1991
DOI: 10.1016/0196-8904(91)90123-z
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Dynamic simulation of an aqua-ammonia absorption cooling system with refrigerant storage

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Cited by 23 publications
(7 citation statements)
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“…At steady state, Á ss = j (n * out y j,out − n * in y j,in )| 0 h j (T R ) Q * solar (10) The relative difference between the overall and steady-state efficiency at the end of the day is: Fig. 7 shows the variation of the solar-to-chemical energy conversion efficiency during 3 simulated solar runs: (a) idealized sunny day, (b) real sunny day, and (c) partly cloudy day, for both solar reac- tors (left: reactor 1 for the carbothermic reduction of ZnO; right: reactor 2 for the steam-gasification of petcoke).…”
Section: Energy Conversion Efficiency Analysismentioning
confidence: 99%
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“…At steady state, Á ss = j (n * out y j,out − n * in y j,in )| 0 h j (T R ) Q * solar (10) The relative difference between the overall and steady-state efficiency at the end of the day is: Fig. 7 shows the variation of the solar-to-chemical energy conversion efficiency during 3 simulated solar runs: (a) idealized sunny day, (b) real sunny day, and (c) partly cloudy day, for both solar reac- tors (left: reactor 1 for the carbothermic reduction of ZnO; right: reactor 2 for the steam-gasification of petcoke).…”
Section: Energy Conversion Efficiency Analysismentioning
confidence: 99%
“…Thus, their dynamic behavior is critical for efficient and safe operation. Previous studies on dynamics and control of solar thermal systems include flat plate solar collectors [2][3][4][5][6][7], solar heating [8], solar air conditioning and refrigeration [9][10][11], solar heating in space applications [12], solar steam generation [13][14][15][16][17], solar furnace operation [18], and solar thermal power plants [19,20]. Widely used is the software package TRN-SYS, which allows for dynamic simulation of conventional solar components and systems, but cannot handle solar thermochemical processes that involved coupled mass/heat transport of reactive flows.…”
Section: Introductionmentioning
confidence: 99%
“…Investigation the behavior of the absorption cycle in dynamic mode by applying the step change in the cycle [5,6,8,12,13] and during start-up [7,14,15] have been already carried out. Dynamic simulation of ammonia-water heat pump [8,[16][17][18][19] was accomplished to predict the transient performance and design characteristics as well.…”
Section: Introductionmentioning
confidence: 99%
“…lumped and distributed parameter models, and pointed out that most of the works were based on lumped parameter models with two exceptions (Butz and Stephan, [42]; Sano et al, [43]). Some other works not mentioned in Zhuo [37] included modeling of a periodically operating ammonia-water heat pump by Jeong, [44], a solar ammonia-water absorption cooling system with refrigerant storage by Kaushik et al, [45] and more recent works on hot water-driven LiBr-water absorption heat pump and chillers by Jeong et al, [46]; Bina et al, [47]; Kohlenbach and Ziegler, [48]; Fu et al, [49]. Distributed parameter model such as Butz and Stephan [50] required excessive computing time for the time scale to be simulated in the present study.…”
Section: Evaluation Of Solar Absorption Cooling Systemsmentioning
confidence: 99%