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	1. An endurable watt-power Bi2Te3-based terrestrial radioisotope thermoelectric generator harvesting decay energy for IoT-based sensors in extreme environments
	Deng Wei,Wang Xuejian,Pan Xiaodong,Zhang Shixu,Ding Jingjie,Li Gongping
	Energy Science and Technology 02 February 2020
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	Abstract:Radioisotope thermoelectric generator (RTG), a technology that mostly adopted in space missions, is regarded as a promising technology to power the Internet of Things-based (IoT) sensors, especially those in extreme environments, for its merits of stability, maintenance-free and long-life. This paper studied RTG\'s application on earth and fabricated an endurable watt-power Bi2Te3-based terrestrial RTG. By employing the finite element analysis, an octagonal cylinder-shaped substituted electric heater was designed to have a higher surface temperature and better temperature uniformity while the fin-shaped radiators to dissipate heat at their optimal heat-sinking capacity. In the experiment part, this terrestrial RTG was tested to have an output power of 4.64 W and an open-circuit voltage of 27.2 V. Also, an optimal electric connection instruction between each thermoelectric (TE) converter was proposed from the experiment. Whereafter, based on the structure used in the experiment part, the finite element analysis was carried out to optimize the geometry of TE converters, the terrestrial RTG possessed an enhanced output power of 10.5 W with an open-circuit voltage of 57.8 V. Ultimately, this paper proposed important guidance for the design and optimization of an endurable terrestrial RTG, which could provide some prospects for its application on IoT-based sensors.
	TO cite this article:Deng Wei,Wang Xuejian,Pan Xiaodong, et al. An endurable watt-power Bi2Te3-based terrestrial radioisotope thermoelectric generator harvesting decay energy for IoT-based sensors in extreme environments[OL].[ 2 February 2020] http://en.paper.edu.cn/en_releasepaper/content/4750596


	2. The effect of the pH value of the anodic solution on the transmembrane transport of oxygen in microbial fuel cells
	HUANG Dong,YAO Sen,SONG Bingye,HE Yaling
	Energy Science and Technology 10 May 2016
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	Abstract:In this paper, a molecular dynamic model is established to describe the transfer of oxygen in the cathode chamber through the Nafion membrane to the anode chamber of MFCs. The effect of the pH values of the anodic solution on the diffusion process is studied and the diffusion coefficient are calculated either. The law of oxygen transmembrane transport predicted by simulations is validated by experiments. The results of molecular dynamic simulations show that the diffusion coefficient of oxygen molecules increases sharply with the decrease of the pH value of the MFCs anodic solution. It appears that the lower the pH value is, the more easily the oxygen diffuses into the anode chamber. This conclusion is coherent with experimental results. The diffusion coefficient of hydronium ions is almost unchanged after the rise at first with the decrease of the pH value and has the saturation because of the limitation of the Nafion membrane ion exchange capacity. The radial distribution function analysis shows that the main factors affecting the oxygen molecules transmembrane diffusion are the free volume and motion of Nafion side chains.
	TO cite this article:HUANG Dong,YAO Sen,SONG Bingye, et al. The effect of the pH value of the anodic solution on the transmembrane transport of oxygen in microbial fuel cells[OL].[10 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4687878


	3. The SOC Estimation for power battery using KF method which parameters are updated by least square method
	Tong Meng,Pang Yingzhou,Tian Jiantao
	Energy Science and Technology 15 July 2014
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	Abstract:In this article we first introduced some methods for estimating battery's SOC and their advantages and shortcomings respectively.Then with experimatal data,we proved that battery model 's parameters are time viriant.So fixed parameter Kalman Filter will not suitable, then we come up with a new estimating algorithm named adaptive Kalman Filter(APKF),which associates two algorithms-Kalman Fliter and Least Square method. Kalman Filer estiamtes SOC of battery,while Least Square method updatas parameters used in Kalman Filter.At last we used battery's discharging data to test whether this new alorithm takes effect. And the results produced by Ah-counting method was viewed as a reference because of constant current discharging situation. Then according to the estimating results, the results using produced by APKF has much smaller deviation than that produced by fixed parameters Kalman Flier.
	TO cite this article:Tong Meng,Pang Yingzhou,Tian Jiantao. The SOC Estimation for power battery using KF method which parameters are updated by least square method[OL].[15 July 2014] http://en.paper.edu.cn/en_releasepaper/content/4604285


	4. Optimum Design of Ground Source Heat Pump Systems Based on Long-term Performance Characteristics
	CUI Junkui,ZHAO Jun,WANG Huajun
	Energy Science and Technology 03 July 2008
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	Abstract:An optimal ground source heat pump (GSHP) system assures a problem-free operation over the entire life cycle, proper design method for the GSHP system is crucial. Different from traditional design methods, the presented method is modified by the long-term performance of a practical GSHP system, which is directly reflected by continuous temperature change of the ground, the ground thermal properties and other influential factors. Theoretically the operation of designed GSHP is simulated based on degree-day boundary conditions and building loads during the periods of ten years. Continuous experiment validation on the practical GCHP system has been carried out among the years of 2003 to 2007, using a computer data acquisition system. Through the comparison between experimental data and simulated results, the optimum design method of GSHP system is verified in practice.
	TO cite this article:CUI Junkui,ZHAO Jun,WANG Huajun. Optimum Design of Ground Source Heat Pump Systems Based on Long-term Performance Characteristics[OL].[ 3 July 2008] http://en.paper.edu.cn/en_releasepaper/content/22679

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