Energy efficiency assessment: Process modelling and waste heat recovery analysis

•The proposed modelling allows Energy Efficiency Measures to be dynamically analysed.•The proposed recovery system reduces the energy consumption up to 55%.•The new dynamic energy behaviour is settled for the process and recovery system.•The payback of the proposed measure is 3 years and saves 300 M...

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Veröffentlicht in:Energy conversion and management 2019-09, Vol.196, p.1180-1192
Hauptverfasser: Bonilla-Campos, Iñigo, Nieto, Nerea, del Portillo-Valdes, Luis, Egilegor, Bakartxo, Manzanedo, Jaio, Gaztañaga, Haizea
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container_end_page 1192
container_issue
container_start_page 1180
container_title Energy conversion and management
container_volume 196
creator Bonilla-Campos, Iñigo
Nieto, Nerea
del Portillo-Valdes, Luis
Egilegor, Bakartxo
Manzanedo, Jaio
Gaztañaga, Haizea
description •The proposed modelling allows Energy Efficiency Measures to be dynamically analysed.•The proposed recovery system reduces the energy consumption up to 55%.•The new dynamic energy behaviour is settled for the process and recovery system.•The payback of the proposed measure is 3 years and saves 300 MWh/year.•Energy Efficiency Measures are evaluated in energy, production and economic terms. Energy efficiency in industry is not as elevated as it should be. The aim of this paper is to present a process evaluation based on modelling as well as a waste heat recovery evaluation for a continuous heat treatment process of an Aluminium Die-Casting plant. The process is represented by production and energy dynamic (time-dependent) models combining thermal phenomena with production and economic considerations. These models allow the energy consumption, resource utilization and the production schema to be evaluated. Simulated theoretical phenomena were compared and validated with real data measurements. Once validated, the model of the heat treatment process was applied to search the best work configuration and to identify, quantify and evaluate the impact of a waste heat recovery system. Based on simulation results, their viability (energy savings or productivity increase) was quantified. The assessment shows a potential to reduce the natural gas consumption in the aging heat treatment process up to 55%, with approximately a 3-years payback period and savings of 300 MWh/year. The new working way of the process is assessed. The burners of the aging treatment process present energy reductions from 50% to 80% depending on the burner position. The new waste heat recovery system provides up to 63% of the new energy required by the aging furnace.
doi_str_mv 10.1016/j.enconman.2019.06.074
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The assessment shows a potential to reduce the natural gas consumption in the aging heat treatment process up to 55%, with approximately a 3-years payback period and savings of 300 MWh/year. The new working way of the process is assessed. The burners of the aging treatment process present energy reductions from 50% to 80% depending on the burner position. 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source Elsevier ScienceDirect Journals Complete
subjects Aging
Aging (natural)
Aluminum
Computer simulation
Continuous casting
Die casting
Economic conditions
Economic models
Energy conservation
Energy consumption
Energy efficiency
Energy management
Energy recovery
Energy savings
Evaluation
Furnace modelling
Heat
Heat recovery
Heat recovery systems
Heat treatment
Modelling
Natural gas
Payback periods
Power efficiency
Process assessment
Resource utilization
Time dependence
Viability
Waste heat
Waste heat recovery
title Energy efficiency assessment: Process modelling and waste heat recovery analysis
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