HVAC Energy Saving in IPS-enabled Large Space: An Occupancy Distribution Based Demand-driven Control Approach

Wei WANG; Yujie Lu; Gongsheng HUANG; Xiaowei LUO; Jiayu CHEN

doi:10.1016/j.egypro.2017.03.587

HVAC Energy Saving in IPS-enabled Large Space: An Occupancy Distribution Based Demand-driven Control Approach

Wei WANG
, Yujie Lu
, Gongsheng HUANG
, Xiaowei LUO
, Jiayu CHEN^*

^*Corresponding author for this work

Department of Architecture and Civil Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

4 Citations (Scopus)

98 Downloads (CityUHK Scholars)

Abstract

Occupancy attracts an increasing attention in recent building energy efficiency research through enabling more sophisticated control strategies. With the development of latest indoor positing systems (IPS), the facility managers are able to detect the geospatial distribution of building occupants. Based on such information, this paper proposes a demand-driven control system for HVAC control in large spaces to reconcile occupants’ thermal comfort demand and energy consumption. Comparing to conventional temperature and CO2 based HVAC control systems, the new approach integrates the indoor positions of occupants and a demand-oriented and PID-based ventilation control mechanism. An computational fluid dynamic simulation is constructed to valid the proposed control system. Air supply flow rate and temperature distribution are captured for three sample cases that have even and uneven occupancy distributions in the simulation. By avoiding overcooling and unnecessary cooling, the proposed approach could save a significant amount of electrical consumption from HVAC operation.

Original language	English
Pages (from-to)	2083-2088
Journal	Energy Procedia
Volume	105
DOIs	https://doi.org/10.1016/j.egypro.2017.03.587
Publication status	Published - 1 Jun 2017
Event	8th International Conference on Applied Energy – ICAE 2016 - Beijing, China, Beijing, China Duration: 9 Oct 2016 → 11 Oct 2016 http://www.applied-energy.org/icae2016/#hero1 http://www.sciencedirect.com/science/journal/18766102/105 http://www.applied-energy.org/icae2016/#hero1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 12 Responsible Consumption and Production

Research Keywords

build energy efficiency
indoor positioning system
occupancy distribution
temperature distribution

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This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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title = "HVAC Energy Saving in IPS-enabled Large Space: An Occupancy Distribution Based Demand-driven Control Approach",

abstract = "Occupancy attracts an increasing attention in recent building energy efficiency research through enabling more sophisticated control strategies. With the development of latest indoor positing systems (IPS), the facility managers are able to detect the geospatial distribution of building occupants. Based on such information, this paper proposes a demand-driven control system for HVAC control in large spaces to reconcile occupants{\textquoteright} thermal comfort demand and energy consumption. Comparing to conventional temperature and CO2 based HVAC control systems, the new approach integrates the indoor positions of occupants and a demand-oriented and PID-based ventilation control mechanism. An computational fluid dynamic simulation is constructed to valid the proposed control system. Air supply flow rate and temperature distribution are captured for three sample cases that have even and uneven occupancy distributions in the simulation. By avoiding overcooling and unnecessary cooling, the proposed approach could save a significant amount of electrical consumption from HVAC operation.",

keywords = "build energy efficiency, indoor positioning system, occupancy distribution, temperature distribution",

author = "Wei WANG and Yujie Lu and Gongsheng HUANG and Xiaowei LUO and Jiayu CHEN",

year = "2017",

month = jun,

day = "1",

doi = "10.1016/j.egypro.2017.03.587",

language = "English",

volume = "105",

pages = "2083--2088",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd.",

note = "8th International Conference on Applied Energy – ICAE 2016 ; Conference date: 09-10-2016 Through 11-10-2016",

url = "http://www.applied-energy.org/icae2016/\#hero1, http://www.sciencedirect.com/science/journal/18766102/105, http://www.applied-energy.org/icae2016/\#hero1",

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TY - JOUR

T1 - HVAC Energy Saving in IPS-enabled Large Space

T2 - 8th International Conference on Applied Energy – ICAE 2016

AU - WANG, Wei

AU - Lu, Yujie

AU - HUANG, Gongsheng

AU - LUO, Xiaowei

AU - CHEN, Jiayu

PY - 2017/6/1

Y1 - 2017/6/1

N2 - Occupancy attracts an increasing attention in recent building energy efficiency research through enabling more sophisticated control strategies. With the development of latest indoor positing systems (IPS), the facility managers are able to detect the geospatial distribution of building occupants. Based on such information, this paper proposes a demand-driven control system for HVAC control in large spaces to reconcile occupants’ thermal comfort demand and energy consumption. Comparing to conventional temperature and CO2 based HVAC control systems, the new approach integrates the indoor positions of occupants and a demand-oriented and PID-based ventilation control mechanism. An computational fluid dynamic simulation is constructed to valid the proposed control system. Air supply flow rate and temperature distribution are captured for three sample cases that have even and uneven occupancy distributions in the simulation. By avoiding overcooling and unnecessary cooling, the proposed approach could save a significant amount of electrical consumption from HVAC operation.

AB - Occupancy attracts an increasing attention in recent building energy efficiency research through enabling more sophisticated control strategies. With the development of latest indoor positing systems (IPS), the facility managers are able to detect the geospatial distribution of building occupants. Based on such information, this paper proposes a demand-driven control system for HVAC control in large spaces to reconcile occupants’ thermal comfort demand and energy consumption. Comparing to conventional temperature and CO2 based HVAC control systems, the new approach integrates the indoor positions of occupants and a demand-oriented and PID-based ventilation control mechanism. An computational fluid dynamic simulation is constructed to valid the proposed control system. Air supply flow rate and temperature distribution are captured for three sample cases that have even and uneven occupancy distributions in the simulation. By avoiding overcooling and unnecessary cooling, the proposed approach could save a significant amount of electrical consumption from HVAC operation.

KW - build energy efficiency

KW - indoor positioning system

KW - occupancy distribution

KW - temperature distribution

UR - https://www.scopus.com/pages/publications/85020739432

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85020739432&origin=recordpage

U2 - 10.1016/j.egypro.2017.03.587

DO - 10.1016/j.egypro.2017.03.587

M3 - RGC 21 - Publication in refereed journal

SN - 1876-6102

VL - 105

SP - 2083

EP - 2088

JO - Energy Procedia

JF - Energy Procedia

Y2 - 9 October 2016 through 11 October 2016

ER -

HVAC Energy Saving in IPS-enabled Large Space: An Occupancy Distribution Based Demand-driven Control Approach

Abstract

UN SDGs

Research Keywords

Publisher's Copyright Statement

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