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Multi-Energy School System for Seasonal Use in the Mediterranean Area

Author

Listed:
  • Antonino D’Amico

    (Department of Engineering, University of Palermo, Viale delle Scienze, Building n. 9, 90128 Palermo, Italy)

  • Domenico Panno

    (Department of Engineering, University of Palermo, Viale delle Scienze, Building n. 9, 90128 Palermo, Italy)

  • Giuseppina Ciulla

    (Department of Engineering, University of Palermo, Viale delle Scienze, Building n. 9, 90128 Palermo, Italy)

  • Antonio Messineo

    (Faculty of Engineering and Architecture, Kore University of Enna, Cittadella Universitaria, 94100 Enna, Italy)

Abstract

School buildings represent an energy-consuming sector of real estate where different efficiency actions are necessary. The literature shows how the design of a multi-energy system offers numerous advantages, however, there are problems related to the integration of cogeneration units with renewable energy sources due to the low flexibility of the first one and the high degree of uncertainty of the latter. The authors provide an alternative solution through the analysis of a case study consisting of a multiple energy system in three Sicilian schools, focusing on the system’s operational strategy, on the design and sizing of components and trying to exploit the energy needs complementarity of buildings instead of integrating the conventional energy storage systems. Not considering school activities in summer, it was decided to install a cogeneration unit sized on winter thermal loads, whereas the electricity demand not covered was reduced with photovoltaic systems designed to maximize production for seasonal use and with loads concentrated in the morning hours. The effectiveness of this idea, which can be replicated for similar users and areas, is proved by a payback time of less than 11 years and a reduction of 31.77% of the CO 2 emissions.

Suggested Citation

  • Antonino D’Amico & Domenico Panno & Giuseppina Ciulla & Antonio Messineo, 2020. "Multi-Energy School System for Seasonal Use in the Mediterranean Area," Sustainability, MDPI, vol. 12(20), pages 1-27, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8458-:d:427777
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    References listed on IDEAS

    as
    1. Franco, Alessandro & Versace, Michele, 2017. "Optimum sizing and operational strategy of CHP plant for district heating based on the use of composite indicators," Energy, Elsevier, vol. 124(C), pages 258-271.
    2. Ciulla, G. & D'Amico, A., 2019. "Building energy performance forecasting: A multiple linear regression approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    4. Lund, H & Münster, E, 2003. "Modelling of energy systems with a high percentage of CHP and wind power," Renewable Energy, Elsevier, vol. 28(14), pages 2179-2193.
    5. Lizana, Jesús & Ortiz, Carlos & Soltero, Víctor M. & Chacartegui, Ricardo, 2017. "District heating systems based on low-carbon energy technologies in Mediterranean areas," Energy, Elsevier, vol. 120(C), pages 397-416.
    6. Ferrari, Simone & Zagarella, Federica & Caputo, Paola & D'Amico, Antonino, 2019. "Results of a literature review on methods for estimating buildings energy demand at district level," Energy, Elsevier, vol. 175(C), pages 1130-1137.
    7. Luca Urbanucci & Francesco D’Ettorre & Daniele Testi, 2019. "A Comprehensive Methodology for the Integrated Optimal Sizing and Operation of Cogeneration Systems with Thermal Energy Storage," Energies, MDPI, vol. 12(5), pages 1-17, March.
    8. Thornton, Alexander & Monroy, Carlos Rodríguez, 2011. "Distributed power generation in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4809-4817.
    9. Ciulla, Giuseppina & Lo Brano, Valerio & D’Amico, Antonino, 2016. "Modelling relationship among energy demand, climate and office building features: A cluster analysis at European level," Applied Energy, Elsevier, vol. 183(C), pages 1021-1034.
    10. Lake, Andrew & Rezaie, Behanz & Beyerlein, Steven, 2017. "Review of district heating and cooling systems for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 417-425.
    11. Mignard, D. & Harrison, G.P. & Pritchard, C.L., 2007. "Contribution of wind power and CHP to exports from Western Denmark during 2000–2004," Renewable Energy, Elsevier, vol. 32(15), pages 2516-2528.
    12. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    13. Rezaie, Behnaz & Rosen, Marc A., 2012. "District heating and cooling: Review of technology and potential enhancements," Applied Energy, Elsevier, vol. 93(C), pages 2-10.
    14. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    15. Sergio Gómez Melgar & Miguel Ángel Martínez Bohórquez & José Manuel Andújar Márquez, 2018. "uhuMEB: Design, Construction, and Management Methodology of Minimum Energy Buildings in Subtropical Climates," Energies, MDPI, vol. 11(10), pages 1-34, October.
    16. D'Amico, A. & Ciulla, G. & Panno, D. & Ferrari, S., 2019. "Building energy demand assessment through heating degree days: The importance of a climatic dataset," Applied Energy, Elsevier, vol. 242(C), pages 1285-1306.
    17. Wang, Haichao & Yin, Wusong & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling, 2015. "Modelling and optimization of CHP based district heating system with renewable energy production and energy storage," Applied Energy, Elsevier, vol. 159(C), pages 401-421.
    18. Rosato, Antonio & Ciervo, Antonio & Ciampi, Giovanni & Sibilio, Sergio, 2019. "Effects of solar field design on the energy, environmental and economic performance of a solar district heating network serving Italian residential and school buildings," Renewable Energy, Elsevier, vol. 143(C), pages 596-610.
    19. Nuytten, Thomas & Claessens, Bert & Paredis, Kristof & Van Bael, Johan & Six, Daan, 2013. "Flexibility of a combined heat and power system with thermal energy storage for district heating," Applied Energy, Elsevier, vol. 104(C), pages 583-591.
    20. Ciulla, G. & D'Amico, A. & Lo Brano, V. & Traverso, M., 2019. "Application of optimized artificial intelligence algorithm to evaluate the heating energy demand of non-residential buildings at European level," Energy, Elsevier, vol. 176(C), pages 380-391.
    21. Revesz, Akos & Jones, Phil & Dunham, Chris & Davies, Gareth & Marques, Catarina & Matabuena, Rodrigo & Scott, Jim & Maidment, Graeme, 2020. "Developing novel 5th generation district energy networks," Energy, Elsevier, vol. 201(C).
    22. Connolly, D. & Lund, H. & Mathiesen, B.V. & Werner, S. & Möller, B. & Persson, U. & Boermans, T. & Trier, D. & Østergaard, P.A. & Nielsen, S., 2014. "Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system," Energy Policy, Elsevier, vol. 65(C), pages 475-489.
    23. Paola Marrone & Paola Gori & Francesco Asdrubali & Luca Evangelisti & Laura Calcagnini & Gianluca Grazieschi, 2018. "Energy Benchmarking in Educational Buildings through Cluster Analysis of Energy Retrofitting," Energies, MDPI, vol. 11(3), pages 1-20, March.
    24. Bloess, Andreas, 2020. "Modeling of combined heat and power generation in the context of increasing renewable energy penetration," Applied Energy, Elsevier, vol. 267(C).
    25. Giuseppina Nicolosi & Roberto Volpe & Antonio Messineo, 2017. "An Innovative Adaptive Control System to Regulate Microclimatic Conditions in a Greenhouse," Energies, MDPI, vol. 10(5), pages 1-17, May.
    26. Haeseldonckx, Dries & Peeters, Leen & Helsen, Lieve & D'haeseleer, William, 2007. "The impact of thermal storage on the operational behaviour of residential CHP facilities and the overall CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1227-1243, August.
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