Adsorption Air Conditioner for Electric Vehicle Applications

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UCRL-JC-117938 Rev 1 PREPRINT Adsorption Air Conditioner for Electric Vehicle Applications Salvador M. Aceves This paper was prepared for submittal to the American Institute of Chemical Engineers San Francisco, CA November 13,199 July 27,199 Thisisa preprintof a paper intended for publication in a journal orproceedings. Sire changes may be made before publiation, this preprint is made available with the tindentanding that it will not be cited or reproduced without the permission of the pathor.

DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

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ADSORPTION AIR CONDITIONERS FOR ELECTRIC VEHICLE APPLICATIONS* Salvador M. Aceves Livermore Livermore National Laboratory Livermore, CA ABSTRACT This paper shows an analysis of the applicability of an adsorption system for electric vehicle (EV) air conditioning. Adsorption systems are designed and optimized to provide the required cooling for four combinations of vehicle characteristics and driving cycles. The resulting adsorption systems are compared with vapor compression air conditioners that can satisfy the cooling load. The objective function is the overall system weight, which includes the cooling system weight and the weight of the battery necessary to provide energy for air conditioner operation. The system with the minimum overall weight is considered to be the best, because a lower weight results in an increased vehicle range. The results indicate that, for the conditions analyzed in this paper, vapor compression air conditioners are superior to adsorption systems not only because they are lighter, but also because they have a higher COP and are more compact. %s work performed under the auspices of the US. Department of Energy by the Lawrence Livermore National Laboratory under Contract No. W-705-ENG-8. J 2

INTRODUCTION Heating and air conditioning (HVAC) requires far more energy than any other car accessory. Electric vehicles (EVs) have a low energy storage capacity, and HVAC may consume a substantial amount of the total energy stored, considerably reducing the vehicle range, which is one of the most important parameters for EV acceptability. Adsorption systems are well suited for EV applications because they can provide cooling when the vehicle is operating without consuming any battery energy, except for the small amount required for accessories. The system can then be regenerated during the vehicle charge period. This paper analyzes the applicability of adsorption systems to provide EV air conditioning. Adsorption systems are designed and optimized for the cooling loads existing in four combinations of vehicle equipment and driving scenarios. The resulting designs are compared with a vapor-compressed air conditioner that can satisfy the required cooling load. The figure of merit used is the overall weight of the system, which includes the weight of the battery required to provide the energy for operating the system. The best air conditioner is the one that can provide the required cooling with the minimum overall weight. Overall weight is used as a figure of merit because reducing the weight of the EV reduces the energy necessary for traction and therefore increases the range of the EV. VEHICLE DESCRIPTION AND LOAD CALCULATION In this analysis, air conditioning loads are calculated for four combinations of vehicle characteristics and driving scenarios. The four cases being analyzed are: Case 1: Short range electric vehicle, used for two trips daily, each lasting 30 minutes. All the vehicle windows are made of regular glass, with heat absorbing coating on the top 0.10 m of the windshield. 3

Case 2: Short range electric vehicle, used for two trips daily, each lasting 30 minutes. All the vehicle windows are made of heat reflecting (hot mirror) glass. Also, a solar powered fan operates whenever the vehicle is left in the sun, to reduce hot soak temperature. Case 3: Full range electric vehicle, used for two trips daily, each lasting 0 minutes. Same vehicle characteristics as for Case 1. Case : Full range electric vehicle,used for two trips daily, each lasting 0 minutes. Some vehicle characteristics as for Case 2. In addition to these characteristics, all the EVs have the dimensions of subcompact vehicles; operate with the minimum allowable amount of external air flow rate; and have an extra layer of insulation in the roof. The vehicle trips are as follows. The first trip starts from comfort conditions (by cooling and protecting the vehicle from the sun during the charge process). The second trip starts from full hot soak conditions. Load calculations consider two occupants. The cooling load in the first trip (starting from comfort conditions) is calculated by using steady-state estimates of the heat transfer due to insolation, conduction, ventilation, and metabolic load. The load calculation from hot soak uses a twodimensional radiative model of the vehicle interior, along with a model that simulates the transient thermal conditions inside the vehicle. The air conditioner power at the start of the second trip is calculated as the required power to cool the air inside the EV down to comfort conditions (Ta= 25"C, and specific humidity, w = 0.012 kg H20/Kg air) in 15 minutes. After reaching comfort conditions, the air conditioner power is controlled to keep the comfort conditions for the rest of the trip. The outdoor design conditions are, Tdb = 3"C,TWb = 22 C. Cooling load calculations are used in the following sections to design appropriate air conditioners for the four cases considered in this paper.

THE ADSORPTION SYSTEM Figure 1 is a schematic of the adsorption system used for EV air conditioning. All heat exchanger surfaces (including the adsorbent bed) are made of aluminum for reduced weight and enhanced heat transfer. Adsorbents release energy (the heat of adsorption) during the adsorption process. This energy has to be withdrawn from the system to obtain good cooling performance, because high temperatures reduce the capacity of the adsorbent to adsorb vapor. Cooling of the adsorbent is obtained by constructing the adsorbent bed as a plate-fin heat exchanger, with a coolant (water) running inside the tubes, and with the adsorbent pellets stored between the fins. Among the several pairs of adsorbent and adsorbate available, zeolite and water are selected for the present analysis. This combination is chosen because zeolite can adsorb large amounts of water, and because water has the highest density and latent heat of vaporization of all the common liquids (Tchernev and Emerson, 1988). This results in a large cooling effect per unit mass of adsorbent, and thus a small adsorbent mass to satisfy the cooling load. Other adsorption air conditioner configurations have been described and analyzed in the literature (see, for example, Miles and Shelton, 1991), and are known to have a higher COP than the configuration used for this analysis. However, these configurations are not very well suited for EV applications, because they require regeneration during operation, which may consume a substantial part of the EV energy. ANALYSIS AND OPTIMIZATION The main simplifying assumptions used in this analysis are as follows. 1. The heat exchangers, including the adsorbent bed, can be analyzed as operating in steady-state, with the effectiveness-ntu method (Kays and London, 198). The use of this method is condiered a good approximation for the present analysis, because heat exchanger temperatures vary slowly as a function of time. 5

2. The adsorption bed is isobaric throughout. This assumption is valid due to the large voids existing between the adsorbent particles, the high porosity of the particles and the relatively low flow rate of adsorbate (Guilleminot et al., 1987; Aittomaki and Harkonen, 1988). 3. Temperature changes inside the adsorption bed occur slowly, so that there is a local equilibrium between the vapor phase and the adsorbate concentration at all locations in the adsorption bed.. The evaporator temperature is consistant throughout the process. Controlling this temperature involves operating the evaporator valve so that only the precise amount of vapor flows into the adsorbent, generating the required cooling power to compensate for the heating load into the vehicle. The analysis is based on a distributed model of the adsorption bed and lumped models of the other system components. A set of equations is used to describe the adsorption system. This set of equations includes the energy balance equation for the adsorbent, the equilibrium equations for the adsorbent-adsorbate system, an equation for the heat of adsorption, a model for calculating the effective thermal conductivity of the adsorption bed, and efficiency-ntu correlations for the bed cooler heat exchanger, evaporator and condenser. The resulting system of equations is solved iteratively, by guessing initial values of system pressures and temperatures, and iterating until reaching convergence. Bed temperatures and concentrations are obtained from the energy balance equation for the adsorbent, by using an implicit, finite difference method. When convergence is obtained, the process is complete, and the program moves to the next time step. The process is concluded when the vapor pressure inside the bed is equal to the vapor pressure of the water in the evaporator, becuase at this point no more evaporation can occur, and the adsorption process stops. When the analysis of the adsorption process is complete, the conditions for desorption are calculated. During desorption, the adsorption bed is electrically heated.

Desorption results include the temperature and the water concentration in the adsorbent as a function of time; the time period required for desorption; and the COP for the overall process. The adsorption system designs resulting from the analysis are then optimized for the four cases being considered in the paper. As previously discussed, optimum designs have a minimum overall weight. Adsorption systems are optimized with respect to four independent variables: the distance between the fins inside the adsorption bed, 2d; and the three-dimensions of the bed cooler heat exchanger, a, b, c, where a and b are measured perpendicular to the air flow direction, and a and c are measured perpendicular to the coolant flow direction. In addition to this, the bed cooler heat exchanger fan is selected from a set of three fans (with input power respectively equal to 50, 83, and 108 W) as the fan that provides the optimum characteristics for system operation. RESULTS Table 1 lists, for the optimum designs, the weight of the different adsorption system components; the total weight of the adsorption and the vapor compression air conditioners; and the volume and COP for the adsorption system. The weight calculations assume that the EV uses high performance lead-acid batteries (Hardin, 1992), which represent the best developed and least costly technology. The weight calculations for the vapor compression air conditioners assume a system COP equal to 2.2, as an average of the values reported by Ikeda et al. (1990). The weights for the vapor compression air conditioner components are estimated from correlations obtained from the weight of current electric air conditioners. The system weights shown in Table 1 indicate that vapor compression air conditioners are up to 20% lighter than adsorption systems. In addition to this, vapor compression air conditioners are more compact, and have a higher COP. These factors make vapor compression systems better EV air conditioners, for the conditions analyzed

in this paper. However, new developments and heat transfer enhancements in adsorption systems (Mei, et al., 1992; Guilleminot et al., 1993), may result in more favorable conditions for applying adsorption systems to EV air conditioning. CONCULSIONS This paper has shown an analysis of the applicability of adsorption systems to provide EV air conditioning. Adsorption systems are desigped and optimized for four combinations of vehicle characteristics and driving schedules. The systems are optimized with respect to four decision variables and the selection of a fan. The results show the overall system weights for all the configurations. The overall system weights are compared with those for vapor compression air conditioners that can provide the required cooling load. The results indicate that vapor compression air conditioners are superior to adsorption systems for the conditions analyzed in this paper, not only becuase they are lighter, but also because they have a higer COP, and are more compact. However, heat transfer enhancements in adsorption beds may make EV adsorption systems more attractive in the near future. 8

REFERENCES 1. 2. 3.. 5. Aittomaki, A., and Harkonen, M., 1988, Modeling of Zeolite/Methanol Adsorption Heat Pump Process, Heat Recovery Systems and CHI?, Vol. 8, pp. 75-82. Guilleminot, J.J., Meunier, F., and Pakleza, J., 1987, Heat and Mass Transfer in a Non-Isothermal Fixed Bed Solid Adsorbent Reactor: A Uniform Pressure-Non- Uniform Temperature Case, International Journal of Heat and Mass Transfer, Vol. 30, pp. 1595-10. Guilleminot, J.J., Choisir, A., Chalfen, J.B., Nicolas, S., and Reymoney, J.L., 1993, Heat Transfer Intensification in Fixed Bed Adsorbers, Heat Recovery Systems and CHP, Vol. 13, pp. 297-300. Hardin, J., 1992, Battery Testing, Proceedings of the Automotive Technology Development Contractors Coordination Meeting, Dearborn, MI. Ikeda, S., Yoshii, Y., and Tamura, Y., 1990, Air Conditioning Electric Vehicles with an Electronically Driven Variable Speed Scroll Type Compressor, SAE Technical Paper Series #901738.. Kays, W.M., and London, A.L., 198, Compact Heat Exchangers, McGraw-Hill, New York, NY. 7. Mei, V.C., Chen, F.C., Lavan, Z., Collier, R.K., and Meckler, G., 1992, An Assessment of Desiccant Cooling and Dehumidification Technology, Oak Ridge National Laboratory Report ORNLKON 309, DE93 00222. 8. 9. Miles, D.J., and Shelton, S.V., 1991, Coupled Heat Transfer and Thermodynamic Adsorption Heat Pump Analysis, ASME AES-2, pp. 33-38. Tchernev, D.I., and Emerson, D.T., 1988, High Efficiency Regenerative Zeolite Heat Pump, ASHRAE Transaction, Vol. 9 part 2, pp. 202-2032. 9

Table 1. Optimum designs for the adsorption air conditioners, including system weight by component, battery weight to provide the required energy; overall weight for the zeolite-water adsorption air conditioner and the vapor compression air conditioner; and adsorption system volume and COP, for the four cases being considered in the analysis. Case Number 1 2 3 System Component Weight in kg Adsorbent Adsorbent Storage Water Evaporator Condenser Bed Cooling HZ, pump and fan Air Cooling HX, pump and fan 28 27 8 19 19, 8 5 5 38 11 5 5 32 29 10 Battery Weight 9 9 Overall Weight for Adsorption System 87 8 12 100 Overall Weight for Vapor Compression Air Conditioner 72 5 111 89 Adsorption System Volume and COP Volume, liters 10 7 150 117 COP 0.27 0.30 0.2 0.29 10

_- bed cooler and fan u u, adsorbent bed and heat exchange r condenser eva air cooler and fan '1 Figure I. Schematic diagram of an adsorption air conditioning system.