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Smart Energy Systems: Guidelines for Modelling and Optimizing a Fleet of Units of Different Configurations

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  • Sergio Rech

    (Veil Energy Srl–San Pietro in Gu, 35010 Padova, Italy)

Abstract

The need to reduce fossil fuels consumption and polluting emissions pushes towards the search of systems that combine traditional and renewable energy conversion units efficiently. The design and management of such systems are not easy tasks because of the high level of integration between energy conversion units of different types and the need of storage units to match the availability of renewables with users’ requirements properly. This paper summarizes the basic theoretical and practical concepts that are required to simulate and optimize the design and operation of fleet of energy units of different configurations. In particular, the paper presents variables and equations that are required to simulate the dynamic behavior of the system, the operational constraints that allow each unit to operate correctly, and a suitable objective function based on economic profit. A general Combined Heat-and-Power (CHP) fleet of units is taken as an example to show how to build the dynamic model and formulate the optimization problem. The goal is to provide a “recipe” to choose the number, type, and interconnection of energy conversion and storage units that are able to exploit the available sources to fulfill the users’ demands in an optimal, and therefore “smart”, way.

Suggested Citation

  • Sergio Rech, 2019. "Smart Energy Systems: Guidelines for Modelling and Optimizing a Fleet of Units of Different Configurations," Energies, MDPI, vol. 12(7), pages 1-36, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1320-:d:220453
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    References listed on IDEAS

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    Cited by:

    1. Danieli, Piero & Carraro, Gianluca & Volpato, Gabriele & Cin, Enrico Dal & Lazzaretto, Andrea & Masi, Massimo, 2024. "Guidelines for minimum cost transition planning to a 100% renewable multi-regional energy system," Applied Energy, Elsevier, vol. 357(C).
    2. Andrea Lazzaretto & Andrea Toffolo, 2019. "Optimum Choice of Energy System Configuration and Storages for a Proper Match between Energy Conversion and Demands," Energies, MDPI, vol. 12(20), pages 1-6, October.
    3. Piero Danieli & Massimo Masi & Andrea Lazzaretto & Gianluca Carraro & Enrico Dal Cin & Gabriele Volpato, 2023. "Is Banning Fossil-Fueled Internal Combustion Engines the First Step in a Realistic Transition to a 100% RES Share?," Energies, MDPI, vol. 16(15), pages 1-18, July.
    4. Volpato, Gabriele & Carraro, Gianluca & Cont, Marco & Danieli, Piero & Rech, Sergio & Lazzaretto, Andrea, 2022. "General guidelines for the optimal economic aggregation of prosumers in energy communities," Energy, Elsevier, vol. 258(C).
    5. Andrea Sarcina & Rubina Canesi, 2023. "Renewable Energy Community: Opportunities and Threats towards Green Transition," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    6. Sergio Rech & Stefano Casarin & Carlos Santos Silva & Andrea Lazzaretto, 2020. "University Campus and Surrounding Residential Complexes as Energy-Hub: A MILP Optimization Approach for a Smart Exchange of Solar Energy," Energies, MDPI, vol. 13(11), pages 1-22, June.
    7. Davide Pivetta & Sergio Rech & Andrea Lazzaretto, 2020. "Choice of the Optimal Design and Operation of Multi-Energy Conversion Systems in a Prosecco Wine Cellar," Energies, MDPI, vol. 13(23), pages 1-33, November.
    8. Chiara Dall’Armi & Davide Pivetta & Rodolfo Taccani, 2021. "Health-Conscious Optimization of Long-Term Operation for Hybrid PEMFC Ship Propulsion Systems," Energies, MDPI, vol. 14(13), pages 1-20, June.
    9. 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.

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