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Optical and Thermal modeling of a Transparent BIPV system for Dynamic Performance in Buildings 28th

Optical and Thermal Modeling of a Transparent BIPV System fo...

引用

28th International conference on Knowledge Based and Intelligent information and Engineering systems, KES 2024

作者： Garay-Martinez, Roberto Siddique, Muhammad Talha Institute of Technology Faculty of Engineering University of Deusto Avda. Universidades 24 Bilbao48007 Spain

In developed countries, the building sector accounts for up to 40% of the consumed energy. During the past centuries, fossil fuels have been the main energy source to heat, cool, or provide electric power to buildings, but with the increasing energy prices in the beginning of the 21st century, an increasing number of products and systems have been developed for the integration of renewable energy systems in the building sector. One of the most commonly used technologies involves the integration of photo-voltaic (PV) systems in the building fabric. Several technical solutions are available for this integration, although most common ones are related to PV integration in roofs. However, an increasing interest has been shown in semi-transparent PV systems for integration in windows and curtain-wall systems. © 2024 The Authors.

关键词： Green buildings

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Experimental Investigation of Control strategy in a Wind Energy Conversion system Based on PMSG 21

Experimental Investigation of Control Strategy in a Wind Ene...

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21st IEEE International conference on Sciences and Techniques of Automatic Control and Computer Engineering, stA 2022

作者： Ben Mahdhi, Hedi Houcin, Ghozlani Ben Azza, Hechmi Touaiti, Bilel Département de Génie Electrique

ISBN: (纸本)9781665482615

This paper presents an experimental research of a control strategy for a Wind enery conversion system (WECS) based on Permanent Magnet Synchronous Generator (PMSG) and the modeling of power converter, where one has been connected to the (PMSG). The left side converter is controlled by Field Oriented Control (FOC). The control of this system is accomplished by applying Maximum Power Point Tracking (MPPT) control for extracting the maximum power and proportional integral (PI) correctors to control the speed and the d and q-axis currents. The proposed subsystems experimental results are presented using a 1.57kW four poles pairs, three-phases PMSG which is directly connected to a servomotor to produce a rotation speed of 3000 rpm at a frequency of 200 Hz. © 2022 IEEE.

关键词： Synchronous generators

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Optimal Sizing of a Community Level Thermal Energy storage system 21

Optimal Sizing of a Community Level Thermal Energy Storage S...

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21st IEEE Mediterranean Electrotechnical conference (IEEE MELECON)

作者： Geraedts, Mitch Alpizar-Castillo, Joel Ramirez-Elizondo, Laura Bauer, Pavol Delft Univ Technol DC Syst Energy Convers & Storage Delft Netherlands

ISBN: (纸本)9781665442800

Fifth-generation energy networks are combined networks of heat and electricity, that have the ability to generate, distribute, store and share energy between consumers. Knowledge on the dynamic behaviour of the physical phenomena related to energy generation, distribution and storage provides insight into the performance of the system as a whole. A mixed-integer linear algorithm is proposed, implementing a partitioned clustering program for subsequent classification of typical demand, grouping specific days with similar demand profiles together. From this arrangement, the optimal network configuration can be determined using an objective function, minimizing the economic and environmental impact. To validate the optimization results, a simulation of the network was built, which mimics its physical dynamic behaviour, and through which the distribution and storage capabilities of the network can be assessed. Advanced advice on fifth-generation energy networks is presented that can be applied to early-stage network design, reducing costs and emissions, along with data on the implementation of renewable energy technologies and their performance. Additionally, this research provides the foundation for numerical modelling of such energy networks which contributes to future research.

关键词： Community Energy storage Fifth-generation Energy systems Thermal Energy storage

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A Conceptual Model of a Multi-agent system to Simulate Collective Behaviors in Renewable Energy Communities 21st

A Conceptual Model of a Multi-agent System to Simulate Colle...

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21st International conference on Cooperative Design, Visualization, and Engineering (CDVE)

作者： Allani, Raihana Leclercq, Pierre Univ Liege LUCID Lab User Cognit & Innovat Design Liege Belgium

ISBN: (纸本)9783031713149;9783031713156

The urgent need for a global energy transition towards sustainability has underscored the importance of Renewable Energy Communities (RECs) in promoting local green energy production and consumption. Managing these communities is complex due to the diverse behaviors of members influenced by various factors. This paper proposes a conceptual model of a multi-agent system that integrates the Theory of Planned Behavior and Activity Theory to simulate individual and collective behaviors within energy communities. By leveraging the psychological insights of the Theory of Planned Behavior and the socio-cultural perspective of Activity Theory, the conceptual model aims to enhance the understanding of behavioral dynamics within RECs, thereby informing management strategies and energy policies. The model is designed to simulate energy behaviors and interactions between agents and their environment. Agents, representing consumers and producers, make decisions based on attitudes, subjective norms, and perceived behavioral control as outlined by the Theory of Planned Behavior. The system's environment, structured by Activity Theory, organizes agents' interactions and incorporates tools, roles, rules, and norms governing the activities within energy communities. Future simulations under various scenarios will allow the evaluation of management strategies, facilitating the transition towards sustainable energy practices. This socio-technical approach offers a detailed framework for modeling energy community behaviors and demonstrates the efficacy of multi-agent systems in studying complex energy systems.

关键词： Multi-Agent system Conceptual model Individual and collective behaviors Theory of Planned Behavior Activity Theory Renewable Energy Community

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Sheet metal assortment optimization with k-Means 21

Sheet metal assortment optimization with k-Means

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21st International conference on modeling and Applied Simulation, MAS 2022

作者： Witthaut, Markus Kalbe, Nils Fraunhofer Institute of Material Flow and Logistics IML Joseph-von-Fraunhofer-Str. 2-4 Dortmund44227 Germany

ISBN: (纸本)9788885741775

This paper deals with inventory optimization in the procurement of sheet metal for small series and contract manufacturers. An AI-based algorithm was developed and tested for a real-world application. The underlying use case is a variant of the cutting stock problem. The objective is to optimize the number of metal sheet variants to be source to reduce inventory and handling costs. Therefore, demand for metal sheets with different dimensions are combined so that large sheets are sourced from which the sheets required for production are cut. Here we have a trade-off between the savings in inventory management versus the additional costs due to scrapping of cut losses. Decision models for this application case which take all these factors into account have not been developed so far. This paper presents a first approach by modelling parts of the problem as a linear integer problem which is heuristically solved with a k-Means clustering algorithm. With this model different scenarios can be simulated for making better inventory decisions. This approach was implemented in a software application based on Power BI and the Python library scikit-learn and tested in practice by a company. The test showed considerable savings potential for the use case and provided important stimuli for further research, especially regarding further modelling approaches and search algorithms. © 2022 The Authors.

关键词： Machinery

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Proceedings of the 21st International conference on Business Process Management, BPM 2023

Proceedings of the 21st International Conference on Business...

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Proceedings of the 21st International conference on Business Process Management, BPM 2023

ISBN: (纸本)9783031416224

The proceedings contain 23 papers. The special focus in this conference is on Business Process Management. The topics include: Large Language Models for Business Process Management: Opportunities and Challenges;a Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery;the Impact of Leadership on Business Performance. The Role of Process Performance;from Automatic Workaround Detection to Process Improvement: A Case study;business Process Management Maturity and Process Performance - A Longitudinal study;conversational Process Modelling: state of the Art, Applications, and Implications in Practice;process Mining and the Transformation of Management Accounting: A Maturity Model for a Holistic Process Performance Measurement system;towards a Theory on Process Automation Effects;zooming in for Clarity: Towards Low-Code modeling for Activity Data Flow;Resource Allocation in Recommender systems for Global KPI Improvement;optimizing the Solution Quality of Metaheuristics Through Process Mining Based on Selected Problems from Operations Research;steady state Estimation for Business Process Simulations;adding the Sustainability Dimension in Process Mining Discovery Algorithms Evaluation;trusted Compliance Checking on Blockchain with Commitments: A Model-Driven Approach;preface;declarative Choreographies with Time and Data;Foundations of Collaborative DECLARE;predicting Unseen Process Behavior Based on Context Information from Compliance Constraints;execution Semantics for Process Choreographies with Data;detecting Weasels at Work: A Theory-Driven Behavioural Process Mining Approach;The Dpex-Framework: Towards Full WFMS Support for Decentralized Process Execution.

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Proceedings of the 21st International conference on Business Process Management, BPM 2023

Proceedings of the 21st International Conference on Business...

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Proceedings of the 21st International conference on Business Process Management, BPM 2023

ISBN: (纸本)9783031434327

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Models for the Indian Judicial system: A study on Its Applicability and Challenges 21st

Models for the Indian Judicial System: A Study on Its Applic...

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21st ISME International conference on Advances in Mechanical Engineering, ISME 2023

作者： Dorapudi, Sri Harsha Deshmukh, S.G. Shriyam, Shaurya Department of Mechanical Engineering Indian Institute of Technology Delhi New Delhi India

ISBN: (纸本)9789819736539

The most specific way of understanding any process includes its dynamic flow of activities and developing specific models that help decision-makers make strategic decisions. Given the practical constraints and considering changes to the system in real time, it is more demanding to use simulation models. These simulation models have many applications to make the system efficient and desirable for interpreting the results. Such models help create and address the challenges a judicial system faces in the form of delays in court operations, from filing different cases at their disposal. However, the models are complex to develop using various open-source or licensed software. still, they can find an attempt to optimize with the necessary information through a detailed examination of the process. The current paper’s originality addresses how these models can be a better alternative for process optimization for such complex systems in the Indian judiciary regarding procedural ambiguity and complexity. It also emphasizes the various challenges for information gathering and the necessity of streamlining the operations by building these models. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： optimization

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Clock Recovery Circuit for 3-Gsymbol/s/lane MIPI C-PHY Receiver 21

Clock Recovery Circuit for 3-Gsymbol/s/lane MIPI C-PHY Recei...

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21st International system-on-Chip Design conference, ISOCC 2024

作者： Shin, Dong-Seob Park, Jong-Ho Song, Chang-Min Kim, Seong-Yun Lee, Hyeonseok Lee, Jinyeong Jang, Young-Chan Graduate School Kumoh National Institute of Technology Department of Semiconductor System Engineering Gumi Korea Republic of

ISBN: (纸本)9798350377088

A clock recovery circuit for use in the receive circuit of the MIPI C-PHY is proposed. The proposed clock recovery circuit removes the glitch noise that may be generated in the process of recovering the clock by detecting the edge of the received data. It performs an optimization of the control of the delay line used for the implementation of the short pulse in the conventional clock recovery circuit. To optimize this delay line, the proposed clock recovery circuit is designed by adding a clock recovery calibration circuit to the conventional clock recovery circuit, which controls the delay lines according to the pattern of data sampled by the recovered clock. The proposed clock recovery circuit supporting the MIPI C-PHY with a symbol rate of 3 GHz per lane is designed using a 65-nm CMOS process and consumes 0.2 mW during clock recovery calibration operations at a supply voltage of 1.2 V. © 2024 IEEE.

关键词： Calibration

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Predictive Analysis for Real-Time Transmission Power optimization in Wireless Networks

Predictive Analysis for Real-Time Transmission Power Optimiz...

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IEEE India conference (INDICON)

作者： Sabyasachi Chatterjee Dipanwita Bhanja ECE Department Heritage Institute of Technology Kolkata INDIA System Department TCS Kolkata INDIA

ISBN: (数字)9798350391282

ISBN: (纸本)9798350391299

Transmission power optimization is a critical aspect of advanced wireless systems, as it reduces interference, enhances signal quality, and ensures reliable communication, even under dynamic conditions. Consequently, it has become indispensable for improving overall system performance. In this study, we have leveraged predictive modeling to optimize transmission power effectively. The research introduces an innovative ensemble learning model that accurately predicts path loss and received power, forming the basis for precise optimization. We have integrated the prediction of the proposed model with the Adam optimizer to implement dynamic transmission power management. Realistic datasets generated using the QualNet simulator have ensured reliability and applicability in diverse scenarios. Additionally, we propose a power control unit to implement the optimization strategy practically, enabling real-time transmission power adjustments in response to changing network conditions. This comprehensive approach marks a significant advancement in predictive modeling and optimization techniques, paving the way for a more efficient, adaptive, and sustainable wireless communication infrastructure.

关键词： Adaptation models Wireless networks system performance Power control Predictive models Real-time systems Ensemble learning Reliability Predictive analytics optimization

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