Data-Driven Evaluation of the Economic Viability of a Residential Battery Storage System Using Grid Import and Export Measurements.
Saved in:
| Title: | Data-Driven Evaluation of the Economic Viability of a Residential Battery Storage System Using Grid Import and Export Measurements. |
|---|---|
| Authors: | Gebhard, Tim August1,2 (AUTHOR), Garrido-Zafra, Joaquín1,2 (AUTHOR), Moreno-Muñoz, Antonio1 (AUTHOR) amoreno@uco.es |
| Source: | Energies (19961073). Feb2026, Vol. 19 Issue 4, p1072. 21p. |
| Subject Terms: | *Storage batteries, *Net present value, *Load management (Electric power), *Smart meters, *Cost effectiveness, *Energy storage, *Energy demand management |
| Abstract: | Battery-electric residential storage systems can increase the self-consumption of photovoltaic (PV) generation; however, economical sizing typically requires a high-resolution time series of PV production and household load behind the meter. In practice, such data are often unavailable. This work therefore presents a simulation model for determining the economically optimal residential storage capacity based exclusively on smart-meter data at the point of common coupling (PCC), i.e., hourly import and export time series. Economic performance is assessed using net present value (NPV) over a multi-year evaluation horizon. In addition, technical constraints (SoC limits, power limits, charging/discharging efficiencies) as well as capacity degradation are considered via a semi-empirical aging model. For validation, a reproducible reference scenario is constructed using PVGIS generation data and the standard load profile H23, enabling a direct comparison between the conventional approach (consumption/generation) and the PCC approach (import/export). The results show that the capacity optimum can be reproduced consistently using PCC data, even under smart-meter-like integer kWh quantization. At the same time, large parts of the investigated parameter space indicate that, under the assumed scenarios, foregoing a storage system is often not economically sensible. Sensitivity analyses further highlight the strong impact of load shifting, in particular due to the charging time of electric vehicles. A case study using real PCC measurement data, together with a two-week-window analysis, demonstrates practical applicability and robustness under limited measurement durations. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 191973492 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Data-Driven Evaluation of the Economic Viability of a Residential Battery Storage System Using Grid Import and Export Measurements. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gebhard%2C+Tim+August%22">Gebhard, Tim August</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Garrido-Zafra%2C+Joaquín%22">Garrido-Zafra, Joaquín</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moreno-Muñoz%2C+Antonio%22">Moreno-Muñoz, Antonio</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> amoreno@uco.es</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Feb2026, Vol. 19 Issue 4, p1072. 21p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Storage+batteries%22">Storage batteries</searchLink><br />*<searchLink fieldCode="DE" term="%22Net+present+value%22">Net present value</searchLink><br />*<searchLink fieldCode="DE" term="%22Load+management+%28Electric+power%29%22">Load management (Electric power)</searchLink><br />*<searchLink fieldCode="DE" term="%22Smart+meters%22">Smart meters</searchLink><br />*<searchLink fieldCode="DE" term="%22Cost+effectiveness%22">Cost effectiveness</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+demand+management%22">Energy demand management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Battery-electric residential storage systems can increase the self-consumption of photovoltaic (PV) generation; however, economical sizing typically requires a high-resolution time series of PV production and household load behind the meter. In practice, such data are often unavailable. This work therefore presents a simulation model for determining the economically optimal residential storage capacity based exclusively on smart-meter data at the point of common coupling (PCC), i.e., hourly import and export time series. Economic performance is assessed using net present value (NPV) over a multi-year evaluation horizon. In addition, technical constraints (SoC limits, power limits, charging/discharging efficiencies) as well as capacity degradation are considered via a semi-empirical aging model. For validation, a reproducible reference scenario is constructed using PVGIS generation data and the standard load profile H23, enabling a direct comparison between the conventional approach (consumption/generation) and the PCC approach (import/export). The results show that the capacity optimum can be reproduced consistently using PCC data, even under smart-meter-like integer kWh quantization. At the same time, large parts of the investigated parameter space indicate that, under the assumed scenarios, foregoing a storage system is often not economically sensible. Sensitivity analyses further highlight the strong impact of load shifting, in particular due to the charging time of electric vehicles. A case study using real PCC measurement data, together with a two-week-window analysis, demonstrates practical applicability and robustness under limited measurement durations. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=191973492 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19041072 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1072 Subjects: – SubjectFull: Storage batteries Type: general – SubjectFull: Net present value Type: general – SubjectFull: Load management (Electric power) Type: general – SubjectFull: Smart meters Type: general – SubjectFull: Cost effectiveness Type: general – SubjectFull: Energy storage Type: general – SubjectFull: Energy demand management Type: general Titles: – TitleFull: Data-Driven Evaluation of the Economic Viability of a Residential Battery Storage System Using Grid Import and Export Measurements. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gebhard, Tim August – PersonEntity: Name: NameFull: Garrido-Zafra, Joaquín – PersonEntity: Name: NameFull: Moreno-Muñoz, Antonio IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 4 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |