System Design, Modelling, Energy Analysis, and Industrial Applications of Ohmic Heating Technology

Abstract The food and drink industry is gradually gaining sustainability pressure due to the high carbon emissions rate and limited availability of traditional energy supplies. Thus, it is essential to consider energy efficiency and decarbonisation of the ever-expanding food and drink industry. Ohmic heating technology is a highly energy-efficient and quick method of electrically heating food products. It uses the resistance of the food material to convert electrical energy into heat. However, the heating rate of ohmic heating depends on several process variables, such as electrical conductivity, voltage gradient, and voltage frequency. Therefore, it is important to study and understand the effects of these process variables to optimise the modelling and control of ohmic heating systems to obtain desirable output from food products. Hence, this study presents a review of the effects of process parameters on nutritional and organoleptic qualities, product yields, and energy efficiency of ohmic heating, along with its various industrial applications. The technology shows promising advancements in colour and nutritional quality, increasing energy efficiency, shorter processing times, and higher product yields compared to conventional heating processes.

Authors

Institutions

Publication Details

Journal
Food and Bioprocess Technology
Published
2024-09-09
DOI
https://doi.org/10.1007/s11947-024-03568-w
Citations
20
Primary Topic
Electrohydrodynamics and Fluid Dynamics
Type
article
Field-Weighted Citation Impact
4.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

System Design, Modelling, Energy Analysis, and Industrial Applications of Ohmic Heating Technology

Muhammad Akmal, Alexander O’Brien, Oluwaloba Oluwole-ojo, Hongwei Zhang et al.
20 citations
Food and Bioprocess Technology
Electrohydrodynamics and Fluid Dynamics
4.17
article

System Design, Modelling, Energy Analysis, and Industrial Applications of Ohmic Heating Technology

Muhammad Akmal, Alexander O’Brien, Oluwaloba Oluwole-ojo, Hongwei Zhang, Tasmiyah Javed, Timofei Breikin
article en
20 citations

Abstract

Abstract The food and drink industry is gradually gaining sustainability pressure due to the high carbon emissions rate and limited availability of traditional energy supplies. Thus, it is essential to consider energy efficiency and decarbonisation of the ever-expanding food and drink industry. Ohmic heating technology is a highly energy-efficient and quick method of electrically heating food products. It uses the resistance of the food material to convert electrical energy into heat. However, the heating rate of ohmic heating depends on several process variables, such as electrical conductivity, voltage gradient, and voltage frequency. Therefore, it is important to study and understand the effects of these process variables to optimise the modelling and control of ohmic heating systems to obtain desirable output from food products. Hence, this study presents a review of the effects of process parameters on nutritional and organoleptic qualities, product yields, and energy efficiency of ohmic heating, along with its various industrial applications. The technology shows promising advancements in colour and nutritional quality, increasing energy efficiency, shorter processing times, and higher product yields compared to conventional heating processes.

Food and Bioprocess TechnologyVol. 18(3)
Sheffield Hallam University (GB)
Openalex Percentile: Top 5%
Electrohydrodynamics and Fluid Dynamics
4.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.