Reduction of the Specific Energy Use in an Integrated Steel Plant-The Effect of an Optimisation Model

Larsson, Mikael; Dahl, Jan

doi:10.2355/isijinternational.43.1664

Cited by 71 publications

(48 citation statements)

References 3 publications

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“…It was also shown that mixed-integer linear programming (MILP) provides a methodology for determining optimal strategies in order to minimise the overall energy costs in such industries [16]. Studies using such a methodology in a Swedish context include for example [17][18][19][20][21][22][23][24], where MIND (Method for analysis of INDustrial energy systems) was used. MIND is a method developed for optimization of dynamic industrial energy systems [17].…”

Section: Introductionmentioning

confidence: 99%

Optimization as investment decision support in a Swedish medium-sized iron foundry – A move beyond traditional energy auditing

2009

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Due to increased globalisation, industries are facing greater competition that is pressing companies into decreasing their expenses in order to increase their profits. As regards Swedish industry, it has been faced with substantial increases in energy prices in recent years. Barriers to energy efficiency such as imperfect information inhibit investments in energy efficiency measures, energy audits being one means of reducing barriers and overcoming imperfect information. However, an evaluation of such energy audits in Sweden reveals that it is chiefly low-cost measures that are undertaken as a result of an audit. Moreover, these audits often tend to focus on support processes such as ventilation, lighting, air compressors etc., while measures impacting production processes are often not as extensively covered, which underlines the need for further support in addition to energy audits. Decision support is practised in a variety of different disciplines such as optimization and simulation and the aim of this paper is to explore whether investment decision support practices may be used successfully towards small and medium-sized manufacturers in Sweden when complex production-related investment decisions are taken. The optimization results from the different cases, involving a foundry's investment in a new melting unit, indicate that with no electricity price fluctuations over the day, the investment seems sound as it lowers the overall energy costs. However, with fluctuating electricity prices, there are no large differences in energy costs between the option of retaining the existing five melting furnaces at the foundry and investing in a twin furnace and removing the holding furnaces -which was the initial investment plan for the foundry in the study. It would not have been possible to achieve this outcome without the use of investment decision support such as MIND. One of the main conclusions in this paper is that investment decision support, when strategic investment decisions are to be taken, may be a means of emphasising energy efficiency for energy-intensive SMEs beyond the level of traditional energy auditing. Keywords

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Section: Introductionmentioning

confidence: 99%

Optimization as investment decision support in a Swedish medium-sized iron foundry – A move beyond traditional energy auditing

2009

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“…The model used in this work is based on an existing model that was initially developed for analysis of the energy use for an integrated steel plant, and the model has been validated by using actual production data [13]. This model has been successfully used in several studies mainly focusing on material, energy use and production cost C. WANG ET AL.…”

Section: Validationmentioning

confidence: 99%

A model on CO₂emission reduction in integrated steelmaking by optimization methods

Wang

Larsson

Ryman

et al. 2008

Int. J. Energy Res.

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SUMMARYThe iron and steel industry is a large energy user in the manufacturing sector. Carbon dioxide from the steel industry accounts for about 5-7% of the total anthropogenic CO 2 emission. Concerns about energy consumption and climate change have been growing on the sustainability agenda of the steel industry. The CO 2 emission will be heavily influenced with increasing steel production in the world. It is of great interest to evaluate and decrease the specific CO 2 emission and to find out feasible solutions for its reduction. In this work, a process integration method focusing on the integrated steel plant system has been applied. In this paper, an optimization model, which can be used to evaluate CO 2 emission for the integrated steel plant system, is presented. Two application cases of analysing CO 2 emission reduction possibilities are included in the paper. Furthermore, the possibility to apply the model for a specific integrated steel plant has been discussed. The research work on the optimization of energy and CO 2 emission has shown that it is possible to create a combined optimization tool that is powerful to assess the system performance from several aspects for the steel plant.

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“…The reMIND tool has been used in several industries, such as the Swedish foundry industry [2], steel industry [4,[35][36] and pulp and paper mills [6,39] as well as district heating systems [7]. In these studies the ESO tool reMIND is used to find the optimal operation strategy and investigate how different boundary conditions, such as changes in electricity and fuel prices, influence the system.…”

Section: Energy Systems Optimisation (Eso) Toolmentioning

confidence: 99%

Combining optimisation and simulation in an energy systems analysis of a Swedish iron foundry

Mardan

Klahr

2012

Energy

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To face global competition, and also reduce environmental and climate impact, industrywide changes are needed, especially regarding energy use, which is closely related to global warming. Energy efficiency is therefore an essential task for the future as it has a significant impact on both business profits and the environment. For the analysis of possible changes in industrial production processes, and to choose what changes should be made, various modelling tools can be used as a decision support. This paper uses two types of energy analysis tool: Discrete Event Simulation (DES) and Energy Systems Optimisation (ESO). The aim of this study is to describe how a DES and an ESO tool can be combined. A comprehensive five-step approach is proposed for reducing system costs and making a more robust production system. A case study representing a new investment in part of a Swedish iron foundry is also included to illustrate the method's use. The method described in this paper is based on the use of the DES program QUEST and the ESO tool reMIND. The method combination itself is generic, i.e. other similar programs can be used as well with some adjustments and adaptations.The results from the case study show that when different boundary conditions are used the result obtained from the simulation tools is not optimum, in other words, the result 2 shows only a feasible solution and not the best way to run the factory. It is therefore important to use the optimisation tool in such cases in order to obtain the optimum operating strategy. By using the optimisation tool a substantial amount of resources can be saved. The results also show that the combination of optimisation and simulation tools is useful to provide very detailed information about how the system works and to predict system behaviour as well as to minimise the system cost.

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Reduction of the Specific Energy Use in an Integrated Steel Plant-The Effect of an Optimisation Model

Cited by 71 publications

References 3 publications

Optimization as investment decision support in a Swedish medium-sized iron foundry – A move beyond traditional energy auditing

Optimization as investment decision support in a Swedish medium-sized iron foundry – A move beyond traditional energy auditing

A model on CO₂emission reduction in integrated steelmaking by optimization methods

Combining optimisation and simulation in an energy systems analysis of a Swedish iron foundry

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Reduction of the Specific Energy Use in an Integrated Steel Plant-The Effect of an Optimisation Model

Cited by 71 publications

References 3 publications

Optimization as investment decision support in a Swedish medium-sized iron foundry – A move beyond traditional energy auditing

Optimization as investment decision support in a Swedish medium-sized iron foundry – A move beyond traditional energy auditing

A model on CO2emission reduction in integrated steelmaking by optimization methods

Combining optimisation and simulation in an energy systems analysis of a Swedish iron foundry

Contact Info

Product

Resources

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A model on CO₂emission reduction in integrated steelmaking by optimization methods