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Demand charges reduction with photovoltaics in industry.
Ordóñez, Ángel; Sánchez, Esteban; Carlos Solano, Juan; Parra-Domínguez, Javier.
Afiliação
  • Ordóñez Á; Facultad de la Energía, Universidad Nacional de Loja, Avda. Pío Jaramillo Alvarado, 110110 Loja, Ecuador.
  • Sánchez E; Escuela Técnica Superior de Ingeniería Industrial, Universidad de Salamanca, Avda. Fernando Ballesteros, 2, 37700 Béjar, Spain.
  • Carlos Solano J; Escuela Técnica Superior de Ingeniería Industrial, Universidad de Salamanca, Avda. Fernando Ballesteros, 2, 37700 Béjar, Spain.
  • Parra-Domínguez J; Facultad de la Energía, Universidad Nacional de Loja, Avda. Pío Jaramillo Alvarado, 110110 Loja, Ecuador.
Heliyon ; 10(1): e23404, 2024 Jan 15.
Article em En | MEDLINE | ID: mdl-38169926
ABSTRACT
Demand charges are widely used for commercial and industrial consumers. These costs are often not well known, let alone the effects that PV can have on them. This work proposes a methodology to assess the effect of PV on reducing these charges and to optimise the power to be contracted, using techniques taken from exploratory data analysis. This methodology is applied to five case studies of industrial consumers from different sectors in Spain, finding savings between 5 % and 11 % of demand charges in industries with continuous operation and up to 28 % in cases of discontinuous operation. These savings can be even greater if the maximum power that can be contracted is lower than the optimum. The demand charges in Spain consist of a fixed part proportional to the contracted power and a variable part depending on the power peaks exceeding it. Since for the variable part the coincident and non-coincident models coexist, a comparison is made between the two models, finding that in the general case PV users can achieve higher savings with the coincident model.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2024 Tipo de documento: Article