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Simulation model for the closed plant experiment facility of CEEF
Koichi Abe1, Yoshio Ishikawa, Seishiro Kibe
1Department of Environmental Simulation, Institute for Environmental Sciences, Obuchi, Rokkasyo, Aomori, Japan. abe@ies.or.jp
Advances in Space Research : the Official Journal of the Committee on Space Research (COSPAR)
|September 24, 2005
Summary
A new simulation system is being developed to predict the behavior of the Closed Ecology Experiment Facilities (CEEF), a testbed for Controlled Ecological Life Support Systems (CELSS). This system will ensure operational schedules are safe and effective for complex life support experiments.
Area of Science:
- Space exploration technology
- Life support systems engineering
- Ecological simulation modeling
Background:
- The Closed Ecology Experiment Facilities (CEEF) serves as a crucial testbed for Controlled Ecological Life Support Systems (CELSS).
- CEEF integrates plant, animal, and human elements with physico-chemical regenerative systems for material circulation experiments.
- Complex CEEF operations necessitate meticulous advance scheduling to ensure system stability and safety.
Purpose of the Study:
- To develop the CEEF behavioral Prediction System (CPS) for validating operational schedules.
- To create a simulation model that accurately reflects CEEF's complex material circulation system.
- To ensure the reliability and safety of CELSS operations through predictive modeling.
Main Methods:
- Development of a flexible simulation algorithm for the CPS.
- Creation of a replicate simulation model for the Closed Plant Experiment Facility (CPEF) material circulation system.
- Segmentation of the CPEF system into 38 operational units for detailed modeling based on real-world specifications.
Main Results:
- A simulation model mirroring the material circulation system of the CPEF has been successfully developed.
- The simulation model incorporates 38 distinct units, each meticulously modeled.
- The developed models are integrated into a comprehensive system simulation.
Conclusions:
- The foundational steps for the CEEF behavioral Prediction System (CPS) have been established.
- The successful replication of the CPEF material circulation system is a key advancement for CPS.
- This work paves the way for robust operational schedule verification in complex CELSS environments.