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Record W4404822956 · doi:10.1080/15623599.2024.2430928

CCC2023_possibilities of obtaining energy from aerodynamic phenomena occurring in selected housing estates in Warsaw, Poland

2024· article· en· W4404822956 on OpenAlex
Anna Stefańska, Maja Sutkowska, Julia Krawczyk, Małgorzata Kurcjusz, Agnieszka Chudzińska, Marta Poćwierz, Saurav Dixit

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Construction Management · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsImpact
Fundersnot available
KeywordsAerodynamicsEnergy (signal processing)Architectural engineeringBusinessEngineeringAerospace engineeringPhysics

Abstract

fetched live from OpenAlex

The study uses wind tunnel experiments to explore the potential for harnessing wind energy from aerodynamic phenomena in selected housing estates in Warsaw, Poland. Aimed at addressing the challenges posed by the European ‘Fit for 55’ resolution, our research focuses on the energy recovery capabilities of large-panel technology buildings established in the latter half of the twentieth century. We aim to provide a roadmap for integrating wind energy solutions into urban planning and design by analyzing the aerodynamic effects within urban environments. Our methodology includes qualitative assessments of wind patterns around residential neighbourhoods and their impact on potential wind energy utilization. Results indicate that specific urban configurations can significantly enhance the efficiency of wind energy harvesting, offering a promising avenue for sustainable urban development. This study contributes to the growing field of renewable energy research by highlighting the untapped potential of urban wind resources and proposing design considerations for future architectural projects.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.222
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it