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Controlling micro-CHP systems to modulate electrical load profiles

Author

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  • Peacock, A.D.
  • Newborough, M.

Abstract

As micro-CHP systems move towards mass deployment an increasing emphasis will be placed on their effect on time-varying demands for network electricity. A 50 dwelling data set of heat and power demands was employed to investigate the implementation of various penetrations of μCHP system on the resultant electrical load profile using two control methodologies: heat-led and a proposed method for modulating the aggregate electrical load. The first caused the daily load factor of the net load profile to decrease from 42.5% to 28.6% on a January day and the after diversity maximum demand to decrease from 2.0 to 1.2kW. The second caused the daily load factor to increase from 42.5% to 48.6% and the after diversity maximum demand to decrease from 2.0 to 0.9kW. The extent to which these improvements in load factor can be achieved was investigated in detail and maximum resultant load factor values were identified for a day in January, April and July. Further improvements in the modulating capability of this control approach may be realised if prime movers capable of rapid start-up, shut-down and cycling can be developed. The control of micro-CHP systems in this manner offers a mechanism for managing the load at distribution transformers.

Suggested Citation

  • Peacock, A.D. & Newborough, M., 2007. "Controlling micro-CHP systems to modulate electrical load profiles," Energy, Elsevier, vol. 32(7), pages 1093-1103.
    • Handle: RePEc:eee:energy:v:32:y:2007:i:7:p:1093-1103
    DOI: 10.1016/j.energy.2006.07.018
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    Citations

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    Cited by:

    1. Hawkes, A.D. & Leach, M.A., 2008. "The capacity credit of micro-combined heat and power," Energy Policy, Elsevier, vol. 36(4), pages 1457-1469, April.
    2. Zehir, Mustafa Alparslan & Batman, Alp & Sonmez, Mehmet Ali & Font, Aytug & Tsiamitros, Dimitrios & Stimoniaris, Dimitris & Kollatou, Theofano & Bagriyanik, Mustafa & Ozdemir, Aydogan & Dialynas, Evan, 2017. "Impacts of microgrids with renewables on secondary distribution networks," Applied Energy, Elsevier, vol. 201(C), pages 308-319.
    3. Vuillecard, Cyril & Hubert, Charles Emile & Contreau, Régis & mazzenga, Anthony & Stabat, Pascal & Adnot, Jerome, 2011. "Small scale impact of gas technologies on electric load management – μCHP & hybrid heat pump," Energy, Elsevier, vol. 36(5), pages 2912-2923.
    4. Praveen Cheekatamarla & Ahmad Abu-Heiba, 2020. "A Comprehensive Review and Qualitative Analysis of Micro-Combined Heat and Power Modeling Approaches," Energies, MDPI, vol. 13(14), pages 1-26, July.
    5. Bird, Trevor J. & Jain, Neera, 2020. "Dynamic modeling and validation of a micro-combined heat and power system with integrated thermal energy storage," Applied Energy, Elsevier, vol. 271(C).
    6. Hawkes, A.D. & Leach, M.A., 2008. "On policy instruments for support of micro combined heat and power," Energy Policy, Elsevier, vol. 36(8), pages 2963-2972, August.
    7. Van der Veen, Reinier A.C. & De Vries, Laurens J., 2009. "The impact of microgeneration upon the Dutch balancing market," Energy Policy, Elsevier, vol. 37(7), pages 2788-2797, July.
    8. Peacock, A.D. & Newborough, M., 2008. "Effect of heat-saving measures on the CO2 savings attributable to micro-combined heat and power (μCHP) systems in UK dwellings," Energy, Elsevier, vol. 33(4), pages 601-612.
    9. Chicco, Gianfranco, 2012. "Overview and performance assessment of the clustering methods for electrical load pattern grouping," Energy, Elsevier, vol. 42(1), pages 68-80.
    10. Lee, Hoseong & Bush, John & Hwang, Yunho & Radermacher, Reinhard, 2013. "Modeling of micro-CHP (combined heat and power) unit and evaluation of system performance in building application in United States," Energy, Elsevier, vol. 58(C), pages 364-375.

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