View in EDS HTML Full Text PDF Full Text

Techno-Economic Analysis of Offshore DC Microgrids.

Saved in:
Bibliographic Details
Title: Techno-Economic Analysis of Offshore DC Microgrids.
Authors: Hossain, Alamgir1 (AUTHOR), Negnevitsky, Michael1 (AUTHOR), Wang, Xiaolin1 (AUTHOR), Franklin, Evan1 (AUTHOR), Hassan, Waqas1 (AUTHOR), Hosseinabadi, Pooyan Alinaghi1 (AUTHOR) pooyan.alinaghihosseinabadi@utas.edu.au
Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2108. 22p.
Subject Terms: *Microgrids, *Economic impact analysis, *Wave energy, *Solar energy, *Energy storage, *Clean energy, *Carbon emissions, *Diesel electric power-plants
Abstract: Offshore industries depend solely on diesel-based power generation systems or mainland grids, which are expensive and carbon-intensive. The demand for renewable energy-based offshore DC microgrids (MGs) has significantly increased due to rising fuel prices, high costs of fuel transportation and storage, extreme operation and maintenance expenses, and associated carbon emissions. This research study optimises the size of an offshore DC MG that integrates wave, solar, energy storage, and diesel, utilising real-world data from a specific geographical location (latitude −33.525587 and longitude 114.772211), thereby accurately representing the availability of renewable energy sources. An algorithm is designed to optimise the utilisation of highly variable renewable sources via battery-based energy management, resulting in optimal energy dispatch. Utilising economic performance metrics, such as levelised cost of energy (LCoE) and net present value (NPV), this research aims to minimise the energy, operating, and greenhouse gas emission costs while maximising the economic feasibility of the system. A sensitivity analysis is performed to determine the impact of fuel prices, discount rates, and system lifespans on the feasibility of the system. The findings demonstrate that the proposed renewable-based offshore DC MG can substantially reduce fuel consumption (93%), operational expenses (77.56%), and carbon emissions (89.50%) compared with a diesel-only system for offshore platforms, while improving the sustainability and reliability of power supply for aquaculture and marine activities. In addition, the proposed renewable-energy-based offshore DC MG achieves a lower LCoE (0.5649 $/kWh) and a higher NPV (2.987 × 10 4 $) than a conventional diesel-based power generation system for offshore industries. The results provide a decision-making framework for the design and implementation of renewable energy-based offshore DC MGs. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 193716004
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Techno-Economic Analysis of Offshore DC Microgrids.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Hossain%2C+Alamgir%22">Hossain, Alamgir</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Negnevitsky%2C+Michael%22">Negnevitsky, Michael</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xiaolin%22">Wang, Xiaolin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Franklin%2C+Evan%22">Franklin, Evan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hassan%2C+Waqas%22">Hassan, Waqas</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hosseinabadi%2C+Pooyan+Alinaghi%22">Hosseinabadi, Pooyan Alinaghi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> pooyan.alinaghihosseinabadi@utas.edu.au</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 9, p2108. 22p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br />*<searchLink fieldCode="DE" term="%22Economic+impact+analysis%22">Economic impact analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Wave+energy%22">Wave energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+energy%22">Solar energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br />*<searchLink fieldCode="DE" term="%22Clean+energy%22">Clean energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Carbon+emissions%22">Carbon emissions</searchLink><br />*<searchLink fieldCode="DE" term="%22Diesel+electric+power-plants%22">Diesel electric power-plants</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Offshore industries depend solely on diesel-based power generation systems or mainland grids, which are expensive and carbon-intensive. The demand for renewable energy-based offshore DC microgrids (MGs) has significantly increased due to rising fuel prices, high costs of fuel transportation and storage, extreme operation and maintenance expenses, and associated carbon emissions. This research study optimises the size of an offshore DC MG that integrates wave, solar, energy storage, and diesel, utilising real-world data from a specific geographical location (latitude −33.525587 and longitude 114.772211), thereby accurately representing the availability of renewable energy sources. An algorithm is designed to optimise the utilisation of highly variable renewable sources via battery-based energy management, resulting in optimal energy dispatch. Utilising economic performance metrics, such as levelised cost of energy (LCoE) and net present value (NPV), this research aims to minimise the energy, operating, and greenhouse gas emission costs while maximising the economic feasibility of the system. A sensitivity analysis is performed to determine the impact of fuel prices, discount rates, and system lifespans on the feasibility of the system. The findings demonstrate that the proposed renewable-based offshore DC MG can substantially reduce fuel consumption (93%), operational expenses (77.56%), and carbon emissions (89.50%) compared with a diesel-only system for offshore platforms, while improving the sustainability and reliability of power supply for aquaculture and marine activities. In addition, the proposed renewable-energy-based offshore DC MG achieves a lower LCoE (0.5649 $/kWh) and a higher NPV (2.987 × 10 4 $) than a conventional diesel-based power generation system for offshore industries. The results provide a decision-making framework for the design and implementation of renewable energy-based offshore DC MGs. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193716004
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19092108
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 2108
    Subjects:
      – SubjectFull: Microgrids
        Type: general
      – SubjectFull: Economic impact analysis
        Type: general
      – SubjectFull: Wave energy
        Type: general
      – SubjectFull: Solar energy
        Type: general
      – SubjectFull: Energy storage
        Type: general
      – SubjectFull: Clean energy
        Type: general
      – SubjectFull: Carbon emissions
        Type: general
      – SubjectFull: Diesel electric power-plants
        Type: general
    Titles:
      – TitleFull: Techno-Economic Analysis of Offshore DC Microgrids.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hossain, Alamgir
      – PersonEntity:
          Name:
            NameFull: Negnevitsky, Michael
      – PersonEntity:
          Name:
            NameFull: Wang, Xiaolin
      – PersonEntity:
          Name:
            NameFull: Franklin, Evan
      – PersonEntity:
          Name:
            NameFull: Hassan, Waqas
      – PersonEntity:
          Name:
            NameFull: Hosseinabadi, Pooyan Alinaghi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
ResultId 1