Agent-Based Simulation Modeling for Sustainable Chemical Production and Resource Management

Afshin Poorkhanalikoudehi, Thorsten Wack, Sebastian Kliesow, Martin Distelhoff, Goerge Deerberg, Goerge Deerberg

2025

Abstract

This study investigates the optimization of resource allocation and energy efficiency within a sustainable chemical production network using three distinct methods: Resource Availability-Based Selection, Pareto-based Selection, and Pareto Optimization. Each method was analyzed based on its ability to manage energy consumption, production efficiency, and resource utilization across multiple iterations. The Resource Availability-Based Selection method prioritized available resources in storage, while the Pareto-based Selection introduced input price considerations. Pareto Optimization, the most advanced approach, balanced production efficiency and cost-effectiveness, resulting in the highest overall performance. Findings demonstrate that multi-objective optimization, particularly Pareto Optimization, enhances operational efficiency and sustainability. The study’s implications suggest adopting advanced optimization strategies to achieve energy efficiency and sustainability goals in the chemical industry. Additionally, recommendations for future research include incorporating real-time market dynamics, logistical factors, and renewable energy sources into the model to further enhance decision-making.

Paper Citation

in Harvard Style

Poorkhanalikoudehi A., Wack T., Kliesow S., Distelhoff M. and Deerberg G. (2025). Agent-Based Simulation Modeling for Sustainable Chemical Production and Resource Management. In Proceedings of the 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH; ISBN 978-989-758-759-7, SciTePress, pages 147-158. DOI: 10.5220/0013339600003970

in Bibtex Style

@conference{simultech25,
author={Afshin Poorkhanalikoudehi and Thorsten Wack and Sebastian Kliesow and Martin Distelhoff and Goerge Deerberg},
title={Agent-Based Simulation Modeling for Sustainable Chemical Production and Resource Management},
booktitle={Proceedings of the 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH},
year={2025},
pages={147-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013339600003970},
isbn={978-989-758-759-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH
TI - Agent-Based Simulation Modeling for Sustainable Chemical Production and Resource Management
SN - 978-989-758-759-7
AU - Poorkhanalikoudehi A.
AU - Wack T.
AU - Kliesow S.
AU - Distelhoff M.
AU - Deerberg G.
PY - 2025
SP - 147
EP - 158
DO - 10.5220/0013339600003970
PB - SciTePress