Displaying all 5 results
- Conference Session
- Automation, Instrumentation, and Computer Simulations
- Collection
- 2016 ASEE Annual Conference & Exposition
- Authors
- Xavier Shastri Domnique Henry, University of Maryland, Eastern Shore; Madhumi Mitra Ph.D., University of Maryland, Eastern Shore; Abhijit Nagchaudhuri, University of Maryland, Eastern Shore; Lei Zhang, University of Maryland, Eastern Shore
- Tagged Divisions
- Energy Conversion and Conservation
. Life Skills Outcomes C.1 This project had an impact on my critical thinking skills? C.2 This project improved my ability to work in teams and resolve conflicts?C. Civic Responsibility Outcomes C.1 This experiential learning project provided benefits to the community? In what capacity? C.2 My appreciation for integrated STEM (Science, Technology, Engineering, and Mathematics) research grown?Q.1 What did you like best about the experiential learning project?Q.2 What did you like least about the experiential learning project?D. Interpersonal: Mentor Relation Outcomes C.1 The mentor relationship with my graduate supervisor-mentor met my work objectives, needs and expectations? Please explain: C.2 I met regularly with my supervisor-mentor C.3 My
- Conference Session
- Assessment, Course, and Curricular Development
- Collection
- 2016 ASEE Annual Conference & Exposition
- Authors
- Quinn Langfitt, Washington State University; Liv Haselbach P.E., Washington State University
- Tagged Divisions
- Energy Conversion and Conservation
theUSDA National Institute of Food and Agriculture, for funding part of this work. Appreciation isalso for other members of the Imagine Tomorrow Competition steering committee. Additionally,the authors thank Brandon Werner, Mina Yekkalar, Benjamin Nantasai, and Trace Sendele fortheir contributions.Bibliography1. Langfitt, Q., Haselbach, L., and Hougham, R. J. (2015). “Artifact-Based Energy Literacy Assessment Utilizing Rubric Scoring.” Journal of Professional Issues in Engineering Education and Practice, 141(2), C5014002.2. Langfitt, Q., Haselbach, L., and Hougham, R.J. (2015). “Refinement of an Energy Literacy Rubric for Artifact Assessment and Application to the Imagine Tomorrow High School Energy Competition.” Journal of
- Conference Session
- CAPSTONE (SENIOR) DESIGN AND UNDERGRADUATE PROJECTS
- Collection
- 2016 ASEE Annual Conference & Exposition
- Authors
- Herbert L. Hess, University of Idaho, Moscow; Edward James William Jr, Solved Engineering LLC
- Tagged Divisions
- Energy Conversion and Conservation
): (1) x In an artificial neuron, for each input w q a weight q is assigned. The neuron calculates the weighted sum z as shown in (2): (2) The output of the neuron is governed by the activation function, which acts as a threshold. Considering this, the output is given by (3): (3
- Conference Session
- Solar and Wind Energy-System Initiatives
- Collection
- 2016 ASEE Annual Conference & Exposition
- Authors
- Ulan Dakeev, Texas A&M University, Kingsville; Farzin Heidari, Texas A&M University, Kingsville; Faruk Yildiz, Sam Houston State University; Marija Dimitrovska, Texas A&M University, Kingsville; Kenan Baltaci, University of Wisconsin, Stout
- Tagged Divisions
- Energy Conversion and Conservation
Engineering Research and Innovation. ISSN: 2152- 4165, Vol 7, 1, 43-47 Dakeev, U., Mazumder, Q., Yildiz, F., Baltaci, K., (2015). “Design and Development of a New Small-Scale Wind Turbine Blade”. ASEE Annual Conference, 2015, Seattle Hansen, M.O.L., Sorensen, N. N. & Flay, R. G. J., (2000). “Effect of Placing a Diffuser around a Wind Turbine.” Wind Energy, 3, pp.207-213, 2000 Kosasih, B. & Tondelli, A., (2012). Experimental study of shrouded micro-wind turbine. Evolving Energy-IEF International Energy Congress. [Electronic version]. Procedia Engineering 49 (2012) 92-98
- Conference Session
- CAPSTONE (SENIOR) DESIGN AND UNDERGRADUATE PROJECTS
- Collection
- 2016 ASEE Annual Conference & Exposition
- Authors
- Robert McMasters P.E., Virginia Military Institute
- Tagged Divisions
- Energy Conversion and Conservation
from the cooling tower, so the following equations can be employed Q mstm (h5 h6 ) UATlm ma (h3 h4 ) mmu hmu (7)where mstm is the mass flow rate of the steam, U is the heat transfer coefficient for the condenser,A is the surface area of the condenser, and Tlm is the log-mean temperature difference of thecondenser. For convenience, and in order to make the equations solvable, the averagetemperature between T1 and T2 is given as being equal to T4, which would naturally vary with theother temperatures. The objective of the exercise is to generate a graph of powerplant efficiencyas a function of outdoor humidity for a given outdoor temperature. Since Equation (7) cannot besolved explicitly