Decision Support for Urban Wind Energy Extraction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The assessment of urban morphology-induced wind amplification, specifically in support of siting building-integrated and/or mounted UWECSs, is a very recent undertaking. Only a small number of wind turbine manufacturers are even exploring the development of suitably-scaled devices whose performance characteristics are tailored to urban wind conditions. As such, this research explored the feasibility of BAWT-theory in an urban setting through the development of a prototype Urban Wind Energy Planning (UWEP) Decision Support System (DSS). The prototype UWEP DSS focuses primarily on building aerodynamics-induced wind amplification, including consideration of peak-wind seasons. Microsoft® Excel was selected as the platform for the UWEP DSS, supporting development of user forms and integral databases. This tool is intended for a broad range of users, including the average home owner, UWECS developers, and energy planners. With minimal user input, the UWEP DSS determines the mean wind speed within the amplification zones, the location of the amplification zones, and the energy that could potentially be generated by an appropriately-sited UWECS. Two case study applications of the UWEP DSS were conducted to validate the estimations and demonstrate the capabilities of the tool. The University of Toronto Robarts Library application and the Green Venture EcoHouse application yielded credible mean wind speed and potential wind energy estimates on comparison to the online wind atlases. The EcoHouse case study application included the selection and siting of various UWECSs. It highlighted the potential of a hypothetical wind energy conversion device being able to generate almost 40% of the 700 kWh per month, average household energy demand. Conversely, it demonstrated that the traditional tower-mounted horizontal axis wind turbines, situated outside of the potential amplification zones in accordance with current siting guidelines, would only be able to generate 5% of the demand. By demonstrating the prototype UWEP DSS through an institutional and a residential application case study, it is hoped that the scope and capabilities of, and the amplified wind energy potential identified by, this tool will foster further research in urban wind energy planning, building aerodynamics-induced amplification assessment, and development of new UWECSs. The prototype UWEP DSS appears to be the first to estimate building aerodynamics-induced amplification from peak composite pressure-gust coefficients published in building codes. Further research is recommended to gain a better understanding of sustained, as opposed to peak, wind amplification. The modular nature of the UWEP DSS lends itself to the modifications that will undoubtedly be required as further knowledge is developed in this field.
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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 it