Version 1
: Received: 4 April 2024 / Approved: 4 April 2024 / Online: 4 April 2024 (10:14:01 CEST)
How to cite:
Banaś, J.; Utnik-Banaś, K.; Zięba, S. Integrating Linear Programming with GIS for Optimizing Biomass Supply Chains to Power Plant. Preprints2024, 2024040361. https://doi.org/10.20944/preprints202404.0361.v1
Banaś, J.; Utnik-Banaś, K.; Zięba, S. Integrating Linear Programming with GIS for Optimizing Biomass Supply Chains to Power Plant. Preprints 2024, 2024040361. https://doi.org/10.20944/preprints202404.0361.v1
Banaś, J.; Utnik-Banaś, K.; Zięba, S. Integrating Linear Programming with GIS for Optimizing Biomass Supply Chains to Power Plant. Preprints2024, 2024040361. https://doi.org/10.20944/preprints202404.0361.v1
APA Style
Banaś, J., Utnik-Banaś, K., & Zięba, S. (2024). Integrating Linear Programming with GIS for Optimizing Biomass Supply Chains to Power Plant. Preprints. https://doi.org/10.20944/preprints202404.0361.v1
Chicago/Turabian Style
Banaś, J., Katarzyna Utnik-Banaś and Stanisław Zięba. 2024 "Integrating Linear Programming with GIS for Optimizing Biomass Supply Chains to Power Plant" Preprints. https://doi.org/10.20944/preprints202404.0361.v1
Abstract
The article presents a model for optimizing biomass supply chains using the linear programming framework integrated with a Geographic Information System. Based on the distance from a given type of biomass resource, its calorific value, price, and transportation costs, the model identifies the optimal source of biomass, allowing it to cover the demand for the required total energy value with the lowest possible costs. The case study includes the Połaniec power plant in southeastern Poland and potential sources of forest biomass and agricultural straw within 100 km of the plant. Unit costs of biomass varied depending on biomass availability and energy demands. For energy demand on the level of 1 PJ yearly, the lowest unit costs of biomass (4.08 €/MJ) were when all kinds of biomass were available, and the highest (5.47 €/MJ) was when only stacked wood was available. As energy demand increased, unit costs increased, and the ability to meet this demand with just one type of biomass decreased. The energy biomass sector can utilize the model to benefit both biomass producers and their final buyers.
Keywords
biomass; sustainable energy; costs; supply chains; linear programming; optimization
Subject
Business, Economics and Management, Business and Management
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
