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Record W6981785333

Feasibility study of integrating hybrid renewable energy systems into a multi-unit residential building (MURB): A case-study in Montreal metropolitan area

2023· other· en· W6981785333 on OpenAlexaboutno aff

Bibliographic record

VenueEspace École de technologie supérieure (École de technologie supérieure) · 2023
Typeother
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRenewable energyPhotovoltaic systemWind powerContext (archaeology)Electricity generationSolar energyGrid parityHybrid powerWind speed
DOInot available

Abstract

fetched live from OpenAlex

In a context of dense urbanization, hybrid renewable energy systems HRES could be a convenient alternative to the conventional form of electricity generation and its respective grid enhancement. Solar and wind power are the most accessible form of energy resources with complementarity capability. Wind and solar energy systems seem to be the most appropriate amongst renewable energy sources for urban districts. Because of the stochastic nature of wind and solar resources which causes less efficiency of the system, a combined system employing both technologies will complement shortcomings. This Thesis investigates the energy yield assessment and financial feasibility of two proposed grid-connected hybrid solar photovoltaic and wind energy systems for a multi-unit residential building (MURB) in Montreal, Canada.
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\nThis research is conducted using RETScreen energy management analysis tool, with external climate data from NASA and NRCan being incorporated into the software for enhanced accuracy. This meteorological information includes wind speed, wind direction, amount of solar irradiance and air temperature at hourly intervals. The model is configured for maximum annual energy production. Two system configurations with varying ratios of solar PV and wind power capacity of 90kW and 100kW have been proposed as well as a reference scenario. The energy system is sized according to the space constraints of the building, consumption demand, and financial considerations. The wind turbine and photovoltaic panel units have been selected from a pool of commercially available products that offered the highest output power at the lowest investment cost. Product weight and dimensions, as well as logistics, were also studied. The feasibility of producing energy and cost savings from HRES are evaluated for all Canadian provinces and adjacent states regarding the energy output and price if the system was relocated in those regions.
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\nThe financial savings were calculated assuming the electricity generated by the system was consumed rather than purchased from the grid. Amongst two scenarios that were investigated, the system with the lowest cost ($0.145 per kWh) produced over 30-years of life span was considered to be the most feasible in Montreal. Both proposed systems covered more than a third of the building's energy needs over the course of the year. In July, the system with more wind capacity met more than 75% of the load demand and produced 3.85% more annual energy than the other system. Results from equally sized wind/PV reference scenario indicates that wind power is likely to generate more energy than solar PV in the Montreal area. However the photovoltaic system seem to be more favorable for this case-study considering other factors. The system configuration with more hybrid renewable energy produced 151 MWh of energy per year for the assessed site. In the end, the sufficiency of wind and solar power resources is validated, but the feasibility of a building-integrated wind/PV hybrid energy system is largely depends on the cost of electricity of the area.

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)0.002
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0090.009
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0030.004
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 head0.039
GPT teacher head0.327
Teacher spread0.287 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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