A mixed-integer non-linear programming model for CO2 emission reduction in the power generation sector

Electricity generation is considered to be one of the main contributing sources to the air pollution problem. It is, therefore, important to develop and implement effective control strategies to prevent the expected abrupt increase in emissions from this sector. Any control strategy must be suitable for local implementation and must also be economically viable. The main objective of this paper is to present optimisation models that can be used to determine the most cost effective strategy or combination of strategies to reduce CO2 emissions to a specific level. Optimisation results for an existing network of power plants show that it may be possible to reduce CO2 emissions by increasing power plant efficiency through a variety of adjustments in the plants. These include fuel balancing, fuel switching, and the implementation of improvement technologies to existing power plants to increase their thermal

[1]  Guo H. Huang,et al.  Development of an intelligent decision support system for air pollution control at coal-fired power plants , 2004, Expert Syst. Appl..

[2]  Richard J. Giglio,et al.  Planning Electric Power Generation: A Nonlinear Mixed Integer Model Employing Benders Decomposition , 1977 .

[3]  João C. N. Clímaco,et al.  A multiple objective linear programming model for power generation expansion planning , 1995 .

[4]  George Mavrotas,et al.  An energy planning approach based on mixed 0–1 Multiple Objective Linear Programming , 1999 .

[5]  A. Elkamel,et al.  Optimization Model for Energy Planning with CO2 Emission Considerations , 2005 .

[6]  Luiz Fernando Loureiro Legey,et al.  Alternative energy strategies for abatement of carbon emissions in Brazil A cost-benefit analysis , 1994 .

[7]  A. Gomes Martins,et al.  A multiple objective mixed integer linear programming model for power generation expansion planning , 2004 .

[8]  Ryuji Matsuhashi,et al.  A study on economic measures for CO2 reduction in Japan , 1993 .

[9]  Yutaka Genchi,et al.  Assessment of CO2 Emissions Reduction Potential by Using an Optimization Model for Regional Energy Supply Systems , 2003 .

[10]  I. M. Torrens,et al.  Industry perspectives on increasing the efficiency of coal-fired power generation , 1997 .

[11]  Jayant Sathaye,et al.  A macro-assessment of technology options for CO2 mitigation in China's energy system , 1994 .

[12]  Yehia El Mahgary,et al.  Costs of CO2 abatement in Egypt using both bottom-up and top-down approaches , 1994 .

[13]  Ryohei Yokoyama,et al.  A MILP decomposition approach to large scale optimization in structural design of energy supply systems , 2002 .

[14]  Carlos Romero,et al.  A multiple criteria decision making approach for electricity planning in Spain: economic versus environmental objectives , 2000, J. Oper. Res. Soc..

[15]  Hsunling Bai,et al.  The CO2 mitigation options for the electric sector. A case study of Taiwan , 1996 .