Metadata-Version: 2.4
Name: PapAiEra
Version: 0.1.1
Summary: A Python library for Pulp and Paper manufacturing processes, based on BREF (Best Available Techniques) standards.
Author: PapAiEra
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Manufacturing
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.20.0
Requires-Dist: pandas>=1.3.0
Requires-Dist: scipy>=1.7.0
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# PapAiEra

PapAiEra is a specialized Python library designed for the **Pulp and Paper** industry. It is built incorporating the Best Available Techniques (BAT) reference documents (BREF 2015 standards).

## Features
The library is divided into modules targeting different processes and objectives in paper manufacturing:

*   **Pulping Modules** (`pap_ai_era.pulping`): Calculations and KPIs for Kraft, Sulphite, Mechanical, and Recycled fiber pulping.
*   **Papermaking** (`pap_ai_era.papermaking`): Machine efficiency, retention, drying, and coating calculations.
*   **Sustainability & Emissions** (`pap_ai_era.sustainability`): Energy and water consumption tracking, along with emissions to water (COD, BOD, TSS, AOX) and air (NOx, SO2, Total Reduced Sulphur, Particulates) per ADt (Air Dry tonne) of pulp/paper.

## Best Practices
The built-in functions allow mills to benchmark their specific consumption and emissions against BREF reference ranges for various grades.
