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The aim of this study was to investigate the feasibility and optimization of formic acid production in the microbial electrolysis desalination and chemical-production cell (MEDCC). The maximum current density in the MEDCC with 72cm of the anode fiber length (72-MEDCC) reached 24.0±2.0A/m2, which was much higher than previously reported. The maximum average formic acid production rate in the 72-MEDCC...
The aim of this study was to investigate the feasibility of citric acid (CA) production using a biological electrodialysis with bipolar membrane, i.e., the microbial electrolysis desalination and chemical-production cell (MEDCC). To optimize the performance, batch, recirculation, and packed ion-exchange resin (IER) modes were carried out in the MEDCC. With 0.1M Na3Cit, the maximum current density...
Quasi-Delay insensitive (QDI) circuits are the most robust and practical circuits that can be built and are resilient to process, temperature and voltage variations. This paper proposes a novel energy and cost efficient synthesis scheme to translate any Boolean functions into 4-phase handshaking QDI circuits with hybrid dual-rail (DR) and 1-of-4 (OOF) encoding signals. Preliminary experimental results...
According to the basic law of energy conservation and conversion, the energy consumption evaluation indexes of two basic research objects in oil-gas gathering and transferring system, i.e. stations and pipelines, are established. On the basis of that, the energy consumption evaluation indexes for the whole system are obtained through mean weighted method. Then heat loss rate and pressure loss rate...
Temperature and pressure are important parameters related to energy consumption and safe operation of oil depot. A mathematical model is established from the point of temperature drop and pressure drop during storage and transportation process based on the reasonably simplified physical model of oil depot. Then parameter distributions of each node are obtained by the application of sequential modular...
Due to uncertainties in target motion and limited sensing regions of sensors, collaborative target tracking in wireless sensor networks (WSNs) suffers from low tracking accuracy and lack of reliability when a target cannot be detected by a scheduled sensor. Generally, actuating multiple sensors can achieve better tracking performance but with high energy consumption. Tracking accuracy, reliability,...
In wireless sensor network studies the main objective is minimizing the energy consumption so that the lifetime is maximized under the limited battery capacity constraints. In most event-driven surveillance applications, the end-to-end delay should also be minimized. In this paper we present a new BT-MAC (balanced energy-latency tradeoff Media Access Control) which reaches a good balance between energy...
In this paper, we present a review of the deregulation of energy prices in China between 1981 and 2007, and assess the impacts of changes in energy prices on aggregate energy intensity. We concluded that raising energy prices is an effective policy tool for decreasing energy intensity by increasing efficiency of energy use. According to research, the author suggests that, to save more energy, in addition...
Decomposition analysis has been popular in the study on influencing factors of CO2 emissions. This paper analyzes the change of CO2 emission intensity in China over the period 1980-2007 based on a complete decomposition approach-the logarithmic mean divisia index (LMDI) method, and examines the factors driving the changes of CO2 emissions intensity. The research shows that energy intensity is the...
Due to uncertainties in target motion and limited sensing regions of sensors, collaborative target tracking in wireless sensor networks (WSNs) suffers from low tracking accuracy and lack of reliability when a target cannot be detected by a scheduled sensor. Generally, actuating multiple sensors can achieve better tracking performance but with high energy consumption. Tracking accuracy, reliability,...
Energy intensity is crucial to the development of a society. China experienced a dramatic decline in energy intensity from the onset of economic reform in the late 1970s. Decomposition methodology is a useful analytical tool in energy consumption and energy intensity analysis, to the best of our knowledge, no decomposition study has taken into account the price index. In this paper, we use the decomposition...
Decomposition analysis has been popular in the study on influencing factors of energy consumption. This paper takes a quantitative analysis on factors which affect energy consumption in China during 1980-2006 based on logarithmic mean Divisia index (LMDI), and examines the factors driving the changes in energy consumption. The research shows the improvement of energy efficiency decreased energy consumption,...
Indices factors decomposition method is used to decompose the factors affecting electricity consumption into four effects: structure effect, quantity effect, intensity effect, structure effect of power consumption. It is considered that the structure effect and the quantity effect are the critical factors to affect the total indices of electricity consumption. Further more, total indices of electricity...
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...
The effect of the international trade on energy consumption in China is studied by the method of input-output structural decomposition analysis. The change of Chinese energy consumption is decomposed into 6 aspects: the total energy intensity coefficients, technical coefficients matrix, domestic consumption, investment and stock change, exports and imports. The results show that from 1997 to 2000...
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