Achieving Solar Energy in Architecture-IEA SHC Task 41
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
Despite the wide diversity of available solar technologies, solar energy systems are still not considered as main stream technologies in building practice. This may be attributed to several factors such as lack of awareness and knowledge among architects, lack of tools supporting the design process, and lack of solar products designed for building integration. In order to address these issues, the IEA SHC Task 41 “Solar Energy and Architecture” was carried out during 2009 to 2012. The main aim was to promote the use of solar energy systems within high quality architecture. The main expected outcome is an increased use of solar energy in buildings, reducing the non-renewable energy use and GHG emissions. Fourteen countries participated. The work was organized in three subtasks: A) integration criteria and guidelines, B) tools and methods for architects, and C) case studies and communication guidelines. This article presents an overview of the Task's activities and results. The results include an inventory of computer tools, a literature review, a survey on solar systems perception and use by architects, a survey on needs regarding tools for solar design, recommendations for computer tool developers and different guidelines for solar product developers and architects. Finally an extensive collection of more than 250 case studies with integration of solar systems was evaluated and resulting in the online publication of around 65 selected cases demonstrating inspiring solar architecture. The results of Task 41 are also currently being disseminated through seminars and workshops for building professionals.
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 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