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Record W2099006917

Impact of Climate Change on an R-2000 and a Net Zero Energy Home

2010· dissertation· en· W2099006917 on OpenAlexaboutno aff
Ratnalee Patil

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2010
Typedissertation
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsHadCM3TRNSYSEnvironmental scienceClimate changeZero-energy buildingMeteorologyClimate modelEnergy consumptionElectricityClimatologyEfficient energy useEngineeringGeographyThermal
DOInot available

Abstract

fetched live from OpenAlex

The impact of the predicted climate change on the energy use of a residential building is studied. For this purpose, an R-2000 home built near Montreal, Canada is simulated using TRNSYS environment based on the construction documents. In order to calibrate the model, the simulated total annual electricity use is compared with the actual energy consumption from the utility bills. The simulation results are found in agreement with the actual energy use, with less than 2% difference. The study involves four cases: (i) the R-2000 home, i.e. the Base case, in today’s climate, (ii) the Base case under the predicted climate of 2050, (iii) the Base case converted into a Net Zero Energy Home (NZEH) in today’s climate, and (iv) the NZEH in the predicted climate of 2050. \n \nThe projections in terms of monthly data for temperature, solar radiation, relative humidity, and wind speed for 2050 for Montreal are extracted from three different global climate models (CGCM2, ECHAM4, and HadCM3) with two scenarios each, A2 and B2. Hourly data is generated from this monthly data. To convert the R-2000 home into a NZEH, various energy efficiency measures and technologies are used, along with a liquid-based hybrid PV/Thermal combi-system. Finally, a complete life cycle analysis (LCA) of cost, energy, and emissions for both the houses including all their systems and components is conducted. \n \nFor the Base case, the heating loads reduce by 11 to 22%, while the cooling loads increase by 25 to 93% by the mid-century. For the NZEH, a change in the PV/T production is observed by -1 to 4% for electrical and by -10 to 1% for thermal energy, due to the climate change. The LCA comparison between the two houses indicates that although it initially costs more, the NZEH becomes cost competitive with the Base case over the life span of 50 years. In spite of 40% higher embodied energy of the NZEH, the life cycle energy for the Base case is 1.5 to almost 3 times higher than the NZEH over the 30-50 year life span. The energy payback time is found to be 9.2 years for the PV, while 7 years for the combined PV/T. The life cycle emissions are found 14.5 and 29% less for the NZEH compared to the Base case over the life spans of 40 and 50 years, respectively.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.413

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.257
Teacher spread0.241 · 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 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

Citations1
Published2010
Admission routes1
Has abstractyes

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