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Pregled bibliografske jedinice broj: 1259403

Graph Theory Approach for the Optimisation of Biomass Supply Network – Case Study for the Urban Areas


Kodba, Ana; Pukšec, Tomislav
Graph Theory Approach for the Optimisation of Biomass Supply Network – Case Study for the Urban Areas // 25th Conference on Process Integration for Energy Saving and Pollution Reduction - PRES'22
Bol, Hrvatska, 2022. str. 1-1 (predavanje, međunarodna recenzija, sažetak, znanstveni)


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Naslov
Graph Theory Approach for the Optimisation of Biomass Supply Network – Case Study for the Urban Areas

Autori
Kodba, Ana ; Pukšec, Tomislav

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
25th Conference on Process Integration for Energy Saving and Pollution Reduction - PRES'22 / - , 2022, 1-1

Skup
Conference on Process Integration, Modelling, and Optimisation for Energy Saving and Pollution Reduction, PRES’22,

Mjesto i datum
Bol, Hrvatska, 05.09.2022. - 08.03.2023

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
p-graph, biomass suppy network

Sažetak
Biogas from anaerobic systems integrates the production of renewable energy, waste management and waste treatment, as well as biofertilizer production. One of the biggest barriers to increased waste biomass utilization in energy supply is the cost of the respective biomass supply network and technologies to convert biomass into useful forms of energy. To address this barrier, this paper presents a p-graph approach for the optimisation of biomass supply networks of biowaste which occur in restaurants, shops, food and beverage industry, whose objective is to determine economically optimal and sub-optimal residual biomass networks for biogas production, that meets greenhouse emission saving targets. The model is based on a graph theory approach and is able to take into consideration the seasonality of available biomass, biomass upstream cost and biomass processing cost (biogas production). In addition, the model considers as eligible only solutions which compile with the requirements given by Directive 2018/2001 on the promotion of the use of energy from renewable sources- 80% of greenhouse gas reduction for the biogas plants in operation from 2026 and environmental sustainability criteria. The model is developed and solved in P-Graph Studio, while the availability of feedstocks and transportation distance is defined with the GIS tool. This approach is tested in the case study for the urban area. This research is expected to be beneficial to decision-makers and biogas plant operators in the development of the biogas industry.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Ana Lovrak (autor)

Avatar Url Tomislav Pukšec (autor)


Citiraj ovu publikaciju:

Kodba, Ana; Pukšec, Tomislav
Graph Theory Approach for the Optimisation of Biomass Supply Network – Case Study for the Urban Areas // 25th Conference on Process Integration for Energy Saving and Pollution Reduction - PRES'22
Bol, Hrvatska, 2022. str. 1-1 (predavanje, međunarodna recenzija, sažetak, znanstveni)
Kodba, A. & Pukšec, T. (2022) Graph Theory Approach for the Optimisation of Biomass Supply Network – Case Study for the Urban Areas. U: 25th Conference on Process Integration for Energy Saving and Pollution Reduction - PRES'22.
@article{article, author = {Kodba, Ana and Puk\v{s}ec, Tomislav}, year = {2022}, pages = {1-1}, keywords = {p-graph, biomass suppy network}, title = {Graph Theory Approach for the Optimisation of Biomass Supply Network – Case Study for the Urban Areas}, keyword = {p-graph, biomass suppy network}, publisherplace = {Bol, Hrvatska} }
@article{article, author = {Kodba, Ana and Puk\v{s}ec, Tomislav}, year = {2022}, pages = {1-1}, keywords = {p-graph, biomass suppy network}, title = {Graph Theory Approach for the Optimisation of Biomass Supply Network – Case Study for the Urban Areas}, keyword = {p-graph, biomass suppy network}, publisherplace = {Bol, Hrvatska} }




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