An Advanced Scheduling Model for Crop Production in Bio-Regenerative Advanced Life Support (ALS) Systems

Abstract

In this work, a mixed-integer linear programming (MILP) model is developed for advanced scheduling of crop production in bio-regenerative ALS systems. The main objective of the model is to meet the edible biomass demand of the crew diet. In the meantime, it tries to minimize the variation in oxygen generated by crops via controlling planting areas and the planting timetable of the crops taking into account the variability in oxygen released by crops arising from different photoperiod requirements. The model tries to minimize the cost of regulating the level of oxygen and carbon dioxide within the tolerable range in the crew cabin. If, for example, there is excess oxygen in the crew cabin, then it should be removed at a cost, which may/should be different than re-supplying oxygen if there is a deficit. A similar scenario will apply for carbon dioxide. The model is also capable of keeping track of the loads of other key elements, including energy, humidity due to crop growth, etc., without taking them into account in deciding the schedule, as a first-cut model.

Comments

Presented at International Conference On Environmental Systems, July 2003, Vancouver, BC, CANADA, Session: Advanced Life Support and Systems Analysis I

Date of this Version

July 2003

Identifier

ALS-NSCORT:p2

Publisher Identifier:

SAE Document Number: 2003-01-2358

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 2003 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/2003-01-2358. This article is available on microfiche at Purdue University's Engineering Library.

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