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CELSS-3D: a broad computer model simulating a controlled ecological life support system.

M A Schneegurt1, L A Sherman

  • 1Department of Biological Sciences, University of Notre Dame, IN 46556, USA.

Life Support & Biosphere Science : International Journal of Earth Space
|January 1, 1997
PubMed
Summary
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This study introduces CELSS-3D, a computer simulation for controlled ecological life support systems (CELSS). It models biological processes and atmospheric gases, aiding in designing sustainable life support for space missions.

Area of Science:

  • Space Exploration
  • Environmental Science
  • Computer Simulation

Background:

  • Controlled Ecological Life Support Systems (CELSS) are crucial for long-duration space missions.
  • Modeling biological and atmospheric dynamics within a CELSS is complex.
  • Previous models may not fully capture the intricate interactions within a CELSS.

Purpose of the Study:

  • To develop and present CELSS-3D, a dynamic, deterministic, and discrete computer simulation for CELSS.
  • To focus on the biological aspects and atmospheric gas concentrations (CO2, O2, N2) within a modular CELSS.
  • To utilize published data for model input and assess dietary options for crew sustenance.

Main Methods:

  • Utilized the IThink program with linear difference equations to model a modular CELSS.
Keywords:
NASA Discipline Life Support SystemsNon-NASA Center

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  • Incorporated submodels for crop chambers, food storage, crew, cyanobacteria, waste processing, and nitrogen reservoirs.
  • Employed a separate linear optimization program (What'sBest!) for vegetarian diet analysis.

    • Main Results:

    • Simulations were conducted over 3 years with a 1-hour time interval.
    • Dynamic changes in atmospheric gas concentrations under nominal conditions were illustrated.
    • The model successfully integrated various components of a CELSS, focusing on carbon, oxygen, and nitrogen flows.

    Conclusions:

    • CELSS-3D provides a robust framework for simulating CELSS performance.
    • The modular design facilitates testing of different configurations and failure scenarios.
    • This simulation tool aids in optimizing life support systems for future space exploration.