Mixed-use neighbourhood to maximise urban energy community potential
Bibliographic record
Abstract
Renewable energy communities (REC) are key drivers in promoting energy transition to renewable energy sources (RES). To maximise local potential for RECs, matching demand and local production requires the integration of different load profiles. Residential users prevail in urban areas while planning mixed-use neighbourhoods would contribute to having complementary loads towards urban RECs. Mixed areas can optimise the use of renewable production at different hours and limit demand pressures on the network. However, detailed spatial analyses are required to cluster building functions for long-term benefits. This work investigates which mix of building functions in urban blocks can maximise energy self-consumption and self-sufficiency. Five blocks combining residential with productive and tertiary activities are chosen, from a completely residential to a heterogeneous mix. The single loads use representative buildings for the Italian context. The integration of building functions flattens the energy peak loads in the district while increasing the use of PV production. The study identifies the residential and non-residential ratios to maximise energy selfconsumption and self-sufficiency. Domestic users would mainly exploit the production from nearby non-domestic buildings, but adequate exchange mechanisms and upgrade of infrastructure still need to be implemented.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".