PyThermoLinkDB 1.3.2

PyThermoLinkDB is a Python package providing a robust and efficient interface between `PyThermoDB` and other applications.

PyThermoLinkDB

PyThermoLinkDB is a Python package providing a robust and efficient interface between PyThermoDB and other applications. It enables seamless thermodynamic data exchange, integration, and analysis. With PyThermoLinkDB, developers can easily link PyThermoDB to various tools, frameworks, and databases, streamlining thermodynamic workflows.

✨ Key Features

• 🔹 Simple and intuitive API

• ⚡ Efficient data transfer and integration

• 📂 Compatible with multiple data formats

• 📚 Extensive documentation and examples

Ideal for researchers, engineers, and developers working with thermodynamic data, PyThermoLinkDB simplifies data integration and analysis, accelerating scientific discoveries and industrial applications.

🌐 Google Colab

You can run PyThermoLinkDB in Google Colab:

• Basic Usage 1

📥 Installation

Install pyThermoLinkDB and PyThermoDB with pip

pip install pyThermoLinkDB

pip install PyThermoDB

🛠️ Usage Example

🔄 Load ThermoDB

This section demonstrates how to load thermodynamic data files from PyThermoDB.

Multiple thermodynamic databases are imported: one for CO2, one for methanol, and one for NRTL interaction parameters. Each database is loaded from a pickle file using the load_thermodb function, and then verified with the check() method to ensure data integrity.

# import packages/modules

import os

from rich import print

import pyThermoLinkDB as ptdblink

import pyThermoDB as ptdb



# SECTION CO2

CO2_thermodb_file = os.path.join(

    os.getcwd(), 'test', 'carbon dioxide-1.pkl')

# load

CO2_thermodb = ptdb.load_thermodb(CO2_thermodb_file)

print(type(CO2_thermodb))



# check

print(CO2_thermodb.check())



# SECTION methanol

# thermodb file name

MeOH_thermodb_file = os.path.join(os.getcwd(), 'test', 'methanol-1.pkl')

print(f"thermodb file: {MeOH_thermodb_file}")

# load

MeOH_thermodb = ptdb.load_thermodb(MeOH_thermodb_file)

print(type(MeOH_thermodb))



MeOH_thermodb



# check

print(MeOH_thermodb.check())



# SECTION nrtl

# thermodb file name

nrtl_thermodb_file = os.path.join(

    os.getcwd(), 'test', 'thermodb_nrtl_1.pkl')

print(f"thermodb file: {nrtl_thermodb_file}")

# load

nrtl_thermodb = ptdb.load_thermodb(nrtl_thermodb_file)

print(type(nrtl_thermodb))



# check

print(nrtl_thermodb.check())

🔌 Initialize Thermodb Hub

This section demonstrates how to initialize a ThermoDB hub using the init() function, which creates a central repository for thermodynamic data.

The code shows adding different component databases (methanol, CO2) as well as interaction parameter data (NRTL) to the hub. The items() method is used to list all components currently stored in the hub.

# init thermodb hub

thub1 = ptdblink.init()

print(type(thub1))



# add component thermodb

thub1.add_thermodb('MeOH', MeOH_thermodb)

thub1.add_thermodb('CO2', CO2_thermodb)

# matrix data

thub1.add_thermodb('NRTL', nrtl_thermodb)



# get components

print(thub1.items())

⚙️ ThermoDB Link Configuration

This section shows the format of the YAML configuration file used to define thermodynamic properties and equations for different compounds. Each component has a DATA section for properties (like critical pressure, temperature) and an EQUATIONS section for thermodynamic relationships. The configuration file structure helps maintain consistent property mapping across the database.

You can use markdown (.md), YAML (.yml), or text (.txt) files to set the ThermoDB configuration. It is also possible to define a variable directly in your code and add the content of a .yml, .txt, or .md file as a string, as long as the format is correct and parsable.

Thermodb rule format (thermodb_config.yml):

CO2:

  DATA:

    Pc: Pc

    Tc: Tc

    AcFa: AcFa

  EQUATIONS:

    vapor-pressure: VaPr

    heat-capacity: Cp_IG

acetylene:

  DATA:

    Pc: Pc

    Tc: Tc

    AcFa: AcFa

  EQUATIONS:

    vapor-pressure: VaPr

## CO2



    - DATA:

        Pc: Pc

        Tc: Tc

        AcFa: AcFa

    - EQUATIONS:

        vapor-pressure: VaPr

        heat-capacity: Cp_IG

# CO2

- DATA:

Pc: Pc

Tc: Tc

AcFa: AcFa

- EQUATIONS:

vapor-pressure: VaPr

heat-capacity: Cp_IG

# add thermodb rule

thermodb_config_file = os.path.join(os.getcwd(), 'test', 'thermodb_config.yml')



# all components

res_ = thub1.config_thermodb_rule(thermodb_config_file)

# selected components

#res_ = thub1.config_thermodb_rule(thermodb_config_file, names=["MeOH", "CO2"])

print(res_)

🔧 Add/Update ThermoDB Rule

This section demonstrates how to add or update a ThermoDB rule for a specific chemical compound (e.g., CO2). The rule includes critical data properties and equations related to the compound, which are then added to the ThermoDB using the add_thermodb_rule method.

# update thermodb rule

thermodb_rule_CO2 = {

    'DATA': {

        'Pc': 'Pc1',

        'Tc': 'Tc1',

        'AcFa': 'AcFa1'

    },

    'EQUATIONS': {

        'vapor-pressure': 'VaPr1',

        'heat-capacity': 'Cp_IG1'

    }

}



# add thermodb rule for CO2

thub1.add_thermodb_rule('CO2', thermodb_rule_CO2)

🗑️ Delete ThermoDB Rule

This section demonstrates how to delete a specific ThermoDB rule using the delete_thermodb_rule method. In this example, the rule associated with 'CO2' is being removed.

# delete thermodb rule for CO2

thub1.delete_thermodb_rule('CO2')

🔨 Build ThermoDB Hub

This section demonstrates the process of building data sources and equation sources using the build method, and then prints the resulting objects. Additionally, it showcases accessing and printing the hub attribute.

# build

datasource, equationsource = thub1.build()

print(datasource)

print(equationsource)



# hub

print(thub1.hub)

📊 Retrieve Data/Equation

This section demonstrates how to access various thermodynamic data and equations from the built ThermoDB hub. Examples include retrieving critical properties (Pc, Tc) for different components, NRTL interaction parameters, and calculating values using vapor pressure and activity coefficient equations at specified conditions.

# CO2 data

dt1_ = datasource['CO2']['Pc']

print(type(dt1_))

print(dt1_)



# MeOH data

dt2_ = datasource['MeOH']['Tc']

print(type(dt2_))

print(dt2_)



# NRTL data

dt3_ = datasource['NRTL']['alpha_i_j']

print(type(dt3_))

print(dt3_.ij("Alpha_methanol_ethanol"))



# CO2 equation

eq1_ = equationsource['CO2']['VaPr']

print(type(eq1_))

print(eq1_)

print(eq1_.args)

print(eq1_.cal(T=298.15))



# nrtl equation

eq2_ = equationsource['NRTL']['tau_i_j']

print(type(eq2_))

print(eq2_)

print(eq2_.args)

print(eq2_.cal(T=298.15))

❓ FAQ

For any question, contact me on LinkedIn

👨‍💻 Authors

• @sinagilassi