Optimization Model for Biogas Power Plant Feedstock Mixture Considering Feedstock and Transportation Costs Using a Differential Evolution Algorithm

Danijel Topić, Marinko Barukčić, Dražen Mandžukić and Cecilia Mezei
Additional contact information
Danijel Topić: Department of Computer Science and Information Technology, Faculty of Electrical Engineering, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
Marinko Barukčić: Department of Computer Science and Information Technology, Faculty of Electrical Engineering, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
Dražen Mandžukić: Enconsys d.o.o., 31000 Osijek, Croatia
Cecilia Mezei: Faculty of Economic Science, Institute of Regional and Agricultural Economics, Kaposvár University, H7400 Kaposvar, Hungary

Energies, 2020, vol. 13, issue 7, 1-22

Abstract: In this paper, an optimization model for biogas power plant feedstock mixture with respect to feedstock and transportation costs using a differential evolution algorithm (DEA) is presented. A mathematical model and an optimization problem are presented. The proposed model introduces an optimal mixture of different feedstock combinations in a biogas power plant and informs about the maximal transportation distance for each feedstock before being unprofitable. In the case study, the proposed model is applied to five most commonly used feedstock in biogas power plants in Croatia and Hungary. The research is performed for a situation when the biogas power plant is not owned by the farm owner but by a third party. An optimization procedure is performed for each scenario with a cost of methane production that does not exceed 0.75 EUR/m 3 in 1 MWe biogas power plant. The results show the needed yearly amounts and the maximum transportation distance of each feedstock.

Keywords: biogas power plant; feedstock mix optimization; feedstock cost; transportation cost; differential evolutionary optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/7/1610/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/7/1610/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:7:p:1610-:d:340144

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().