Subtitle:

Książka = Book ; KS/6/2005/T42R01P03

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

[6], 41-60 pages ; 21 cm ; Bibliography p. 59-60

Type of object:

Book/Chapter

Abstract:

The paper addresses problems of application of the air pollution forecasting models for supporting decisions concerning environment protection on a regional scale. The controlled object considered encompasses a set of pointwise emission sources, with a known location and emission characteristics. A set of emission reduction technologies with known efficiency and the unit cost is available. The goal is to assign a specific technology to each source, to reach the assumed environmental standard, subject to some economic constraints. The problem is formally stated as integer type, constrained minimization of certain objective function. In this paper an alternative, continuous formulation of the original problem is presented, where the differentiability of the cost functional and constrains can be utilized. Gradient optimization methods have been implemented and tested on the real data for the selected region. The case study relates to the set of major power plants in Silesia Region (Poland) and the basie desulphurization technologies, which are to be allocated.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:198319

Source:

KS-2005-06-T42R01P03

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open