Dynamic optimization of CELSS crop photosynthetic rate by computer-assisted feedback control.
A procedure for dynamic optimization of net photosynthetic rate (Pn) for crop production in Controlled Ecological Life-Support Systems (CELSS) was developed using leaf lettuce as a model crop. Canopy Pn was measured in real time and fed back for environmental control. Setpoints of photosynthetic photon flux (PPF) and CO2 concentration for each hour of the crop-growth cycle were decided by computer to reach a targeted Pn each day. Decision making was based on empirical mathematical models combined with rule sets developed from recent experimental data. Comparisons showed that dynamic control resulted in better yield per unit energy input to the growth system than did static control. With comparable productivity parameters and potential for significant energy savings, dynamic control strategies will contribute greatly to the sustainability of space-deployed CELSS.
Chun
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C
NASA Specialized Center of Research and Training in Bioregenerative Life Support, Purdue University, West Lafayette, IN 47907-1165, USA.
Mitchell
C A
CA
D000389:Air Conditioning / Q000379:methods; D000465:Algorithms; D018533:Biomass; D002245:Carbon Dioxide / Q000494:pharmacology; D003199:Computer Systems; D018504:Ecological Systems, Closed; D004780:Environment, Controlled; D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods*; D018545:Lactuca / Q000187:drug effects / Q000254:growth & development* / Q000528:radiation effects; D008021:Life Support Systems / Q000295:instrumentation; D008027:Light; D017785:Photons; D010788:Photosynthesis
D002245:Carbon Dioxide