← ARITRO DE
01 PUBLISHED 02 IN WORK 03 PROJECT & CLASS WORK
RESEARCH

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A closer look at the two research threads from the homepage, plus the coursework and internship projects that led to them.

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01 · PUBLISHED
Peer-reviewed and conference work that has made it through review.
IBPSA BUILDING SIMULATION 2025

Impact of Ceiling Fans on Thermal Comfort and Energy Efficiency in Institutional Buildings: A Case of New Delhi, India

De, A. & Kabre, C. · Proceedings of Building Simulation 2025, 19th Conference of IBPSA, Brisbane, Australia
ABSTRACT · VERBATIM

The study, with field measurement and simulations, explores the effect of ceiling fans on thermal comfort and energy performance of an educational building under the composite climate of New Delhi. While the adaptive comfort models consider thermal adaptation, their modeling always ignores the ceiling fan contribution. In October, 7 days of field research showed a 34% thermal acceptability enhancement when set to an optimal air speed of 0.2 m/s; this extended the thermal comfort zone by 2.5°C, reduced discomfort hours from 84% annually to 71%, and from 64% during the study period. Without fans, the energy simulation indicated that 82% of simulated hours fell outside the IMAC comfort band (21.55–28.75°C). Dismissed was also that when the comfort band was adjusted 2.5°C lower, the discomfort hours were cut to 42%, in tandem with the survey's 38% comfort in the presence of fans. The survey also noted preferred changes in fan speed that act adaptively and cannot be completely simulated with static simulations. Also, combined use of ceiling fans with air conditioning could lead to a possible 30% saving in energy when compared to air conditioning alone use. The findings provide support for the ceiling fan role in creating more comfort with a reduced cooling demand for institutions. Future studies should be focused on seasonal and climatic variations for better integration into adaptive comfort models.

34%
higher thermal acceptability at 0.2 m/s fan speed
+2.5°
wider comfort zone with fans engaged
30%
potential savings, fans plus AC vs. AC alone
FIG. 0 · COMFORT ZONE, IMAC BAND
18°C 32°C
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FIG. 1 · ANNUAL DISCOMFORT HOURS
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NO FANS
WITH FANS
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FIG. 2 · HOURS OUTSIDE THE IMAC BAND
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NO FANS
ADJUSTED BAND
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FIG. 3 · THERMAL ACCEPTABILITY vs. FAN SPEED
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75%
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25%
0%
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02 · IN WORK
Under review or in progress.
ESS OPEN ARCHIVE · UNDER REVIEW

Outcome-Based Code Sufficiency for Residential Indoor Air Quality in an Industrial Fenceline Community

De, A. et al. · Case study: Jefferson County, Texas (Beaumont–Port Arthur industrial corridor)
VIEW PREPRINT ↗
FROM THE PAPER

"This paper empirically finds in Jefferson County that no tract achieves joint sufficiency under current conditions, and that weatherization produces a near-zero Code Sufficiency Probability shift. The failure decomposes into physical and adoption-side pathways, and a low-cost portable filtration alternative delivers a 25 percent benefit at a fortieth of the per-resident capital cost. As a matter of policy, it argues that outcome-based evaluation criteria are needed to complement input-based code compliance assessments in industrial corridors, and that the framework developed here can be transferred to any jurisdiction where outdoor air regulation and residential codes apply concurrently, without specifying indoor exposure outcomes."

<1/3
best-case chance of joint sufficiency, countywide
≈0
CSP shift from weatherization alone
25%
CSP benefit from portable filtration
1/40th
the per-resident capital cost of filtration vs. weatherization
FIG. 3 · WEATHERIZATION VS. FILTRATION, ΔCSP
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WEATHERIZATION
FILTRATION
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FIG. 4 · WHY PM2.5 AND VOC FAIL DIFFERENTLY
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FIG. 5 · CODE SUFFICIENCY BY SCENARIO, COUNTYWIDE MEDIAN
100%
75%
50%
25%
0%
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ONGOING · NSF I-CORPS CUSTOMER DISCOVERY
Buildings as Grid Assets
Mapping how rooftop solar, batteries, and smart loads fit into the ERCOT market as distributed energy resources, through structured customer discovery interviews with utilities and grid operators.
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03 · PROJECT & CLASS WORK
Research-track coursework and internship projects that fed into the threads above.
INDIAN INSTITUTE FOR HUMAN SETTLEMENTS · 2022
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Machine Learning for Indoor Temperature Prediction
Built a machine learning model to predict indoor temperature in mixed-mode buildings, cutting modeled cooling loads by up to 60 percent relative to a conservative baseline.
BEST PAPER AWARD · FARU 2022
The model used random forest and gradient boosting regressors trained on field-measured indoor temperature, outdoor conditions, and occupancy patterns from mixed-mode institutional buildings in New Delhi. Feature importance analysis revealed that outdoor temperature and relative humidity were the dominant predictors, while ceiling fan state provided a secondary but consistent reduction in predicted cooling load. The 60 percent reduction in estimated cooling load came from replacing a conservative fixed-setpoint baseline with the data-driven model’s more accurate representation of actual thermal behavior.
FEATURE IMPORTANCE · GRADIENT BOOSTING
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UT AUSTIN · GRADUATE RESEARCH · 2025
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Probabilistic Multi-Pollutant Exposure Analysis
A Monte Carlo analysis combining energy and air quality simulation to estimate exposure uncertainty across housing archetypes, the methodological groundwork for the code sufficiency paper above.
COURSE + RESEARCH PROJECT
Used 10,000 Monte Carlo iterations to propagate uncertainty in infiltration rates, emission factors, and building envelope properties through a coupled CONTAM/EnergyPlus simulation pipeline. The analysis quantified how indoor PM2.5 and VOC concentrations vary across eight housing archetypes spanning four code eras, revealing that pre-1980 homes have both the highest median exposure and the widest uncertainty band. This probabilistic framework became the methodological foundation for the Code Sufficiency Probability metric used in the published IAQ paper.
PM2.5 EXPOSURE DISTRIBUTION · 10,000 ITERATIONS
high
low
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50
100+
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