Improved Energy Efficiency in Wineries Using Data from Audits

Vela Cantalapiedra, Raquel and Ruiz Mazarron, Fernando and Fuentes-Pila Estrada, Joaquin and Garcia Fernandez, Jose Luis and Baptista, Fátima (2017). Improved Energy Efficiency in Wineries Using Data from Audits. "Ciência e Técnica Vitivinícola", v. 32 (n. 1); pp. 62-71. ISSN 0254-0223. https://doi.org/10.1051/ctv/20173201062.

Description

Title: Improved Energy Efficiency in Wineries Using Data from Audits
Author/s:
  • Vela Cantalapiedra, Raquel
  • Ruiz Mazarron, Fernando
  • Fuentes-Pila Estrada, Joaquin
  • Garcia Fernandez, Jose Luis
  • Baptista, Fátima
Item Type: Article
Título de Revista/Publicación: Ciência e Técnica Vitivinícola
Date: August 2017
ISSN: 0254-0223
Volume: 32
Subjects:
Faculty: E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The wine production process has a high energy demand of about 1,750 million kWh per year in the EU. Saving energy, responsible consumption and efficient use of energy sources are key aspects to consider for the competitiveness and viability of the sector. Therefore, the TESLA project (Transfering Energy Save Laid on Agroindustry), funded by the European Commission, has conducted 39 energy audits in wineries from four countries (Spain, France, Portugal and Italy). The information collected has allowed them to carry out a comparative analysis of energy efficiency measures through a technical-economic study, calculating the period of return on investment and performing a sensitivity analysis to determine the break-even point for each of the investments analysed. The results show that the replacement of chillers by more efficient ones, the installation of variable speed drives on pumps, the introduction of management and control measures such as the implementation of a Building Management System (BMS) and the installation of energy analysers for identification of consumption by use are the measures that have the greatest quantitative impact.

More information

Item ID: 49083
DC Identifier: http://oa.upm.es/49083/
OAI Identifier: oai:oa.upm.es:49083
DOI: 10.1051/ctv/20173201062
Official URL: https://www.ctv-jve-journal.org/articles/ctv/abs/2017/01/ctv20173201p62/ctv20173201p62.html
Deposited by: Memoria Investigacion
Deposited on: 22 Jan 2018 09:31
Last Modified: 14 Mar 2019 14:37
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