Energy saving potentials of integrating personal thermal comfort models for control of building systems: Comprehensive quantification through combinatorial consideration of influential parameters-Reference-Cited by-同舟云学术

Energy saving potentials of integrating personal thermal comfort models for control of building systems: Comprehensive quantification through combinatorial consideration of influential parameters

Published:2020-06 Issue: Volume:268 Page:114882
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Jung Wooyoung,Jazizadeh Farrokh^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference50 articles.

1. Human-in-the-loop HVAC operations: A quantitative review on occupancy, comfort, and energy-efficiency dimensions;Jung;Appl Energy,2019

2. Jazizadeh F, et al. Personalized thermal comfort driven control in HVAC operated office buildings. In: ASCE international workshop on computing in civil engineering (IWCCE) conference; 2013.

3. Energy consequences of Comfort-driven temperature setpoints in office buildings;Aryal;Energy Build,2018

4. User-led decentralized thermal comfort driven HVAC operations for improved efficiency in office buildings;Jazizadeh;Energy Build,2014

5. A knowledge based approach for selecting energy-aware and comfort-driven HVAC temperature set points;Ghahramani;Energy Build,2014

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