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By analyzing the mechanism of oil production process and the relationship between each subsystem, a multi-objective optimization model is proposed, which is with maximizing overall oil production, minimizing overall water production and comprehensive energy consumption for per ton oil as the goals, and then a multi-objective evolutionary algorithm NSGA-II is used for solving the multi-objective optimization...
The economy and social development in HeilongJiang province is greatly influenced by energy production and consumption. In this paper, by using grey model (1,1), the primary energy consumption and production and electricity power consumption and production are respectively predicted. And it is concluded that when concerning primary energy, there will be evidently insufficient in its production, so...
Economic development needs massive energy. Energy consumption elasticity coefficient can directly reflect the relationship between economic development and energy consumption. This paper analyzed historical data of the energy consumption elasticity from 1984 to 2009 of Hebei, made a gray prediction based on wavelet denoising, and got forecast data for the next decade. And the results showed that,...
As one of the important economic provinces in China, Shandong province plays an important role in energy production and energy consumption. Based on the revised time-series data of the energy production and supply in 1985-2009 in Shandong province, this study has established a grey forecasting model GM (1, 1) and made the accuracy checking for it. Smoothing test and exponential test are employed here...
This paper proposes a fast and simple algorithm to assess the impact of an energy management system on the environmental and economic performance of a production process. The proposed technique is based on correlations among a set of energy drivers, uses quadratic regression methods and variance analysis. Modeling and parameter extrapolation, factors variability, multi-variable statistics and mean...
This paper employed the carbon dynamic model and IPCC cement model to estimate the amount of carbon emitted by energy and cement, and used CO2FIX model to predict the forest carbon sinks in Beijing, Tianjin and Hebei Province from 2009 to 2050, then, this paper analyzed the influential factors and the contribution of forest carbon sinks to carbon emissions reduction. The main conclusions are as follows:...
Firstly, this paper analyzes the status of energy consumption in Henan Province, and then the improved GM (1, 1) model is used to predict the energy consumption and energy structure in the following several years; it shows that the energy structure is unreasonable in the coming years; coal is consumed too much and the ratio of natural gas, renewable energy and new energy should be increased. Finally,...
Coke oven heating process in coking production is a synthetic process, whose product key index, i.e. flue temperature, is hard to measure online, and the optimal control of such process is very difficult. Based on analysis of its dynamic characteristics and manual operation mode, a multivariable intelligent optimal control method is developed, combining intelligent method, feedforward control and...
Nowadays, China has become a major energy consumer, and more importantly, however, China is also a major energy producer. With the development of economy, energy production and energy consumption has increased progressively year by year. In the context of the global energy supply pressure of the growing tension, energy and environmental situation is not optimistic, this paper starting from the unification...
Energy consumption decomposition is a commonly used method when studying on influencing factors of energy consumption. The paper introduced a relatively reasonable decomposition method-logarithmic mean Divisia index decomposition (LMDI), and decomposed influencing factors of energy consumption into three parts: Scale effect affected by changes in gross production value, structural effect affected...
In this text we took An Shan Iron & Steel Company Dagushan mining plant magnetic separation workshop as object of study and established energy consumption optimization model. On the ground of magnetic separation workshop water consumption and electricity consumption forecast model, we established magnetic separation workshop energy consumption system optimization model based on the multi-objective...
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