Impact of the economic environment modelling for the optimal design of a multi-energy microgrid

The paper discusses the impact of the problem formulation for the optimal design of a multi-energy microgrid. The study shows that the energy rates affect the output results much more than any other parameter such as the cost of equipment or the assets efficiencies (ratio 1 to 100). The main focus o...

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Main Authors: Rigo-Mariani, Rémy, Ooi, Sean Chea Wae, Mazzoni, Stefano
Other Authors: 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (IECON)
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/147639
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1476392021-04-20T09:13:08Z Impact of the economic environment modelling for the optimal design of a multi-energy microgrid Rigo-Mariani, Rémy Ooi, Sean Chea Wae Mazzoni, Stefano 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (IECON) Energy Research Institute @ NTU (ERI@N) Science::Physics Energy Optimal Planning The paper discusses the impact of the problem formulation for the optimal design of a multi-energy microgrid. The study shows that the energy rates affect the output results much more than any other parameter such as the cost of equipment or the assets efficiencies (ratio 1 to 100). The main focus of the paper is then the representation of the economic environment for such a planning problems. Five different modeling approaches are investigated with both deterministic and stochastic methods (scenario-based formulation), as well as constant or increasing rates along the planning horizon. The obtained results show great impacts on the installed capacities (variations from simple to triple for the gas engine rated power), while the objective function (i.e. system cost of ownership) displays small variations less than 5 % with the different sets of hypothesis. The papers then concludes on a recommendation to present the results in terms of optimal areas instead of a single global optimum for such problems. 2021-04-20T09:10:56Z 2021-04-20T09:10:56Z 2020 Conference Paper Rigo-Mariani, R., Ooi, S. C. W. & Mazzoni, S. (2020). Impact of the economic environment modelling for the optimal design of a multi-energy microgrid. 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (IECON), 2020-October, 1837-1842. https://dx.doi.org/10.1109/IECON43393.2020.9254730 9781728154145 https://hdl.handle.net/10356/147639 10.1109/IECON43393.2020.9254730 2-s2.0-85097773466 2020-October 1837 1842 en © 2020 Institute of Electrical and Electronics Engineers (IEEE). All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Physics
Energy
Optimal Planning
spellingShingle Science::Physics
Energy
Optimal Planning
Rigo-Mariani, Rémy
Ooi, Sean Chea Wae
Mazzoni, Stefano
Impact of the economic environment modelling for the optimal design of a multi-energy microgrid
description The paper discusses the impact of the problem formulation for the optimal design of a multi-energy microgrid. The study shows that the energy rates affect the output results much more than any other parameter such as the cost of equipment or the assets efficiencies (ratio 1 to 100). The main focus of the paper is then the representation of the economic environment for such a planning problems. Five different modeling approaches are investigated with both deterministic and stochastic methods (scenario-based formulation), as well as constant or increasing rates along the planning horizon. The obtained results show great impacts on the installed capacities (variations from simple to triple for the gas engine rated power), while the objective function (i.e. system cost of ownership) displays small variations less than 5 % with the different sets of hypothesis. The papers then concludes on a recommendation to present the results in terms of optimal areas instead of a single global optimum for such problems.
author2 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (IECON)
author_facet 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (IECON)
Rigo-Mariani, Rémy
Ooi, Sean Chea Wae
Mazzoni, Stefano
format Conference or Workshop Item
author Rigo-Mariani, Rémy
Ooi, Sean Chea Wae
Mazzoni, Stefano
author_sort Rigo-Mariani, Rémy
title Impact of the economic environment modelling for the optimal design of a multi-energy microgrid
title_short Impact of the economic environment modelling for the optimal design of a multi-energy microgrid
title_full Impact of the economic environment modelling for the optimal design of a multi-energy microgrid
title_fullStr Impact of the economic environment modelling for the optimal design of a multi-energy microgrid
title_full_unstemmed Impact of the economic environment modelling for the optimal design of a multi-energy microgrid
title_sort impact of the economic environment modelling for the optimal design of a multi-energy microgrid
publishDate 2021
url https://hdl.handle.net/10356/147639
_version_ 1698713734669664256