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Buoyancy-driven invasion percolation with migration and fragmentation
Wagner, G.; Meakin, P.; Feder, J.; Jøssang, T. - In: Physica A: Statistical Mechanics and its Applications 245 (1997) 3, pp. 217-230
A modified invasion percolation model that includes migration and fragmentation processes is presented. Fluid clusters were formed using the ordinary gravity invasion percolation model. Migration of fluid clusters was driven by buoyancy forces. The fluid formed a fragmented structure oriented in...
Persistent link: https://www.econbiz.de/10011063207
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Simulation of an adsorption solar cooling system
Hassan, H.Z.; Mohamad, A.A.; Bennacer, R. - In: Energy 36 (2011) 1, pp. 530-537
A more realistic theoretical simulation model for a tubular solar adsorption refrigerating system using activated … adsorption bed, the condenser, and the evaporator. The simulation technique takes into account the variations of ambient …, the pressure distribution inside the adsorption bed has been found nearly uniform and varying only with time. Furthermore …
Persistent link: https://www.econbiz.de/10011053904
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Modeling of a thermal adsorber powered by solar energy for refrigeration applications
Allouhi, A.; Kousksou, T.; Jamil, A.; Zeraouli, Y. - In: Energy 75 (2014) C, pp. 589-596
In this paper, we introduce a dynamic model of a thermal adsorber powered by solar energy. The system operates with silica gel (as an adsorbent) and water (as a refrigerant). The Finite Difference approximation was used; the obtained numerical model was then incorporated in a MATLAB code in order...
Persistent link: https://www.econbiz.de/10011055695
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Distribution network design under demand uncertainty using genetic algorithm and Monte Carlo simulation approach : a case study in pharmaceutical industry
Izadi, Arman; Kimiagari, Ali mohammad - In: Journal of industrial engineering international 10 (2014), pp. 1-9
Distribution network design as a strategic decision has long-term effect on tactical and operational supply chain management. In this research, the location-allocation problem is studied under demand uncertainty. The purposes of this study were to specify the optimal number and location of...
Persistent link: https://www.econbiz.de/10010235611
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Testing for cointegration in a double-LSTR framework
Grote, Claudia; Sibbertsen, Philipp - 2013
This paper investigates the finite-sample properties of the smooth transition-based cointegration test proposed by Kapetanios et al. (2006) when the data generating process under the alternative hypothesis is a globally stationary second order LSTR model. The provided procedure describes an...
Persistent link: https://www.econbiz.de/10010239745
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A managerial accounting case utilizing optimization and simulation
Miller, Louise - In: Journal of business case studies 9 (2013) 5, pp. 381-386
Persistent link: https://www.econbiz.de/10010198567
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Defect reduction justification by quantifying hidden costs in bearing production
Bagchi, Tapan - In: International journal of operations and quantitative … 19 (2013) 1, pp. 1-23
Persistent link: https://www.econbiz.de/10010198936
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Variance reduction with Monte Carlo estimates of error rates in multivariate classification
Weihs, Claus; Calzolari, Giorgio; Röhl, Michael Claus - 1999
Persistent link: https://www.econbiz.de/10009789908
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Operational conditions in regulatory benchmarking models : a Monte Carlo analysis
Nieswand, Maria; Seifert, Stefan - 2016
Benchmarking methods are widely used in the regulation of firms in network industries working under heterogeneous exogenous environments. In this paper we compare three recently developed estimators, namely conditional DEA (Daraio and Simar, 2005, 2007b), latent class SFA (Orea and Kumbhakar, 2004;...
Persistent link: https://www.econbiz.de/10011483291
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Oil price volatility models during coronavirus crisis : testing with appropriate models using further univariate GARCH and Monte Carlo simulation models
Bouazizi, Tarek; Lassoued, Mongi; Hadhek, Zouhaier - In: International Journal of Energy Economics and Policy : IJEEP 11 (2021) 1, pp. 281-292
Persistent link: https://www.econbiz.de/10012587611