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component-based modeling of ground-coupled seasonal thermal energy storages

APPLIED THERMAL ENGINEERING 2022年 214卷

作者： Bott, Christoph Ehrenwirth, Mathias Trinkl, Christoph Bayer, Peter Martin Luther Univ Halle Wittenberg Inst Geosci & Geog Dept Appl Geol Von Seckendorff Pl 3 D-06120 Halle Germany Ingolstadt Univ Appl Sci Inst New Energy Syst Esplanade 10 D-85049 Ingolstadt Germany

Seasonal thermal energy storages are considered a central element of modern, innovative energy systems and help to harmonize fluctuating energy sources. Furthermore, they allow for an improved coupling between the electricity and heating sectors. Despite recent improvements of planning processes and enhanced models, significant discrepancies between projected and measured heat losses were revealed. Additional shortcomings of available tools relate to limitations in specifying geometry, internal design, or physical processes. Addressing these drawbacks, this study employs a revised, alternative approach by using a flexible, component-based, model ( "STORE "). It allows variable flexible parameterizations to study diverse design scenarios. After introducing relevant seasonal thermal energy storage components, processes and mechanisms, datasets, and evaluation techniques, a plausibility test is presented that applies a common thermal energy storage model for bench marking. In a test study, the re-use of a circa 1,000 m(3) large swimming pool is simulated. STORE is used to investigate performance trends caused by different designs (e.g., insulation thicknesses, materials at individual interfaces). For the plausibility test, the results show a high degree of coverage and good applicability. Further, the results of the test study show a storage efficiency of 12.4% for an uninsulated base case, which can be improved to 69.5% in case of the most complex, highly insulated configuration. Critical trends are revealed, covering reduced peak capacity levels (26.5 to 23.5 MWh) and raised average filling temperatures (39.1 to 45.2 ?). Improved long-term behavior involves reduced environmental impacts due to reduced heating of the ambient soil (+7.9 K compared to +14.1 K after 2 years). General conclusions reveal that an optimal design should initially focus on an external cover of soil and top insulation. However, evaluations should base on multiple parameters depending on the tar

关键词： Seasonal Storage Thermal Energy Storage component-based modeling Matlab/Simulink Large-scale TES Planning and Design

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Experimental characterization and component-based modeling of deck-to-pier connections for composite bridges

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JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH 2018年 150卷 31-50页

作者： Abbiati, Giuseppe Cazzador, Enrico Alessandri, Silvia Bursi, Oreste S. Paolacci, Fabrizio De Santis, Stefano Swiss Fed Inst Technol Dept Civil Environm & Geomat Engn Zurich Switzerland Univ Trento Dept Civil Environm & Mech Engn Trento Italy Roma Tre Univ Dept Engn Rome Italy

Higher stiffness and strength achieved with a reduced overall weight together with an extensive use of prefabrication justify the growing diffusion of Steel-Concrete Composite (SCC) bridges since the early 2000s, especially for the 20 divided by 80 m span range. Former experimental campaigns aimed at investigating the static response of simply supported continuous composite decks subjected to gravity loads, highlighted deck-to-pier connections, which typically experience negative moments, as critical elements. More precisely, tensile stresses occurring in the concrete slab and compression of bottom flanges of steel girders may cause concrete cracking and steel buckling, respectively. The adoption of Concrete Cross Beams (CCBs) allows for circumventing such issues and represents an enhanced solution for deck-to-pier connections in SCC bridges with continuous deck. In detail, steel girder head plates provided with shear studs transfer compression and shear loads to the CCB whilst additional steel rebars bring tension forces coming from adjacent concrete slabs. Although deck-to-pier connection based on CCBs can be designed with the support of Eurocodes, guidelines are limited to vertical loads and no standard exist for design against earthquakes. In order to investigate the seismic response of deck-to-pier connections based on CCBs and provide relevant design guidelines, an extensive research program was developed within the European Project SEQBRI, which is summarized in this paper. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Steel-concrete composite bridge Deck-to-pier connection Concrete cross beam Experimental testing component-based modeling

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component-based modeling in Mediator 1

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14th International Conference on Formal Aspects of component Software (FACS)

作者： Li, Yi Sun, Meng Peking Univ LMAM Sch Math Sci Beijing Peoples R China Peking Univ Dept Informat Sch Math Sci Beijing Peoples R China

ISBN: (数字)9783319680347

ISBN: (纸本)9783319680347;9783319680330

In this paper we propose a new language Mediator to formalize component-based system models. Mediator supports a two-step modeling approach. Automata, encapsulated with an interface of ports, are the basic behavior units. Systems declare components or connectors through automata, and glue them together. With the help of Mediator, components and systems can be modeled separately and precisely. Through various examples, we show that this language can be used in practical scenarios.

关键词： component-based modeling Coordination Formal method

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Reproducible, component-based modeling with TopoFlow, a spatial hydrologic modeling toolkit

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EARTH AND SPACE SCIENCE 2017年第6期4卷 377-394页

作者： Peckham, Scott D. Stoica, Maria Jafarov, Elchin Endalamaw, Abraham Bolton, W. Robert Univ Colorado Boulder Inst Arctic & Alpine Res Boulder CO 80309 USA Los Alamos Natl Lab Los Alamos NM USA Univ Alaska Int Arctic Res Ctr Fairbanks AK 99701 USA

Modern geoscientists have online access to an abundance of different data sets and models, but these resources differ from each other in myriad ways and this heterogeneity works against interoperability as well as reproducibility. The purpose of this paper is to illustrate the main issues and some best practices for addressing the challenge of reproducible science in the context of a relatively simple hydrologic modeling study for a small Arctic watershed near Fairbanks, Alaska. This study requires several different types of input data in addition to several, coupled model components. All data sets, model components and processing scripts (e.g., for preparation of data and figures, and for analysis of model output) are fully documented and made available online at persistent URLs. Similarly, all source codes for the models and scripts are open source, version controlled, and made available online via GitHub. Each model component has a Basic Model Interface to simplify coupling and its own HTML help page that includes a list of all equations and variables used. The set of all model components (TopoFlow) has also been made available as a Python package for easy installation. Three different graphical user interfaces for setting up TopoFlow runs are described, including one that allows model components to run and be coupled as web services.

关键词： reproducibility component-based modeling hydrologic model TopoFlow open source Python

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Towards uncertainty quantification and parameter estimation for Earth system models in a component-based modeling framework

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COMPUTERS & GEOSCIENCES 2016年第PartB期90卷 152-161页

作者： Peckham, Scott D. Kelbert, Anna Hill, Mary C. Hutton, Eric W. H. Univ Colorado INSTAAR Boulder CO 80309 USA Oregon State Univ CEOAS Corvallis OR 97331 USA Univ Kansas Dept Geol Lawrence KS 66045 USA

component-based modeling frameworks make it easier for users to access, configure, couple, run and test numerical models. However, they do not typically provide tools for uncertainty quantification or data-based model verification and calibration. To better address these important issues, modeling frameworks should be integrated with existing, general-purpose toolkits for optimization, parameter estimation and uncertainty quantification. This paper identifies and then examines the key issues that must be addressed in order to make a component-based modeling framework interoperable with general-purpose packages for model analysis. As a motivating example, one of these packages, DAKOTA, is applied to a representative but nontrivial surface process problem of comparing two models for the longitudinal elevation profile of a river to observational data. Results from a new mathematical analysis of the resulting nonlinear least squares problem are given and then compared to results from several different optimization algorithms in DAKOTA. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Model uncertainty modeling frameworks component-based modeling Optimization Inverse problems Nonlinear least squares Parameter estimation Longitudinal river elevation profiles

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An automata-based approach for addressing erroneous behaviors and deadlocks in component-based systems

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THEORETICAL COMPUTER SCIENCE 2025年 1030卷

作者： Pittou, Maria Rahonis, George Aristotle Univ Thessaloniki Dept Math Thessaloniki 54124 Greece

In component-based modeling, a system is built by constructing several coordinating components. In turn, the communication principles among components are modeled by architectures that characterize the permissible interactions and the topology of the components. Several architectures impose also order restrictions to the appearance of the permissible interactions. The application of an architecture to a component-based system does not guarantee that the behaviors of the system meet all the requirements of the architecture. In turn, this can lead the system to actions that do not follow the intended order of the interactions, which we call erroneous behaviors. In this paper, we tackle the problem of such order violations by introducing a formal framework for building component-based systems that avoid erroneous behaviors. For this, we formalize the systems by nondeterministic finite automata and we model their architecture by a fragment of extended propositional interaction logic. This logic achieves to encode the order restrictions in the occurrence of the permissible interactions of the architecture. Given a component-based system with an architecture, we propose an automata-based method for constructing a respective system without erroneous behaviors. Our algorithm returns a system that is also free of deadlocks, meaning that the system does not reach states from which it can no longer progress.

关键词： component-based modeling Architecture modeling Extended propositional interaction logic Erroneous behaviors Deadlock freedom

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A physics-constrained deep learning framework for dynamic modeling of vapor compression systems

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APPLIED THERMAL ENGINEERING 2024年 254卷

作者： Ma, Jiacheng Dong, Yiyun Qiao, Hongtao Laughman, Christopher R. Purdue Univ Sch Mech Engn Ray W Herrick Labs W Lafayette IN USA Univ Washington Dept Phys Seattle WA USA Mitsubishi Elect Res Labs Cambridge MA 02139 USA

Data-driven dynamic models typically offer faster execution than their physics-based counterparts described by large systems of nonlinear differential-algebraic equations (DAEs) with quantitatively reasonable accuracy. Therefore, development of such models can be extremely useful for design optimization, controls, fault detection and diagnostics of vapor compression based building Heating, ventilation and air conditioning (HVAC) systems. As the complexity and scale of vapor compression systems (VCS) increase rapidly across the industry, a modular approach of generating and interconnecting data-driven component models enables model reuse and efficient adaption to arbitrary system layouts. Despite the flexibility, the modular integration for system model generation can suffer from nonphysical behaviors of violating conservation laws due to inevitable prediction errors associated with each component. This paper presents a data-driven modeling framework that exploits state-of-the-art deep learning techniques for constructing component models, while enforcing physical conservation for system simulations. A general-purpose system solver is developed to handle arbitrary configurations by automatically integrating data-driven or interchangeable physics-based component models into a system model. Results of an air-source heat pump system reveal a significant speedup with good agreement, compared to high-fidelity first-principles models.

关键词： Transient simulation Deep learning Gated recurrent unit Vapor compression system component-based modeling Physical conservation

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component-based modeling for Complex Digital Logic Systems

Component-Based Modeling for Complex Digital Logic Systems

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6th International Congress on Image and Signal Processing (CISP)

作者： Zhou, Wen Chen, Fulong Sun, Yunxiang Ye, Heping Wang, Jinbao Qi, Xuemei Anhui Normal Univ Dept Comp Sci & Technol Wuhu 241002 Anhui Peoples R China Anhui Normal Univ Network & Informat Secur Engn Res Ctr Wuhu 241002 Anhui Peoples R China

ISBN: (纸本)9781479927630

With the rapidly increasing of digital logic systems' complexity, its design flows become more and more tedious. In order to increase its efficiency and reduce the cost of engineering, design cycles should tend to be more convenient. This paper presents a modeling methodology for complex digital logic components. It contains formal definition and calculation system of components. component-based modeling can help the developers to understand the design intent preferably and speed up the development of system. The formal definition gives the specification of components. The calculation system offers a theoretic way to connect components via connectors, and then provides a theoretical basis for further verification.

关键词： Complex Digital Logic components component-based modeling Calculation System

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component-based modeling for Complex Digital Logic Systems

Component-Based Modeling for Complex Digital Logic Systems

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International Congress on Image and Signal Processing

作者： Wen Zhou Fulong Chen Yunxiang Sun Heping Ye Jinbao Wang Xuemei Qi Department of Computer Science & Technology Anhui Normal University Network & Information Security Engineering Research Center Anhui Normal University

ISBN: (纸本)9781479927654

关键词： Complex Digital Logic components component-based modeling Calculation System

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Parallel multi-objective calibration of a component-based river temperature model

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ENVIRONMENTAL MODELLING & SOFTWARE 2019年 116卷 57-71页

作者： Buahin, Caleb A. Horsburgh, Jeffery S. Neilson, Bethany T. Utah State Univ Dept Civil & Environm Engn Logan UT 84322 USA Utah State Univ Utah Water Res Lab Logan UT 84322 USA

Many recent modeling efforts have employed component-based modeling frameworks to take advantage of the flexibility they provide in representing systems more holistically. Despite the benefits that are driving this adoption, conducing model parameter estimation, uncertainty analysis, sensitivity assessment, and other simulations of this nature within component-based modeling frameworks has remained unexplored. Using a multi-objective calibration of a component-based river temperature model, we illustrate how the component cloning and parallel model execution interfaces we have implemented in the HydroCouple framework support such simulations. The river temperature model calibration application we present involves a heavily human mediated 13.6 km section of the Logan River in Utah, USA with limited information regarding variable inflows. Due to the flexibility in the modeling and calibration framework, results from the calibration effort were successful with root mean square errors of 0.4-0.7 degrees C and provided insights on mechanisms controlling river temperatures.

关键词： component-based modeling Model calibration High performance computing River temperature modeling OpenMI HydroCouple

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