Title

A Prototype Simulation Based Optimization Approach to Model and Design an Advanced Life Support System

Abstract

In this paper a SIMulation-based OPTimization (SIMOPT) approach is used to study the dynamics of Advanced Life Support System (ALSS). The SIMOPT architecture uses a Deterministic Optimization (DO) algorithm to optimize the overall ALS behavior by minimizing the re-supplies which are difficult to procure or transport, in conjunction with a simulation model which introduces uncertainty, i.e., randomness, to the system. DO algorithm is a detailed deterministic optimization model of ALSS, which is used to determine the values of strategic decisions, such as the crop growth area. An aggregate time-dependent mass balance model of ALSS and an aggregate steady state mass balance model of ALSS are developed as the simulation and optimization modules in SIMOPT, respectively. The ranges of acceptable values of strategic decisions, e. g., safety buffers for oxygen, edible food, water and carbon dioxide, in a given ALSS scenario are determined using SIMOPT which utilizes time series data mining methods.

Description:12 pages

Comments

Presented at International Conference On Environmental Systems, July 2003, Vancouver, BC, CANADA, Session: Food Processing

Keywords

Safety Buffers, Mars Environment Scenario, Crop Growth Dynamics

Date of this Version

July 2004

Identifier

ALS-NSCORT:p5

Publisher Identifier:

SAE Document Number: 2004-01-2576

Publisher

SAE International

ALS NSCORT Project Number

Project 15 - Simulation Based Optimization Approach to Model and Design an Advanced Life Support System

Project Lead

Seza Orcun

Language

English

ALS NSCORT Series

Published Materials

Administrative Contact

Dave Kotterman, dkotter@purdue.edu

Rights

Copyright 2004 SAE International. For additional information please visit the intellectual property section of the publisher's website: http://www.sae.org/about/intelproperty/ or the publisher's home page at: http://www.sae.org

Access

This article is not available through e-pubs. To purchase a copy of this article visit: http://www.sae.org/technical/papers/2004-01-2576. This article is available on microfiche at Purdue University's Engineering Library.

This document is currently not available here.

Share

COinS