Investigation of home appliances industry and devices obsolescence considering energy consumption.

Sci Rep

Department of Electrical and Electronics Engineering, University of West Attica, 250, Thivon & P. Ralli Str., Egaleo, 122 44, Athens, Greece.

Published: August 2024

AI Article Synopsis

  • The study aims to optimize energy usage and lifespan of home appliances in households, focusing on minimizing costs and obsolescence.
  • Using an Integer Linear Programming (ILP) method, the research ensures energy consumption stays within limits while managing appliance constraints.
  • Results highlight the refrigerator as the most costly appliance in terms of maintenance, leading to strategies for replacing essential parts based on customer budgets and component degradation.

Article Abstract

The objective of this study is to optimize a linear objective function that pertains to the obsolescence of home appliances in a household. The approach introduced is an ILP-based method that is both simple and adaptable. This optimization guarantees that the total energy consumption remains below a predetermined energy threshold, while also adhering to an inequality constraint. The proposed methodology was effectively tested using a household containing four home appliances: a washing machine, a dishwasher, a refrigerator, and an oven. The findings indicate that the refrigerator is the most hazardous and inexpensive home appliance. The current formulation aims to optimize the device's lifespan considering the customer's financial constraints and the expenses associated with repairing and replacing its parts. This study centers on the maintenance of printed circuit boards (PCBs) and considers the effects of degradation-related malfunctions, as assessed through testing. Moreover, we employ an additional ILP approach to assess the vulnerability of refrigerator's PCB components by determining which ones should be replaced when a customer has limited financial resources.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11300863PMC
http://dx.doi.org/10.1038/s41598-024-68982-8DOI Listing

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