TY - JOUR
T1 - DEVELOPING SIMULATION-BASED COURSEWORK FOR ENERGY SUSTAINABILITY MODELLING
AU - Goudarzi, Navid
AU - Opadokun, Olamide
AU - Zhao, Wenbing
AU - Usta, Mustafa
AU - Liu, Xiongyi
AU - Lin, Qin
AU - Zhang, Wei
AU - Richter, Hanz
AU - Tao, Yong
PY - 2023/1/1
Y1 - 2023/1/1
N2 - The energy sector is the fastest-growing area in mechanical engineering, and it is optimal to prepare students for this growing niche of the job market. Modelling and simulation are increasingly used for system design in industry and research to finetune the design process and save on prototyping or testing costs. Correspondingly, energy modelling is an area of ever-growing relevance in the fields of mechanical and electrical engineering. However, there is a shortage of modelling and simulation programs in urban universities, which makes graduates of such schools less prepared for the energy job markets than their counterparts. To meet this need, a newly formed collaboration between the departments of Mechanical Engineering, Electrical Engineering and Computer Science, and Teacher Education at Cleveland State University is developing a graduate program concentrating in Modelling and Simulation in Sustainable Energy Systems (MS-SES) to better prepare students for increasing energy sustainability professional roles. Building information modelling is a topic of importance in the field of sustainability for future working professionals. Hence, one of the courses in this concentration will foster student learning by setting up and visualizing simulated energy models in buildings, using a combination of 3D modelling, fluid flow and temperature modelling, and virtual reality. This paper explores the design and learning outcomes of this educational project for students through a case study of a room in an office building with a heat source. The project-led learning plan is integrated with the fundamentals of modelling and simulation theory and data-driven modelling techniques such as machine learning. The results show promising integration of physics-based and data-driven models in support of education for energy sustainability in an extended range of domains from academia to industry.
AB - The energy sector is the fastest-growing area in mechanical engineering, and it is optimal to prepare students for this growing niche of the job market. Modelling and simulation are increasingly used for system design in industry and research to finetune the design process and save on prototyping or testing costs. Correspondingly, energy modelling is an area of ever-growing relevance in the fields of mechanical and electrical engineering. However, there is a shortage of modelling and simulation programs in urban universities, which makes graduates of such schools less prepared for the energy job markets than their counterparts. To meet this need, a newly formed collaboration between the departments of Mechanical Engineering, Electrical Engineering and Computer Science, and Teacher Education at Cleveland State University is developing a graduate program concentrating in Modelling and Simulation in Sustainable Energy Systems (MS-SES) to better prepare students for increasing energy sustainability professional roles. Building information modelling is a topic of importance in the field of sustainability for future working professionals. Hence, one of the courses in this concentration will foster student learning by setting up and visualizing simulated energy models in buildings, using a combination of 3D modelling, fluid flow and temperature modelling, and virtual reality. This paper explores the design and learning outcomes of this educational project for students through a case study of a room in an office building with a heat source. The project-led learning plan is integrated with the fundamentals of modelling and simulation theory and data-driven modelling techniques such as machine learning. The results show promising integration of physics-based and data-driven models in support of education for energy sustainability in an extended range of domains from academia to industry.
KW - computational fluid dynamics
KW - energy sustainability
KW - engineering education
KW - modelling and simulation
KW - virtual reality
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85207885722&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85207885722&origin=inward
U2 - 10.2495/ESUS230241
DO - 10.2495/ESUS230241
M3 - Article
SN - 1746-448X
VL - 261
SP - 281
EP - 292
JO - WIT Transactions on Ecology and the Environment
JF - WIT Transactions on Ecology and the Environment
ER -