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Related Experiment Video

Updated: Dec 28, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

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Data set and model code on the optimal operating state of a negative emission polygeneration system.

Kathleen B Aviso¹, Raymond R Tan¹, Dominic C Y Foo²

¹Chemical Engineering Department, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines.

|February 22, 2020

Summary

This summary is machine-generated.

This study provides data and model code for a negative emission polygeneration system. It helps analyze system performance and the impact of new process units for better operational and environmental outcomes.

Keywords:

Carbon dioxide removal Carbon tax Desalination Negative emissions technology Polygeneration

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Area of Science:

Chemical Engineering
Environmental Science
Optimization

Background:

Negative emission polygeneration systems are crucial for sustainable energy production.
Understanding the operational dynamics and environmental impact of these systems is essential.
Previous research by Tan et al. (2019) established a foundational model.

Purpose of the Study:

To release the data set and model code for the negative emission polygeneration system.
To enable further analysis of system interdependencies, operational performance, and environmental impact.
To facilitate research on integrating new process units into the polygeneration network.

Main Methods:

An optimization model implemented in LINGO 18.0 was used for data generation.
The model determined the maximum annual profit at various carbon footprint targets.
The data set includes the operating state of each process unit.

Main Results:

The study generated a comprehensive data set and model code.
Maximum annual profit was identified under different carbon footprint constraints.
The data allows for detailed examination of process unit interactions.

Conclusions:

The provided data and code support in-depth analysis of polygeneration systems.
Researchers can investigate operational efficiencies and environmental performance.
The resources facilitate the evaluation of new unit integration for improved sustainability.