Pyrolysis Processing for Solid Waste Resource Recovery in Space

The NASA objective of expanding the human experience into the far reaches of space will require the development of regenerable life support systems. A key element of these systems is a means for solid waste resource recovery. The objective of this work was to demonstrate the feasibility of pyrolysis processing as a method for the conversion of solid waste materials in a Controlled Ecological Life Support System (CELSS). A pyrolysis process will be useful to NASA in at least four respects: 1) it can be used as a pretreatment for a combustion process; 2) it can be used as a more efficient means of utilizing oxygen and recycling carbon and nitrogen; 3) it can be used to supply fuel gases to fuel cells for power generation; 4) it can be used as the basis for the production of chemicals and materials in space. A composite mixture was made consisting of 10% polyethylene, 15% urea, 25% cellulose, 25% wheat straw, 20% Gerepon TC-42 (space soap) and 5% methionine. Pyrolysis of the composite mixture produced light gases as the main products (CH4, H2, CO2, CO, H2O, NH3) and a reactive carbon-rich char as the main byproduct. Significant amounts of liquid products were formed under less severe pyrolysis conditions, but these were cracked almost completely to gases as the temperature was raised. A primary pyrolysis model was developed for the composite mixture based on an existing model for whole biomass materials. An artificial neural network model was also used successfully to model the changes in gas composition with the severity of pyrolysis conditions.

[1]  Mohamed S. El-Genk,et al.  Space Technology and Applications International Forum , 1996 .

[2]  Eric M. Suuberg,et al.  Thermal Effects in Cellulose Pyrolysis: Relationship to Char Formation Processes , 1996 .

[3]  D. G. Christian,et al.  Biomass for Renewable Energy, Fuels, and Chemicals , 2000 .

[4]  Michael A. Serio,et al.  Modeling of biomass pyrolysis kinetics , 1998 .

[5]  J. Markham,et al.  Kinetics of volatile product evolution in coal pyrolysis: experiment and theory , 1987 .

[6]  B. Ydstie Forecasting and control using adaptive connectionist networks , 1990 .

[7]  S Pisharody,et al.  Solid waste processing in a CELSS: nitrogen recovery. , 1996, Life support & biosphere science : international journal of earth space.

[8]  Stewart W. Johnson,et al.  Engineering, Construction, and Operations in Space , 1990 .

[9]  Bradley R. Holt,et al.  A Neural Network Structure for System Identification , 1990, 1990 American Control Conference.

[10]  Babu Joseph,et al.  Predictive control of quality in a batch manufacturing process using artificial neural network models , 1993 .

[11]  V. Cozzani,et al.  Modeling and Experimental Verification of Physical and Chemical Processes during Pyrolysis of a Refuse-Derived Fuel , 1996 .

[12]  Greg P. Schaefer,et al.  Life Support Applications of TCM-FC Technology , 2001 .

[13]  Peter R. Solomon,et al.  General model of coal devolatilization , 1987 .

[14]  R. Carangelo,et al.  Tar evolution from coal and model polymers: 2. The effects of aromatic ring sizes and donatable hydrogens , 1986 .

[15]  P. R. Solomon,et al.  Application of TG-FT-i.r. to study hydrocarbon structure and kinetics , 1986 .

[16]  Kanapathipillai Wignarajah,et al.  Reactive Carbon from Life Support Wastes for Incinerator Flue Gas Cleanup , 2000 .

[17]  D. C. Psichogios,et al.  Direct and indirect model based control using artificial neural networks , 1991 .

[18]  Surendra N. Tiwari NASA/American Society for Engineering Education (ASEE) Summer Faculty Fellowship Program 1989 , 1987 .

[19]  Peter R. Solomon,et al.  Models of tar formation during coal devolatilization , 1988 .

[20]  P. R. Solomon,et al.  Measurement and modeling of lignin pyrolysis , 1994 .

[21]  Lyle H. Ungar,et al.  A hybrid neural network‐first principles approach to process modeling , 1992 .

[22]  Peter R. Solomon,et al.  A characterization method and model for predicting coal conversion behaviour , 1993 .

[23]  P. R. Solomon,et al.  Analysis of coal by thermogravimetry—fourier transform infrared spectroscopy and pyrolysis modeling , 1991 .

[24]  Peter R. Solomon,et al.  Very rapid coal pyrolysis , 1986 .

[25]  D L Bubenheim,et al.  Approaches to resource recovery in Controlled Ecological Life Support Systems. , 1994, Advances in space research : the official journal of the Committee on Space Research.