Demand response cost analysis and its effect on system planning

dc.contributor.authorFreire Barceló, Teresaes-ES
dc.contributor.authorMartín Martínez, Franciscoes-ES
dc.contributor.authorSánchez Miralles, Alvaroes-ES
dc.date.accessioned2024-04-09T02:33:10Z
dc.date.available2024-04-09T02:33:10Z
dc.description.abstractes-ES
dc.description.abstractDemand response (DR) is becoming a necessity rather than a choice since its environmentally friendly nature makes it an ideal option for development and deployment in the electricity system, particularly in the high-renewable penetration landscape. However, determining the system costs associated with DR is challenging, as there is ambiguity regarding their allocation. This work uses an enhanced model that optimizes the amount of DR from the residential and services sectors within the system, thereby establishing a range of fixed and variable costs that guarantee a profitable business case for DR implementation. The findings highlight that H&C is the most restrictive technology, as it requires lower costs to achieve a positive business case, followed by DHW and finally the EV flexibility is the one that has wider cost range while still profitable. Furthermore, the consideration of DR costs has been compared with not considering them, thereby justifying their necessity in making optimal investment and operational decisions.en-GB
dc.description.versioninfo:eu-repo/semantics/draftes_ES
dc.format.mimetypeapplication/pdfes_ES
dc.identifier.urihttp://hdl.handle.net/11531/88028
dc.keywordses-ES
dc.keywordsDemand response cost, Electricity system planning, LCOE, buildings flexibility, profitability analysis.en-GB
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.rights.uries_ES
dc.titleDemand response cost analysis and its effect on system planninges_ES
dc.typeinfo:eu-repo/semantics/workingPaperes_ES

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