Data · dataset · 2026
Residential Renewable Energy Community Dataset for Joint Energy and Reserve Market Planning - ATE Project, Portugal, 2022
Listed in Teesside University Research Data Repository
This dataset supports the simulation work developed in the MEng dissertation "Sizing of Renewable Energy Communities for Participation in Energy and Reserve Markets" (FEUP / INESC TEC, 2026), carried out in the context of the ATE - Alliance for Energy Transition project.
Description
It contains the complete set of inputs and simulation outputs of the SITEC planning optimisation framework applied to a residential renewable energy community of five prosumers in Portugal, evaluated over the full 2022 calendar year at hourly resolution.
Inputs (folder "inputs"): - inputs_b2c.xlsx - electricity consumption and PV generation profiles per member, derived from smart-meter measurements at 15-minute resolution for the calendar year 2022 (aggregated to hourly intervals by the simulation framework); - assets_data.xlsx - technical and contractual characterisation of the five community members (initial PV capacity, BESS capacity, state-of-charge limits and contracted power); - prices_2022.xlsx - hourly OMIE day-ahead market prices for the Portuguese bidding zone and historical balancing-market data retrieved from the REN DataHub (reserve band prices, activation prices, contracted reserve bands and activated energies), from which the reserve activation ratios used by the model are computed.
Read the rest (2 more)
Outputs (folder "outputs"): - one Excel simulation report per scenario for the nine scenarios analysed in the dissertation (Baseline and S1-S8), including sizing decisions, annual energy KPIs, member-level economics and reserve-market results; - operational_days_S3_S4.xlsx - hourly operational results (community dispatch, storage state of energy, reserve bands and activated energies) for the two representative days analysed in the dissertation (6 July and 21 January 2022), for scenarios S3 and S4.
All data correspond to the calendar year 2022.
Links
Where it is published
- DOI doi.org/10.17632/smhtr9vctv.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Electrical engineering · Energy · Engineering
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/smhtr9vctv.2 | 17 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4008 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Electrical Engineering'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:energy | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |