An Inexact Dynamic Optimization Model for CO2 Emission Reduction in Subei Region, Northeast China-Reference-Cited by-同舟云学术

An Inexact Dynamic Optimization Model for CO2 Emission Reduction in Subei Region, Northeast China

Published:2014-03-17 Issue:10 Volume:11 Page:1013-1052
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

Liu Y.¹,Huang G. H.¹²,Cai Y. P.²³,Dong C.¹

Affiliation:

1. Ministry of Education (MOE) Key Laboratory of Regional Energy Systems Optimization, S&C Energy and Environmental Research Academy, North China Electric Power University , Beijing, China

2. Institute for Energy Environment and Sustainable Communities, University of Regina , Regina, Saskatchewan, Canada

3. Key Laboratory for Water and Sediment Sciences of Ministry of Education, School of Environment, Beijing Normal University , Beijing, China

Publisher

Informa UK Limited

Subject

Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15435075.2012.740706

Reference83 articles.

1. Operational research models and methods in the energy sector—Introduction to the special issue

2. The politics and policy of carbon capture and storage: Framing an emergent technology

3. Modeling technical change in energy system analysis: analyzing the introduction of learning-by-doing in bottom-up energy models

4. Role of energy efficiency standards in reducing CO2 emissions in Germany: An assessment with TIMES

5. Revisiting CO2 mitigation potential and costs in China’s electricity sector

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction and Evaluation of Grain Size-Dependent Maximum Dry Density for Gravelly Soil;International Journal of Geomechanics;2020-09

2. An interval-fuzzy possibilistic programming model to optimize China energy management system with CO2 emission constraint;Energy;2018-01

3. A stochastic fuzzy chance-constrained programming model for energy–environment system planning and management in the City of Beijing;International Journal of Green Energy;2016-11-08