Auflistung nach Autor:in "Holnicki, Piotr"
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- KonferenzbeitragAir Quality Management Via the Forecasting Models(Informatics for Environmental Protection - Networking Environmental Information, 2005) Holnicki, Piotr; Kałuszko, AndrzejThe paper addresses the possible applications of air pollution forecasting models for supporting decisions concerning regional strategy of emission abatement or the real-time emission control. The approach is based on the integration of a dynamic, air pollution forecasting model with the respective optimization techniques. The first problem (static optimization) consists in the optimal selection of emission reduction technologies within a given set of power plants. The second 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. The formulation of the gradient optimization algorithm is based on the necessary optimality conditions for the problem. The test computations have been performed for the above tasks, basing on the set of the major power plants in the industrial region of Upper Silesia (Poland).
- KonferenzbeitragAssessment of Environmental Impact of Emission Sources in Integrated Air Quality Models(Environmental Informatics and Systems Research, 2007) Holnicki, PiotrThe quantitative evaluation of environmental impact of emission sources is an important step of integrated modeling and decision support. The problem is especially difficult in case of a complex, multi-source emission field. The ap- proach discussed in the paper is based on the forecasts of Eulerian type models of air pollution transport. The aim is to get a quantitative assessment of the contribution of the selected sources, according to the specified, environmental cost function. The approach utilizes the optimal control technique for distributed parameter systems. The adjoint equation, related to the main transport equation of the forecasting model, is applied to calculate the sensitivity of the cost func- tion to the emission intensity of the specified sources. An example implementation of a regional scale, multi-layer dy- namic model of SO2 transport is discussed as the main forecasting tool. The test computations have been performed for a set of the major power plants in a selected industrial region of Poland.
- KonferenzbeitragEvolutionary algorithm in the problem of SO2 emission reduction(Land- und Ernährungswirtschaft im Wandel – Aufgaben und Herausforderungen für die Agrar und Umweltinformatik, 2006) Stańczak, Jarosław; Holnicki, Piotr; Kaluszko, AndrzejThis work deals with the regional-scale strategy for air pollution abatement. The pivotal role in the presented approach plays the problem of optimal allocation of financial means for the long-term reduction of SO2 concentration in a given region. This problem is formally stated as a costconstrained minimization of the environmental damage function during the accepted time horizon. The optimal distribution of financial means for desulfurization technologies within the predefined set of controlled pollution sources is a difficult computational problem, thus a specialized evolutionary algorithm has been prepared to solve it. The proposed evolutionary method is equipped with a specialized encoding of solutions with properly designed genetic operators and a quite complicated method of fitness function computation considering imposed financial constraints. The test computations have been performed for the major power plants in Silesia Region (Poland).
- KonferenzbeitragThe Optimal Strategy of SO2 Emission Abatement Based on Evolutionary Algorithm(Environmental Informatics and Systems Research, 2007) Stanczak, Jaroslaw; Holnicki, PiotrThe paper deals with a problem of optimal allocation of financial means for the long-term reduction of SO2 concentration in a given region. The problem is formally stated as a cost-constrained minimization of the environmental damage function during the predefined time horizon. The optimal choice of desulfurization technologies in a given time interval, within the predefined set of the controlled power and heating plants is a difficult, integer-type optimization task, thus evolutionary algorithm has been chosen to solve it. The method has been implemented and tested on the real data for Silesia Region (Poland), with the set of the basic desulfurization technologies, which are to be allocated to the major power plants located in the region. Several versions of the imposed financial constraints and the related emission abatement strategies have been considered.
- KonferenzbeitragThe Real-Time Management of Air Quality on a Regional Scale(Managing Environmental Knowledge, 2006) Holnicki, PiotrIn the paper the problem of the real-time emission control is discussed, where the air quality forecast is based on the regional-scale model of air pollution transport. The problem formulation utilizes the optimal control technique for distributed parameter systems, which is integrated with the governing equations of air pollution dispersion process. The approach presented in the paper is sulfur-oriented and a dynamic model of sulphur oxides transport is the main forecasting tool used in the optimization algorithm. The control problem is formulated as on-line minimization of an environmental cost function, by the respective modification of emission level in the controlled emission sources, according to the changing meteorological conditions. A set of point-wise emission sources (power plants) with known location and emission characteristics is considered as the controlled object. The minimized objective function includes the air quality damage, as well as the cost of the controlling action. The emission control process is based on a gradient optimization algorithm. The back-trajectory technique (based on the adjoint equation solution) is used to calculate the gradient of the objective function in the main optimization procedure. The test computations have been performed for the set of the major power plants in the selected industrial region of Poland, and some determined meteorological episodes.