In this paper artificial neural network is introduced to forecast the daily electricity consumption of a multiproduct pipeline which is used to drive oil pumps. Forecasting electricity energy consumption is complicated since there are so many parameters affecting the energy consumption. Two...

Utilizing the global DEA (data envelopment analysis), this paper analyzes China's energy efficiency from both static and dynamic perspectives based on China's provincial panel data for the period of 2001–2010. We present the evolution of energy efficiency in China from 2001 to 2010, and...

In this paper, the behavior of CO2 transmission in a micro direct methanol fuel cell (μDMFC) is investigated through both simulations and experiments. A model is built to describe the change of CO2 volume fraction in the anode channel under different operation parameters (e.g., current density,...

In this paper, the response surface methodology is applied to optimize the operating conditions of μDMFC (micro direct methanol fuel cell). Three operating parameters, the methanol flow rate, the methanol concentration and the cell temperature are considered in this study, and the ranges of...

Industrial parks are the economic engines for many China regions, but they also consume a great deal of energy and emit greenhouse gases. However, few empirical studies have examined these special communities. We selected SIP (Suzhou Industrial Park) as a case study. Carbon emissions from SIP...