CO2 Emission Reduction for Power Industry Based on Total Emission Control of CO2 (I): Modeling

DOI

10.2991/cmfe-15.2015.79How to use a DOI?

Keywords

CO2 emission reduction; energy conservation? generation expansion planning; integer programming?stochastic chance-constraint programming

Abstract

Large amounts of carbon dioxide (CO2) emissions caused more and more extreme weather. In this study, the maximum reduction of power CO2 emissions is the management objective based on three significant ways in the planning period, which are energy conservation, reduction project and power structure adjustment. Therefore, in order to provide reference to the CO2 emission reduction in power industry for administrative department, a mixed integer stochastic chance-constraint programming model based on power CO2 emission reduction is developed, in consideration of energy-saving capacity, reduction project feasibility and structure adjustment space, besides constraints of CO2 emissions control target, regional power demand, power load, expansion and so on.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiao-hua Ning
AU  - Chao-ci Li
PY  - 2015/07
DA  - 2015/07
TI  - CO2 Emission Reduction for Power Industry Based on Total Emission Control of CO2 (I): Modeling
BT  - Proceedings of the International Conference on Chemical, Material and Food Engineering
PB  - Atlantis Press
SP  - 330
EP  - 333
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmfe-15.2015.79
DO  - 10.2991/cmfe-15.2015.79
ID  - Ning2015/07
ER  -