BUILDING SIMULATION MODELS OF COMPLEX ECOLOGICAL SYSTEMS BY SUCCESSIVE COMPOSITION AND REUSING SIMULATION EXPERIMENTS

Author(s):  
Maria E. Pierce ◽  
Uwe Krumme ◽  
Adelinde M. Uhrmacher
2019 ◽  
pp. 48-54
Author(s):  
A. L. Korolev

The article discusses the methods and features of modeling random events. On this basis, the possibility of building simulation models and simulation experiments in a spreadsheet environment is shown. In the presented tasks, the characteristics of random events are considered: probability, frequency, probability distribution. The publication reflects the author’s personal experience of teaching the courses “Computer simulation”, “Modeling of processes and systems” in South Ural State University of Humanities and Education, as well as experience as an informatics teacher.


Buildings ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 242
Author(s):  
Christoph Schünemann ◽  
David Schiela ◽  
Regine Ortlepp

Can building performance simulation reproduce measured summertime indoor conditions of a multi-residential building in good conformity? This question is answered by calibrating simulated to monitored room temperatures of several rooms of a multi-residential building for an entire summer in two process steps. First, we did a calibration for several days without the residents being present to validate the building physics of the 3D simulation model. Second, the simulations were calibrated for the entire summer period, including the residents’ impact on evolving room temperature and overheating. As a result, a high degree of conformity between simulation and measurement could be achieved for all monitored rooms. The credibility of our results was secured by a detailed sensitivity analysis under varying meteorological conditions, shading situations, and window ventilation or room use in the simulation model. For top floor dwellings, a high overheating intensity was evoked by a combination of insufficient use of night-time window ventilation and non-heat-adapted residential behavior in combination with high solar gains and low heat storage capacities. Finally, the overall findings were merged into a process guideline to describe how a step-by-step calibration of residential building simulation models can be done. This guideline is intended to be a starting point for future discussions about the validity of the simplified boundary conditions which are often used in present-day standard overheating assessment.


2018 ◽  
Vol 23 ◽  
pp. 00009
Author(s):  
Ryszard Ewertowski

Training structures in flow stream play an important role in shaping flow and bed properties. Planning to introduce such training elements like groins or dikes into the river stream one need to know consequences they may introduce into flow field and bed shear stresses. These consequences can be investigated by laboratory experiments on hydraulic models or by numerical modelling using hydrodynamic simulation models. In the paper the second possibility is exploited by applying two-dimensional depth-averaged model for straight rectangular channel with a groyne. This paper contains the first part of the research results and it describes hydrodynamic background of the flow phenomenon, concentrating on hydrodynamic equations for depth-averaged flow, types of eddy viscosity method used and kind of boundary conditions applied. Based on the hydrodynamic descriptions, different simulation experiments have been conducted for the flow problem and the whole analysis of simulation results for flow in channel near groyne is contained in the second part of the research activity (Part II = Analysis of simulation).


1995 ◽  
Vol 38 (4) ◽  
pp. 457-462 ◽  
Author(s):  
Robert A. Hanneman

The use of computer simulation experiments as a tool for working with theories is not as widespread in sociology as it is in most scientific disciplines. This brief article explains how modeling is a distinctive activity from either “theory” or “empirical analysis” but how it informs both and connects them. Simulation models are artificial objects created to translate theoretical generalizations into specific scenarios involving states (variables and/or actors) and rates (the dynamic causal laws hypothesized to generate change over time in the states). Simulation models are analyzed to understand the full range of implications of theoretical statements as they apply to producing historical realizations under particular circumstances. Simulation analysis operates by a method of experimentation, unlike mathematical modeling and statistical modeling. The strengths and limitations of these three approaches to studying models are discussed, and suggested to be complementary rather than competitive with each other. Last, this article briefly points out some of the unique features of the exemplars that compose the remainder of this special issue of Sociological Perspectives.


2021 ◽  
Vol 2069 (1) ◽  
pp. 012135
Author(s):  
N D Svane ◽  
A Pranskunas ◽  
L B Lindgren ◽  
R L Jensen

Abstract The architecture, engineering, and construction (AEC) industry experiences a growing need for building performance simulations (BPS) as facilitators in the design process. However, inconsistent modelling practice and varying quality of export/import functions entail error-prone interoperability with IFC and gbXML data formats. Consequently, repeated manual modelling is still necessary. This paper presents a coupling module enabling a semi-automated extract of geometry data from the BIM software Revit and a further translation to a BPS input file using Revit Application Programming Interface (API) and visual programming in Dynamo. The module is tested with three test cases which shows promising results for fast and structured semi-automatic geometry modelling designed to fit today’s practice.


2020 ◽  
Vol 209 ◽  
pp. 109688 ◽  
Author(s):  
Elena Cuerda ◽  
Olivia Guerra-Santin ◽  
Juan José Sendra ◽  
Fco. Javier Neila

Author(s):  
Adriano O. Solis ◽  
Jenaro Nosedal-Sánchez ◽  
Ali Asgary ◽  
Francesco Longo ◽  
Beatrice Zaccaro

"After statistical analysis of the database of a fire department covering eight years of consecutive incident records from January 2009 to December 2016, we developed a modelling and simulation (M&S) approach that could be replicated for fire departments across Canada. Our M&S framework involved two different simulation models running on separate platforms: (i) an Incident Generation Engine, which simulates the ‘arrival’ of emergency incidents, and (ii) a Response Simulation Model. The first model is a discrete event simulation model using CPNTools 4.0, generating inputs for the second model, which is an agent-based simulation model developed using AnyLogic. We discuss the principal elements of the two simulation models, and report on findings from our simulation experiments."


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