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Exergoeconomics as a Cost-Accounting Method in Thermal Grids with the Presence of Renewable Energy Producers

Author

Listed:
  • Pietro Catrini

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Tancredi Testasecca

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Alessandro Buscemi

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

  • Antonio Piacentino

    (Department of Engineering, University of Palermo, 90128 Palermo, Italy)

Abstract

Thermal grids are efficient, reliable, and sustainable technologies for satisfying the thermal demands of buildings. The capability to operate at a low temperature allows not only for the integration of heat produced by renewable energy sources but also for the storage of surplus electricity from the grid via “power to heat” technologies. Besides, in the future, heat consumers are expected to behave increasingly as “prosumers”, supplying in some periods heat produced by renewable energy plants on site. In this scenario, it is important to propose a method for the cost allocation among producers connected to the grid. In this regard, this paper proposes Exergoeconomics as a possible tool for rational cost assignment. To show the capabilities of the method, some operating scenarios are compared for a cluster of five buildings of the tertiary sector interconnected by a thermal grid. Based on exergoeconomic indicators, such as the exergy and exergoeconomic unit costs, insights into the cost formation process of the heat consumed by users are provided. Sensitivity analyses of heat unit cost to design and operating variables are also performed. Results show that in the presence of distributed producers, the heat unit cost could be approximately 33% lower than in the case of centralized production, due to the lower amount of irreversibility generated. Capital investment accounts for 20–28% of the heat unit cost.

Suggested Citation

  • Pietro Catrini & Tancredi Testasecca & Alessandro Buscemi & Antonio Piacentino, 2022. "Exergoeconomics as a Cost-Accounting Method in Thermal Grids with the Presence of Renewable Energy Producers," Sustainability, MDPI, vol. 14(7), pages 1-27, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4004-:d:781689
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    1. Dorotić, Hrvoje & Pukšec, Tomislav & Schneider, Daniel Rolph & Duić, Neven, 2021. "Evaluation of district heating with regard to individual systems – Importance of carbon and cost allocation in cogeneration units," Energy, Elsevier, vol. 221(C).
    2. Ürge-Vorsatz, Diana & Cabeza, Luisa F. & Serrano, Susana & Barreneche, Camila & Petrichenko, Ksenia, 2015. "Heating and cooling energy trends and drivers in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 85-98.
    3. Fang, Tingting & Lahdelma, Risto, 2015. "Genetic optimization of multi-plant heat production in district heating networks," Applied Energy, Elsevier, vol. 159(C), pages 610-619.
    4. Stanek, Wojciech & Szargut, Jan & Kolenda, Zygmunt & Czarnowska, Lucyna, 2016. "Exergo-ecological and economic evaluation of a nuclear power plant within the whole life cycle," Energy, Elsevier, vol. 117(P2), pages 369-377.
    5. Brange, Lisa & Englund, Jessica & Lauenburg, Patrick, 2016. "Prosumers in district heating networks – A Swedish case study," Applied Energy, Elsevier, vol. 164(C), pages 492-500.
    6. Piacentino, Antonio & Barbaro, Chiara, 2013. "A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part II: Analysis of the applicative potential," Applied Energy, Elsevier, vol. 111(C), pages 1222-1238.
    7. Millar, Michael-Allan & Yu, Zhibin & Burnside, Neil & Jones, Greg & Elrick, Bruce, 2021. "Identification of key performance indicators and complimentary load profiles for 5th generation district energy networks," Applied Energy, Elsevier, vol. 291(C).
    8. Wirtz, Marco & Kivilip, Lukas & Remmen, Peter & Müller, Dirk, 2020. "5th Generation District Heating: A novel design approach based on mathematical optimization," Applied Energy, Elsevier, vol. 260(C).
    9. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
    10. Guelpa, Elisa & Verda, Vittorio, 2020. "Automatic fouling detection in district heating substations: Methodology and tests," Applied Energy, Elsevier, vol. 258(C).
    11. Beccali, M. & Ciulla, G. & Di Pietra, B. & Galatioto, A. & Leone, G. & Piacentino, A., 2017. "Assessing the feasibility of cogeneration retrofit and district heating/cooling networks in small Italian islands," Energy, Elsevier, vol. 141(C), pages 2572-2586.
    12. Sameti, Mohammad & Haghighat, Fariborz, 2019. "Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power," Renewable Energy, Elsevier, vol. 130(C), pages 371-387.
    13. Xiong, Jie & Zhao, Haibo & Zhang, Chao & Zheng, Chuguang & Luh, Peter B., 2012. "Thermoeconomic operation optimization of a coal-fired power plant," Energy, Elsevier, vol. 42(1), pages 486-496.
    14. Colmenar-Santos, Antonio & Rosales-Asensio, Enrique & Borge-Diez, David & Blanes-Peiró, Jorge-Juan, 2016. "District heating and cogeneration in the EU-28: Current situation, potential and proposed energy strategy for its generalisation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 621-639.
    15. Picallo-Perez, Ana & Catrini, Pietro & Piacentino, Antonio & Sala, José-Mª, 2019. "A novel thermoeconomic analysis under dynamic operating conditions for space heating and cooling systems," Energy, Elsevier, vol. 180(C), pages 819-837.
    16. Meesenburg, Wiebke & Ommen, Torben & Elmegaard, Brian, 2018. "Dynamic exergoeconomic analysis of a heat pump system used for ancillary services in an integrated energy system," Energy, Elsevier, vol. 152(C), pages 154-165.
    17. Allegrini, Jonas & Orehounig, Kristina & Mavromatidis, Georgios & Ruesch, Florian & Dorer, Viktor & Evins, Ralph, 2015. "A review of modelling approaches and tools for the simulation of district-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1391-1404.
    18. Valero, Antonio & Correas, Luis & Zaleta, Alejandro & Lazzaretto, Andrea & Verda, Vittorio & Reini, Mauro & Rangel, Victor, 2004. "On the thermoeconomic approach to the diagnosis of energy system malfunctions," Energy, Elsevier, vol. 29(12), pages 1875-1887.
    19. Aste, Niccolò & Caputo, Paola & Del Pero, Claudio & Ferla, Giulio & Huerto-Cardenas, Harold Enrique & Leonforte, Fabrizio & Miglioli, Alessandro, 2020. "A renewable energy scenario for a new low carbon settlement in northern Italy: Biomass district heating coupled with heat pump and solar photovoltaic system," Energy, Elsevier, vol. 206(C).
    20. Lozano, M.A. & Valero, A., 1993. "Theory of the exergetic cost," Energy, Elsevier, vol. 18(9), pages 939-960.
    21. Gudmundsson, Oddgeir & Schmidt, Ralf-Roman & Dyrelund, Anders & Thorsen, Jan Eric, 2022. "Economic comparison of 4GDH and 5GDH systems – Using a case study," Energy, Elsevier, vol. 238(PA).
    22. Mosaffa, A.H. & Garousi Farshi, L., 2016. "Exergoeconomic and environmental analyses of an air conditioning system using thermal energy storage," Applied Energy, Elsevier, vol. 162(C), pages 515-526.
    23. Bünning, Felix & Wetter, Michael & Fuchs, Marcus & Müller, Dirk, 2018. "Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization," Applied Energy, Elsevier, vol. 209(C), pages 502-515.
    24. Čož, T. Duh & Kitanovski, A. & Poredoš, A., 2017. "Exergoeconomic optimization of a district cooling network," Energy, Elsevier, vol. 135(C), pages 342-351.
    25. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    26. Buffa, Simone & Cozzini, Marco & D’Antoni, Matteo & Baratieri, Marco & Fedrizzi, Roberto, 2019. "5th generation district heating and cooling systems: A review of existing cases in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 504-522.
    27. Verda, Vittorio & Caccin, Marco & Kona, Albana, 2016. "Thermoeconomic cost assessment in future district heating networks," Energy, Elsevier, vol. 117(P2), pages 485-491.
    28. Werner, Sven, 2017. "International review of district heating and cooling," Energy, Elsevier, vol. 137(C), pages 617-631.
    29. Abusoglu, Aysegul & Tozlu, Alperen & Anvari-Moghaddam, Amjad, 2021. "District heating and electricity production based on biogas produced from municipal WWTPs in Turkey: A comprehensive case study," Energy, Elsevier, vol. 223(C).
    30. Piacentino, Antonio & Barbaro, Chiara & Cardona, Fabio & Gallea, Roberto & Cardona, Ennio, 2013. "A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part I: Description of the method," Applied Energy, Elsevier, vol. 111(C), pages 1204-1221.
    31. Torres, C. & Valero, A. & Rangel, V. & Zaleta, A., 2008. "On the cost formation process of the residues," Energy, Elsevier, vol. 33(2), pages 144-152.
    32. Neri, Manfredi & Guelpa, Elisa & Verda, Vittorio, 2022. "Design and connection optimization of a district cooling network: Mixed integer programming and heuristic approach," Applied Energy, Elsevier, vol. 306(PA).
    33. Sayyaadi, Hoseyn & Saffari, Arash, 2010. "Thermoeconomic optimization of multi effect distillation desalination systems," Applied Energy, Elsevier, vol. 87(4), pages 1122-1133, April.
    34. Valero, Antonio & Correas, Luis & Zaleta, Alejandro & Lazzaretto, Andrea & Verda, Vittorio & Reini, Mauro & Rangel, Victor, 2004. "On the thermoeconomic approach to the diagnosis of energy system malfunctions," Energy, Elsevier, vol. 29(12), pages 1889-1907.
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