Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID ▲ Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-5201 Conference paper 2022 Alva P.; Biljecki F.; Stouffs R. USE CASES FOR DISTRICT-SCALE URBAN DIGITAL TWINS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 10.5194/isprs-archives-XLVIII-4-W4-2022-5-2022 Efficient usage and management of abundant data are crucial for organisations, especially in the light of a lack of in-depth IT knowledge. Digital twins (DTs) are particularly expected to assist organisational processes, as behaviours of physical components are realistically represented by them using data for individual use cases. Nevertheless, DTs are extremely reliant on their use cases, leading to an extensive DT catalogue. However, a conclusive list of use cases for this accumulation of feasible DT application areas does not exist. To address this issue, this paper documents the use cases of Urban Digital Twin (UDT) platforms and applications with a state-of-the-art review. The study focuses on district-scale UDT applications that model, manage and analyse - buildings, transportation, energy, water, utility, and infrastructures that form smart cities. In order to catalogue diverse use cases found in several sectors, theoretical reasoning is developed. Our study provides a classified inventory that can be helpful for stakeholders in companies, government agencies and academia - such as researchers, architects, facilities managers, developers, and city planners. Copyright Β© 2022 P. Alva et al.
publications-5202 Article 2022 Yuan L.; Zhang T.; Zhang Q.; Jiang B.; LΓΌ X.; Li S.; Fu Q. Construction of green, low⁃carbon and multi⁃energy complementary system for abandoned mines under global carbon neutrality; [ε_x008f__x008c_ηΆ³η›®ζ ‡δΈ‹εΊ_x009f_εΌƒη_x009f_ΏδΊ•η»Ώθ‰²δ½_x008e_ηΆ³ε¤_x009a_能互补体系建设ζ€_x009d_考] Meitan Xuebao/Journal of the China Coal Society 10.13225/j.cnki.jccs.FQ22.0934 Under the dual carbon strategic goal, the high-quality development of coal industry will usher in new opportunities and challenges, fully release the potential of negative carbon energy enhancement in abandoned mines and create collaborative development model by cooperating development and utilization of new energy sources such as wind, light, water and heat, so as to promote the stable development of green, circular and low-carbon energy system. Cope with the challenge of clean energy’s steady supply and net zero development of coal industry, put forward the green low-carbon multi-energy complementary system of abandoned mine and integrate production-storage-fixation smart new negative carbon green energy supply and storage system which consists of holographic geology structure reconstruction, multi-source integration, energy storage by combination of physical and chemical, carbon consolidation utilization, multi-network intelligent control, intelligent emergency rescue. With the surface and underground joint space as the carrier, multi-source data fusion digital twin technology as the support, intelligent risk identification and early warning and disaster emergency rescue as the guarantee, realize the multi-dimensional, classificational and regional linkage of clean energy production, storage, supply and carbon capture, storage and utilization in abandoned mining areas. The paper summarizes five key scientific issues and seven main research directions for the development of green, low-carbon and multi-energy complementary system of abandoned mines, which provides a new way to realize the steady supply of clean energy, permanent storage of carbon, and the cycling development of energy-carbon balance, and guarantee the national energy security and high-quality development of economic society. Β© 2022 China Coal Society. All rights reserved.
publications-5203 Article 2022 Song Z.; Cheng M.; Niu W.; Wang Z.; Liu J.; Ge L. Key Technologies and Development Trends of Zero-Carbon Park Optimization Planning for Energy Internet Dianli Jianshe/Electric Power Construction 10.12204/j.issn.1000-7229.2022.12.002 Zero-carbon park is one of the key points in the practice of carbon neutralization and emission peak. However, in the context of the new power system, the electric energy supply of the park is characterized by the high integration of water, electricity, gas and heat, strong uncertainty of source-grid-load-storage, and complex and diverse primary and secondary topologies, which makes it difficult for the existing planning and design technologies to meet the application requirements. To this end, this paper discusses the current status, key technologies and future development trends of the optimal planning and design of zero-carbon parks. Firstly, the current status of research on zero-carbon parks and their planning and design technologies is explained from the perspective of energy interconnection. Secondly, the key technologies for optimal planning of zero-carbon parks, including energy-transportation system coupling, multi-energy complementarity, energy gradient utilization, demand response, and progressive planning, are summarized and explained. Finally, the future development trend of park planning is analyzed in terms of sharing concept, digital twin and cloud energy storage, and the technical challenges and research directions of park planning are indicated from the perspectives of concept application, disciplinary intersection, information integration and situational awareness, in order to provide stronger technical support for the development of zero-carbon parks for energy internet in China. Β© 2022, State Power Economic Research Institute. All rights reserved.
publications-5204 Article 2022 Wang B.; Wang Q.; Cheng J.C.P.; Yin C. Object verification based on deep learning point feature comparison for scan-to-BIM Automation in Construction 10.1016/j.autcon.2022.104515 Building information models (BIMs) have been widely adopted in current construction projects to enhance the efficiency of facility maintenance operations. As-built BIMs can reflect the actual conditions of facilities and thus as-built BIM reconstruction has shown great significance in digital twin generation, building health monitoring, facility management and urban renewal. Laser scanners are capable to capture dense 3D measurements of the environment in a fast and highly accurate way. Therefore, laser scanning data have been widely used for as-built BIM generation. Although research efforts have been made on how to automatically achieve β€_x009c_Scan-to-BIMβ€_x009d_, there are still gaps from applying current solutions to real scenarios. One of the challenges is that some irrelevant point clusters may be wrongly recognized as the desired object in the detection stage. This study presents a novel object verification approach based on deep learning point feature comparison to improve the accuracy of automated BIM reconstruction process. Firstly, a KPConv-based deep neural network is developed and trained to perform 3D point feature computation. Then through comparing point features calculated for extracted point clusters and as-designed BIM generated point clouds, point feature distance maps are generated. Afterwards, to automatically analyze the generated feature distance maps, a dataset including simulated positive and negative instances is created based on ModelNet40. And a tiny neural network is established and trained on the prepared dataset to acquire ability of distinguishment. To validate the feasibility of the proposed technique, experiments were conducted on both artificial point clouds and real scan data collected in one MEP room in a water treatment work in Hong Kong. It is demonstrated that the proposed technique can successfully filter out all the false positives in the Scan-to-BIM process, improving reconstruction accuracy significantly. Β© 2022 Elsevier B.V.
publications-5205 Article 2022 Sui W.-H. Catastrophic Mechanism of Seepage Deformation and Failure of Mining Rock Mass and Its Prevention & Control β… : Water-sand Mixture Inrush from Seam Roof; [η_x009f_Ώε±±ι‡‡ζ_x008e_˜ε²©δ½“ζΈ—ι€_x008f_ε_x008f_˜ε½ΆηΎε_x008f_˜ζ_x009c_Ίη†ε_x008f__x008a_防ζ_x008e_§β… :顶ζ_x009d_ΏζΊƒζ°΄ζΊƒη ‚] Journal of Earth Sciences and Environment 10.19814/j.jese.2022.10001 The prevention and control of the disaster of water-sand mixture inrush caused by mining is becoming one of important bottlenecks, which restricts mining safety. The state-of-the-art and trend of water-sand mixture inrush from seam roof were reviewed, including the catastrophic mechanism, movement law and risk evaluation. The engineering geological models of disaster formation are divided into four categories, including water-sand mixture inrush by direct or indirect exposure of unconsolidated aquifers, by seepage failure due to water-conducting fractured zone connecting, by man-made borehole drilling through unconsolidated aquifers, and by softened overburden with deterioration of water and inrush under the combined action of water pressure and mining pressure. In view of the seepage failure of water-sand mixture inrush, combined with the model test and theoretical derivation results, the basic movement law of the water-sand mixture flow through the orifice, single fracture, fracture network and caving zone was obtained, which lays the foundation for the establishment of a unified equation of the movement of water-sand mixture flow. An expression of critical hydraulic gradient from top to bottom seepage was derived, and the concept and calculation method of safe water head against water-sand mixture inrush were proposed. A qualitative and quantitative evaluation method for water-sand mixture was established, and a dynamically quantitative evaluation method for water-sand mixture inrush was realized. The successful application of active prevention and control measures was introduced by grouting to transform the properties of unconsolidated aquifers and backfill mining, in order to reduce overburden failure and prevent water-sand mixture inrush failure. Finally, the scientific problems of the mechanism of water-sand mixture inrush from seam roof and key technical issues, which should be solved in the next step of prevention and control, were proposed. The main scientific issues include that establishment of a digital twin model of the geological geology of water-sand mixture inrush from seam roof, revealing the formation mechanism of the water-sand mixture inrush pathway, the interaction between the water-sand mixture and the surrounding rocks, constructing the motion equation reflecting the whole process of water-sand mixture inrush, obtaining the grout propagation and solidification characteristics in the advanced area of preventing water-sand mixture inrush, etc. Research and development of key technologies include monitoring and early warning technology, actual environment modeling technology, and equipment for high-efficiency grouting. Β© 2022 οΌο½_x008f_ｕｒο½_x008e_ａο½_x008c_ ο½_x008f_ｆ Ｅａｒｔｈ Ｓｃｉｅο½_x008e_ｃｅｓａο½_x008e_ｄ οΌ¥ο½_x008e_ｖｉｒο½_x008f_ο½_x008e_ο½_x008d_ο½…ο½_x008e_ο½”. All rights reserved.
publications-5206 Article 2022 Wang Z.; Jia W.; Wang K.; Wang Y.; Hua Q. Digital twins supported equipment maintenance model in intelligent water conservancy Computers and Electrical Engineering 10.1016/j.compeleceng.2022.108033 With the rapid growth of China's economy, applied research on hydropower engineering has received an increasing amount of attention. However, since hydraulic electromechanical devices often work in actual industrial manufacturing environments at high loads for a long time, their health status is hardly predicted. By introducing digital twins technique, this paper proposed a predictive maintenance model for electromechanical devices to solve the problems. Firstly, multiple sensors are implemented on critical parts of the hydraulic electromechanical devices to collect devices’ physical and spatial signals. Secondly, constructing the digital twins model of electromechanical devices with the sensing data and the devices’ structural characteristics. Finally, by transfer learning, a comprehensive and reliable fault diagnosis method is designed to predict the remaining life of the devices and make decisions for facilities maintenance. Experiments show that the proposed model performs the best accuracy rate compared with the other methods. © 2022 Elsevier Ltd
publications-5207 Article 2022 Jiang Y.; Shen X. Construction and Application of Digital Twin in Hydrogen Production System of Alkaline Water Electrolyzer; [碱性电解槽制氢设备数字ε­η”_x009f_体ζ_x009e_„ε»Ίε_x008f__x008a_应用] Gaodianya Jishu/High Voltage Engineering 10.13336/j.1003-6520.hve.20211784 As a new technology for promoting the transformation of digital and intelligent equipment, digital twin technology has successfully realized its great application value in many scenes. With the rapid expansion of the scale of hydrogen production from renewable energy power generation and the digital transformation of the energy industry, some advanced management and operation and maintenance technologies are urgently required in the large-scale application of alkaline water electrolyzer (AWE). Therefore, the research on digital twin modeling and application of AWE is carried out in this paper. Firstly, based on the working principle and process of AWE, a four-layer construction framework of digital twin of AWE is built. Then, the application technology route and core technology of digital twin in the scenarios of equipment fault diagnosis, parameter control optimization and equipment cluster management are analyzed in the functional application layer. Finally, the challenges faced by digital twin technology of AWE are discussed from the aspects of standardization, business and visualization of twin construction. The results of the project can provide a theoretical reference for the informatization, digitization and scientific improvement of operation and maintenance management and control of AWE. Β© 2022, High Voltage Engineering Editorial Department of CEPRI. All right reserved.
publications-5208 Article 2022 Sung Y.-M.; Kim T. SMART FARM REALIZATION BASED ON DIGITAL TWIN ICIC Express Letters, Part B: Applications 10.24507/icicelb.13.04.421 The advancement of ICT has been implemented to enhance the productivity and efficiency in many areas through digital twin technology. The application domains are product management engineering, smart factory, supply chain, and even in agricul-ture, to name a few. Recently, agriculture increasingly utilizes digital technologies such as monitoring device, sensing, smart farm technology, big data analytics and smart equip-ment. This transforms the concept of agriculture from soil, water, air and fertilizer to farm building, LED illumination, digital technology, and data analytics. Thus, digital twin removes fundamental constraints concerning place, time, environment and human observation. This paper proposes the architecture of digital twin-based smart farm and realization of the model in the laboratory level. Also, the model can be tested to be implemented in the real field for commercial production. Β© 2022 ICIC International.
publications-5209 Article 2023 Stuyts B.; Weijtjens W.; Devriendt C. Development of a semi-structured database for back-analysis of the foundation stiffness of offshore wind monopiles Acta Geotechnica 10.1007/s11440-022-01551-3 Offshore wind turbines founded on monopiles are highly dynamic structures in which the stiffness of the soil adjacent to the monopile controls the natural frequency of the structure. As the loading regime and ground conditions surrounding the foundation are subject to considerable uncertainty, adaptable digital twins of the offshore structures are valuable as they allow the use of in-field monitoring data for model updating. As soil conditions and water depths are rarely uniform across a wind farm site, each structure is expected to behave differently. To back-analyse structural performance, geotechnical and structural data needs to be retrieved at every foundation location. A serverless cloud-based application was developed to allow quick and reliable storage and retrieval of geotechnical and structural data. The database was combined with an API layer to allow parametric data retrieval for back-analyses and digital twin updating across an entire wind farm. As the web application is hosted in the cloud, the data can be accessed through simple HTTP requests by authenticated users working offshore, in the office or remote. The performance of this solution is illustrated with a case study in which foundation stiffness across an entire wind farm site is parametrically calculated and updated. Β© 2022, The Author(s).
publications-5210 Note 2022 Tomic S.; Karmous-Edwards G.; Kamojjala S. Digital Twins: Case Studies in Water Distribution Management Journal - American Water Works Association 10.1002/awwa.1979 The power of a digital twinβ€”a digital representation of a physical object or processβ€”lies in its combined use of current technologies. Water utilities can benefit from digital twins across a wide spectrum, from staff and system operations, to leak detection, to managing infrastructure assets. Detailed case studies show how two water utilities have used digital twins to be more effective in daily operations, strategic planning, and responses to unplanned events. Β© 2022 American Water Works Association.