Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System

Sergio Bruno, Maria Dicorato, Massimo La Scala, Roberto Sbrizzai, Pio Alessandro Lombardi and Bartlomiej Arendarski
Additional contact information
Sergio Bruno: Department of Electrical and Information Engineering (DEI)–Politecnico di Bari, 70125 Bari, Italy
Maria Dicorato: Department of Electrical and Information Engineering (DEI)–Politecnico di Bari, 70125 Bari, Italy
Massimo La Scala: Department of Electrical and Information Engineering (DEI)–Politecnico di Bari, 70125 Bari, Italy
Roberto Sbrizzai: Department of Electrical and Information Engineering (DEI)–Politecnico di Bari, 70125 Bari, Italy
Pio Alessandro Lombardi: Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany
Bartlomiej Arendarski: Fraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, Germany

Energies, 2019, vol. 12, issue 17, 1-16

Abstract: In this this paper, the optimal sizing of electric and thermal storage is applied to the novel definition of a net zero multi energy system (NZEMS). A NZMES is based on producing electricity exclusively from renewable energy sources (RES) and converting it into other energy forms to satisfy multiple energy needs of a community. Due to the intermittent nature of RES, storage resources are needed to increase the self-sufficiency of the system. Possible storage sizing choices are examined considering, on an annual basis, the solution of a predictive control problem aimed at optimizing daily operation. For each day of the year, a predictive control problem is formulated and solved, aimed at minimizing operating costs. Electric, thermal, and (electric) transportation daily curves and expected RES production are assessed by means of a model that includes environmental parameters. Test results, based on the energy model of a small rural village, show expected technical-economic performance of different planning solutions, highlighting how the renewable energy mix influences the choice of both thermal and electric storage, and how self-sufficiency can affect the overall cost of energy.

Keywords: net zero-energy systems; multi-energy systems; renewable energy sources; optimal control strategy; predictive control; long-term energy system planning; short-term energy system operation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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