Managing natural gas demand for free consumers under uncertainty and limited storage capacity

dc.contributor.authorBilge, Ayşe Hümeyra
dc.contributor.authorYükseltan, Ergün
dc.contributor.authorYücekaya, Ahmet
dc.contributor.authorBilge, Ayşe Hümeyra
dc.date.accessioned2020-07-03T09:12:21Z
dc.date.available2020-07-03T09:12:21Z
dc.date.issued2020
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractDemand for energy sources depends on several factors such as population growth, urbanization, industrialization, and climate. Among fundamental energy sources, natural gas is characterized by storage limitations and take-or-pay contracts, which makes it especially critical to forecast the demand accurately for cost management policies. Suppliers of natural gas require take-or-pay contracts to ensure that consumers pay for any unused amount up front; and if the demand exceeds the agreed amount, they pay for over-use as well. Consumers with a demand above the eligible consumer limit are categorized as free consumers; and they have to specify their daily, monthly, and annual demand in these take-or-pay contracts. In residential areas, natural gas is used predominantly for heating, hence its consumption has a strong seasonality. In winter, the variability in the atmospheric temperature leads to fluctuations in the demand, while in summer, weekend effects dominate. In order to take these features into account, a demand forecasting model based on a modulated expansion in Fourier series, supplemented by deviations from comfortable temperatures, is used in this study to determine the threshold value for the onset of natural gas usage for heating purposes. The upper and lower bounds for consumption are obtained as a function of temperature only, after analyzing the details of the temperature-consumption relationship using historical data. Moreover, a temperature-based simulation methodology is proposed and simulation results that provide guidelines to manage the costs of storage under uncertainty are presented by suggesting the minimum storage capacity required and showing the distribution of the costs.en_US
dc.identifier.citation8
dc.identifier.doi10.1016/j.jngse.2020.103322en_US
dc.identifier.issn1875-5100en_US
dc.identifier.issn2212-3865en_US
dc.identifier.issn1875-5100
dc.identifier.issn2212-3865
dc.identifier.scopus2-s2.0-85084151064en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12469/2996
dc.identifier.urihttps://doi.org/10.1016/j.jngse.2020.103322
dc.identifier.volume79en_US
dc.identifier.wosWOS:000539869300004en_US
dc.identifier.wosqualityQ1
dc.institutionauthorAktunç, Esra Ağcaen_US
dc.institutionauthorYükseltan, Ergünen_US
dc.institutionauthorYücekaya, Ahmeten_US
dc.institutionauthorBilge, Ayşe Hümeyraen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.journalJournal of Natural Gas Science And Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectTime series analysisen_US
dc.subjectSimulationen_US
dc.subjectForecastingen_US
dc.subjectFourier seriesen_US
dc.subjectNatural gas consumptionen_US
dc.subjectStorage capacityen_US
dc.titleManaging natural gas demand for free consumers under uncertainty and limited storage capacityen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication1b50a6b2-7290-44da-b8d5-f048fea8b315
relation.isAuthorOfPublication.latestForDiscovery1b50a6b2-7290-44da-b8d5-f048fea8b315

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