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Life-Cycle Cost–Optimal Right-Sizing and Replacement Assessment of Distribution Transformers Under Demand Uncertainty.

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Title: Life-Cycle Cost–Optimal Right-Sizing and Replacement Assessment of Distribution Transformers Under Demand Uncertainty.
Authors: Muñoz-Pilco, Jorge1 (AUTHOR) jmunoz@ups.edu.ec, Ruiz, Milton1 (AUTHOR), Cuji, Cristian1 (AUTHOR), García, Edwin1 (AUTHOR)
Source: Energies (19961073). Apr2026, Vol. 19 Issue 8, p1983. 21p.
Subject Terms: *Life cycle costing, *Power transformers, *Infrastructure (Economics), *Replacement of industrial equipment, *Economic demand, *Mathematical optimization
Abstract: This paper presents a scenario-based optimization framework for evaluating the life-cycle cost of right-sizing and replacement timing for distribution transformers under demand–growth uncertainty. The proposed formulation jointly considers the discrete commercial transformer ratings, the discounted investment cost, and the monetized iron and copper losses over a 15-year planning horizon. Demand uncertainty is represented by nine scenarios defined by combinations of initial apparent power demand and annual growth rate, with D 1 ∈ { 45 , 50 , 55 } kVA and g ∈ { 3 % , 4 % , 5 % } . Under these assumptions, the demand envelope evolves from an initial range of 45–55 kVA to approximately 68.1–108.9 kVA in Year 15, while expected demand increases from 50 kVA to about 87 kVA. The optimization results show that the economically optimal policy is to install a 112.5 kVA transformer in Year 1 and maintain that rating throughout the horizon, without triggering any replacement events. The selected transformer maintains expected loading between approximately 0.44 p.u. and 0.77 p.u., while the upper-demand scenario remains below 1.0 p.u. over the entire horizon. These results indicate that, for the demand–growth conditions analyzed, the preferred outcome is a single initial sizing decision rather than a phased replacement strategy. Therefore, the proposed framework provides a consistent scenario-based alternative to deterministic margin-based planning for distribution transformer asset management. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 193438323
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PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Life-Cycle Cost–Optimal Right-Sizing and Replacement Assessment of Distribution Transformers Under Demand Uncertainty.
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  Data: <searchLink fieldCode="AR" term="%22Muñoz-Pilco%2C+Jorge%22">Muñoz-Pilco, Jorge</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jmunoz@ups.edu.ec</i><br /><searchLink fieldCode="AR" term="%22Ruiz%2C+Milton%22">Ruiz, Milton</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cuji%2C+Cristian%22">Cuji, Cristian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22García%2C+Edwin%22">García, Edwin</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Apr2026, Vol. 19 Issue 8, p1983. 21p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Life+cycle+costing%22">Life cycle costing</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+transformers%22">Power transformers</searchLink><br />*<searchLink fieldCode="DE" term="%22Infrastructure+%28Economics%29%22">Infrastructure (Economics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Replacement+of+industrial+equipment%22">Replacement of industrial equipment</searchLink><br />*<searchLink fieldCode="DE" term="%22Economic+demand%22">Economic demand</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper presents a scenario-based optimization framework for evaluating the life-cycle cost of right-sizing and replacement timing for distribution transformers under demand–growth uncertainty. The proposed formulation jointly considers the discrete commercial transformer ratings, the discounted investment cost, and the monetized iron and copper losses over a 15-year planning horizon. Demand uncertainty is represented by nine scenarios defined by combinations of initial apparent power demand and annual growth rate, with D 1 ∈ { 45 , 50 , 55 } kVA and g ∈ { 3 % , 4 % , 5 % } . Under these assumptions, the demand envelope evolves from an initial range of 45–55 kVA to approximately 68.1–108.9 kVA in Year 15, while expected demand increases from 50 kVA to about 87 kVA. The optimization results show that the economically optimal policy is to install a 112.5 kVA transformer in Year 1 and maintain that rating throughout the horizon, without triggering any replacement events. The selected transformer maintains expected loading between approximately 0.44 p.u. and 0.77 p.u., while the upper-demand scenario remains below 1.0 p.u. over the entire horizon. These results indicate that, for the demand–growth conditions analyzed, the preferred outcome is a single initial sizing decision rather than a phased replacement strategy. Therefore, the proposed framework provides a consistent scenario-based alternative to deterministic margin-based planning for distribution transformer asset management. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193438323
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19081983
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 1983
    Subjects:
      – SubjectFull: Life cycle costing
        Type: general
      – SubjectFull: Power transformers
        Type: general
      – SubjectFull: Infrastructure (Economics)
        Type: general
      – SubjectFull: Replacement of industrial equipment
        Type: general
      – SubjectFull: Economic demand
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
    Titles:
      – TitleFull: Life-Cycle Cost–Optimal Right-Sizing and Replacement Assessment of Distribution Transformers Under Demand Uncertainty.
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            NameFull: Muñoz-Pilco, Jorge
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            NameFull: Ruiz, Milton
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            NameFull: Cuji, Cristian
      – PersonEntity:
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            NameFull: García, Edwin
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            – D: 15
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 19961073
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              Value: 19
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              Value: 8
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            – TitleFull: Energies (19961073)
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