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Dynamic Simulation and Thermoeconomic Analysis of a Trigeneration System in a Hospital Application

Author

Listed:
  • Francesco Calise

    (Department of Industrial Engineering, University of Naples Federico II, 80125 Naples, Italy)

  • Francesco Liberato Cappiello

    (Department of Industrial Engineering, University of Naples Federico II, 80125 Naples, Italy)

  • Massimo Dentice d’Accadia

    (Department of Industrial Engineering, University of Naples Federico II, 80125 Naples, Italy)

  • Luigi Libertini

    (Department of Industrial Engineering, University of Naples Federico II, 80125 Naples, Italy)

  • Maria Vicidomini

    (Department of Industrial Engineering, University of Naples Federico II, 80125 Naples, Italy)

Abstract

Hospitals are very attractive for Combined Heat and Power (CHP) applications, due to their high and continuous demand for electric and thermal energy. However, both design and control strategies of CHP systems are usually based on an empiric and very simplified approach, and this may lead to non-optimal solutions. The paper presents a novel approach based on the dynamic simulation of a trigeneration system to be installed in a hospital located in Puglia (South Italy), with around 600 beds, aiming to investigate the energy and economic performance of the system, for a given control strategy (electric-load tracking). The system includes a natural gas fired reciprocating engine (with a rated power of 2.0 MW), a single-stage LiBr-H 2 O absorption chiller (with a cooling capacity of around 770 kW), auxiliary gas-fired boilers and steam generators, electric chillers, cooling towers, heat exchangers, storage tanks and several additional components (pipes, valves, etc.). Suitable control strategies, including proportional–integral–derivative (PID) and ON/OFF controllers, were implemented to optimize the trigeneration performance. The model includes a detailed simulation of the main components of the system and a specific routine for evaluating the heating and cooling demand of the building, based on a 3-D model of the building envelope. All component models were validated against experimental data provided by the manufacturers. Energy and economic models were also included in the simulation tool, to calculate the thermoeconomic performance of the system. The results show an excellent economic performance of the trigeneration system, with a payback period equal to 1.5 years and a profitability index (ratio of the Net Present Value to the capital cost) equal to 3.88, also due to the significant contribution of the subsidies provided by the current Italian regulation for CHP systems (energy savings certificates).

Suggested Citation

  • Francesco Calise & Francesco Liberato Cappiello & Massimo Dentice d’Accadia & Luigi Libertini & Maria Vicidomini, 2020. "Dynamic Simulation and Thermoeconomic Analysis of a Trigeneration System in a Hospital Application," Energies, MDPI, vol. 13(14), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3558-:d:382732
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    References listed on IDEAS

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    1. Buonomano, Annamaria & Calise, Francesco & Palombo, Adolfo & Vicidomini, Maria, 2016. "BIPVT systems for residential applications: An energy and economic analysis for European climates," Applied Energy, Elsevier, vol. 184(C), pages 1411-1431.
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    4. Calise, Francesco & Dentice d'Accadia, Massimo & Libertini, Luigi & Quiriti, Edoardo & Vicidomini, Maria, 2017. "A novel tool for thermoeconomic analysis and optimization of trigeneration systems: A case study for a hospital building in Italy," Energy, Elsevier, vol. 126(C), pages 64-87.
    5. Bracco, Stefano & Delfino, Federico, 2017. "A mathematical model for the dynamic simulation of low size cogeneration gas turbines within smart microgrids," Energy, Elsevier, vol. 119(C), pages 710-723.
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    Cited by:

    1. Alfredo Gimelli & Massimiliano Muccillo, 2021. "Development of a 1 kW Micro-Polygeneration System Fueled by Natural Gas for Single-Family Users," Energies, MDPI, vol. 14(24), pages 1-21, December.
    2. Hyoung Tae Kim & Gen Soo Song & Sangwook Han, 2020. "Power Generation Optimization of the Combined Cycle Power-Plant System Comprising Turbo Expander Generator and Trigen in Conjunction with the Reinforcement Learning Technique," Sustainability, MDPI, vol. 12(20), pages 1-14, October.
    3. Muhammad Tauseef Nasir & Michael Chukwuemeka Ekwonu & Yoonseong Park & Javad Abolfazli Esfahani & Kyung Chun Kim, 2021. "Assessment of a District Trigeneration Biomass Powered Double Organic Rankine Cycle as Primed Mover and Supported Cooling," Energies, MDPI, vol. 14(4), pages 1-24, February.
    4. Alvaro A. S. Lima & Gustavo de N. P. Leite & Alvaro A. V. Ochoa & Carlos A. C. dos Santos & José A. P. da Costa & Paula S. A. Michima & Allysson M. A. Caldas, 2020. "Absorption Refrigeration Systems Based on Ammonia as Refrigerant Using Different Absorbents: Review and Applications," Energies, MDPI, vol. 14(1), pages 1-41, December.

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