TY - JOUR
T1 - Energy-saving building system integration with a smart and low-cost sensing/control network for sustainable and healthy living environments
T2 - Demonstration case study
AU - Han, Kwang Hoon
AU - Zhang, Jensen
N1 - Funding Information:
This study was jointly supported by US DOE/CoE , NYSERDA , and Syracuse University . We thank you to the following colleagues for their technical supports and cooperation during the study design and field testing: Bing Guo, Majid Vafaeipour, Timothy M. Labreche, Bryan C. Morris, J. McMahon and S. McMahon.
Publisher Copyright:
© 2020
PY - 2020/5/1
Y1 - 2020/5/1
N2 - The present study examined in a field condition a smart integration to the control of ventilation/AC/lighting, integrated with the use of a smart sensing network, embedded PIR/CO2 sensors, and environmental system modeling towards considerable savings of building-operational cost/energy while providing satisfactory thermal comfort and indoor air quality (IAQ). For approach demonstration, a typical office building with multiple zones was utilized as testbed. The study 1) investigated the integrational effect of embedded PIR/CO2 sensors with a smart sensing network on occupancy detection/estimation; 2) field-monitored the energy benefits of an integrated smart sensing/control network in building-operations; and 3) examined the feasibility of further energy reduction via environmental system modeling. Two types of demonstration tests were performed under similar occupancy patterns and weather conditions; a) Baseline Test (3-day) with a normal building-operation following ASHRAE 62.1-2016 requirements, and b) Case Study (3-day) with a smart network-based demand control. Results showed substantial enhancements in occupancy accuracy and energy savings (up to 45% of fan electricity and 36.5% of room cooling/heating energy). The new approach provided satisfactory or similar levels of thermal comfort and IAQ. It was analyzed that the use of the environmental system modeling could further reduce the building-operational energy via more detailed control of ventilation.
AB - The present study examined in a field condition a smart integration to the control of ventilation/AC/lighting, integrated with the use of a smart sensing network, embedded PIR/CO2 sensors, and environmental system modeling towards considerable savings of building-operational cost/energy while providing satisfactory thermal comfort and indoor air quality (IAQ). For approach demonstration, a typical office building with multiple zones was utilized as testbed. The study 1) investigated the integrational effect of embedded PIR/CO2 sensors with a smart sensing network on occupancy detection/estimation; 2) field-monitored the energy benefits of an integrated smart sensing/control network in building-operations; and 3) examined the feasibility of further energy reduction via environmental system modeling. Two types of demonstration tests were performed under similar occupancy patterns and weather conditions; a) Baseline Test (3-day) with a normal building-operation following ASHRAE 62.1-2016 requirements, and b) Case Study (3-day) with a smart network-based demand control. Results showed substantial enhancements in occupancy accuracy and energy savings (up to 45% of fan electricity and 36.5% of room cooling/heating energy). The new approach provided satisfactory or similar levels of thermal comfort and IAQ. It was analyzed that the use of the environmental system modeling could further reduce the building-operational energy via more detailed control of ventilation.
KW - Building sustainability
KW - CO-integrated occupancy estimation
KW - Complementary data fusion
KW - Energy savings
KW - Field energy monitoring
KW - Implementation practicality
KW - Low-cost sensor integration
KW - Smart sensing network
UR - http://www.scopus.com/inward/record.url?scp=85080076090&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85080076090&partnerID=8YFLogxK
U2 - 10.1016/j.enbuild.2020.109861
DO - 10.1016/j.enbuild.2020.109861
M3 - Article
AN - SCOPUS:85080076090
SN - 0378-7788
VL - 214
JO - Energy and Buildings
JF - Energy and Buildings
M1 - 109861
ER -