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Effects of load-following operational methods on combined heat and power system efficiency

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  • Smith, Amanda D.
  • Mago, Pedro J.

Abstract

Combined heat and power (CHP) systems can be operated in partial loading situations when the maximum electrical and thermal output of the prime mover is not constantly required by the facility. Two basic load-following methods following the thermal load (FTL) and following the electric load (FEL), are compared with a hybrid method which either follows the thermal or the electric demand in a given time period, within a specified operating range, in order to minimize the amount of excess electrical or thermal energy produced by the CHP system. These methods are implemented on an hour by hour basis for a large hotel benchmark building which is modeled in 16 cities located in different climate zones using EnergyPlus building simulation software. The hybrid method results in a higher total CHP system efficiency than either the FTL or FEL methods, with CHP system efficiency values from 71% to 87%. The power-to-heat ratio of the building (PHRb), which describes the relationship between electrical and thermal demand for the given facility, is found to predict the maximum possible CHP system efficiency using the hybrid method on an hourly basis. Buildings with lower PHRb values, corresponding to higher relative thermal demands, have the highest possible CHP system efficiency values. The hybrid operational method is also implemented on a monthly basis, where the building’s average monthly demands are used to set the operating condition of the prime mover for the entire month. The building is then simulated on an hour by hour basis to determine the system’s performance with only monthly changes in the loading conditions. This monthly method produces similar results to the hybrid method when it is implemented on an hourly basis, with CHP system efficiency values from 74% to 86%.

Suggested Citation

  • Smith, Amanda D. & Mago, Pedro J., 2014. "Effects of load-following operational methods on combined heat and power system efficiency," Applied Energy, Elsevier, vol. 115(C), pages 337-351.
    • Handle: RePEc:eee:appene:v:115:y:2014:i:c:p:337-351
    DOI: 10.1016/j.apenergy.2013.10.063
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    References listed on IDEAS

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    1. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    2. Smith, Amanda D. & Mago, Pedro J. & Fumo, Nelson, 2011. "Emissions spark spread and primary energy spark spread – Environmental and energy screening parameters for combined heating and power systems," Applied Energy, Elsevier, vol. 88(11), pages 3891-3897.
    3. TeymouriHamzehkolaei, Fatemeh & Sattari, Sourena, 2011. "Technical and economic feasibility study of using Micro CHP in the different climate zones of Iran," Energy, Elsevier, vol. 36(8), pages 4790-4798.
    4. Verda, Vittorio & Baccino, Giorgia, 2012. "Thermoeconomic approach for the analysis of control system of energy plants," Energy, Elsevier, vol. 41(1), pages 38-47.
    5. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2011. "Influence analysis of building types and climate zones on energetic, economic and environmental performances of BCHP systems," Applied Energy, Elsevier, vol. 88(9), pages 3097-3112.
    6. Kopanos, Georgios M. & Georgiadis, Michael C. & Pistikopoulos, Efstratios N., 2013. "Energy production planning of a network of micro combined heat and power generators," Applied Energy, Elsevier, vol. 102(C), pages 1522-1534.
    7. Smith, Amanda D. & Fumo, Nelson & Mago, Pedro J., 2011. "Spark spread - A screening parameter for combined heating and power systems," Applied Energy, Elsevier, vol. 88(5), pages 1494-1499, May.
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