DocumentCode :
164438
Title :
Investigating thermal inertia in lightweight buildings for demand response
Author :
Zhiheng Zhao ; Verbic, Gregor ; Fiorito, Francesco
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
fYear :
2014
fDate :
Sept. 28 2014-Oct. 1 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents the use of buildings´ thermal inertia as virtual thermal energy storage (TES) in smart home energy management systems (SHEMS). TES provides residential users with an additional degree of flexibility and helps them scheduling the energy usage in the off-peak periods to reduce the energy expenditure. Phase change materials (PCM) are added in the insulation of a lightweight building to increase its thermal inertia. We show through simulations that the addition of the PCM makes it possible to significantly shift the operation of the Heating, Ventilation and Air Conditioning (HVAC) system while still meeting the residents´ comfort requirements. In the SHEMS, TES is treated an additional distributed energy resource. We develop the mathematical model of the underlying thermody-namical system and analyse the impact of the PCM layer. Due to the inherent properties of the PCM, the resulting optimisation problem becomes non-convex, which requires the use of heuristic optimisation tools. In this paper, we used genetic algorithm to minimise the energy expenditure. The results show that the use of PCMS effectively sheds and shifts the demand to off-peak periods thus reducing the cost for the user.
Keywords :
HVAC; buildings (structures); energy management systems; genetic algorithms; phase change materials; thermal energy storage; HVAC system; demand response; distributed energy resource; energy usage; genetic algorithm; heuristic optimisation tools; lightweight buildings; phase change materials; smart home energy management systems; thermal inertia; virtual thermal energy storage; Buildings; Educational institutions; Mathematical model; Optimization; Phase change materials; Resistance heating; Home energy management; demand response; distributed energy resources; future grids; genetic algorithms; load shifting; phase change materials; smart grid; thermal inertia; thermodynamic process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Conference (AUPEC), 2014 Australasian Universities
Conference_Location :
Perth, WA
Type :
conf
DOI :
10.1109/AUPEC.2014.6966612
Filename :
6966612
Link To Document :
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