Abstract

The project objective was to develop an online course to be taught to the maritime and multimodal infrastructure community including: transportation planners, maritime planners, infrastructure managers, Civil Engineers, and Industrial Engineers, on the use of trade-off analytics as a tool to assist them in their infrastructure development, management and preservation decision-making.Modules of this course can also be packaged into online webinars for practicing professionals. This course was developed using existing trade-off analytics resources and maritime case studies developed for the course.The course uses Multiple Objective Decision Analysis (MODA) with Value-Focused Thinking (VFT) and Optimization and to structure complex program asset management decisions requiring trade-offs between conflicting stakeholder objectives. The course focuses on framing decisions, identifying stakeholders, developing objectives and value measures, generating alternatives, developing a value model, developing a cost model, evaluating alternatives, identifying uncertainties, analyzing uncertainties, and making meaningful trade-offs between cost, value, and risk. The case studies and examples focus on maritime and multimodal infrastructures.The course was developed and taught in an online program, the University of Arkansas M.S. in Engineering Management in Fall of 2019.The complete set of course material are available through the MarTREC website for use by instructors at other universities and continuing education programs.

Abstract

Decision Support System (DSS) has been developed to evaluate the technical and economical feasibility of CO2 storage in the subsurface. The DSS performs a detailed, stochastic analysis of the technical and economical aspects of a CCS project, which consists of any number of CO2 sources and sinks plus the connecting pipeline network. The DSS uses the database of CO2 emission points and storage locations in Europe that has been compiled in the EU Geocapacity project. The system is a combination of an internet application, which visualises the database and allows the user to select sources and sinks and create a pipeline network, and an application to be run on a local computer, which performs a stochastic analysis of the costs of a CO2 capture, transport and storage system. The DSS provides not only an estimate of the total CCS cost, but also an analysis of the elements in the CCS chain (capture, compression, transport and storage), enabling a feasibility analysis on several levels. © 2009 Elsevier Ltd. All rights reserved.