Enhancing energy recovery in the steel industry: Matching continuous charge with off-gas variability smoothing

Magro, Fabio Dal; Meneghetti, Antonella; Nardin, Gioacchino; Savino, S.

doi:10.1016/j.enconman.2015.05.012

Cited by 47 publications

(29 citation statements)

References 27 publications

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“…represented by ECOARC and COSS, while the only major horizontal shaft scrap preheating process today is represented by the Consteel process [57]. Consteel and Ecoarc are the most important technologies for direct heat recovery in the continuous scrap loading [58]. The ECOARC TM Technology is an Electric Arc Furnace with a scrap preheating system developed by JSP Steel Plantech Co [59].…”

Section: Economic Analysismentioning

confidence: 99%

Process integration analysis and some economic-environmental implications for an innovative environmentally friendly recovery and pre-treatment of steel scrap

et al. 2016

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Section: Economic Analysismentioning

confidence: 99%

Process integration analysis and some economic-environmental implications for an innovative environmentally friendly recovery and pre-treatment of steel scrap

et al. 2016

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“…The tap-to-tap time is about 40 minutes, which results in a typical pattern in flue gas temperatures thoroughly described in literature [32]. Variations in flue gas temperatures correspond to oscillations in cooling water temperature at heat recovery outlet (T1 in figure 1).…”

Section: Case Study Descriptionmentioning

confidence: 99%

Water-energy and GHG nexus assessment of alternative heat recovery options in industry: A case study on electric steelmaking in Europe

Santin

Saro

2017

Energy

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In the last few years, the water-energy nexus concept has emerged as a global issue in the international research community. However, studies on European countries are relatively few, and often focused on the energy sector and agriculture, even though industry dominates water use in many European countries. Cooling purposes represent the main part of industrial water demand, and waste heat recovery is perceived as a main strategy to improve industrial resource efficiency. In this paper, we consider a real case study of low-temperature waste-heat recovery in an electric steelmaking industry and evaluate the impact of feasible interventions on primary energy and water consumption, as well as on CO2 equivalent emissions. Based on a Europe wide review of energy and water prices, of energy sources and corresponding resource efficiency indicators, a Monte Carlo model was developed to undertake a generalization of the case study to the EU-15. It was found that, in spite of common intuition, solutions with the lowest primary energy demand and the lowest CO2 equivalent emissions demonstrate the greatest water footprint. This is especially the case of southern European countries, where heat recovery projects with the highest water intensity are economically feasible due to high electricity and low water prices. As increasing carbon prices may exacerbate this phenomenon, inducing a switch to more water intensive technologies, policy instruments for supporting industrial energy efficiency or carbon emission reduction should be carefully designed.

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“…This problem is closely related to total-site heat integration [5] and design of heat-exchanger networks (HENs) across multiple plants [6], and has been extensively studied, though little in the context of industry clusters [7]. Surplus heat often originates from off-gases or cooling of batch processes, yielding highly fluctuating, possibly non-continuous heat streams [8]. Long distances between the source and sinks may cause heat losses and together with time-varying demands cause difficulties for on-time heat supply [9].…”

Section: Introductionmentioning

confidence: 99%

An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters

2019

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Industrial plants organized in clusters may improve their economics and energy efficiency by exchanging and utilizing surplus heat. However, integrating inherently dynamic processes and highly time-varying surplus-heat supplies and demands is challenging. To this end, a structured optimization and control framework may significantly improve inter-plant surplus-heat valorization. We present a Modelica-based systems model and optimal-control scheme for surplus-heat exchange in industrial clusters. An industry-cluster operator is assumed to coordinate and control the surplus-heat exchange infrastructure and responsible for handling the surplus heat and satisfy the sink plants’ heat demands. As a case study, we use an industry cluster consisting of two plants with surplus heat available and two plants with heat demand. The total surplus heat and heat demand are equal, but the availability and demand are highly asynchronous. By optimally utilizing demand predictions and a thermal energy storage (TES) unit, the operator is able to supply more than 98% of the deficit heat as surplus heat from the plants in the industry cluster, while only 77% in a corresponding case without TES. We argue that the proposed framework and case study illustrates a direction for increasing inter-plant surplus-heat utilization in industry clusters with reduced use of peak heating, often associated with high costs or emissions.

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Enhancing energy recovery in the steel industry: Matching continuous charge with off-gas variability smoothing

Cited by 47 publications

References 27 publications

Process integration analysis and some economic-environmental implications for an innovative environmentally friendly recovery and pre-treatment of steel scrap

Process integration analysis and some economic-environmental implications for an innovative environmentally friendly recovery and pre-treatment of steel scrap

Water-energy and GHG nexus assessment of alternative heat recovery options in industry: A case study on electric steelmaking in Europe

An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters

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