Building Supply Chain for Mass Refurbishment of Houses :Thermal Performance - Determining an energy modelling methodology to be used in the ETIThermal Efficiency Project (WP1)
Bibliographic record
Abstract
This project looked at designing a supply chain solution to improve the energy efficiency of the vast majority of the 26 million UK homes which will still be in use by 2050.It looked to identify ways in which the refurbishment and retrofitting of existing residential properties can be accelerated by industrialising the processes of design, supply and implementation, while stimulating demand from householders by exploiting additional opportunities that come with extensive building refurbishment.The project developed a top-to-bottom process, using a method of analysing the most cost-effective package of measures suitable for a particular property, through to how these will be installed with the minimum disruption to the householder. This includes identifying the skills required of the people on the ground as well as the optimum material distribution networks to supply them with exactly what is required and when.<br><br>This report provides a review & assessment of the various building modelling approaches used in the UK, France, Germany & USA.The objective being to provide a recommendation for the building modelling procedure to be used through the remainder of the OTEoEH project.<br><br>An initial investigation of existing energy models of dwelling performance identified 26 models in use the UK, France, Germany, USA and Canada which may be of interest to the project.The models have been assessed against the requirements of the project, which were identified through a User Requirements exercise carried out by BRE.<br><br>The assessment of models recommends that the energy modelling methodology consist of:A stock model that uses a simplified energy model as its calculation engine.A simplified model for individual dwelling calculations (the same model as used in the stock model).A detailed simulation model (or models) for individual dwelling modelling in situations where such a model is necessary.The assessment concludes that BREDEM(2009) is the most suitable energy methodology for the stock and simplified models, with the choice of detailed simulation models determined by specific questions and queries as required.It is also recommended that, within the main model, alternatives to some empirically determined BREDEM algorithms are considered as appropriate<br><br>Please note this report was produced in 2011/2012 and its contents may be out of date
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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 | 0.000 | 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".