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Coal mining activities have caused serious environmental problems; however, almost 30% of global primary energy demand is met using coal, making it difficult to replace in the near future. Under these circumstances, as it is not possible to completely cease coal mining activities, coal mines need to invest in cleaner production techniques to reduce environmental damage. To achieve pollution emissions and energy reductions, this paper proposes a dynamic multi-objective mixed 0–1 model based on ecological coal mining, in which environmental technological investment and production adjustments are integrated into a dynamic system to seek ecological and economic equilibrium, and emissions reductions and energy conservation are controlled using double dynamic transfer equations. Different from previous papers, this model considers the effect of production adjustments and energy conservation on the environment and the economy with the aim of achieving global optimization through integrated planning. To solve the proposed model, a hybrid algorithm with a standard and an antithetic method-based Particle Swarm Optimization (PSOs) is developed. A case study from Chaohua Colliery is presented to demonstrate the practicality and efficiency of the optimization model. The results and comparison analyses showed that as the dynamic adjustments strengthened the production and investment coordination for global optimization, integrated production and environmental investment planning provided coal mines with a superior method to solve conflicts between the ecology and the economy. [ABSTRACT FROM AUTHOR]

Abstract Energy conservation and emissions reduction have been the focus of the road transport sector due to its energy-intensive and air pollution-intensive nature. It also embodies the imprints of human technological progress. This paper compares the energy consumption of the road transport sector in China and OECD countries. We used time series and panel data, co-integration analysis, error correction model and dynamic model to study the impacts of the major influencing factors such as income, income structure, urbanization, price, and technological advancement on gasoline and diesel consumption in road transport. Overall, China's fuel consumption is influenced mainly by investment, government expenditure and demographic changes such as urbanization, while the fuel consumption of OECD countries is mainly driven by household final consumption expenditure. In the short run and from a dynamic perspective, China's fuel consumption is less influenced by its historical consumption than current influencing factors, while that of OECD countries is more affected by historical fuel consumption. Based on the analysis and findings of this study, some policy implications are proposed. [ABSTRACT FROM AUTHOR]

Abstract Large amount of energy is consumed to meet user satisfaction in public buildings, which causes carbon emission and results in environmental problem. A direct method to reduce this carbon emission is restricting opening area in public buildings. However, restricting opening area causes occupant satisfaction reduction. Trade-off carbon emission and occupant satisfaction needs to be concerned in building operation strategy design. In this paper, we developed a new integrated modelling method to trade-off between the carbon emission and occupant satisfaction of restriction strategies. We designed a case study in the sixth teaching building (STB) in Tsinghua University. Survey and field investigation were conducted to obtain data and build model. Integrated model result showed that satisfaction increases with the increase of carbon emission, while there exists cluster division and marginal diminishing patterns. By analyzing the performance of strategies with different calculation methods, we found that most optimal strategies open section B and C in STB. Meanwhile, when occupant number is 1,000, 2000 and 4,000, corresponding average satisfaction is 71.4%, 58.8% and 40.4%. It indicates that optimal operation strategy performance changes with the increase of occupant number, but the fluctuation is relatively mild. This integrated model has prospect in guiding energy conservation operation strategy design. It also supports real time monitoring and has potential in interactive platform application. Highlights • We developed a tradeoff model with carbon emission and occupant satisfaction in public building. • Our model found out optimal restriction strategies and strategy performance patterns. • Strategy performance slightly changes with the increase of occupant number. [ABSTRACT FROM AUTHOR]