TRNSYS as an Education Tool to Predict Indoor Environment Temperature for Undergraduate Students
- Conference
- Location
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Indianapolis, Indiana
- Publication Date
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June 15, 2014
- Start Date
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June 15, 2014
- End Date
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June 18, 2014
- ISSN
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2153-5965
- Conference Session
- Tagged Division
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Energy Conversion and Conservation
- Page Count
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12
- Page Numbers
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24.1282.1 - 24.1282.12
- DOI
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10.18260/1-2--23215
- Permanent URL
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https://peer.asee.org/23215
- Download Count
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508
Paper Authors
Ahmed Cherif Megri North Carolina A&T State University
Dr. Ahmed Cherif Megri, Associate Professor of Architectural Engineering (AE). He teaches capstone, lighting, electrical, HVAC and energy design courses. He is the ABET Coordinator for the AE Program. His research areas include airflow modeling, zonal modeling, energy modeling, and artificial intelligence modeling using the support vector machine learning approach. Dr. Megri holds a PhD degree from INSA at Lyon (France) in the area of Thermal Engineering and ”Habilitation” (HDR) degree from Pierre and Marie Curie University - Paris VI, Sorbonne Universities (2011) in the area of Engineering Sciences. Prior to his actual position, he was an Associate Professor at University of Wyoming (UW) and prior to that he was an Assistant Professor and the Director of the AE Program at Illinois Institute of Technology (IIT). He participated significantly to the development of the current architectural engineering undergraduate and master’s programs at IIT. During his stay at IIT, he taught thermal and fluids engineering (thermodynamics, heat transfer, and fluid mechanics), building sciences, physical performance of buildings, building enclosure, as well as design courses, such as HVAC, energy, plumbing, fire protection and lighting. Also, he supervises many courses in the frame of interprofessional projects (IPRO) program.
Areas of Interests:
- Zonal modeling approach,
- Integration zonal models/building energy simulation models,
- Zero Net Energy (ZNE) building,
- Airflow in Multizone Buildings & Smoke Control,
- Thermal Comfort & Indoor Air Quality,
- Predictive modeling and forecasting: Support Vector Machine (SVM) tools,
- Energy, HVAC, Plumbing & Fire Protection Systems Design,
- Computational Fluid Dynamic (CFD) Application in Building,
- BIM & REVIT: application to Architecture and Electrical/Lighting Design systems.
Abstract
TRNSYS Environment as a Teaching Tool to Predict Building and Systems EnergyPerformance for Undergraduate StudentsTRNSYS (TRaNsient SYStem) is an extremely flexible graphically based software environmentwith a modular structure that can be used to model and simulate the behavior of any transientsystems. While the vast majority of works done are focused on analyzing the performance andthermal behavior of thermal solar systems, mechanical and electrical energy building systems,TRNSYS is a multidisciplinary software that has been used for multiple applications anddiscipline, such as architecture, architectural, mechanical, electrical and biological engineering.Due to its modular structure and the high flexibility, TRNSYS can be used as an effective toolfor teaching engineering and architecture students the thermal behavior of building components,as well as building thermal envelope at an early stage. At the same time, they can experienceintegral planning processes firsthand.In this paper, we propose a methodology where students can build their own system, performnumerical experimentation and evaluate the results using TRNSYS environment. At least twocomprehensive case studies will be introduced and demonstrated.We discuss the process from students’ point of view, and the experience earned in modeling,design, experimentation, and also in written and oral communication skills. Future plans toevaluate the effectiveness of this capstone in term of learning outcomes.
Megri, A. C. (2014, June), TRNSYS as an Education Tool to Predict Indoor Environment Temperature for Undergraduate Students Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--23215
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