Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden最新文献

Gas Sensors for Early Detection of Fire Hazards Caused by Vehicles in Underground Mines 用于井下车辆火灾隐患早期检测的气体传感器

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden Pub Date : 2020-01-24 DOI: 10.3384/ecp2017085

Madeleine Martinsen, E. Dahlquist, Anders Lönnermark, Örjan Säker

引用次数: 3

Operations Dynamics of Gas Centrifugal Compressor: Process, Health and Performance Indicators 气体离心式压缩机的运行动力学:过程、健康和性能指标

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden Pub Date : 2020-01-24 DOI: 10.3384/ecp20170229

H. Nordal, I. El-Thalji

{"title":"Operations Dynamics of Gas Centrifugal Compressor: Process, Health and Performance Indicators","authors":"H. Nordal, I. El-Thalji","doi":"10.3384/ecp20170229","DOIUrl":"https://doi.org/10.3384/ecp20170229","url":null,"abstract":"Emerging technologies of Industry 4.0 have introduced novel ways of perceiving maintenance management, which has developed from being perceived as a “necessary evil” to become proactive with a holistic focusing on entire systems rather than single machines from Maintenance 3.0. In this context, the industry has begun to really appreciate the unique opportunities followed by system dynamics and simulation tools capabilities of representing the real world. However, maintenance management and performance are complex aspects of asset’s operation that is difficult to justify because of its multiple inherent trade-offs. Although the majority areunanimous when it comes to the expected impact maintenance plays on company profitability, this is in most cases challenging to determine and quantify. Moreover, relevant literature is considered as limited, especially with regards to impact simulation of Maintenance 4.0. Therefore, this paper focuses on the supportive function system dynamics, and modeling and simulation tools can be of help to assess behavior and predicting the future outcome of Maintenance 4.0 in the era of Industry 4.0. This includes developing a conceptualized model that enables simulating the future expected behavior i.e. (un)availability and cost by implementing such a maintenance system. In this context, a centrifugal compressor with the function of exporting gas to Europe is applied as a case study.","PeriodicalId":179867,"journal":{"name":"Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130385682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Experimental and computational study on the effect of ash deposition on fluid dynamic behavior in a bubbling fluidized bed gasifier 灰沉降对鼓泡流化床气化炉流体动力学特性影响的实验与计算研究

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden Pub Date : 2020-01-24 DOI: 10.3384/ecp20170170

R. Thapa, S. Thapa, Rajan Jaiswal, N. C. Furuvik, Britt M. E. Moldestad

{"title":"Experimental and computational study on the effect of ash deposition on fluid dynamic behavior in a bubbling fluidized bed gasifier","authors":"R. Thapa, S. Thapa, Rajan Jaiswal, N. C. Furuvik, Britt M. E. Moldestad","doi":"10.3384/ecp20170170","DOIUrl":"https://doi.org/10.3384/ecp20170170","url":null,"abstract":"The effect of ash deposition on fluid dynamic behavior in a fluidized bed gasification reactor has been studied using experimental and computational methods. The experiments were carried out using sand particles as bed material and air as a fluidizing agent. A 3D computational model has been developed for a bubbling fluidized bed gasification reactor. First, the model was simulated using only sand particles and air. The results are compared with the experimental results. The comparison shows good agreement between the two sets of the results. The model was further used to study the effect of ash accumulation on the fluid dynamic properties of a biomass gasification reactor. The bed material was mixed with 2 and 4vol% of ash and simulated in cold conditions. Pressure drop increases and minimum fluidization velocity decreases with increasing the ash deposition in the bed. The model was also simulated for 2, 4, and 6 vol% of ash at a temperature of 800ºC. The minimum fluidization velocity was decreased in all the cases. The particle species concentration shows the ash particles start to segregate at the minimum fluidization condition and are totally separated at higher velocities. The bubble behavior of the bed is not effected by ash deposition.","PeriodicalId":179867,"journal":{"name":"Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115617538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Models for control of thermal energy in buildings 建筑热能控制模型

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden Pub Date : 2019-01-24 DOI: 10.3384/ecp2017059

Casper Amandus Johansen, B. Lie, Nils-Olav Skeie

{"title":"Models for control of thermal energy in buildings","authors":"Casper Amandus Johansen, B. Lie, Nils-Olav Skeie","doi":"10.3384/ecp2017059","DOIUrl":"https://doi.org/10.3384/ecp2017059","url":null,"abstract":"A large fraction of the world’s energy production is used for HVAC in buildings. It is therefore important to develop improved strategies for the efficient use of energy in buildings. Storage of intermittent energy production is important; storage as hot water in water tanks is the most common way to store energy in private homes/ smaller apartment complexes. Finding good models for building thermal behavior is an important part of developing building energy management systems (BEMS) that are capable of reducing energy consumption for space heating through model predictive control (MPC). In this paper, previous models of temperature dynamics in hot water tanks are considered, and a simple well mixed tank model is compared with a model describing a more realistic stratified temperature distribution. Two models are fitted to experimental data from a hot water tank. Description of temperature stratification requires a distributed model, but a relatively low order discretized model suffices to describe the important effect while simultaneously being useful for BEMS. A suitable hot water tank model in combination with weather forecast enables temperature estimation and prediction in MPC, and allows for finding a suitable water temperature at minimal energy consumption.","PeriodicalId":179867,"journal":{"name":"Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114155155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Surrogate and Hybrid Models for Control 控制的代理模型和混合模型

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden Pub Date : 2019-01-24 DOI: 10.3384/ecp201701

B. Lie

引用次数: 3

Building occupation modelling using motion sensor data 使用运动传感器数据的建筑占用建模

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden Pub Date : 2019-01-24 DOI: 10.3384/ecp2017043

Nils-Olav Skeie, Jørund Martinsen

引用次数: 0

On-line Monitoring of Viscous Properties of Anti-icing Fluid Based 基于防冰液粘性特性的在线监测

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden Pub Date : 2019-01-24 DOI: 10.3384/ecp2017026

M. Halstensen, J. Lundberg, Per Ivan Januschas, Hans-Petter Halvorsen

引用次数: 2

Comparison and analysis of magnetic noise and drive losses using different PWM methods (1165) 使用不同PWM方法的磁噪声和驱动损耗的比较与分析(1165)

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden Pub Date : 2019-01-24 DOI: 10.3384/ecp2017032

Torbjörn Trostén, H. Mosskull, D. Jansson, M. Azaza, E. Dahlquist

引用次数: 0

Sensor placement and parameter identi?ability in grey-box models of building thermal behaviour 传感器位置和参数识别?建筑热行为灰盒模型的能力

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden Pub Date : 2019-01-24 DOI: 10.3384/ecp2017051

O. M. Brastein, Roshan Sharma, Nils-Olav Skeie

{"title":"Sensor placement and parameter identi?ability in grey-box models of building thermal behaviour","authors":"O. M. Brastein, Roshan Sharma, Nils-Olav Skeie","doi":"10.3384/ecp2017051","DOIUrl":"https://doi.org/10.3384/ecp2017051","url":null,"abstract":"Building Energy Management systems can reduce energy consumption for space heating in existing buildings, by utilising Model Predictive Control. In such applications, good models of building thermal behaviour is important. A popular method for creating such models is creating Thermal networks, based cognitively on naive physical information about the building thermal behaviour. Such models have lumped parameters which must be calibrated from measured temperatures and weather conditions. Since the parameters are calibrated, it is important to study the identifiability of the parameters, prior to analysing them as physical constants derived from the building structure. By utilising a statistically founded parameter estimation method based on maximising the likelihood function, identifiability analysis can be performed using the Profile Likelihood method. In this paper, the effect of different sensor locations with respect to the buildings physical properties is studied by utilising likelihood profiles for identifiability analysis. The extended 2D profile likelihood method is used to compute two-dimensional profiles which allows diagnosing parameter inter-dependence, in addition to analysing the identifiability. The 2D profiles are compared with confidence regions computed based on the Hessian.","PeriodicalId":179867,"journal":{"name":"Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125622556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Structural analysis in Julia for dynamic systems in OpenModelica OpenModelica动态系统的Julia结构分析

Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden Pub Date : 2019-01-24 DOI: 10.3384/ecp2017017

Liubomyr Vytvytskyi, B. Lie

{"title":"Structural analysis in Julia for dynamic systems in OpenModelica","authors":"Liubomyr Vytvytskyi, B. Lie","doi":"10.3384/ecp2017017","DOIUrl":"https://doi.org/10.3384/ecp2017017","url":null,"abstract":"In control theory for dynamic systems, the information about observability and controllability of states plays a key role to evaluate the possibility to observe states from outputs, and use inputs to move states to a desired position, respectively. Th automatic determination of observability and controllability is possible, in particular for linear models where typically observability and controllability grami-ans are considered. In the case of large scale systems, e.g., complex models of regional energy systems, standard analysis becomes challenging. For large scale systems, structural analysis based on directed graphs is an interesting alternative: structural observability (or: controlla-bility) is a necessary requirement for actual observability (or: controllability). Directed graphs can be set up directly for linear models, but can also be extracted from nonlinear models. Modelica is a suitable language for describing large scale models, but does not support graph algorithms. One possibility is to integrate the Modelica model into a language supporting graph algorithms, e.g., Julia: this integration can be done using package OMJulia which works with the free tool OpenModelica. OMJulia does not give direct access to the nonlinear model in Modelica, but a linear model approximation can be extracted and used for setting up the system graph. In this study, an experimental implementation of automated structural analysis is done in Julia using the LightGraphs.jl package. As an example, this structural analysis is tested on hydropower models of different complexity that are modelled in OpenModelica using our in-house hydropower Modelica library — OpenHPL, where different models for hydropower systems are assembled.","PeriodicalId":179867,"journal":{"name":"Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129801479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0