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This paper analyzes the long-term relationships between hydropower generation and climate factors (precipitation), hydropower generation capacity (installed capacity of hydropower station) to quantify the vulnerability of renewable energy production in China for the case of hydropower...
Persistent link: https://www.econbiz.de/10010729718
As the largest CO2 emitter in the world, China has made great achievements in carbon mitigation over the past eight years (2005–2013). Through a comprehensive and detailed overview of China׳s carbon mitigation strategies, this paper presents China׳s carbon mitigation achievements and...
Persistent link: https://www.econbiz.de/10011047320
As the world’s largest CO2 emitter, China’s CO2 emissions have become one of the most popular issues concerned by domestic and foreign researchers. Therefore, analysis of the current status of China’s carbon emissions is very important. After drawing a chart of China’s carbon flow in...
Persistent link: https://www.econbiz.de/10011208775
An approach to determine carbon emission reduction target allocation based on the particle swarm optimization (PSO) algorithm, fuzzy c-means (FCM) clustering algorithm, and Shapley decomposition (PSO–FCM–Shapley) is proposed in this study. The method decomposes total carbon emissions into an...
Persistent link: https://www.econbiz.de/10010737883
To reduce gasoline consumption and emissions, the Chinese government has introduced a series of preferential policies to encourage the purchase of new energy vehicles (NEVs). However, enthusiasm for the private purchase of NEVs appears to be very low. This timely paper addresses the need for an...
Persistent link: https://www.econbiz.de/10010740143
Measuring and improving the energy performance with considering emission constraints is an important issue for China’s energy conservation, pollutant emissions reduction and environment protection. This study utilizes several data envelopment analysis (DEA) based models to evaluate the...
Persistent link: https://www.econbiz.de/10010576766
To improve estimation efficiency for future projections, the present study has proposed a hybrid algorithm, Particle Swarm Optimization and Genetic Algorithm optimal Energy Demand Estimating (PSO–GA EDE) model, for China. The coefficients of the three forms of the model (linear, exponential,...
Persistent link: https://www.econbiz.de/10011047007
This paper proposes a hybrid model based on genetic algorithm (GA) and system dynamics (SD) for coal production–environmental pollution load in China. GA has been utilized in the optimization of the parameters of the SD model to reduce implementation subjectivity. The chain of “Economic...
Persistent link: https://www.econbiz.de/10011047134