bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nonlinear adaptive control of PV inverter for maximum solar energy harvesting using democratic joint
Authors: Lai Weijian , Chen Weihong , Li Jingguang , Zhang Xin , Lin Zehong , Li Haofei 
Published: April 2020

Abstract
This study designs a novel nonlinear adaptive controller (NAC) of photovoltaic inverter in order to generate the maximum energy of solar power under different condition. Inverter nonlinearities, uncertain grid/inverter parameters, as well as inverter modelling uncertainties are aggregated into a perturbation. Then, a linear extended state observer (ESO), is applied for estimate the perturbation online. Meanwhile, a state feedback controller is used to calculate the perturbation in the real-time. Particularly, its optimal control parameters are effectively and efficiently tuned by a novel meta-heuristic algorithm, called democratic joint operations algorithm (DJOA), such that a satisfactory control property could be resulted in. Case studies verifies the effectiveness and advantages of NAC compared to conventional linear control, e.g., PID controller, and typical nonlinear control, e.g., feedback linearization controller (FLC), under solar irradiation variation and temperature variation.
Study of probabilistic safety assessment for a reprocessing plant
Authors: Wang Renze , Zhang Jiangang , Li Guoqiang , Zhuang Dajie , Yang Yapeng , Feng Zongyang , Jia Linsheng , Wang Ning , Liang Boning 
Published: April 2020

Abstract
According to China’s nuclear power development plan, the demand for construction of more large-scale spent fuel reprocessing plant (RP) is increased. Nuclear safety is very important in the whole process of nuclear fuel cycle, and the safety supervision of RPs mainly draws lessons from the safety supervision of nuclear power plants (NPPs). The industry had come to realize that it could not eliminate all risks through its defense-in-depth principle and design basis accident methodologies. All nuclear power countries with advanced reprocessing industry such as the United Kingdom, France and Japan have carried out probabilistic safety assessment (PSA) research for RPs. This paper takes Chinese pilot RP as the research object. First, failure mode and effect analysis (FMEA) and master logic diagram (MLD) methodologies were adopted to identify initiating events (IEs), and then IEs were grouped. After that, fault tree (FT) analysis was performed to various accidents - red oil explosion, fire and criticality. Reliabilities of public systems - power and water and compressed air supply systems were modelled and analysed with GO methodology. And then, consequences of typical accidents were assessed. Finally, application of risk-informed technology in the reprocessing facility was investigated. In brief, PSA for a pilot RP was explored in this paper, and the results could be used as reference for Chinese commercial RP.
Wave energy resources in nearshore area of Dongluo Island, Sanya
Authors: Li Bo , Li Junmin , Liu Junliang , Shi Ping , Chen Wuyang , Xing Huanlin , Huang Gaolong 
Published: April 2020

Abstract
Based on a bottom-mounted monitoring system, wave characteristics to the northeast shore of Dongluo Island, Sanya, are investigated from July 12 to August 27, 2018. Wave energy resources of the surveying point are evaluated. Analyses demonstrate that, during the observation period, the significant wave height of the surveying point lies in the range of 0.13-1.28 m, the peak period is 1.68-9.57 s, and the main wave direction is mainly southeast. The wave energy density ranges from 0.041 to 2.615 kW m−1, with a mean of 0.222 kW m−1, suggesting relative low wave energy. The wave energy density from southeast-east and southeast directions accounts for about 65.2% of the total. The significant wave height range from 0.2 to 0.5 m, with a period range from 4 to 9 s has prominent contributions (83.71%) to the total wave energy. The northwest of the South China Sea, where Dongluo Island located, is controlled by southwest monsoon during the observation period, and the wave from the southwest may be attenuated by the island during its northward propagation. The surveying point in this study may not be the best location for wave energy converter, which can be further optimized.
Flexible units planning and operational optimization model under large-scale wind power access
Authors: Gou Jing , Xu Weiting , Yang Xinting , Su Yunche , Jin Zhibo , Xu Hao , Li Huaqiang 
Published: April 2020

Abstract
After large-scale wind power access to the power grid, the requirements of flexibility of power system become higher, and it is necessary to transform the flexibility of the largest proportion of resources, the thermal units. Firstly, a mathematical model of flexibility requirements and supply of power system is established. Secondly, a supply and demand of flexibility matching probability model based on stochastic chance-constrained programming is built (CCP). Then, a flexible resource planning and operation optimization model is proposed aim to minimize the operational cost of the system. After the transformation of the model, it is solved by using the commercial solver CPLEX. Finally, an example is used to verify the validity of the model. The results show that after the transformation the thermal units can promote the consumption of wind power and reduce the total cost of planning and operation.
Analysis on development path of distributed utilization of biomass energy in China
Authors: Liu Shuguang , Gao Yage , Xu Bowen , Deng Min , Jiang Jia 
Published: April 2020

Abstract
Biomass energy is an important renewable energy, which comes directly or indirectly from photosynthesis of plants and is generally derived from agricultural and forestry wastes. The main characteristics of biomass wastes in China are large amount, wide distribution, low utilization rate, great development potential and high urgency of environmental management. With the exhaustion of non-renewable energy and the increasingly serious environmental pollution, the utilization technology of biomass energy needs to be developed as soon as possible. In this paper, the significance of distributed utilization of biomass energy was discussed, and the technologies of distributed utilization of biomass energy were introduced, including direct combustion technology, biochemical conversion technology (fermentation and anaerobic digestion), thermochemical conversion technology (gasification and pyrolysis), liquefaction technology, dense moulding technology and supercritical fluid conversion technology. The application of biomass conversion technology, including biomass gasification for power generation, gasification for hydrogen production, pyrolysis for hydrogen production, fermentation for fuel ethanol, pyrolysis for bio-oil, solidification for solid fuel, composting for fertilizer production, anaerobic digestion for biogas production and catalytic pyrolysis for biofuel production, was discussed. Furthermore, the development path of biomass energy industry was discussed, and the future development of biomass energy distributed utilization technology was prospected.
Optimal energy sharing model for multi-microgrids integrated into the distribution network
Authors: Wei Jun , Ye Shengyong , Han Yuqi , Liu Xuna , Li Da , Zhao Dawei , Wang Siqi , Ren Wenshi , Li Chiyu , Gao Hongjun 
Published: April 2020

Abstract
With the large-scale integration of clean energy resources, microgrids have shifted from consumer to prosumer. Therefore, the behavior of microgrids would have an enormous impact on the distribution network and electricity market. In this context, this paper established an optimal energy sharing model for multi-microgrids under the condition of the constructing cooperative alliance relationship. An overall operation strategy to maximize clean energy utilization and overall benefits is constructed by a two-stage robust model considering the uncertainty of clean energy. Also, a Shapley model is established to distribute the profit based on the contribution among multi-microgrids. Finally, a test case is applied to demonstrate the effectiveness of the proposed model and is given to verify that the economic benefits of each microgrid are improved after optimization.
Modeling of SNCR denitration system based on adaptive weight particle swarm optimization
Authors: Bai Jianyun , Lei Xiujun , Wang Qi 
Published: April 2020

Abstract
In view of the improvement of NOX emission control requirements for coal-fired units, traditional PID controllers have been unable to effectively control large delay, large inertia, nonlinear, time-varying SNCR denitration systems, and most advanced control algorithms are often object-based models. Therefore, a model of SNCR denitration system based on adaptive weight particle swarm optimization algorithm is established. A 2×200MW heating steam turbine generator set equipped with a 2×705t/h circulating fluidized bed boiler was used as the test unit, and the selective non-catalytic reduction technology denitration system was analysed. The particle swarm optimization algorithm with adaptive weights was used to model the relationship between the urea flow rate and the NOX concentration at the chimney outlet of the SNCR denitration system under working conditions of 140 MW, 170 MW and 200 MW, respectively, to provide a process for the automatic control of the SNCR denitration systemmodel. Apply the actual data from the field to verify the model. The results show that the error between the output of the model and the actual operational data is within the allowable range, which verifies the validity of the model. This result opens up a new path for the particle swarm optimization algorithm to model the SNCR denitration process, and promotes the application of intelligent algorithms in other industrial processes.
Legal protection of atmospheric air in the context of sustainable development and public health: Russia and the world experience
Authors: Vakula Marina Anatolievna 
Published: April 2020

Abstract
The article deals with the legal regulation of air protection in the context of sustainable development and public health. The foreign methods of assessing the quality of atmospheric air are analyzed. The approaches to damage assessment used in Russia and other countries are compared. It also provides a brief overview of the gaps in legal regulation in Russia. The author considers it necessary to ensure the use of monetization of environmental losses of the state in mutual connection with other instruments of public administration. The environmental losses in monetary terms should ultimately serve as a basis for taking measures to reduce them. The concept of sustainable development is enshrined in many international legal instruments and national legislation. Its implementation is designed to pursue and achieve a balance between sustainable management of natural resources and economic development. Obviously the health of population should be considered as one of the main sustainable development indicators for countries with stable economic growth. The growth in industrial production leads to an increase in the emissions. The air is a transit environment, that is why the effects of its pollution have a negative impact on the quality of the neighbouring environmental components – water, soils, animals, flora. All these factors will have the inevitable and negative consequence for human health. It is due to the rising rates of morbidity and premature mortality the economically advanced countries include this factor into their state planning and monetize it.
Review on remote sensing inversion methods of Chlorophyll a in Taihu Lake
Authors: Li Yaqing , Lai Yuequn , Zhang Jing , Song Yongyu , Jiang Xuechen , Feng Xinran , Yang Xiyue , Zhang Chen 
Published: April 2020

Abstract
Chlorophyll a is one of the important parameters to evaluate the water condition, and its content is of great significance to reflect the eutrophication of water body. As an effective inversion method of Chlorophyll, remote sensing inversion has been used widely by scholars all over the world. This paper systematically summarizes the application of remote sensing inversion model in inland water body. Furthermore, the problems in the inversion process are discussed (i.e. poor universality and less understanding of the optical characteristics of water body). Meanwhile we make personal points on the inversion of water body.
Genetic diversity of bacteria in bioremediation system of iron mine tailing by Robinia pseudoacacia - Ryegrass - Trifolium repens
Authors: Zhou Xiaoyu , Liu Yihao , Wang Zuyu , Xiong Weiyi , Yu Xiumei , Zhao Ke , Zhang Ke , Gu Yunfu , Ma Menggen , Chen Qiang 
Published: April 2020

Abstract
To exploration the change of microorganism in iron tailing sand restoration, a bioremediation system of iron tailing sand by combination of Robinia pseudoacacia - Ryegrass-Trifolium repens pus soil or bio-matrix flowerpot was designed, the change of bacterial quantity and genetic diversity at different time was determined. The tailings and soil samples C1 (tailings), C2 (tailings adjacent to biologic pot) and C3 (Robinia pseudoacacia rhizosphere soil), were collected on the 180th d, 270th d and the 360th d. The bacterial quantity was determined, the bacterial strains were isolated and purified, and genetic diversity was studied by BOXA1R-PCR and 16S rDNA sequencing. The results showed that along the restoration time increasing, the number of bacteria in C2 and C3 increased from 4.81×105 cfu·g−1 and 11.82×105 cfu·g−1 to 5.99×105 cfu·g−1 and 15.67×105 cfu·g−1 at 270th d, then to 8.96×105 cfu·g−1 and 21.96×105 cfu·g−1 at 360th d, respectively, while there was little change in C1. From these samples, a total of 32, 46 and 52 bacterial strains were isolated, and the genetic diversity was determined by BOXA1R-PCR, the results showed that there were 7, 9 and 10 BOXA1R groups formed, respectively; phylogenetic analysis of representatives suggested that genus Bacillus were the predominant, and bacteria with biological nitrogen fixation ability, distributed in Rhizobium, Ensifer, Azotobacter, etc. were founded during the iron tailing sand bioremediation. The results suggests that bio-matrix flowerpot combining Robinia pseudoacacia - Ryegrass - Trifolium repens cultivar can increase the bacterial quantity and genetic diversity in iron tailing sand significantly, and probably has a good application potential for tailings restoration.
Study on pyrolysis and combustion characteristics of straw briquette fuel
Authors: Liu Shuguang , Jiang Jia , Chen Xiaolong , Xu Bowen , Deng Min 
Published: April 2020

Abstract
Biomass is mainly composed of cellulose, hemicellulose and lignin. The content of each component has a great influence on the combustion of biomass. The combustion of biomass starts from its thermal decomposition. The main products of cellulose and hemicellulose are volatile components, while the main products of lignin are coke, and cellulose and hemicellulose are easier to decompose than lignin. Therefore, biomass combustion is a very complex process. In order to improve the quality of straw biomass fuels and pyrolysis with high efficiency, thermogravimetric-differential thermogravimetric (TG-DTG) technology was used to conduct thermogravimetric tests on agricultural straw fuels. The combustion characteristics, ignition characteristics, burnout characteristics and comprehensive combustion characteristics were investigated, and the combustion kinetics parameters were calculated.
Study on pollutant model construction and three-dimensional spatial interpolation in soil environmental survey
Authors: Li Shijie , Xi Weili , Li Chao , Bi Tao 
Published: April 2020

Abstract
In site soil investigation, the construction of three-dimensional (3D)geological model and spatial three-dimensional distribution model of pollutants can help investigators to clearly and intuitively understand the morphology distribution and spatial relationship of pollutants. Four 3D interpolation methods (Krige, IDW-Shepard, FastRBF and Nearest Neighbor)are compared and studied, based on the Sb (antimony) data in soil of a polluted plot in Tianjin by using EVS-Pro. The results show that the selection of interpolation method is quite different for the calculation results of 3D interpolation model, and the cross-verification results show that the interpolation accuracy of Krig-3D interpolation model is the highest. The pollution distribution model of Sb based on interpolation results can truly reflect the actual pollution of the site and accurately help to calculate earthwork, and 3D model and visualization technology have more intuitionistic and clear display. It provides a reference and framework for the subsequent remediation and treatment of contaminated sites.
Study on selection and optimization of slag cooler system for a ultra-supercritical CFB boiler
Authors: Wu Wanzhu , Li Ruixin , Wang Hu 
Published: April 2020

Abstract
The construction of large scale CFB units with high steam parameters is the best way to make large-scale clean use of low calorific value coal such as slime and gangue. The ash and slag heat loss of CFB units burning low calorific value coal is large. Roller slag coolers widely used in in-service CFB units have a low efficiency in terms of heat recovery and utilization of ash and slag for CFB boiler, while air-water combined slag cooler can effectively recover heat from ash and slag. By analyzing and studying the influence of air-water combined slag cooler and roller slag cooler on boiler efficiency and power consumption, the coal consumption of ultra-supercritical CFB units with different slag coolers was calculated, and the technical economy of different types of slag coolers was also compared. The results indicate that the air-water combined slag cooler should be selected for the CFB unit with high price of standard coal and large amount of bottom slag, and better economy of the unit could be obtained. In order to take into account the economy and operational reliability of slag cooler system, the scheme of mixing air-water slag cooler with roller slag cooler can be adopted to optimize the selection of slag cooler system for a ultra-supercritical CFB unit. These results can provide referential materials for the selection and optimization of slag cooler system of large-scale CFB boiler.
Research on water quality correlation facts based on grey relational and image analysis method
Authors: Li Ziyuan 
Published: April 2020

Abstract
To understand the impact to the water quality of Huangpu River, a serious scientific research has been conducted. Using the questionnaire answered by the residence and samples of the water collected across different locations, a model has been setup to analyse the relationship between the water quality and residents’ knowledge of environmental protection. A novel Grey Relational Analysis method was proposed to calculate the impact factors from year 2013 to year 2018. The analysis results show that the residents’ environmental awareness and their cognition of water quality is opposite to the actual water quality because of the level of education level of the residence around the river. As for the orientation of the government’s environmental protection measures, the research displays a new focus from the perspective of social science: ways to popularize the status quo of environment protection to the general public.
Research of method for non-point source pollution load
Authors: Huang Huadong , Zhang Jing , Song Yongyu , Lai Yuequn 
Published: April 2020

Abstract
With the increasingly prominent problem of non-point source pollution in river basin water environment, it has attracted people’s attention and become a hot field of international research. This paper summarizes the digital model of non-point source pollution, briefly sketches the simulation analysis method of non-point source pollution model, and introduces an increasingly sophisticated method-SWAT model combined with scenario analysis. The application of the author’s preliminary research in the Minjiang River Basin using the SWAT model and scenario analysis is described. Finally, the development prospect of non-point source pollution model is analyzed and predicted.
Study on ultra-low NOX emission technology of 660 MW ultra-supercritical circulating fluidized bed boiler
Authors: Xin Shengwei , Li Yingping , Zhang Peng , Hu Changhua , Wang Hu 
Published: April 2020

Abstract
For the first 660MW ultra-supercritical circulating fluidized bed boiler in China, the original NOX emission concentration would be controlled and maintained below 50mg/Nm3, by improving the uniformity of bed temperature and bed pressure, strengthening the secondary air fractional combustion, optimizing the combustion temperature and operating oxygen and so on. Meanwhile, selective non-catalytic reduction (SNCR) technology with urea as reducing agent is selected as the auxiliary method to ensure the boiler achieves ultra-low NOX emission under full load conditions.
Experimental study on electrokinetic remediation of Pb-contaminated kaolinite
Authors: Li Gang , Liu Jia , Zhang Jinli 
Published: April 2020

Abstract
The treatment of heavy metal pollution by electrokinetic remediation has the characteristics of low cost, easy operation and less secondary pollution and has broad application prospects. Electrokinetic remediation tests, and some combined with a permeable absorbing layer were conducted to analyze the distribution patterns of conductivity, Pb(II), pH and moisture content in lead (Pb)-contaminated kaolinite. The influences of factors such as remediation time, type of fillers and location of a permeable adsorbing layer on the remediation effects of Pb-contaminated kaolinite were explored. The results reveal that the soil water content decreases with increasing energization time and that the water content near an anode chamber was highest, whereas that near a cathode chamber was lowest. When the test was conducted for 7 days, the conductivity near the cathode side was relatively high, whereas the Pb near the anode side was largely removed. Prolonged energization time was conducive to the removal of Pb. In an electrokinetic test, no alkaline region was detected in kaolinite. When a permeable adsorbing layer was placed in the middle of a soil sample, the removal effect was the best. Compared with bone char, a permeable adsorbing layer of calcareous sand significantly improved the Pb removal rate and effectively reduced energy consumption.
Removal of nickel ions from automobile industry wastewater using ion exchange resin: Characterization and parameter optimization
Authors: Yang Bo , Li Caixuan , Wang Jian , Wei Wei , Hao Binbin , Yang Linhao , Tang Jiawei , Zhang Chunhui 
Published: April 2020

Abstract
Ion exchange is an effect process for removing of heavy metals from wastewater effluents. In the present study, the sorption of nickel ion (Ni (Π)) in effluent from wastewater treatment plant of automobile industry was studied by using D113 ion exchange resin. The static shaking absorption experiments revealed that the process of absorption of Ni (Π) was more in line with non-monolayer absorption model of Freundlich that with a maximum absorption capacity of 36.13 mg/g. The column experimental data showed that under the optimum operating conditions which was pH 7.0, temperature 30 °C and 20 mL/min of flow rate it could meet the emission standard (GB25467-2010) of China with 10 h of processing time. Desorption rate of D113 resin could reach above 93.6% by using 0.8% H2SO4 with 5 mL/min of flow rate, and the analysis of FT-IR and SEM proved that −OH was the main functional group of the resin participate in metal binding, which demonstrated that the D113 resin could be considered as an effectively way for the advanced treatment of Ni (Π) ions in the effluents of automobile industry wastewaters.