DocumentCode
1737052
Title
A model for using control theory to design sustainable policies for greenhouse gas emissions
Author
Chu, Bing ; Duncan, Stephen ; Papachristodoulou, Antonis
Author_Institution
Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK
fYear
2011
Firstpage
748
Lastpage
753
Abstract
Reducing greenhouse gas emissions is now an important and urgent matter. A key observation is that systems control theory can be used to design the optimal policy that both achieves sustainable levels of emissions of CO2 (and other greenhouse gases) and minimises the impact on the economy, while explicitly addressing the high levels of uncertainty associated with predictions of future emissions. As an initial result, in this paper a test bed for the above approach - the UK 4see model - is introduced, which is suitable for using control theory to design sustainable policies for greenhouse gas emissions. The basic structure and principle of the model is described and its implementation in Matlab Simulink is presented. A linearised state space model is then obtained, analysed and further simplified via standard model reduction techniques. The model established in this paper provides a method of predicting future greenhouse gas emission levels and economic growth against different energy policies and forms the basis for future research on using systems control theory to design optimal sustainable policies.
Keywords
air pollution control; environmental economics; environmental legislation; reduced order systems; state-space methods; sustainable development; Matlab Simulink; UK 4see model; carbon dioxide emission level; control theory; economic growth; greenhouse gas emission reduction; linearised state space model; optimal sustainable policies; standard model reduction techniques; Analytical models; Carbon dioxide; Economics; Indexes; Industries; Mathematical model; Reduced order systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications (CCA), 2011 IEEE International Conference on
Conference_Location
Denver, CO
Print_ISBN
978-1-4577-1062-9
Electronic_ISBN
978-1-4577-1061-2
Type
conf
DOI
10.1109/CCA.2011.6044453
Filename
6044453
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