Real-Time Data Collection to Improve Energy Efficiency in Food Manufacturing

Jagtap, Sandeep and Rahimifard, Shahin (2018) Real-Time Data Collection to Improve Energy Efficiency in Food Manufacturing. In: +AGRO 2018 − International Congress on Organizational Management, Energy Efficiency and Occupational Health, 3-4th Oct 2018, Castelo Branco, Portugal.

This is the latest version of this item.

Documents
Real-Time Data Collection to Improve Energy Efficiency in Food Manufacturing

Request a copy
Real-Time Data Collection to Improve Energy Efficiency in Food Manufacturing
Accepted Manuscript
[img]
[Download]
[img] PDF
__network.uni_staff_S3_sjagtap_RDS_Desktop_ID104.pdf - Whole Document
Restricted to Repository staff only

493kB
[img] PDF
Real-Time Data Collection to Improve Energy Efficiency in Food Manufacturing.pdf - Whole Document

455kB
Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

The demand for energy is on the rise which is caused by a combination of global economic progress and population growth. The food sector is a significant consumer of energy at each stage of the supply chain, i.e. from farm to fork. Hence, improving efficiency and recognizing potentials for energy conservation has become essential in order to address the challenges faced by the food sector. However, most food manufacturing businesses, especially small and medium scale enterprise, have limited awareness of significant potentials offered through the recent technological advancements in real-time energy monitoring. In this context, the concept of ‘Internet of Things’ (IoT) has investigated to increase the visibility, transparency and awareness of various resource usage, thanks to the availability of inexpensive and smart sensing devices. This paper presents a case study of a beverage factory where the implementation of IoT-powered sensors and smart
meters is based on the embodied product energy (EPE) modelling. This arrangement enabled the collection of real-time data on energy consumption within a food production system to support more informed engineering and operational decisions, leading to an improved energy monitoring and management, as well as substantial cost savings.

Keywords:Food Supply Chain, Food Manufacturing, Internet of Things, Energy efficiency
Subjects:D Veterinary Sciences, Agriculture and related subjects > D631 Food and Beverage Manufacture
D Veterinary Sciences, Agriculture and related subjects > D690 Food studies not elsewhere classified
D Veterinary Sciences, Agriculture and related subjects > D630 Food and Beverage Production
D Veterinary Sciences, Agriculture and related subjects > D600 Food and Beverage studies
D Veterinary Sciences, Agriculture and related subjects > D633 Food and Beverage Technology
D Veterinary Sciences, Agriculture and related subjects > D632 Food and Beverage Processing
J Technologies > J910 Energy Technologies
Divisions:College of Science > National Centre for Food Manufacturing
ID Code:33560
Deposited On:19 Oct 2018 12:22

Available Versions of this Item

Repository Staff Only: item control page