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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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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