A Multiperiod Mathematical Model for Integrating Planning and SO₂ Mitigation in the Power Generation Sector

Abstract

The power generation sector contributes directly to SO 2 emissions, causing economic and environmental damage. These SO 2 emissions come mostly from the combustion of fossil fuels for power generation. A multiperiod mixed-integer nonlinear model for power generation planning with SO 2 consideration is presented in this paper. The objective of the model is to determine the optimal mix of energy supply sources and SO 2 emission mitigation options that meet a specified electricity demand and SO 2 emission targets at minimum cost. The model is written in a general format and it is illustrated in a case study from Ontario Power Generation (OPG), Canada. SO 2 emissions from power generation can be reduced through fuel balancing (which is simply to increase production from non-fossil-fuel power plants and decrease production from fossil-fuel power plants), fuel substitution or the use of low sulfur fuels, and conventional flue gas desulfurization. These options were considered in the model and the results, for the case study, show that if no SO 2 emissions reduction target is imposed, the model does not tend to apply any of the options considered. However, the model recommends building more power plants to meet the electricity demand for the coming 10 years. The electricity cost increases to ∼8.2 cents/kWh in year 2017. For another case study in which different SO 2 reduction targets are considered, the model shows that fuel balancing and fuel switching must be applied immediately in several plants.

A stochastic programming model for an energy planning problem: formulation, solution method and application

“…Studies on power generation expansion planning problem (GEP) have received extensive interest due to environmental concerns and huge investment in construction of power plants. Optimisation models are developed to obtain the optimal power generation configuration in order to minimise the total cost while satisfying electricity demand and emission constraints (Hashim et al, 2005;Elkamel et al, 2009;Mirzaesmaeeli et al, 2010;Ba-Shammakh, 2011;Koltsaklis et al, 2014;Koltsaklis and Georgiadis, 2015b;Ahmadi et al, 2015;Elsholkami and Elkamel, 2017). A number of previous works on the GEP has considered renewable energy penetration including Muis et al (2011), Bakirtzis et al (2012), Zhang et al (2013) and Lara et al (2018).…”

Optimal Strategies of Mitigation Options for NOx Emissions in the Power Generation Industry

“…Ba-Shammakh et al [16] formulated a mixed-integer nonlinear programming (MINLP) model considering increasing power plant efficiency as a mitigation option to reduce CO 2 emissions. Also, a multiperiod MINLP model was suggested by Ba-Shammakh [17] for integrating planning and SO 2 mitigation in the power generation sector. Moreover, Ye et al [18] built a multiperiod multiregion optimization model considering synergetic CO 2 and air pollutants control in China's power sector between 2010 and 2030 which is in great need in terms of supporting decision-making.…”