(Redirected from Building energy simulation)
Building performance simulation model with input and some resulting output
EnergyPlus is funded by the U.S. Department of Energy’s (DOE) Building Technologies Office (BTO), and managed by the National Renewable Energy Laboratory (NREL). EnergyPlus is developed in collaboration with NREL, various DOE National Laboratories, academic institutions, and private firms.
Building performance simulation (BPS) is the replication of aspects of building performance using a computer-based, mathematical model created on the basis of fundamental physical principles and sound engineering practice. The objective of building performance simulation is the quantification of aspects of building performance which are relevant to the design, construction, operation and control of buildings.[1] Building performance simulation has various sub-domains; most prominent are thermal simulation, lighting simulation, acoustical simulation and air flow simulation. Most building performance simulation is based on the use of bespoke simulation software. Building performance simulation itself is a field within the wider realm of scientific computing.
Introduction[edit]
From a physical point of view, a building is a very complex system, influenced by a wide range of parameters. A simulation model is an abstraction of the real building which allows to consider the influences on high level of detail and to analyze key performance indicators without cost-intensive measurements. BPS is a technology of considerable potential that provides the ability to quantify and compare the relative cost and performance attributes of a proposed design in a realistic manner and at relatively low effort and cost. Energy demand, indoor environmental quality (incl. thermal and visual comfort, indoor air quality and moisture phenomena), HVAC and renewable system performance, urban level modeling, building automation, and operational optimization are important aspects of BPS.[2][3][4]
Over the last six decades, numerous BPS computer programs have been developed. The most comprehensive listing of BPS software can be found in the BEST directory.[5] Some of them only cover certain parts of BPS (e.g. climate analysis, thermal comfort, energy calculations, plant modeling, daylight simulation etc.). The core tools in the field of BPS are multi-domain, dynamic, whole-building simulation tools, which provide users with key indicators such as heating and cooling load, energy demand, temperature trends, humidity, thermal and visual comfort indicators, air pollutants, ecological impact and costs.[4][6]
A typical building simulation model has inputs for local weather; building geometry; building envelope characteristics; internal heat gains from lighting, occupants and equipment loads; heating, ventilation, and cooling (HVAC) system specifications; operation schedules and control strategies.[2] The ease of input and accessibility of output data varies widely between BPS tools. Advanced whole-building simulation tools are able to consider almost all of the following in some way with different approaches.
Necessary input data for a whole-building simulation:
- Climate: ambient air temperature, relative humidity, direct and diffuse solar radiation, wind speed and direction
- Site: location and orientation of the building, shading by topography and surrounding buildings, ground properties
- Geometry: building shape and zone geometry
- Envelope: materials and constructions, windows and shading, thermal bridges, infiltration and openings
- Internal gains: lights, equipment and occupants including schedules for operation/occupancy
- Ventilation system: transport and conditioning (heating, cooling, humidification) of air
- Room units: local units for heating, cooling and ventilation
- Plant: Central units for transformation, storage and delivery of energy to the building
- Controls: for window opening, shading devices, ventilation systems, room units, plant components
Some examples for key performance indicators:
- Temperature trends: in zones, on surfaces, in construction layers, for hot or cold water supply or in double glass facades
- Comfort indicators: like PMV and PPD, radiant temperature asymmetry, CO2-concentration, relative humidity
- Heat balances: for zones, the whole building or single plant components
- Load profiles: for heating and cooling demand, electricity profile for equipment and lighting
- Energy demand: for heating, cooling, ventilation, light, equipment, auxiliary systems (e.g. pumps, fans, elevators)
- Daylight availability: in certain zone areas, at different time points with variable outside conditions
Other use of BPS software
- System sizing: for HVAC components like air handling units, heat exchanger, boiler, chiller, water storage tanks, heat pumps and renewable energy systems.
- Optimizing control strategies: Controller setup for shading, window opening, heating, cooling and ventilation for increased operation performance.
History[edit]
The history of BPS is approximately as long as that of computers. The very early developments in this direction started in the late 50's and early 60's in the United States and Sweden. During this period, several methods had been introduced for analyzing single system components (e.g. gas boiler) using steady state calculations.The very first reported simulation tool for buildings was BRIS, introduced in 1963 by the Royal Institute of Technology in Stockholm.[7] Until the late 60's, several models with hourly resolution had been developed focusing on energy assessments and heating/cooling load calculations. This effort resulted in more powerful simulation engines released in the early 70's, among those were BLAST, DOE-2, ESP-r, HVACSIM+ and TRNSYS.[8] In the United States, the 1970's energy crisis intensified these efforts, as reducing the energy consumption of buildings became an urgent domestic policy interest. The energy crisis also initiated development of U.S. building energy standards, beginning with ASHRAE 90-75.[9]
The development of building simulation represents a combined effort between academia, governmental institutions, industry, and professional organizations. Over the past decades the building simulation discipline has matured into a field that offers unique expertise, methods and tools for building performance evaluation. Several review papers and state of the art analysis were carried out during that time giving an overview about the development.[10][11][12]
In the 1980s, a discussion about future directions for BPS among a group of leading building simulation specialists started. There was a consensus that most of the tools, that had been developed until then, were too rigid in their structure to be able to accommodate the improvements and flexibility that would be called for in the future.[13] Around this time, the very first equation-based building simulation environment ENET[14] was developed, which provided the foundation of SPARK. In 1989, Sahlin and Sowell presented a Neutral Model Format (NMF) for building simulation models, which is used today in the commercial software IDA ICE.[15] Four years later, Klein introduced the Engineering Equation Solver (EES)[16] and in 1997, Mattsson and Elmqvist reported on an international effort to design Modelica.[17]
BPS still presents challenges relating to problem representation, support for performance appraisal, enabling operational application, and delivering user education, training, and accreditation. Clarke (2015) describes a future vision of BPS with the following, most important tasks which should be addressed by the global BPS community.[18]
- Better concept promotion
- Standardization of input data and accessibility of model libraries
- Standard performance assessment procedures
- Better embedding of BPS in practice
- Operational support and fault diagnosis with BPS
- Education, training, and user accreditation
Accuracy[edit]
In the context of building simulation models, error refers to the discrepancy between simulation results and the actual measured performance of the building. There are normally occurring uncertainties in building design and building assessment, which generally stem from approximations in model inputs, such as occupancy behavior. Calibration refers to the process of 'tuning' or adjusting assumed simulation model inputs to match observed data from the utilities or Building Management System (BMS).[19][20][21]
The number of publications dealing with accuracy in building modeling and simulation increased significantly over the past decade. Many papers report large gaps between simulation results and measurements,[22][23][24][25] while other studies show that they can match very well.[26][27][28] The reliability of results from BPS depends on many different things, e.g. on the quality of input data,[29] the competence of the simulation engineers[30] and on the applied methods in the simulation engine.[31][32] An overview about possible causes for the widely discussed performance gap from design stage to operation is given by de Wilde (2014) and a progress report by the Zero Carbon Hub (2013). Both conclude the factors mentioned above as the main uncertainties in BPS.[33][34]
ASHRAE Standard 140-2017 'Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs (ANSI Approved)' provides a method to validate the technical capability and range of applicability of computer programs to calculate thermal performance.[35] ASHRAE Guideline 4-2014 provides performance indices criteria for model calibration.[36] The performance indices used are normalized mean bias error (NMBE), coefficient of variation (CV) of the root mean square error (RMSE), and R2 (coefficient of determination). ASHRAE recommends a R2 greater than 0.75 for calibrated models. The criteria for NMBE and CV RMSE depends on if measured data is available at a monthly or hourly timescale.
Technological aspects[edit]
Given the complexity of building energy and mass flows, it is generally not possible to find an analytical solution, so the simulation software employs other techniques, such as response function methods, or numerical methods in finite differences or finite volume, as an approximation.[2] Most of today's whole building simulation programs formulate models using imperative programming languages. These languages assign values to variables, declare the sequence of execution of these assignments and change the state of the program, as is done for example in C/C++, Fortran or MATLAB/Simulink. In such programs, model equations are tightly connected to the solution methods, often by making the solution procedure part of the actual model equations.[37] The use of imperative programming languages limits the applicability and extensibility of models. More flexibility offer simulation engines using symbolic Differential Algebraic Equations (DAEs) with general purpose solvers that increase model reuse, transparency and accuracy. Since some of these engines have been developed for more than 20 years (e.g. IDA ICE) and due to the key advantages of equation-based modeling, these simulation engines can be considered as state of the art technology.[38][39]
Applications[edit]
Building simulation models may be developed for both new or existing buildings. Major use categories of building performance simulation include:[3]
- Architectural Design: quantitatively compare design or retrofit options in order to inform a more energy-efficient building design
- HVAC Design: calculate thermal loads for sizing of mechanical equipment and help design and test system control strategies
- Building Performance Rating: demonstrate performance-based compliance with energy codes, green certification, and financial incentives
- Building Stock Analysis: support development of energy codes and standards and plan large scale energy efficiency programs
- CFD in buildings: simulation of boundary conditions like surface heat fluxes and surface temperatures for a following CFD study of the situation[40]
Software tools[edit]
There are hundreds of software tools available for simulating the performance of buildings and building subsystems, which range in capability from whole-building simulations to model input calibration to building auditing. Among whole-building simulation software tools, it is important to draw a distinction between the simulation engine, which dynamically solves equations rooted in thermodynamics and building science, and the modeler application (interface).[6]
In general, BPS software can be classified into[41]
- Applications with integrated simulation engine (e.g. EnergyPlus, ESP-r, TAS, IES-VE, IDA ICE)
- Software that docks to a certain engine (e.g. Designbuilder, eQuest, RIUSKA, Sefaira)
- Plugins for other software enabling certain performance analysis (e.g. DIVA for Rhino, Honeybee, Autodesk Green Building Studio)
Contrary to this presentation, there are some tools that in fact do not meet these sharp classification criteria, such as ESP-r which can also be used as a modeler application for EnergyPlus[42] and there are also other applications using the IDA simulation environment,[43] which makes 'IDA' the engine and 'ICE' the modeler. Most modeler applications support the user with a graphical user interface to make data input easier. The modeler creates an input file for the simulation engine to solve. The engine returns output data to the modeler application or another visualization tool which in turn presents the results to the user. For some software packages, the calculation engine and the interface may be the same product. The table below gives an overview about commonly used simulation engines and modeler applications for BPS.[41][44]
Simulation engine | Developer | first Release | Technology | Modeling Language | License | latest Version | Modeler applications and GUI |
---|---|---|---|---|---|---|---|
ApacheSim[45] | Integrated Environmental Solutions Ltd., UK | Commercial | 6.0 | VE 2018[46] | |||
Carrier HAP[47] | United Technologies, US | Commercial | 5.11 | Carrier HAP | |||
DOE-2[48] | James J. Hirsch & Associates, US | 1978 | Freeware | 2.2 | eQuest,[49] RIUSKA,[50] EnergyPro,[51] GBS[52] | ||
Energy+[53] | Lawrence Berkeley National Laboratory, US | 2001 | Freeware | 8.9.0 | DesignBuilder,[54] OpenStudio,[55] Many other[56] | ||
ESP-r[57] | University of Strathclyde, UK | 1974 | Freeware | 11.11 | ESP-r | ||
IDA[39] | EQUA Simulation AB, SE | 1998 | DAE | NMF, Modelica | Commercial | 4.8 | ICE,[39] ESBO[58] |
SPARK[59] | Lawrence Berkeley National Laboratory, US | 1986 | DAE | Freeware | 2.01 | VisualSPARK | |
TAS[60] | Environmental Design Solutions Limited, UK | Commercial | 9.4.4 | TAS 3D Modeler | |||
TRNSYS[61] | University of Wisconsin-Madison, US | 1975 | FORTRAN, C/C++ | Commercial | 18.0 | Simulation Studio,[62] TRNBuild |
BPS in practice[edit]
Since the 90's, building performance simulation has undergone the transition from a method used mainly for research to a design tool for mainstream industrial projects. However, the utilization in different countries still varies greatly. Building certification programs like LEED (USA), BREEAM (UK) or DGNB (Germany) showed to be a good driving force for BPS to find broader application. Also, national building standards that allow BPS based analysis are of good help for an increasing industrial adoption, such as in the United States (ASHRAE 90.1),[63] Sweden (BBR),[64] Switzerland (SIA)[65] and the United Kingdom (NCM).[66]
The Swedish building regulations are unique in that computed energy use has to be verified by measurements within the first two years of building operation. Since the introduction in 2007, experience shows that highly detailed simulation models are preferred by modelers to reliably achieve the required level of accuracy. Furthermore, this has fostered a simulation culture where the design predictions are close to the actual performance. This in turn has led to offers of formal energy guarantees based on simulated predictions, highlighting the general business potential of BPS.[67]
Performance-based compliance[edit]
In a performance-based approach, compliance with building codes or standards is based on the predicted energy use from a building simulation, rather than a prescriptive approach, which requires adherence to stipulated technologies or design features. Performance-based compliance provides greater flexibility in the building design as it allows designers to miss some prescriptive requirements if the impact on building performance can be offset by exceeding other prescriptive requirements.[68] The certifying agency provides details on model inputs, software specifications, and performance requirements.
The following is a list of U.S. based energy codes and standards that reference building simulations to demonstrate compliance:
- International Energy Conservation Code (IECC)
- Leadership in Energy and Environmental Design (LEED)
- Green Globes
- EnergyStar Multifamily High rise Program
- Passive House Institute US (PHIUS)
Professional associations and certifications[edit]
- Professional associations
- International Building Performance Simulation Association (IBPSA)[69]
- American Society of Heating, Refrigerating, and Air-conditioning Engineers (ASHRAE)[63]
- Certifications
- BEMP - Building Energy Modeling Professional, administered by ASHRAE[70]
- BESA - Certified Building Energy Simulation Analyst, administered by AEE[71]
See also[edit]
- Cove.Tool, Building performance simulation software
References[edit]
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- ^ abcClarke, J. A. (2001). Energy simulation in building design (2nd ed.). Oxford: Butterworth-Heinemann. ISBN978-0750650823. OCLC46693334.
- ^ abBuilding performance simulation for design and operation. Hensen, Jan., Lamberts, Roberto. Abingdon, Oxon: Spon Press. 2011. ISBN9780415474146. OCLC244063540.CS1 maint: others (link)
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- ^Dodoo, Ambrose; Tettey, Uniben Yao Ayikoe; Gustavsson, Leif (2017). 'Influence of simulation assumptions and input parameters on energy balance calculations of residential buildings'. Energy. 120: 718–730. doi:10.1016/j.energy.2016.11.124.
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- ^Nageler, P.; Schweiger, G.; Pichler, M.; Brandl, D.; Mach, T.; Heimrath, R.; Schranzhofer, H.; Hochenauer, C. (2018). 'Validation of dynamic building energy simulation tools based on a real test-box with thermally activated building systems (TABS)'. Energy and Buildings. 168: 42–55. doi:10.1016/j.enbuild.2018.03.025.
- ^Choi, Joon-Ho (2017). 'Investigation of the correlation of building energy use intensity estimated by six building performance simulation tools'. Energy and Buildings. 147: 14–26. doi:10.1016/j.enbuild.2017.04.078.
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- ^'Closing the Gap Bewteen Design and As-Built Performance'(PDF). www.zerocarbonhub.org. Zero Carbon Hub. July 2013. Retrieved 2017-06-30.
- ^ASHRAE (2017). ASHRAE/ANSI Standard 140-2017--Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs. Atlanta, GA: American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc.
- ^ASHRAE (2014). Guideline 14-2014 Measurement of Energy Demand Savings; Technical Report. Atlanta, GA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
- ^Wetter, Michael; Bonvini, Marco; Nouidui, Thierry S. (2016-04-01). 'Equation-based languages – A new paradigm for building energy modeling, simulation and optimization'. Energy and Buildings. 117: 290–300. doi:10.1016/j.enbuild.2015.10.017.
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- ^Tian, Wei; Han, Xu; Zuo, Wangda; Sohn, Michael D. (2018). 'Building energy simulation coupled with CFD for indoor environment: A critical review and recent applications'. Energy and Buildings. 165: 184–199. doi:10.1016/j.enbuild.2018.01.046.
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- ^'Exporting ESP-r models to E+ .idf files'. Answered question in the ESP-r support forum. Retrieved 2017-07-04.
- ^'IDA Tunnel'. Software 'Tunnel' uses IDA simulation environment. Retrieved 2017-07-04.
- ^Judkoff, Ron (2008). Annex 43/Task 34 Final Task Management Report - Testing and Validation of Building Energy Simulation Tools. International Energy Agency (IEA).
- ^Integrated Environmental Solutions, Ltd (2017). 'APACHESIM'. Retrieved 2017-11-07.
- ^'VE2018 Website'. Retrieved 2018-09-26.
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- ^Lokmanhekim, M.; et al. (1979). 'DOE-2: a new state-of-the-art computer program for the energy utilization analysis of buildings'. Lawrence Berkeley Lab. Report CBC-8977.
- ^Hirsch, Jeff. 'eQUEST'. doe2.com. Retrieved 2017-11-07.
- ^Granlund Consulting Oy. 'RIUSKA Website'. Retrieved 2018-04-03.
- ^'EnergySoft – World Class Building Energy Analysis Software'. www.energysoft.com. Retrieved 2017-11-07.
- ^'Green Building Studio'. gbs.autodesk.com. Retrieved 2017-11-07.
- ^US Departement of Energy's, Building Technology office. 'Energy+ Homepage'. Retrieved 2018-04-03.
- ^Tindale, A (2005). 'Designbuilder Software'. Design-Builder Software Ltd.
- ^Guglielmetti, Rob; et al. (2011). 'OpenStudio: An Open Source Integrated Analysis Platform'(PDF). Proceedings of Building Simulation 2011: 12th Conference of International Building Performance Simulation Association: 442–449.
- ^BEST directory. 'List of graphical user interfaces for Energy+'. Retrieved 2018-04-03.
- ^'ESP-r | University of Strathclyde'. www.strath.ac.uk. Retrieved 2017-11-08.
- ^EQUA Simulation AB. 'IDA ESBO Homepage'. Retrieved 2018-04-03.
- ^LBNL, US Departement of Energy. 'Project SPARK'. Retrieved 2018-04-03.
- ^'EDSL TAS website'. Retrieved 2018-04-03.
- ^Beckman, William A.; Broman, Lars; Fiksel, Alex; Klein, Sanford A.; Lindberg, Eva; Schuler, Mattias; Thornton, Jeff (1994). 'TRNSYS The most complete solar energy system modeling and simulation software'. Renewable Energy. 5 (1–4): 486–488. doi:10.1016/0960-1481(94)90420-0.
- ^'Manual for Simulation Studio'(PDF). Retrieved 2018-03-29.
- ^ ab'Home | ashrae.org'. www.ashrae.org. Retrieved 2017-11-08.
- ^'BBR - Swedish building regulation'. Retrieved 2018-03-29.
- ^'Swiss society of architects and engineers (SIA)'. Retrieved 2018-03-29.
- ^'UKs National Calculation Method'. Retrieved 2018-03-29.
- ^'Swedish code summarized in global performance network'. Retrieved 2018-03-29.
- ^Senick, Jennifer. 'A new paradigm for building codes'. cbei.psu.edu. Retrieved 2017-11-07.
- ^'IBPSA-USA'. IBPSA-USA. Retrieved 13 June 2014.
- ^'Building Energy Modeling Professional Certification'. ashrae.org. ASHRAE. Retrieved 2018-04-03.
- ^'Certified Building Energy Simulation Analyst'. aeecenter.org. Association of Energy Engineers. 2016-08-04. Retrieved 2018-04-03.
External links[edit]
Solar Energy Simulation Software
- Bldg-sim mailing list for building simulation professionals: http://lists.onebuilding.org/listinfo.cgi/bldg-sim-onebuilding.org
- Simulation modeling instruction and discussion: http://energy-models.com/forum
Retrieved from 'https://en.wikipedia.org/w/index.php?title=Building_performance_simulation&oldid=915959926'
The following is a list of notable computer simulationsoftware.
Free or open-source[edit]
- Advanced Simulation Library - open-source hardware accelerated multiphysics simulation software.
- Algodoo - 2D physics simulator
- ASCEND - open-source equation-based modelling environment.
- Cantera - chemical kinetics package
- Celestia - a 3D astronomy program.
- CP2K - Open-source ab-initio molecular dynamics program
- DWSIM - an open-source CAPE-OPEN compliant chemical process simulator.
- Elmer - an open-source multiphysical simulation software for Windows/Mac/Linux.
- Facsimile - a free, open-source discrete-event simulation library.
- FreeFem++ - Free, open-source, multiphysics Finite Element Analysis (FEA) software.
- Freemat - a free environment for rapid engineering, scientific prototyping and data processing using the same language as MATLAB and GNU Octave.
- Galatea - a multi-agent, multi-programming language, simulation platform.
- GNU Octave - an open-source mathematical modeling and simulation software very similar to using the same language as MATLAB and Freemat.
- OpenModelica - an open source modeling environment based on Modelica the open standard for modeling software.
- JModelica.org is a free and open source software platform based on the Modelica modeling language
- Mobility Testbed - an open-source multi-agent simulation testbed for transport coordination algorithms.
- NetLogo - an open-source multi-agent simulation software
- ns-3 - an open-source network simulator.
- OpenFOAM - open-source software used for computational fluid dynamics (or CFD)
- OpenEaagles - multi-platform simulation framework to prototype and build simulation applications.
- Open Source Physics - an open-source Java software project for teaching and studying physics.
- OpenSim - an open-source software system for biomechanical modeling.
- Physics Abstraction Layer - an open-source physics simulation package.
- Project Chrono - an open-source multi-physics simulation framework.
- SageMath - a system for algebra and geometry experimentation via Python.
- Scilab - free open-source software for numerical computation and simulation similar to MATLAB/Simulink.
- Simantics System Dynamics – used for modelling and simulating large hierarchical models with multidimensional variables created in a traditional way with stock and flow diagrams and causal loop diagrams.
- SimPy - an open-source discrete-event simulation package based on Python.
- Simulation of Urban MObility - an open-source traffic simluation package.
- SOFA - an open-source framework for multi-physics simulation with an emphasis on medical simulation.
- SU2 code - an open-source framework for computational fluid dynamics simulation and optimal shape design.
- Step - an open-source two-dimensional physics simulation engine (KDE).
- Tortuga - an open-source software framework for discrete-event simulation in Java.
- UrbanSim – an open-source software to simulate land use, transportation and environmental planning.
Proprietary[edit]
- Adaptive Simulations - cloud based and fully automated CFD simulations.
- AGX Dynamics - realtime oriented multibody and multiphysics simulation engine.
- 20-sim - bond graph-based multi-domain simulation software.
- Actran - finite element-based simulation software to analyze the acoustic behavior of mechanical systems and parts.
- ADINA - engineering simulation software for structural, fluid, heat transfer, and multiphysics problems.
- ACSL and acslX - an advanced continuous simulation language.
- Simcenter Amesim - a platform to analyze multi-domain, intelligent systems and predict and optimize multi-disciplinary performance. Developed by Siemens PLM Software.
- ANSYS - engineering simulation.
- AnyLogic - a multi-method simulation modeling tool for business and science. Developed by The AnyLogic Company.
- APMonitor - a tool for dynamic simulation, validation, and optimization of multi-domain systems with interfaces to Python and MATLAB.
- Arena - a flowchart-based discrete event simulation software developed by Rockwell Automation
- Automation Studio - a fluid power, electrical and control systems design and simulation software developed by Famic Technologies Inc.
- Chemical WorkBench - a chemical kinetics simulation software tool developed by Kintech Lab.
- CircuitLogix - an electronics simulation software developed by Logic Design Inc.
- COMSOL Multiphysics - a predominantly finite element analysis, solver and simulation software package for various physics and engineering applications, especially coupled phenomena, or multi-physics.
- CONSELF - browser based CFD and FEA simulation platform.
- DX Studio - a suite of tools for simulation and visualization.
- Dymola - modeling and simulation software based on the Modelica language.
- Ecolego - a simulation software tool for creating dynamic models and performing deterministic and probabilistic simulations.
- EcosimPro - continuous and discrete modelling and simulation software.
- Enterprise Architect - a tool for simulation of UML behavioral modeling, coupled with Win32 user interface interaction.
- Enterprise Dynamics - a simulation software platform developed by INCONTROL Simulation Solutions.
- ExtendSim - simulation software for discrete event, continuous, discrete rate and agent-based simulation.
- FEATool Multiphysics - finite element physics and PDE simulation toolbox for MATLAB.
- Flexsim - discrete event simulation software.
- Fluent, Inc. - simulation software for fluid flow, turbulence, heat transfer, and reactions for industrial applications.
- GoldSim - simulation software for system dynamics and discrete event simulation, embedded in a Monte Carlo framework.
- HyperWorks - multi-discipline simulation software
- IDA ICE - equation-based (DAE) software for building performance simulation
- IES Virtual Environment (IESVE) - holistic building performance analysis and simulation software
- Isaac dynamics - dynamic process simulation software for conventional and renewable power plants.
- iThink - system dynamics and discrete event modeling software for business strategy, public policy, and education. Developed by isee systems.
- JMAG - simulation software for electric device design and development.
- Khimera - a chemical kinetics simulation software tool developed by Kintech Lab.
- Lanner WITNESS - a discrete event simulation platform for modelling processes and experimentation.
- Lanner L-SIM Server - Java-based simulation engine for simulating BPMN2.0 based process models.
- MADYMO – automotive and transport safety software developed by Netherlands Organization for Applied Scientific Research
- Maple - a general-purpose computer algebra system developed and sold commercially by Waterloo Maple Inc.
- MapleSim - a multi-domain modeling and simulation tool developed by Waterloo Maple Inc.
- MATLAB - a programming, modeling and simulation tool developed by MathWorks.
- Mathematica - a computational software program based on symbolic mathematics, developed by Wolfram Research.
- Micro Saint Sharp - a general purpose discrete event software tool using a graphical flowchart approach and on the C# language, developed by Alion Science and Technology.
- ModelCenter - a framework for integration of third-party modeling and simulation tools/scripts, workflow automation, and multidisciplinary design analysis and optimization from Phoenix Integration.
- NEi Nastran - software for engineering simulation of stress, dynamics, and heat transfer in structures.
- NI Multisim - an electronic schematic capture and simulation program.
- Plant Simulation - plant, line and process simulation and optimization software, developed by Siemens PLM Software.
- PLECS - a tool for system-level simulations of electrical circuits. Developed by Plexim.
- PRO/II - software for steady state chemical process simulation and extensively used by oil and gas refineries.
- Project Team Builder - a project management simulator used for training and education.
- ProLB - a computational fluid dynamics simulation software based on the Lattice Boltzmann method.
- PSF Lab - calculates the point spread function of an optical microscope under various imaging conditions based on a rigorous vectorial model.
- RoboLogix - robotics simulation software developed by Logic Design Inc.
- Ship Simulator - a vehicle simulation computer game by VSTEP which simulates maneuvering various ships in different environments.
- Simcad Pro - Process simulation software with On-The-Fly model changes while the simulation is running. Lean analysis, VR, and physics. Developed by CreateASoft, Inc. Chicago USA
- SimEvents - a part of MathWorks which adds discrete event simulation to the MATLAB/Simulink environment.
- SimScale - a web-based simulation platform, with CFD, FEA, and thermodynamics capabilities.
- SIMUL8 - software for discrete event or process based simulation.
- Simulations Plus - modeling and simulation software for pharmaceutical research
- SimulationX - modeling and simulation software based on the Modelica language.
- Simulink - a tool for block diagrams, electrical mechanical systems and machines from MathWorks.
- SRM Engine Suite - engineering tool used for simulating fuels, combustion and exhaust gas emissions in IC engine applications.
- STELLA - system dynamics and discrete event modeling software for business strategy, public policy, and education. Developed by isee systems.
- TRNSYS - software for dynamic simulation of renewable energy systems, HVAC systems, building energy use and both passive and active solar systems.
- Vensim - system dynamics and continuous simulation software for business and public policy applications.
- VisSim - system simulation and optional C-code generation of electrical, process, control, bio-medical, mechanical and UML State chart systems.
- Vortex (software) - a complete simulation platform featuring a realtime physics engine for rigid body dynamics, an image generator, desktop tools (Editor and Player) and more. Also available as Vortex Studio Essentials, a limited free version.
- Wolfram SystemModeler – modeling and simulation software based on the Modelica language.
- Working Model – a 2D dynamic simulator with connections to SolidWorks.(a demo, with SAVE disabled, is free)
- VisualSim Architect – an electronic system-level software for modeling and simulation of electronic systems, embedded software and semiconductors.
- zSpace – creates physical science applications
See also[edit]
References[edit]
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