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Record W7053281515

Two case studies on indoor air quality in New YorkCity decarbonized affordable housing

2023· dissertation· en· W7053281515 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDSpace@MIT (Massachusetts Institute of Technology) · 2023
Typedissertation
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsApartmentIndoor air qualityVentilation (architecture)ParticulatesAir quality indexAir pollutionOccupancyMicroclimatePassive houseAir pollutants
DOInot available

Abstract

fetched live from OpenAlex

To mitigate the effects of climate change, building decarbonization and energy efficiency measures have expanded in scope. At the same time, interest has grown in how these changes affect indoor air quality (IAQ) and thus personal health. This thesis analyzes the concentrations of gas pollutants and particulate matter (PM) within occupied apartments in two New York City affordable housing projects, which we will refer to as Bushwick and Woodlawn. At Bushwick, we explore how gas and PM concentrations are impacted by retrofits that decarbonize the building and increase its energy efficiency to meet passive house standards. At Woodlawn, we monitor PM in a new development built to passive house standards to observe how concentrations are impacted by occupancy and controlled changes to ventilation and filtration settings. Results at Bushwick were limited by the availability of data and confounding factors but indicated the potential for a retrofit to passive house standards to improve IAQ. PM and gas sensors were initially installed in four apartments, but only one apartment (Apt. D) maintained both of these sensors online throughout the study. In addition, one apartment (Apt. A) kept only the PM sensor online and another (Apt. B) kept only the gas sensor online. This ultimately allowed us to analyze changes in PM and gas concentrations in two apartments each. Of note, a few tenants in Apt. D who used to smoke in the unit moved out during the retrofit, so these changes confounded any effect of the retrofit on air pollution that we hoped to observe. We observed statistically significant decreases in most gas and PM pollutants across apartments following the retrofit. PM1 saw the most steep decreases in PM, with mean concentrations dropping 55% in Apt. A and 44% in Apt. D after the retrofit. Amongst gases, mean CO2 concentrations decreased by 62% in Apt. B and 45% in Apt. D. This decrease in air pollution resulted in greater compliance with Health Canada IAQ guidelines after the retrofit. Results at Woodlawn were supported by strong data collection for a year in nine apartment units. By observing air pollution before and after tenants moved in, we determined that occupancy had a statistically significant effect in increasing PM concentrations in all observed apartments. We also observed that the combined effect of increasing ventilation rates by 25% and using in-unit HEPA filters resulted in statistically significant decreases in PM concentrations across most units. Across all interventions in occupancy, ventilation, and filtration, PM2.5 and PM10 concentrations in all units fully complied with WHO ambient air quality guidelines. Furthermore, air pollution indoors was consistently lower than that outdoors, evidence that passive house construction can keep indoor air quality high and protect residents from outdoor air pollution.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.038
GPT teacher head0.315
Teacher spread0.278 · 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