Optimization of biogas supply networks considering multiple objectives and auction trading prices of electricity

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dc.contributor.authorEgieya, Jafaru M
dc.contributor.authorČuček, Lidija
dc.contributor.authorZirngast, Klavdija
dc.contributor.authorIsafiade, Adeniyi J
dc.contributor.authorKravanja, Zdravko
dc.date.accessioned2020-01-14T06:57:14Z
dc.date.available2020-01-14T06:57:14Z
dc.date.issued2020-01-08
dc.date.updated2020-01-12T04:43:27Z
dc.description.abstractAbstract This contribution presents an hourly-based optimization of a biogas supply network to generate electricity, heat and organic fertilizer while considering multiple objectives and auction trading prices of electricity. The optimization model is formulated as a mixed-integer linear programming (MILP) utilizing a four-layer biogas supply chain. The model accounts for biogas plants based on two capacity levels of methane to produce on average 1 ± 0.1 MW and 5 ± 0.2 MW electricity. Three objectives are put forward: i) maximization of economic profit, ii) maximization of economic profit while considering cost/benefits from greenhouse gas (GHG) emissions (economic+GHG profit) and iii) maximization of sustainability profit. The results show that the economic profit accrued on hourly-based auction trading prices is negative (loss), hence, four additional scenarios are put forward: i) a scenario whereby carbon prices are steadily increased to the prevalent eco-costs/eco-benefits of global warming; ii) a scenario whereby all the electricity auction trading prices are multiplied by certain factors to find the profitability breakeven factor, iii) a scenario whereby shorter time periods are applied, and investment cost of biogas storage is reduced showing a relationship between cost, volume of biogas stored and the variations in electricity production and (iv) a scenario whereby the capacity of the biogas plant is varied from 1 MW and 5 MW as it affects economics of the process. The models are applied to an illustrative case study of agricultural biogas plants in Slovenia where a maximum of three biogas plants could be selected. The results hence present the effects of the simultaneous relationship of economic profit, economic+GHG profit and sustainability profit on the supply and its benefit to decision-making.
dc.identifier.apacitationEgieya, J. M., Čuček, L., Zirngast, K., Isafiade, A. J., & Kravanja, Z. (2020). Optimization of biogas supply networks considering multiple objectives and auction trading prices of electricity. http://hdl.handle.net/11427/30726en_ZA
dc.identifier.chicagocitationEgieya, Jafaru M, Lidija Čuček, Klavdija Zirngast, Adeniyi J Isafiade, and Zdravko Kravanja "Optimization of biogas supply networks considering multiple objectives and auction trading prices of electricity." (2020) http://hdl.handle.net/11427/30726en_ZA
dc.identifier.citationBMC Chemical Engineering. 2020 Jan 08;2(1):3
dc.identifier.ris TY - Journal Article AU - Egieya, Jafaru M AU - Čuček, Lidija AU - Zirngast, Klavdija AU - Isafiade, Adeniyi J AU - Kravanja, Zdravko AB - Abstract This contribution presents an hourly-based optimization of a biogas supply network to generate electricity, heat and organic fertilizer while considering multiple objectives and auction trading prices of electricity. The optimization model is formulated as a mixed-integer linear programming (MILP) utilizing a four-layer biogas supply chain. The model accounts for biogas plants based on two capacity levels of methane to produce on average 1 ± 0.1 MW and 5 ± 0.2 MW electricity. Three objectives are put forward: i) maximization of economic profit, ii) maximization of economic profit while considering cost/benefits from greenhouse gas (GHG) emissions (economic+GHG profit) and iii) maximization of sustainability profit. The results show that the economic profit accrued on hourly-based auction trading prices is negative (loss), hence, four additional scenarios are put forward: i) a scenario whereby carbon prices are steadily increased to the prevalent eco-costs/eco-benefits of global warming; ii) a scenario whereby all the electricity auction trading prices are multiplied by certain factors to find the profitability breakeven factor, iii) a scenario whereby shorter time periods are applied, and investment cost of biogas storage is reduced showing a relationship between cost, volume of biogas stored and the variations in electricity production and (iv) a scenario whereby the capacity of the biogas plant is varied from 1 MW and 5 MW as it affects economics of the process. The models are applied to an illustrative case study of agricultural biogas plants in Slovenia where a maximum of three biogas plants could be selected. The results hence present the effects of the simultaneous relationship of economic profit, economic+GHG profit and sustainability profit on the supply and its benefit to decision-making. DA - 2020-01-08 DB - OpenUCT DP - University of Cape Town KW - Biogas production KW - Auction trading prices of electricity KW - Supply network optimization KW - Multiple objectives KW - Economic profitability LK - https://open.uct.ac.za PY - 2020 T1 - Optimization of biogas supply networks considering multiple objectives and auction trading prices of electricity TI - Optimization of biogas supply networks considering multiple objectives and auction trading prices of electricity UR - http://hdl.handle.net/11427/30726 ER - en_ZA
dc.identifier.urihttps://doi.org/10.1186/s42480-019-0025-5
dc.identifier.urihttp://hdl.handle.net/11427/30726
dc.identifier.vancouvercitationEgieya JM, Čuček L, Zirngast K, Isafiade AJ, Kravanja Z. Optimization of biogas supply networks considering multiple objectives and auction trading prices of electricity. 2020; http://hdl.handle.net/11427/30726.en_ZA
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dc.subjectBiogas production
dc.subjectAuction trading prices of electricity
dc.subjectSupply network optimization
dc.subjectMultiple objectives
dc.subjectEconomic profitability
dc.titleOptimization of biogas supply networks considering multiple objectives and auction trading prices of electricity
dc.typeJournal Article
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