Adam Rysanek, University of British Columbia

Research

Bayesian calibration Bayesian processes Building data analytics Building performance simulation Energy demand High-performance buildings Low-carbon building systems Machine learning

Latest papers

The effect of air purifiers and curtains on aerosol dispersion and removal in multi-patient hospital rooms.
Indoor air · 2022
A fresh (air) look at ventilation for COVID-19: Estimating the global energy savings potential of coupling natural ventilation with novel radiant cooling strategies.
Applied energy · 2021
Membrane-assisted radiant cooling for expanding thermal comfort zones globally without air conditioning.
Proceedings of the National Academy of Sciences of the United States of America · 2020 · senior author

All 4 publications

Latest funding

Energy Recovery: Connecting Core Performance to Building Systems
NSERC · 2022 · Co-investigator
$100,134
Bayesian processes for calibration of building performance simulation models and optimisation of building energy systems design
NSERC · 2019 · Principal investigator
$12,500
Bayesian processes for calibration of building performance simulation models and optimisation of building energy systems design
NSERC · 2019 · Principal investigator
$189,000

All 3 grants and awards

4 publications.

01

The effect of air purifiers and curtains on aerosol dispersion and removal in multi-patient hospital rooms.

Rogak SN, Rysanek A, Lee JM, Dhulipala SV, Zimmerman N, Wright M, Weimer M

Indoor air2022

DOI: 10.1111/ina.13110 PMID: 36305060

02

A fresh (air) look at ventilation for COVID-19: Estimating the global energy savings potential of coupling natural ventilation with novel radiant cooling strategies.

Aviv D, Chen KW, Teitelbaum E, Sheppard D, Pantelic J, Rysanek A, Meggers F

Applied energy2021

DOI: 10.1016/j.apenergy.2021.116848 PMID: 33776191

03

Membrane-assisted radiant cooling for expanding thermal comfort zones globally without air conditioning.

Teitelbaum E, Chen KW, Aviv D, Bradford K, Ruefenacht L, Sheppard D, Teitelbaum M, Meggers F, Pantelic J, Rysanek A

Proceedings of the National Academy of Sciences of the United States of America2020Senior author

DOI: 10.1073/pnas.2001678117 PMID: 32817481

04

Globe thermometer free convection error potentials.

Teitelbaum E, Chen KW, Meggers F, Guo H, Houchois N, Pantelic J, Rysanek A

Scientific reports2020Senior author

DOI: 10.1038/s41598-020-59441-1 PMID: 32060327

Energy Recovery: Connecting Core Performance to Building Systems

Co-investigatorNSERC2022Alliance Grants

Principal investigators: Rogak, Steven SN

Keywords: buildings; energy recovery; fluid mechanics; heat transfer; hvac; mass transfer; membranes; ventilation

$100,134

Bayesian processes for calibration of building performance simulation models and optimisation of building energy systems design

Principal investigatorNSERC2019Discovery Launch Supplement

Principal investigators: Rysanek, Adam

$12,500

Bayesian processes for calibration of building performance simulation models and optimisation of building energy systems design

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Rysanek, Adam

Keywords: bayesian calibration; stochastic optimisation; building performance simulation; energy demand; high-performance buildings; bayesian processes; surrogate modelling; building data analytics; machine learning; low-carbon building systems

$189,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Naomi Zimmerman

Mechanical Engineering - The University of British Columbia

1 shared papers, latest 2022

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2019

Subject: Prospective PhD student: Bayesian calibration Dear Professor Rysanek, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "The effect of air purifiers and curtains on aerosol dispersion and removal in multi-patient hospital rooms." (2022), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Bayesian processes for calibration of building performance simulation models and optimisation of building energy systems design" (2019), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]