Empowering energy flexibility and climate resilience using collective intelligence based demand side management (CI-DSM)
Paper i proceeding, 2021

This work investigates the effectiveness of Collective intelligence (CI) in demand side management (DSM) in urban areas to cope with extreme climate events. CI is a form of distributed intelligence that emerges in collaborative problem solving and decision making. It is used in a simulation platform to control the energy performance of buildings in an urban area in Stockholm, through developing CI-DSM and setting certain adaptation measures, including phase shifting in HVAC systems and building appliances. CI-DSM is developed based on a simple communication strategy among buildings, using forward (1) and backward (0) signals, corresponding to applying and disapplying the adaptation measures. The performance of CI-DSM is simulated for three climate scenarios representing typical, extreme cold and extreme warm years in Stockholm. According to the results, CI-DSM increases the autonomy and agility of the system in responding to climate shocks without the need for computationally extensive central decision making systems. CI-DSM helps to gradually and effectively decrease the energy demand and absorb the shock during extreme climate events.


Vahid Nik

Chalmers, Arkitektur och samhällsbyggnadsteknik, Byggnadsteknologi

Lunds universitet

Amin Moazami

Norges teknisk-naturvitenskapelige universitet

Journal of Physics: Conference Series

17426588 (ISSN) 17426596 (eISSN)

Vol. 2069 1 012149

8th International Building Physics Conference, IBPC 2021
Copenhagen, Virtual, Denmark,


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