Journal Article

Mercury Air Emission from Coal-Fired Public Power Sector: Uncertainty and Its Monthly Distribution. Case Study from Poland

Zawadzki, Jarosław, Zasina, Damian

2017

Overview

The paper presents two aspects concerned with the mercury air emission inventory from coal-fired public power and energy plants: an uncertainty analysis, using Monte Carlo simulation (Journal of the American Statistical Association, 44(247), 335–341 1949 ) and the monthly distributions applying the Denton-Cholette approach (Dagum & Cholette 2006 ). The analysis determines uncertainty about the estimates mercury air emission from 1990 to 2012 including the development of air pollution control (APC) technologies in the Polish public power and energy sector, also the monthly distributions in comparison with previously obtained results (Hławiczka 2008 ). The uncertainty of mercury (Hg) content in fuel is 31.6% for hard coal and 42.4% for brown coal. The confidence interval for the estimated emission changed from [kg] (16,082.2; 16,242.2) in 1990 to (10,525.9;10,671.1) in 2012. However, the Denton-Cholette approach overestimates the emissions for the warmer periods of the year, but it could, however, in our view, be applied to attain the monthly distributions.

• Publisher: Springer International Publishing,Springer,Springer Nature B.V
• Subject: air / Air pollution / Air pollution control / Air quality management / Analysis / Applications of Mathematics / Case studies / Coal / Coal-fired power plants / confidence interval / Confidence intervals / Earth and Environmental Science / Emission inventories / emissions / energy / Environment / Industrial plant emissions / inventories / Lignite / Math. Appl. in Environmental Science / Mathematical Modeling and Industrial Mathematics / Mercury / Monte Carlo method / Monte Carlo simulation / Monthly distribution / Operations Research/Decision Theory / Poland / Pollution control / Power plants / Statistical analysis / Uncertainty / Uncertainty analysis