
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While being a mature technology, significant research continues to be conducted on HVACR systems, mostly focusing
on increasing the efficiency and exploring the performance with alternative, environmentally-friendly, refrigerants.
Experimental investigation is complex due to the large number of measured variables needed to characterize the
system and the effort required to install the instrumentation and collect the data. Numerical simulation models reduce
the cost and aid in understanding the detailed phenomena related to the system and sensitivity to design parameters.
Steady-state models are sufficient for most refrigeration applications, where the system achieves a stable operating
mode and continues to run in that mode for most of the time. Physics-based simulation models for the steady-state
operation of vapor-compression refrigeration systems have been established several decades ago and repeatedly
modified over the years. Hiller & Glicksman (1976) evaluated system performance with a lumped-parameter model
that divided the condenser to three and evaporator to two distinct regions, which required user-specified fixed
evaporator temperature, superheat and subcooling. Fukushima et al. (1977) formulated a heat pump model that
required the condensing/evaporating pressures and enthalpies to be specified. Domanski and Didion (1984) enhanced
a heat pump model that required the evaporator saturation temperature, inlet quality, and superheat. A detailed model
created by Stefanuk (1992) required evaporator saturation temperature, inlet quality and condensing temperature. Hui
& Spitler (2002) formulated a heat pump model with two zones for both condenser and evaporator, using constant
heat transfer coefficients and no subcooling. Winkler, Aute, & Radermacher, (2008) performed a comprehensive
investigation in three algorithms used to simulate a steady-state vapor compression system.
Working design engineers desire a ‘usable’ computer simulation model to simulate steady-state performance of
refrigeration systems. The comprehensive refrigeration simulation models exhibit notable accuracy, but they 1) require
numerous and difficult to obtain input variables, 2) are computationally intensive and have slow solution times, and
3) have convergence issues when exploring wide ranging design alternatives. In contrast, first-order simulation models
(Stoecker, 2000) for refrigeration systems use idealized, Carnot-like, models of the primary components that provide
insufficient accuracy to assist in detailed design decisions.
This paper presents a steady-state computer simulation model of condensing units using a four-section, lumpedparameter approach to represent the condenser, well-established compressor equations for mass flow and power, and
calibrated functions for a brazed plate heat exchanger. The objective of the model is to balance accuracy with minimum
input and analysis time. The model uses the system component geometries, refrigerant, air flow rate and environment
temperature to calculate the heat transfer coefficient, pressure drop and estimate the system behavior using minimum
system thermodynamic conditions as an input to the model before the simulation. The remainder of the paper is
organized as follows. Section 2 described the condensing unit model, including the vapor injection options. The
underlying theory for the component models is presented in Section 3. The model operation is given in Section 4, and
comparison or simulation results with experimental data is provided in Section 5.
2. CONDENSING UNIT MODEL DESCRIPTION
The simulation model is constructed in a manner that is compatible with the standard test methods for rating
condensing units (ANSI/ AHRI Standard 520, 2004). The ambient air used to cool the condenser is designated by its
temperature π‘‡π‘Ž 𝑖𝑛 and the volumetric flow rate π‘‰π‘ŽΜ‡ produced by the cooling fan. To designate a cooling condition, an
evaporator refrigerant dew point temperature 𝑇𝑒 , and sub-cooling temperature of the refrigerant exiting the condenser
coil 𝑇𝑠𝑐 are specified. Vapor return to the compressor is specified with a suction temperature 𝑇𝑆 . The compressor
suction pressure 𝑝𝑒 is the dew point pressure associated with 𝑇𝑒 . Condensing units are configured as either standard
or economizer, with upstream and downstream extraction options. The various condensing unit configurations are
discussed in the following sections.
2.1. Standard System
A typical condensing unit schematic is shown in Figure 2. Refrigerant vapor is presented to the compressor suction
inlet at temperature 𝑇𝑆 and pressure 𝑝𝑒 . The compressor produces a refrigerant mass flow π‘šΜ‡π‘‘ , and discharges a high
temperature 𝑇𝑑 refrigerant that is directed to the condenser. The condenser is a heat exchanger that removes heat from
the refrigerant, changing the hot gas into a warm liquid. The condenser has de-superheat, saturation, and subcool
zones. Based on the design of the coil and fins, along with π‘‡π‘Ž 𝑖𝑛 and π‘‰π‘ŽΜ‡ , a steady-state temperature TC and corresponding
saturation dew point pressure 𝑝𝑐 is attained within the saturation zone of the condenser. The temperature of the
refrigerant exiting the condenser π‘‡πΆπ‘œ is related to the specified sub-cooling and condenser bubble
point temperature 𝑇𝑐𝑏 , π‘‡πΆπ‘œ = 𝑇𝐢𝑏 − 𝑇𝑠𝑐 . The liquid receiver is a storage vessel that contains excess refrigerant not in
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circulation. The refrigerant stored in the liquid receiver accommodates varying operational conditions. The liquid
receiver does not significantly alter performance of the condensing unit and is not included in the model.
Ambient π‘‡π‘Ž 𝑖𝑛 , π‘‰π‘ŽΜ‡
Condenser heat rejection: 𝑄̇𝑐
Subcool
Condenser exit, π‘‡πΆπ‘œ , 𝑝𝐢 , β„ŽπΆπ‘œ
Saturated
Desuperheat
Condenser pC, TC
Suction vapor TS, pe, hS, S
π‘šΜ‡π‘‘
π‘šΜ‡ 𝐢 = π‘šΜ‡ 𝑑
Discharge line,
𝑇𝑑
Compressor:
𝑉𝑑 , πœ”, πœ‚π‘‘ ,
or 10-term
AHRI coeffs.
Figure 2: Standard condensing unit
2.2. Economized Condensing Unit with Upstream Extraction
An economized vapor compression cycle is able to provide more cooling than a standard cycle by increasing the
amount of sub-cooling. Figure 3 shows an economizer loop added to the standard system, with upstream extraction.
Notice that a portion of the subcooled liquid exiting the condenser is expanded through a valve, reducing its pressure
𝑝𝑆𝐼 with a correspondingly lower saturation temperature TSI. After expansion, the extracted portion is routed into one
side of a counter-flow, brazed plate heat exchanger (BPHE). The extracted portion is ultimately injected into an
intermediate pressure port within a scroll compressor, and aptly termed the injection mass flow π‘šΜ‡ 𝑖 . The remaining
portion of refrigerant exiting the condenser, at π‘‡πΆπ‘œ , 𝑝𝐢 , and flow rate π‘šΜ‡π‘‘ , is routed into the other side of the counterflow BPHE. Since TSI < TLI, heat is exchanged from the high pressure, warm liquid to the cool saturated refrigerant.
Thus, the BPHE acts as a subcooler, reducing the liquid temperature from π‘‡πΆπ‘œ to 𝑇𝐿𝑂 and provides additional system
cooling capacity.
Ambient π‘‡π‘Ž , π‘‰π‘ŽΜ‡
Condenser heat rejection: 𝑄̇𝑐
Condenser exit, π‘‡πΆπ‘œ
Subcool
Saturated
Condenser 𝑝𝐢 , TC
Injection
Valve
Vapor out TVO, pi, β„Žπ‘£π‘œ
π‘šΜ‡ 𝑑
Liquid in, TLI
BPHE heat
transfer 𝑄̇π‘₯
π‘šΜ‡π‘–
π‘šΜ‡π‘ = π‘šΜ‡π‘‘ + π‘šΜ‡π‘–
Discharge,
𝑇𝑑 , β„Žπ‘‘
π‘šΜ‡π‘–
Suction vapor 𝑇𝑆 , 𝑝𝑒 , β„Žπ‘  , πœŒπ‘ 

DT
Desuperheat
π‘šΜ‡π‘‘
Compressor:
𝑉𝑑 , πœ”, πœ‚π‘‘ ,
or 10- term
AHRI coeffs.
Vapor in, 𝑇𝑆𝐼 , 𝑝𝑆𝐼
Liquid out, 𝑇𝐿𝑂 , β„ŽπΏπ‘‚
Figure 3: Condensing unit with an upstream extracted economizer loop
2.3. Economized Condensing Unit with Downstream Extraction
Figure 4 illustrates a schematic of the downstream extraction configuration of an economized condensing unit. With
downstream extraction, a portion of refrigerant is removed after passing through the BPHE. The performance of the
two configurations are very similar. Downstream extraction ensures that only liquid enters the injection control valve
which improves its operation. However, the injection mass passes through the heat exchanger twice and the higher
liquid-side mass flow increases the pressure loss. Also, more connections and tubing are required on the subcooled
liquid side, all of which need to be insulated to ensure minimal heat gain. While the operational aspects are similar,
the simulation model must account for the different configurations.
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Condenser heat rejection: 𝑄̇𝑐
Liquid out,
𝑇𝐿𝑂 , hLO
π‘šΜ‡ 𝑐
Liquid in,
Subcool
TLI, hLI
Subcool
BPHE heat transfer 𝑄̇π‘₯
DT
Ambient π‘‡π‘Ž 𝑖𝑛 , π‘‰π‘ŽΜ‡
Saturated
π‘šΜ‡ 𝑐 = π‘šΜ‡ 𝑑 + π‘šΜ‡ 𝑖
Discharge,
𝑇𝑑 , β„Žπ‘‘
Condenser pc, Tc
Injected vapor TVO, pi, β„Žπ‘£π‘œ
Saturated in,
TSI, pSI
Desuperheat
π‘šΜ‡π‘–
π‘šΜ‡π‘‘
π‘šΜ‡π‘–
Compressor:
𝑉𝑑 , πœ”, πœ‚π‘‘ ,
or 10-coeffs
Suction vapor TS, pe, hS, S
Injection Valve
Figure 4: Condensing unit with a downstream extracted economizer loop
3. SYSTEM COMPONENT MODELS
The steady-state simulation model developed in this paper incorporates algebraic equations for the system components
as identified below. These individual component models are assembled into a comprehensive simulation for the
condenser unit configuratons described above. That comprehensive simulation metholodogy is presented in Section 4.
In formulating component models, the state postulate of thermodynamic properties is repeatedly used to determine
the condition of the refrigerant. The state postulate asserts that the state of a compressible substance is completely
defined by two independent properties (Bergman, Incropera, DeWitt, & Lavine, 2011). That is, two given properties
of a superheated refrigerant are sufficient to determine any other thermodynamic property. For instance, with values
of 𝑇𝑆 and 𝑝𝑒 at the compressor inlet, the compressor suction density πœŒπ‘† and enthalpy β„Žπ‘  can be determined by using
refrigerant databases such as RefProp 9.1 (Lemmon, Huber, & McLinden, 2010).
3.1 Compressor
The mass flow rate π‘šΜ‡π‘‘ delivered by the compressor to the system components is a function of compressor speed
πœ”, compressor suction density πœŒπ‘  , displacement 𝑉𝑑 , and volumetric efficiency πœ‚π‘£ (Stoecker, 2000),
π‘šΜ‡π‘‘ = πœ‚π‘£ πœ” πœŒπ‘  𝑉𝑑
(1)
The compressor power consumption depend on the evaporator pressure 𝑝𝑒 , condenser pressure 𝑝𝑐 , polytropic
exponent π‘˜, and compressor efficiency πœ‚π‘‘ (Stoecker, 2000),
Μ‡ = πœ‚π‘‘ (
π‘Šπ‘˜
π‘˜−1
𝑝𝑐 (π‘˜−1)/π‘˜
) πœ” 𝑉𝑑 𝑝𝑒 (1 − )
π‘˜
𝑝𝑒
(2)
As an alternative to Eqs. (1) and (2), compressor manufacturers provide rating information across an operating map
in accordance with CAN/ANSI/AHRI Standard 540 (2015). Compressor performance values are fit to a tencoefficient, third-order polynomial equation of the form
𝑋 = 𝐢1 + 𝐢2 𝑇𝑒 + 𝐢3 𝑇𝑐 + 𝐢4 𝑇𝑒2 + 𝐢5 𝑇𝑒 𝑇𝑐 + 𝐢6 𝑇𝑐2 + 𝐢7 𝑇𝑒3 + 𝐢8 𝑇𝑒2 𝑇𝑐 + 𝐢9 𝑇𝑒 𝑇𝑐2 + 𝐢10 𝑇𝑐3
(3)
Μ‡ or mass flow rate π‘šΜ‡π‘‘ . The appropriate rating coefficients 𝐢𝑖 are
where X can represent power consumption π‘Šπ‘˜
commonly provided by compressor manufacturers for engineers designing a system or components. Dabiri & Rice,
(1981) developed adjustments to the capacity version of Eq. (3) for the level of suction gas superheat (𝑇𝑆 − 𝑇𝑒 ).
Fischer & Rice, (1981) established a compressor shell loss factor π‘“π‘ž to compensate for heat transfer through the
compressor wall to the ambient air. An energy balance is applied on the compressor to determine the discharge
enthalpy β„Žπ‘‘ .
β„Žπ‘‘ =
Μ‡ (1 − π‘“π‘ž ) + π‘šΜ‡π‘– (β„Žπ‘£π‘œ ) + π‘šΜ‡π‘‘ β„Žπ‘†
π‘Šπ‘˜
π‘šΜ‡π‘
Knowing β„Žπ‘‘ and 𝑝𝐢 , a refrigerant database is used to determine the compressor discharge temperature 𝑇𝑑 .
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3.2 Air-Cooled Heat Exchanger
The heat exchanger is analyzed using a lumped method (Ge & Cropper, 2005), where the total heat exchanger volume
𝑉𝑐 is divided into a few limited control volumes. An average heat transfer coefficient (HTC) and pressure drop (P)
are determined for each control volume. HTC and P calculations are related to the heat exchanger geometry and
air/refrigerant inputs properties. The single-phase regions (desuperheat and subcool) have a little variation of HTC
with temperature when there is a constant mass flow rate. Therefore, each single-phase region is modeled as a single
control volume, 𝑉𝑠𝑒𝑝 and 𝑉𝑠𝑒𝑏 , respectively. In the two-phase region, the HTC is affected by the refrigerant quality
and varies along the tube. Refrigerant quality below 0.4 is observed to have a major change in HTC as shown in
Figure 5, Therefore, the two-phase region is divided into two control volumes, from saturated vapor to 0.4, represented
as π‘‰π‘ π‘Žπ‘‘1 , and from 0.4 to saturated liquid, represented as π‘‰π‘ π‘Žπ‘‘2 .
Figure 5: Experimental local heat transfer coefficient for condensation of various refrigerants and test
conditions (Ge & Cropper, 2005).
Air-cooled condensers usually have several circuits where the tubes are arranged in different ways to optimize heat
transfer and pressure drop. The detailed tube arrangement is not required in lumped approach. However, the condenser
geometry and other input such as fin type, fins density, finned length, number of tubes, tube’s inner diameter, and air
flow rate are required. The air/refrigerant flow is considered to be a cross-flow. The refrigerant flow rate leaves the
superheated control volume 𝑉𝑠𝑒𝑝 to the saturated control volumes π‘‰π‘ π‘Žπ‘‘1 and π‘‰π‘ π‘Žπ‘‘2 to the subcooling control
volume 𝑉𝑠𝑒𝑏 . The ratio of each control volume to the total volume 𝑉𝑐 is πœ’1,...,4 .
Air flow, π‘‡π‘Ž 𝑖𝑛 , π‘‰π‘ŽΜ‡
𝑉𝑠𝑒𝑏 = πœ’4 𝑉𝑐
𝑉𝑠𝑒𝑏
π‘‰π‘ π‘Žπ‘‘2
𝑉𝑠𝑒𝑝
π‘‰π‘ π‘Žπ‘‘1
π‘‰π‘ π‘Žπ‘‘2 = πœ’3 𝑉𝑐
π‘‰π‘ π‘Žπ‘‘1 = πœ’2 𝑉𝑐
𝑉𝑠𝑒𝑝 = πœ’1 𝑉𝑐
π‘šΜ‡ 𝐢
π‘‡π‘Ž π‘œπ‘’π‘‘
Figure 6: Four-section lumped method for the modelling of air-cooled finned-tubes hear exchanger
(Ge & Cropper, 2005).
The Refrigerant Side: The refrigerant side satisfies the mass conservation by the steady state assumption. Pressure
drop calculations are used to represent the momentum equation in each control volume. The energy balance for the jth
control volume is
𝑄̇𝑗 = π‘šΜ‡πΆ (β„Žπ‘–π‘› 𝑗 − β„Žπ‘œπ‘’π‘‘ 𝑗 ) , 𝑗 = 1,4
(5)
Where β„Žπ‘–π‘› 𝑗 and β„Žπ‘œπ‘’π‘‘ 𝑗 are the refrigerant enthalpy at the jth control volume inlet and outlet, respectively. At a specific
condenser pressure, β„Žπ‘–π‘› 𝑗 and β„Žπ‘œπ‘’π‘‘ 𝑗 are known since the quality at each interface in known.
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ο‚· Single Phase: For the single phase control volumes, 𝑉1 = 𝑉𝑠𝑒𝑝 and 𝑉4 = 𝑉𝑠𝑒𝑏 , the Gnielinski correlation is used
to calculate the heat transfer coefficient 𝛼1,4 . The correlation is valid for Prandtl number 0.5 ≤ π‘ƒπ‘Ÿ ≤ 2000 and
Reynolds number 3000 ≤ 𝑅𝑒𝐷𝑖 ≤ 5 × 106 (Ge & Cropper, 2005) (Bergman, et al., 2011). The pressure drop
𝑝𝑗 is calculated using Darcy Weisbach equation.
𝛼𝑗 =
(𝑓𝑗 /8)(𝑅𝑒𝐷𝑖 − 1000)π‘ƒπ‘Ÿπ‘—
π‘˜
(
) , 𝑗 = 1,4
𝐷𝑖 1 + 12.7(𝑓 /8)1/2 (π‘ƒπ‘Ÿ 2/3 − 1)
𝑗
𝑝𝑗 = 𝑓𝑗
(6)
𝑗
πœ’π‘— 𝐿 πœŒπ‘— 𝑣𝑗2
, 𝑗 = 1, 4
𝐷𝑖 2
(7)
Where π‘˜ is the thermal conductivity, 𝐷𝑖 is the tube inside diameter, 𝑣 is the refrigerant flow velocity, 𝜌 is the
refrigerant density, L is the tube length, and f is Darcy friction factor.
ο‚· Two Phase: In two-phase regions, Dobson and Chato correlation (Bergman, Incropera, DeWitt, & Lavine,
2011) provided the best prediction for the heat transfer as shown in Eq. (8). The two-phase pressure drop 𝑝𝑗
can be expressed as a function of the mass flow rate π‘šΜ‡π‘‘ , the tube length, and two-phase friction factor 𝑓𝑑𝑝 as
shown in Eq. (9).
π‘˜
2.22
𝛼𝑗 = (0.023𝑅𝑒𝐿0.8
π‘ƒπ‘ŸπΏ0.4
[1 + 0.98 ]) , 𝑗 = 2,3
(8)
𝑗
𝑗
𝐷𝑖
𝑋𝑑𝑑𝑗
4π‘šΜ‡ 2
2𝑓𝑑𝑝 πœ’π‘— 𝐿 [ 𝑑2 ]
πœ‹π·π‘–
𝑝𝑗 =
, 𝑗 = 2,3
𝐷𝑖
(9)
The refrigerant quality, saturated vapor density and kinematic viscosity, saturated liquid density, and saturated
liquid kinematic viscosity are represented in Lockhart–Martinelli parameter 𝑋𝑑𝑑 .
The Air Side: For the air side, the mass conservation is satisfied with a constant air mass flow rate π‘šΜ‡π‘Ž = πœŒπ‘Ž π‘‰π‘ŽΜ‡ , where
πœŒπ‘Ž is the density of the ambient air. The momentum equation is represented by the pressure drop calculations. The
heat transfer is described as a function of air mass flow rate π‘šΜ‡π‘Ž , isobaric heat capacity πΆπ‘π‘π‘Ž , air inlet temperature π‘‡π‘Žπ‘–π‘› ,
and air outlet temperature π‘‡π‘Žπ‘œπ‘’π‘‘ .
𝑄̇ = π‘šΜ‡π‘Ž πΆπ‘π‘π‘Ž (π‘‡π‘Žπ‘–π‘› − π‘‡π‘Žπ‘œπ‘’π‘‘ )
(10)
Wang correlations are used to calculate Colburn j-factor, which is used to calculate the airside heat transfer
coefficient π›Όπ‘Žπ‘–π‘Ÿ . Eq. (11). Wang, Lee, Chang, & Lin, (1999) correlations are used for the louvered fin and Wang, Jang,
& Chiou, (1999) correlations for the wavy fin, Wang, Chi, & Chang, (2000) for the plain fin, and Wang, Lee, & Sheu,
(2001) for the enhanced (slit) fin.
𝑗 𝐢𝑝 πΊπ‘šπ‘Žπ‘₯
π‘ƒπ‘Ÿ 2/3
𝐴𝑠
πœ‚π‘œ = 1 −
(1 − πœ‚π‘“π‘–π‘› )
π΄π‘Žπ‘–π‘Ÿ
(11)
π›Όπ‘Žπ‘–π‘Ÿ =
(12)
Where πΊπ‘šπ‘Žπ‘₯ is the mass flux of the air through the minimum area between the tubes and fins, 𝐴𝑠 is the secondary
(finned) surface area. Empirical relationships provide a fin efficiency πœ‚π‘“π‘–π‘› depending on the fin style.
The Overall Heat Transfer Coefficient: The overall heat transfer coefficient in each control volume (π‘ˆπ΄)𝑗 is
determined by accounting for conduction and convection resistances between the fluid, tube wall, and the air. The
heat transfer then calculated as following.
𝑄𝑗̇ = (π‘ˆπ΄)𝑗 βˆ†π‘‡π‘š 𝑗
(13)
Where
1
1
ln(𝐷0 /𝐷𝑖 )
1
=
+
+
,
(π‘ˆπ΄)𝑗 𝛼𝑗 πœ’π‘— π΄π‘Ÿπ‘’π‘“
2πœ‹π‘˜πœ’π‘— 𝐿
π›Όπ‘Žπ‘–π‘Ÿ πœ‚π‘œ πœ’π‘— π΄π‘Žπ‘–π‘Ÿ
𝑗 = 1…4
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πœ‚π‘œ is the air side area efficiency, π΄π‘Žπ‘–π‘Ÿ is the air side area, π΄π‘Ÿπ‘’π‘“ is the refrigerant side area, βˆ†π‘‡π‘š 𝑗 is the log mean
temperature difference for the 𝑗th region, and 𝐷0 is the outside tube diameter.
3.3 Brazed Plate Fluid to Fluid Heat Exchanger
A BPHE is designed to transfer heat from one fluid to another fluid across a solid surface. It is constructed from a
series of thin plates that are brazed together (Thulukkanam, 2013). The two fluids are allowed to flow through
alternating passages created between the thin plates. Geometric features on the plates are optimized to promote
efficient heat transfer at a minimal pressure loss. A BPHE is more efficiently implemented in a counter-flow
arrangement, as is shown in Figs. 3 and 4. When configured in the economized condensing unit, a flow of refrigerant
π‘šΜ‡πΏπΌ exiting the condenser enters the warm side of the BPHE with liquid-in temperature 𝑇𝐿𝐼 and pressure 𝑝𝐢 , and exits
at a liquid-out temperature 𝑇𝐿𝑂 . The cool refrigerant flow π‘šΜ‡π‘– enters the other side of the BPHE at saturated-in
temperature 𝑇𝑆𝐼 and pressure 𝑝𝑆𝐼 , and exits at a vapor-out temperature 𝑇𝑉𝑂 .
Physics-based models of the BPHE were created calculating the evaporation and condensation heat transfer coefficient
(Longo & Gasparella, 2007). Heat transfer coefficients and pressure drops in single phase, boiling and condensation
regions are calculated using different approaches (García-Cascales, Vera-García, Corberán-Salvador, & GonzálvezMaciá, 2007). The physics-based model provided unacceptable accuracy as shown in Figure 7a.
Wilson (1915) developed a method, which has been modified over the years, for calibrating overall HTC of the
theoretical model with experimental data. The Wilson Plot method is widely used in HVACR research, which utilizes
prescribed heat transfer relationships and establishes a curve fit for the HTC.
Alternatively, an Artificial Neural Network (ANN) was used to calibrate the BPHE (Lek & Guégan, 1999). ANNs are
a class of techniques that provide advantages to other data-driven modeling techniques such as the Wilson plot. They
have the ability to detect non-predefined relations, such as nonlinear effects and/or interactions. Over 2.4 million,
manufacturer-supplied data points were used to train the ANN. Three functions were created to model the BPHE
behavior for different models using a wide range of refrigerant properties for upstream and downstream extractions.
The ANN function for the injection mass flow that generates heat transfer necessary to achieve the specified injection
superheat 𝑇𝑉𝑂 − 𝑇𝑆𝐼 is
π‘šΜ‡π‘– = 𝑓(BPHE geometry, 𝑃𝑁, 𝑇𝐿𝐼 , π‘šΜ‡πΏπΌ , 𝑇𝑉𝑂 − 𝑇𝑆𝐼 , 𝑃𝑐 , 𝑇𝑐 , 𝜌𝐿𝐼 , 𝐢𝑝𝐿𝐼 , V𝐿𝐼 , 𝐾𝐿𝐼 )
(15)
The injection pressure that, with π‘šΜ‡π‘– , achieves the necessary 𝑇𝑉𝑂 is
𝑝𝑖 = 𝑓(BPHE geometry, 𝑃𝑁, 𝑇𝐿𝐼 , π‘šΜ‡πΏπΌ , π‘šΜ‡π‘– , 𝑇𝑉𝑂 − 𝑇𝑆𝐼 , 𝑃𝑐 , 𝑇𝑐 , 𝜌𝐿𝐼 , 𝐢𝑝𝐿𝐼 , V𝐿𝐼 , 𝐾𝐿𝐼 )
Heat transfer that is achieved with π‘šΜ‡π‘– and 𝑝𝑖 results in the warm, liquid-side outlet temperature,
𝑇𝐿𝑂 = 𝑓(BPHE geometry, 𝑃𝑁, 𝑇𝐿𝐼 , π‘šΜ‡πΏπΌ , π‘šΜ‡π‘– , 𝑇𝑉𝑂 − 𝑇𝑆𝐼 , 𝑃𝑐 , 𝑇𝑐 , 𝜌𝐿𝐼 , 𝐢𝑝𝐿𝐼 , V𝐿𝐼 , 𝐾𝐿𝐼 )
(16)
(17)
In the three functions of Eqs. (15), (16), and (17), the BPHE geometry includes the dimensions of the plates, 𝑃𝑁 is
number of plates, 𝑃𝑐 and 𝑇𝑐 are the critical pressure and temperature, respectively, 𝜌𝐿𝐼 , 𝐢𝑝𝐿𝐼 , V𝐿𝐼 , π‘Žπ‘›π‘‘ 𝐾𝐿𝐼 are the
density, isobaric heat capacity, kinematic viscosity, and thermal conductivity at the liquid line, respectively. The ANN
fits the training data points with R-squared 0.99985. The results of the ANN applied to the liquid-out temperature are
shown in Fig. 7b.
10%
80
ANN Training TLO (°F)
Physics Based Model TLO (°F)
100
60
40
20
0
0
20
40
60
80
100
Experimental TLO(°F)
(a)
Figure 7: Physics based model vs. ANN.
Target TLO (°F)
(b)
17th International Refrigeration and Air Conditioning Conference at Purdue, July 9-12, 2018
2617, Page 8
4. SIMULATION MODEL METHODOLOGY
4.1 Inputs
Condenser simulation model starts with specifying the inputs which are divided into four sections as follows:
1. Operating condition: 𝑇𝑒 , π‘‡π‘Ž 𝑖𝑛 , π‘‡π‘π‘œ , 𝑇𝑠 , π‘‰π‘ŽΜ‡ , and Refrigerant.
2. Condenser geometry inputs: Number of tubes,π·π‘œ , 𝐷𝑖 , finned length 𝐿, , fin type, fin density, and π΄π‘Žπ‘–π‘Ÿ .
3. Economizer loop information, including extraction type and BPHE geometry.
4. Compressor physical parameters: πœ”, 𝑉𝑑 , πœ‚π‘£ , πœ‚π‘‘ , or empirical constants: 𝐢𝑖 .
4.2 Standard Unit Model Simulation Method
After all the required input values are specified, the simulation model starts as follows:
1. The air heat transfer coefficient π›Όπ‘Žπ‘–π‘Ÿ and overall heat exchanger surface efficiency πœ‚π‘œ are determined from Eqs.
(11) and (12), respectively. The air-side heat transfer does not change with the state of the refrigerant, therefore,
does not need to be included within the convergence iterations.
2. Use the saturation pressure of the evaporator 𝑝𝑒 , suction temperature 𝑇𝑆 and refrigerant database to obtain the
suction enthalpy β„Žπ‘  and density πœŒπ‘  .
3. Assume an initial condenser temperature of 𝑇𝐢 = π‘‡π‘Ž 𝑖𝑛 + 10 °πΉ, and determine the associated saturation dew
pressure 𝑝𝐢 .
Μ‡ using either the physics-based approach in
4. Calculate evaporator mass flow rate π‘šΜ‡π‘‘ and compressor power π‘Šπ‘˜
Eqs. (1) and (2) or the empirical compressor coefficients in Eq. (3). If Eq. (3) is used, the evaporator mass flow
rate is adjusted according to the compressor constant temperature and return gas constant temperature.
5. If the condensing unit is not standard, Eqs. (15), (16), and (17) are used to calculate for the economizer loop
variables as described in section 4.3 and 4.4.
6. Use Eq. (4) to determine the compressor discharge enthalpy β„Žπ‘‘ . Using refrigerant database, the discharge
temperature 𝑇𝑑 is obtained.
7. Knowing the inlet and outlet refrigerant conditions for all control volumes in the condenser, the heat transfer from
the superheated and the two two-phase regions 𝑄̇1,2,3 are determined using Eq. (5).
8. Calculate the heat transfer coefficient in the condenser superheated and subcooling regions 𝛼1,4 from Eq. (6), and
the two two-phase regions 𝛼2,3 using Eq.(8).
9. Using 𝑄̇1,2,3 from Step 7, along with Eqs. (13) and (14), the condenser volume ratios for the superheated region
πœ’1 and the two two-phase regions πœ’2,3 are calculated.
10. Determine the subcooling region volume ratio πœ’4 = 1− (πœ’1 + πœ’2 + πœ’3 ).
11. The pressure drop in each condenser region 𝑝1,…,4 is calculated using Eq. (7) for the superheated and subcooling
regions and Eq. (9) for the two two-phase regions. Chisholm, (1983) approximates the single-phase and twophase pressure drop in a bend by simply substituting the equivalent length of the bend for the straight pipe length.
12. Calculate temperature π‘‡πΆπ‘œ that leaves the subcooling region by solving Eqs. (13), (14) and 𝑄̇4 = π‘šΜ‡π‘ 𝐢𝑝 (𝑇𝑐 − π‘‡πΆπ‘œ ).
13. Calculated condenser subcooling 𝑇𝑠𝑒𝑏 = 𝑇𝐢𝑏 − π‘‡πΆπ‘œ .
14. Compare the calculated condenser subcooling 𝑇𝑠𝑒𝑏 with the value user-specified 𝑇𝑠𝑐 . If |𝑇𝑠𝑒𝑏 − 𝑇𝑠𝑐 | is below a
convergence tolerance πœ€, the simulation will continue to to Step 15. If |𝑇𝑠𝑒𝑏 − 𝑇𝑠𝑐 | > πœ€, the condenser temperature
𝑇𝐢 will be adjusted 𝑇𝐢 = 𝑇𝐢 ± βˆ† and the simulation flow will go back to Step 4. The value of βˆ† is based on the
error value.
15. Determine condenser unit capacity, 𝑄̇ = π‘šΜ‡π‘‘ (β„Žπ‘† − β„ŽπΏπ‘‚ ), where β„ŽπΏπ‘‚ = β„ŽπΆπ‘œ for standard condensing units.
4.3 Upstream Extraction
As shown in the system schematic in Figure 3, the refrigerant mass flow rate that exits the condenser π‘šΜ‡π‘ is divided
into evaporator π‘šΜ‡π‘‘ and injection mass flow rate π‘šΜ‡π‘– ; π‘šΜ‡π‘ = π‘šΜ‡π‘‘ + π‘šΜ‡π‘– . The flow rate entering the liquid side of the
BPHE continues to the evaporator. Thus, π‘šΜ‡πΏπΌ = π‘šΜ‡π‘‘ in Eqs. (15), (16), and (17). In operation, the injection valve is
either a thermal expansion valve (TXV) or electronic expansion valve (EXV) and is set to provide a certain level of
injection superheat. That is, 𝑇𝑉𝑂 − 𝑇𝑆𝐼 is specified in the simulation. Assuming a constant enthalpy process across the
injection expansion valve, β„Žπ‘†πΌ = β„ŽπΆπ‘œ .
4.4 Downstream Extraction
As shown in the system schematic in Fig. 4, the refrigerant mass flow rate that exits the condenser flows directly into
the BPHE. Thus, π‘šΜ‡πΏπΌ = π‘šΜ‡π‘ in Eqs. (15), (16), and (17). The refrigerant mass flow rate that exits the BPHE is divided
17th International Refrigeration and Air Conditioning Conference at Purdue, July 9-12, 2018
2617, Page 9
to injection mass flow rate and evaporator mass flow rate. Again, 𝑇𝑉𝑂 − 𝑇𝑆𝐼 is specified in the simulation. Since β„Žπ‘†πΌ =
β„ŽπΏπ‘‚ which are both unknown, downstream extraction typically requires convergence, since the liquid-out conditions
require convergence of both condenser and BPHE models.
5. RESULTS
Results from the steady-state simulation model are compared with experimental results from different refrigeration
systems. The model results are in general within 5%. Figure 8 shows the comparison between the model results and
the experimental data for a refrigeration system with no brazed plate heat exchanger. Figure 9 shows the comparison
between the model results and the experimental data for a refrigeration system with brazed plate heat exchanger.
60000
Model Capacity (Btu/hr)
Model Power (W)
1900
1500
1100
700
50000
40000
30000
20000
10000
0
300
300
700
1100
1500
0
1900
Experimental Power (W)
10000
20000
30000
40000
50000
60000
Experimental Capacity (Btu/hr)
Figure 8: Simulation results vs. experimental data for a standard condenser unit.
7000
38000
10
33000
5%
Model Capacity (Btu/hr)
Model Power (W)
6500
6000
5500
5000
4500
4000
3500
3000
3000
4000
5000
6000
7000
10
5%
28000
23000
18000
13000
8000
3000
3000
13000
23000
33000
43000
Experimental Capacity (Btu/hr)
Experimental Power (W)
Figure 9: Simulation results vs. experimental data for a downstream economized condenser unit
6. CONCLUSIONS
This paper outlines a steady-state simulation model of the operation of an air-cooled condenser unit, which may
include an economizer loop. The model is based on fundamental principles, generalized and customary correlations.
An artificial neural network is used to model a brazed plate heat exchanger used for economizer loop, configured with
upstream and downstream extractions. The results from steady-state simulation model are within 5% when they are
compared to experimental results from different refrigeration systems operating under various evaporator conditions
and ambient temperatures.
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17th International Refrigeration and Air Conditioning Conference at Purdue, July 9-12, 2018
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