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Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm

Knowledge on operational energy consumption and embodied energy, replacing embodied greenhouse gas (GHG) emissions in building materials, and national energy resources have become a necessity. In this study, the importance of investigating the stochastic nature of weather-dependent renewable energie...

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Main Authors: Esmaeili Shayan, Mostafa, Najafi, Gholamhassan, Ghobadian, Barat, Gorjian, Shiva, Rizalman, Mamat, Mohd Fairusham, Ghazali
Format: Article
Language:English
English
Published: Elsevier Ltd 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Online Access:http://umpir.ump.edu.my/id/eprint/40437/1/Multi-microgrid%20optimization%20and%20energy%20management.pdf
http://umpir.ump.edu.my/id/eprint/40437/2/Multi-microgrid%20optimization%20and%20energy%20management%20under%20boost%20voltage%20converter%20with%20Markov%20prediction%20chain%20and%20dynamic%20decision%20algorithm_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40437/
https://doi.org/10.1016/j.renene.2022.11.006
https://doi.org/10.1016/j.renene.2022.11.006
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spelling my.ump.umpir.404372024-04-16T04:26:36Z http://umpir.ump.edu.my/id/eprint/40437/ Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm Esmaeili Shayan, Mostafa Najafi, Gholamhassan Ghobadian, Barat Gorjian, Shiva Rizalman, Mamat Mohd Fairusham, Ghazali T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Knowledge on operational energy consumption and embodied energy, replacing embodied greenhouse gas (GHG) emissions in building materials, and national energy resources have become a necessity. In this study, the importance of investigating the stochastic nature of weather-dependent renewable energies is well documented. The management of the hybrid renewable energy system (HRES) was built and assessed, utilizing a decision-making algorithm and 13 case studies. When the proportion of renewable energy is at 24% and the average daily fossil fuel usage is 1.11 L per year, the HRES generates 1697 kWh per year with a net present value (NPV) of 553,68 USD, with a rate of return (IRR) of 21.4%, and a payback period (PP) of 15.7 years. With a renewable energy share of 54%, fossil fuel consumption dropped to 0.69 L per year, while yearly energy output was comparable to 1652 kWh per year, with an IRR of 19.5% and a PP of 17.6 years. To achieve zero greenhouse gas emissions, HRES Management employs 100% renewable energy sources to generate 1933 kWh per year at a net present value of −372.09 USD. This scenario is economically possible if the renewable energy feed-in tariff exceeds 0.06 USD. Elsevier Ltd 2022-12 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40437/1/Multi-microgrid%20optimization%20and%20energy%20management.pdf pdf en http://umpir.ump.edu.my/id/eprint/40437/2/Multi-microgrid%20optimization%20and%20energy%20management%20under%20boost%20voltage%20converter%20with%20Markov%20prediction%20chain%20and%20dynamic%20decision%20algorithm_ABS.pdf Esmaeili Shayan, Mostafa and Najafi, Gholamhassan and Ghobadian, Barat and Gorjian, Shiva and Rizalman, Mamat and Mohd Fairusham, Ghazali (2022) Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm. Renewable Energy, 201. pp. 179-189. ISSN 0960-1481. (Published) https://doi.org/10.1016/j.renene.2022.11.006 https://doi.org/10.1016/j.renene.2022.11.006
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Esmaeili Shayan, Mostafa
Najafi, Gholamhassan
Ghobadian, Barat
Gorjian, Shiva
Rizalman, Mamat
Mohd Fairusham, Ghazali
Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm
description Knowledge on operational energy consumption and embodied energy, replacing embodied greenhouse gas (GHG) emissions in building materials, and national energy resources have become a necessity. In this study, the importance of investigating the stochastic nature of weather-dependent renewable energies is well documented. The management of the hybrid renewable energy system (HRES) was built and assessed, utilizing a decision-making algorithm and 13 case studies. When the proportion of renewable energy is at 24% and the average daily fossil fuel usage is 1.11 L per year, the HRES generates 1697 kWh per year with a net present value (NPV) of 553,68 USD, with a rate of return (IRR) of 21.4%, and a payback period (PP) of 15.7 years. With a renewable energy share of 54%, fossil fuel consumption dropped to 0.69 L per year, while yearly energy output was comparable to 1652 kWh per year, with an IRR of 19.5% and a PP of 17.6 years. To achieve zero greenhouse gas emissions, HRES Management employs 100% renewable energy sources to generate 1933 kWh per year at a net present value of −372.09 USD. This scenario is economically possible if the renewable energy feed-in tariff exceeds 0.06 USD.
format Article
author Esmaeili Shayan, Mostafa
Najafi, Gholamhassan
Ghobadian, Barat
Gorjian, Shiva
Rizalman, Mamat
Mohd Fairusham, Ghazali
author_facet Esmaeili Shayan, Mostafa
Najafi, Gholamhassan
Ghobadian, Barat
Gorjian, Shiva
Rizalman, Mamat
Mohd Fairusham, Ghazali
author_sort Esmaeili Shayan, Mostafa
title Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm
title_short Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm
title_full Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm
title_fullStr Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm
title_full_unstemmed Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm
title_sort multi-microgrid optimization and energy management under boost voltage converter with markov prediction chain and dynamic decision algorithm
publisher Elsevier Ltd
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/40437/1/Multi-microgrid%20optimization%20and%20energy%20management.pdf
http://umpir.ump.edu.my/id/eprint/40437/2/Multi-microgrid%20optimization%20and%20energy%20management%20under%20boost%20voltage%20converter%20with%20Markov%20prediction%20chain%20and%20dynamic%20decision%20algorithm_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40437/
https://doi.org/10.1016/j.renene.2022.11.006
https://doi.org/10.1016/j.renene.2022.11.006
_version_ 1822924233156591616
score 13.235796

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