Selen Aydogan

Aggregate System Level Material Analysis for Advanced Life Support Systems

In this paper, an aggregate system level modeling and analysis framework is proposed to facilitate the integration and design of advanced life support systems (ALSS). As in process design, the goal is to choose values for the degrees of freedom that achieve the best overall ALSS behavior without violating any system constraints. At the most fundamental level, this effort will identify the constraints and degrees of freedom associated with each subsystem and provide estimates of the system behavior and interactions involved in ALSS. This work is intended to be a starting point for developing insights into ALSS from a systems engineering point of view. At this level, simple aggregate static input/output mapping subsystem models from existing data and the NASA ALS BVAD document are used to debug the model and demonstrate feasibility.

Effect of different waste recovery systems on the overall waste generation rates for an Advanced Life Support System

This work demonstrates how studies of life support systems can be used to advance the understanding of environmental principles. Efficient waste recovery systems that are developed for the Advanced Life Support System used in space explorations can be utilised on Earth. As an example, we explored three different ALSS scenarios, each having different waste recovery technologies. The results are compared in terms of the overall waste generation rates. It is concluded that physicochemical waste recovery systems, with their low level of uncertainty in operating conditions and high recovery efficiencies, are the best choice for a 600 day mission to Mars.