The Experts below are selected from a list of 258846 Experts worldwide ranked by ideXlab platform
Jing Ding - One of the best experts on this subject based on the ideXlab platform.
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Thermochemical Storage Performance of methane reforming with carbon dioxide using high temperature slag
Applied Energy, 2019Co-Authors: Jing Ding, Yarong Wang, Weilong WangAbstract:Abstract In iron and steel industry, production process is accompanied by a large amount of residual heat as high temperature slag. Methane reforming with carbon dioxide is one of the typical chemical energy Storage processes, and it can be applied to use residual heat and reduce carbon dioxide emission. In this paper, thermochemical energy Storage Performance of methane reforming using high temperature slag is researched. According to experimental and numerical results, high temperature slag can be used as energy source and catalyst for thermochemical energy Storage process by methane reforming. Slag is almost non-porous material, and its activation energy is higher than that of common catalyst, so slag only has high catalytic activity under high temperature. During methane reforming process, methane conversion and thermochemical Storage efficiency first increases and then decreases with reaction rate dropping, and the position with maximum reaction rate gradually changes from front of slag bed to the end. Many factors including inlet conditions and reactor structure can affect thermochemical Storage Performance. Increase of slag initial temperature can improve methane conversion and thermochemical energy Storage efficiency. As reactant flow rate decreases or slag bed length rises, methane conversion gradually increases, while thermochemical energy Storage efficiency first increases and then decreases. With suitable conditions, thermochemical energy Storage efficiency of slag can be higher than 60%.
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Thermochemical Storage Performance of steam methane reforming in tubular reactor with simulated solar source
Energy Procedia, 2017Co-Authors: Jing DingAbstract:Abstract The thermochemical Storage Performance of steam methane reforming in a tubular reactor heated by simulated solar source was investigated under different conditions. As inlet flow rate increases, the methane conversion obviously decreases, while the thermochemical energy Storage efficiency first increase for more reactants, and then it decreases because the methane conversion decreases. 3D numerical model considering unilateral solar irradiation with Gaussian distribution was established to predict heat transfer and chemical reaction inside the reactor. The simulation results very well fit with experiment, and the heat transfer of the reactor was further investigated with the impact of energy flux density. As energy flux density increases, the methane conversion sharply grows, while peak thermochemical energy Storage efficiency exists.
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Thermal Storage Performance of molten salt thermocline system with packed phase change bed
Energy Conversion and Management, 2015Co-Authors: Jianfeng Lu, Jing Ding, Tao Yu, Yibo YuanAbstract:Abstract Comprehensive transient and two-dimensional numerical model is developed to study energy Storage Performance of molten salt thermocline thermal Storage system with packed phase change bed in solar thermal power. The results show that the packed phase change bed can remarkably increase the effective discharging energy and discharging efficiency. Because of phase change material, the thermocline can be divided into three stages including the high temperature thermocline, low temperature thermocline and phase change layer. As the melting point within the inlet and initial temperature increases, the whole discharging time decreases, while the effective discharging energy remarkably increases, and thus the melting point of phase change material should be within the initial temperature and effective outlet temperature for good heat Storage Performance. As the phase change material content increases, the effective discharging energy increases with the effective discharging time rising, and the effective discharging efficiency also increases.
Xueliang Sun - One of the best experts on this subject based on the ideXlab platform.
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controlled sno2 crystallinity effectively dominating sodium Storage Performance
Advanced Energy Materials, 2016Co-Authors: Linlin Fan, Dongbin Xiong, Xueliang Sun, Bo Yan, Jianmin Feng, Yuren Wen, Stephen LawesAbstract:The exploration of sodium ion batteries (SIBs) is a profound challenge due to the rich sodium abundance and limited supply of lithium on earth. Here, amorphous SnO2/graphene aerogel (a-SnO2/GA) nanocomposites have been successfully synthesized via a hydrothermal method for use as anode materials in SIBs. The designed annealing process produces crystalline SnO2/graphene aerogel (c-SnO2/GA) nanocomposites. For the first time, the significant effects of SnO2 crystallinity on sodium Storage Performance are studied in detail. Notably, a-SnO2/GA is more effective than c-SnO2/GA in overcoming electrode degradation from large volume changes associated with charge–discharge processes. Surprisingly, the amorphous SnO2 delivers a high specific capacity of 380.2 mAh g−1 after 100 cycles at a current density of 50 mA g−1, which is almost three times as much as for crystalline SnO2 (138.6 mAh g−1). The impressive electrochemical Performance of amorphous SnO2 can be attributed to the intrinsic isotropic nature, the enhanced Na+ diffusion coefficient, and the strong interaction between amorphous SnO2 and GA. In addition, amorphous SnO2 particles with the smaller size better function to relieve the volume expansion/shrinkage. This study provides a significant research direction aiming to increase the electrochemical Performance of the anode materials used in SIBs.
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Controllable lithium Storage Performance of tin oxide anodes with various particle sizes
International Journal of Hydrogen Energy, 2015Co-Authors: Haoze Song, Yanhua Cui, Dongbin Xiong, Yu-fen Wang, Jiesheng Zeng, L. Dong, Xueliang SunAbstract:Abstract The SnO2 anode materials with various nanoparticle sizes were successfully synthesized to study their size effects on lithium Storage Performance. The compositions, structures, particle sizes and morphologies of the as-prepared samples were characterized by X-ray diffraction (XRD), Raman spectra, X-ray photoelectron spectroscopy (XPS), Scanning electron microscope (SEM) and high resolution transmission electron microscopy (HRTEM) techniques. It was confirmed that the obtained nanomaterials via a facile reflux approach show smaller size than that of hydrothermal method. Using cyclic voltammograms, electrochemical impedance spectroscopy, and galvanostatical charge/discharge testing, the SnO2 anodes with different nanoparticle sizes exhibit various electrochemical Performance with lithium, originating from the enormous volume changes associated with the alloying and de-alloying processes. It was demonstrated that the anode material with smaller nanoparticle size performs much better lithium Storage Performance.
Mustafa Uysal - One of the best experts on this subject based on the ideXlab platform.
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pesto online Storage Performance management in virtualized datacenters
Symposium on Cloud Computing, 2011Co-Authors: Ajay Gulati, Ganesha Shanmuganathan, Irfan Ahmad, Carl A Waldspurger, Mustafa UysalAbstract:Virtualized datacenters strive to reduce costs through workload consolidation. Workloads exhibit a diverse set of IO behaviors and varying IO load that makes it difficult to estimate the IO Performance on shared Storage. As a result, system administrators often resort to gross overprovisioning or static partitioning of Storage to meet application demands. In this paper, we introduce Pesto, a unified Storage Performance management system for heterogeneous virtualized datacenters. Pesto is the first system that completely automates Storage Performance management for virtualized datacenters, providing IO load balancing with cost-benefit analysis, per-device congestion management, and initial placement of new workloads. At its core, Pesto constructs and adapts approximate black-box Performance models of Storage devices automatically, leveraging our analysis linking device throughput and latency to outstanding IOs.Experimental results for a wide range of devices and configurations validate the accuracy of these models. We implemented Pesto in a commercial product and tested its Performance on tens of devices, running hundreds of test cases over the past year. End-to-end experiments demonstrate that Pesto is efficient, adapts to changes quickly and can improve workload Performance by up to 19%, achieving our objective of lowering Storage management costs through automation.
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SoCC - Pesto: online Storage Performance management in virtualized datacenters
Proceedings of the 2nd ACM Symposium on Cloud Computing - SOCC '11, 2011Co-Authors: Ajay Gulati, Ganesha Shanmuganathan, Irfan Ahmad, Carl A Waldspurger, Mustafa UysalAbstract:Virtualized datacenters strive to reduce costs through workload consolidation. Workloads exhibit a diverse set of IO behaviors and varying IO load that makes it difficult to estimate the IO Performance on shared Storage. As a result, system administrators often resort to gross overprovisioning or static partitioning of Storage to meet application demands. In this paper, we introduce Pesto, a unified Storage Performance management system for heterogeneous virtualized datacenters. Pesto is the first system that completely automates Storage Performance management for virtualized datacenters, providing IO load balancing with cost-benefit analysis, per-device congestion management, and initial placement of new workloads. At its core, Pesto constructs and adapts approximate black-box Performance models of Storage devices automatically, leveraging our analysis linking device throughput and latency to outstanding IOs.Experimental results for a wide range of devices and configurations validate the accuracy of these models. We implemented Pesto in a commercial product and tested its Performance on tens of devices, running hundreds of test cases over the past year. End-to-end experiments demonstrate that Pesto is efficient, adapts to changes quickly and can improve workload Performance by up to 19%, achieving our objective of lowering Storage management costs through automation.
Yibo Yuan - One of the best experts on this subject based on the ideXlab platform.
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Thermal Storage Performance of molten salt thermocline system with packed phase change bed
Energy Conversion and Management, 2015Co-Authors: Jianfeng Lu, Jing Ding, Tao Yu, Yibo YuanAbstract:Abstract Comprehensive transient and two-dimensional numerical model is developed to study energy Storage Performance of molten salt thermocline thermal Storage system with packed phase change bed in solar thermal power. The results show that the packed phase change bed can remarkably increase the effective discharging energy and discharging efficiency. Because of phase change material, the thermocline can be divided into three stages including the high temperature thermocline, low temperature thermocline and phase change layer. As the melting point within the inlet and initial temperature increases, the whole discharging time decreases, while the effective discharging energy remarkably increases, and thus the melting point of phase change material should be within the initial temperature and effective outlet temperature for good heat Storage Performance. As the phase change material content increases, the effective discharging energy increases with the effective discharging time rising, and the effective discharging efficiency also increases.
Liu Yang - One of the best experts on this subject based on the ideXlab platform.
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Thermal Storage Performance of building envelopes for nearly-zero energy buildings during cooling season in Western China: An experimental study
Building and Environment, 1Co-Authors: Zhoujie Wang, Yuhao Qiao, Yan Liu, Jiayang Bao, Qinglong Gao, Jingheng Chen, Hui Yao, Liu YangAbstract:Abstract Adapting to the local climate is the key to developing nearly-zero energy buildings (NZEBs). During cooling season in Western China, the climate conditions are characterized by a large daily temperature range and high solar radiation, and improving the thermal Storage Performance of buildings is an effective passive cooling design strategy for NZEBs. This study aims to investigate the thermal Storage Performance of building envelopes under free-running conditions. A phase change material (PCM) is integrated in an experimental wallboard to enhance its thermal Storage Performance. To simulate the thermal environment in free-running buildings, a double-sided periodic thermal effect is applied as the indoor and outdoor conditions during the experiment. Different orders of the material layers and thicknesses of the PCM layer are compared to investigate the key factors that affected the thermal Storage Performance. The thermal inertia index and coefficient of heat accumulation are employed as key parameters to quantify the two factors. The results indicated that enhancing the coefficient of heat accumulation for the wallboard by optimizing the material layer order can reduce the fluctuations in the indoor air temperature by 31%. However, only increasing the thickness of the heat Storage material does not significantly improve the attenuation and time delay effect of the wallboards. The coefficient of heat accumulation is proposed as a key parameter for NZEBs design. The design prototype and key parameters of the thermal Storage wall considered in this study may provide a reference for the development of NZEBs in Western China.
