DEP – PLATFORM FOR MODELING AND OPTIMIZATION OF BIOENERGY PRODUCTION IN PRACTICAL USE


IX Regionalna konferencija Industrijska energetika i zaštita životne sredine u zemljama Jugoistočne Evrope  (str. 244-257)

АУТОР(И) / AUTHOR(S): Srđan Vasković, Petar Gvero, Nermin Montel, Ivan Marijanović

Download Full Pdf   

DOI: 10.46793/IEEP24.244V

САЖЕТАК / ABSTRACT:

This paper describes the possibilities of use developed Dignet Energy Platform (DEP) – platform for modeling and optimization of bioenergy production. DEP presents a set of software tools based on a mathematical model that calculates the desired outputs and the profitability of the investments in this type of renewable energy source based on input parameters by using Multi-Criteria Decision Analysis (MCDA). This tool enables the simplification of complex, biomass-based energy production related calculations, while also enables the customization of each individual element in the bioenergy production process. The user is able to use a simple procedure to „simulate“ the production parameters and choose the best option from a set of biomass-based projects. Several aspects of selected project quality assessment are enabled based on defined criteria calculated for each desired project type. These criteria are: energy efficiency f1 (without the dimensional value), total investment in the production chain f2 (EUR), fuel, heat, and/or electricity production price f3 (in EUR/ton or in EUR/kWh), CO2 emission in the biomass fuel, heat, and/or electricity production chain f4 (in kg CO2/t or in kg CO2/kWh) and exergetic factor of the quality chain f5 (dimensionless). This paper describes a simple protocol for use of DEP. As an example in this paper, three chains of biomass fuel production are taken: a chain for the production of wood chips, a chain for the production of straw bales and a chain for the production chips from miscanthus.  All chains related to the setting conditions applicable to the Republic of Croatia, and the region. The DEP platform is a very usable tool that quickly selects the optimal project based on biomass with a large amount of information needed for its further development.

КЉУЧНЕ РЕЧИ / KEYWORDS:

DEP platform, modeling, bioenergy chains, optimization

ЛИТЕРАТУРА / REFERENCES:

[1] Vasković S, Gvero P, Medaković V, Halilović V. Energy Chains Optimization for Selection of Sustainable Energy Supply [Internet]. Sustainable Supply Chain Management. InTech; 2016. Available from: http://dx.doi.org/10.5772/62537.

[2] Siksnelyte-Butkiene, I.; Zavadskas, E.K.; Streimikiene, D. Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review. Energies 2020, 13, 1164. https://doi.org/10.3390/en13051164

[3] Dias Brandao, R.; Thiffault, E.; Levasseur, A. Development of a Multi-Criteria Analysis Decision-Support Tool for the Sustainability of Forest Biomass Heating Projects in Quebec. Sustainability 202214, 13200. https://doi.org/10.3390/su142013200

[4] Opricovic, S., Tzeng, Gwo-Hshiung, 2004. „Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS,“ European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.

[5] Dang V.T., Dang W.V.T. Multi-Criteria Decision-Making in the Evaluation of Environmental Quality of OECD Countries: The Entropy Weight and VIKOR Methods. Int. J. Ethics Syst. 2019;36:119–130. doi: 10.1108/IJOES-06-2019-0101.

[6] https://dep.dignet.hr/ Pristupljeno 12.4.2024.

[7] https://www.eia.gov/energyexplained/biomass/biomass-and-the-environment.php. Pristupljeno 12.4.2024.

[8] Fachagentur Nachwachsende Rohstoffe e.V. (Hrsg.): Handbuch Bioenergie-Kleinanlagen. 2., vollst. überarb. Aufl. Rostock 2007.

[9] Hartmann, H., Böhm, T.E., Maier L., Naturbalassene biogene Festbrennstoffe-umweltrelwante Eigenschaften und Einflussmoglichkeiteiten. Umwelt und Entwicukling 154. Bayerisches Statsministerium für Landsentiwicukling und Umweltfragen, 2000.

[10] Hellrigl, B., Elementi di xiloenergetica (Elements of wood energy). Associazione Italiana Energie Rinnovabili. Legnaro (PD), AIEL:320 pp., 2006.

[11] Pottie M.A. and Guimier D.Y., Harvesting and transport of logging residuals and residues, Forest Engineering Research Institute of Canada, IEA Cooperative Project n. CPC6. FERIC special report, SR33, 1986.