Real-time data collection to improve energy efficiency: A case study of food manufacturer
(2022) In Journal of Food Processing and Preservation 46(8).- Abstract
The rising price and demand for energy are significant issues for the food sector, which consumes a substantial amount of energy throughout the supply chain. Hence, improving energy efficiency has become an essential priority for the food sector. However, most food businesses have limited awareness of the recent technological advancements in real-time energy monitoring. Thus, the concept of “Internet of Things” (IoT) has been investigated to increase the visibility, transparency, and awareness of various energy usage levels. This paper presents a case study of a beverage factory where the implementation of an IoT-enabled sensing technology based on the embodied product energy (EPE) model helped to reduce the energy consumption. This... (More)
The rising price and demand for energy are significant issues for the food sector, which consumes a substantial amount of energy throughout the supply chain. Hence, improving energy efficiency has become an essential priority for the food sector. However, most food businesses have limited awareness of the recent technological advancements in real-time energy monitoring. Thus, the concept of “Internet of Things” (IoT) has been investigated to increase the visibility, transparency, and awareness of various energy usage levels. This paper presents a case study of a beverage factory where the implementation of an IoT-enabled sensing technology based on the embodied product energy (EPE) model helped to reduce the energy consumption. This arrangement made provision for the collection of real-time energy data within a food production system to support informed and energy-aware operational decisions, which lead to optimized energy consumption and significant savings of approximately 163,000 kWh in the year 2017.
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- author
- Jagtap, Sandeep LU ; Rahimifard, Shahin and Duong, Linh N.K.
- publishing date
- 2022-08
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Food Processing and Preservation
- volume
- 46
- issue
- 8
- article number
- e14338
- publisher
- Wiley-Blackwell
- external identifiers
-
- scopus:85076421973
- ISSN
- 0145-8892
- DOI
- 10.1111/jfpp.14338
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2019 The Authors. Journal of Food Processing and Preservation published by Wiley Periodicals, Inc.
- id
- 353752b5-5354-470a-b37e-468d6f3c2187
- date added to LUP
- 2023-09-17 18:33:56
- date last changed
- 2024-03-22 00:28:31
@article{353752b5-5354-470a-b37e-468d6f3c2187, abstract = {{<p>The rising price and demand for energy are significant issues for the food sector, which consumes a substantial amount of energy throughout the supply chain. Hence, improving energy efficiency has become an essential priority for the food sector. However, most food businesses have limited awareness of the recent technological advancements in real-time energy monitoring. Thus, the concept of “Internet of Things” (IoT) has been investigated to increase the visibility, transparency, and awareness of various energy usage levels. This paper presents a case study of a beverage factory where the implementation of an IoT-enabled sensing technology based on the embodied product energy (EPE) model helped to reduce the energy consumption. This arrangement made provision for the collection of real-time energy data within a food production system to support informed and energy-aware operational decisions, which lead to optimized energy consumption and significant savings of approximately 163,000 kWh in the year 2017. </p>}}, author = {{Jagtap, Sandeep and Rahimifard, Shahin and Duong, Linh N.K.}}, issn = {{0145-8892}}, language = {{eng}}, number = {{8}}, publisher = {{Wiley-Blackwell}}, series = {{Journal of Food Processing and Preservation}}, title = {{Real-time data collection to improve energy efficiency: A case study of food manufacturer}}, url = {{http://dx.doi.org/10.1111/jfpp.14338}}, doi = {{10.1111/jfpp.14338}}, volume = {{46}}, year = {{2022}}, }