Search Results

We have developed top-level crop models for analysis of Advanced Life Support (ALS) systems that use plants to grow food. The crops modeled are candidates for ALS use: bean (dry), lettuce, peanut, potato (white), rice, soybean, sweet potato, tomato, and wheat. The crop models are modified versions of the energy cascade crop growth model originally developed for wheat by Volk, Bugbee, and Wheeler. The models now simulate the effects of temperature, carbon dioxide level, planting density, and relative humidity on canopy gas exchange, in addition to the effects of light level and photoperiod included in the original model. The energy cascade model has also been extended to predict the times of canopy closure, grain setting (senescence), and maturity (harvest) as functions of the environmental conditions.

NASA requires continuous risk management for all programs and projects. The risk management process identifies risks, analyzes their impact, prioritizes them, develops and carries out plans to mitigate or accept them, tracks risks and mitigation plans, and communicates and documents risk information. Project risk management is driven by the project goal and is performed by the entire team. Risk management begins early in the formulation phase with initial risk identification and development of a risk management plan and continues throughout the project life cycle. This paper describes a risk management approach that is suggested for use in NASA's Human Support Research and Technology (HSRT).

The purpose of NASA's Research and Development (R&D) programs is to provide advanced human support technologies for the Exploration Systems Mission Directorate (ESMD). The new technologies must be sufficiently attractive and proven to be selectable for future missions. This requires identifying promising candidate technologies and advancing them in technology readiness until they are likely options for flight. The R&D programs must select an array of technology development projects, manage them, and either terminate or continue them, so as to maximize the delivered number of potentially usable advanced human support technologies. This paper proposes an effective project selection methodology to help manage NASA R&D project portfolios.

We modeled BIO-Plex designs with separate or combined atmospheres and then simulated controlling the atmosphere composition. The BIO-Plex is the Bioregenerative Planetary Life Support Systems Test Complex, a large regenerative life support test facility under development at NASA Johnson Space Center. Although plants grow better at above-normal carbon dioxide levels, humans can tolerate even higher carbon dioxide levels. Incinerator exhaust has very high levels of carbon dioxide. An elaborate BIO-Plex design would maintain different atmospheres in the crew and plant chambers and isolate the incinerator exhaust in the airlock. This design option easily controls the crew and plant carbon dioxide levels but it uses many gas processors, buffers, and controllers. If all the crew’s food is grown inside BIO-Plex, all the carbon dioxide required by the plants can be supplied by crew respiration and the incineration of plant and food waste.

Dynamic simulation of the lunar outpost habitat life support was undertaken to investigate the impact of life support failures and to investigate possible responses. Some preparatory static analysis for the Lunar Outpost life support model, an earlier version of the model, and an investigation into the impact of Extravehicular Activity (EVA) were reported previously. (Jones, 2008-01-2184, 2008-01-2017) The earlier model was modified to include possible resupply delays, power failures, recycling system failures, and atmosphere and other material storage failures. Most failures impact the lunar outpost water balance and can be mitigated by reducing water usage. Food solids and nitrogen can be obtained only by resupply from Earth. The most time urgent failure is a loss of carbon dioxide removal capability. Life support failures might be survivable if effective operational solutions are provided in the system design.

New variable environment Modified Energy Cascade (MEC) crop models were developed for all the Advanced Life Support (ALS) candidate crops and implemented in SIMULINK. The MEC models are based on the Volk, Bugbee, and Wheeler Energy Cascade (EC) model and are derived from more recent Top-Level Energy Cascade (TLEC) models. The MEC models were developed to simulate crop plant responses to day-to-day changes in photosynthetic photon flux, photoperiod, carbon dioxide level, temperature, and relative humidity. The original EC model allowed only changes in light energy and used a less accurate linear approximation. For constant nominal environmental conditions, the simulation outputs of the new MEC models are very similar to those of earlier EC models that use parameters produced by the TLEC models. There are a few differences. The new MEC models allow setting the time for seed emergence, have more realistic exponential canopy growth, and have corrected harvest dates for potato and tomato.