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In recent years, with increased size of the manned space program and systems used in the programs, the role of computer simulations has increased. I have long used and developed independently several simulation tools for the design, operation, analysis, and optimization of the Life Support Systems (LSS). I recognized that the designer makes his/her own idea certain while building a simulation model on a computer. However, conventional simulation tools are not designed so that the interaction between the designer and a model building support environment is dynamically used to bring out a designer's idea. Therefore, in this paper, I consider the development of a conceptual design support tool in the design of the LSS, while focusing attention on the interaction between the simulation tool and the designer.

Closure experiments will be conducted using the Closed Plant Experiment Facility (CPEF) and the Closed Animal and Habitation Experiment Facility (CAHEF) of the Closed Ecology Experiment Facilities (CEEF). The CEEF behavioral Prediction System (CPS) has been developed to check the CEEF operation for the closure experiments in advance. For the development of CPS, a simulation program for CPEF had been developed and reported. A simulation program for CAHEF was developed, and combined with the simulation program for CPEF. This integrated simulation program was validated by data obtained from a habitation experiment conducted in CEEF.

A Regenerative Life Support System (RLSS) is a system that establishes self-sustained material recycling and circulation within a space base on the Moon or Mars. This is a large-scale and complicated system comprising a lot of components such as humans, plants and material circulation system. A RLSS contains many factors with uncertainty, such as dynamics of plants and humans, and failure and performance deterioration of devices. In addition, a RLSS is a large-scale and complicated system extending gradually. An environment with uncertainty or a large-scale and complicated system may not be properly addressed by a centralized system. In particular, such a system cannot always gather accurate information in one center in a frequently shifting environment, thus appropriate processing may be difficult. Therefore, we tried autonomous decentralization of information or decision-making using a Multi-Agent System (MAS).

For validation of operation schedules for the Closed Ecology Experiment Facilities (CEEF), development of the CEEF behavioral prediction system (CPS) has been started. The CPS will be simulated using the CEEF operation schedule. The CPS will gather data on quantities of materials in each component of the CEEF and operational status of each component at the start of the simulation, and configure them as the initial conditions of the simulation. For requirements of experiments, the simulation program for the CPS should be easy to adapt for changes of components and object materials. Because the CEEF is a nonlinear system, available period of the simulation is important. A flexible algorithm for the changes was developed. The simulation was available for three days to validate.

A simulation of an open mode system experiment was run using the same experimental conditions as an integration test conducted from September 1999 to February 2000 using the Closed Plant Experiment Facility at the Institute for Environmental Sciences in order to evaluate the operation of closed mode system to be conducted in future. Operation of the open mode system experiment required a supply of water and carbon dioxide from the outside, and the discharge of nutrient waste water and oxygen. The present simulation verified the feasibility of using non-integrated wet-oxidation processor, nutrient synthesis unit and nutrient waste water processor connected within a closed mode system, and it was confirmed that sufficient material circulation could be achieved when rice and soybeans were divided into six beds with different growing stages to facilitate control of the nutrient solution.

Simulation of material circulation for a closed experiment using CEEF consisting of a plant and human system was performed. Initial set of materials contained in CEEF was decided by a decision procedure. Before the closure where the plant system is operated independently, the plant system (CPEF) needs gas exchange of O2 and CO2 with the outside. After the closure where the plant and human system are operated in a cooperation mode with mutual material exchange, no exchange of materials is needed. The closure time corresponds to the longest cultivation period to be cultivated in CPEF.

When discussing how to design and control a Closed Ecology Life Support System (CELSS), element-level calculations should be performed on materials circulating in the system. Performing these calculations through computer simulation allows great advantages, especially when analyzing a CELSS for applications having various forms at experimental facilities. In the present study, models for analyzing the balance and circulation of CELSS materials are developed, and material balance analysis software for CELSS (MBASC) and material circulation analysis software for CELSS (MCASC) are created using these models. The present paper proposes a new method for integrating an entire CELSS and controlling material circulation through the analysis of CELSS material circulation using the proposed software.

The closed ecology experiment facilities(CEEF) are comprised of an animal breeding & habitation module, plant module, and a geo-hydrosphere module(currently being established), which are composed of physicochemical devices to allow almost all the material to be circulated. Partial test operations are now in progress with these kinds of equipment, and cooperative operations between an animal breeding & habitation module and plant module are expected to be started in the near future. Balance of the material and equipment performance as the whole of the system are being tested, and material circulation in a variety of operation modes is being examined. Keeping such a situation in mind, analysis is made in this report for material circulation in the plant module by itself for operations based on the equipment design data.