bluuebunny/crossref_metadata_2025_split huggingface dataset:
Costs and Benefits of Open Science: Contributing to the Development of a Rigorous Assessment Framework
Authors: Catalano Gelsomina , Delugas Erica , Vignetti Silvia 
Published: October 2024

AbstractThe concept of Open Science (OS) is transforming the landscape of scientific research by promoting collaboration, transparency, and innovation. Acknowledged by policymakers and international organisations, OS is integrated into policy agendas recognising its potential to shape the future of research. Despite significant progress, Open Science faces challenges in showing economic impacts, which undermines its maximal adoption. Empirical evidence on positive economic outcomes, such as cost savings and the emergence of new products and collaborations, exist, but there is a scarcity of comprehensive economic impact studies comparing open and closed science. This article advocates for the use of Cost–Benefit Analysis (CBA) as an analytical tool to systematically assess the advantages and disadvantages of OS. CBA, traditionally applied to sectors like transport and health, can provide a structured framework for mapping and evaluating the costs and benefits of OS, contributing to a more informed understanding of its societal desirability.
Research on Real-Time Intelligent Control Technology for Runoff Cascade Hydropower Station Group
Authors: Lijuan Bian , Zhang Yi , Shuming Li 
Published: October 2024

AbstractAn in-depth research was conducted on the real-time scheduling issues involved in the joint operation of runoff cascade hydropower station under high-intensity peak-load regulation and frequency regulation requirements, and proposed an intelligent control method for real-time load regulation of runoff cascade hydropower stations. Based on the characteristics of real-time power generation scheduling of cascade hydropower stations, ensuring the effectiveness and flexibility of scheduling strategies, taking into account the constraints of reservoir operation, grid safety, unit operation, and the impact of different water heads on unit power generation efficiency, aiming to achieve stable water level control of runoff type hydropower stations and rapid response of cascade total load control. Real time load Control is divided into two categories: dispatching mode and non dispatching mode. In the dispatching mode, constructed water power determination, stable water level, less load regulation, load balance economic dispatching models, to predict in advance whether the day ahead load planning curve needs to be adjusted and automatically track the planning curve. In non dispatch mode, automatically match the abnormal water level control model based on PID regulation and the stable water level model that meets the requirements of efficient power generation. At the same time, proposed a water level control solution method based on successive approximation and multi-objective dynamic programming, as well as a mixed integer programming model for reducing the difficulty of solving real-time hydropower scheduling for load allocation. The application of the proposed model in the cascade hydropower stations in the Shaxi River Basin shows that it can achieve high-precision automatic load adjustment, effectively reduce the number of regulation times by 6%, and only retain one dispatcher per shift, greatly reducing the work intensity of operators on duty. This research effectively improves the centralized control capability and economic operation level of the watershed, and has rich theoretical and practical significance for promoting the intelligent and intelligent construction of real-time load scheduling for cascade power stations.
Seismic Safety Evaluation of a High Arch Dam-Foundation Coupling System
Authors: Yan Chunli , Tu Jin , Liang Hui , Guo Shengshan , Li Deyu 
Published: October 2024

AbstractThe seismic safety evaluation of the dam is performed based on either dam strength failure or dam abutment instability failure according to the traditional deterministic methods and concepts in the current code. However, these two failure modes are interactive and inseparable, considering only one failure mode under a strong earthquake fails to fully reflect the actual seismic performance of high arch dams. To develop a more realistic seismic safety evaluation framework for high arch dams, this paper constructs a finite element analysis model that considers the coupling of dam strength failure and dam abutment instability failure. The nonlinear dynamic response analysis of the high arch dam-foundation coupling system is conducted using the seismic overload analysis method. Different performance evaluation indexes, such as damage depth-thickness ratio, sliding area ratio, and the residual displacement of the dam crest relative to the dam bottom in the stream direction, are proposed. The performance evaluation criteria and ultimate seismic capacity are defined and quantitatively assessed. The results indicate that 2.0 times the horizontal PGA can be considered the ultimate seismic capacity of the high arch dam-foundation coupling system, providing a reliable scientific basis for seismic safety evaluation of high arch dams.
Research on the Sediment Flushing Scheme Under the Layout of “Reservoir Replacing Pool + Bypass Flushing” Based on 2D Flow and Sediment Model
Authors: Yang Shuangchao , Liu Jinyang , Liao Yu 
Published: October 2024

AbstractA two-dimensional flow and sediment model was used to study the sedimentation problem of a high head and high sand content hydroelectric power station in Nepal. Under the layout scheme of “reservoir replacing pool + bypass flushing”, a total of 12 sediment discharge operation schemes were proposed for the reservoir area under the combination of 3 flow limits and 4 sand discharge water levels. The results show that: After 5 years of operation of the project, there is a difference in the elevation of the sedimentation surface in front of the water intake. Different sand flushing operation methods have a significant impact on the elevation of the sedimentation surface in front of the water intake during the period of 7–17 years. Under various schemes, the trend of the elevation change of the sedimentation surface in front of the water intake after 17 years of operation of the head hub is basically consistent, and the difference is not significant. The elevation of the sedimentation surface in front of the water intake can be controlled at around 2505 m under each scheme; When operating at a sand discharge water level of 2520 m, the elevation of the sedimentation surface in front of the sand discharge tunnel can be controlled at around 2510 m, and the probability of sedimentation in the bypass sand discharge tunnel is not high; The project operates for about 10–15 years and is basically in a balanced state; Under the condition of 2520 m sediment discharge water level, the remaining effective storage capacity of the hub is larger after 20 years of operation under each scheme; This project follows the 2520 m sediment discharge water level scheme. When operating at a sediment discharge flow limit of 120 m3/s, the effective storage capacity of the reservoir meets the requirements of the designed daily regulating storage capacity. Therefore, it is recommended that this project operate according to the 2520 m sediment discharge water level scheme.
Corona Trials on Rotating Machinery with LuminarHd Ultraviolet Apparatus in Small Hydropower Plants - SHPs Technology and Innovation Company
Authors: Tavares Afonso Cesar , Santos Marcelino , Dellabeta Bruno 
Published: October 2024

AbstractWith the new technologies applied in the Power Electrical System, we enable the shared use of the Ultraviolet Measurement Apparatus, for Corona Measurement (the corona effect is just one type of partial discharge characterized by its visibility when propagating in external mediums due to electric field - potential) in Transmission Lines, into the Assets of Hydropower Plants with rotating machinery from Small Hydropower Plants - SHPs, within Predictive Maintenance. The gain from this Predictive Maintenance brought evaluation benefits in the reception after treatment of generators related to Partial Discharge on the surface, particularly the part related to surface corona effect on rotating machinery. Measurements before and after surface treatment recovery, mainly in coil heads and other parts of the generating unit, show us the results more through frequency spectrum, ranges, and events/minutes measures, associated with a scale already worked for measurement points in Transmission Lines assets, values understood above 5000 events/minutes and mainly the region with the highest concentration of records signaling points to improve or redo specific treatment. It's worth mentioning here that it doesn’t substitute tests by offline and online partial discharge devices in peak measures (pC) or nano Coulomb (nC), but it brings the focus spectral sampling region that deserves more attention or reinforcement in treatment to mitigate corona effect, also can be used to evaluate generator cleanliness when intensities are recorded in predictive maintenance. The SBUV camera, Solar Blind filter, has higher sensitivity, compatible wavelength, bi-spectral, and a range from 240 nm to 280 nm (nanometers), which can bring gains in this technological application. The tool, when customized, provides risk assessment for each generator in trials and ensures an operational view of the Asset from the perspective of its health in this regard - Health Index. The new technology is already implemented and has been successfully used in our plant, in its punctual maintenance plan regarding measuring, evaluating own or third-party services, and determining the best time to act in new surface treatments or asset cleaning, mitigating the risk of early burnout due to this phenomenon. Direct gains in application come from the integration of Asset Management with Reliability-Centered Maintenance, optimizing the Maintenance Plan and the concepts of Engineering Applied to the company's Assets.
Research on Identification of Deep Leakage Channels in Karst Pumped Storage Reservoirs Based on Multi Field Data Fusion
Authors: Kexun Zheng , Feifei Gan , Daiyao Zhao , Xiao Chen , Xianggang Liu , Ning Zhang 
Published: October 2024

AbstractThe most prominent engineering geological problem of pumped storage power station reservoirs in karst areas is karst leakage, the development of karst leakage channels has a significant impact on the selection of reservoir locations, layout of engineering buildings, design of anti-seepage measures, and engineering costs. Therefore, the survey and evaluation of reservoir leakage channels are the foundation for the construction of pumped storage power station reservoirs in karst areas. The field analysis method plays an important role in karst leakage survey. Traditional karst groundwater field analysis methods, based on the representative indicators of each field measured and determined by experience, fail to fully reflect the temporal and spatial change information of each field indicator, and the data cannot be fully utilized and compared for verification. The multi field data fusion analysis method for karst groundwater proposed in this article comprehensively considers the relationship between measured field indicators and leakage sources, natural conditions, adjacent spaces, and different time field indicators， and obtains the characteristic values of the tracer index, background index, gradient index, and time series index of each field, and overlay calculation of single field comprehensive eigenvalues and multi field composite eigenvalues, which can realize the fusion of multiple fields and multiple indicators, amplify the abnormal location signal of seepage, and delineate the location of centralized seepage, so as to quantitatively determine the location information of the seepage channel of karst groundwater. This method is applied to the survey of karst leakage in the lower reservoir of a pumped storage power station in Guizhou Province, field data fusion analysis shows that there is an abnormal seepage field in the anti-seepage curtain line of the site, and there is good evidence for the temperature and conductivity field data. There is a deep karst leakage channel in the reservoir; The burial depth of the channel is more than 170 m below the normal water level. The research results can provide support for subsequent anti-seepage methods and engineering treatments, as well as relevant engineering experience for other projects.
Research on Simulation and Prediction of Photovoltaic Power Generation Based on Radiation Models and Machine Learning Method
Authors: Gao Jie , Wang Xu , Gu Jianwei , Tang Siwei , Zhu Fangliang , Li Jingyi , Zhu Yiming 
Published: October 2024

AbstractFocus on the Carbon Peaking and Carbon Neutrality Goals, new energy such as solar and wind power generation developed rapidly. In 2023, the installation of solar energy in China exceeded 0.6 Terawatt, accounting for over 20% of the total installed electricity capacity, surpassing hydropower for the first time, becoming the second largest power supply in China. Annual photovoltaic (PV) power generation achieved nearly 583.3 TWh, gradually towards the main power supply. An accurate simulation and prediction of PV power generation is of great significance for the safe and economical operation of the new power systems. In this paper, on 15-min measured irradiance and power generation data of PV plants within one year and the reanalysis meteorological hourly data of ERA5 derived from ECMWF (European Centre for Medium-Range Weather Forecasts), Firstly, we discover the characteristics of PV power generation by analyzing the daily insolation hours and hourly mean power output. Then physical mechanism method is used through radiation model, inclined plane radiation correction model and photoelectric conversion model. PV power output is simulated based on grid-type reanalysis meteorological data. Finally, according to the deviation sequence of simulated and measured power output, a machine learning method extreme gradient boosting (XGBoost) is introduced. After dividing the deviation time series into training set and test set, the training set is applied to learn the patterns to correct the test set. And the test set is fed back to modify the prediction. The results show that by using machine learning method, the determination coefficient (R-squared) of hourly PV power output of a certain station for medium and long-term could reach 0.9, which contribute to improve the accuracy of PV power output generation prediction effectively.
Construction of a Full Process Evaluation for the SocialIntegration of Migrants in Water Conservancy and Hydropower Projects
Authors: Zhonggen Sun , Ziting Shao , Huazhong Zhang , Jihua Chen , Qingnian Yu , Yifei Wang 
Published: October 2024

AbstractChina's water conservancy and hydropower enterprises continue to face the challenge of lagging hydropower standards despite being a major player in the construction of water conservancy and hydropower projects. This paper presents a theory for evaluating the social integration process of immigrants in water conservancy and hydropower projects. The theory aims to promote China’s ‘Belt and Road’ strategy, enhance China’s modernization, and establish China’s right to speak. The paper explains the overall framework, process evaluation, and result evaluation of the theory. The evaluation process can be divided into three periods: planning, placement, and later support. The result evaluation is divided into three aspects: environmental adaptation, population development, and cultural integration. Using the Three Gorges Project as an example, this text preliminarily tests the science, rationality, and feasibility of the entire assessment theory. In the future, research on engineering immigration should expand the application scope of the whole process assessment. Sufficient attention should be paid to the problem of social restructuring, and efforts should be made to build an assessment system with Chinese characteristics.
Evolution Laws and Spatial Differentiation Characteristics of Climate and Extreme Climate Before and After the Impoundment of the Three Gorges Reservoir
Authors: Liu Ruirui , Kou Xiaomei , Song Wei , Dong Chuang 
Published: October 2024

AbstractHuman-induced climate change has affected weather and extreme climate events, the Three Gorges Hydropower Project is the largest hydropower project in the world, which must inevitably have some impacts on the regional climate and extreme climate. Based on the data of precipitation, temperature, sunshine hours, relative humidity, minimum temperature and maximum temperature of 14 meteorological stations in the study area for 59 years from 1961 to 2019, this paper adopts the climate tendency rate, Mann-Kendall test, ordered clustering method, Kriging difference method to analyze the climate change trend and spatial differentiation characteristics before and after the impoundment of the Three Gorges Reservoir. The results indicated that the impact on precipitation is weak, there is no significant trends; sunshine hours and relative humidity all showed a significant decreasing trend at 11 stations. However, Except Gaoping, Badong, Enshi and Laifeng, the temperature of the other 10 stations has changed significantly rise trend from a cooling trend to a warming trend. The Three Gorges Reservoir has a slowing effect on the rise of minimum temperature at Wanyuan, Badong, Wufeng, Yichang, Jingzhou, Wanzhou, Shapingba, Laifeng and Yibing, the impact on the ecosystem is beneficial. The increase of maximum temperature at 13 stations except Yichang will inevitably change the regional ecosystem. The abrupt changes of temperature, relative humidity and maximum temperature all occurred after impoundment of the Three Gorges Reservoir. After the impoundment of the Three Gorges Dam, the precipitation variability increased in the west and decreased in the east; North-central temperatures rise more; The decrease range in the east is greater than that in the west; Relative humidity in the west decreased more than that in the east. The temporal and spatial changes of lacal climate will inevitably have a certain impact on the local ecosystem.
Experimental Study on the Flexural Performance of Hydraulic High Ductility Concrete
Authors: He Jingjing , Fang Wei , Zhang Zhi , Hao Rusheng , Guo Yan 
Published: October 2024

AbstractIn order to solving the problem of tolerance in the mixing of water workers’ consolidation processes, Hydraulic High Ductile Concrete (HHDC) was prepared by using lower cost centimeters and TY-PVA fibers. The effects of sand-binder ratio, fly ash dosage, rubber powder dosage and fibre dosage on the performance of HHDC were investigated. The results show that among the four influencing factors, the rubber powder dosage and sand-binder ratio have a more significant impact on the flexural load, with HHDC-1 having the highest flexural load of 3.49 kN. While the fiber dosage and fly ash dosage have a significant impact on the ultimate deflection, with HHDC-7 having the maximum ultimate deflection of 0.60 mm. Each group of HHDC exhibits ductile failure characteristics during the bending process. The conclusion of the study can provide some theoretical support for the engineering application and promotion of HHDC.
Exploration of the Application of Fine Reconstruction of Unmanned Aerial Vehicles in Landslide Disaster Investigation and Management
Authors: Zhao Daiyao , Han Jingnan , Liu Xianggang , Zuo Zhouchang , Zheng Kexun 
Published: October 2024

AbstractThe mountainous terrain in the southwest region is characterized by significant topographic relief and abundant rainfall. When constructing new energy infrastructure such as booster stations in mountainous areas, it is extremely easy to induce landslide instability due to the excavation of mountain slopes. This article takes the Wangmo landslide in the southwestern region of Guizhou Province as the research object, uses multi-rotor drones as platforms, and utilizes techniques such as ground-based photogrammetry and close-range photogrammetry to detect and obtain relevant parameters such as the shape, deformation and damage characteristics, and zoning of the Wangmo landslide. The specific application methods and application effects of fine reconstruction of drones in landslide hazard detection and management are elaborated and discussed. The conclusions are as follows: Compared with traditional orthophotography, the high-definition image data obtained through fine reconstruction of ground-based photogrammetry and close-range photogrammetry generates more comprehensive orthophotographs and 3D model textures with higher resolution. Using the orthophotographs and 3D models produced by fine reconstruction, the structural surface combination, surface crack development, and landslide deformation zone are interpreted, and the formation mechanism of the landslide is determined in conjunction with ground surveys, providing a data foundation for prevention and control design. UAV aerial survey has the characteristics of short cycle, flexibility, and strong emergency response, and has high promotion value in landslide hazard investigation of booster stations.
A Review of Oscillating Buoy Devices in Wave Energy Power Generation
Authors: Zhang Jianchao , Wang Le , Ren Haitao 
Published: October 2024

AbstractEscalating energy demands and dramatic changes in global climate present a formidable challenge. As a clean, renewable, and unexploited large-scale energy source, ocean wave energy has attracted research attentions all over the world. Although the existing theoretical technologies of wave energy power generation are emerging rapidly, few of them can be applied to massive practical deployment. The current achievements of wave energy resources are reviewed in this paper; various forms and energy transmission modes of oscillating buoy wave energy converters are summarized, and their characteristics and scope of application are detailed; the different array arrangement and benefits of the oscillating buoy wave energy converter are summarized; the directions for future oscillating buoy device development are outlined. Particularly, enormous amount of wave energy from far offshores will be exploited through using advanced and sophisticated equipment and technology, the oscillating buoy energy capture method and more direct and efficient direct-drive power generation devices will be the main choice for wave energy development in the future; to optimize the selection, size, and array layout of oscillating buoy wave energy converter can effectively improve the energy conversion efficiency and lower the levelized cost.