Simulation of biomass torrefaction

Published: 2 March 2026| Version 1 | DOI: 10.17632/yjj288c3d6.1
Contributors:
Sebastian Berendt, Nestor Sanchez

Description

This dataset contains an Aspen Plus simulation of a biomass torrefaction process, including the corresponding backup file (.bkp) and a Python automation script. The model represents a multi-stage thermal treatment (PYRO blocks) operating between 200–300 °C under an inert nitrogen atmosphere. The Python script connects to Aspen Plus via the COM interface (pywin32), modifies biomass feed rate, reactor temperatures, and nitrogen flow rate, and executes the simulation automatically. The model enables controlled evaluation of mass flow adjustments and operating temperature effects on process performance. The simulation is intended for parametric analysis and research applications in thermochemical biomass conversion.

Files

Steps to reproduce

The data were generated through steady-state process simulation in Aspen Plus. A torrefaction model was previously developed and structured using sequential reactor blocks (PYRO units) operating under an inert nitrogen atmosphere. The simulation was built based on mass and energy balance principles, defining biomass as a non-conventional component and specifying its properties according to proximate and ultimate analysis data. Once the base model was validated, the dataset was generated via automated parametric variation of key operating conditions: biomass mass flow rate (kg/h), reactor temperature (200–300 °C), and nitrogen flow rate (L/min). Nitrogen flow was constrained proportionally to biomass feed to maintain consistent inert conditions across scenarios. Automation was implemented in Python (3.x) using the pywin32 library to interface with Aspen Plus through its COM API. The script loads the Aspen backup file (.bkp), modifies input variables directly in the simulation tree structure, and executes the model programmatically. This workflow ensures reproducibility and allows systematic exploration of operating conditions without manual intervention. All results correspond to steady-state convergence outputs obtained directly from Aspen Plus after each automated run. The provided files include the simulation backup and the automation script, enabling full reproducibility of the dataset.

Institutions

Categories

Biomass, Torrefaction, Agro-Industrial Waste

Licence