Implementation of the reduced-order model developed as part of the project

"An Open-Source Framework for the Computational Analysis and Design of 
Autothermal Chemical Processes"

Prepared by:

- Mark Mba-Wright, Associate Professor, 
  Department of Mechanical Engineering, Iowa State University.

- Olumide O. Olafasakin, Graduate Student,
  Department of Mechanical Engineering, Iowa State University.

Acknowledgment
--------------

This material is based upon work supported by the U.S. Department of Energy’s 
Office of Energy Efficiency and Renewable Energy (EERE) under the Advanced 
Manufacturing Office (AMO), Emerging Research Initiative Award Number 
DE-EE0008326.

Disclaimer
----------

This software was prepared as an account of work sponsored by an agency of the 
United States Government. Neither the United States Government nor any agency 
thereof, nor any of its employees, makes any warranty, express or implied, or 
assumes any legal liability or responsibility for the accuracy, completeness, 
or usefulness of any information, apparatus, product, or process disclosed, 
or represents that its use would not infringe privately owned rights. 
Reference herein to any specific commercial product, process, or service by 
trade name, trademark, manufacturer, or otherwise does not necessarily 
constitute or imply its endorsement, recommendation, or favoring by the 
United States Government or any agency thereof.  The views and opinions of 
authors expressed herein do not necessarily state or reflect those of the 
United States Government or any agency thereof.


Description
-----------

The ROM function takes the biomass biochemical composition as input and returns 
the primary pyrolysis products in a dictionary. An example of the implementation 
is shown below.

Example code:

# import the pyrolysis function from unit_operator.
>>> from unit_operator import *                    

# Change directory to path that contains the models. 
>>> os.chdir(r"C:\Users\lumed\Desktop\OSTI\models")

# The list containing the biochemical composition of the biomass
>>> biomass = [0.39,0.23,0.15,0.14,0.09]                    

>>> pyrolysis_ROM(biomass)

{'CELLA': 2.1070602570664216e-05,
 'HCEA1': 1.778416024146785e-06,
 'HCEA2': 5.3214733997661e-09,
 'LIG': 2.9956384264650995e-05,
 'LIGCC': 0.02928007141424265,
 'LIGOH': 7.332948364164065e-06,
 'GCO2': 0.00016074857918718595,
 'GCO': 0.00023870289057927036,
 'GCOH2': 6.060088191792817,
 'GH2': 0.0601092583641435,
 'Char': 12.330439797572275,
 'HAA': 1.0637700561002914,
 'GLYOX': 0.26916519665932837,
 'C3H6O': 1.8636278129328847,
 'C3H4O2': 0.47494932058420347,
 'HMFU': 0.5847337644945421,
 'LVG': 35.84321707750291,
 'XYL': 5.728204730891855,
 'pCOUMARYL': 1.6612385280352964,
 'PHENOL': 0.7623459253585962,
 'FE2MACR': 7.80855171650296,
 'CH3CHO': 0.40706015233471965,
 'ETOH': 0.783139463057008,
 'CH3OH': 3.3710232995681952,
 'CO': 6.0231803543959925,
 'CO2': 7.175420660931949,
 'CH4': 2.425366666377149,
 'CH2O': 2.83449746190335,
 'H2': 8.053362511749107e-05,
 'C2H4': 2.603492955629865,
 'H2O': 3.514577961547629}