A New Two-Degree-of-Freedom Space Heating Model for Demand Response
Anita Sant'Anna, Robert Bass
2014
Abstract
In today’s fast changing electric utilities sector demand response (DR) programs are a relatively inexpensive means of reducing peak demand and providing ancillary services. Advancements in embedded systems and communication technologies are paving the way for more complex DR programs based on transactive control. Such complex systems highlight the importance of modeling and simulation tools for studying and evaluating the effects of different control strategies for DR. Considerable efforts have been directed at modeling thermostatically controlled appliances. These models however operate with only one degree of freedom, typically, the thermal mass temperature. This paper proposes a two-degree-of-freedom residential space heating system composed of a thermal storage unit and forced convection system. Simulation results demonstrate that such system is better suited for maintaining thermal comfort and allows greater flexibility for DR programs. The performance of several control strategies are evaluated, as well as the effects of model and weather parameters on thermal comfort and power consumption.
References
- Albadi, M. and El-Saadany, E. (2007). Demand response in electricity markets: An overview. In Power Engineering Society General Meeting, 2007. IEEE, pages 1 -5.
- ANSI/ASHRAE 55-2004 (2004). Thermal environmental conditions for human occupancy. ASHRAE 55-2004. ANSI Approved.
- Chassin, D., Hammerstrom, D., and DeSteese, J. (2008). The pacific northwest demand response market demonstration. In Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, pages 1-6.
- Diao, R., Lu, S., Elizondo, M., Mayhorn, E., Zhang, Y., and Samaan, N. (2012). Electric water heater modeling and control strategies for demand response. In Power and Energy Society General Meeting, 2012 IEEE, pages 1 -8.
- DOE (1998). Results and methodology of the engineering analysis for residential water heater efficiency standards. US Department of Energy, Office of Codes and Standards.
- Du, P. and Lu, N. (2011). Appliance commitment for household load scheduling. Smart Grid, IEEE Transactions on, 2(2):411-419.
- Ericson, T. (2009). Direct load control of residential water heaters. Energy Policy, 37(9):3502 - 3512.
- Fahriog˜lu, M. and Alvarado, F. (2000). Designing incentive compatible contracts for effective demand management. Power Systems, IEEE Transactions on, 15(4):1255 -1260.
- Fuller, J., Schneider, K., and Chassin, D. (2011). Analysis of residential demand response and double-auction markets. In Power and Energy Society General Meeting, 2011 IEEE, pages 1-7.
- Jeter, S., Wepfer, W., Fadel, G., Cowden, N., and Dymek, A. (1987). Variable speed drive heat pump performance. Energy, 12(12):1289 - 1298.
- Kondoh, J., Lu, N., and Hammerstrom, D. (2011). An evaluation of the water heater load potential for providing regulation service. Power Systems, IEEE Transactions on, 26(3):1309 -1316.
- Lu, N. (2012). An evaluation of the hvac load potential for providing load balancing service. Smart Grid, IEEE Transactions on, 3(3):1263-1270.
- Lu, N., Chassin, D., and Widergren, S. (2005). Modeling uncertainties in aggregated thermostatically controlled loads using a state queueing model. Power Systems, IEEE Transactions on, 20(2):725-733.
- Mohsenian-Rad, A.-H., Wong, V., Jatskevich, J., Schober, R., and Leon-Garcia, A. (2010). Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. Smart Grid, IEEE Transactions on, 1(3):320- 331.
- Molina-Garcia, A., Kessler, M., Fuentes, J., and GomezLazaro, E. (2011). Probabilistic characterization of thermostatically controlled loads to model the impact of demand response programs. Power Systems, IEEE Transactions on, 26(1):241-251.
- Nehrir, M., LaMeres, B., and Gerez, V. (1999). A customerinteractive electric water heater demand-side management strategy using fuzzy logic. In Power Engineering Society 1999 Winter Meeting, IEEE, volume 1, pages 433 -436 vol.1.
- Olsen, L. and Rode, C. (2008). Heat capacity in relation to the danish building regulation. In Proceedings of the 8th Symposium on Building Physics in the Nordic Countries: Selected papers, volume 3, pages 16-18.
- Peeters, L., de Dear, R., Hensen, J., and D'haeseleer, W. (2009). Thermal comfort in residential buildings: Comfort values and scales for building energy simulation. Applied Energy, 86(5):772 - 780.
- Pipattanasomporn, M., Kuzlu, M., and Rahman, S. (2012). An algorithm for intelligent home energy management and demand response analysis. Smart Grid, IEEE Transactions on, 3(4):2166-2173.
- RECS (2001). Residential energy consumption surveys. US Energy Information Administration, Office of Energy Markets and End Use.
- Saele, H. and Grande, O. (2011). Demand response from household customers: Experiences from a pilot study in norway. Smart Grid, IEEE Transactions on, 2(1):102 -109.
- Schneider, K., Fuller, J., and Chassin, D. (2011). Analysis of distribution level residential demand response. In Power Systems Conference and Exposition (PSCE), 2011 IEEE/PES, pages 1-6.
- Shao, S., Pipattanasomporn, M., and Rahman, S. (2013). Development of physical-based demand responseenabled residential load models. Power Systems, IEEE Transactions on, 28(2):607-614.
- Spees, K. and Lave, L. B. (2007). Demand response and electricity market efficiency. The Electricity Journal, 20(3):69 - 85.
- Taha, W., Brauner, P., Cartwright, R., Gaspes, V., Ames, A., and Chapoutot, A. (2011). A core language for executable models of cyber physical systems: work in progress report. SIGBED Rev., 8(2):39-43.
Paper Citation
in Harvard Style
Sant'Anna A. and Bass R. (2014). A New Two-Degree-of-Freedom Space Heating Model for Demand Response . In Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-025-3, pages 5-13. DOI: 10.5220/0004734600050013
in Bibtex Style
@conference{smartgreens14,
author={Anita Sant'Anna and Robert Bass},
title={A New Two-Degree-of-Freedom Space Heating Model for Demand Response},
booktitle={Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,},
year={2014},
pages={5-13},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004734600050013},
isbn={978-989-758-025-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems - Volume 1: SMARTGREENS,
TI - A New Two-Degree-of-Freedom Space Heating Model for Demand Response
SN - 978-989-758-025-3
AU - Sant'Anna A.
AU - Bass R.
PY - 2014
SP - 5
EP - 13
DO - 10.5220/0004734600050013