Advanced Materials Research Vols. 608-609

Abstract: The air-circle temperature-rising technology is the new technology that solves the antifreeze and deicing problems of ship decks. In order to make more use of the ocean energy and increase the temperature-rising effect, the heat exchanger was added in which the flowing air can be heated up by the warm seawater outside the windpipe. Experiment results showed that this amelioration could improve the temperature-rising effect of the air-circle temperature-rising technology. The conclusion offers theoretical and experimental basis for the air-circle temperature-rising technology based on the ocean energy.

Abstract: After stepping into the later period of heavy chemical industry, China faces a serious problem on imbalance between energy supply and energy demand. Improving energy efficiency is a positive fact in settlement of this predicament. Therefore, it is imperative for decision makers to know the influencing factors on energy efficiency. This paper uses DEA-Tobit analysis, a two-stage procedure, to research the impacts on energy efficiency of Beijing in China based on the data from 2000 to 2006. In the stage 1 DEA, total-factor energy efficiency is calculated by DEA-Malmquist method. In the stage 2 DEA, the efficiency scores obtained from the stage 1 DEA are as dependent variables, and then we estimate the Tobit regression model. The empirical study demonstrates that industrial structure optimization contributes to improving energy efficiency, and the Beijing’s working emphasis in the future is to improve energy use efficiency for other energy categories.

Abstract: Data envelopment analysis (DEA) method is used for the energy consumption analysis of beer brewing process. First, the energy consumption of multi-batch beer brewing processes is analyzed using the super-efficiency model. Secondly, the optimal interval energy consumption frontier is obtained by sensitivity analysis. And then the optimal energy consumption frontier can be on-line amended, so as to guide the energy consumption of the practical production process. Finally, the application results demonstrate the effective of the proposed method.

Abstract: This paper focuses on the fuel economy of hybrid compressing garbage trucks (CGT). Measurements of traditional CGT’s main working lines were taken in order to get the standard working cycle of CGT. Based on the analysis of traditional and hybrid CGT’s structure, a traditional CGT model and a hybrid CGT model were built in Cruise and Matlab\Simulink environment. Accuracy of the traditional CGT model was verified by comparing simulation data and test data. The comparison shows that the error in fuel consumption is 7.7%. Then characteristics of hybrid CGT were studied by comparing simulation data of the two models. It is found that, under the test condition, fuel economy gets 25.7% improved and Hybrid technology is suitable for compressing CGT.

Abstract: In this paper, a model to optimize the system capacity size of the CCHP system based on a commercial software package LINGO is introduced and an illustrative example is presented. The model calculates the optimal size for the CCHP system applied in ST building and analyzes the variation trend of the annual cost saving ratio which is affected by the annual running and maintenance cost and annual investment cost. The influence of the energy price on the system is also be analyzed. When electricity price rises, the CCHP system is more economic than the conventional energy supply system. The CCHP optimal capacity size increases when electricity price rises. When natural gas price rises, the CCHP optimal capacity size decreases and it has poor economy.

Abstract: Heat utilization efficiency of barbershop was about 16.7% in China, because the low-temperature waste water at 30～36°C was directly discharged into sewer. And match of energy grade was not appropriate, because electric water heaters were used to producing hot water at 55～70°C in most of barbershops. A waste heat recovery system with water-to-water heat exchanger (WHR-HE) was presented, according to heat utilization characteristics of barbershop and scientific principle of energy utilization. WHR-HE was analyzed by the first Law of thermodynamics and economics. The analyzed results show that energy consumption can be reduced about 75%, and incremental payback period is less one year for WHR-HE. There is optimal cold side temperature difference of water-to-water heat exchanger.

Abstract: Automotive emissions bring out serious influences on urban environment. They are becoming the major urban source of atmospheric pollution, with the rapid development of automobile industry. They are more and more serious in Chinese big cities, and also important globally. A new kind of detergent additives was developed on the base of engine combustion mechanism via depressing the quench layer. For the purpose of evaluating the effects of fuel-saving and emission control, idle tests and platform tests were done; results show the exhaust emission were reduced evidently and automobile’s performance were improved observably.

Abstract: This paper analyses the energy consumption of water source heat pump, shows that the performance coefficient of water source heat pump unit is directly related to the temperature of water resources, and discusses the feasibility of central heating by recovering condensing heat of power plant using water source heat pump unit. It analyzes the energy saving benefit of water source heat pump unit is significant compared with traditional heating. Using the technology recovers waste heat of power plant, which can not only decrease the energy waste on the direct discharge of waste heat and water, but at the same time, it is a new air conditioning system without environmental pollution.

Abstract: This paper uses energy consumption stimulation software DeST-h to carry out stimulation study on annual energy consumption for heating of a typical residential building in Changchun city, a city in frigid area. We respectively calculated energy consumption under conditions of implementing “50% energy-saving standard” and “65% energy-saving standard”, calculated the energy-saving rate, and did research on energy-saving ability, economy, emission-reducing ability of different energy-saving standards.

Abstract: Prediction and control of airport energy consumption plays an important role in promoting energy saving and emission reduction in the civil aviation industry. In view of the complexity and nonlinearity of energy consumption system, as well as a small number of airport energy consumption data, this study develops a hybrid grey neural network model, which organically combines GM (1, 1) model and BP neural network in parallel and series connections, on the basis of analysis of main prediction methods. With energy consumption data from one Chinese airport for the whole year 2010, this study analyzes and compares different prediction results using different models through matlab. It shows that the hybrid model has a better accurate prediction, and its prediction accuracy can be controlled within 7%.