Timothy I. Salsbury

ORCID: 0000-0002-9456-8750
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About
Contact & Profiles
Research Areas
  • Advanced Control Systems Optimization
  • Fault Detection and Control Systems
  • Extremum Seeking Control Systems
  • Building Energy and Comfort Optimization
  • Control Systems and Identification
  • Refrigeration and Air Conditioning Technologies
  • Process Optimization and Integration
  • Combustion and flame dynamics
  • BIM and Construction Integration
  • Infection Control and Ventilation
  • Structural Health Monitoring Techniques
  • Industrial Automation and Control Systems
  • Plant Surface Properties and Treatments
  • Viral Infectious Diseases and Gene Expression in Insects
  • Smart Grid Energy Management
  • Advanced Control Systems Design
  • Hydraulic and Pneumatic Systems
  • Machine Fault Diagnosis Techniques
  • Mineral Processing and Grinding
  • Heat Transfer and Optimization
  • Probabilistic and Robust Engineering Design
  • COVID-19 epidemiological studies
  • Wireless Sensor Networks for Data Analysis
  • Iterative Learning Control Systems
  • Energy Efficiency and Management

Pacific Northwest National Laboratory
2021-2024

Battelle
2021-2023

Government of the United States of America
2023

Johnson Controls (United States)
2012-2021

Johnson Controls (Ireland)
2017

Lawrence Berkeley National Laboratory
1998-2000

VTT Technical Research Centre of Finland
1998

The objective of this study is to demonstrate the effectiveness model predictive control (MPC) in reducing energy and demand costs for buildings an electricity grid with time-of-use pricing charges. A virtual a single floor, multi-zone commercial building equipped variable air volume (VAV) cooling system built by Energyplus. Real-time data exchange between Energyplus Matlab controller realized introducing controls test bed (BCVTB) as middleware. System identification technique implemented...

10.1109/isgt.2011.5759140 article EN 2011-01-01

10.3182/20050703-6-cz-1902.01397 article EN IFAC Proceedings Volumes 2005-01-01

The building sector, primarily through heating, ventilation, and air conditioning (HVAC) systems, accounts for 30% of global final energy consumption 26% energy-related emissions, highlighting the urgency efficient management effective fault detection. Optimizing HVAC system performance is crucial conservation sustainability. This study introduces a hybrid modeling methodology to enhance systems' detection isolation (FDI). Using feature extraction principal component analysis (PCA)...

10.1016/j.compchemeng.2024.108717 article EN cc-by Computers & Chemical Engineering 2024-05-09

This article presents results from an experimental study to ascertain the transmissibility of SARS-CoV-2 virus between rooms in a building that are connected by central ventilation system. Respiratory droplet surrogates made mucus and mimics were released one room test building, measurements concentration levels other via The paper for different system configurations, including rate, filtration level (up MERV-13), fractional outdoor air intake. most important finding is respiratory droplets...

10.1111/ina.12940 article EN Indoor Air 2022-01-01

10.1016/j.enbuild.2023.112776 article EN publisher-specific-oa Energy and Buildings 2023-01-12

A feedforward controller based on simplified physical models is described for air-handling units to supplement conventional PI control. Inverse static of the controlled processes produce control action and feedback loop compensates modeling errors unmeasured disturbances. The are configurable from plant design information they operate using sensor signals typically available an unit controller. incorporation reduces reliance makes tuning less critical. Low gain (default) parameters may then...

10.1080/10789669.1998.10391404 article EN HVAC&R Research 1998-07-01

The paper describes a new method for estimating the poles of an ARMA model using higher-order crossings. involves transforming counts crossing events into estimates via autocorrelation domain. An important advantage is that are only features need to be stored from original data. ARM A control loop correspond roots characteristic equation and thus useful evaluating performance.

10.1109/acc.2005.1470698 article EN 2005-08-10

This paper presents a model reduction method based on balanced realization for thermal and power models of buildings. System identification is firstly performed to obtain high-order state-space models. The purpose simplify the structure while preserving major input-output relations, so as lower computational cost in subsequent predictive control (MPC) scheme. An economic objective function designed minimize energy demand charges building systems. effectiveness presented shown by simulation,...

10.1109/acc.2012.6315516 article EN 2022 American Control Conference (ACC) 2012-06-01
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