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Record W7023877070

Passive House Research & Development Centre  (CREST): How to meet net zero carbon with Passivhaus 

2017· article· en· W7023877070 on OpenAlexfundno aff

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2017
Typearticle
Languageen
FieldEngineering
TopicSolar Energy Systems and Technologies
Canadian institutionsnot available
FundersCore Research for Evolutional Science and TechnologyQueen's UniversityQueen's University Belfast
KeywordsRenewable energyPassive houseCarbon footprintEfficient energy usePavilionSustainable designSustainable developmentCarbon neutralityZero-energy building
DOInot available

Abstract

fetched live from OpenAlex

CREST – Centre for Renewable Energy & Sustainable Technologies is a project that we feel is worthy of presentation. The pavilion is one of the most sustainable buildings in the UK and Ireland meeting the Passive House standard, BREEAM Excellent and Net Carbon Zero.The ethos of the CREST centre is to create a sustainable technology research facility that can benefit others, by showcasing the technologies that are integrated with a very energy efficient building. The CREST pavilion building has the purpose of being a demonstration building for pioneering design principals and construction methods. It is an exemplar working model for other construction schemes.It was designed using all the principles of Passive House design and is the first educational building in Northern Ireland to have Passive House Certification.The building is also constructed using materials that meet the standards set out by BRE, CREST achieved the much sought after BREEAM rating of ‘Excellent’. Distinguished by 3 key sustainable credentials:1. Passive House Certified for energy efficient fabric and ventilation system.2. BREEAM Excellent the BRE sustainable benchmark for UK commercial buildings.3. Zero Carbon i.e. the building can offset its total annual primary energy consumption, with renewable energy generation onsite. Whilst a combination of two of these sustainable criteria has been carried out in other parts of the UK, this is the first example of a combination of all three. The combination of these credentials, integrated with the appropriate renewable technology makes this project a shining example of sustainable development.Carbon neutrality is achieved by virtue of the low energy input and sustainable energy technologies installed in connection with the building. There is 49kW of solar photo-voltaic panels installed at the Pavilion. This is comprised of a 45kWp robotic solar tracker – the first of its type to be installed in Europe – and 4kWp of wall mounted panels. In addition to the project, PhD level research has been undertaken and as part of the research the building is being monitored for Indoor Air Quality, Temperature, energy consumption, energy generation and energy storage. We feel we can deliver a unique presentation at your conference from the perspective as the client, the end user, the researcher and the trainer.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.044
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0060.005
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0440.022

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 head0.031
GPT teacher head0.263
Teacher spread0.231 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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