Title

Determining Optimum Planting Schedule Using Diet Optimization and Advanced Crop Scheduling Models

Abstract

In this paper, optimum crop planting schedule that would minimize the equivalent system mass (ESM) of a bioregenerative advanced life support system (ALSS) is determined using an advanced crop scheduling model in conjunction with a diet optimization model. Mixed-integer linear programming (MILP) models are developed to determine crop scheduling and optimum diet for the crewmembers. Given the activity schedule of the crewmembers, the diet optimization module constructs a diet cycle of 20-30 days that would meet the necessary nutritional requirements observing a predetermined diet variety. In doing so the diet optimization tries to minimize the overall system ESM. Necessary biomass amounts calculated by this model are fed into the crop scheduling model as the demands. Given these demands and growth parameters for these crops, the crop scheduling model determines the best planting schedule that will optimize the system behavior, i.e., the one that would minimize ESM.

Description:11 pages

Comments

Presented at International Conference On Environmental Systems, July 2005, Rome, ITALY, Session: Biomass Production

Keywords

Crew Energy Requirements, Crew Activity Schedule, Mixed Integer Linear Programming, Crop Growth Gantt Charts

Date of this Version

July 2005

Identifier

ALS-NSCORT:p22

Publisher Identifier:

SAE Document Number: 2005-01-2815

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 2005 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/2005-01-2815. This article is available on CD-ROM at Purdue University's Engineering Library.

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