The role of smart community microgrids in Aotearoa's energy future
Bibliographic record
Abstract
There is a pressing need to expand electricity production in Aotearoa New Zealand to meet sustainability goals and lower energy costs. This new generation needs to be based on renewable sources, chiefly wind and solar, for both sustainability and economic reasons. While there remains a role for the legacy grid, microgrids provide a means of co-locating generation with load, minimising transmission line investment and energy losses. This paper explores the advantages of smart community microgrids in this context, but also examines the challenges in terms of the existing legacy grid approach. Three case studies are given as examples, covering an isolated community with no grid connection, a more conventional residential community of 30 households, and a community with local commercial/industrial loads in addition to housing. These case studies show the benefits in terms of local consumption of locally generated electricity coupled with sharing or local trading within the community. Microgrids can support New Zealand's transition to a more electrified, equitable, economical and low-emissions energy system, but their development does require not just exploitation of new technologies, but also adjustment to the legacy grid model and a fresh approach to electricity infrastructure planning and management.
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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 | 0.001 | 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 | 0.001 | 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".