Simulating Occupancy in Office Buildings with Non-Homogeneous Markov Chains for Demand Response Analysis [Elektronisk resurs]
-
Sandels, Claes (författare)
-
The IEEE Power & Energy Society General Meeting, July 26-30, 2015 2015
-
Widén, Joakim (författare)
-
Nordström, Lars (författare)
-
PSMIX (medarbetare)
-
PSMIX (medarbetare)
-
KTH Skolan för elektro- och systemteknik (EES) (utgivare)
- Publicerad: IEEE conference proceedings, 2015
- Engelska.
-
Ingår i: Power & Energy Society General Meeting, 2015 IEEE. ; 1-5
-
Läs hela texten
-
Läs hela texten
-
Läs hela texten
-
Läs hela texten
Sammanfattning
Ämnesord
Stäng
- Demand Response (DR) is a promising solution todeal with supply/demand imbalances in the power systems. To appreciate the availability of DR, it is important to include enduser behavior in the analysis. In this paper, a model that can generate representative occupancy profiles in single office rooms is presented. The used method is non-homogeneous Markov chain modeling, along with exploratory data analysis of occupancy data, and an estimation of occupancy levels for different months and weekdays. The Markov chain model is calibrated with occupancy sensor data from 24 single rooms collected from an office building floor in Sweden. The simulation results have been statistically compared with a test data set consisting of occupancy data in 23 other rooms on the same floor. It was shown that the model could reproduce key occupancy properties of the test data.
Ämnesord
- Engineering and Technology (hsv)
- Electrical Engineering, Electronic Engineering, Information Engineering (hsv)
- Teknik och teknologier (hsv)
- Elektroteknik och elektronik (hsv)
Indexterm och SAB-rubrik
- Occupancy patterns
- Office buildings
- Demand Response
- Non-homogeneous Markov chains
Inställningar
Hjälp
Uppgift om bibliotek saknas i LIBRIS
Kontakta ditt bibliotek, eller sök utanför LIBRIS. Se högermenyn.