bluuebunny/crossref_metadata_2025_split huggingface dataset:
A generation expansion planning method considering conditional value-at-risk
Authors: Li Bicheng , Zhou Renjun , He Qianshuai , Li Hongchang 
Published: June 2024

Abstract
The uncertainty of load forecasting can lead to certain risks in generation expansion planning. Different from the traditional large-capacity unit planning in the past, renewable energy has the characteristics of small single-machine capacity and fast construction speed, etc. The uncertainty of load forecasting will have a more significant impact on the results of generation expansion planning including renewable energy. For this reason, this paper proposes a generation expansion planning idea considering load forecast uncertainty based on conditional value-at-risk (CVaR). Firstly, scenario technology is used to simulate the uncertainty, and CVaR is introduced to quantify the risk of generation expansion planning. Then, considering the coordinated development of traditional and renewable energy sources, a generation expansion planning model that considers risk is established to minimize the total costs. Finally, the effectiveness of the model was verified through a case study, and this model has reference significance for balancing the economy and reliability in generation expansion planning.
Comprehensive performance analysis of CST-PV system based on spectral beam splitting film
Authors: Wang Linhao , Zhang Xin , Lei Dongqiang , Lv Yue , Guo Ruishen , Wang Zhifeng 
Published: June 2024

Abstract
In this paper, a novel linear Fresnel concentrator (LFC) with a rotating platform was constructed, and a novel concentrated solar thermal and photovoltaic (CST-PV) hybrid system utilizing spectral beam splitting was established on the LFC. A spectral beam-splitting film (SBSF) was coated on the PV cell’s inner glass wall, replacing the LFC’s primary reflector. The SBSF can transmit the solar spectrum of 300-1100 nm to the photovoltaic (PV) cells and reflect the remaining solar wavelengths to the absorber to generate heat. The LFC’s cosine efficiency and end efficiency after azimuthal compensation by a rotating platform were calculated through theoretical analysis. The effects of temperature on the efficiency of PV and linear Fresnel solar systems were studied through experimental and numerical simulations. The comprehensive utilization efficiency evaluation method was established. The results show that the LFC’s end efficiency and cosine efficiency in this paper, after azimuthal compensation, increased by 31.7% and 33.7%, respectively, compared with the east-west and north-south axis placement. The comprehensive utilization efficiency of the CST-PV system based on SBS is 61.58%, which increased by 13.47% compared to that of the single fixed PV system.
A modeling method for the control circuit of a double-fed induction generator in a wind power system based on multimodel fusion
Authors: Zhang Wei , Li Qiangliu 
Published: June 2024

Abstract
The current modeling techniques of a Double-fed induction generator (DFIG) for wind power systems have shortcomings in the idealization of equipment internal parameters and unitization of system coupling. In this paper, a multi-model fusion method of doubly-fed induction wind turbine modeling for wind power systems is proposed. Firstly, the 1.5 MW DFIG body is constructed according to the parameters of the physical prototype. Then, to realize the system’s control of DFIG, the DIFG external circuit and control circuit of the wind power system are built to realize multi-system coupling simulation modeling. Through simulation analysis, the effectiveness of the multi-model coupling simulation system and the availability of the method are proved.
A double axis synchronous control method for plunger pump based on fuzzy control
Authors: Wei Xingya , Qi Jialin , Zeng Ting , Yin Shen , Liu Jianze 
Published: June 2024

Abstract
A fuzzy control method is proposed to address the problem of asynchronous motor position caused by uncertain factors, such as changes in motor load parameters and external disturbances in piston pumps driven by servo motors. We simulate three typical inputs and random load disturbances of dual-axis motor position synchronization using SIMULINK and apply this control strategy to high-precision piston pumps. The simulation and experimental results show that using the fuzzy control method can make the synchronous position tracking accuracy of the dual-axis motor better than 0.2%, and the synchronization error converges to zero after load disturbance. This method has certain anti-interference abilities.
Optimization of PV module ash accumulation prediction based on an improved vulture algorithm
Authors: Liu Shuaijun , Dong Xiyuan , Guo Heng , Wang Xinran 
Published: June 2024

Abstract
In this research, an ash accumulation prediction model based on the Improved Bald Eagle Algorithm (IBES) optimization is proposed, and a least-squares support vector machine (LSSVM) is used to investigate the correlation between climatic parameters and the quantity of ash deposition on PV panel surfaces. Ash deposit affects PV panel output power over time and is influenced by meteorological factors. Following a thorough selection procedure, meteorological variables like wind speed and rainfall are used in the model to forecast the amount of ash that will accumulate on the slab. The original condor method was prone to local optimum convergence and had a slow convergence rate. These weaknesses are addressed by the optimal selection of the next iteration, which introduces the Cauchy variation operator to mutate the population’s optimal individuals. The optimization parameters of the revised algorithm are incorporated into the model and results are compared to models of other optimization algorithms. The outcomes demonstrate that the IBES-LSSVM ash accumulation prediction model has a higher degree of fit and a reduced prediction error.
Development of aggressive driving conditions for light-duty fuel cell vehicles in Beijing
Authors: Zheng Hong , Liu Yu , Ma Kunqi , Yu Hanzhengnan , Guo Ting 
Published: June 2024

Abstract
As the main technology route of new energy vehicles, the reliability and durability of fuel cell vehicles have gradually become the focus of researchers. Based on the actual road driving data of fuel cell light-duty vehicles in Beijing, this paper screened out the aggressive driving segments of different speed intervals through the RPA95% quantile curve and constructed a library of aggressive driving conditions of fuel cell vehicles, based on this library, we developed the aggressive driving conditions of fuel cell vehicles that meet the actual driving scenarios of users. The driving conditions have a deviation of no more than 8% from the corresponding library in the three key indexes of average speed, average acceleration, and average deceleration. In addition, this paper also compared the differences between the constructed aggressive driving condition and the CLTC-P condition, which verifies the necessity of the aggressive driving condition in the durability test of fuel cell vehicles. So, this condition can be used as the basic condition for the subsequent durability test of fuel cell vehicles. It will help enterprises shorten the test cycle and reduce the test cost. It can also support the formulation of the durability test specification for the subsequent fuel cell vehicles. At the same time, it can also support the formulation of subsequent durability test specifications for fuel cell vehicles.
A deformation quantization for non-flat spacetimes and applications to QFT
Authors: Much Albert 
Published: June 2024

Abstract
We provide a deformation quantization, in the sense of Rieffel, for all globally hyperbolic spacetimes with a Poisson structure. The Poisson structures have to satisfy Fedosov type requirements in order for the deformed product to be associative. We apply the novel deformation to quantum field theories and their respective states and we prove that the deformed state (i.e. a state in non-commutative spacetime) has a singularity structure resembling Minkowski, i.e. is Hadamard, if the undeformed state is Hadamard. This proves that the Hadamard condition, and hence the quantum field theoretical implementation of the equivalence principle is a general concept that holds in spacetimes with quantum features (i.e. a non-commutative spacetime).
Biodiesel Production from Waste Cooking Oil Using Ethanol Produced from Sugar or Dates Syrup
Authors: Shannan Al-Khalasi Said , Saif Al-Ghafri Abdullah , Nasser Al-Saqri Suad , Hamed Al-Habsi Jumana 
Published: June 2024

Abstract
Global oil prices have risen due to rising energy usage and petroleum depletion. Waste cooking oil is a potential source of biodiesel raw materials. Biodiesel is a source of renewable energy and a fuel that could replace petroleum-derived diesel in the future. The novelty of this study was to investigate the production of biodiesel from waste cooking oil using ethanol produced from dates syrup. In this study biodiesel was made from used cooking oil and various alcohols by the transesterification method with different catalysts for comparison. To produce biodiesel from used the transesterification process was carried out by mixing 3 g of the catalyst with 60 ml of alcohol (70%) and adding 300ml of waste cooking oil at a temperature of 60°C. The best result, that had the highest biodiesel yield, which was 302.5 ml, was the biodiesel made from using commercial ethanol as alcohol and KOH as a catalyst. This study indicated that there was no significant difference in the yields of biodiesel and the by-product glycerin between groups, but the density and viscosity of petroleum diesel were much lower than the biodiesel produced from waste cooking oil, meaning that the biodiesel could have more applications than petroleum diesel. It was concluded that the biodiesel produced from waste cooking oil and dates syrup ethanol could be used as an alternative fuel and source of renewable environmentally friendly energy. However, it is considered that more studies are needed to determine the effects of using biodiesel produced on engine performance.
State-of-Art Review of Renewable Energy-Based Systems for Electrical Machine Applications: Prospects and Challenges
Authors: Shuaibu Isiaka , Ho Tatt Wei Eric , Kannan Ramani , Aderinola Musefiu , Bolaji Adedayo Habeeb , Alhaji Samaila Yau , Mohammed Salisu Hassan , Usman Adebanjo Abiola 
Published: June 2024

Abstract
Renewable energy sources (RES) are a game-changer since they produce no greenhouse gases (GHG). There is an increasing amount of interest in it across the world. The intermittent nature of RES makes it difficult to incorporate them into the existing power grid infrastructure and for use in electrical machines for industrial and domestic applications. As the number of RES grows along with different machine variants, innovative methods of interconnecting them are being explored. This study gives a thorough analysis of net zero RES (wind, solar and hydro) for electric machine applications considering their efficiency, feasibility, and reliability coupled with the trend of connection topologies. The Paradigm shift in material technology for RES application is also examined from the 1950s till the present paving the way for innovative design of novel electrical machines with optimal output performances and cost minimization. Modelling and optimization approaches were captured with the benefits and drawbacks highlighted. For electric machines to function at peak efficiency over time, energy harvesting from these sources becomes significant and must be controlled and maintained risk-free. In addition, the challenges, and prospects, associated with the operation of an Electric Machine technology in a clean environment have all been highlighted.
Optimization Study of Adsorption parameter for the removal of Zinc (Zn) and Arsenic (As) on Activated Coconut Shell (ACS) Adsorbent using Response Surface Methodology
Authors: Priyadharshini B , Abraham Marykutty , Nirmala R , Agalya S 
Published: June 2024

Abstract
A large portion of the water environment is being contaminated and destroyed due to the direct liberation of industrial effluents, agricultural and municipal activities that are toxic to humans, animals, and plants. Among the several pollutants, heavy metals are considered to be a serious hazard and the presence arsenic in water will cause carcinogenic to humans. In this study, for sustainability easily available eco-friendly materials were used for the adsorption of heavy metal. An aqueous solution of zinc and arsenic metal was prepared and adsorption of heavy metal was performed by varying pH, initial concentration, time, and dosage. The metal productivity was optimized using Response Surface Methodology (RSM) with central composite design (CCD) by varying the obtained data. The model prediction result is in agreement with experimented result (R2=0.9706, 0.9799 adj R2=0.9432,0.9572 for and coconut shell carbon). ANOVA table shows that the adsorption of arsenic and zinc metal to carbon made from coconut shell. The optimization of carbon made from coconut shell pH, initial concentration, time, and dosage found to be the maximum adsorption capacity of both adsorbent pH (7,7), initial concentration (40,30), contact time (60,90), adsorbent dosage (0.3,0.3) was obtained. Characterization of activated coconut shell carbon was carried out by SEM.
Study of the Implementation of Planned Maintenance System in Engine Department on KM Bukit Siguntang Ship
Authors: Hasiah  , Hasrul H M , Afada T A 
Published: June 2024

Abstract
The purpose of this research is to find out whether the implementation of PMS (Planned Maintanance System) in KM. Bukit Siguntang can run precisely and carefully. This research type uses descriptive quantitative method. This research was conducted at KM. Bukit Siguntang. At that time the writer was carrying out sea practice (Prala), on November 09, 2021 until after June 18, 2022. Sources of data are obtained from primary data obtained directly from the research site by observation at KM Bukit Siguntang, as well as related literature after the thesis. The results obtained from the research are that the understanding of PMS (Planned Maintenance System) is lacking and the application is still using manual methods. With these problems, it is necessary to make notes around the machine and the use of an online-based PMS (Planned Maintenance System).
A relationship between urban green space and PM2.5 levels in urban and suburban areas of Bangkok
Authors: Ta Anh Tuan , Promchan Nantikan 
Published: June 2024

Abstract
Bangkok, Thailand's densely populated capital, faces critical air pollution due to overpopulation, traffic, industry, and biomass burning. Of particular concern is the escalating PM2.5 pollution, which poses significant risks to both public health and the environment. This research investigates the relationship between Bangkok's urban green spaces (UGS) and PM2.5 levels by comparing the concentrations of PM2.5 in non-green areas (on roads) and green areas (city parks) in both urban (Ratchathewi) and suburban (Lat Krabang) locations. The methodology in this study involves data collection from secondary sources and statistical analysis using ANOVA, T-tests, and the Mann-Kendall test with Sen's slope. The findings indicate a consistent expansion of UGS within the study areas, while levels of air pollution exhibit discernible seasonal fluctuations. Notably, concentrations of PM2.5 near roads were significantly higher than those of nearby parks, with 43% and 38% higher levels at Ratchathewi and Lat Krabang, respectively. Several factors contribute to this discrepancy, encompassing the proximity to pollution sources, the processes of dispersion and dilution, the presence of vegetation and green spaces, and the role of physical barriers. Based on the research findings, recommendations propose to improve air quality through UGS initiatives and collaboration with relevant stakeholders.
Tribological and mechanical properties of FSW joints of untainted stainless steel and titanium: novel characterization of similar and dissimilar joints
Authors: K Sai Sujith , Ravi S , B Vinod 
Published: June 2024

Abstract
Friction Stir Welding (FSW) is an emerging solid-state welding process that joins dissimilar or similar metals based on requirements. The additional material to make the joint is also a weight reduction factor deemed vital in weight-sensitive industries like aerospace and orthopedic applications. The similar and dissimilar Ti-6Al-3Nb-2Zr-1Mo (Ti6321) and stainless steel (SS 310) joints are performed through friction stir welding. This investigation aims to identify the effect of process parameters on the mechanical behavior and microstructural characteristics of the FSW joints. Five plates are chosen; three are FSW joints, and two are kept in the original base material. In all five plates, tensile, microhardness, and wear tests are performed, including an analysis of grain size. It is observed that the similar Ti6321 joint with a 6 mm pin diameter, 60 mm transverse speed, 900 mm rotational speed, and a constant axial force of 1 KN exhibits a maximum microhardness of 362 HV and a tensile strength of 927 MPa when compared to other joints. The tribological properties are identified as varying load (10–50 N), sliding speed (1–5 m s−1), and a constant sliding distance (1000 m) on pin-on-disc apparatus. It reveals that welding parameters and tool diameter influence tribological characteristics. The surface morphology carried out by FE-SEM revealed that the HAZ is composed of acicular α. The increase in microhardness is higher in WC than in BM due to the uniform distribution of particles. The chemical composition and phases are analyzed using XRD.
Quanto: optimizing quantum circuits with automatic generation of circuit identities
Authors: Pointing Jessica , Padon Oded , Jia Zhihao , Ma Henry , Hirth Auguste , Palsberg Jens , Aiken Alex 
Published: June 2024

Abstract
Existing quantum compilers focus on mapping a logical quantum circuit to a quantum device and its native quantum gates. Only simple circuit identities are used to optimize the quantum circuit during the compilation process. This approach misses more complex circuit identities, which could be used to optimize the quantum circuit further. We propose Quanto, the first quantum optimizer that automatically generates circuit identities. Quanto takes as input a gate set and generates provably correct circuit identities for the gate set. Quanto’s automatic generation of circuit identities includes single-qubit and two-qubit gates, which leads to a new database of circuit identities, some of which are novel to the best of our knowledge. In addition to the generation of new circuit identities, Quanto’s optimizer applies such circuit identities to quantum circuits and finds optimized quantum circuits that have not been discovered by other quantum compilers, including IBM Qiskit and Cambridge Quantum Computing Tket. Quanto’s database of circuit identities could be applied to improve existing quantum compilers and Quanto can be used to generate identity databases for new gate sets.
Anomalous to normal dispersion nonlinear optical dephasing switch in electromagnetically induced transparency using a Kerr effect
Authors: J Ayyappan , T Beena 
Published: June 2024

Abstract
The atomic decoherence effect (DE) on a Kerr nonlinear (KNL) electromagnetically induced transparency (EIT)is studied in a Δ system. The DE between the ground state hyperfine levels is caused by the dephasing rate γ

d
which dramatically modifies the medium response. It controls the normal dispersive region which shows steep positive slopes for linear response at the line center while the nonlinear response experiences steep negative slopes for low γ

d
. The microwave field strength and γ

d
modify the nonlinear response from the anomalous dispersion to normal dispersion. The calculations show that room-temperature atoms are used to quantify the quantum interference (QI) on linear and nonlinear absorption with γ

d
. The EIT spectrum explores the understanding of the subluminal and superluminal wave propagation of probe signal and this study opens a new pathway for the understanding of the QI devices and their nonlinearities based on EIT.
Ultrafast charge carrier dynamics of methylammonium lead iodide from first principles
Authors: Cabrera Ariel M , Guerrini Michele , Pinto Henry P , Cocchi Caterina 
Published: June 2024

Abstract
Methylammonium lead iodide (MAPbI3) has been a major focus of photovoltaic research for the last decade. The unique interplay between the structural and electronic properties of this material contributes to its exciting optical properties especially under the action of an ultrafast laser pulse. First-principles methods like real-time time-dependent density functional theory (RT-TDDFT) enable performing corresponding simulations without the aid of empirical parameters: the gained knowledge can be applied to future studies of other complex materials. In this work, we investigate the ultrafast charge-carrier dynamics and the nonlinear optical response of MAPbI3 excited by a resonant pulse above the gap. First, we examine the electronic and optical properties in the static regime. Next, we impinge the system with a femtosecond field of varying intensity and follow the evolution of the photoexcited carrier density. A pronounced intensity-dependent response is observed, manifested by high-harmonic generation and nonlinear trends in the number of excited electrons and excitation energy. Our results provide relevant indications about the behavior of MAPbI3 under strong and coherent radiation and confirm that RT-TDDFT is a viable tool to simulate the photo-induced dynamics of complex materials from first principles.
Centrifugally spun hydroxyapatite/carbon composite nanofiber scaffolds for bone tissue engineering
Authors: Akgul Yasin , Stojanovska Elena , Calisir Mehmet Durmus , Polat Yusuf , Kilic Ali 
Published: June 2024

Abstract
In recent years, advancements in tissue engineering have demonstrated the potential to expedite bone matrix formation, leading to shorter recovery times and decreased clinical challenges compared to conventional methods. Therefore, this study aims to develop composite carbon nanofibers (CNFs) integrated with nano-hydroxyapatite (nHA) particles as scaffolds for bone tissue engineering applications. A key strategy in achieving this objective involves harnessing nanofibrous structures, which offer a high surface area, coupled with nHA particles expected to accelerate bone regeneration and enhance biological activity. To realize this, polyacrylonitrile (PAN)/nHA nanofibers were fabricated using the centrifugal spinning (C-Spin) technique and subsequently carbonized to yield CNF/nHA composite structures. Scanning Electron Microscopy (SEM) confirmed C-Spin as a suitable method for PAN and CNF nanofiber production, with nHA particles uniformly dispersed throughout the nanofibrous structure. Carbonization resulted in reduced fiber diameter due to thermal decomposition and shrinkage of PAN molecules during the process. Furthermore, the incorporation of nHA particles into PAN lowered the stabilization temperature (by 5 °C–20 °C). Tensile tests revealed that PAN samples experienced an approximately 80% increase in ultimate tensile strength and a 187% increase in modulus with a 5 wt.% nHA loading. However, following carbonization, CNF samples exhibited a 50% decrease in strength compared to PAN samples. Additionally, the addition of nHA into CNF improved the graphitic structure. The incorporation of nHA particles into the spinning solution represents a viable strategy for enhancing CNF bioactivity.