Energy Performance, Environmental Impacts and Costs of a Drying System: Life Cycle Analysis of Conventional and Heat Recovery Scenarios

Author:

Urbano Dario Giuseppe1ORCID,Aquino Andrea1ORCID,Scrucca Flavio2ORCID

Affiliation:

1. Department of Mechanical and Industrial Engineering, University of Brescia, 25123 Brescia, Italy

2. Department of Sustainability, Circular Economy Section, Italian National Agency for New Technologies Energy and Sustainable Economic Development (ENEA), 00059 Rome, Italy

Abstract

High energy consumption is one of the main problems of drying, a critical process for many industrial sectors. The optimization of drying energy use results in significant energy saving and has become a topic of interest in recent decades. We investigate benefits of heat recovery in a convective drying system by comparing two different scenarios. The Baseline Scenario is a conventional industrial dryer, and Scenario 1 includes the preheating of drying air by exhausts from the drying chamber. We show that the energy efficiency of the drying cycle is strictly related to the properties of the dried material and operative conditions, and performance improves significantly (by 59% to 87%) when installing a heat recovery unit (Scenario 1). Additionally, the temperature of drying air affects performance. We assess both scenarios by LCA analysis, measuring the environmental impacts and externalities of four different fuels (natural gas, light fuel oil, biomethane, and hardwood chips). Our findings indicate that heat recovery reduces environmental impacts, both when fossil and renewable fuels feed the system, but unexpected impact arises for some categories when renewable fuels are used.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference48 articles.

1. Gardner, A.W. (1971). Industrial Drying, Biliing & Sons Ltd.

2. Strumillo, C. (1986). Drying: Principles, Applications, and Design, CRC Press.

3. Heat and mass transfer modeling for fruit drying: A review;Iqbal;MOJ Food Process. Technol.,2019

4. Mujumdar, A.S. (2006). Handbook of Industrial Drying, CRC Press.

5. CFD modeling of hydrodynamic and heat transfer in fluidized bed reactors;Behjat;Int. Commun. Heat Mass Transf.,2008

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