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Chromatographic separation of large quantities of high mass materials from coal derived liquids
76 Fuel science and technology (fundamental science, analysis, instrumentation) 03/01503 Water quafi management of mining lakes -a new field of aoolfed hvdmztloo” Klapper,
HI and G;ller,
2002, 29, (6-7),
W.
zita
Hydrochimica
et Hydrobiologica,
363-374.
This paper reviews the water quality management of lakes generated by underground and opencast coal mining, including the approaches to curb acidification during the mining process, the lake generation, and as a part of the water quality management by new eco-technologies using alky. Producing microbial processes. The extreme acidic environment and the adaptations of organisms and functioning of the biocenosis are emphasized.
ithm is developed and imposed to provide the decision maker with a representative and manageable Pareto-optimal set. In addition, fuzzy set theory is employed to extract the best compromise solution. Several optimization runs of the proposed approach are carried out on the standard IEEE 30-bus test system. The results demonstrate the capabilities of the proposed approach to generate well-distributed Pareto-optimal non-dominated solutions of the multiobjective EED problem in one single run. The comparison with the classical methods demonstrates the superiority of the proposed approach and confirms its potential to solve the multiobjective EED problem. A second-order uncertainty model for calculation of the interval system reliablllty
03/01508
Why, when and how do HVAC-systems pollute the Indoor environment and what to do about it? The European AIRLESS project 03/01504
Bluyssen, P. M. et al. Building and Environment. 2003, 38. (2), 209-225. From 1998 to 2000, a European project named AIRLESS was conducted by 12 institutes, universities and companies from seven European countries. The objective was to develop strategies, principles and protocols to improve and control the performance of HVACsystems and its components for incorporation in codes and guidelines. The first step was to define air pollution caused by and/or originating from HVAC-systems, to investigate ways to prevent this pollution and to define strategies to keep this pollution away. A summary of this first phase of the AIRLESS project is presented.
16
Fundamental science, analysis, instrumentation 03lO1505 A new approach to modelllng quantum dot concentrators (3-4),
A. J. et al. Solar Energy Materials and Solar Cells. 2003, 75,
363-371.
Luminescent collectors have advantages over geometric concentrators in that tracking is unnecessary and both direct and diffuse radiation can development has been limited by the be collected. However, performance of luminescent dyes. The authors have recently proposed a novel concentrator in which the dyes are replaced by quantum dots (QDs). Advantages over dyes include that the absorption threshold can be tuned by choice of dot diameter, and that the red shift between absorption and luminescence is related to the spread of dot sizes. In this paper the development of a self-consistent thermodynamic model for planar concentrators which allows for re-absorption by the QDs is discussed. 03/01!iO6
A new methodology for the study of FAC phenomenon based on a fuzzy rule system
Guimaraes, A. C. F. Anna/s of Nuclear Energy, 2003, 30. (7), 853-864. This work consists of the representation of the corrosion problem, FAC-‘Flow-Accelerated Corrosion’ in components, structures and passive systems in a nuclear power plant with aging, through a fuzzy rules system, in substitution to the conventional modelling and experimental analyses. Using data characteristic of the nature of the problem to be analysed, a reduced number of rules can be establish to represent the actual problem. The results can be visualized in a very satisfactory way thus providing the engineer with the knowledge to work in the space of solution of rules to do the necessary inferences. A niched Pareto genetic al orlthm for multlobjective environmentalhconom 7c dispatch
03/01507 Abido, Systems,
M. A. International
Journal
of Electrical
Power
& System S&V,
2003, 79, (3), 341-
351.
A second-order uncertainty model of the system reliability is studied in the paper. This model takes into account the fact that the reliability description of the system components is unreliable itself and has some degree of belief to it. It is assumed that there is no information about probability distributions on both first and second levels of the proposed second-order uncertainty model, the available information about the reliability of the system components is heterogeneous, and there is no information about independence of the system components. Algorithms for computing beliefs to the system reliability measures and for reducing the second-order model to the first-order one are proposed. These algorithms are based on the solution of a set of linear programming problems. Numerical examples illustrate the model.
03/01509 Analytical solution of the point kinetics equations by exponential mode analysis
FUEL SCIENCE AND TECHNOLOGY
Chatten,
Utkin, L. V. Reliability Engineering
& Energy
2003, 25, (2), 97-105.
A niched Pareto genetic algorithm (NPGA) based approach to solve the multiobjective environmental/economic dispatch (EED) problem is presented in this paper. The EED problem is formulated as a nonlinear constrained multiobjective optimization problem. The proposed NPGA based approach handles the problem as a multiobjective problem with competing and non-commensurable cost and emission objectives. One of the main advantages of the proposed approach is that there is no restriction on the number of optimized objectives. The proposed approach has a diversity-preserving mechanism to overcome the premature convergence problem. A hierarchical clustering algor-
Aboanber, A. E. Progress in Nuclear Energy, 2003. 42, (2). 179-197. A method based on an analytical exponential mode (AEM) is proposed as an analytical solution to the point kinetics equations. The method is valid and accurate for step point reactivity at any time. The solution contains one fast transient mode and six slow ones, and it resolves the stiffness problem in a very simple way. The proposed method is of general validity and involves no approximations. In addition, this analytical method constitutes an easy-to-implement algorithm that provides results with high accuracy for most applications. Also, a general form for the coefficients of the polynomial of the reactivity equation is derived which has a linear dependence on the inserted reactivity and on the physical reactor parameters. In deriving the coefficients of such a polynomial, a special mathematical formulation is presented. It is concluded that accurate calculation of thermal and fast reactor transients obtained analytically with step point reactivity is readily available with a simple representation to the reactivity equation.
Backpropagation neural networks for modeling gasoline consumption
03/01510
Nasr. G. E. et al. Energy
Conversion
and Management,
2003,
44, (6),
893-905.
This paper presents an artificial neural network (ANN) approach to gasoline consumption (GC) forecasting in Lebanon. In order to provide the forecasted gasoline consumption, the ANN interpolates among the GC and its determinants in a training data set. In this study, four ANN models are presented and implemented on real GC data. The first model is a univariate model based on past consumption values. The second model is a multivariate model based on GC time series and price (P). The third model is also a multivariate model based on GC and car registration (CR). Finally, the fourth model combines GC. P and CR. Forecasting performance measures, such as mean square errors and mean absolute deviations. are presented for all models.
Chromatographlc separation of far quantities of high mass materials from coal derived llqu8” ds
03/07511
Islas. C. A. et al. Preprints of Symposia - American Division of Fuel Chemistry,
Chemical
Society,
2002, 41, (2), 643-644.
Coal tar pitch, a coal liquefaction extract, and a low temperature coal oil were fractionated by silica gel column chromatography and use of acetonitrile, pyridine, and 1-methyl-2-pyrrolidinone as eluents. Elemental analyses of the achieved fractions delivered the composition in C, H, N and 0. The fractions were further characterized by UVfluorescence spectrometry, size exclusion chromatography, thermogravimetry, and solid state “C NMR spectroscopy. It was demonstrated that column chromatography was a good technique to separate coal derived liquids by molecular size and polarity.
Contour maps for sunshine ratio for Oman using radial basis function generated data
03/01512
Jervase, J. A. et al. Renewable Energy, 2003, 28, (3). 487-497. Contour maps for sunshine hours and sunshine ratios for Oman have been generated. The data to generate these maps were obtained using an RBF neural network model. This model estimates sunshine hours and ratios for a given point based on its latitude, longitude, altitude
Fuel and Energy
Abstract8
July 2003
261
HI and G;ller,
2002, 29, (6-7),
W.
zita
Hydrochimica
et Hydrobiologica,
363-374.
This paper reviews the water quality management of lakes generated by underground and opencast coal mining, including the approaches to curb acidification during the mining process, the lake generation, and as a part of the water quality management by new eco-technologies using alky. Producing microbial processes. The extreme acidic environment and the adaptations of organisms and functioning of the biocenosis are emphasized.
ithm is developed and imposed to provide the decision maker with a representative and manageable Pareto-optimal set. In addition, fuzzy set theory is employed to extract the best compromise solution. Several optimization runs of the proposed approach are carried out on the standard IEEE 30-bus test system. The results demonstrate the capabilities of the proposed approach to generate well-distributed Pareto-optimal non-dominated solutions of the multiobjective EED problem in one single run. The comparison with the classical methods demonstrates the superiority of the proposed approach and confirms its potential to solve the multiobjective EED problem. A second-order uncertainty model for calculation of the interval system reliablllty
03/01508
Why, when and how do HVAC-systems pollute the Indoor environment and what to do about it? The European AIRLESS project 03/01504
Bluyssen, P. M. et al. Building and Environment. 2003, 38. (2), 209-225. From 1998 to 2000, a European project named AIRLESS was conducted by 12 institutes, universities and companies from seven European countries. The objective was to develop strategies, principles and protocols to improve and control the performance of HVACsystems and its components for incorporation in codes and guidelines. The first step was to define air pollution caused by and/or originating from HVAC-systems, to investigate ways to prevent this pollution and to define strategies to keep this pollution away. A summary of this first phase of the AIRLESS project is presented.
16
Fundamental science, analysis, instrumentation 03lO1505 A new approach to modelllng quantum dot concentrators (3-4),
A. J. et al. Solar Energy Materials and Solar Cells. 2003, 75,
363-371.
Luminescent collectors have advantages over geometric concentrators in that tracking is unnecessary and both direct and diffuse radiation can development has been limited by the be collected. However, performance of luminescent dyes. The authors have recently proposed a novel concentrator in which the dyes are replaced by quantum dots (QDs). Advantages over dyes include that the absorption threshold can be tuned by choice of dot diameter, and that the red shift between absorption and luminescence is related to the spread of dot sizes. In this paper the development of a self-consistent thermodynamic model for planar concentrators which allows for re-absorption by the QDs is discussed. 03/01!iO6
A new methodology for the study of FAC phenomenon based on a fuzzy rule system
Guimaraes, A. C. F. Anna/s of Nuclear Energy, 2003, 30. (7), 853-864. This work consists of the representation of the corrosion problem, FAC-‘Flow-Accelerated Corrosion’ in components, structures and passive systems in a nuclear power plant with aging, through a fuzzy rules system, in substitution to the conventional modelling and experimental analyses. Using data characteristic of the nature of the problem to be analysed, a reduced number of rules can be establish to represent the actual problem. The results can be visualized in a very satisfactory way thus providing the engineer with the knowledge to work in the space of solution of rules to do the necessary inferences. A niched Pareto genetic al orlthm for multlobjective environmentalhconom 7c dispatch
03/01507 Abido, Systems,
M. A. International
Journal
of Electrical
Power
& System S&V,
2003, 79, (3), 341-
351.
A second-order uncertainty model of the system reliability is studied in the paper. This model takes into account the fact that the reliability description of the system components is unreliable itself and has some degree of belief to it. It is assumed that there is no information about probability distributions on both first and second levels of the proposed second-order uncertainty model, the available information about the reliability of the system components is heterogeneous, and there is no information about independence of the system components. Algorithms for computing beliefs to the system reliability measures and for reducing the second-order model to the first-order one are proposed. These algorithms are based on the solution of a set of linear programming problems. Numerical examples illustrate the model.
03/01509 Analytical solution of the point kinetics equations by exponential mode analysis
FUEL SCIENCE AND TECHNOLOGY
Chatten,
Utkin, L. V. Reliability Engineering
& Energy
2003, 25, (2), 97-105.
A niched Pareto genetic algorithm (NPGA) based approach to solve the multiobjective environmental/economic dispatch (EED) problem is presented in this paper. The EED problem is formulated as a nonlinear constrained multiobjective optimization problem. The proposed NPGA based approach handles the problem as a multiobjective problem with competing and non-commensurable cost and emission objectives. One of the main advantages of the proposed approach is that there is no restriction on the number of optimized objectives. The proposed approach has a diversity-preserving mechanism to overcome the premature convergence problem. A hierarchical clustering algor-
Aboanber, A. E. Progress in Nuclear Energy, 2003. 42, (2). 179-197. A method based on an analytical exponential mode (AEM) is proposed as an analytical solution to the point kinetics equations. The method is valid and accurate for step point reactivity at any time. The solution contains one fast transient mode and six slow ones, and it resolves the stiffness problem in a very simple way. The proposed method is of general validity and involves no approximations. In addition, this analytical method constitutes an easy-to-implement algorithm that provides results with high accuracy for most applications. Also, a general form for the coefficients of the polynomial of the reactivity equation is derived which has a linear dependence on the inserted reactivity and on the physical reactor parameters. In deriving the coefficients of such a polynomial, a special mathematical formulation is presented. It is concluded that accurate calculation of thermal and fast reactor transients obtained analytically with step point reactivity is readily available with a simple representation to the reactivity equation.
Backpropagation neural networks for modeling gasoline consumption
03/01510
Nasr. G. E. et al. Energy
Conversion
and Management,
2003,
44, (6),
893-905.
This paper presents an artificial neural network (ANN) approach to gasoline consumption (GC) forecasting in Lebanon. In order to provide the forecasted gasoline consumption, the ANN interpolates among the GC and its determinants in a training data set. In this study, four ANN models are presented and implemented on real GC data. The first model is a univariate model based on past consumption values. The second model is a multivariate model based on GC time series and price (P). The third model is also a multivariate model based on GC and car registration (CR). Finally, the fourth model combines GC. P and CR. Forecasting performance measures, such as mean square errors and mean absolute deviations. are presented for all models.
Chromatographlc separation of far quantities of high mass materials from coal derived llqu8” ds
03/07511
Islas. C. A. et al. Preprints of Symposia - American Division of Fuel Chemistry,
Chemical
Society,
2002, 41, (2), 643-644.
Coal tar pitch, a coal liquefaction extract, and a low temperature coal oil were fractionated by silica gel column chromatography and use of acetonitrile, pyridine, and 1-methyl-2-pyrrolidinone as eluents. Elemental analyses of the achieved fractions delivered the composition in C, H, N and 0. The fractions were further characterized by UVfluorescence spectrometry, size exclusion chromatography, thermogravimetry, and solid state “C NMR spectroscopy. It was demonstrated that column chromatography was a good technique to separate coal derived liquids by molecular size and polarity.
Contour maps for sunshine ratio for Oman using radial basis function generated data
03/01512
Jervase, J. A. et al. Renewable Energy, 2003, 28, (3). 487-497. Contour maps for sunshine hours and sunshine ratios for Oman have been generated. The data to generate these maps were obtained using an RBF neural network model. This model estimates sunshine hours and ratios for a given point based on its latitude, longitude, altitude
Fuel and Energy
Abstract8
July 2003
261