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Record W7101101651

Domestic Hot Water Heating in Zero Net Energy Homes. Department de Genie Mecanique. Ecole Polytechnique de

2015· article· en· W7101101651 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsTRNSYSZero-energy buildingPhotovoltaic systemHeat pumpElectricityElectric powerSolar energyThermal energyElectricity generationRenewable energy
DOInot available

Abstract

fetched live from OpenAlex

The objective of this paper is to examine different means of producing domestic hot water (DHW) in Zero net energy homes (ZNEH). Four alternatives are examined: i) a regular electric hot water tank; ii) the desuperheater of a ground-source heat pump with electric backup; iii) thermal solar collectors with electric backup; iv) a heat pump water heater (HPWH) indirectly coupled to a space conditioning ground-source heat pump. Energy simulations, using TRNSYS as the simulation engine, are performed to evaluate each alternative. The house simulated has 156 m2 of conditioned space and is located in a northern climate (Montréal, Canada). On site electrical production is accomplished using efficient photovoltaic (PV) modules generating 197.3 kWh/m2-year. Space conditioning is accomplished using an Energy Star 2.5 tons ground-source heat pump (GSHP). Results indicate that the alternative that uses thermal solar collectors is the best solution as it requires only 8.05 kW of peak PV power (compared to 8.75 kW for the next best solution). The total house energy requirements are around 11000 kWh. This amount of electricity has to be produced by the PV modules in order to achieve the ZNEH target.

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 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.894

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 head0.014
GPT teacher head0.244
Teacher spread0.230 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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
Published2015
Admission routes1
Has abstractyes

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