bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Heat Transfer Design of Green Energy-saving Heating Pipe
Authors: Gui Zetao , Chen Peng , Lu Shengya 
Published: May 2023

Abstract
To design a green energy-saving heating pipe, this paper studied the structural transformation of the heating pipe and carried out the effect simulation analysis. The key is to add an impeller device inside the ordinary heating pipe to convert part of the kinetic energy of the fluid in the heating pipe into the mechanical energy of the impeller. The energy generated by the rotation of the impeller can be transferred through gears, connecting rods, and other components and converted into heat energy for recovery in the boiler room to achieve the reheating effect. This design model is mainly used by Solid works and then imported into ANSYSF Fluent for numerical simulation to analyze and study the fluid around the impeller. The result showed that the flow velocity of the fluid around the impeller was reduced, and the local resistance loss was negligible. Meanwhile, part of the kinetic energy of the fluid has been converted into the mechanical energy of the impeller, effectively realizing energy saving.
Research on Operation Control Strategy of Wind and Solar Storage Systems Considering High Ratio of New Energy Access
Authors: Yu Changle , Li Wenwen , Yang Shoulian , Zhang Su , Xu Dahai , Zhao Hongbo 
Published: May 2023

Abstract
High proportion of distributed new energy generation, DG) Connect to the grid to mitigate problems such as fossil energy shortages and the threat of global climate change. However, distributed new energy has the characteristics of fluctuation and uncertainty of output, so it will bring some difficulties to energy consumption after the high proportion is connected to the power grid. Given the above problem, the uncertainty of wind and solar output is considered in this paper to ensure that accuracy and the stability of the power grid operation after a large amount of distributed energy is accessed, with 8,760 hour-by-hour power generation data throughout the year as an input. Three kinds of wind and solar storage system operation control strategies are compared. Using storage battery energy storage method and multiple energy storage methods on the fly surplus storage, coordinated control of the system, and setting different discharge priorities in the energy storage portion, increase real-time and ordered energy consumption.
Application of Mobile Energy Storage System in Dynamic Capacity Increasing Scenario
Authors: Zhu Hui , Wang Qingwei , Fan Yong , Xing Yu , Li Honglei 
Published: May 2023

Abstract
Aiming at the problem of insufficient capacity caused by the intermittent peak power consumption of some small and medium-sized industrial and commercial power users, the electrochemical energy storage on the customer side can exert a dynamic capacity increase effect, while taking into account peak valley arbitrage and emergency power protection functions. The mobile energy storage system further increases the flexibility of the energy storage system and the applicability of scenarios. It can be matched with the smart cloud platform of energy storage on the customer side. The business model under the application scenario has a good market promotion prospect. Through the actual case analysis, it is proved that the system and the model meet the theoretical expectation.
Optimization Planning Method for Power Supply Layout of Multi-Energy Power System
Authors: Li Shilong 
Published: May 2023

Abstract
With the continuous expansion of the scale of renewable energy generation and the rapid development of its technology, the forms of power grid become more diverse. Meanwhile, the coupling and uncertainty of various heterogeneous energy resources will significantly change the characteristics and dynamic balance mechanism of the power system. Power generated from renewable energy sources such as wind and light is uncertain and uncontrollable, and such renewable energy enjoys complementary characteristics across time and space. In this paper, we investigate the uncertainty of renewable energy and its complementary space-time characteristics among various power sources and propose to take advantage of the synergistic effects of different forms of energy to realize optimal allocation of resources in a multi-energy power system on a larger scale. Taking the newly built energy base in northwest China as an example, the power distribution of multi-energy power system is optimized through production simulation. Through simulation, it is verified that the method proposed in this paper can improve the efficiency of renewable energy power generation to a certain extent, and has a certain significance for promoting the transformation of energy production and consumption.
Numerical Simulation of Oil-Water Two-phase Conductivity in Hydraulic Fracturing Considering Proppant Crushing
Authors: Chen Shitong , Wang Jinlei , Yang Yongfei 
Published: May 2023

Abstract
Hydraulic fracturing can effectively increase reservoir productivity, and the effect depends on proppant behavior. Crushing of proppant during fracturing induces a series of changes in fracture width and the pore space formed between proppant particles, affecting reservoir fluid flow. For exploring the flow law of oil and water in proppant fractures, the discrete element method (DEM) and Tavares crushing model were combined to simulate the proppant crush process. At the same time, based on the formed pore space, the flow law of two phase fluid under the influence of such factors as the number of proppant placement, combination of particle size, closing pressure, and particle wettability was studied by fluid volume method(VOF). A series of data obtained through simulation show that with the increase of the average particle radius of single-layer and multilayer proppant is, the fracture conductivity and fracture width increase at the same closure pressure,. In the pore space formed by surface water-wet proppant, the ability of pore to transport oil phase increases; the higher of the number of closure pressure is, the larger the ability of pore to transport oil phase is.
Capacity Credit Variations of Photovoltaic Power Generation During its Life Cycle
Authors: Xu Zhicheng , Liu Huihong , Lu Gang 
Published: May 2023

Abstract
At present, the evaluation results of capacity credit of photovoltaic (PV) power generation are mainly static fixed values that are independent of time. Considering the degradation of the performance of the PV module, the capacity credit should be a time-varying value rather than a static value during the life cycle of the PV power plant. In this paper, the annual performance degradation model of a PV power station is established, and the time-varying capacity credit in the life cycle of the PV plant is simulated by calculating the year-by-year capacity credit. By adding a 100MW PV system to the IEEE-RTS 79 system for a case study, the results are as follows: the PV capacity credit is 46.04% without considering module performance decay, 45.36% in the first year when degradation is considered, and only 31.96% at the end of the life cycle. The average capacity credit over the life cycle is about 38.38%. It shows that the capacity credit varies greatly during the life cycle of PV modules, and cannot be ignored in the evaluation of capacity credit.
Study on flow loss mechanism in a supercritical fluid radial inflow turbine nozzle
Authors: Duan Siyu , Wang Zhongwei , Niu Yaobin , Miao Heyang 
Published: May 2023

Abstract
This paper uses ANSYS-CFX to simulate a 100kW supercritical CO2 radial inflow turbine. The internal vortex structure of the nozzle is identified based on Q-criterion and helicity. The internal flow loss of the nozzle is quantified based on Kock-Herwig’s theory of entropy production. Finally, the mechanism of internal loss formation in the nozzle is analyzed by combining the distribution law of entropy production. The analysis of the internal flow loss of the nozzle shows that the flow loss inside the supercritical CO2 radial inflow turbine nozzle is mainly caused by turbulent dissipation, and the turbulent pulsation induced by viscous shear stress plays a dominant role in this process.
Low Carbon Operation Strategy for Microgrids with Distributed Compressed Air Energy Storage
Authors: Yin Jun , Du Xili , Di Yanqiang , Chen Xiaotao , Chen Laijun 
Published: May 2023

Abstract
To improve the operation economy of the microgrid in a complex environment, a low-carbon operation strategy of microgrid with distributed compressed air energy storage is proposed. Firstly, considering the complex environment of regional microgrids, the coupling structure of distributed compressed air energy storage systems and microgrids is proposed. The new energy output and compressed air energy storage system model are established. On this basis, considering the consumption of new energy, a low-carbon operation strategy of the microgrid is constructed to improve the consumption level of new energy in the microgrid. Finally, the feasibility and competitiveness of the proposed low-carbon operation scheme are verified by simulation. The results show that the operation strategy of a low-carbon microgrid with distributed compressed air energy storage can reduce the operation cost by 57.3 %, and the new energy consumption rate can reach 97.2 %. The research results provide a theoretical basis and decision-making reference for applying distributed compressed air energy storage systems in complex environments.
A review of key issues in planning AC/DC distribution systems for renewable energy
Authors: Wang Wei , Wang Yanbo , Wang Dawei , Zou Yajun , Chen Xinhe 
Published: May 2023

Abstract
New requirements have been put forward for the construction of an AC/DC power distribution system under the targets of carbon peaking and carbon neutrality. It is urgent to build a new AC/DC power distribution system featuring low carbonization to realize the coordinated, green development of a high proportion of renewable energy. The low carbonization of the power industry is the key to coping with global warming and realizing the sustainable development of China’s society and economy. The reasonable and effective system planning and operation method will be the powerful means to ensure the AC/DC distribution system attain efficient carbon emission reduction under the premise of safe and stable operation. This paper combines the connotation and characteristics of renewable energy interconnection and mutual benefit, analyses the key technology features of AC/DC distribution systems for renewable energy, establishes a complete overall research framework of key technology for planning and operation of AC/DC distribution systems for renewable energy from two aspects of system planning and system operation, and gives an overview and outlook on each key research direction.
Simulation Study on the Effect of Different Fin Spacing on Heat Transfer in Microcolumn Radiator
Authors: Qu Qifeng , Zhu Hongwei , Sun Huan , Xu Haorong 
Published: May 2023

Abstract
In this paper, the heat transfer of microcolumn radiators with different spacing and arrangement was studied. Under the condition of constant heat flux qw
, linear arrangement (LA) and cross arrangement (CA) were used to simulate the heat transfer of 10 fin spacing under different mass flow rates. The results show that Nusselt Nu and fin heat transfer coefficient hfin
reduce with the increase of the transverse spacing and reduce with the increase of the vertical spacing. The Nusselt Nu and fin heat transfer coefficient hfin
with the reduction of the fin spacing, and the changing trend does not change with the change of heat flux qw.
A Transformer Condition Identification Model under Crossing Measuring Points Sampling
Authors: Gan Tuanjie , Huang Lianghao , Zhang Haomin 
Published: May 2023

Abstract
Due to the difference in sampling data distribution among different measuring points, the common transformer condition identification method of vibration analysis combined with machine learning has decreased accuracy. This work proposes a non-deep transformer condition identification model based on domain adaptation to solve it. Firstly, multi-scale feature extraction of vibration data is fulfilled by variational mode decomposition and time-frequency analysis. Then, manifold embedding method is employed to adapt source and target domains, which are sampled from different measuring points of transformer. The experimental results manifest that the presented approach could improve the accuracy of the transformer condition identification to a certain extent.
Research on Power Outage Sensing Technology of Medium and Low Voltage Distribution Network Based on Deep Learning of Multi-source Data Fusion
Authors: Luo Cheng , Qi Zhenbiao , Zhou Yuanke , Wu Kai , Feng Yu , Bian Hairui , Wang Bin 
Published: May 2023

Abstract
Aiming at the application of multi-source data fusion in intelligent operations of medium and low voltage distribution network system, a deep learning algorithm based on multi-source data fusion is proposed in this paper. Firstly, combining the stop/restart signals of a large number of users’ digital devices with the existing measurement information of the grid, two indicators of heartbeat and handshake signals have been constructed. Secondly, the convolutional neural network is combined with the improved D-S evidence theory, and an improved depth learning algorithm is proposed. Finally, taking a community as an example, the proposed algorithm is applied in practice and analyzed by simulation. The test results show that the model has good convergence and robustness. It is more intuitive and comprehensive in power failure evaluation. It has a wide power failure perception range and high accuracy and improves the quality of power supply service.
Implementation of Automatic DSP Code Generation Based on Closed-loop Algorithm for Three-level Inverters
Authors: Zhang Yu , Zhang Yong , Zhang Yongming 
Published: May 2023

Abstract
Wind energy has the advantages of wide distribution, renewable, and non-polluting, so it is receiving more and more attention from more and more countries. As more and more wind power systems are integrated into the grid, it has an impact on the stability of the grid. To keep the power system stable, there is an urgent need for a grid simulator that can simulate various behaviors of the grid and test the reliability of the wind turbine before grid integration. Inverters, especially multilevel inverters, as the core part of the grid simulator, have been widely studied by scholars in recent years. However, compared to conventional inverters, multilevel inverters are characterized by high code development effort, great difficulty, and a long development period. In this paper, we adopt an automatic DSP code generation method with MATLAB hardware support package and give a complete system design method and development flow based on MATLAB and TMSF28335 automatic code generation. Finally, we take the closed-loop three-level MMC inverter as an example, propose an equalization algorithm suitable for automatic code generation for the capacitor-voltage balancing part, and verify the feasibility of the DSP automatic code generation in a multilevel inverter development. The feasibility of DSP automatic code generation in the development of a multilevel inverter is verified. The experimental results show that the proposed equalization algorithm with variable reference coefficient and DSP automatic code generation method can be used in the development of a multilevel inverter, which can improve development efficiency and reduce development costs.
Influence of vehicular emissions and meteorological factors towards anionic surfactants in the urban atmospheric aerosol of Kuala Lumpur, Malaysia
Authors: Nor M A M , Wahid N B A , Ramli S , Hamid N Z A , Mohamad N , Latif M T 
Published: May 2023

Abstract
This study aimed to determine the influence of vehicular emissions and meteorological factors on the level of surfactants in urban atmospheric aerosol from Kuala Lumpur city center, Malaysia. Aerosol samples were collected using a high-volume sampler equipped with the cascade impactor to separate fine mode (< 1.5 µm) and coarse mode (> 1.5 µm) particles. Besides, the exhaust particulate matter from various diesel and petrol vehicles was collected using a soft brush during dry weather. Colorimetric analysis was performed to determine the concentration of anionic surfactants as methylene blue active substances (MBAS), and the absorption was determined by using a UV spectrophotometer at a wavelength of 650 nm. Correlation analysis was conducted to determine the influence of vehicular emissions (NOx, SO2, CO and O3), and exhaust particulate matter on the level of surfactants. Results showed that surfactants as MBAS in fine particles showed the dominant values. Correlation analysis showed that the MBAS was positively correlated with NOx (p <0.05) and SO2 (p <0.01), and negatively correlated with O3 (p <0.01), which indicated that the traffic-related air pollutant may influence the anionic surfactants level. It is supported by the high level of MBAS in diesel exhaust particulate matter, particularly from the construction machinery, followed by lorries and buses.
Investigation of open cluster NGC 7789 using GAIA EDR3 data
Authors: Tucio P B , Guido R M D , Kalaw J B 
Published: May 2023

Abstract
We present the membership determination of the NGC 7789 open cluster located at Cassiopeia. Based on the astrometric data from Gaia Early Data Release 3 (positions, parallaxes, and proper motions) are considered to derive cluster members of the open cluster. The Hierarchical Density-Based Spatial Clustering of Applications with Noise and Gaussian Mixture Model techniques in determining the frequency and degree of a star’s membership in a cluster were being utilized in the study. We calculate the parallax and distance of the NGC 7789 cluster center to be 0.1994 ± 0.11 mas and 18637 ± 333110 pc respectively. The cluster center is calculated to be α = 359° 16' 56.44'', δ = 56° 42''38.46 ' and proper motion to be µα = −1.386 ± 0.68 mas/yr and µδ = −1.052 ± 0.37 mas/yr. We also utilized the Automated Stellar Cluster Analysis tool and obtained: log(age) = ~9.20, distance modulus (m-M)v =0.6516, reddening E(B V)=0.26±0.28, and metallicity [Fe/H] = −0.26, respectively. The stars in NGC 7789 show very little movement on proper motion and might be caused by fainter observations.
Spatial temporal pattern of carbon dioxide emission from vehicle
Authors: Yaacob N F F , Mat Yazid M R , Abdul Maulud K N , Abdul Basri N E 
Published: May 2023

Abstract
Carbon dioxide (CO2) emission is a global environmental issue, and it is considered as triggered climate change. One of source contribute to CO2 emission is transportation sector which are increasing at a much faster rate than Gross Domestic Product growth. This paper present to evaluate spatial temporal pattern of CO2 emissions from vehicle using satellite Sentinel 5P image. The Sentinel 5P image was obtained from European Space Agency from year 2019 until 2021. These data were processed through ArcGIS software 10.5 to extract value of CO2 and the value are presented in total column amount. Subsequently, extract by point method on road feature based on basemap of Mukim Kajang was carried out to obtained value of CO2 emission from transportation. Then, spatial temporal mapping was achieved through kernel density analysis, which can be used to identify the CO2 emission hotspot areas. The result show spatial temporal pattern of CO2 emission was higher in September 2019 (0.06964 mol/m2), March 2020 (0.03596 mol/m2) and December 2021 (0.0437 mol/m2) respectively. Among the three highest vehicle-related CO2 emission hotspots in Mukim Kajang, high-emission literally covered the entire Bandar Kajang, whereas Bandar Baru Bangi and Bandar Serdang had decrease emission for the three (3) consecutive years. In the nutshell, the output of this study should be able to aid the local authority such as Federal Ministry of Environment in decision-making wise especially in developing related strategies to reduce CO2 emissions.
Identifying cluster members of NGC 869 and NGC 884 using a combined machine learning method
Authors: Guido R M D , Tucio P B , Kalaw J B. , Geraldo L E 
Published: May 2023

Abstract
This work describes a method for calculating cluster membership probability from big, high dimensional newly released GAIA-EDR3 observations that combine the Gaussian Mixture Model (GMM) with the Random Forest (RF). This technique has the considerable advantage of rapidly identifying possible cluster members in big data sets using modest training samples. The result indicates that the double clusters NGC 869 has 20270 points ultra-high (p≥ 0.8) probable members, 9294 are high (p≥ 0.6) probable members, and 6181 stars are moderate (0.2 <= p < 0.6) members. NGC 884 has ultra-high (p≥ 0.8) probable members of 21317, high (p≥ 0.6) probable members with 10871 and moderate (0.2 <= p < 0.6) of 5998. Cluster centers of NGC 884 and NGC 869 were also determined to be at α = 2h 22m 17s, δ = 57h 8m 60s and α = 2h 19m 2s, δ = 57h 7m 48s respectively. The double cluster also has a mean proper motion of -0.690 ± 12 mas/yr, or -1.150 ± 16 mas/yr, and a mean parallax of 0.410 ± 04 mas. The old cluster member in NGC 884 was quantified to be ± 621, and the new cluster member to be ± 1129. The new members of NGC 869 are ± 1511, up from the previous 920 members. We also found that the combined GMM and RF are effective in identifying cluster membership using the GAIA-EDR3 observations.
The comparison of relationship between climate variables and rice productivity in the clustering area on Java Island, Indonesia
Authors: Aprilina K , Sopaheluwakan A , Susandi A , Hadi T W , Trilaksono N J , Lubis A , Dayantolis W , Permana D S , Nuryanto D E , Anggraeni R , Komalasari K E , Fajariana Y , Yuliyanti M S , Haryoko U , Hidayanto N , Linarka U A 
Published: May 2023

AbstractThis study aims to compare the relationship between climate variables and rice productivity under different irrigation systems (irrigated and rainfed) in the clustering area on Java Island, Indonesia. This study used the clustering areas resulting from the previous study. The climate variables used are bias-corrected MERRA2 data from the period 1987–2017, cropped for Java Island. The rice productivity and reference evapotranspiration data used in this study are the results of the simulation of Aquacrop modeling. The result from the cluster method used tends to divide Java Island into 2 clusters with different altitudes (lowland and highland) areas. The results show that the correlation values between the precipitation variable and rice productivity from Aquacrop simulation (both irrigated or rainfed) in cluster 1 (dominated lowlands) are higher than in cluster 2 (dominated highlands), contrary to that the correlation values between the reference evapotranspiration variable with rice productivity from Aquacrop simulation (both irrigated or rainfed) are higher in cluster 2 (dominated highlands) areas, compared to cluster 1 areas (dominated lowlands). R-square values from response surface methodology (RSM) on the rainfed system in both clusters are higher than those on the irrigated system. This indicates that rainfed agriculture is highly dependent on climate variables, especially precipitation and reference evapotranspiration variables compared with the regular irrigated agricultural system. The RSM result also shows that climate variables significantly contribute to the variation of rice productivity generated by Aquacrop modeling in irrigated and rainfed systems and in all clusters.