ASHRAE LO-09-064-2009 Experimental Measurement and Uncertainty Analysis on the Energy Performance of a Chilled Water Cooling Coil《冷却水冷冻线圈能量性能的实验测量和不确定度分析》.pdf
《ASHRAE LO-09-064-2009 Experimental Measurement and Uncertainty Analysis on the Energy Performance of a Chilled Water Cooling Coil《冷却水冷冻线圈能量性能的实验测量和不确定度分析》.pdf》由会员分享,可在线阅读,更多相关《ASHRAE LO-09-064-2009 Experimental Measurement and Uncertainty Analysis on the Energy Performance of a Chilled Water Cooling Coil《冷却水冷冻线圈能量性能的实验测量和不确定度分析》.pdf(13页珍藏版)》请在麦多课文档分享上搜索。
1、676 2009 ASHRAEABSTRACT In this study, an energy balance and uncertainty analysis was performed on a standard chilled water cooling coil mounted in a commercial Air Handling Unit operating under typical conditions with a conventional PID loop control. Two different sets of relative humidity transmit
2、ters and temperature sensors (high and low accuracy) were evaluated for measuring relative humidity and temperature of the moist air entering and exiting a cooling coil. The impact of the different errors in these sensors and installation on the uncertainty in the energy calcu-lation is presented. I
3、n addition, the affects of the transient behavior inherent in the cooling coil with respect to the energy balance was evaluated. This study gives insight to how an energy balance test coupled with an uncertainty analysis could be used to verify the cooling coil system performance and instrumentation
4、 output. Experimental results showed that the transient behavior inherent to the cooling coil had a negligible affect on the energy balance calculations and that by employ-ing high accuracy instrumentation and careful installation, expected energy balance results could be attained.INTRODUCTIONThe in
5、strumentation used in a control system of an HVAC application can have a profound effect on the operation and overall energy use of the system. Adequate performance and control of the HVAC system can be achieved through proper selection, installation and operation of the instrumentation used to cont
6、rol the system. Within this study, energy balance and uncertainty analy-ses were performed on a standard chilled water cooling coil mounted in a commercial Air Handling Unit operating under typical conditions with a conventional PID loop control. This study gives insight to how an energy balance tes
7、t coupled with an uncertainty analysis could be used to verify the cooling coil system performance and instrumentation output.For heating and cooling applications, if the energy balance between the moist air and water-side are found to agree, then it is likely that the instrumentation selection, ins
8、tal-lation and operation are as expected. The use of energy balance testing can validate theoretical models, confirm the installation of the equipment and instrumentation, aid in commissioning and substantiate design parameters and stan-dards for HVAC equipment.There are many opportunities for error
9、s in an experimen-tal measurement to arise. These errors can be divided into two categories: errors due to the physical hardware that is perform-ing the measurement (e.g., linearity, repeatability, hysteresis, sensitivity, distortion, responsiveness, etc.), and errors due to the placement/installati
10、on of this hardware. In addition, after the measurement is taken by the instrument, the signal from the sensor could be subject to error caused by distortion due to the wiring and physical terminations, the accuracy of the trans-ducer converting the signal, the accuracy of analog to digital conversi
11、on, and the ability of the software to process, display, and record the signals. For the experimental work in this study, several approaches were undertaken to minimize the error due to the instrument placement and include the use of the sampling tubes for the high accuracy (HA) exiting air relative
12、 humidity and temperature measurements, four point averaging temper-ature sensors for low accuracy (LA) exiting air temperature and direct contact liquid temperature sensors located in the agitated water flow stream at a pipe elbow. Experimental Measurement and Uncertainty Analysis on the Energy Per
13、formance of a Chilled Water Cooling CoilRyan D. Warren, PhD Rahul L. Navale, PhDStudent Member ASHRAE Student Member ASHRAERon M. Nelson, PhD, PE Curtis J. Klassen, PEMember ASHRAE Member ASHRAERyan D. Warren is a senior project engineer in the Energy and Carbon Management division of Nexant, Inc.,
14、Madison, WI. Ron M. Nelsonis a professor in the Department of Mechanical Engineering, Iowa State University, Ames, IA. Rahul L. Navale is a senior project engineer with Eaton Corporation, Eden Prairie, MN. Curtis J. Klaassen is a manager at Iowa Energy CenterEnergy Resource Station, Ankeny, IA.LO-09
15、-064 2009, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (www.ashrae.org). Published in ASHRAE Transactions 2009, vol. 115, part 2. For personal use only. Additional reproduction, distribution, or transmission in either print or digital form is not permitted without
16、 ASHRAEs prior written permission.ASHRAE Transactions 677Literature ReviewThe need for an uncertainty analysis in general is docu-mented in numerous sources (Coleman and Steele 1989, Dieck 1992). Past studies have been done showing the use of uncertainty analysis in cool storage inventory, quantifyi
17、ng operational energy and cost savings, and evaluating HVAC loads. In addition, research has been done evaluating instru-mentation performance relative to the manufacturers specifi-cations and substantiating the importance of correct instrument selection for system control. However, no studies were
18、found to show the use uncertainty analysis coupled with an energy balance analysis for commissioning purposes and/or verifying instrumentation performance.Performing a proper uncertainty analysis can be very complex and time consuming. There are several references that address uncertainty analysis a
19、s applied to the evaluation of HVAC systems. ASHRAE Guideline 2-1986 (ASHRAE 1986) provides a guideline for reporting uncertainty in results of experimental data as applied to HVAC equipment. DAlbora et al. (1999) evaluated the uncertainty in cool storage inventory using an energy balance method and
20、 Reddy (1999) has applied engineering uncertainty analysis in the evaluation of energy and cost savings of cooling system alter-natives based on field-monitored data. Thomas (1991) documented a study evaluating various humidity sensors used to measure the humidity of the air enter-ing and exiting a
21、cooling coil, which is required for determin-ing coil loads and supply-air quality. This study evaluates the total air-side and water-side loads; however, there is no mention of the instrumentation uncertainty or how this discrepancy could affect the load analysis. Joshi et al. (2005) evaluated the
22、performance of six differ-ent relative humidity sensors used in building HVAC applica-tions. Within this study, the accuracies of these sensors were assessed by comparison to the manufacturers specifications. It was found that only two sensors performed within the manu-facturers stated specification
23、s over the entire range of testing conditions. The results of this study substantiate the impor-tance of instrument selection and verifying instrument perfor-mance over the entire expected operating range for proper operation. The importance of relative humidity sensors and their impact on energy sa
24、vings and operation is addressed by Corsi (2004). Corsi (2004) documented issues relating to the perfor-mance and selection of relative humidity transmitters for HVAC systems. It is shown that instrumentation performance can significantly impact system control, and thus, energy use of HVAC systems a
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