View in EDS HTML Full Text PDF Full Text

A Review of Assessment Indicators and Methods for Rural Energy Systems.

Saved in:
Bibliographic Details
Title: A Review of Assessment Indicators and Methods for Rural Energy Systems.
Authors: Nie, Yuqian1,2 (AUTHOR), Wang, Guyixin2,3 (AUTHOR), Yao, Sheng1,2,3 (AUTHOR) yaosheng@tju.edu.cn, Jin, Xingyu1,2 (AUTHOR), Guo, Jiayi1,2 (AUTHOR)
Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2111. 34p.
Subject Terms: *Multiple criteria decision making, *Regional differences, *Technology assessment, *Social indicators, *Key performance indicators (Management), *Cost benefit analysis, *Rural electrification, *Ecological impact
Abstract: This study presents a systematic bibliometric analysis and critical review of assessment indicators and multi-criteria decision-making methods for rural energy systems from 2010 to 2025. It examines the evolving definitions and regional variations in these indicators and methods. The research hotspots of rural energy systems have shifted from basic rural electrification to multi-dimensional assessment indicators and hybrid multi-criteria decision-making methods. The assessment indicators for rural energy systems demonstrate a marked imbalance, dominated by economic and technical dimensions. Specifically, economic evaluations for rural energy systems frequently utilize net present cost and levelized energy cost, shifting from static capital comparisons to comprehensive lifecycle assessments. Meanwhile, loss of power supply probability is identified as the primary inherent constraint among technical assessment indicators for rural energy systems. Geographically, assessment indicators for rural energy systems priorities exhibit significant divergence. Developing regions prioritize basic power supply and affordability, whereas developed regions focus on grid stability and market risk resilience. In addition, environmental evaluations for rural energy systems remain fixated on carbon emissions. Developed nations emphasize global climate benefits, while developing nations focus on localized dividends like indoor air quality improvement. Critically, despite an increasing focus on rural livelihoods, social indicators remain systematically marginalized in rural energy systems, leading to the neglect of local requirements and increasing technical risks. The field of rural energy system assessment is advancing toward multi-criteria decision-making indicators. Future methodologies must integrate robust, dynamic adaptive mechanisms that respond to evolving developmental priorities in order to effectively address inherent data scarcity and complex socio-economic uncertainties of rural energy systems. [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: 193716007
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Review of Assessment Indicators and Methods for Rural Energy Systems.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Nie%2C+Yuqian%22">Nie, Yuqian</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Guyixin%22">Wang, Guyixin</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yao%2C+Sheng%22">Yao, Sheng</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> yaosheng@tju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Jin%2C+Xingyu%22">Jin, Xingyu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Guo%2C+Jiayi%22">Guo, Jiayi</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 9, p2111. 34p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Regional+differences%22">Regional differences</searchLink><br />*<searchLink fieldCode="DE" term="%22Technology+assessment%22">Technology assessment</searchLink><br />*<searchLink fieldCode="DE" term="%22Social+indicators%22">Social indicators</searchLink><br />*<searchLink fieldCode="DE" term="%22Key+performance+indicators+%28Management%29%22">Key performance indicators (Management)</searchLink><br />*<searchLink fieldCode="DE" term="%22Cost+benefit+analysis%22">Cost benefit analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Rural+electrification%22">Rural electrification</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecological+impact%22">Ecological impact</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study presents a systematic bibliometric analysis and critical review of assessment indicators and multi-criteria decision-making methods for rural energy systems from 2010 to 2025. It examines the evolving definitions and regional variations in these indicators and methods. The research hotspots of rural energy systems have shifted from basic rural electrification to multi-dimensional assessment indicators and hybrid multi-criteria decision-making methods. The assessment indicators for rural energy systems demonstrate a marked imbalance, dominated by economic and technical dimensions. Specifically, economic evaluations for rural energy systems frequently utilize net present cost and levelized energy cost, shifting from static capital comparisons to comprehensive lifecycle assessments. Meanwhile, loss of power supply probability is identified as the primary inherent constraint among technical assessment indicators for rural energy systems. Geographically, assessment indicators for rural energy systems priorities exhibit significant divergence. Developing regions prioritize basic power supply and affordability, whereas developed regions focus on grid stability and market risk resilience. In addition, environmental evaluations for rural energy systems remain fixated on carbon emissions. Developed nations emphasize global climate benefits, while developing nations focus on localized dividends like indoor air quality improvement. Critically, despite an increasing focus on rural livelihoods, social indicators remain systematically marginalized in rural energy systems, leading to the neglect of local requirements and increasing technical risks. The field of rural energy system assessment is advancing toward multi-criteria decision-making indicators. Future methodologies must integrate robust, dynamic adaptive mechanisms that respond to evolving developmental priorities in order to effectively address inherent data scarcity and complex socio-economic uncertainties of rural energy systems. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193716007
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19092111
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 34
        StartPage: 2111
    Subjects:
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Regional differences
        Type: general
      – SubjectFull: Technology assessment
        Type: general
      – SubjectFull: Social indicators
        Type: general
      – SubjectFull: Key performance indicators (Management)
        Type: general
      – SubjectFull: Cost benefit analysis
        Type: general
      – SubjectFull: Rural electrification
        Type: general
      – SubjectFull: Ecological impact
        Type: general
    Titles:
      – TitleFull: A Review of Assessment Indicators and Methods for Rural Energy Systems.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Nie, Yuqian
      – PersonEntity:
          Name:
            NameFull: Wang, Guyixin
      – PersonEntity:
          Name:
            NameFull: Yao, Sheng
      – PersonEntity:
          Name:
            NameFull: Jin, Xingyu
      – PersonEntity:
          Name:
            NameFull: Guo, Jiayi
    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