Two-stage fuzzy-stochastic robust programming: a hybrid model for regional air quality management

Journal Article · Tue Aug 15 04:00:00 EDT 2006 · Journal of the Air and Waste Management Association

OSTI ID:20790714

Li, Yongping; Huang, Guo H; Veawab, Amornvadee; Nie, Xianghui; Liu, Lei ^[1]

---

1. University of Regina, Regina, SK (Canada). Environmental Systems Engineering Program

In this study, a hybrid two-stage fuzzy-stochastic robust programming (TFSRP) model is developed and applied to the planning of an air-quality management system. As an extension of existing fuzzy-robust programming and two stage stochastic programming methods, the TFSRP can explicitly address complexities and uncertainties of the study system without unrealistic simplifications. Uncertain parameters can be expressed as probability density and/or fuzzy membership functions, such that robustness of the optimization efforts can be enhanced. Moreover, economic penalties as corrective measures against any infeasibilities arising from the uncertainties are taken into account. This method can, thus, provide a linkage to predefined policies determined by authorities that have to be respected when a modeling effort is undertaken. In its solution algorithm, the fuzzy decision space can be delimited through specification of the uncertainties using dimensional enlargement of the original fuzzy constraints. The developed model is applied to a case study of regional air quality management at two coal-fired power plants considered as major sulfur dioxide emission sources. The results indicate that reasonable solutions have been obtained. The solutions can be used for further generating pollution-mitigation alternatives with minimized system costs and for providing a more solid support for sound environmental decisions. 61 refs., 7 figs., 6 tabs.

• OSTI ID: 20790714
• Journal Information: Journal of the Air and Waste Management Association, Journal Name: Journal of the Air and Waste Management Association Journal Issue: 8 Vol. 56; ISSN JAWAEB; ISSN 1047-3289
• Country of Publication: United States
• Language: English

Related Subjects

01 COAL, LIGNITE, AND PEAT
20 FOSSIL-FUELED POWER PLANTS
AIR POLLUTION CONTROL
AIR QUALITY
ALLOCATIONS
CHARGES
COAL
COST
DATA COVARIANCES
EMISSION
FOSSIL-FUEL POWER PLANTS
FUZZY LOGIC
HYBRID SYSTEMS
LINEAR PROGRAMMING
MANAGEMENT
MATHEMATICAL MODELS
PROBABILISTIC ESTIMATION
REGIONAL ANALYSIS
STOCHASTIC PROCESSES
SULFUR DIOXIDE