检索结果-内蒙古大学图书馆

Working IEEE/IFIP Conference on Software Architecture

作者： Jianlei Liu Eric Braun Clemens Düpmeier Patrick Kuckertz D. Severin Ryberg Martin Robinius Detlef Stolten Veit Hagenmeyer Institute for Automation and Applied Informatics (IAI) Karlsruhe Institute of Technology (KIT) Eggenstein-Leopoldshafen Germany Institute of Electrochemical Process Engineering (IEK-3) Forschungszentrum Jiilich. GmbH Jiilich Germany Chair of Fuel Cells Forschungszentrum Jiilich. GmbH Jiilich Germany

ISBN: (数字)9781538663981

ISBN: (纸本)9781538663998

In order to perform complex data processing and co-simulation workflows for research on data driven energy systems, a generic, modular and highly scalable process operation framework is presented in this article. This framework consistently applies web technologies to build up a microservices architecture. It automates the startup, synchronization, and management of scientific data processing and simulation tools (e.g. Python, Matlab, OpenModelica) as part of larger transdisciplinary, multi-domain data processing and co-simulation workflows. It uses container virtualization on the underlying cluster computing environment to control and manage different simulation *** the framework's processing workflow, software executables can be distributed to different nodes on the cluster, easily access data and communicate with other components via communication adapters and a high-performance messaging channel infrastructure. By integrating Apache NiFi, the framework also provides an easy-to-use web user interface to allow users to model, perform and operate workflows for future energy system solutions. As soon as a complex workflow is set up in the process operation framework, researchers can use the workflow without any setup or configuration on their local workstations and without knowing any details of the underlying infrastructure or software environment.

关键词： Computational modeling Containers Data models Virtualization Computer architecture Big Data

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Human Postural System Dynamical Behavior via Developed Statokinesigram Trajectory

引用

IFAC-PapersOnLine 2017年第1期50卷 15062-15067页

作者： Barbolyas, B. Suttova, K. Vachalek, J. Belavy, C. Hucko, B. Dedik, L. Institute of automation measurement and applied informatics Faculty of Mechanical Engineering STU in Bratislava Nam. slobody 17 Bratislava812 31 Slovakia Laboratory of motor control Institute of Normal and Pathological Physiology Slovak Academy of Sciences Sienkiewiczova 1 Bratislava813 71 Slovakia Institute of applied mechanics and mechatronics Faculty of Mechanical Engineering STU in Bratislava Nam. Slobody 17 Bratislava812 31 Slovakia

Presented study deals with the formulation of a model of the postural system behavior in the form of transfer function derived from Development Statokinesigram Trajectory (DST). As compared with statokinesigram, a DST shows a minimal signs of chaotic behavior while it takes anteroposterior and mediolateral postural sway direction into account together. Proposed method provides an alternative approach to established methodology based on the Center of Pressure (CoP) in evaluating the autoregulation control process in humans. For demonstration of DST application, CoP signals of young and healthy participants without and with bilateral vibration stimulus located on Achilles tendons were registered. Data analysis involves DST construction and numerical parameter estimation of the proposed model. Quadratic criterion showed that there is a disproportion between actual and mean DST time profile that was proposed as a sensitive parameter of posture control quality in all tested subjects in quiet stance condition. © 2017

关键词： Quality control Tendons Biomedical systems Biosignals Center of pressure interpretation Model formulation Postural system

来源：评论

学校读者我要写书评

暂无评论

Optimal Power Flow Subject to Non-Gaussian Stochastic Uncertainties: An L2-based Approach

引用

PAMM 2018年第1期18卷

作者： Tillmann Mühlpfordt Timm Faulwasser Veit Hagenmeyer Institute for Automation and Applied Informatics (IAI) Karlsruhe Institute of Technology (KIT) Germany

The optimal power flow (OPF) problem—i.e., the task to minimize power system operation costs while maintaining technical and network limitations—is key for the operational planning of power systems. The influx of inherently volatile renewable energy sources calls for methods that allow to consider stochasticity directly in the OPF problem. Modeling uncertainties as second-order continuous random variables, the OPF problem subject to stochastic uncertainties can be posed as an infinite-dimensional L 2 -problem. A tractable and exact reformulation thereof can be obtained using polynomial chaos expansion, under mild assumptions. Polynomial chaos as such is a Hilbert space series expansion for random variables that is frequently employed for uncertainty propagation and uncertainty quantification. Polynomial chaos offers several advantages for OPF subject to stochastic uncertainties. For example, multivariate non-Gaussian uncertainties can be considered straightforwardly. Also, the solutions from polynomial chaos are effectively feedback laws in terms of the realizations of the uncertainty that are determined in a single numerical run.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Feedback, Dynamics, and Optimal Control in Climate Economics⋆

arXiv

引用

arXiv 2018年

作者： Kellett, Christopher M. Weller, Steven R. Faulwasser, Timm Grüne, Lars Semmler, Willi School of Electrical Engineering and Computing University of Newcastle CallaghanNSW2308 Australia Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Mathematisches Institut Universität Bayreuth Bayreuth95440 Germany New School for Social Research New York United States University of Bielefeld Germany International Institute for Applied Systems Analysis Laxenburg Austria

For his work in the economics of climate change, Professor William Nordhaus was a co-recipient of the 2018 Nobel Memorial Prize for Economic Sciences. A core component of the work undertaken by Nordhaus is the Dynamic Integrated model of Climate and Economy, known as the DICE model. The DICE model is a discrete-time model with two control inputs and is primarily used in conjunction with a particular optimal control problem in order to estimate optimal pathways for reducing greenhouse gas emissions. In this paper, we provide a tutorial introduction to the DICE model and we indicate challenges and open problems of potential interest for the systems and control community. Copyright © 2018, The Authors. All rights reserved.

关键词： Economics

来源：评论

学校读者我要写书评

暂无评论

Counter-intuitive behaviour of energy system models under CO2caps and prices

arXiv

引用

arXiv 2018年

作者： Weber, Juliane Heinrichs, Heidi Ursula Gillessen, Bastian Schumann, Diana Horsch, Jonas Brown, Tom Witthaut, Dirk Forschungszentrum Julich Institute for Energy and Climate Research-Systems Analysis and Technology Evaluation Julich52428 Germany University of Cologne Institute for Theoretical Physics Zulpicher Str. 77 Cologne50937 Germany Frankfurt Institute for Advanced Studies Frankfurtam Main60438 Germany Karlsruhe Institute of Technology Institute for Automation and Applied Informatics Eggenstein76344 Germany

The mitigation of climate change requires a fundamental transition of the energy system. Aordability, reliability and the reduction of greenhouse gas emissions constitute central but often conicting targets for this energy transition. Against this context, we reveal limitations and counter-intuitive results in the model-based optimization of energy systems, which are often applied for policy advice. When system costs are minimized in the presence of a CO2cap, effciency gains free a part of the CO2cap, allowing cheap technologies to replace expensive low-emission technologies. Even more striking results are observed in a setup where emissions are minimized in the presence of a budget constraint. Increasing CO2prices can oust clean, but expensive technologies out of the system, and eventually lead to higher emissions. These effects robustly occur in models of different scope and complexity. Hence, extreme care is necessary in the application of energy system optimization models to avoid misleading policy advice. Copyright © 2018, The Authors. All rights reserved.

关键词： Greenhouse gases

来源：评论

学校读者我要写书评

暂无评论

Cost optimal scenarios of a future highly renewable European electricity system:Exploring the influence of weather data, cost parameters and policy constraints

arXiv

引用

arXiv 2018年

作者： Schlachtberger, D.P. Brown, T. Schäfer, M. Schramm, S. Greiner, M. Frankfurt Institute for Advanced Studies Frankfurt am Main60438 Germany Department of Engineering Aarhus University Aarhus C8000 Denmark Institute for Automation and Applied Informatics Hermann-von-Helmholtz-Platz 1 Eggenstein-Leopoldshafen76344 Germany University of Freiburg Freiburg79110 Germany

Cost optimal scenarios derived from models of a highly renewable electricity system depend on the specific input data, cost assumptions and system constraints. Here this influence is studied using a techno-economic optimisation model for a networked system of 30 European countries, taking into account the capacity investment and operation of wind, solar, hydroelectricity, natural gas power generation, transmission, and different storage options. A considerable robustness of total system costs to the input weather data and to moderate changes in the cost assumptions is observed. Flat directions in the optimisation landscape around cost-optimal configurations often allow system planners to choose between different technology options without a significant increase in total costs, for instance by replacing onshore with offshore wind power capacity in case of public acceptance issues. Exploring a range of carbon dioxide emission limits shows that for scenarios with moderate transmission expansion, a reduction of around 57% compared to 1990 levels is already cost optimal. For stricter carbon dioxide limits, power generated from gas turbines is at first replaced by generation from increasing renewable capacities. Non-hydro storage capacities are only built for low-emission scenarios, in order to provide the necessary flexibility to meet peaks in the residual load. Copyright © 2018, The Authors. All rights reserved.

关键词： Carbon dioxide

来源：评论

学校读者我要写书评

暂无评论

On the Aubin property of solution maps to parameterized variational systems with implicit constraints

arXiv

引用

arXiv 2018年

作者： Gfrerer, Helmut Outrata, Jirí V. Institute of Computational Mathematics Johannes Kepler University Linz LinzA-4040 Austria Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Prague18208 Czech Republic Centre for Informatics and Applied Optimization Federation University of Australia POB 663 BallaratVic 3350 Australia

In the paper a new sufficient condition for the Aubin property to a class of parameterized variational systems is derived. In these systems the constraints depend both on the parameter as well as on the decision variable itself and they include, e.g., parameterdependent quasi-variational inequalities and implicit complementarity problems. The result is based on a general condition ensuring the Aubin property of implicitly defined multifunctions which employs the recently introduced notion of the directional limiting coderivative. Our final condition can be verified, however, without an explicit computation of these coderivatives. The procedure is illustrated by an example. Copyright © 2018, The Authors. All rights reserved.

关键词： Parameterization

来源：评论

学校读者我要写书评

暂无评论

Contextual Modeling of Engineering Structures Using Organized Content

Contextual Modeling of Engineering Structures Using Organize...

引用

IEEE International Symposium on Intelligent Systems and informatics

作者： Laszlo Horvath Alajos Meszaros Institute of Applied Mathematics and Doctoral School of Applied Informatics and Applied Mathematics Óbuda University Budapest Hungary Institute of Information Engineering Automation and Mathematics Slovak University of Technology Bratislava Slowakia

This paper introduces recent research results in model representation of knowledge, former decision and experience content which is applied at driving of entities in system level model of engineering structures. Work for these results is part of a long-term research program to fulfill new demands against driving content by developing strategies of engineering model. The most important role of driving model entities by content is to replace the troublesome direct human definition. This paper first tracks milestones in history of developing strategies for engineering model to conclude their main impacts on current virtual engineering technology. Following this, new contributions are discussed including integration of organized information content in engineering model, modified concept of model for information content, and substructures on levels of information content model. Finally, implementation of information content model in leading industrial engineering model structures is outlined.

关键词： System level model of engineering structure Driving information content for engineering model entities Knowledge driven self-adaptive engineering model

来源：评论

学校读者我要写书评

暂无评论

Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable european energy system

arXiv

引用

arXiv 2018年

作者： Brown, T. Schlachtberger, D. Kies, A. Schramm, S. Greiner, M. Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Hermann-von-Helmholtz-Platz i 76344 Eggenstein-Levpoldshafen Germany Frankfurt Institute for Advanced Studies Ruih-Moufang-Strafie I. Frankfurt Am Main60438 Germany Department of Engineering Aarhus University Aar Hus C8000 Denmark

There are two competing concepts in the literature for the integration of high shares of renewable energy: The coupling of electricity to other energy sectors, such as transport and heating, and the reinforcement of continent-wide transmission networks. In this paper both cross-sector and cross-border integration are considered in the model PyPSA-Eur-Sec-30. the first open, spatially-resolved. temporally-resolved and sector-coupled energy model of Europe. Using a simplified network with one node per country, the cost-optimal system is calculated for a 95% reduction in carbon dioxide emissions compared to 1990. incorporating electricity, transport and heat demand. Flexibility from battery electric vehicles (BEV), power-to-gas units (P2G) and long-term thermal energy storage (LTES) make a significant contribution to the smoothing of variability from wind and solar and to the reduction of total system costs. The cost-minimising integration of BEV pairs well with the daily variations of solar power, while P2G and LTES balance the synoptic and seasonal variations of demand and renewables. In all scenarios, an expansion of cross-border transmission reduces system costs, but the more tightly the energy sectors are coupled, the weaker the benefit of transmission reinforcement becomes. Copyright © 2018, The Authors. All rights reserved.

关键词： Carbon dioxide

来源：评论

学校读者我要写书评

暂无评论

The impact of climate change on a cost-optimal highly renewable European electricity network

arXiv

引用

arXiv 2018年

作者： Schlott, Markus Kies, Alexander Brown, Tom Schramm, Stefan Greiner, Martin Frankfurt Institute for Advanced Studies Goethe University Frankfurt Ruth-Moufang-Str. 1 Frankfurt am Main60438 Germany Department of Engineering Aarhus University Inge Lehmans Gade 10 Aarhus C8000 Denmark Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany

We use three ensemble members of the EURO-CORDEX project and their data on surface wind speeds, solar irradiation as well as water runoff with a spatial resolution of 12 km and a temporal resolution of 3 hours under representative concentration pathway 8.5 (associated with a strong climate change and a temperature increase of 2.6 to 4.8 °C until the end of the century) until 2100 to investigate the impact of climate change on wind, solar and hydro resources and consequently on a highly renewable and cost-optimal European power system. The weather data is transformed into power, different aspects such as capacity factors and correlation lengths are investigated and the resulting implications for the European power system are discussed. In addition, we compare a 30-node model of Europe with historical and climate change-affected data, where investments in generation, transmission and storage facilities are optimised. Differences in capacity factors among European countries are more strongly emphasized at the end of the century compared to historic data. This results in a significantly increased photovoltaic share in the cost-optimal power system. In addition, annual hydro inflow patterns of major hydro producers change considerably. System costs increase by 5% until the end of the century and the impact of climate change on these costs is of similar magnitude as differences between the ensemble members. The results show that including climate affected-weather data in power system simulations of the future has an observeable effect. Copyright © 2018, The Authors. All rights reserved.

关键词： Wind power

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：