Thermal modelling for demand response of residential buildings

Energy storage is considered as the dominant factor for the conventional grid to transition into smart grid. The current energy storage technologies have deficits in efficiency, flexibility and are not environmentally friendly. Researchers have proposed to use thermal mass of residential buildings as a medium for storing energy by modifying the behaviour of air-conditioning system. This paper presents a view on the proposed energy storage medium, thermal mass. From simulating the performance of building thermal elements using RC network representation, the possibility of adapting thermal inertia as a means of energy storage is evaluated. With analysis based on a variety of renewable energy generation and demand profile, an optimized material selection is made to further improve the efficiency of the system.

[1]  Terrence Chen,et al.  Short term cloud coverage prediction using ground based all sky imager , 2014, 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[2]  James E. Braun,et al.  An Inverse Gray-Box Model for Transient Building Load Prediction , 2002 .

[3]  Fangxing Li,et al.  Hardware Design of Smart Home Energy Management System With Dynamic Price Response , 2013, IEEE Transactions on Smart Grid.

[4]  Nelson Fumo,et al.  Methodology to estimate building energy consumption using EnergyPlus Benchmark Models , 2010 .

[5]  Gerhard Czeplak,et al.  Solar and terrestrial radiation dependent on the amount and type of cloud , 1980 .

[6]  Michael C. Jensen,et al.  VALUE MAXIMIZATION, STAKEHOLDER THEORY, AND THE CORPORATE OBJECTIVE FUNCTION , 2001 .

[7]  S. Klein Calculation of monthly average insolation on tilted surfaces , 1976 .

[8]  Luisa F. Cabeza,et al.  Phase change materials and thermal energy storage for buildings , 2015 .

[9]  Luisa F. Cabeza,et al.  Experimental Study of PCM Inclusion in Different Building Envelopes , 2009 .

[10]  C. Y. Chien,et al.  The distributed energy resources operation for EV charging stations and SHEMS in microgrids , 2014, 2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG).

[11]  Henrik Madsen,et al.  Identifying suitable models for the heat dynamics of buildings , 2011 .

[12]  Nirmal-Kumar C. Nair,et al.  Impact of Energy Storage in Buildings on Electricity Demand Side Management , 2011, Thermal Energy Storage with Phase Change Materials.