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

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...

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Main Authors: Sergio Bruno, Maria Dicorato, Massimo La Scala, Roberto Sbrizzai, Pio Alessandro Lombardi, Bartlomiej Arendarski
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/17/3389
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spelling doaj-0720af4326344887956b124c532568cf2020-11-24T22:21:01ZengMDPI AGEnergies1996-10732019-09-011217338910.3390/en12173389en12173389Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy SystemSergio Bruno0Maria Dicorato1Massimo La Scala2Roberto Sbrizzai3Pio Alessandro Lombardi4Bartlomiej Arendarski5Department of Electrical and Information Engineering (DEI)–Politecnico di Bari, 70125 Bari, ItalyDepartment of Electrical and Information Engineering (DEI)–Politecnico di Bari, 70125 Bari, ItalyDepartment of Electrical and Information Engineering (DEI)–Politecnico di Bari, 70125 Bari, ItalyDepartment of Electrical and Information Engineering (DEI)–Politecnico di Bari, 70125 Bari, ItalyFraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, GermanyFraunhofer Institute for Factory Operation and Automation IFF, 39106 Magdeburg, GermanyIn 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.https://www.mdpi.com/1996-1073/12/17/3389net zero-energy systemsmulti-energy systemsrenewable energy sourcesoptimal control strategypredictive controllong-term energy system planningshort-term energy system operation
collection DOAJ
language English
format Article
sources DOAJ
author Sergio Bruno
Maria Dicorato
Massimo La Scala
Roberto Sbrizzai
Pio Alessandro Lombardi
Bartlomiej Arendarski
spellingShingle Sergio Bruno
Maria Dicorato
Massimo La Scala
Roberto Sbrizzai
Pio Alessandro Lombardi
Bartlomiej Arendarski
Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System
Energies
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
author_facet Sergio Bruno
Maria Dicorato
Massimo La Scala
Roberto Sbrizzai
Pio Alessandro Lombardi
Bartlomiej Arendarski
author_sort Sergio Bruno
title Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System
title_short Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System
title_full Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System
title_fullStr Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System
title_full_unstemmed Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System
title_sort optimal sizing and operation of electric and thermal storage in a net zero multi energy system
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2019-09-01
description 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.
topic 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
url https://www.mdpi.com/1996-1073/12/17/3389
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