2. International coal analysis
3. Definition of the Problem
4. International Coal Linear Programming Outcome
The main objective of International Coal is to employ a team that purchases different fuels to maximise margins (profits) while keeping within environmental limits. This objective is solved systemically by linear programming.
The optimum profit is influenced by constraints and other variable factors such as future price, ROC rate, transmission rate, CO2 production, CO2 trading charge and a renewable source. In the answer report, the original maximum profit is €29,674,122.03. However, it can be changed by those factors.
There are also slack variables. This means that there is an unused available source. In the sensitivity report, there is an analysis of how much sensitivity there is to changes in outcomes when the figures are changed. Reduced cost is changed by optimum value and is significantly low. There is shadow pricing in each type of fuel. It indicates that change in the variable cell (optimal objective function) value per unit leads to an increase in the given Right Hand Side (R.H Side). This means that it has an influence on constraints.
Modern power system. (2010). Flue gas desulphurisation trends and opportunities. Available:http://www.modernpowersystems.com/features/featurefluegasdesulphurisationtrendsandopportunities/. Last accessed 2th December 2013.
US EPA. (2001). Air pollution control Technology Face sheet. Clean Coal Technologies. 1 (1), 1~5.