Managing Natural Gas Demand for Free Consumers Under Uncertainty and Limited Storage Capacity

gdc.relation.journal Journal of Natural Gas Science And Engineering en_US
dc.contributor.author Aktunç, Esra Ağca
dc.contributor.author Yükseltan, Ergün
dc.contributor.author Yücekaya, Ahmet
dc.contributor.author Bilge, Ayşe Hümeyra
dc.date.accessioned 2020-07-03T09:12:21Z
dc.date.available 2020-07-03T09:12:21Z
dc.date.issued 2020
dc.description.abstract Demand 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.citationcount 8
dc.identifier.doi 10.1016/j.jngse.2020.103322 en_US
dc.identifier.issn 1875-5100 en_US
dc.identifier.issn 2212-3865 en_US
dc.identifier.issn 1875-5100
dc.identifier.issn 2212-3865
dc.identifier.scopus 2-s2.0-85084151064 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/2996
dc.identifier.uri https://doi.org/10.1016/j.jngse.2020.103322
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Journal of Natural Gas Science and Engineering
dc.rights info:eu-repo/semantics/embargoedAccess en_US
dc.subject Time series analysis en_US
dc.subject Simulation en_US
dc.subject Forecasting en_US
dc.subject Fourier series en_US
dc.subject Natural gas consumption en_US
dc.subject Storage capacity en_US
dc.title Managing Natural Gas Demand for Free Consumers Under Uncertainty and Limited Storage Capacity en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Aktunç, Esra Ağca en_US
gdc.author.institutional Bilge, Ayşe Hümeyra
gdc.author.institutional Yücekaya, Ahmet en_US
gdc.author.institutional Ağca Aktunç, Esra
gdc.author.institutional Yücekaya, Ahmet Deniz
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access embargoed access
gdc.coar.type text::journal::journal article
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.startpage 103322
gdc.description.volume 79 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W3017825908
gdc.identifier.wos WOS:000539869300004 en_US
gdc.oaire.diamondjournal false
gdc.oaire.impulse 8.0
gdc.oaire.influence 2.9790241E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Natural gas consumption
gdc.oaire.keywords Time series analysis
gdc.oaire.keywords Storage capacity
gdc.oaire.keywords Fourier series
gdc.oaire.keywords Simulation
gdc.oaire.keywords Forecasting
gdc.oaire.popularity 9.442371E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.fwci 0.636
gdc.openalex.normalizedpercentile 0.64
gdc.opencitations.count 7
gdc.plumx.crossrefcites 3
gdc.plumx.mendeley 22
gdc.plumx.scopuscites 9
gdc.scopus.citedcount 9
gdc.wos.citedcount 9
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