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Development of an optimization algorithm for the energy management of an industrial Smart User

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  • Ferrari, Lorenzo
  • Esposito, Fabio
  • Becciani, Michele
  • Ferrara, Giovanni
  • Magnani, Sandro
  • Andreini, Mirko
  • Bellissima, Alessandro
  • Cantù, Matteo
  • Petretto, Giacomo
  • Pentolini, Massimo

Abstract

The growth of world energy demand combined with global warming and climate change is one of the most urgent global challenges and induced policy measures to foster the use of renewable energy sources. In order to cope with the intrinsic variability of solar and wind, active management of distribution networks and customers is required, if the creation of the so called Smart Grid is desired.

Suggested Citation

  • Ferrari, Lorenzo & Esposito, Fabio & Becciani, Michele & Ferrara, Giovanni & Magnani, Sandro & Andreini, Mirko & Bellissima, Alessandro & Cantù, Matteo & Petretto, Giacomo & Pentolini, Massimo, 2017. "Development of an optimization algorithm for the energy management of an industrial Smart User," Applied Energy, Elsevier, vol. 208(C), pages 1468-1486.
    • Handle: RePEc:eee:appene:v:208:y:2017:i:c:p:1468-1486
    DOI: 10.1016/j.apenergy.2017.09.005
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    1. Nojavan, Sayyad & Zare, Kazem & Mohammadi-Ivatloo, Behnam, 2017. "Optimal stochastic energy management of retailer based on selling price determination under smart grid environment in the presence of demand response program," Applied Energy, Elsevier, vol. 187(C), pages 449-464.
    2. Leijon, Mats & Skoglund, Annika & Waters, Rafael & Rehn, Alf & Lindahl, Marcus, 2010. "On the physics of power, energy and economics of renewable electric energy sources – Part I," Renewable Energy, Elsevier, vol. 35(8), pages 1729-1734.
    3. Srinivasan, Dipti & Rajgarhia, Sanjana & Radhakrishnan, Bharat Menon & Sharma, Anurag & Khincha, H.P., 2017. "Game-Theory based dynamic pricing strategies for demand side management in smart grids," Energy, Elsevier, vol. 126(C), pages 132-143.
    4. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
    5. Ferrari, Mario L. & Pascenti, Matteo & Sorce, Alessandro & Traverso, Alberto & Massardo, Aristide F., 2014. "Real-time tool for management of smart polygeneration grids including thermal energy storage," Applied Energy, Elsevier, vol. 130(C), pages 670-678.
    6. Shi, Huaizhou & Blaauwbroek, Niels & Nguyen, Phuong H. & Kamphuis, René (I.G.), 2016. "Energy management in Multi-Commodity Smart Energy Systems with a greedy approach," Applied Energy, Elsevier, vol. 167(C), pages 385-396.
    7. 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.
    8. Mitra, Sumit & Sun, Lige & Grossmann, Ignacio E., 2013. "Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices," Energy, Elsevier, vol. 54(C), pages 194-211.
    9. 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.
    10. Aghaei, Jamshid & Alizadeh, Mohammad-Iman, 2013. "Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems)," Energy, Elsevier, vol. 55(C), pages 1044-1054.
    11. Abdi, Hamdi & Beigvand, Soheil Derafshi & Scala, Massimo La, 2017. "A review of optimal power flow studies applied to smart grids and microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 742-766.
    12. Skoglund, Annika & Leijon, Mats & Rehn, Alf & Lindahl, Marcus & Waters, Rafael, 2010. "On the physics of power, energy and economics of renewable electric energy sources - Part II," Renewable Energy, Elsevier, vol. 35(8), pages 1735-1740.
    13. 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.
    14. Bassamzadeh, Nastaran & Ghanem, Roger, 2017. "Multiscale stochastic prediction of electricity demand in smart grids using Bayesian networks," Applied Energy, Elsevier, vol. 193(C), pages 369-380.
    15. Motevasel, Mehdi & Seifi, Ali Reza & Niknam, Taher, 2013. "Multi-objective energy management of CHP (combined heat and power)-based micro-grid," Energy, Elsevier, vol. 51(C), pages 123-136.
    16. Chesi, Andrea & Ferrara, Giovanni & Ferrari, Lorenzo & Magnani, Sandro & Tarani, Fabio, 2013. "Influence of the heat storage size on the plant performance in a Smart User case study," Applied Energy, Elsevier, vol. 112(C), pages 1454-1465.
    17. Faria, P. & Vale, Z., 2011. "Demand response in electrical energy supply: An optimal real time pricing approach," Energy, Elsevier, vol. 36(8), pages 5374-5384.
    18. Buoro, Dario & Pinamonti, Piero & Reini, Mauro, 2014. "Optimization of a Distributed Cogeneration System with solar district heating," Applied Energy, Elsevier, vol. 124(C), pages 298-308.
    19. Wakui, Tetsuya & Kinoshita, Takahiro & Yokoyama, Ryohei, 2014. "A mixed-integer linear programming approach for cogeneration-based residential energy supply networks with power and heat interchanges," Energy, Elsevier, vol. 68(C), pages 29-46.
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