IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i7p1320-d220453.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/7/1320/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/7/1320/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rech, S. & Lazzaretto, A., 2018. "Smart rules and thermal, electric and hydro storages for the optimum operation of a renewable energy system," Energy, Elsevier, vol. 147(C), pages 742-756.
    2. Fred Glover, 1975. "Improved Linear Integer Programming Formulations of Nonlinear Integer Problems," Management Science, INFORMS, vol. 22(4), pages 455-460, December.
    3. Wolf-Peter Schill & Michael Pahle & Christian Gambardella, 2017. "Start-up costs of thermal power plants in markets with increasing shares of variable renewable generation," Nature Energy, Nature, vol. 2(6), pages 1-6, June.
    4. Voll, Philip & Lampe, Matthias & Wrobel, Gregor & Bardow, André, 2012. "Superstructure-free synthesis and optimization of distributed industrial energy supply systems," Energy, Elsevier, vol. 45(1), pages 424-435.
    5. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    6. Kosman, Gerard & Rusin, Andrzej, 2001. "The influence of the start-ups and cyclic loads of steam turbines conducted according to European standards on the component's life," Energy, Elsevier, vol. 26(12), pages 1083-1099.
    7. Rech, Sergio & Toffolo, Andrea & Lazzaretto, Andrea, 2012. "TSO-STO: A two-step approach to the optimal operation of heat storage systems with variable temperature tanks," Energy, Elsevier, vol. 45(1), pages 366-374.
    8. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    9. Hong-Chao Gao & Joon-Ho Choi & Sang-Yun Yun & Hak-Ju Lee & Seon-Ju Ahn, 2018. "Optimal Scheduling and Real-Time Control Schemes of Battery Energy Storage System for Microgrids Considering Contract Demand and Forecast Uncertainty," Energies, MDPI, vol. 11(6), pages 1-15, May.
    10. Oberndorfer, Ulrich, 2009. "EU Emission Allowances and the stock market: Evidence from the electricity industry," Ecological Economics, Elsevier, vol. 68(4), pages 1116-1126, February.
    11. Christidis, Andreas & Koch, Christoph & Pottel, Lothar & Tsatsaronis, George, 2012. "The contribution of heat storage to the profitable operation of combined heat and power plants in liberalized electricity markets," Energy, Elsevier, vol. 41(1), pages 75-82.
    12. Frangopoulos, Christos A., 2018. "Recent developments and trends in optimization of energy systems," Energy, Elsevier, vol. 164(C), pages 1011-1020.
    13. Silvio Simani, 2015. "Overview of Modelling and Advanced Control Strategies for Wind Turbine Systems," Energies, MDPI, vol. 8(12), pages 1-24, November.
    14. Mirko M. Stojiljković & Mladen M. Stojiljković & Bratislav D. Blagojević, 2014. "Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics," Energies, MDPI, vol. 7(12), pages 1-28, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. Andrea Sarcina & Rubina Canesi, 2023. "Renewable Energy Community: Opportunities and Threats towards Green Transition," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    5. 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.
    6. 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.
    7. 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.
    8. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cao, Lihua & Wang, Zhanzhou & Pan, Tongyang & Dong, Enfu & Hu, Pengfei & Liu, Miao & Ma, Tingshan, 2021. "Analysis on wind power accommodation ability and coal consumption of heat–power decoupling technologies for CHP units," Energy, Elsevier, vol. 231(C).
    2. Elsido, Cristina & Bischi, Aldo & Silva, Paolo & Martelli, Emanuele, 2017. "Two-stage MINLP algorithm for the optimal synthesis and design of networks of CHP units," Energy, Elsevier, vol. 121(C), pages 403-426.
    3. 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.
    4. Shen, Feifei & Zhao, Liang & Du, Wenli & Zhong, Weimin & Qian, Feng, 2020. "Large-scale industrial energy systems optimization under uncertainty: A data-driven robust optimization approach," Applied Energy, Elsevier, vol. 259(C).
    5. Sakalis, George N. & Frangopoulos, Christos A., 2018. "Intertemporal optimization of synthesis, design and operation of integrated energy systems of ships: General method and application on a system with Diesel main engines," Applied Energy, Elsevier, vol. 226(C), pages 991-1008.
    6. Rech, Sergio & Finco, Elisa & Lazzaretto, Andrea, 2020. "A multicriteria approach to choose the best renewable refrigeration system for food preservation," Renewable Energy, Elsevier, vol. 154(C), pages 368-384.
    7. Chen, Yue & Wei, Wei & Liu, Feng & Shafie-khah, Miadreza & Mei, Shengwei & Catalão, João P.S., 2018. "Optimal contracts of energy mix in a retail market under asymmetric information," Energy, Elsevier, vol. 165(PB), pages 634-650.
    8. Rieder, Andreas & Christidis, Andreas & Tsatsaronis, George, 2014. "Multi criteria dynamic design optimization of a small scale distributed energy system," Energy, Elsevier, vol. 74(C), pages 230-239.
    9. de Mars, Patrick & O’Sullivan, Aidan & Keppo, Ilkka, 2020. "Estimating the impact of variable renewable energy on base-load cycling in the GB power system," Energy, Elsevier, vol. 195(C).
    10. Bahl, Björn & Lampe, Matthias & Voll, Philip & Bardow, André, 2017. "Optimization-based identification and quantification of demand-side management potential for distributed energy supply systems," Energy, Elsevier, vol. 135(C), pages 889-899.
    11. Stojiljković, Mirko M. & Ignjatović, Marko G. & Vučković, Goran D., 2015. "Greenhouse gases emission assessment in residential sector through buildings simulations and operation optimization," Energy, Elsevier, vol. 92(P3), pages 420-434.
    12. Voll, Philip & Klaffke, Carsten & Hennen, Maike & Bardow, André, 2013. "Automated superstructure-based synthesis and optimization of distributed energy supply systems," Energy, Elsevier, vol. 50(C), pages 374-388.
    13. Kumbartzky, Nadine & Schacht, Matthias & Schulz, Katrin & Werners, Brigitte, 2017. "Optimal operation of a CHP plant participating in the German electricity balancing and day-ahead spot market," European Journal of Operational Research, Elsevier, vol. 261(1), pages 390-404.
    14. Stojiljković, Mirko M., 2017. "Bi-level multi-objective fuzzy design optimization of energy supply systems aided by problem-specific heuristics," Energy, Elsevier, vol. 137(C), pages 1231-1251.
    15. Wiese, Frauke & Schlecht, Ingmar & Bunke, Wolf-Dieter & Gerbaulet, Clemens & Hirth, Lion & Jahn, Martin & Kunz, Friedrich & Lorenz, Casimir & Mühlenpfordt, Jonathan & Reimann, Juliane & Schill, Wolf-P, 2019. "Open Power System Data – Frictionless data for electricity system modelling," Applied Energy, Elsevier, vol. 236(C), pages 401-409.
    16. Süle, Zoltán & Baumgartner, János & Dörgő, Gyula & Abonyi, János, 2019. "P-graph-based multi-objective risk analysis and redundancy allocation in safety-critical energy systems," Energy, Elsevier, vol. 179(C), pages 989-1003.
    17. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    18. Dumitrascu Gheorghe & Feidt Michel & Popescu Aristotel & Grigorean Stefan, 2019. "Endoreversible Trigeneration Cycle Design Based on Finite Physical Dimensions Thermodynamics," Energies, MDPI, vol. 12(16), pages 1-21, August.
    19. Rech, S. & Lazzaretto, A., 2018. "Smart rules and thermal, electric and hydro storages for the optimum operation of a renewable energy system," Energy, Elsevier, vol. 147(C), pages 742-756.
    20. Liu, Ming & Wang, Shan & Zhao, Yongliang & Tang, Haiyu & Yan, Junjie, 2019. "Heat–power decoupling technologies for coal-fired CHP plants: Operation flexibility and thermodynamic performance," Energy, Elsevier, vol. 188(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1320-:d:220453. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.