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Flexibility Characterization, Aggregation, and Market Design Trends with a High Share of Renewables: a Review

Current Sustainable/Renewable Energy Reports 2023年第1期10卷 12-21页

作者： Granado, Pedro Crespo del Rajasekharan, Jayaprakash Pandiyan, Surya Venkatesh Tomasgard, Asgeir Kara, Güray Farahmand, Hossein Jaehnert, Stefan Department of Industrial Economics and Technology Management Norwegian University of Science and Technology Trondheim Norway Department of Electric Power Engineering Norwegian University of Science and Technology Trondheim Norway Department of Energy Systems SINTEF Energy Research Trondheim Norway

Purpose of Review: Balancing a large share of solar and wind power generation in the power system will require a well synchronized coordination of all possible flexibility sources. This entails developing market designs that incentivize flexibility providers, and define new flexibility products. To this end, the paper reviews latest trends in the characterization of flexibility by understanding its dimensions in terms of time, spatiality, resource type, and associated risks. Also, as aggregators have emerged as important actors to deliver, and to reward end-user flexibility, the paper reviews latest trends in the topic. Recent Findings: The review reports latest trends and discussions on power system flexibility and their relations to market design. The current academic literature indicates that there are open question and limited research on how to reward short-term flexibility while considering its long-term economic viability. Demand-side flexibility through aggregation holds great potential to integrate renewables. Summary: Research in power system flexibility has to put effort on analysing new time-structures of electricity markets and define new marketplaces that consider the integration of new flexibility products, actors (e.g. aggregators, end-users), and mechanisms (e.g. TSO-DSO coordination). © 2023, The Author(s).

关键词： Power generation

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A Study on Dynamic Analysis of Floating Offshore Wind Turbines by Using a Novel Frequency Domain Model 34th

A Study on Dynamic Analysis of Floating Offshore Wind Turbin...

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34th International Ocean and Polar engineering Conference, ISOPE 2024

作者： Jun Lee, Min Zhang, Yu Duan, Menglan Zheng, Miaozi Jae Lee, Seung College of Safety and Ocean Engineering China University of Petroleum-Beijing Beijing China Institute for Ocean Engineering Shenzhen International Graduate School Tsinghua University Shenzhen China State Key Laboratory of Hydroscience and Engineering Department of Hydraulic Engineering Tsinghua University Beijing China Division of Naval Architecture and Ocean Systems Engineering Korea Maritime and Ocean University Busan Korea Republic of

ISBN: (纸本)9781880653784

This paper investigates the possibility of the linearization for the aerodynamic load while considering the effect of the control system. Rotor thrusts which are calculated by Open FAST were used for deriving equations of the transfer function for aero-servo-dynamic loads, and RADIS (Radiation and Diffraction Solver), which is developed by Korea Maritime and Ocean University (KMOU) was used to construct the frequency domain analysis tool for the aero-hydro-servo-dynamics. The characteristics of the transfer function for both aero- and aero-servo dynamic loads, and estimating equations are suggested at the range of mean wind speeds 8 to 15 m/s. In addition, the results from the developed frequency domain model have good agreement with OpenFAST by comparing motion responses. © 2024 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Frequency domain analysis

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Successful Digital Transformations Demand Process and Measurable Functions

Successful Digital Transformations Demand Process and Measur...

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2022 Portland International Conference on management of engineering and Technology, PICMET 2022

作者： Pacyna, Elizabeth M. Langford, Gary O. Portland State University Systems Engineering Program Etm Department PortlandOR United States

ISBN: (数字)9781890843410

ISBN: (纸本)9781890843410

A common notion underscoring popular beliefs of organizational growth in the digital future involves transforming processes to sustain or improve operations. Although a plethora of measures and metrics abound, digital transformation must begin with a strict ontological separation into those that are counted and those that are measurable/measured. The results of organizational processes can be counted. Thus, the aim is to characterize processes as distinct from functions, where the difference provides a basis for evaluating an organization's existing and proposed processes through countable items;and developing functional performances with measurable impacts, consequences, and costs. The result is an understanding of the measured value and worth of the transformations. By applying an ontological framework, we find that measurement theory captures the losses often missed or misinterpreted when planning and executing digital transformation. Significantly, these losses also hinder work and mask the true nature of the impacts of transformation. We posit the reported 'failures' of digital transformation may implicate procedural counting and presumed measurements - both of which violate measurement theory. © 2022 PICMET.

关键词： Ontology

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An analytical study on local buckling strength of box stub-columns made of SBHS500 under axial compression 11th

An analytical study on local buckling strength of box stub-c...

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11th International Conference on Bridge Maintenance, Safety and management, IABMAS 2022

作者： Yamazaki, R. Ono, K. Takeshima, N. Okada, S. Kitane, Y. Matsumura, M. Department of Civil and Environmental Engineering Waseda University Tokyo Japan IHI Infrastructure Systems Co. Ltd Tokyo Japan Department of Civil and Earth Resources Engineering Graduate School of Engineering Kyoto University Kyoto Japan Center for Water Cycle Marine Environment and Disaster Management Kumamoto University Kumamoto Japan

ISBN: (纸本)9781032345314

In 2017, SBHS (Steels for Bridge High-performance Structure) has been specified in "Specifications for Highway Bridges" in Japan. In order to investigate local buckling strength of welded box stub-column made of SBHS500 under axial compression, finite element analyses were conducted, covering a wide range of width-to-thickness ratio (RR). The validity of the analysis models was examined by comparing the experiment results in previous study and reproduction analysis results. Then, the local buckling strength obtained from analysis results were compared with existing ultimate strength curves. As a result, the ultimate strength values obtained from parametric analysis were slightly lower than values given by existing ultimate strength curves around RR = 0.7. In the end of this study, another ultimate strength curve which can evaluate local buckling strength of welded box stub column made of SBHS500 more accurately was proposed based on the analysis results. © 2022 the Author(s).

关键词： Axial compression

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Comprehensive Geometric Modeling of the Sibayak Geothermal Field

Comprehensive Geometric Modeling of the Sibayak Geothermal F...

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2024 International Conference on Applied Sciences and Material Applications, ICASMA 2024

作者： Qarinur, M. Silitonga, E.M.R. Alvan, S. Ogata, S. Kinoshita, N. Yasuhara, H. Civil Engineering Study Program Universitas Negeri Medan Medan20221 Indonesia Construction Management Study Program Universitas Negeri Medan Medan20221 Indonesia Division of Global Architecture Graduate School of Engineering Osaka University Osaka565-0871 Japan Department of Civil and Environmental Engineering Ehime University Matsuyama790-8577 Japan Department of Urban Management Kyoto University Kyoto615-8540 Japan

Geothermal reservoirs are significant sources of renewable energy. Accurate geometric modeling of these reservoirs is essential for understanding the distribution of heat and fluid dynamics within them. This study aims to develop a geometric model of the Sibayak geothermal field using borehole data. Borehole data provide detailed geological information, which is crucial for constructing a realistic geometric model. The methodology of this research involves several key steps: the collection of borehole data from the Sibayak geothermal field, the construction of a 3D geometric model of the reservoir using COMSOL Multiphysics based on the borehole data, and the validation of the model through comparison with field data and previous research findings. The results indicate that the developed geometric model successfully identifies zones with high geothermal potential and provides an accurate depiction of the reservoir's boundaries and characteristics. Modeling the geometry of geothermal reservoirs using borehole data offers profound insights into the internal dynamics of the reservoir and can serve as a valuable tool for planning and optimizing geothermal energy exploitation. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Geothermal fields

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Leveraging EfficientNetB3 in a Deep Learning Framework for High-Accuracy MRI Tumor Classification

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Computers, Materials & Continua 2024年第10期81卷 867-883页

作者： Mahesh Thyluru Ramakrishna Kuppusamy Pothanaicker Padma Selvaraj Surbhi Bhatia Khan Vinoth Kumar Venkatesan Saeed Alzahrani Mohammad Alojail Department of Computer Science&Engineering Faculty of Engineering and TechnologyJAIN(Deemed-to-be University)Bengaluru562112India School of Computer Science and Engineering VIT-AP UniversityAmaravati522241India Department of Computer Science&Technology Madanapalle Institute of Technology&ScienceMadanapalle517325India School of Science Engineering and EnvironmentUniversity of SalfordManchesterM54WTUK School of Computer Science Engineering&Information Systems(SCORE) Vellore Institute of Technology(VIT)Vellore632014India Management Information System Department College of Business AdministrationKing Saud UniversityRiyadh11531Saudi Arabia Adjunct Research Faculty Centre for Research Impact&OutcomeChitkara UniversityRajpuraPunjab140401India

Brain tumor is a global issue due to which several people suffer,and its early diagnosis can help in the treatment in a more efficient *** different types of brain tumors,including gliomas,meningiomas,pituitary tumors,as well as confirming the absence of tumors,poses a significant challenge using MRI *** approaches predominantly rely on traditional machine learning and basic deep learning methods for image *** methods often rely on manual feature extraction and basic convolutional neural networks(CNNs).The limitations include inadequate accuracy,poor generalization of new data,and limited ability to manage the high variability in MRI *** the EfficientNetB3 architecture,this study presents a groundbreaking approach in the computational engineering domain,enhancing MRI-based brain tumor *** approach highlights a major advancement in employing sophisticated machine learning techniques within Computer Science and engineering,showcasing a highly accurate framework with significant potential for healthcare *** model achieves an outstanding 99%accuracy,exhibiting balanced precision,recall,and F1-scores across all tumor types,as detailed in the classification *** successful implementation demonstrates the model’s potential as an essential tool for diagnosing and classifying brain tumors,marking a notable improvement over current *** integration of such advanced computational techniques in medical diagnostics can significantly enhance accuracy and efficiency,paving the way for wider *** research highlights the revolutionary impact of deep learning technologies in improving diagnostic processes and patient outcomes in neuro-oncology.

关键词： Deep learning MRI brain tumor cassification EfficientNetB3 computational engineering healthcare technology artificial intelligence in medical imaging tumor segmentation neuro-oncology

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Folding angle and wing flexibility influence the flight performance of origami winged fruits

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Nonlinear Dynamics 2024年第13期112卷 10995-11011页

作者： Cai, Jing-Fang Hsu, Ya-Chun Yen, Yu-Chen Lee, Yun-Chung Peyton, Bernie Huang, Mei-Jiau Yu, Hon-Tsen Juang, Jia-Yang Department of Mechanical Engineering National Taiwan University Taipei106319 Taiwan Department of Life Science National Taiwan University Taipei106319 Taiwan Berkeley CA United States Program in Nanoengineering and Nanoscience Graduate School of Advanced Technology National Taiwan University Taipei106319 Taiwan Degree Program of Genome and Systems Biology National Taiwan University Taipei106319 Taiwan

Winged fruits possess a unique flight mechanism relying on simple geometric structures rather than neuromuscular control. This study proposes an innovative approach using origami techniques to create three-winged model fruits, serving as a proxy for understanding the flight dynamics of natural winged fruits. Paper is employed to simulate inherent wing flexibility, with the option to add plastic frames for rigidity. We comprehensively investigate the free fall motion of both rigid and flexible winged fruits through experimental and numerical analyses. Velocity–time curves reveal a three-stage descent pattern—acceleration, deceleration, and steady states. The overshoot phenomenon is attributed to rapid lift increase due to leading-edge vortices attaching stably to the wings. This insight sheds light on aerodynamics governing fruit flight. Compared with rigid wings, flexible wings exhibit two key properties—slower descent and higher self-orienting capability—that facilitate a more stable and longer-distance dispersal of seeds under crosswind conditions. Our study demonstrates the potential benefits of flexible wings in natural seed distribution. This study advances our understanding of winged fruit flight dynamics, utilizing origami as a powerful tool for biomimetic investigations. The findings have broad implications, from improving aerodynamic designs to developing efficient micro air vehicles and electronic microfliers, and understanding seed dispersal evolution. Graphical abstract: (Figure presented.). © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

关键词： Fruits

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Exploring the Effectiveness of Work from Home: A Text Mining Analysis of Employee Perceptions and Experiences 7

Exploring the Effectiveness of Work from Home: A Text Mining...

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7th Information systems International Conference, ISICO 2023

作者： Nadlifatin, Reny Persada, Satria Fadil Beatrice, Amanda Putri, Nadya Permata Young, Michael Nayat Prasetyo, Yogi Tri Redi, Anak Agung Ngurah Perwira Department of Information Systems Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya60111 Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta11480 Indonesia Industrial Engineering Department Universitas Pembangunan Nasional "Veteran" Jawa Timur Surabaya60294 Indonesia School of Industrial Engineering and Engineering Management Mapua University 658 Muralla St. Intramuros Manila1102 Philippines Industrial Engineering Department Faculty of Engineering and Technology Sampoerna University Jakarta12780 Indonesia

Work from home (WFH) has become a global phenomenon that continues to grow, especially since the COVID-19 pandemic hit the world. Many organizations and companies are forced to adopt a remote working model to keep their employees safe. The usefulness of WFH is still up for dispute, though. Text mining analysis can be utilized to determine how beneficial working from home is. Sentiment analysis uses text analysis to gather ten thousand data from social media Tweets. Joy emotion is predicted to dominate with 83.98 percent according to the mining performed by the vocabulary valence aware dictionary and sentiment reasoner (VADER). © 2023 The Authors. Published by Elsevier B.V.

关键词： Sentiment analysis

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Comparing Classification Algorithms to Analyze Twitter Sentiment on Public Opinion on Fuel Oil 24

Comparing Classification Algorithms to Analyze Twitter Senti...

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24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023

作者： Widarma, Gita Novita, Rice Mustakim Rozanda, Nesdi Evrilyan Universitas Islam Negeri Sultan Syarif Kasim Riau Graduate Program Information Systems Department Pekanbaru Indonesia Postgraduate Programs Universitas Negeri Padang Information Systems Pekanbaru Indonesia Postgraduate Programs Institut Pertanian Bogor Master of Informatics Engineering Pekanbaru Indonesia Postgraduate Programs Universiti Teknologi Malaysia Master of Information Systems Management Pekanbaru Indonesia

ISBN: (纸本)9798350313956

Twitter is currently used as one of the applications that is often used to convey opinions or unrest by the public such as the current issue that is currently rife, namely regarding the increase in fuel oil prices (BBM) in Indonesia. With so much data scattered in a tweet that only consists of a few fragments of words, there must be valuable information or meaning that Twitter users want to convey. Text mining is a very appropriate method to do the analysis because in text mining there is a method that focuses on an opinion which will be concluded into positive and negative opinions. There are several algorithms that are most often used in data mining, namely K-Nearest Neighbor, Decision Tree, and Naive Bayes. The three algorithms used in this study were also compared with the use of feature selection Particle Swarm Optimization (PSO) which is well known for improving the performance of algorithms. There are 2165 negative opinion data and 2835 positive sentiment data. The data will be tried based on distinctive sums of data namely 1000 data, 3000 data, and 5000 data. The classic K-Nearest Neighbor algorithm obtained an accuracy result of 75.60% and made it the best when tested with 1000 data. The use of Particle Swarm Optimization (PSO) is proven to improve accuracy as when tested using 3000 data with an accuracy value of 78.21% on the K-Nearest Neighbor algorithm. In the mean time, in testing 5000 Data, the classic K-Nearest Neighbor once more gotten the most elevated exactness with a esteem of 74.02%. © 2023 IEEE.

关键词： Decision trees

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The Prospect of Inclusive Business Model for Mini-Grid Development

The Prospect of Inclusive Business Model for Mini-Grid Devel...

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2023 IEEE PES/IAS PowerAfrica, PowerAfrica 2023

作者： Dibaba, Henock Fillol, Leticia Tomas Pinomaa, Antti Honkapuro, Samuli Pacenti, Andrea School of Energy Systems Lut University Lappeenranta Finland Politecnico di Milano Department of Management Economics and Industrial Engineering Milano Italy

ISBN: (纸本)9798350337556

This paper aims to assess the importance of inclusive business models in rural mini-grid projects by analyzing the value chain of the mini-grid ecosystem. An inclusive business model is characterized by sustainability and aims to involve income-constrained groups in the value chain by providing solutions to neglected problems. Specifically, in the context of mini-grid development, an inclusive business strategy should aim to generate economic opportunities, promote local ownership and sustainability, and ensure that the benefits of electrification are accessible to the most marginalized communities. The objective of this study is to suggest approaches for mini-grid developers to foster inclusivity in their operations by addressing the social and economic hurdles experienced by underserved communities in rural areas of developing countries. © 2023 IEEE.

关键词： Rural areas

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