Introduction to Chemical Engineering Analysis

**CBE20255 Introduction to Chemical Engineering Analysis** demonstrates the use of mass and energy balances for the
analysis of chemical processes and products. The notebooks in the repository show how to prepare and analyze conceptual
flowsheets for chemical processes, perform generation-consumption analysis, and perform basic engineering calculations
for stoichiometry, reactor performance, separations, and energy analysis.

The notebooks demonstrate these basic chemical engineering calculations using Python. The notebooks can be open directly in Google Colaboratory where they can be run, edited, shared, and saved to your Google Drive. Alternatively, the notebooks can be downloaded and executed on your computer. These notebooks were developed and tested using the Anaconda distribution.

- 3.1 Global CO
_{2}Budget - 3.2 CO
_{2}Production by Automobiles - 3.4 Separating Milk
- 3.5 Adipic Acid Flowsheet

- 4.1 Lean NO
_{x}Trap - 4.2 Ethylene Oxide Flowsheet
- 4.3 General Mass Balance on a Single Tank
- 4.4 Unsteady-State Material Balances

- 7.1 Gases with One Condensable Component
- 7.2 Vapor-Liquid Equilibrium for Pure Components
- 7.3 Operating Limits for a Methanol Lighter
- 7.4 Raoult Law for Ideal Mixtures
- 7.5 Henry Law Constants
- 7.6 Binary Phase Diagrams for Ideal Mixtures
- 7.7 Bubble and Dew Points for Binary Mixtures
- 7.8 Bubble and Dew Points for Multicomponent Mixtures
- 7.9 Isothermal Flash and the Rachford-Rice Equation
- 7.10 Binary Distillation with McCabe-Thiele

- 8.1 Energy Balances on a Classroom
- 8.2 Water and Steam Calculator
- 8.3 Basic Energy Computations
- 8.4 Energy Balances for a Steam Turbine
- 8.5 Humidity and Psychrometrics
- 8.6 Adiabatic Flame Temperature
- 8.7 Torpedo Propulsion

- A.1 Diesel Engine Emissions Control
- A.2 Pyrotechnic Design for Airbags
- A.3 Flameless Cooking
- A.4 Artificial Gills for Underwater Breathing?

**Note on the use of Python.** The Python used in these notebooks is deliberately limited to a core set of language
features. These notebooks use scalar variables and lists of scalar variables to represent data. Also used are
arithmetic, math, print, and plotting functions from the `matplotlib.pyplot`

library. Functions created with `def`

and `lambda`

are used when root-finding calculations are required. List comprehesions are used on occasion when the
result is more readable code. The `Sympy`

library for symbolic math is used extensively for writing mass balances. Other
libraries included `numpy`

, `math`

, and the root-finding functions from `scipy.optimize`

. Notebooks with more advanced
use of Python, such as dictionaries, are marked with an asterisk.

**License Requirements.** The materials in this repository are available at
https://github.com/jckantor/CBE20255.git
for noncommercial use under terms of the
Creative Commons Attribution Noncommericial ShareAlike License.
You are invited to fork this repository, and to use, adapt, remix these material for non-commericial purposes. The
license terms require you to give attribution and share your work under the same terms. Pull requests for corrections
and additions to these materials are most welcome.

**Acknowledgements.** Several notebooks embed videos from LearnChemE hosted at the
University of Colorado at Boulder and sponsored by the National Science Foundation (NSF) and Shell Corporation.
Permission to use these videos is gratefully acknowledged.