Guangzhou Institute of Energy Testing

Guangzhou, China

Guangzhou Institute of Energy Testing

Guangzhou, China

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Qiao X.,South China University of Technology | Qiao X.,Guangzhou Institute of Energy Testing | Luo F.,South China University of Technology | Xu Y.,South China University of Technology
Proceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016 | Year: 2016

A novel approach for H∞ robust PID synthesis is developed for wastewater treatment system. In operational terms, the simplification model is obtained by simplifying the Activated Sludge Model No.1 (ASM1). The main objective of this paper is to synthesize a robust PID control structure, which keep the substrate concentration and dissolved oxygen concentration below standards by law with the various disturbances. Different from the traditional design method, the robust PID controller is designed based on the H∞ specifications in combination with a genetic algorithm (GA). The genetic algorithm is used to tune the optimized PID controller parameters constrained by H∞ specifications. The simulation results show that the closed-loop wastewater treatment control system satisfies given multiple H∞ specifications and has fast tracking ability and good ability to overcome the noise disturbance. The proposed idea also can be used to deal with many complex output feedback control problems. © 2016 IEEE.


Shao D.,CAS Guangzhou Institute of Energy Conversion | Shao D.,Guangzhou Institute of Energy Testing | Smolianova I.,CAS Guangzhou Institute of Energy Conversion | Smolianova I.,University of Chinese Academy of Sciences | And 2 more authors.
RSC Advances | Year: 2017

A novel core-shell structured Si/S-doped-carbon composite with buffering voids (Si/v-SC), was prepared by a facile hydrothermal method using glucose as carbon source and simultaneously chemical polymerization of 3,4-ethylenedioxythiophene (EDOT) in the presence of Si@SiO2 nanoparticles, and followed by carbonization and removal of the SiO2 layer. The results showed that the Si nanoparticles were embedded in the S-doped-carbon buffer space to form a core-shell structure. Compared to the Si/carbon composite (Si/v-C) without S-doping in carbon layer, the Si/v-SC composite electrode showed improved cycling and rate performance, exhibiting a reversible capacity of 664 mA h g-1 over 300 cycles at the current of 0.4 A g-1 and a high capacity of 537 mA h g-1 even at 10 A g-1. The effects of S-doping on the properties of carbon material were further investigated. XRD and Raman test revealed that the S-doping increased the interspace of carbon crystal face, and improved the amorphous structure of carbon and thus the initial coulombic efficiency. © The Royal Society of Chemistry.


Ouyang W.,Jinan University | Zeng D.,Jinan University | Yu X.,Jinan University | Xie F.,Sun Yat Sen University | And 7 more authors.
International Journal of Hydrogen Energy | Year: 2014

Nitrogen-doped graphene is studied as a kind of non-noble metal catalyst for the oxygen reduction reaction in the cathode of fuel cells. Graphene is synthesized by pyrolyzing ion exchange resin and nitrogen doping is realized by a second pyrolysis step with nitrogen precursor. High resolution transmission electron microscopy proves the graphene is composed by 8-10 graphitic layers. The defect of graphene caused by nitrogen doping is detected by Raman spectra. The nitrogen group of the doped graphene is studied in detail with X-ray photoelectron spectroscopy spectra and a special type of nitrogen: valley-N is distinguished. The valley-N is proved to play an important role in the oxygen reduction reaction. Nitrogen content is found not directly related with the activity of the oxygen reduction reaction. © 2014 Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.


Feng C.,South China University of Technology | Feng C.,Guangzhou Institute of Energy Testing | Gao X.,South China University of Technology | Wu J.,South China University of Technology | And 4 more authors.
Journal of Cleaner Production | Year: 2014

The majority of the total greenhouse gas (GHG) emissions in China are energy-related. Thus, full understanding of energy-related GHG emissions is crucial for local governments to establish a baseline for tracking emission trends and developing mitigation strategies. In this paper, we present a survey-based GHG emission accounting method for sectoral energy consumption and apply it in Xiaolan, a typical town of Zhongshan. The method combines scope and sectoral analyses on the basis of local statistical approach, and pays more attention to data collection process. Scenarios of core findings in the study are list as below: (1) The energy-related GHG emissions of Xiaolan in 2010 was 2,072,444 tons of carbon dioxide equivalents (CO2e). Of this, 31.83% was Scope 1 emissions (direct emissions) and 68.17% was Scope 2 emissions (indirect emissions); (2) Emissions from "manufacturing", "residents", and "power, gas & water production and supply" made up 90.27%, among which, "manufacturing" represents the biggest emitting sector as 69.09%; (3) In 2010, the per capita GHG emissions was lower than that in most of the other Chinese cities, but higher than several Asian cities including Amman and Tokyo. Some strategic approaches to reduce GHG emissions were proposed: (1) save energy and improve energy efficiency; (2) optimize energy structure and develop low-carbon energy; (3) update manufacturing structure; (4) improve GHG emission management for the resident sector. Finally, we identified a number of key research issues to advance the town level GHG emission method for future research needs. This paper provides a useful method to understand and profile GHG emissions for towns. © 2014 Elsevier Ltd. All rights reserved.


Chang Y.,Guangzhou Institute of Energy Testing | Ling Z.,South China University of Technology
Nano | Year: 2016

Highly ordered anodic aluminum oxide (AAO) membranes with pore interval from 100(Formula presented.)nm to 520(Formula presented.)nm were fabricated successfully in the mixed electrolytes, which are composed of 0.3(Formula presented.)M oxalic acid and 1(Formula presented.)wt.% phosphoric acid/0.01(Formula presented.)M aluminum oxalate. The study results show that oxalic acid volume percentage has an approximate linear relationship with the optimal anodic oxidation voltage. The optimal anodic oxidation voltage is basically equal to the critical oxidation voltage. The theoretical analysis suggests that the anodic oxidation current is closely related to the ionization constants of acid radical ion in the electrolyte. Since the secondary ionization constant of oxalic radical ion is greater than that of phosphoric acid radical ion, the optimal anodic oxidation voltage increases and the steady anodic oxidation current decreases with the decrease of oxalic acid volume percent. © 2016 World Scientific Publishing Company


Xie Z.,South China University of Technology | Xie Z.,Guangzhou Institute of Energy Testing | Gao X.,South China University of Technology | He J.,Guangzhou Institute of Energy Testing | Feng C.,Guangzhou Institute of Energy Testing
Energy and Buildings | Year: 2016

As the Chinese economy has rapidly developed, energy consumption and carbon emissions in China's rural areas have also steadily increased. Rural communities are the most important component of rural areas; as such, developing low-carbon communities will likely promote reductions in rural carbon emissions. As one of the low-carbon pilot provinces, Guangdong Province has gradually constructed low-carbon communities; however, neither the province nor China as a whole has established a system for evaluating different energy-related factors in rural low-carbon communities. Using real-world conditions in Guangdong Province, combined with the general parameters associated with low-carbon communities, this study evaluated six categorical factors: carbon reduction performance, low-carbon planning, energy consumption, low-carbon transportation, environment and resources, and low-carbon management and living. These categories were measured using several suitable indices according to the SMART principle. The baseline value corresponding to each index was determined by two zones: the Pearl River Delta zone and the non-Pearl River Delta zone. Each index weight was calculated using a method that combines a Monte Carlo simulation and an Analytical Hierarchy Process. Ultimately, one typical community was selected for a pilot evaluation. The sensitivity analysis of each index was conducted using the One-At-a-Time (OAT) method. Establishing this system is beneficial for promoting rural low-carbon communities construction in Guangdong Province, and supports system evaluation and adoption in rural low-carbon communities. This study's system can also provide a reference case and experience for the Chinese government, as it establishes a system for evaluating rural low-carbon communities at the national level. © 2016 Elsevier B.V.


Qiao X.,South China University of Technology | Qiao X.,Guangzhou Institute of Energy Testing | Luo F.,South China University of Technology | Xu Y.,South China University of Technology
International Journal of Control and Automation | Year: 2016

This paper proposes a novel tuning approach for robust proportional-integral-derivative (PID) controller based on H∞ loop shaping synthesis in combination with gap metric and Particle Swarm Optimization (PSO) algorithm. Different from the traditional research, the controller is designed through the search region constrained by H∞ loop shaping synthesis and gap metric theorem. PSO algorithm is used for tuning the robust PID controller parameters based on the underlying constrained optimization problems without resolving complex arithmetical calculations. The control technique is applied for the robust controller design so as to get a low order structured controller and achieve robust performance and the ability of restraining disturbance. The simulation shows that the proposed method can character the set of all values of the controller parameters that guarantees the robust stability with any supposed accuracy and achieves favorable control performance for uncertain systems. © 2015 2016 SERSC.


Qiao X.-H.,South China University of Technology | Qiao X.-H.,Guangzhou Institute of Energy Testing | Luo F.,South China University of Technology | Xu Y.-G.,South China University of Technology
Chinese Control Conference, CCC | Year: 2015

This paper presents robust PID (proportional integral derivative) controller tuning using genetic algorithm and small-gain approach for wastewater treatment. In operational terms, the main control objective is to maintain the concentration of the biomass directly proportional to the influent flow rate with the various disturbance compensation, noisy measurements and varying process model parameters. The robust PID control design is based on a simplified Activated Sludge Model No. 1 (ASM 1) with the description of the nonlinearities by bounded structured uncertainty. The genetic algorithm is used to optimize the PID parameters based on the underlying problems constrained by the small-gain theorem and H∞ specifications without resolving complex mathematical calculations. The simulation shows that the optimization result of PID parameters having the ability to overcome the systems uncertainty. © 2015 Technical Committee on Control Theory, Chinese Association of Automation.


Qiao X.,South China University of Technology | Qiao X.,Guangzhou Institute of Energy Testing | Luo F.,South China University of Technology | Xu Y.,South China University of Technology
Proceedings of 6th International Conference on Intelligent Control and Information Processing, ICICIP 2015 | Year: 2015

This paper proposes a novel method to synthesize robust PID (proportional integral derivative) controller via Kharitonov's theorem and genetic algorithm for wastewater treatment. The specifications and Kharitonov's theorem result to solve a non-convex optimal problem subjected to several inequality constraints. The genetic algorithm is used to search the robust PID controller parameters wihout solving the steady-state Riccati equations. The novel robust PID is applicated for simplified Activated Sludge Model No.1 (ASM1) to keep the concentration of the biomass proportional to the influent flow rate with model uncertainties. Simulation shows that the algorithm is simple and effective for uncertain wastewater treatment. © 2015 IEEE.


Feng C.,South China University of Technology | Feng C.,Guangzhou Institute of Energy Testing | Gao X.,South China University of Technology | Tang Y.,South China University of Technology | Zhang Y.,Guangzhou Institute of Energy Testing
Journal of Cleaner Production | Year: 2014

This study is a comparative life cycle assessment (LCA) for two widely used flue gas desulphurization (FGD) technologies in China, namely, the circulating fluidized bed flue gas desulfurization (CFB-FGD) and the wet limestone flue gas desulfurization (WFGD). The present study identifies and quantifies the energy consumptions, resource depletions and environmental impacts of CFB-FGD and WFGD technologies throughout the whole life cycle, including production of desulfurizer, production of FGD system manufacturing materials, transport of FGD system manufacturing materials, manufacturing of FGD system, transport of FGD system and FGD system operation. Life cycle assessment (LCA) methodology provides a quantitative basis for assessing potential improvements in the environmental performance of FGD technologies. The functional unit of the study is 7000 h, the annual operating time of FGD systems. The assessment criteria include five energy consumption categories (electricity, coal, diesel, fuel oil and crude oil), three resource consumption categories (coal, crude oil and water), and six environmental impact categories (global warming, acidification, nutrient enrichment, photochemical ozone formation, bulk waste and slag & ashes). Finally, the total energy consumptions, the resource depletion indexes (RDIs) and the environmental impact loadings (EILs) of FGD technologies were produced for the overall assessment. Overall, the WFGD technology is deemed environmentally benign and energy saving in a relative sense based on the LCA in this study. Concerning environmental impacts, bulk waste is the most critical for both types of FGD technologies. Further observations also help identify some sensitive parameters, including mixed solid waste and carbon monoxide (CO) across the CFB-FGD technology, and mixed solid waste and sulfur dioxide (SO 2) across the WFGD technology. Such a study helps identify the least burdening option for constructing FGD technologies to meet the goal of urban sustainability. © 2014 Elsevier Ltd.

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