A Pricing Control Algorithm for Industrial Demand Response Considering Disturbances

Author(s):  
Kai Ma ◽  
Yege Bai ◽  
Jinlong Wang ◽  
Congshan Wang ◽  
Jie Yang
Author(s):  
Hessam Golmohamadi ◽  
Reza Keypour ◽  
Birgitte Bak-Jensen ◽  
Jayakrishnan R. Pillai

Energy Policy ◽  
2020 ◽  
Vol 147 ◽  
pp. 111893
Author(s):  
Jan Stede ◽  
Karin Arnold ◽  
Christa Dufter ◽  
Georg Holtz ◽  
Serafin von Roon ◽  
...  

2019 ◽  
Vol 15 (2) ◽  
pp. 942-953 ◽  
Author(s):  
Xu Gong ◽  
Ying Liu ◽  
Niels Lohse ◽  
Toon De Pessemier ◽  
Luc Martens ◽  
...  

2020 ◽  
Author(s):  
Jan Stede ◽  
Karin Arnold ◽  
Christa Dufter ◽  
Georg Holtz ◽  
Serafin von Roon ◽  
...  

2015 ◽  
Vol 3 (1) ◽  
pp. 131-138 ◽  
Author(s):  
Mingtao YAO ◽  
Zhaoguang HU ◽  
Ning ZHANG ◽  
Wei DUAN ◽  
Jian ZHANG

Procedia CIRP ◽  
2019 ◽  
Vol 81 ◽  
pp. 998-1003 ◽  
Author(s):  
Marc-Fabian Körner ◽  
Dennis Bauer ◽  
Robert Keller ◽  
Martin Rösch ◽  
Andreas Schlereth ◽  
...  

2021 ◽  
Vol 246 ◽  
pp. 09006
Author(s):  
Yuchen Ju ◽  
Juha Jokisalo ◽  
Risto Kosonen ◽  
Ville Kauppi ◽  
Philipp Janßen

In order to realize the vision of climate neutrality, the proportion of renewable sources is increasing in the energy system. To accommodate the energy system, demand response (DR) has been established to make the building energy use flexible. This study aims to investigate the effect of DR actions on energy flexibility in a Finnish district heated apartment building. The rule-based control algorithm was applied for the DR control of space heating based on the Finnish dynamic hourly district heat price. This research was implemented with the validated dynamic building simulation tool IDA ICE. The obtained results show that price fluctuation impacts the DR control and further affects the amount of charging and discharging energies. February has the maximum hourly district heat price with the largest variation, which results in the maximum charging energy of 968 kWh during a single charging period being close to the heat storage capacity of a fully mixed 28 m3 water tank with ∆T of 30 K. The studied demand response control can significantly shape the heating power demand of the buildings and increase the flexibility of the energy use.


2020 ◽  
Vol 86 ◽  
pp. 81-93 ◽  
Author(s):  
Andrew Allman ◽  
Qi Zhang

Sign in / Sign up

Export Citation Format

Share Document