Flexibility Services to Minimize the Electricity Production from Fossil Fuels. A Case Study in a Mediterranean Small Island

Manfredi Crainz, Domenico Curto, Vincenzo Franzitta, Sonia Longo, Francesco Montana, Rossano Musca, Eleonora Riva Sanseverino and Enrico Telaretti
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Manfredi Crainz: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90133 Palermo, Italy
Domenico Curto: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90133 Palermo, Italy
Vincenzo Franzitta: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90133 Palermo, Italy
Sonia Longo: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90133 Palermo, Italy
Francesco Montana: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90133 Palermo, Italy
Rossano Musca: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90133 Palermo, Italy
Eleonora Riva Sanseverino: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90133 Palermo, Italy
Enrico Telaretti: Dipartimento di Ingegneria, Università degli Studi di Palermo, 90133 Palermo, Italy

Energies, 2019, vol. 12, issue 18, 1-38

Abstract: The design of multi-carrier energy systems (MESs) has become increasingly important in the last decades, due to the need to move towards more efficient, flexible, and reliable power systems. In a MES, electricity, heating, cooling, water, and other resources interact at various levels, in order to get optimized operation. The aim of this study is to identify the optimal combination of components, their optimal sizes, and operating schedule allowing minimizing the annual cost for meeting the energy demand of Pantelleria, a Mediterranean island. Starting from the existing energy system (comprising diesel generators, desalination plant, freshwater storage, heat pumps, and domestic hot water storages) the installation of solar resources (photovoltaic and solar thermal) and electrical storage were considered. In this way, the optimal scheduling of storage units injections, water desalination operation, and domestic hot water production was deduced. An energy hub model was implemented using MATLAB to represent the problem. All equations in the model are linear functions, and variables are real or integer. Thus, a mixed integer linear programming algorithm was used for the solution of the optimization problem. Results prove that the method allows a strong reduction of operating costs of diesel generators also in the existing configuration.

Keywords: multi-carrier energy systems; energy hubs; mixed integer linear programming; optimization; islands energy system (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 (10)

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