Operation Strategies of Residential Micro Combined Heat and Power Technologies

Reduction of CO2 emissions has become a priority for
several countries due to increasing concerns about global warming
and climate change, especially in the developed countries. Residential
sector is considered one of the most important sectors for
considerable reduction of CO2 emissions since it represents a
significant amount of the total consumed energy in those countries. A
significant CO2 reduction cannot be achieved unless some initiatives
have been adopted in the policy of these countries. Introducing micro
combined heat and power (!CHP) systems into residential energy
systems is one of these initiatives, since such a technology offers
several advantages. Moreover, !CHP technology has the opportunity
to be operated not only by natural gas but it could also be operated by
renewable fuels. However, this technology can be operated by
different operation strategies. Each strategy has some advantages and
disadvantages.
This paper provides a review of different operation strategies of
such a technology used for residential energy systems, especially for
single dwellings. The review summarizes key points that outline the
trend of previous research carried out in this field.

• Omar A Shaneb
• Adell S. Amer

• Energy management
• !CHP systems
• residential energy systems
• sustainable houses
• operation strategy.

[1] J. Cockroft and N. Kelly, "A comparative assessment of future heat and
power sources for the UK domestic sector," Energy Conversion and
Management, vol. 47, pp. 2349-2360, Sep. 2006.
[2] M. De Paepe and D. Mertens, "Combined heat and power in a liberalised
energy market," Energy Conversion and Management, vol. 48, pp. 2542-
2555, Sep. 2007.
[3] O. A. Shaneb, et al., "Micro combined heat and power technologies and
control for residential applications," International Journal of Renewable
Energy Technology, vol. 1, pp. 325-347, Mar. 2010.
[4] P. Taylor, "Active Network Management as an enabler for the
proliferation of domestic combined heat and power," in 12th
International Stirling Engine Conference, Durham, UK, 2005.
[5] O. A. Shaneb and P. Taylor, "An evaluation of integrated fuel cell and
energy storage systems for residential applications," in The 44th UPEC
conference, Glasgow-UK, 2009.
[6] O. A. Shaneb and P. C. Taylor, "Evaluation of alternative operating
strategies for residential micro combined heat and power," in IEEE
Energy Conference, Manama-Bahrain, pp. 143-148, Dec. 2010.
[7] H. Onovwiona and V. Ugursal, "Residential cogeneration systems:
review of the current technology," Renewable and Sustainable Energy
Reviews, vol. 10, pp. 389-431,Oct. 2006.
[8] M. Newborough, "Assessing the benefits of implementing micro-CHP
systems in the UK," Proceedings of the Institution of Mechanical
Engineers, Part A: Journal of Power and Energy, vol. 218, pp. 203-218,
June. 2004.
[9] O. Shaneb, P. Taylor and G. Coates, "Optimal Online Operation of
Residential μCHP Systems using Linear Programming," Energy and
Buildings, vol. 44, pp. 17-25, Jan. 2012.
[10] Kong, et al., "Energy optimization model for a CCHP system with
available gas turbines," Applied thermal engineering, vol. 25, pp. 377-
391, Feb. 2005.
[11] H. J. Ehmke, "Size optimization for cogeneration plants," Energy, vol.
15, pp. 35-44, Jan. 1990.
[12] A. Hawkes and M. Leach, "Modeling high level system design and unit
commitment for a micro grid," Applied energy, vol. 86, pp. 1253-1265,
July- Aug. 2009.
[13] N. A. Tibi and H. Arman, "A linear programming model to optimize the
decision-making to managing cogeneration system," Clean Technologies
and Environmental Policy, vol. 9, pp. 235-240, Nov. 2007.
[14] G. Sundberg and D. Henning, "Investments in combined heat and power
plants: influence of fuel price on cost minimized operation," Energy
Conversion and Management, vol. 43, pp. 639-650, Mar. 2002.
[15] S. Gamou, et al., "Optimal unit sizing of cogeneration systems in
consideration of uncertain energy demands as continuous random
variables," Energy Conversion and Management, vol. 43, pp. 1349-
1361, Aug. 2002.
[16] A. Peacock and M. Newborough, "Impact of micro CHP systems on
domestic sector CO2 emissions," Applied thermal engineering, vol. 25,
pp. 2653-2676, Dec. 2005.
[17] A. Hawkes and M. Leach, "The capacity credit of micro-combined heat
and power," Energy Policy, vol. 36, pp. 1457-1469, Apr. 2008.
[18] T. Thanh and K. K. Ahn, "Nonlinear PID control to improve the control
performance of 2 axes pneumatic artificial muscle manipulator using
neural network," Mechatronics, vol. 16, pp. 577-587, Nov. 2006.
[19] Van der Veen, R. , Balancing market performance in a decentralized
electricity system in the Netherlands, Thesis report master SEPAM,
Technology University Delft, Oct. 2007.
[20] H. Aki, et al., "Operational strategies of networked fuel cells in
residential homes," Power Systems, IEEE Trans on, vol. 21, pp. 1405-
1414, July. 2006.
[21] Hawkes, A.D. and Leach, M.A., ‘On policy instruments for support of
micro combined heat and power’, Energy Policy, Vol. 36, pp. 2973-
2982, Aug. 2008.
[22] J. Harrison, et al., "MICRO CHP implications for energy companies,"
Cogeneration and on-Site Power Production, vol. 1, Mar. 1999.
[23] H. I. Onovwiona, et al., "Modeling of internal combustion engine based
cogeneration systems for residential applications," Applied thermal
engineering, vol. 27, pp. 848-861, Apr. 2007.
[24] A. Hawkes and M. Leach, "Cost-effective operating strategy for
residential micro-combined heat and power," Energy, vol. 32, pp. 711-
723, May. 2007.
[25] M. Houwing, and I. Bouwmans, "Agent-based modeling of residential
energy generation with micro-CHP" Proceedings of the second
international conference on integration of renewable and distributed
energy resources, Napa, CA, USA, Dec. 2006.
[26] N. Fumo, P.J. Mago, and M.L. Chamra, "Emission operational strategy
for combined cooling, heating, and power systems", Applied Energy,
Vol. 86, No. 11, pp. 2344-2350, Nov. 2009.
[27] M. Geidl, "Integrated modeling and optimization of multi-carrier energy
systems," PhD Thesis, Swiss Federal Institute of Technology (ETH),
(2007).
[28] S. Caux, et al., "On-line fuzzy energy management for hybrid fuel cell
systems," International Journal of Hydrogen Energy, vol. 35, pp. 2134-
2143, Mar. 2010.
[29] C. C. Lin, et al., "Power management strategy for a parallel hybrid
electric truck," Control Systems Technology, IEEE Trans. on, vol. 11,
pp. 839-849, Nov. 2003.
[30] S. Delprat, et al., "Control of a parallel hybrid powertrain: optimal
control," Vehicular Technology, IEEE Trans. on, vol. 53, pp. 872-881,
May. 2004.
[31] S. Kutter and B. Baker, "An iterative algorithm for the global optimal
predictive control of hybrid electric vehicles,", pp. 1-6, Sept. 2011.
[32] Z. Ouyang and S. Shahidehpour, "A hybrid artificial neural networkdynamic
programming approach to unit commitment," Power Systems,
IEEE Trans. on, vol. 7, pp. 236-242, Feb. 1992.
[33] M. Tanrioven and M. Alam, "Impact of load management on reliability
assessment of grid independent PEM fuel cell power plants," Journal of
power sources, vol. 157, pp. 401-410, June. 2006.
[34] P. Srinivasan, "Dynamic Modeling and Control of a Proton Exchange
Membrane Fuel Cell as a Distributed generator," Master Thesis, Ohio
State University, USA, 2003.
[35] A. Mellit, et al., "Artificial intelligence techniques for sizing
photovoltaic systems: A review," Renewable and Sustainable Energy
Reviews, vol. 13, pp. 406-419, Feb. 2009.
[36] S. A. Kalogirou, "Artificial intelligence for the modeling and control of
combustion processes: a review," Progress in Energy and Combustion
Science, vol. 29, pp. 515-566, Sept 2003.
[37] O. Shaneb, P. Taylor and G. Coates, “Real Time Fuzzy Logic Operation
of Residential !CHP Systems”, Energy and Buildings Journal, Vol. 55,
Issue (12), pp. 141-150, Dec. 2012.