TY - GEN
T1 - Demand controlled ventilation for electric demand side flexibility
AU - Vautrin, Anthony
AU - Troitzsch, Sebastian
AU - Ramachandran, Srikkanth
AU - Hamacher, Thomas
N1 - Publisher Copyright:
© 2019 Building Simulation Conference Proceedings. All rights reserved.
PY - 2019
Y1 - 2019
N2 - The intermittency of renewable electricity generation and the increasing peak demand due to electric mobility pose challenges to the electric grid operation. Demand side flexibility (DSF) is becoming an important technique to counter these challenges, where the air-conditioning demand of commercial buildings has a particularly high potential to serve as a flexible load. This paper proposes demand controlled ventilation (DCV) as a method to increase the DSF of air-conditioned commercial buildings. Two D C V strategies are proposed based on (1) occupancy-based ventilation according to A S H R A E Standard 62.1 and (2) an indoor air quality (IAQ) model. The i n - crease/changes in DSF are quantified for both the strategies. For a test case comprising a zone of an office building in Singapore, both D C V strategies are shown to increase the DSF when compared to a conservative ventilation strategy. For instance, the I A Q - based D C V strategy allows for scheduling strategic reserves six-fold higher than the conservative ventilation strategy.
AB - The intermittency of renewable electricity generation and the increasing peak demand due to electric mobility pose challenges to the electric grid operation. Demand side flexibility (DSF) is becoming an important technique to counter these challenges, where the air-conditioning demand of commercial buildings has a particularly high potential to serve as a flexible load. This paper proposes demand controlled ventilation (DCV) as a method to increase the DSF of air-conditioned commercial buildings. Two D C V strategies are proposed based on (1) occupancy-based ventilation according to A S H R A E Standard 62.1 and (2) an indoor air quality (IAQ) model. The i n - crease/changes in DSF are quantified for both the strategies. For a test case comprising a zone of an office building in Singapore, both D C V strategies are shown to increase the DSF when compared to a conservative ventilation strategy. For instance, the I A Q - based D C V strategy allows for scheduling strategic reserves six-fold higher than the conservative ventilation strategy.
UR - http://www.scopus.com/inward/record.url?scp=85107358117&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85107358117
T3 - Building Simulation Conference Proceedings
SP - 1716
EP - 1723
BT - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
A2 - Corrado, Vincenzo
A2 - Fabrizio, Enrico
A2 - Gasparella, Andrea
A2 - Patuzzi, Francesco
PB - International Building Performance Simulation Association
T2 - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Y2 - 2 September 2019 through 4 September 2019
ER -
