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A socioeconomic model of induced innovations for Argentine agricultural development
Janvry, Alain de - In: The quarterly journal of economics 87 (1973) 3, pp. 410-435
Persistent link: https://www.econbiz.de/10003062706
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The sensitivity of quarterly models of wage determination to aggregation assumptions
Rowley, J. C. R.; Wilton, D. A. - In: The quarterly journal of economics 88 (1974) 4, pp. 671-680
Persistent link: https://www.econbiz.de/10002700506
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A study of an income expenditure model
Possen, U. M. - In: The quarterly journal of economics 88 (1974) 3, pp. 434-453
Persistent link: https://www.econbiz.de/10002664696
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A stochastic learning model of economic behavior
Cross, John G. - In: The quarterly journal of economics 87 (1973) 2, pp. 239-266
Persistent link: https://www.econbiz.de/10002042141
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Nonconstant returns to scale and the technical change frontier
Conlisk, John - In: The quarterly journal of economics 85 (1971) 3, pp. 483-493
Persistent link: https://www.econbiz.de/10002022995
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Thermal behavior and performance assessment of a solar adsorption cooling system with finned adsorber
El Fadar, Abdellah - In: Energy 83 (2015) C, pp. 674-684
This paper presents a modeling and optimization investigation of a solar driven adsorption cooling system working with …
Persistent link: https://www.econbiz.de/10011264377
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Mathematical modeling of multiple-effect evaporators and energy economy
Kaya, Durmus; Ibrahim Sarac, H. - In: Energy 32 (2007) 8, pp. 1536-1542
In this study, a mathematical model was developed for multiple-effect evaporators. These evaporators have cocurrent, countercurrent and parallel flow operation options. Each operation was investigated with and without pre-heaters. The effect of pre-heating on evaporation process was investigated...
Persistent link: https://www.econbiz.de/10010807294
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Optimum design parameters and operating condition for maximum power of a direct methanol fuel cell using analytical model and genetic algorithm
Tafaoli-Masoule, M.; Bahrami, A.; Elsayed, E.M. - In: Energy 70 (2014) C, pp. 643-652
It is well known that anode and cathode pressures, cell temperature and channel geometry are the effective parameters in the performance of DMFC (direct methanol fuel cell). In the present paper, the GA (genetic algorithm) as one of the most powerful optimization tools is applied to determine...
Persistent link: https://www.econbiz.de/10010807957
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Review of computational heat and mass transfer modeling in polymer-electrolyte-membrane (PEM) fuel cells
Siegel, C. - In: Energy 33 (2008) 9, pp. 1331-1352
-dimensional, large-scale setups, is presented with an emphasis on heat and mass transfer. Modeling strategies and commonly used … partial differential equations. Finally, an overview of commonly used simulation software for fuel cell modeling is given. A … finishes with a survey of outstanding issues and recent modeling trends. …
Persistent link: https://www.econbiz.de/10010808232
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Optimum biomass drying for combustion – A modeling approach
Gebreegziabher, Tesfaldet; Oyedun, Adetoyese Olajire; … - In: Energy 53 (2013) C, pp. 67-73
Drying biomass as fuel in a combustion process can increase the combustion efficiency, reduce pollution and improve operation. On the other hand, drying biomass is an expensive process that requires huge capital investment and energy input. The difficulty of removing moisture from biomass is...
Persistent link: https://www.econbiz.de/10010808475