Using a Techno-Economic Model to Promote Consideration of Uncertainty in Bioengineering Design

Xuwen Xiang; James D. Sweeney; Natasha Mallette; Christine Kelly

Download Paper | Permalink

Conference: 2017 ASEE Annual Conference & Exposition
Location: Columbus, Ohio
Publication Date: June 24, 2017
Start Date: June 24, 2017
End Date: June 28, 2017
Conference Session: Development of Technical and Soft Skills in BME
Tagged Division: Biomedical
Page Count: 13
DOI: 10.18260/1-2--29069
Permanent URL: https://peer.asee.org/29069
Download Count: 574

Request a correction

Paper Authors

biography

Xuwen Xiang Oregon State University

visit author page

Xuwen is currently a doctoral candidate in Chemical Engineering at Oregon State University. He currently has research focused on techno-economic analysis of glucosamine and lipid from algae.

visit author page

biography

James D. Sweeney Oregon State University

visit author page

James D. Sweeney is Professor and Head of the School of Chemical, Biological and Environmental Engineering at Oregon State University. He received his Ph.D. and M.S. degrees in Biomedical Engineering from Case Western Reserve University in 1988 and 1983, respectively, and his Sc.B. Engineering degree (Biomedical Engineering) from Brown University in 1979. He is a Fellow of the American Institute for Medical and Biological Engineering and a Senior Member of IEEE and AIChE.

visit author page

author page

Natasha Mallette PhD Oregon State University

biography

Christine Kelly Oregon State University

visit author page

Dr. Kelly earned her BS in Chemical Engineering from the University of Arizona and her PhD in Chemical Engineering from the University of Tennessee. She served as an Assistant Professor for 6 years at Syracuse University, and has been an Associate Professor at Oregon State University in the School of Chemical, Biological and Environmental Engineering since 2004, where she also served for three and half years as the Associate Dean for Academic and Student Affairs of the College of Engineering.

visit author page

Download Paper | Permalink

Abstract

Decision making is an integral aspect of the engineering design process. Engineers solve complex open-ended design problems with a variety of technical and non-technical constraints. In many engineering courses this kind of decision making can lack realistic context and uncertainty in the information available to students. Developing instructional materials that expose students to and guiding them towards increased comfort and skill in tackling design problems with inherent uncertainty should be of interest to engineering educators with interests in design course development focused on incorporation of more authentic and realistic engineering practices.

A project was delivered in the first term of a three quarter, revitalized senior design sequence in a bioengineering program that includes instruction in both biomedical and bioprocessing engineering. The first term is the bioprocessing course, which is followed by a bioproduct design course, and then a hands-on prototyping course. Teams of three students in a class of 37 students used a comprehensive techno-economic model (developed in MatLab) to recommend theoretical investments in Fall 2016. The model is of an algae cultivation and downstream process to produce the nutraceutical glucosamine and a lipid co-product. Students varied an assortment of input parameters (technical, economic and variability) to obtain the product selling price given an internal rate of return from the model. Example inputs include growth rates, chitin content, recycle fraction, internal rate of return, equipment costs, raw material and utility costs, etc.

Students were asked to consider a variety of technological, economic, ethical, regulatory, and environmental constraints and concerns about the process and the product in their memo indicating a recommendation for investment. Options include proceeding with a detailed plant design, optimizing the design, pursuing further process development, allocating funds for specific research, abandoning the project, or other options. Student teams developed memos that explained their decision, the data used from the model, other data they obtained, and the justification for their decision. The memos and post project survey were analyzed to understand how the project met the objectives and to give insight on the research questions. We believe the authenticity and open-ended nature of the assignment gave students an opportunity to integrate material they have learned from a variety of technical and professional skill courses.

Citation
Format

Xiang, X., & Sweeney, J. D., & Mallette, N., & Kelly, C. (2017, June), Using a Techno-Economic Model to Promote Consideration of Uncertainty in Bioengineering Design Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--29069

TY - CPAPER
AB - Decision making is an integral aspect of the engineering design process. Engineers solve complex open-ended design problems with a variety of technical and non-technical constraints. In many engineering courses this kind of decision making can lack realistic context and uncertainty in the information available to students. Developing instructional materials that expose students to and guiding them towards increased comfort and skill in tackling design problems with inherent uncertainty should be of interest to engineering educators with interests in design course development focused on incorporation of more authentic and realistic engineering practices.

A project was delivered in the first term of a three quarter, revitalized senior design sequence in a bioengineering program that includes instruction in both biomedical and bioprocessing engineering. The first term is the bioprocessing course, which is followed by a bioproduct design course, and then a hands-on prototyping course.
Teams of three students in a class of 37 students used a comprehensive techno-economic model (developed in MatLab) to recommend theoretical investments in Fall 2016. The model is of an algae cultivation and downstream process to produce the nutraceutical glucosamine and a lipid co-product. Students varied an assortment of input parameters (technical, economic and variability) to obtain the product selling price given an internal rate of return from the model. Example inputs include growth rates, chitin content, recycle fraction, internal rate of return, equipment costs, raw material and utility costs, etc.

Students were asked to consider a variety of technological, economic, ethical, regulatory, and environmental constraints and concerns about the process and the product in their memo indicating a recommendation for investment. Options include proceeding with a detailed plant design, optimizing the design, pursuing further process development, allocating funds for specific research, abandoning the project, or other options. Student teams developed memos that explained their decision, the data used from the model, other data they obtained, and the justification for their decision. The memos and post project survey were analyzed to understand how the project met the objectives and to give insight on the research questions. We believe the authenticity and open-ended nature of the assignment gave students an opportunity to integrate material they have learned from a variety of technical and professional skill courses.

AU - Xuwen Xiang
AU - James D. Sweeney
AU - Natasha Mallette PhD
AU - Christine Kelly
CY - Columbus, Ohio
DA - 2017/06/24
PB - ASEE Conferences
TI - Using a Techno-Economic Model to Promote Consideration of Uncertainty in Bioengineering Design
UR - https://peer.asee.org/29069
DO - 10.18260/1-2--29069
ER -