bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anaerobic Treatment Performance in Presence of Pharmaceutically Active Compounds
Authors: Azizan N.A.Z. , Yuzir A. , Al-Qaim F. F. , Abdullah N. 
Published: July 2020

Abstract
Based on the occurrences of caffeine (CAF), gliclazide (GCZ) and prazosin (PRZ) in existing aerobic treatment processes as well as their persistency and potential risks to the environment, it is desirable to explore an alternative process to ensure complete removal of these compounds. Anaerobic process is widely known for its capability to efficiently degrade organic substrates present in wastewater, making it a viable option for the treatment of pharmaceutically active compounds. This study aims to examine the anaerobic treatment performance in the presence of pharmaceutical compounds. A batch experiment was conducted to assess the performance using synthetic wastewater and anaerobic digested sludge as inoculum at mesophilic condition of 37°C. Pharmaceutical analysis was then carried out using liquid chromatography-time of flight-mass spectrometry (LC-ToF-MS) instrument. Results shown that the anaerobic treatment performance was not affected in the presence of the three compounds. Overall, removal performance of the pharmaceutical compounds in descending order is PRZ > CAF > GCZ.
Effects of pharmaceutical load on the effluent quality using sequencing batch reactor
Authors: Mat Zaini Y.M. , Abdullah N. , Yuzir A. 
Published: July 2020

Abstract
The effect of pharmaceutical load on the performance of laboratory scale sequencing batch reactor (SBR) in terms of effluent quality and sludge settling ability was studied. The SBR was operated using low-strength domestic wastewater and spiked with a unique combination of drugs namely atenolol, gliclazide and prazosin after 21 days of reactor operation. Atenolol and gliclazide were spiked at concentration of 1000 µg/l while 100 µg/l for prazosin. Several parameters were observed which includes concentration of COD, ammonia, MLSS and SVI30. The effluent quality and sludge settling ability before and after drugs introduction were compared. The average COD removal efficiency before and after the introduction of pharmaceutical was 85% and 74%, respectively. The average ammonia removals were 84% and 62% before and after addition of pharmaceutical respectively. MLSS and SVI30 values was successfully maintained within desired value at the end of experiment indicating good sludge accumulation and sludge settling ability.
Surface Roughness of ZnO-SiO2 Nanocoating
Authors: Hasnidawani J N , Azlina H N 
Published: July 2020

Abstract
Nanocoating acted as a barrier to avoid the transportation of corrosive species. Nanoparticles provide the resin or coating with a continuous, solid and protective network layer. Silicon wafer p-type substrate <101> was used as standard materials while tungsten wire of 0.15mm diameter was used as tip for scanning operation. Nanoeducator showed that present of nanoparticles increase the surface roughness and maintain the size of nanoparticles. Nanoparticles well distribute in nanosize. Immersion test showed nanoparticles also, improved the adherence of the cured epoxy coating.
Reducing Food Waste: Strategies for Household Waste Management to Minimize the Impact of Climate Change and Contribute to Malaysia’s Sustainable Development
Authors: Nordin N H , Kaida N , Othman N A , Akhir F N M , Hara H 
Published: July 2020

Abstract
The Food and Agriculture Organization (FAO) of the United Nations estimated, one-third of the food produced worldwide i.e.1.3 billion tons is either lost or wasted throughout the food supply chain from primary production to final consumption. According to The Food Sustainability Index (FSI), the sustainable food system has three pillars namely food loss and food waste, sustainable agriculture and nutritional challenge. Food waste can be classified into food products that are lost during the production phase, unavoidable food waste that lost during the consumption phase and avoidable food waste that could have been eaten but lost during the consumption phase. There are several popular treatment methods of food waste that have been widely applied in developing countries including animal feeding, composting, anaerobic digestion, incineration, and landfills. The common treatment of food waste in developing countries is dumping or landfills. About 95% of food waste ends at landfill sites in which food waste is converted into methane and other greenhouse gasses that affect climate change. Therefore, reducing food waste contributes to abating interlinked sustainability challenges including food waste and food safety, climate change and stress to natural resources. This paper sets out recommendations on how to reduce food waste generation by using six strategies that are food waste separation or composting behavior, eating behavior, cooking behavior, consumer’s environmental knowledge of food waste, consumer’s environmental awareness and government policy on household food waste management, which can contribute to the nation’s goal for sustainable development.
Evaluation of Machine Learning approach in flood prediction scenarios and its input parameters: A systematic review
Authors: Maspo Nur-Adib , Bin Harun Aizul Nahar , Goto Masafumi , Cheros Faizah , Haron Nuzul Azam , Mohd Nawi Mohd Nasrun 
Published: July 2020

Abstract
Flood disaster is a major disaster that frequently happens globally, it brings serious impacts to lives, property, infrastructure and environment. To stop flooding seems to be difficult but to prevent from serious damages that caused by flood is possible. Thus, implementing flood prediction could help in flood preparation and possibly to reduce the impact of flooding. This study aims to evaluate the existing machine learning (ML) approaches for flood prediction as well as evaluate parameters used for predicting flood, the evaluation is based on the review of previous research articles. In order to achieve the aim, this study is in two-fold; the first part is to identify flood prediction approaches specifically using ML methods and the second part is to identify flood prediction parameters that have been used as input parameters for flood prediction model. The main contribution of this paper is to determine the most recent ML techniques in flood prediction and identify the notable parameters used as model input so that researchers and/or flood managers can refer to the prediction results as the guideline in considering ML method for early flood prediction.
Integrated Geophysical Method, Standard Penetration Test, and Remote Sensing For Interpreting, Correlating, and Analysing Cause of Landslides from Irrigation Pipe Leakage, Case Study: CBLP Hydro Power Plant
Authors: Frankstein A. , Gregorio A.P. , Darrian  , Dwa D.W. , Sugiyono  
Published: July 2020

Abstract
CBLP Hydro Power Plant has experienced landslide that caused damage to waterway structure. Relocation of waterway was done in order to move into a more stable area. However, this solution is ineffective wherein the southern part of waterway still encounters landslide. Integration of 2.5D Electrical Resistivity Tomography (ERT), 3D Vertical Electrical Sounding (VES), Very Low Frequency (VLF), Standard Penetration Test (SPT), and digital elevation model from Remote Sensing are carried out to determine lithology, hydrology, topography, and determine local anomaly of research area. From VES model, the lithology consists of landslide material, breccia altered into sandstone with high water content, and massive breccia. From ERT model, we found a shallow anomaly of low resistivity in line 3 and 7. This anomaly is validated by doing 2 meters deep excavation and found a rapid flow of water caused by a leak from irrigation pipe. VLF model is used to validate water leakage continuity. In conclusion, northern part of waterway is relatively safe due to water leakage continuity absence, with relative density of 34 (SPT) and resistivity number 6.87 Ωm, whereas the southern part of waterway is high risk because affected by continuity of water irrigation pipeline leak.
Integrated Geophysical Methods to Determine Subsurface Structure of PSK-1 Mini Hydro Power Plant, Citeurep Creeping Area
Authors: Darrian  , Prawira Gregorio Adri , Arphan Frankstein , Warnana D D , Sugiyono  
Published: July 2020

Abstract
Citeurep area of PSK-1 mini hydro power plant is one of the areas passed by waterway to flow water into the power plant turbine and it resides on a foothill with some natural water springs. As time passes, this waterway suffered continuous damage due to continuous slow movement of land mass (creeping). Therefore, integration of geological data, drill data, remote sensing (drone data), Vertical Electrical Sounding (VES), Electrical Resistivity Tomography (ERT), and Very Low Frequency (VLF) were carried out, creating a 3D VES model, 2D ERT model, and 2D VLF model. Geological data, drill data, and the drone data are used for elevation model and utilized as supporting data to create a better electrical and VLF model to determine the subsurface lithology. VES and ERT models show a subsurface structure that formed an appearance of a natural “weir” from breccia rock of Koleberes Formation (140-380 Ωm) and thick low resistivity zones that contain sandy grains up to 50 meters deep (6-11) Ωm in the Citeurep area. VLF model shows some conductive zones that are interpreted as a flow of underground water. All processed data indicates that Citeurep area is an alluvial that is dominated with breccia as a bedrock. It can be concluded that the causes of creeping are due to: 1) heavy load from the top of the hill coupled with thick sedimentary layers saturated with water which influence the addition of mass and 2) lack of layer cohesion. The absence of sudden landslides is largely caused by hard breccia rocks that form a structure in appearance of a natural “weir
Optimizing Energy Consumption Strategy of Water-loop Heat Pump
Authors: Tu Zhiyuan , Peng Fusheng , Wang Jie , Huang Chunjie 
Published: July 2020

Abstract
In order to study the influencing factors of energy consumption of water-loop heat pump system, the optimal loop-water temperature strategy is proposed. The multi-variable building load is transformed into circulating water energy only related to water temperature. From Carnot cycle to think of the optimal loop-water temperature strategy, the original water temperature control method is changed. This paper shows that there is a unique circulating water temperature, which can minimize the overall energy consumption under certain building load conditions.
A Noise Monitoring System Used for Substation Boundary: Part 1 -- Devices and Synchronized Measurement Method
Authors: Hou Guoyan , Li Shiping , Wang Jian , Lan Xinsheng , Tang Ming , Zhou Yiqian , Liu Tao , Liu Hongzhi 
Published: July 2020

Abstract
Due to the interference of background noise, it is necessary to measure multi-point noise synchronously in the noise measurement of substation boundary. This measurement method not only increases the work intensity of measurement personnel, but also affects the reliability and accuracy of measurement data. In the long-term continuous noise monitoring task, there are still some problems, such as the data does not support online transmission, or cannot guarantee multi-point synchronous monitoring, or the standby time is insufficient. In order to solve the problem mentioned above, this paper provides a wide area synchronous noise measurement method and a continuous noise monitoring device. By deploying multiple sets of noise monitoring devices at the boundary of the substation and conducting wide area synchronous measurement, it can significantly improve the reliability of noise measurement data and improve the monitoring efficiency.
A Noise Monitoring System Used for Substation Boundary: Part 2 -- Noise Evaluation Method of Multi-Measuring Points
Authors: Li Shiping , Hou Guoyan , Wang Jian , Lan Xinsheng , Tang Ming , Zhou Yiqian , Liu Tao , Liu Hongzhi 
Published: July 2020

Abstract
After the noise monitoring system of substation boundary is deployed, the monitoring platform can obtain a large number of original noise data. How to deal with the noise monitoring data and give the specific indicators to evaluate the noise radiation level need further analysis. In this paper, the distribution of long-term noise monitoring sequence values is discussed by means of noise distribution probability fitting. Seven mainstream distribution fitting functions are compared and analyzed, and it is found that burr distribution has better performance. The final evaluation mean value is given by the three parameters Burr distribution.
Development of a smart electricity meter for households based on existing infrastructure.
Authors: Perekalskiy I N , Kokin S E 
Published: July 2020

Abstract
Following the universal introduction of information technologies in the electric power industry, it became necessary to create a more perfect measuring infrastructure that would reduce theft of electricity and implement new concepts such as demand response and the P2P market. Existing meters are able to solve the problem of reducing theft, but they do not yet support the functions of P2P trading. This article proposes the development of a smart metering device based on ESP 8266 controller for detection and control of electrical energy and remote turning off or turning on the consumer supply. The meter will be able to exchange information with the cloud platform in real time and provide information about the decline in the quality of electrical energy. It is proposed to use Wi-Fi (main) and GSM (reserve) communication channels.
Experimental research on pressure fluctuation characteristics of high-head Francis turbine under part load conditions
Authors: Chen Minjia , Zhu Guojun , Wang Zirui , Li Yunzhe 
Published: July 2020

Abstract
Pressure fluctuation at partial load operation is an obvious and harmful phenomena in Francis turbines. It could be induced by rotor stator interaction and cavitation vortex rope in draft tube and must be minimized during the design of Francis turbine. To reduce the pressure fluctuation at partial load operation, accurate assessment of the cause of this phenomena is crucial. In this paper, a reduced-scale physical model of a high head Francis turbine is used as the research object, and the test technique is applied to investigate the excitation source of the pressure fluctuation at two partial load operation conditions. Based on experimental data, it can be concluded that the amplitude of pressure fluctuation in the draft tube significant is increased with the decrease of the power of turbine, which is indicated that the stability of turbine deteriorated sharply with the power reduced. But the dominant frequency of the pressure fluctuation is almost the same. And the strong pressure fluctuation in the draft tube can be transmitted to the upstream components, which are affected the pressure fluctuation caused by rotor stator interaction.
Application and prospect of artificial intelligence in smart grid
Authors: Jiao Jian 
Published: July 2020

Abstract
With electricity market reform and the application scenarios of renewable energy and power demand response, the power system presents the characteristics of openness, uncertainty and complexity. The construction and application of smart power grid have become a trend. The application of artificial intelligence (AI) in smart grid provides powerful technical support for digital power network. Scenarios of AI in smart grid include power supply, power system optimization, power user behaviour analysis, fault diagnosis, etc. Although the application of AI in the smart grid faces many problems, such as insufficient data sample accumulation, insufficient reliability, imperfect infrastructure, lack of special algorithm for power industry, etc., on the whole, AI is a powerful tool to push smart grid into the new generation of power systems and energy networks.
Study on simultaneous extraction of coal and gas and clean utilization in high-gas outburst mines
Authors: Yang Fengfeng , Jiao Yunfei , Zhang Jufeng , Gao Dongfang , Zhao Kezhen , Ma Deqi 
Published: July 2020

Abstract
In order to solve the problem of gas overrun during the mining of large mining height working face in high process mine, based on the gas emission prediction, the source and composition of gas emission are analyzed, gas extraction method of combining the grossmeasures boreholes with borehole along the seam are put forwarded, the reasonable arrangement of the gas extraction parameter are designed, comprehensive control of gas in working face, heading face and goaf was carried out, and the new scheme of high concentration gas and low concentration gas clean utilization is proposed. It has been proved by practice that the coal and gas co-mining and clean utilization scheme of ‘gas pre-extraction + gas civil-oriented + gas power generation + waste heat utilization’ is of great significance to ensure coal mine safety production and environmental protection.
Research on optimization design method of horizontal well of volcanic gas reservoir in Daqing Xushen deep natural gas field
Authors: Zhonglin  
Published: July 2020

Abstract
The volcanic gas reservoir in Daqing Xushen deep natural gas field has low porosity, low permeability, strong heterogeneity, more bottom water layer, low production of vertical wells in most blocks and other characteristics. The development of horizontal well can better improve the development effect of gas reservoir. The optimization design method of “One choice, two determination and three optimization” horizontal well is established based on the gas reservoir geology and dynamic new achievements on the fine identification of volcanic bodies, prediction of well control range of gas wells and so on according to the characteristics of volcanic bodies controlling reservoir development. This method shall be applied to the optimization design of horizontal wells, which makes the production capacity of the well increase significantly and better ensures the continuous and stable exploitation of gas reservoir.
Analysis on the Influencing Elements and Optimization Countermeasures of New Energy Vehicles’ Consumer Satisfaction—Analysis Based on Internet Online Review Mining
Authors: Wang Suyang , Liu Qin 
Published: July 2020

Abstract
With the rapid development of the Internet, more and more consumers are used to posting their own purchase reviews on online platforms, and automotive consumers are no exception. New energy vehicles have been regarded as one of the methods to improve energy and environmental issues, and have received attention from countries around the world. The Chinese government has also vigorously supported the new energy vehicle industry. However, in the process of green innovation, new energy vehicle manufacturers do not understand consumers’ satisfaction with new energy vehicles. Therefore, in this paper, the online review of new energy vehicles is used as the research object, and the text mining method is used to analyse and research the online reviews of new energy vehicles to provide effective suggestions for new energy vehicle manufacturers in terms of green innovation.
Research on SOC balance strategy of STEKF battery based on MMC-BESS model
Authors: Zhu Xiaojun , Li Yan , Yang Handi , Xue Jinhua , Cheng Zhijiang , Zhang Qun , Tao Yibin 
Published: July 2020

Abstract
Under the condition of the battery current fluctuation and the uncertain initial value of the battery SOC in the MMC(Modular Multilevel Converter) battery energy storage system, there are relatively big errors in the prediction of SOC estimation values and there are poor results of the battery SOC balance, by using the ampere-hour integration method and the open-circuit voltage method. The method of model prediction was adopted to study the SOC balance strategy. Firstly, the power transfer function between each port is derived and the second-order Thevenin equivalent nonlinear model of the battery is established. On this foundation, the more accurate estimation results of the battery SOC are obtained employing the strong tracking extended Kalman filter algorithm, under the condition of the large fluctuation of the battery current and the uncertainty initial value of the battery SOC in the MMC-BESS model. In the end of the paper, the validity of the method introduced in the paper way was confirmed according to the simulation results of the simulation calculation based on the power transfer relationship between the battery SOC and each port, using the three-level SOC balance strategy to balance the battery SOC.
Economic Analysis of Electric Vehicle Operators in Participating Auxiliary Services Market
Authors: Peng Xiaofeng , Bai Desheng , Zhu Yankai , Liu Dunnan , Wang Mingcai , Cao Zijian , Dai Zhongxian , Han Xinyang 
Published: July 2020

Abstract
In recent years, with the rapid development of electric vehicles, the security of power system has been affected by the wide access, and the economic value potential of its participation in auxiliary services has been paid more and more attention. In this paper, through the analysis of the problems of electric vehicle participating in peak shaving auxiliary service, the economic value of electric vehicle energy storage participating in peak shaving auxiliary service is reflected, and the cost and potential benefits of electric vehicle energy storage system are analyzed, which is helpful to study the economy of electric vehicle energy storage further.
Nonlinear dynamics analysis on intermediate bearing-dual rotor system for a marine gas turbine
Authors: Jia Yan , Liu Yongbao , Wang Qiang , Li Mo , Li Jun 
Published: July 2020

Abstract
In this paper, a marine dual-rotor gas turbine is taken as the research object, and a dual-rotor system model with a simplified structure and supported by intermediary bearings is established based on its structural characteristics and nonlinear characteristics of bearings. The Lagrange equation of motion is used to derive the differential equations of motion of the system, and the fourth-order Runge-Kutta method is used to solve the equations. The nonlinear dynamic response and bifurcation chaotic characteristics of the dual-rotor system with speed changes are studied. The results show that when the speed is low, the system is in a single-cycle motion. As the rotational speed increases, the system exhibits multiplicative bifurcation, Hopf bifurcation and chaotic behaviour. This result provides theoretical guidance for the design and safe and stable operation of the rotor system.
The Control Strategy of Three-Phase Unbalance Load in Low Voltage Distribution Networks Based on SVG
Authors: Zhi Han , Dong Wang , Yuqing Jiang , Wei Zhu , Jianing Xu 
Published: July 2020

Abstract
For the three-phase imbalance management, this paper points out that the capacity of static var generator (SVG) can be configured based on smart meter measurement data, and the SVGs coordinated control strategy is used to compensate the three-phase imbalance load of the distribution network. Communication bus and coordinated control strategy are introduced in the proposed system. so that the SVG connected downstream of the low-voltage line can use the remaining capacity after compensating its downstream unbalanced current to sequentially compensate for the insufficient capacity of the upstream SVG. The low voltage problem of each node is further reduced by the reverse power flows from the downstream SVG to the upstream SVG. Simulations for actual effect evaluation of the proposed compensation system were done in Matlab/Simulink. Validity of the proposed system is confirmed by the simulation.