On the real-time emission control - case study application

• Autorzy: Holnicki P.
• Języki publikacji: EN

Abstrakty

EN

The paper addresses the problem of real-time emission control in a given set of air pollution sources. The approach applied utilizes the optimal control technique for distributed parameter systems. A set of pointwise emission sources with a predefined location and emission characteristics is considered as the controlled object. The problem is formulated as on-line minimization of an environmental cost function, by the respective modification of emission level in the controlled sources, according to the changing meteorological conditions (e.g. wind direction and velocity). Dispersion of atmospheric pollution is governed by a multi-layer, dynamic model of SOχ transport, which is the main forecasting tool used in the optimization algorithm. The objective function includes the environmental damage related to air quality as well as the cost of the controlling action. The environmental cost index depends on the current level of SOχ concentration and on the sensitivity of the area to this type of air pollution. The adjoint variable; related to the main transport equation of the forecasting model, is applied to calculate the gradient of the objective function in the main optimization procedure. The test computations have been performed for a set of major power plants in the industrial region of Upper Silesia (Poland).

Słowa kluczowe

EN

air pollution; mathematical modeling; emission control

PL

modelowanie matematyczne

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2006
• Tom: Vol. 35, no 2
• Strony: 351--367
• Opis fizyczny: Bibliogr. 13 poz.

Twórcy

autor

Holnicki P.

• Systems Research Institute, Polish Academy of Sciences Newelska 6, 01-447 Warsaw, Poland

Bibliografia

• CIECHANOWICZ, W., HOLNICKI, P., KAŁUSZKO, A., PARTYKA, A., UHRYNOWSKI, Z. and ŻOCHOWSKI, A. (1996) Energy and environment-problems of sustainable development. Control and Cybernetics 25, 1261-1271.
• CHANG, M.E. (2000) New Directions: Sustainability in strategic air quality planning. Atmosheric Environment 34, 2495 - 2496.
• HAURIE, A., KUBLER, J., CLAPPIER, A. and VAN DEN BERGH, H. (2004) A metamodeling approach for integrated assessment of air quality policies. Environment Modeling and Assessment 9, 1-12.
• HOLNICKI, P. (1995) A shape preserving interpolation; applications to semi-Lagrangian advection. Monthly Weather Review 123, 862 - 870.
• HOLNICKI, P. (1996) A Piecewise-Quintic Interpolation Scheme. Journal of Computational Physics 127, 316 - 329.
• HOLNICKI, P., NAHORSKI, Z. and ŻOCHOWSKI, A. (2000) Modeling of Environmental Processes (Polish). WSISiZ Publishers, Warsaw.
• HOLNICKI, P. and KAŁUSZKO, A. (2004) Decision support system for optimal emission reduction. Management of Environmental Quality 15, 250 - 257.
• HOLNICKI, P. (2004) Evaluation of Environmental Impact of Air Pollution Sources. Cybernetics and Systems 35, 595 - 606.
• LIONS, J.L. (1971) Optimal Control of Systems Governed by Partial Differential Equations. Springer, New York.
• LIONS, J.L. and MAGENES, E. (1968) Problemes aux limites non homogenes. Dunod, Paris 1968.
• MARTCHUK, G.I. (1995) . Adjoint Equations and Analysis of Complex Systems. Kluwer Academic Publishers. Dordrecht.
• PSCHENITCHNY, B.N. (1983) Method of Linearization (Russian). Nauka, Moscow.
• TROJANOWSKI, K. and MICHALEWICZ, Z. (2000) Evolutionary optimization in non-stationary environments. Journal of Computer Sciences and Technology 1, 93 - 124.