bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk Assessment of Seismic Vulnerability of All Hospitals in Manila Using Rapid Visual Screening (RVS)
Authors: Clemente S.J.C. , Arreza J.S.B. , Cortez M.A.M. , Imperial J.R.C. , Malabanan M.J.F.
Published: July 2020

Philippine is one of the countries near in the Pacific Ring of Fire. In recent years, several moderate to high seismic activities happened that leads to casualties, deaths and damages in different structures. Manila is the capital of the Philippines with a population of almost 1.8 million. Many structures have been considered as old and unsafe and with an impending earthquake, it is essential to rehabilitate these structures. The imminent danger of the West Valley Fault when it moves is known throughout the metro manila and other neighbouring regions. The damage and casualties that will sustain from the possible 7.2 magnitude earthquake is fatal. Conducting mitigation programs is critical for it will greatly benefit the government and the people. Rapid Visual Screening (RVS) is an effective and efficient way of assessing the building’s structural integrity. This methodology is used to assess the structure’s seismic risk by visual observation of the exterior and interior of the buildings and a data collection form. RVS was applied in 26 hospital building’s located in Manila and the outcome of the assessment has shown that only 6 hospital buildings proved to be seismically adequate when using the level 1 data collection form. RVS is an effective tool in providing initial insight in the building’s vulnerability to seismic event.
A Method of Identifying Critical Road Segment: A Case Study of Peninsular Malaysia Road Network
Authors: Redzuan Amir A. , Anuar Aznah Nor , Zakaria Rozana , Aminudin Eeydzah , Yusof Norbazlan M. , Jamil Amirul Hakim
Published: July 2020

The resiliency of transportation infrastructures has been a major concern for the continuity of road services. In order to assess these issues, road network analysis is crucial to investigate the functioning of the existing road network and pinpoint each critical road segment. This enables early preparation for road operators and planners to focus on the road segment user most dependent on of which will be impacted most in case of disruption. This paper aims to introduce a method integrating different network analyses using a combination of three measures namely road segment length, betweenness centrality, and road density to identify critical road segments. The result shows the relationship between the different modes proposed with respect to the topological data implemented and concluded as the critical value of each road segment. This paper also includes the application of the methodology in a national scale region of Peninsular Malaysia road network.
Flood Preparedness Among Agencies In Segamat, Johor
Authors: Ridwan Wong Mohd Muhaimin , Ahmadun Fakhru’l-Razi , Said Aini Mat , Ridzuan Ahmad Azan , Fazan Ahmad Noor Diyana
Published: July 2020

Within the southern region of Peninsular Malaysia, Johor has experienced the most severe flood disasters with almost 9,000 evacuees between the year 2012 to 2017, which the locals attributed to poor flood management and administration. Eight main responding agencies identified based on NSC Directive No. 20 were surveyed in Segamat, Johor, in order to assess current perception and practices, as well as ascertain aspects of flood management that need improvement. A self-administered questionnaire was used which focused on the agencies’ flood response capabilities, and five key determinants towards effective disaster response namely collaboration, predisposition, information sharing, coordination among agencies, and preparedness. Results from the survey among 80 respondents found that responding agencies in Segamat have a positive perception of their planning and responding capabilities. Based on a checklist of preparedness measures, the majority of respondents were found to have a high level of flood preparedness, particularly for emergency coping and restoration works. However, while the findings showed that the agencies have high confidence in responding to flood individually, there are opportunities for improvements in their capabilities to work and respond cohesively with each other and with the local communities.
Flow regime alteration analysis under climate change in Tonle Sap Subbasin
Authors: Heng B , Oeurng C , Try S , Yuzir A
Published: July 2020

Climate change is considered as a major driving factor to intensify the challenges to the ecosystem. Critical flow condition which is occurred under climate change could lead issues to ecosystem and biodiversity. In contributing to this concern, Soil and Water Assessment Tool (SWAT) and Indicators of Hydrologic Alteration (IHA) were integrated to define the impact of climate change relevant to ecosystem. SWAT model presented a good performance on simulating daily streamflow in this research. As the result, model calibration was evaluated with statistical indicators of NSE=0.63, RSR=0.61, and PBIAS=-5.42%, while model validation obtained better performance of NSE=0.71, RSR=0.54, and PBIAS=-5.04%. The developed model was used to simulation streamflow under climate change scenarios. Three projected climate change models (GFDL-CM3, GISS-E2-R-CC, IPSL-CM5A-MR) with different two Representative Concentration Pathways (RCP2.6 and RCP8.5) in the 2030s, 2060s, and 2090s were selected. Results indicate that timing, frequency, magnitude, and variability are more likely to have great changes for GISS-E2-R-CC with both emissions, while result indicates small changes with GFDL-CM3 and IPSL-CM5A-MR models.
Analytical method on reliability of rainfall data from X-band polarimetric radar
Authors: Hasan N A , Goto M , Miyamoto K
Published: July 2020

Recently in the field of disaster risk management, the applications of rainfall data from X-band Polarimetric radar are rapidly increasing due to the advancement of radar technology and analytical tools. In most cases, these rainfall data are used in the development and application of the meteorological and hydrological models. One of the typical purposes of such models is to report and disseminate disaster information such as rainfall to the government, related agencies, and the public for disaster prevention or mitigation. To accomplish this, the reliability of rainfall data from X-band Polarimetric radar is one of the most important factors as the data are the fundamental input. Equally important is the appropriate analytical method of the data to ensure the predicted rainfall information based on the collected data is reliable and safe to be used for further development and applications. Under such circumstances, this paper aim to investigate and evaluate the types of analytical methods for rainfall estimation by using X-band Polarimetric radar data. Content analysis was carried out and as a result, the statistical analyses were found as an appropriate analytical method to determine the reliability of rainfall data from the X-band Polarimetric radar. Further, the result from this study will be used to apply to a set of actual rainfall data from X-band Polarimetric radar and Automated Meteorological Data Acquisition System implemented in a region in Japan.
Seismic fragility curves of steel structure industrial building using IDA method
Authors: Arjuna Norazah , Adnan Azlan , Ramli Mohd Zamri , Aizon Nabila Huda , Alel Nurasmawisham , Muhammad Yuzir Muhamad Ali , Bakar Nabilah Abu
Published: July 2020

Recent natural disaster events have caused damage to structures and led to loss of lives. Steel structure industrial building is one of the important structures that needs to be examined as these structures can have huge impact on the surrounding areas. Therefore, this study presents the fragility curves and performance curves of steel structure industrial building under earthquake loading. The structure consisted of beam, column, and bracing were modelled using three dimensional finite element modelling. The fragility curves were obtained for the structure, and the performance curves were developed based on lateral load, which was affected by the geometry of the building. Three records of far-field ground motion and three records of local ground motion were used for incremental dynamic analysis (IDA). The five levels of performance stated by FEMA-273, namely, operational phase (OP), immediate occupancy (IO), damage control (DC), life safety (LS), and collapse prevention (CP) were used as main guidelines to evaluate the structural performance. Results showed that, probability damage for operational phase, OP started at 0.19g and 5% of the structure analysed are expected to have immediate occupancy IO, indicating minor cracks to the structure at 0.4g PGA. Moreover, the performance response of the structure to the earthquake was obtained from the study.
Flood mapping using Sentinel-1 SAR Imagery: Case study of the November 2017 flood in Penang
Authors: Saleh A. , Yuzir A. , Abustan I.
Published: July 2020

The Sentinel-1 SAR image by the Europe Space Agency (ESA) in the Copernicus Programme is an open source data which offers good data to develop flood inundation mapping. The flood inundation mapping is essential information for local authority personals or researchers to develop flood inventory map. The objective of this study is to develop a flood inundation mapping on November 2017 event to assess its use as potential flood inventory mapping data in Penang. The threshold method was carried out using Sentinel-1 image to extract the flood map. This method is pixel value used to separate the grey image into two parts. The flooded and non-flooded areas can be identified by separating the backscatter lower than the threshold value. The results revealed that the flood inundation maps are able to be extracted out from Sentinel-1 images.
Parameter Estimation of Extreme Rainfall Distribution in Johor using Bayesian Markov Chain Monte Carlo
Authors: Nazmi N , Saipol H F S , Yusof F , Mazlan S A , Rahman M A A , Nordin N A , Johari N , Aziz S A A
Published: July 2020

Heavy rainfall and the associated floods occur frequently in the Malaysia and have caused huge economic losses as well as massive impact on agriculture and people. As a consequence, it is necessary to understand the distribution of extreme rainfall in order to improve the managements in a country. Thus, the aim of this paper is to determine the best method to estimate parameters of Generalized Extreme Value (GEV) distribution that represent the annual maximum series (AMS) data of daily rainfall by using method of moments (MOM), maximum likelihood estimators (MLE) and Bayesian Markov Chain Monte Carlo (MCMC). The daily precipitation rainfall amount of 12 rain gauge stations in Johor from year 1975 to 2008 were used and the AMS data of each year were fitted with GEV distribution. Based on goodness-of-fit tests, namely Relative Root Mean Square Error (RRMSE) and Relative Absolute Square Error (RASE), the performances of three parameters of GEV distribution estimated by MOM, MLE and Bayesian MCMC were compared for each station. The results indicated that Bayesian MCMC method was performed better than MOM and MLE method in estimating the parameters of GEV distribution.
Anammox reactor treating low strength domestic wastewater: a review
Authors: Arumugham Thilagavathi , Husaini Nur’ Amirah , Yuzir Ali , Mohamad Shaza Eva , Iwamoto Koji , Abdullah Norhayati
Published: July 2020

Anaerobic ammonia oxidation (anammox) is a promising biological wastewater treatment process. It has been widely implemented in many industries due to lower oxygen consumptions besides being an environmental friendly method for wastewater treatment. However, there are several challenges in the process for potential application such as low anammox bacterial abundance and slow growth rate that lower the efficiency of the reaction. Therefore, several factors are being considered during operation of the anammox process. There are various anammox bacteria, which may be enriched using special techniques. Lower nitrogen content of influent brings great challenges for anammox performance due to inhibition caused by ammonium-oxidizing bacteria (AOB) and nitrite oxidizing bacteria (NOB) in nitrification process. This review highlighted the anammox process in various industry as well their anammox bacteria morphology, mechanism and strategies to enrich the bacteria. Coupled anammox process with low strength domestic wastewater requires more research to enable potential application in wastewater treatment.
Life Cycle Assessment of Biochar as a Partial Replacement to Portland Cement
Authors: Campos J. , Fajilan S. , Lualhati J. , Mandap N. , Clemente S.
Published: July 2020

Biochar also known as ‘biocarbon’ or ‘biocoal’ is a material that has a charcoal similar property. It is obtained from thermolysis (pyrolysis) of biomass feedstocks and plant matters. It can help the process of eliminating carbon dioxide from the atmosphere. The biochar was considered as waste by industrial plants and considered no additional cost except for the transportation. Biochar was tested for its chemical properties in Department of Science and Technology as a parameter for Simapro. Environmental and health impact were analyzed in this study for concrete with biochar as partial replacement for cement. Different mixtures with zero percent to twenty percent biochar replacement was simulated using life cycle assessment with the help of Simapro. Different sources in Luzon island, Philippines were gathered and found out that sources in southern part of Luzon is the best sources for biochar because of its near location that decreases the effect of transportation. Also, concrete with biochar replacement with or without considereing the effect of transportation yields greater health and environmental impact compared to mixture without biochar replacement.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Research on the Training Program and Develop the Curriculum System for HVDC Equipment Maintainer
Authors: Pei Ying , Niu Lin , Liu Junjie , Gao Nannan , Wang Lei , Li Pei , Yin Qinghua , Wang Lulu
Published: July 2020

It has a complicated system wiring, a large variety of equipment, and high operation and maintenance technology requirements in the high-voltage direct current (HVDC) converter station. So the higher requirements on the technical skills will be put forward for the operation and maintenance personnel working in the (HVDC) converter station. It analyzes the training needs of HVDC equipment maintenance personnel systematically, researches on the training program deeply, and designs the course contents carefully in this paper. The results will play a positive role in the cultivation of HVDC technical staff.
Research on Deleveraging of New Energy Enterprises and Risk-taking of Enterprises
Authors: Juan Wang
Published: July 2020

In the passing years, thanks to the support of the state and the government, the new energy industry has advanced in leaps and bounds and thus become a vital supporting force for China’s economic growth. The rapid growth of new energy enterprises requires a large amount of financial support, and debt financing is its inevitable choice. In the context of deleveraging of non-financial enterprises, does deleveraging of new energy enterprises exert an impact on corporate risk-taking? With A-share new energy listed companies from 2011 to 2018 as research samples, this thesis analyzes the impact of debt scale changes on corporate risk-taking from three perspectives: the overall debt level, the degree of deleveraging and the degree of deleveraging of bank loans. The results turn out that the asset-liability ratio significantly increases corporate risk-taking, the degree of deleveraging significantly reduces corporate risk-taking, while the deleveraging of bank loans reduces corporate risk-taking. Analysis of the impact of deleveraging of new energy enterprises on corporate risk-taking is conducive to clarifying the extent of the impact of deleveraging policy on investment willingness of new energy enterprises, thus providing theoretical basis for formulation and implementation of policies.
Research and Application of Multi-energy Complementary Comprehensive Energy Distributed Measurement and Control System
Authors: Wei Dajun , Zhang Yuanpeng , Li Junen , Yuan Shuai , Geng Yujie , Cheng Yan , Yu Peng , Wang Yuejiao , Teng Wei
Published: July 2020

Multi-energy complementary integrated energy system has the problems of complex equipment operation, incomplete operation data monitoring and multi-time scale characteristics. In order to solve these problems, the operation state data of power, gas, cooling, heating network and distributed power supply as well as the operation state parameters of various networking energy consumption equipment at the load side were collected and monitored. This paper was optimized the system data collection and transmission method through multi-time scale data modeling and ultra-lightweight stream encryption algorithm, and the system operation multi-index evaluation system was constructed from three aspects of economy, technology and environmental protection. In this paper, the rationality and reliability of the scheme of stream encryption and the method of multi-index comprehensive evaluation were verified through the analysis of application examples. From multiple time scales, the system can monitor and control the change of heterogeneous energy stream, such as cooling, heating and electricity, and also can realize the high reliability data acquisition and real-time communication of multi-energy stream. It provided a data source for the real-time scheduling and control decision-making of the follow-up integrated energy system.
Energy Efficiency Optimization Management for Industrial Enterprises with Electric Vehicle Charging Stations
Authors: Yuan Jiang , Hao Tian
Published: July 2020

Most industrial enterprises only have extensive production mode and lack of certain economy. Combined with the characteristics of renewable energy power generation system and electric vehicles, a mathematical model of electric vehicles with wind power and photovoltaic power generation station was firstly built, and then an industrial enterprise energy efficiency optimization management model with electric vehicles charging station was built on this model. Improved adaptive genetic optimization algorithm is programmed based on MATLAB 7.0. Then taking a certain system as an object, we optimize the energy efficiency of industrial enterprises in 5 typical scenarios. The results show that the reasonable utilization of renewable energy power generation and electric vehicle charging load can significantly improve the energy efficiency of industrial enterprises.
Active and reactive power joint optimization of active distribution network under new energy access
Authors: Wei Wei , Jiangbin Zhang , Zhao Yang , Zihan Ma
Published: July 2020

The access of large-scale distributed generation (DG) to the active distribution network has a great influence on the power flow, node voltage and network loss of the distribution network. In this paper, in order to improve the operation level and economic performance of the active distribution network, the distributed power supply reactive power output and load reduction are used as control variables to establish a multi-objective optimization model with the total network loss, voltage deviation and load reduction cost as the objective function. The voltage of each node, system network loss, load reduction cost and their corresponding control variables are calculated by improved simulated annealing multi-objective particle swarm optimization algorithm. Finally, the IEEE33 node system is used for example verification, the results show that the mathematical model can achieve coordinated control of voltage, reduce network loss and meet the requirements of actual power grid operation.
Comprehensive utilization of waste heat produced by fuel cell on manned space process
Authors: Wen Chen , Qu Xi , Bai Jingying , Feng Lei , Wang Nan , Cui Qingxin , Xie Wen
Published: July 2020

In order to solve the problem of large amount of waste heat generated by aerospace fuel cells and improve the comprehensive energy utilization efficiency of fuel cells, the proposes of a comprehensive utilization plan of fuel cell waste heat for the working conditions involved in manned spaceflight, including gas preheating, system insulation and microorganisms were designed in this paper. The waste heat were proposed to be used in cultivation, plant cultivation, urinary treatment of ring hole bio-protection system, harmful gas and carbon dioxide removal, and the construction of heat utilization methods and processes. Combined with high-efficiency phase change material heat storage, a comprehensive utilization method of fuel cell waste heat were designed. The comprehensive utilization of waste heat provides an effective path for optimizing the spacecraft system for improving the comprehensive utilization efficiency of fuel cells.
Inertia and Damping Analysis of Grid-side DC/AC Inverter Control Strategy for Direct-drive Wind Turbine
Authors: Li Ding , Liu Yili , Li Mingxian , Li Meiding , Ma Xiaoyan
Published: July 2020

With the large-scale connection of direct-drive wind turbine (WT) to the power grid, the proportion of installed capacity and rotational inertia of traditional power grids have been reduced, and the dynamic support capacity of the power grid has been relatively weakened, which increase the difficulty of system inertia effect control and steady-state mechanism analysis. In this paper, a DC voltage droop control strategy under high-frequency components is proposed. This control method can play a positive role in reducing the grid frequency deviation and to promoting the analysis of the rate of change of frequency. Firstly, a static synchronous generator (SSG) mathematical model of a wind power system is established by analogy to the dynamic analysis theory and method under the traditional electromechanical time scale. Secondly, from the perspective of DC-voltage timescale (DVT) dynamic characteristics analysis and control, the inertia, damping and synchronization effects of the WT are studied, and the mathematical expressions of the system equivalent parameters are derived. Finally, through the comparison between conventional droop control and high-frequency component droop control, the advantages and disadvantages can be obtained, subsequently, the effectiveness of the high-frequency droop control on the DC side and the correctness of the analysis conclusion can be verified through simulation.
Optical Image Damage Detection Technology Based on Convolutional Neural Networks
Authors: Wang Y , Yu M , Zhong S , Wang L , Xu M
Published: July 2020

In the daily work of technical defense of universities, many optical devices need to be managed, and there are many components that are easily damaged in these devices. Therefore, timely detection of component damage in optical equipment is of great significance for reducing equipment losses and improving work efficiency. The traditional detection method is to use professional equipment for testing after removing the equipment. In this way, for the technical defense work of universities, the real-time online of the equipment cannot be guaranteed and the use cost of the equipment will increase. In the field of computer vision, deep learning and convolutional neural network technology have begun to play an important role with the wave of artificial intelligence. Therefore, this subject attempts to apply this technology to the damage detection of technical defense equipment in universities, thereby improving work efficiency and reducing equipment loss.