Potential for Net-Zero Energy Communities in Kuwait: An Empirical Techno-Economic Modeling and Optimization Approach
Bibliographic record
Abstract
A net-zero energy community (NZEC) is a promising paradigm that can directly contribute to a sustainable building sector and infrastructure. This research presents a unique empirical techno-economic optimization and evaluation approach for NZEC potential and enablers through its application to the understudied context of Kuwait. The proposed approach is unique, as it integrates data-driven and physics-based modelling capabilities, captures the impact of urban form on NZEC techno-economic performance, and quantifies through sensitivity analyses the impact of potential enablers in overcoming financial barriers to adoption. Results indicate that NZECs are far from being competitive in Kuwait compared to the business-as-usual scenario of electricity grid purchase at highly subsidized tariffs. Increasing electricity rates to a minimum of 0.03 $/kWh is recommended, coupled with investing in energy efficiency and enabling grid sell-back capabilities. Finally, results indicate that the energy demand profiles of office and multi-family buildings are more advantageous for efficient NZEC design and performance than villas, the most predominant building type in Kuwait. Limiting the share of NZEC energy demand from villas to 25% helps avoid excessive energy generation and storage capacities and costs.
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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".