ASHRAE AN-04-4-1-2004 Wheel Selection for Heat and Energy Recovery in Simple HVAC Ventilation Design Problems《在简单的暖通空调通风设计问题上的热量和能量回收车轮选择》.pdf
《ASHRAE AN-04-4-1-2004 Wheel Selection for Heat and Energy Recovery in Simple HVAC Ventilation Design Problems《在简单的暖通空调通风设计问题上的热量和能量回收车轮选择》.pdf》由会员分享,可在线阅读,更多相关《ASHRAE AN-04-4-1-2004 Wheel Selection for Heat and Energy Recovery in Simple HVAC Ventilation Design Problems《在简单的暖通空调通风设计问题上的热量和能量回收车轮选择》.pdf(18页珍藏版)》请在麦多课文档分享上搜索。
1、AN-04-4-1 Wheel Selection for Heat and Energy Recovery in Simple HVAC Ventilation Design Problems Yaw Asiedu, Ph.D. Robert W. Besant, P.Eng. Fellow ASHRAE Associate Member ASHRAE Carey J. Simonson, Ph.D., P.Eng. ABSTRACT This paper shows how air-to-air heat and enera system design problems can be fo
2、rmulated for a simple HVAC conjg- uration andsolved for the least life-cycle cost system while still retaining a small payback period. Mathematical expressions anddesign tables arepresented to facilitate the design process. The design process is illustratedfor the city of Chicago where both large he
3、ating and cooling loads occur in HVAC applica- tions. The example design problem presented shows that paybackperiods of less than one year are often achieved for energy wheels and sometimes for sensible heat exchangers. The life-cycle cost savings for auxilialy heating and cooling ventilation air ja
4、r exceeds the capital cost of the energy exchanger (sensible or total), even when only a ten-year life cycle is considered. INTRODUCTION In the past, energy recovery systems in buildings have been designed with the main focus on sensible heat transfer and with little emphasis on latent heat transfer
5、 or moisture transfer (Cames 1984; Sauer and Howell 198 1). Typically, fixed plate, sensible heat transfer wheel, heat pipe, and coil run-around loop heat exchangers have been used (Besant and Simonson 2000). These heat exchangers cannot, however, be used to directly control the indoor humidity. Thi
6、s is usually performed using auxiliary cooling and heating equipment, which is costly to install and operate. The high cost of these systems for buildings, especially in hot, humid climates, has led to interest in energy wheels (enthalpy wheels or desiccant- coated rotary energy exchangers). Althoug
7、h energy wheels can transfer both heat and moisture, their use does not elimi- nate the need for auxiliary heating and cooling equipment during extreme weather conditions. Thus, HVAC design engi- neers are often faced with deciding on the type and size of energy or heat recovery device to use for ea
8、ch given applica- tion to ensure appropriate indoor air quality and humidity and temperature control at minimal cost and maximum benefit to the system user. The sizing of heat exchangers and energy wheels for ventilation heat and moisture exchange in HVAC applications has not been done accurately an
9、d cost-effectively because it is a complex design problem requiring many pieces of informa- tion. Information required includes, not only mass flow rate of ventilation air and capital cost of the energy recovery device, but also the cost of auxiliary heating and cooling equipment and their operating
10、 costs, operating setpoints for temperature and humidity, and the ambient air temperature and humidity properties for an entire typical weather year. The calculations needed to evaluate the operating energy cost involve functions ofthese parameters integrated over time and are quite complex (ASHRAE
11、2000). Besant and Simonson (2000) present a discussion of the various configurations of heat and energy recovery devices and guidelines on how the operating energy cost may be evaluated. It is the purpose of this paper to show how this air-to-air heat and energy system design problem can be formulat
12、ed for a simple HVAC configuration and solved for the least life-cycle cost system while still retaining a small payback period. The design process is illustrated for the city of Chicago, where both large heating and cooling loads occur in HVAC applications. Although detailed mathematical expression
13、s are presented to calculate the operating energy demands, design tables are presented to facilitate the design process. Finally, an example design problem is presented, showing that payback periods of less than one year are often _ Yaw Asiedu is an operational research analyst at the Department of
14、National Defence, Ottawa, Ont. Robert W. Besant is professor emeritus and Carey J. Simonson is an associate professor in the Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, S.K., Canada. 02004 ASHRAE. 381 achieved for energy wheels and sometimes for heat exchang- ers. Th
15、e life-cycle cost savings for auxiliary heating and cool- ing ventilation air far exceeds the capital cost of the heat exchanger or energy wheel, even when only a ten-year life cycle is considered. .- CO Il“ THE WHEEL SELECTION PROBLEM Figure 1 shows a schematic of the airflow paths in an HVAC syste
16、m, which includes a heat exchanger or energy wheel transfeming heat andor water vapor between the supply and exhaust airstreams. It is assumed that the bypass will be used when the complete heat exchanger or energy wheel trans- fer capacity is not needed to meet the design conditions (Tdes, Hdes) fo
17、r the conditioned space (Simonson et ai. 2000a, 2000b). Furthermore, when the heat exchanger or energy wheel cannot meet these required design conditions, recircu- lated air and auxiliary heating and cooling may be used sepa- rately or in combination. More complex HVAC design configurations than tha
18、t shown in Figure 1 are left to other studies. In selecting an energy wheel for an application with air flows, as shown in Figure 1, it is not economical to size the wheel based on only the most severe weather conditions. A better approach is to base the choice on the HVAC application needs and the
19、yearly weather data for the location. The hourly weather data, e.g., temperatures and enthalpies, in a location may be plotted as monotonically increasing functions with the time (number of hours in the year) as the abscissa and enthalpy or temperature as the ordinate. Figure 2 shows an example plot
20、. Time zero corresponds to the lowest ambient hourly temperature or enthalpy and hour 8,760 corresponds to the highest ones. The designer can use the typical hourly weather data for the city of interest; however, to make this chart easier to use in the design of systems, an analytical expression may
21、 be fitted to the temperature and enthalpy distributions. There are two functions that fit the weather data quite well for many North American cities. These are the hyperbolic sine function, T or h = y + a sinh(bt+z) , (1) Recimulaled Air I Conditioncd Auxiliary Space r Figure I Schematic of a HVAC
22、system with air-to-air heat/ energy recovery Heating nnd Cuoling and the inverse Gompertz given by where T and h are the ambient air temperature and enthalpy, respectively, y, z, a, b, k, I, m, and n are constants to be deter- mined through regression analysis, and t is the time in hours of the year
23、. While Equation 2 often fits the yearly weather data better, it is very difficult to integrate without resorting to numerical methods. This makes Equation 1 more suitable for evaluating the various parameters introduced later, which are needed to arrive at a good design. Therefore, for the remainde
24、r of this paper, Equation 1 is used. Arranging the ambient temperature and enthalpy as shown in Figures 2 and 3 is very useful because the area between these lines and supply conditions to the space (Tdes and hdes) represent the annual heating and cooling energy required to condition the outdoor ven
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