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Analysis and control design of sustainable policies for greenhouse gas emissions

Analysis and control design of sustainable policies for greenhouse gas emissions
Analysis and control design of sustainable policies for greenhouse gas emissions
Reducing greenhouse gas emissions is now an urgent priority. Systems control theory, and in particular feedback control, can be helpful in designing policies that achieve sustainable levels of emissions of CO2 (and other greenhouse gases) while minimizing the impact on the economy, and at the same time explicitly addressing the high levels of uncertainty associated with predictions of future emissions. In this paper, we describe preliminary results for an approach where model predictive control (MPC) is applied to a model of the UK economy (UK 4see model) as a test bed to design sustainable policies for greenhouse gas emissions. Using feedback control, the policies are updated on the basis of the actual emissions, rather than on the predicted level of emissions. The basic structure and principle of the UK 4see model is described and its implementation in Simulink is presented. A linearized state space model is obtained and model predictive control is applied to design policies for CO2 emissions. Simulation results are presented to demonstrate the effectiveness of the proposed method. The preliminary results obtained in this paper illustrate the strength of the proposed design approach and form the basis for future research on using systems control theory to design optimal sustainable policies
1359-4311
420-431
Chu, Bing
555a86a5-0198-4242-8525-3492349d4f0f
Duncan, Stephen
7ffefc44-ffdf-4cd1-aeac-de62671b3f1a
Papachristodoulou, Antonis
e3109556-2fc6-4de8-9324-2601777beab6
Hepburn, Cameron
58a9308b-87c0-48d0-ba98-8970bda7c694
Chu, Bing
555a86a5-0198-4242-8525-3492349d4f0f
Duncan, Stephen
7ffefc44-ffdf-4cd1-aeac-de62671b3f1a
Papachristodoulou, Antonis
e3109556-2fc6-4de8-9324-2601777beab6
Hepburn, Cameron
58a9308b-87c0-48d0-ba98-8970bda7c694

Chu, Bing, Duncan, Stephen, Papachristodoulou, Antonis and Hepburn, Cameron (2013) Analysis and control design of sustainable policies for greenhouse gas emissions. Applied Thermal Engineering, 53 (2), 420-431. (doi:10.1016/j.applthermaleng.2012.04.022).

Record type: Article

Abstract

Reducing greenhouse gas emissions is now an urgent priority. Systems control theory, and in particular feedback control, can be helpful in designing policies that achieve sustainable levels of emissions of CO2 (and other greenhouse gases) while minimizing the impact on the economy, and at the same time explicitly addressing the high levels of uncertainty associated with predictions of future emissions. In this paper, we describe preliminary results for an approach where model predictive control (MPC) is applied to a model of the UK economy (UK 4see model) as a test bed to design sustainable policies for greenhouse gas emissions. Using feedback control, the policies are updated on the basis of the actual emissions, rather than on the predicted level of emissions. The basic structure and principle of the UK 4see model is described and its implementation in Simulink is presented. A linearized state space model is obtained and model predictive control is applied to design policies for CO2 emissions. Simulation results are presented to demonstrate the effectiveness of the proposed method. The preliminary results obtained in this paper illustrate the strength of the proposed design approach and form the basis for future research on using systems control theory to design optimal sustainable policies

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More information

Published date: May 2013
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 337040
URI: http://eprints.soton.ac.uk/id/eprint/337040
ISSN: 1359-4311
PURE UUID: 03ddbf06-01b4-4e52-8a09-de03e1d9b468
ORCID for Bing Chu: ORCID iD orcid.org/0000-0002-2711-8717

Catalogue record

Date deposited: 16 Apr 2012 14:18
Last modified: 08 Jan 2022 03:16

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Contributors

Author: Bing Chu ORCID iD
Author: Stephen Duncan
Author: Antonis Papachristodoulou
Author: Cameron Hepburn

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