Repository logo
Log In(current)
  1. Home
  2. Prodotti della ricerca
  3. A. Contributo su rivista
  4. A1. Articolo in rivista
  5. Energy efficiency and carbon footprint of home pasta cooking appliances

Energy efficiency and carbon footprint of home pasta cooking appliances

Author(s)
Cimini, Alessio
Moresi, Mauro  
Date Issued
2017
Type
article
Volume
204
Start Page
8
End Page
17
DOI
10.1016/j.jfoodeng.2017.01.012
Journal
JOURNAL OF FOOD ENGINEERING  
Abstract
The energy efficiency (ηC), carbon footprint (CF) and operating costs (CC) of home dried pasta cooking were assessed. In particular, ηC for the electric hot-plate (46 ± 3%), induction (33 ± 5%), or LPG (30 ± 4%) hob was found to be definitively smaller than the minimum energy efficiency performance requirements for EU domestic hobs. Pans of different size, but with the same high thermal diffusivity, had a negligible effect on ηC at the probability level of 0.05. By covering the pan with its lid and setting the power rate of each cooking appliance initially to the maximum level to make the cooking water boil faster, and then to the minimum one to keep almost constant the cooking water temperature and allow starch granule gelatinization, GHG emissions reduced by 81, 73, or 86% with respect to those released with the LPG, electric, or induction hob adjusted at the maximum power setting, respectively. Such a cooking practice applied to the induction hob allowed CF and CC to be minimized to 0.67 kg CO2e and €0.47 per kg of pasta cooked. The resulting energy saving amounted to 31 or 18% of the energy consumed under the same procedure by the LPG or electric cooker, respectively. Such a cooking system in conjunction with the aforementioned practice might represent an eco-friendly solution to limit the environmental impact of dried pasta consumption.
Handle
http://hdl.handle.net/2067/47559
File(s)
Thumbnail Image
Name

ACCEPTED VERSION - Energy efficiency and carbon footprint of home pasta cooking appliances.pdf

Size

1.95 MB

Format

Adobe PDF

Checksum (MD5)

80ab5dbff9c719704be2fcbd4e7bdee5

Metrics

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify