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1. Surveillance of Fish Diseases in the Nordic Countries

Author

R-Pärnänen E, Olesen NJ, Jonsson G, Hellstrøm A, and Håstein T

Subjects
Veterinary medicine, SF600-1100
Abstract

Due to the increasing importance of disease problems in the fish farming industry and the impact disease may have on both feral and farmed fish in the Nordic countries, monitoring and surveillance on diseases have for many years been considered to be of socioeconomic importance. All the Nordic countries have a national legislation as basis for their surveillance and disease control in aquatic animals and regulations listing notifiable diseases of concern to the countries. The list of diseases vary between the countries. In addition, Denmark, Finland and Sweden are ruled by 3 as regards placing on the market of aquaculture animals and products. The surveillance for viral diseases in all the Nordic countries has mainly been based on the testing procedures given in the EU Commission 2.

Published
2001
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19. CDKN2A mutations and melanoma risk in the Icelandic population

Author

Goldstein, A M, Stacey, S N, Olafsson, J H, Jonsson, G F, Helgason, A, Sulem, P, Sigurgeirsson, B, Benediktsdottir, K R, Thorisdottir, K, Ragnarsson, R, Kjartansson, J, Kostic, J, Masson, G, Kristjansson, K, Gulcher, J R, Kong, A, Thorsteinsdottir, U, Rafnar, T, Tucker, M A, and Stefansson, K

Published
2008
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22. An application of extended Kalman filtering to heat exchanger models

Author

Jonsson, G. and Palsson, O.P.

Subjects
Parameter estimation -- Models, Heat exchangers -- Models, Kalman filtering -- Usage, Engineering and manufacturing industries, Science and technology
Abstract

This paper shows how an extended Kalman filter can be applied to the parameter estimation in continuous time heat exchanger models. The model is based on lumping of the heat exchanger. It is on state space form where the temperature in each section is a model state. By letting the model parameters be functions of the massflows and the temperatures one obtains a model that is capable of accurately describing the dynamics of the heat exchanger for all relevant working conditions. Since the parameters are functions of temperature, the model is nonlinear in the states and an extended Kalman filter is applied to the state estimation. Empirical relations of the heat transfer coefficients are incorporated in the model parameters in order to cope with the massflow and temperature dependence. Some of the parameters in the empirical relations are also estimated, thereby adjusting the formulas to the specific heat exchanger.

Published
1994

23. Modeling and parameter estimation of heat exchangers - a statistical approach

Author

Jonsson, G., Palsson, O.P., and Sejling, K.

Subjects
Heat exchangers -- Models, Thermodynamics -- Models, Engineering and manufacturing industries, Science and technology
Abstract

A continuous in time dynamic model of counterflow and parallel flow heat exchangers is presented. The model is on state space form and it is shown how to use statistical methods, Kalman filtering and least squares, to estimate the model parameters. Empirical relations for convection heat transfer are incorporated in the parameters in order to improve the model performance. The parameters in these empirical formulas may be estimated with the same methods, thereby adjusting the relations to the specific heat exchanger. As a case-study, a small counterflow plate heat exchanger is modeled and some results from the parameter estimation are given.

Published
1992

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