A hierarchical scheme for balancing user comfort and electricity consumption of tank water heaters

Demand response (DR) programs offered by utility companies to residential consumers can negatively affect user comfort because of altering a regular operation of domestic devices. Advanced DR solutions need to account for flexibility of device usage in the form of energy savings that the customers can agree with. Specialized control schemes should inform utility companies about the level of such possible savings. This paper presents a hierarchical scheme that allows to control a domestic hot water storage system according to user comfort requests. The scheme uses a multi-objective optimization approach to interconnect comfort and electricity consumption of the tank water heater. The simulations show that the proposed control can not only significantly (by 95.6%) improve the user thermal comfort during hot water activities, but can also reduce energy consumption by 16.4% as compared to the weekly regular operation of the heater.

[1]  Nirvana Meratnia,et al.  Enhancing user comfort models for demand response solutions for domestic water heating systems , 2016, 2016 5th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS).

[2]  J. V. Lee,et al.  Legionella and the Prevention of Legionellosis , 2007 .

[3]  N. Pflugradt,et al.  Analysing low-voltage grids using a behaviour based load profile generator , 2013 .

[4]  Nirvana Meratnia,et al.  Reducing user discomfort in direct load control of domestic water heaters , 2015, 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[5]  Fulli Gianluca,et al.  Smart Grid Projects in Europe - Lessons Learned and Current Developments , 2011 .

[6]  Wei-Jen Lee,et al.  A Residential Consumer-Centered Load Control Strategy in Real-Time Electricity Pricing Environment , 2007, 2007 39th North American Power Symposium.

[7]  Maurice G. C. Bosman.  Planning in smart grids , 2012 .

[8]  V. Robertson,et al.  Electrotherapy Explained: Principles and Practice , 1990 .

[9]  Liuchen Chang,et al.  A centralized fuzzy controller for aggregated control of domestic water heaters , 2009, 2009 Canadian Conference on Electrical and Computer Engineering.

[10]  Nuno Silva,et al.  Using Flexibility Information for Planning the Energy Demand of Households , 2015, SMARTGREENS/VEHITS.

[11]  Walid G. Morsi,et al.  A novel demand side management program using water heaters and particle swarm optimization , 2010, 2010 IEEE Electrical Power & Energy Conference.