Exergy and energy analysis of an AC steel electric arc furnace under actual conditions

Similar documents
Thermodynamic analysis on post combustion CO 2 capture of natural gas fired power plant

EAF burdening How can EAF burdening best utilise DRI? Rutger Gyllenram Kobolde & Partners

Exergy Analysis of a Power Plant in Abu Dhabi (UAE)

Chapter 2 Electric Arc Furnace as Thermoenergetical Unit

4.1 Introduction 4.2 Kiln System. 4.3 Kiln System Analysis 4.4 Results and Discussion 4.5 Conclusion

Modelling of the off-gas exit temperature and slag foam depth. of an Electric Arc Furnace

Lecture 14 Modern trends in BOF steelmaking

Dr. Joseph J Poveromo, Raw Materials & Ironmaking Global Consulting DR Pellet Quality & MENA Applications

The effect of foamy slag in electric arc furnaces on electric energy consumption

Conversion of CO 2 Gas to CO Gas by the Utilization of Decarburization Reaction during Steelmaking Process

Can Fluorspar be replaced in steelmaking? Eugene Pretorius Baker Refractories

OUTCOME 2 TUTORIAL 2 STEADY FLOW PLANT

Energy 34 (2009) Contents lists available at ScienceDirect. Energy. journal homepage:

EXERGOECONOMIC ANALYSIS OF A POWER PLANT IN ABU DHABI. Ahmed Nabil Al Ansi, Mubarak Salem Ballaith, Hassan Ali Al Kaabi, Advisor: Zin Eddine Dadach

4th Slag Valorisation Symposium, April Conditioning of Lead and Zinc Slags in Pilot Scale SAF for further Utilization

Chromium research at SINTEF and NTNU Eli Ringdalen, SINTEF

Efficiency improvement of steam power plants in Kuwait

By-Products from EAF Dust Recycling and Their Valorisation. Vlad POPOVICI

Treatment of lead and zinc slags in hollow electrode DC-EAF

concentration of acid in mol / dm 3 temperature / C ti / min

Thermodynamic analysis of a regenerative gas turbine cogeneration plant

IRONMAKING and THEORY AND PRACTICE. Ahindra Ghosh Amit Chatterjee

The IIMA Value-in-Use Model. For Evaluation screening of OBM Materials. Version 3.0. Operating Manual. May 29, 2017

ENERGY AND EXERGY ANALYSIS OF SNØHVIT - AN LNG PROCESSING PLANT IN NORWAY

Parameters Affecting the Production of High Carbon Ferromanganese in Closed Submerged Arc Furnace

Effect of Charge Materials on Slag Formation in Ductile Iron Melts

THE INFLUENCE OF BRIQUETTED SYNTHETIC SLAGS ON STEEL REFINING IN LADLE

DRI Direct Reduced Iron

RECYCLING PRACTICES OF SPENT MgO-C REFRACTORIES

Brimacombe Lecture. Research on Sustainable Steelmaking

Materials engineering. Iron and steel making

Energy And Exergy Analysis Of Fully Condensing Steam Turbine At Various Steam Load Condition

CHAPTER VII MELTING D-R PELLETS. the volume of gases evolved, the movements of the solid-liquid

Pinch Analysis for Power Plant: A Novel Approach for Increase in Efficiency

REFINING STEELS PRODUCED IN ELECTRIC ARC FURNACE

Exergy Based Analysis of an Open Cycle Gas Turbine Power Plant

MCG THERMODYNAMICS II. 22 April 2008 Page 1 of 7 Prof. W. Hallett

Higher cost and resource efficiencies during stainless steelmaking in an EAF

Performance of a Gas Turbine Power Plant

a. The power required to drive the compressor; b. The inlet and output pipe cross-sectional area. [Ans: kw, m 2 ] [3.34, R. K.

Understand boiler performance characteristics. Use these suggestions when buying, designing or optimizing steam generators

Low-Grade Waste Heat Recovery for Power Production using an Absorption-Rankine Cycle

Influence of TiC on the Viscosity of CaO MgO Al 2 O 3 SiO 2 TiC Suspension System

metals temperature limits.

Electric Arc Furnace Simulation User Guide Version 1

Electric Furnace Off-Gas Cleaning Systems Installation at PT Inco ABSTRACT

Thermodynamic and Thermo Economic Optimization of Combined Cycle Power Plant

AIR QUALITY MANAGEMENT at URBAN REGIONAL and GLOBAL SCALES 4 International and IUAPPA Regional Conference,10-13 September 2012 Istanbul-Turkey

OPTIMUM PROCESS CONDITIONS FOR THE PRODUCTION OF PIG IRON BY COREX PROCESS. Abstract

MEASUREMENT OF THE OXYGEN POTENTIAL OF NON-FERROUS SLAGS WITH AN EX-SITU ELECTROCHEMICAL DEVICE

Steam balance optimisation strategies

Article Thermodynamic Analysis of Three Compressed Air Energy Storage Systems: Conventional, Adiabatic, and Hydrogen-Fueled

EFFECT OF AMBIENT TEMPERATURE, GAS TURBINE INLET TEMPERATURE AND COMPRESSOR PRESSURE RATIO ON PERFORMANCE OF COMBINED CYCLE POWER PLANT

Energy consumption, waste heat utilisation and pollution control in ferro alloy industry

ENERGIRON DRI PLANTS FLEXIBILITY FOR ANY STEELMAKING REQUIREMENT

Metallurgical Gas Cleaning System Design for Emissions Control and Energy Efficiency

weight% Alt. 1 Alt. 2 CaO 32,4 33,6 SiO2 33,1 33,7 Al2O3 11,9 11,9 MgO 17,6 16,0

Selective Oxidation of Advanced High Strength Steels (AHSS) and Ultra High Strength Steel (UHSS) Utilizing Direct Fired Burners

Analysis of carbon dioxide emission of gas fuelled cogeneration plant

Thermodynamic database of P 2 O 5 -containing oxide system for De-P process in steelmaking

Table of Contents. Preface...

E. CHAN, M. RILEY, M. J. THOMSON 1) and E. J. EVENSON 2)

Exergoeconomic Analysis of A 100MW Unit GE Frame 9 Gas Turbine Plant in Ughelli, Nigeria.

Hydrogen oxygen steam generator integrating with renewable energy resource for electricity generation

Final Technical Report. Project Title: Melting Efficiency Improvement. Award Number: DE-FC36-04GO Project Period: (January 2004 June 2012)

Energy Conversion and Management

Energy Efficient Process Heating: Managing Air Flow

Diode laser beam absorption in laser transformation hardening of low alloy steel

SECONDARY STEELMAKING

Furnace Monitoring and Billet Cutting System

Design and distribution of air nozzles in the biomass boiler assembly

Improvement of distillation column efficiency by integration with organic Rankine power generation cycle. Introduction

Manganese concentrate usage in steelmaking

High-Carbon DRI: the feeding material to improve performances and decrease

Lecture No.3. The Ideal Reheat Rankine Cycle

Capture Device Design for Furnace Emissions

Model development of a blast furnace stove

Use of DRI/HBI in ironmaking and steelmaking furnaces

Energy saving Opportunities in Steel Reheating Furnaces

Exergoeconomic Analysis of a Power Plant in Abu Dhabi (UAE)

Modelling of CO 2 capture using Aspen Plus for EDF power plant, Krakow, Poland

Energy Audit of 250 MW Thermal Power Stations PTPS, Panipat

TOTAL WATER MANAGEMENT IN THE STEEL INDUSTRY. By N. Ramachandran, Ion Exchange (India) Ltd

Plant Utilities and Energy Efficiency CH505

Review Questions for the FE Examination

Performance of a counterflow heat exchanger with heat loss through the wall at the cold end

Twinjection Technology Improves Hot Metal Desulphurisation at Corus Scunthorpe Works

A novel Brayton cycle with the integration of liquid hydrogen cryogenic exergy utilization

Published in German in METALL (Berlin) 28 (11), (1974) THE RECOVERY OF COPPER, IRON, AND SULFUR FROM CHALCOPYRITE CONCENTRATE BY REDUCTION

GASIFICATION AND THE MIDREX DIRECT REDUCTION PROCESS

Development of the Process for Producing Pre-reduced Agglomerates

matte phases are calculated with varying matte grades and tion. So, it is very important to understand the behaviors of

Application of CFB (Circulating Fluidized Bed) to Sewage Sludge Incinerator

Evaluation of Viscosity of Molten SiO_2-CaO-MgO- Al_2O_3 Slags in Blast Furnace Operation

High-efficiency low LCOE combined cycles for sour gas oxy-combustion with CO[subscript 2] capture

19. H, S, C, and G Diagrams Module

Potentials and Limitations with respect to NO x -Reduction of Coke Plants

Lecture 26 Degassing Practice

Energy and Exergy Analyses of Egyptian Cement Kiln Plant With Complete Kiln Gas Diversion through by Pass

Arch. Metall. Mater. 62 (2017), 2,

Transcription:

380 Int. J. Exergy, Vol. 12, No. 3, 2013 Exergy and energy analysis of an AC steel electric arc furnace under actual conditions Ebrahim Hajidavalloo*, Hamze Dashti and Morteza Behbahani-Nejad Mechanical Engineering Department, Shahid Chamran University, Ahvaz, Iran Email: hajidae_1999@yahoo.com Email: hamze_dashti_1361@yahoo.com Email: bnmorteza@scu.ac.ir *Corresponding author Abstract: The energy and exergy analyses of an existing steel Electric Arc Furnace (EAF) are performed to estimate the potential for increasing the furnace efficiency. To obtain realistic results, the effect of air infiltration into the furnace was taken into account. The results of the analyses revealed that the energy and exergy efficiencies of the furnace are low and should be increased. The main sources of energy waste are stack gases followed by heat transfer to the cooling water, while the main sources of exergy destruction are combustion and heat transfer. Hot stack gases contain 18.3% and 12.2% of the total input energy and exergy, respectively. Increasing the air infiltration reduces the energy and exergy efficiencies of the EAF. By using the energy of flue gas to preheat the sponge iron, the electrical energy consumption of the furnace can be reduced by 89 GJ, dictating a 21.4% reduction in electrical energy consumption and a 13.6% increase in steel production. Keywords: exergy analysis; steel electric arc furnace; preheating. Reference to this paper should be made as follows: Hajidavalloo, E., Dashti, H. and Behbahani-Nejad, M. (2013) Exergy and energy analysis of an AC steel electric arc furnace under actual conditions, Int. J. Exergy, Vol. 12, No. 3, pp.380 404. Biographical notes: Ebrahim Hajidavalloo is an Associate Professor in Mechanical Engineering Department of Shahid Chamran University of Ahvaz. He has completed his PhD from Dalhousie University in Canada and since then is working in current position. Hamze Dashti is MSc graduate from Mechanical Engineering Department of Shahid Chamran University of Ahvaz. Morteza Behbahani-Nejad is an Associate Professor in Mechanical Engineering Department of Shahid Chamran University of Ahvaz. He has completed his PhD from Tehran University in Iran and since then is working in current position. This paper is a revised and expanded version of a paper entitled Exergy analysis of steel electric arc furnace presented at the ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis, 12 14 July 2010, Istanbul, Turkey. Copyright 2013 Inderscience Enterprises Ltd.

Exergy and energy analysis of an AC steel electric arc furnace 381 1 Introduction The iron and steel industries are the largest industrial energy consumers. According to Camdali et al. (2005), approximately 12% of world energy production is used in the iron and steel sectors. Bisio et al. (2000) reported that after employee costs, energy costs represent the highest cost element in integrated steel works (about 30% of the total cost). The share of Electric Arc Furnace (EAF) technology in the iron and steel industry is increasing rapidly and was associated with at least 50% of the total steel production in 2010, based on the prediction of Raja et al. (2000). There have been many investigations regarding the energy analysis of EAFs. Most recently, Kirschen et al. (2009) presented energy balances for 70 modern EAFs and found that the total energy requirements of these EAFs ranged from 510 to 880 kwh/ton, with energy efficiencies between 40% and 75%. They reported that a decrease in energy losses to off-gassing systems and cooling systems will increase energy efficiency and thereby decrease CO2 emissions. Fruehan et al. (2000) showed that the energy used to produce liquid steel by EAF facilities is significantly higher than the theoretical minimum energy requirements. They also indicated the potential for practical reductions in the EAF energy requirements by about 24 33%. Hajidavalloo and Alagheband (2008) investigated the effect of sponge iron preheating on the efficiency of electric arc furnaces. They proposed that, by using a neutral gas such as nitrogen as the working fluid, some portion of the exit flue gas can be saved and returned to the furnace. Contrary to the energy analysis, there has not been much work to address the exergy analysis of EAFs. In the exergy analysis, the first and second laws of thermodynamics are used to evaluate the potential improvement in the performance of a thermal system. Summaries of the evolution of exergy analysis throughout the late 1980s are provided by Kotas (1985), Moran and Sciubba (1994), Bejan et al. (1996), Rosen (1999), and Dincer (2002). In recent years, many researchers have used exergy analysis for industrial processes. Camdali and Tunc (2003) studied the exergy analysis of an EAF and concluded that its exergy efficiency is about 55%. They also computed the chemical exergy of the different input and output materials of the EAF. Bisio et al. (2000) studied the effects of design parameters on the performance of the EAF. Based on their research, the exergy efficiency of the furnace is about 55% if a heat recovery scheme is used but, otherwise the exergy efficiency is around 52%. Ostrovski and Zhang (2005) studied the energy and exergy efficiencies of the blast iron making process and found that the overall efficiency strongly depends on the utilisation of off-gas. The efficiency of a natural gasfired aluminum melting furnace in a die-casting plant was examined by Rosen and Lee (2009) using energy and exergy methods. They found that the overall-system efficiency was 10% for energy and 6% for exergy. Coskun et al. (2009) proposed a new approach for simplifying the calculation of flue gas specific heat and specific exergy value in one formulation depending on fuel chemical composition. As seen, there are not many reports on the exergy analysis of EAFs in the literature. Moreover, those who have discussed the subject made simplifying assumptions that are not realistic to the best knowledge of the authors. For example, the effect of air infiltration in the EAF was neglected in previous researches (Camdali et al., 2003; Camdali and Tunc 2003), even though it has important effects on the energy and exergy balance of the furnace. In this study, energy and exergy analyses of the EAF were performed while considering the effect of air infiltration into the furnace.

382 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad 2 System description In electric arc furnaces, high voltage is applied to electrodes to create an electric arc between a metal charge and the electrodes. Heat is generated by the electrical resistance of the metal charge against passing the electric current. Production of liquid steel in an electric arc furnace can be defined with the following order: Charging with scrap and sponge iron Melting the charge material Superheating the melt Discharging The production of high-quality steel is the result of using proper materials with good compositions that produced the following chemical reaction in the EAF (Camdali et al., 2003): 2[Fe]+3[O] [Fe 2 O 3 ], [Fe]+[O] [FeO], [C]+[O] CO (g), [Si]+2[O] [SiO 2 ], [Mn]+[O] [MnO], 2[P]+5[O] [P 2 O 5 ], (CaO)+[S] (CaS)+[O], (CaCO 3 ) (CaO)+ CO 2(g), 2[Al]+3[O] [Al 2 O 3 ], and [Ca]+[O] (CaO), [Zn]+[O] [ZnO]. where brackets and parentheses are used for materials in solid and liquid phase, respectively. 3 Analysis Exergy analysis is a useful tool in furthering a more efficient use of energy-resources, because it enables the locations, types, and magnitudes of wastes and losses to be accurately identified and meaningful efficiencies to be determined (Dincer and Rosen, 2007). In the exergy analysis, a complete equilibrium of the system with its environment is considered, including the chemical and thermal equilibriums. The exergy balance can be expressed in different forms, depending on the inlet and outlet conditions. For an open system in a steady state which is in contact with n heat sources, as well as multiple inlets and outlets, and has a net input work equal to W, the exergy balance over a specific time period can be expressed as follows: T n W Ex Q mex mex Ex i1 Ti in out 0 I 1 i (1) where Ex W is the work exergy (MJ), Q i is the heat loss (MJ), Ex I is the internal exergy destruction (MJ), and ex is the inlet or outlet exergy (MJ/kg). The specific time period is usually considered to be the batch time of the furnace. The temperature and pressure in a reference state, T 0 and P 0, are taken as 25 C and 100 kpa, respectively. Figure 1 shows a general system with all the exergy components.

Exergy and energy analysis of an AC steel electric arc furnace 383 Figure 1 Exergy balance of an open system at steady condition Specific flow exergy is generally divided into thermo-mechanical and chemical exergies as follows: tm ch ex ex ex (2) Thermo-mechanical exergy includes kinetic, potential and physical exergies that can be represented as follows: tm kin pot phy ex ex ex ex (3) The physical exergy of the flow is calculated from the following relation: phy ex hi1 hi0 T0 Si 1 Si0 (4) The kinetic and potential energies of a material stream are ordered forms of energy, so these are fully convertible to work and can be defined as follows: 2 kin Vi ex (5) 2 ex pot g Z (6) E i Since the changes in the potential and the kinetic exergies are negligible, so they are not taking into account in the calculations. Chemical exergy is equal to the maximum amount of work obtainable when the substance under consideration is brought from the environmental state to dead state by processes involving heat transfer and exchange of substance only with environment (Kotas, 1985) The standard chemical molar exergy of ch the fuel constituents ( ex ) can be found in thermodynamic tables (Moran and Shapiro, 2000). The molar chemical exergy of a gas mixture is obtained from the following relation (Moran and Shapiro, 2000): j j ch ch Ex n yiexi RT 0 yiln yi i1 i1 where y i is the molar ratio of the i-th gas constituent. (7)

384 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad 3.1 Exergy balance of electric arc furnace An actual AC EAF, working at the Khouzestan Steel Company in Iran, was considered for this study in order to obtain realistic data. Figure 2 shows a schematic diagram of the EAF based on the exergy balance terms. The following assumptions are made during the exergy analysis: The heating process in the furnace occurs in a steady state. This steady process can be integrated over a specific time period (e.g. the batch time period of the EAF, which is about 110 min.) Stack gases can be treated as ideal gases. Hence, the exergy balance equation for the EAF can be expressed as follows: phy ch, in phy ch, out TI (8) W mex Ex mex Ex Ex in out where Ex TI is the total irreversibility including the internal and external parts. In addition, the inlet and outlet exergies of the materials are expressed as follows: in out mex m ex m ex m ex m ex phy phy phy phy phy scr scr sp sp elk elk ck ck m ex m ex m ex m ex phy phy phy phy lim lim dlm dlm oxy oxy cw cw mex m ex m ex m ex m ex phy phy phy phy phy ls ls stsl stsl dst dst sg sg m ex cw phy cw The effect of differences between the ambient and the inlet and the outlet pressure is usually negligible, so the enthalpy and entropy changes of materials can be calculated as follows: T i1 i0 T P 0 h h C dt (11) T i1 i0 T P 0 S S C T dt (12) C a bt ct (9) (10) 2 P (13) The coefficients (a, b and c) used in equation (13) can be found in thermo-chemistry tables (Kubaschewski et al., 1989). Owing to the presence of induced draft fan (ID fan) at the end of the exhaust duct, ambient air is generally drawn into the furnace through the opening in the external surface of the furnace. This opening is used to discharge slag from the EAF. In most investigations (Camdali et al., 2003; Camdali and Tunc 2003) the effect of air infiltration has not been taken into account by the energy and exergy analyses of the EAF. Since the rate of air infiltration in the furnace is not negligible, its effects on the energy and exergy analyses are significant and must be considered.

Exergy and energy analysis of an AC steel electric arc furnace 385 Figure 2 Total exergy balance for EAF The first-law efficiency of EAF can be defined as the ratio between the energy in the liquid steel output to the energy input, which is mostly electrical energy. This can be expressed as follow: mi ls ls (14) mi in in Exergy efficiency is defined as the ratio of the recovered exergy to the supplied exergy (Cengel and Boles, 1994). Accordingly, the exergy efficiency of the EAF is the ratio between the recovered exergy of the liquid steel output and the mostly electrical exergy input. This can be expressed as follows: Exergy recovered mex ls ls Evergy supplied m ex (15) in in 4 Results and discussion The energy and exergy balances of the EAF can now be calculated on the basis of the data available in the plant. Most investigations have not considered the effect of air infiltration in the energy and exergy analyses. This neglect is not accurate, because air is drawn into the furnace through the external opening and thus affects the thermal balance of the system (Fruehan et al. 2000). To quantify the effect, the analysis was performed with and without air infiltration. 4.1 Energy and exergy analyses of EAF without air infiltration Tables 1 and 2 show the chemical components of input and output materials without air infiltration. Also, the physical exergies of all input and output materials are listed in Tables 3 and 4, respectively. The chemical exergies of the input and output materials are listed in Tables 5 and 4, respectively. Because the masses and temperatures of the input and output materials are fixed, the difference between chemical exergy input and output is constant and is defined for simplicity as follows: ch, net ch, in ch, out Ex Ex Ex 1419324.31290107.2 129217.1 MJ

386 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad Figures 3 and 4 compare the chemical exergies of the input and output materials, respectively. It should be noted that sponge iron has the highest chemical exergy of the input materials and liquid steel has the highest exergy of the output materials. Figure 3 Chemical exergy of input materials Figure 4 Chemical exergy of output materials Table 1 Chemical components of the input materials Ch. Component (%) m (kg) M (kg/kmole) n (kmole) Scrap Iron Fe 97 19,400 55.847 347.3777 C 1 200 12.011 16.6514 Si 0.37 74 28.086 2.6348 Mn 0.66 132 54.938 2.4027 P 0.06 12 30.974 0.3874 S 0.06 12 32.06 0.3743 Cr 0.42 84 51.996 1.6155 Ni 0.12 24 58.71 0.4088

Exergy and energy analysis of an AC steel electric arc furnace 387 Table 1 Chemical components of the input materials (continued) Ch. Component (%) m (kg) M (kg/kmole) n (kmole) Mo 0.11 22 95.94 0.2293 Cu 0.2 40 63.546 0.6295 TOTAL 100 20,000 484.108 372.7113 Sponge Iron Fe 89.22 151,674 55.847 2,715.8845 C 1.87 3,179 12.011 264.6740 P 0.41 697 30.974 22.5027 S 0.35 595 32.06 18.5590 MnO 0.43 731 70.937 10.3049 SiO 2 3.82 6494 60.084 108.0820 Al 2 O 3 1.1 1870 101.961 18.3403 CaO 1.6 2720 56.079 48.5030 MgO 1.2 2040 40.304 50.6153 TOTAL 100 170,000 460.257 3,257.4658 Cock C 89 1,780 12.011 148.1975 SiO 2 4 80 60.084 1.3315 Al 2 O 3 3 60 101.961 0.5885 H 2 O 2 40 18.015 2.2204 Fe 2 O 3 0.75 15 159.691 0.0939 CaO 0.75 15 56.079 0.2675 S 0.5 10 32.06 0.3119 TOTAL 100 2,000 439.901 153.0111 Electrode C 99.3 425.997 12.011 35.4672 Si 0.15 0.6435 28.086 0.0229 Fe 0.15 0.6435 55.847 0.0115 Ca 0.15 0.6435 40.08 0.0161 Al 0.05 0.2145 26.982 0.0079 SiO2 0.05 0.2145 60.084 0.0036 Al2O3 0.05 0.2145 101.961 0.0021 Fe2O3 0.05 0.2145 159.691 0.0013 MgO 0.05 0.2145 40.304 0.0053 TOTAL 100.00 429 525.05 35.54 Lime CaO 95 7,600 56.079 135.52 MgO 5 400 40.304 9.92 TOTAL 100 8,000 96.383 145.45

388 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad Table 1 Chemical components of the input materials (continued) Ch. Component (%) m (kg) M (kg/kmole) n (kmole) Dolomite CaO 65 2,600 56.079 46.36 MgO 35 1,400 40.304 34.74 TOTAL 100 4,000 96.383 81.10 Oxygen O 2 100 11,377 31.998 355.57 TOTAL 100 11,377 31.998 355.57 Cooling Water H 2 O 100 1,146,107 18.02 63619.57 TOTAL 100 1,146,107 18.02 63619.57 OVERALL 215,806.4 (without CW) 4,400.8 Table 2 Chemical components of the output materials Ch. Component (%) m (kg) M (kg/kmol) n (kmol) Liquid Steel Fe 99.10 163,123.92 55.85 2,920.91 C 0.08 137.65 12.01 11.46 Si 0.16 262.34 28.09 9.34 Mn 0.17 277.31 54.94 5.05 P 0.16 271.48 30.97 8.76 S 0.26 421.83 32.06 13.16 Cr 0.02 28.81 52.00 0.55 Ni 0.01 23.80 58.71 0.41 Mo 0.01 21.82 95.94 0.23 Cu 0.02 39.67 63.55 0.62 TOTAL 100.00 164,608.63 484.11 2,970.49 Steel in Slag Fe 99.10 1,365.26 55.85 24.45 C 0.08 1.15 12.01 0.10 Si 0.16 2.20 28.09 0.08 Mn 0.17 2.32 54.94 0.04 P 0.16 2.27 30.97 0.07 S 0.26 3.53 32.06 0.11 Cr 0.02 0.24 52.00 0.00 Ni 0.01 0.20 58.71 0.00 Mo 0.01 0.18 95.94 0.00 Cu 0.02 0.33 63.55 0.01 TOTAL 100.00 1,377.69 484.11 24.86

Exergy and energy analysis of an AC steel electric arc furnace 389 Table 2 Chemical components of the output materials (continued) Ch. Component (%) m (kg) M (kg/kmol) n (kmol) Dust Fe 2 O 3 79.90 9,195.14 159.691 57.58 Al 2 O 3 4.98 572.97 101.961 5.62 CaO 3.93 451.85 56.079 8.06 MnO 0.52 60.00 70.937 0.85 Cr 2 O 3 0.09 10.41 151.989 0.07 SiO 2 7.97 917.73 60.084 15.27 C 2.61 300.12 12.011 24.99 TOTAL 100.00 11,508.22 612.752 112.43 Slag CaO 49.01 12,148.84 56.08 216.64 FeO 0.82 204.21 71.85 2.84 SiO 2 21.18 5,250.24 60.08 87.38 MnO 1.94 480.37 70.94 6.77 Fe 2 O 3 0.03 8.49 159.69 0.05 Al 2 O 3 5.48 1,357.65 101.96 13.32 Cr 2 O 3 0.28 69.90 151.99 0.46 P 2 O 5 4.02 997.29 141.94 7.03 CaS 1.74 431.22 72.14 5.98 MgO 15.49 3,840.21 40.30 95.28 TOTAL 100.00 24,788.43 926.97 435.75 Stack Gas CO 69.55 9,405.10 28.01 335.78 CO 2 30.16 4,078.35 44.01 92.67 H 2 O 0.30 40.00 18.02 2.22 TOTAL 100.00 13,523.46 90.03 430.67 Cooling Water H 2 O 100.00 114,106 18.02 63,619.57 TOTAL 100.00 114,106 18.02 63,619.57 OVERALL 215,806.4 ( without water) 3,974.2 Table 3 Physical exergy of input materials Input Materials m (kg) T (K) Δh (kj/kg) Δs (kj/kg K) phy E x (MJ) Scrap Iron 20,000 303 2.32 0.008 0.37 Sponge Iron 170,000 303 3.57 0.012 3.39 Coke 2,000 303 4.33 0.014 0.07 Electrode 429 303 3.51 0.012 0.01

390 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad Table 3 Physical exergy of input materials (continued) Input Materials m (kg) T (K) Δh (kj/kg) Δs (kj/kg K) phy E x (MJ) Lime 8,000 303 4.16 0.014 0.26 Dolomite 4,000 303 4.16 0.014 0.14 Oxygen 11,377 303 4.59 0.015 13.87 Cooling Water 1,146,107 308 41.81 0.138 786.71 OVERALL 215,806.4 (without CW) 804.8 Table 4 Physical exergy of output materials Output Materials M (kg) T (K) Δh (kj/kg) Δs (kj/kg K) phy E x (MJ) Liquid Steel 164,609 1933 1,355.10 1.34 168,345.01 Steel in Slag 1,378 1933 1,355.10 1.34 1,408.96 Slag 24,788 1933 1,739.64 1.85 29,596.52 Dust 11,508 1933 1,574.11 1.72 12,100.57 Stack Gas 13,523 1933 2,321.05 2.51 17,652.07 Cooling Water 1,146,107 318 83.63 0.27 3,079.97 OVERALL 215,806.4 (without CW) 232,183.1 Table 5 Chemical exergy of input materials Ch. Component n (kmol) Standard Ch. Exergy (kj/kmol) Ch. Exergy (MJ) Scrap Iron Fe 347.68 376,400 130,752.95 C 16.65 410,260 6,831.4 Si 2.63 854,600 2,251.67 Mn 2.4 482,300 1,158.83 P 0.39 875,800 339.3 S 0.37 609,600 228.17 Cr 1.62 544,300 879.32 Ni 0.41 232,700 95.13 Mo 0.23 730,300 167.47 Cu 0.63 134,200 84.47 TOTAL 372.71 5,250,460 142,788.71 Sponge Iron Fe 2,715.88 376,400 1,022,258.91 C 264.67 410,260 108,585.18 P 22.5 875,800 19,707.9 S 18.56 609,600 11,313.54 MnO 10.3 119,400 1,230.41

Exergy and energy analysis of an AC steel electric arc furnace 391 Table 5 Chemical exergy of input materials (continued) Ch. Component n (kmol) Standard Ch. Exergy (kj/kmol) Ch. Exergy (MJ) SiO 2 108.08 7,900 853.85 Al 2 O 3 18.34 200,400 3,675.41 CaO 48.5 110,200 5,345.03 MgO 50.62 66,800 3,381.1 TOTAL 3,257.47 2,776,760 1,176,351.33 Cock C 148.2 410,260 60,799.5 SiO 2 1.33 7,900 10.52 Al 2 O 3 0.59 200,400 117.93 H 2 O 2.22 900 2 Fe 2 O 3 0.09 16,500 1.55 CaO 0.27 110,200 29.48 S 0.31 609,600 190.14 TOTAL 153.01 1,355,760 61,151.11 Electrode C 35.47 410,260 14,550.79 Si 0.02 854,600 19.58 Fe 0.01 376,400 4.34 Ca 0.02 712,400 11.44 Al 0.01 888,400 7.06 SiO 2 0.004 7,900 0.03 Al 2 O 3 0.002 200,400 0.42 Fe 2 O 3 0.001 16,500 0.02 MgO 0.01 66,800 0.36 TOTAL 35.54 3,533,660 14,593.68 Lime CaO 135.52 110,200 14,934.65 MgO 9.92 66,800 662.96 TOTAL 145.45 177,000 15,597.61 Dolomite CaO 46.36 110,200 5,109.22 MgO 34.74 66,800 2,320.37 TOTAL 81.1 177,000 7,429.59 Oxygen O 2 355.57 3,970 1,411.6 TOTAL 355.57 3,970 1,411.6 OVERALL 4,400.8 1,419,323.6

392 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad Table 6 Chemical exergy of output materials Ch. Component n (kmol) Standard Ch. Exergy (kj/kmol) Ch. Exergy (MJ) Liquid Steel Fe 2,920.91 376,400 1,099,429.56 C 11.46 410,260 4,701.59 Si 9.34 854,600 7,982.62 Mn 5.05 482,300 2,434.53 P 8.76 875,800 7,676.18 S 13.16 609,600 8,020.83 Cr 0.55 544,300 301.56 Ni 0.41 232,700 94.34 Mo 0.23 730,300 166.08 Cu 0.62 134,200 83.77 TOTAL 2,970.49 5,250,460 1,130,891.06 Steel in Slag Fe 24.45 376,400 9,201.64 C 0.1 410,260 39.35 Si 0.08 854,600 66.81 Mn 0.04 482,300 20.38 P 0.07 875,800 64.25 S 0.11 609,600 67.13 Cr 0 544,300 2.52 Ni 0 232,700 0.79 Mo 0 730,300 1.39 Cu 0.01 134,200 0.7 TOTAL 24.86 5,250,460 9,464.95 Dust Fe 2 O 3 57.58 16,500 950.08 Al 2 O 3 5.62 200,400 1,126.15 CaO 8.06 110,200 887.92 MnO 0.85 119,400 100.99 Cr 2 O 3 0.07 36,500 2.5 SiO 2 15.27 7,900 120.66 C 24.99 410,260 10,251.05 TOTAL 112.43 901,160 13,439.37 Slag CaO 216.64 110,200 23,873.5 FeO 2.84 127,000 360.98 SiO 2 87.38 7,900 690.32

Exergy and energy analysis of an AC steel electric arc furnace 393 Table 6 Chemical exergy of output materials (continued) Ch. Component n (kmol) Standard Ch. Exergy (kj/kmol) Ch. Exergy (MJ) MnO 6.77 119,400 808.55 Fe 2 O 3 0.05 16,500 0.88 Al 2 O 3 13.32 200,400 2,668.4 Cr 2 O 3 0.46 36,500 16.79 P 2 O 5 7.03 319,540 2,245.09 CaS 5.98 844,600 5,048.61 MgO 95.28 66800 6,364.79 TOTAL 435.75 1,848,840 42,077.9 Stack Gas CO 335.78 275,100 CO 2 92.67 19,870 H 2 O 2.22 9,500 TOTAL 430.67 304,470 94,233.25* OVERALL 3,974.2 1,290,106.5 Note: This value is calculating by using equation (7). Table 7 lists the energy balance of the different components in the EAF. Clearly, the electrical energy contributes the highest percentage of the input section, while liquid steel followed by heat loss contributes the highest percentages of the output section. In this table, heat loss was calculated by applying the first law (energy balance) to the energy input and output of the EAF. Table 8 lists the exergy balance of the different components in the EAF. In this table, the chemical exergy input and output are not shown; instead the difference is listed as the net chemical exergy in the input section. Table 7 Total energy balance of EAF without air infiltration Component Energy (MJ) (%) Input Scrap Iron 45.08 0.01 Sponge Iron 408.51 0.08 Coke 7.97 0.00 Electrode 1.55 0.00 Lime 31.18 0.01 Dolomite 16.46 0.00 Oxygen 52.22 0.01 Cooling Water 47,933.78 8.91 Electrical Energy 386,560.75 71.82 Net Chemical Energy 103,145.69 19.16 Total 538,204.1 100

394 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad Table 7 Total energy balance of EAF without air infiltration (continued) Component Energy (MJ) (%) Output Liquid Steel 236,588.29 43.96 Steel in Slag 1,980.12 0.37 Dust 17,998.41 3.34 Slag 43,733.15 8.13 Stack Gas 26,224.92 4.87 Cooling Water 95,867.56 17.81 Heat Lost 115,811.69 21.52 Total 538,204.1 100 Table 8 Total exergy balance of EAF without air infiltration Component Exergy (MJ) (%) Input Scrap Iron 0.37 0.00 Sponge Iron 3.39 0.00 Coke 0.07 0.00 Electrode 0.01 0.00 Lime 0.26 0.00 Dolomite 0.14 0.00 Oxygen 13.87 0.00 Cooling Water 786.81 0.15 Electrical Exergy 386,560.75 74.83 Net Chemical Exergy 129,217.10 25.01 Total 516,583.0 100 Output Liquid Steel 168,345.01 32.59 Steel in Slag 1,408.96 0.27 Dust 12,100.57 2.34 Slag 29,596.52 5.73 Stack Gas 17,652.07 3.42 Cooling Water 3,079.97 0.60 Exergy Losses 284,400.62 55.05 Total 516,583.0 100 Using data in Tables 7 and 8, the energy and exergy efficiencies of EAF without air infiltration were calculated as η=43.9% and φ=32.5%. In this case the major sources of energy losses are heat transfer to the environment and the cooling water. The energy loss by stack gas is around 4.87% of total energy

Exergy and energy analysis of an AC steel electric arc furnace 395 output and the exergy loss is around 3.42% of total exergy output which are relatively lower than other sources. The major sources of exergy destruction are chemical reactions and heat transfer. 4.2 Energy and exergy analyses of EAF with air infiltration As mentioned above, it is necessary to consider air infiltration into the EAF to obtain more realistic results. The air that infiltrates the EAF increases the heat loss through convection; therefore, more electrical energy is required to melt the iron. Furnace design data shows that the total mass flow rate of hot flue gas from the furnace is about 10.4 kg/s on average. In the case of EAF without air infiltration, mass balance of input and output materials (Tables 4 and 6) show that the mass flow rate of hot flue gas is 4.0 kg/s which represents the mass flow rate due to only combustion products. The difference between total mass flow rate of hot flue gas (10.4 kg/s) and 4.0 kg/s represents air infiltration mass flow rate which is 6.4 kg/s. Therefore, neglecting the effect of air infiltration in the analysis is not acceptable. Total mass balance of EAF with considering air infiltration is shown in Table 9. Also, Tables 10 and 11 list the total energy and exergy balances of the EAF considering the effects of air infiltration. Obviously, the electrical energy required is considerably increased. The output energy and exergy shares of hot stack gas also increase considerably to reach 18.3% and 12.2%, respectively. These values match the previous data published in the literature (Bisio, 1993). Using the data in Tables 10 and 11, the energy and exergy efficiencies of EAF with air infiltration were calculated as η=41.7% and φ=30.8%. Table 9 Total mass balance of EAF considering air infiltration Component m (kg) (%) Input Scrap Iron 20,000 7.71 Sponge Iron 170,000 65.53 Coke 2,000 0.77 Electrode 429 0.16 Lime 8,000 3.08 Dolomite 4,000 1.54 Oxygen 11,377 4.39 Input Air 43,608 16.81 Cooling Water 1,146,107 Total 259,414.4 (without CW) 100 Output Liquid Steel 164,609 63.45 Steel in Slag 1,378 0.53 Slag 24,788 9.56 Stack Gas 68,639 26.46 Cooling Water 1,146,107 Total 259,414.4 (without CW) 100

396 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad Table 10 Total energy balance of EAF considering air infiltration Component Energy (MJ) (%) Input Scrap Iron 45.08 0.01 Sponge Iron 408.51 0.07 Coke 7.97 0.00 Electrode 1.55 0.00 Lime 31.18 0.01 Dolomite 16.46 0.00 Oxygen 52.22 0.01 Input Air 220.80 0.04 Cooling Water 47,933.78 8.44 Electrical Energy 415,800.00 73.25 Net Chemical Energy 103,145.69 18.17 Total 567,663.2 100 Output Liquid Steel 236,588.29 41.68 Steel in Slag 1,980.12 0.35 Slag 43,733.15 7.70 Stack Gas 104,067.10 18.33 Cooling Water 95,867.56 16.89 Heat Lost 85,427.02 15.05 Total 567,663.2 100 Table 11 Total exergy balance of EAF considering air infiltration Component Exergy (MJ) (%) Input Scrap Iron 0.37 0.00 Sponge Iron 3.39 0.00 Coke 0.07 0.00 Electrode 0.01 0.00 Lime 0.26 0.00 Dolomite 0.14 0.00 Oxygen 13.87 0.00 Input Air 1.83 0.00 Cooling Water 786.71 0.14 Electrical Exergy 415,800.00 76.18 Net Chemical Exergy 129,217.10 23.68 Total 545,823.7 100

Exergy and energy analysis of an AC steel electric arc furnace 397 Table 11 Total exergy balance of EAF considering air infiltration (continued) Component Exergy (MJ) (%) Output Liquid Steel 168,345.01 30.84 Steel in Slag 1,408.96 0.26 Slag 29,596.52 5.42 Stack Gas 66,293.23 12.15 Cooling Water 3,079.97 0.56 Exergy Losses 277,100.06 50.77 Total 545,823.7 100 A comparison of these efficiencies with the values above shows that the energy and exergy efficiencies are reduced by air infiltration into the furnace, which thus indicates its negative effect on the system. These reduced efficiencies are due to a requirement for more electrical energy to heat the additional air that infiltrates the control volume and increases the energy waste at the exhaust duct. Figure 5 shows the effects of various air infiltration rates on the EAF efficiencies. As the mass flow rate of the air infiltration increases, the energy and exergy efficiencies of the furnace are reduced. For example, by a 50% reduction of the air infiltration, about 2.7% of electrical energy input can be saved. Air infiltration can be reduced by better sealing of the openings in the furnace. Figure 5 EAF efficiency versus infiltration air mass flow rate 4.3 Increasing the energy and exergy efficiencies of the EAF Melting iron by EAF is a highly energy-consuming process in which the temperature of sponge iron and other input materials is increased from the ambient value to 1600 C. Since electrical energy is the most expensive form of energy used in the EAF, lowering its consumption is a major concern in these industries. In the conventional EAF design, the hot stack gas passes through a series of watercooled and air-cooled ducts to reach the radiant cooler and is finally exhausted to the

398 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad atmosphere by an ID fan. The flue gas is a rich source of thermal energy, because its high mass flow rate and high temperature. This could be used for sponge iron preheating, which in turn would reduce the electrical energy consumption in the furnace. 4.3.1 Sponge iron preheating The furnace stack gas cannot be directly used to preheat the sponge iron because of particle re-oxidation. Therefore, an intermediate gas must be used in the preheating process. Nitrogen is a fine candidate for this purpose because it does not react with sponge iron particles and is a readily available by-product of other processes in steel making plants (Hajidavalloo and Alagheband, 2008). It is possible to place a heat exchanger in the exhaust duct of the furnace in which nitrogen absorb heat from the hot flue gas. The heated nitrogen would then enter the silo to preheat the sponge iron particles. Then, nitrogen could be recirculated to avoid its consumption. Figure 6 shows the schematics of the design for an actual EAF. The specification and performance of the heat exchanger are not a major concern in this paper but were discussed before (Hajidavalloo and Alagheband, 2008). Figure 6 Layout of design for preheating of sponge iron using hot flue gas 4.3.2 Effect of sponge iron preheating on energy and exergy analysis As mentioned above, to increase the energy and exergy efficiencies of the system, the heat lost through stack gas can be recovered for preheating the sponge iron particles. In order to consider the effect of the preheating scheme on the efficiencies, the control volume is extended to include the elbow and exhaust duct as well as the EAF itself. This means that the cooling water for the elbow and duct is considered in the energy and exergy calculations.

Exergy and energy analysis of an AC steel electric arc furnace 399 Figure 7 shows the percentage of electrical energy saved versus the preheating temperature. For example, by preheating the sponge iron to 793 K, electrical energy consumption of the EAF would be reduced by about 21.4% which corresponds to about 89 GJ of electrical energy saved in each working period. Figure 7 Percentage of energy recovered from EAF versus sponge iron preheating temperature Table 12 lists the total exergy balance of the EAF with the newly extended control volume and sponge iron preheating to 793 K. Considering all other variables almost constant, the electrical energy required is considerably reduced. The exergy efficiency of the EAF is increased to 36.8% from 30.8% and its energy efficiency is increased to 46.7% from 41.7%. Evidently, the preheating scheme improves the energy and exergy efficiencies considerably. Table 12 Total exergy balance for EAF with preheating sponge iron Component Exergy (MJ) (%) Input Scrap Iron 0.37 0.00 Sponge Iron 3.39 0.00 Coke 0.07 0.00 Electrode 0.01 0.00 Lime 0.26 0.00 Dolomite 0.14 0.00 Oxygen 13.87 0.00 Furnace 786.71 0.17 Cooling Water Elbow 131.12 0.03 Duct 337.16 0.07 Nitrogen 0.16 0.00 Electrical Exergy 326,717.72 71.46 Net Chemical Exergy 129,217.10 28.22 Total 457,209.9 100

400 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad Table 12 Total exergy balance for EAF with preheating sponge iron (continued) Component Exergy (MJ) (%) Output Liquid Steel 168,345.01 36.82 Steel in Slag 1,408.96 0.31 Slag 29,596.52 6.47 Stack Gas 20,523.81 4.49 Furnace 3,079.97 0.67 Cooling Water Elbow 513.33 0.11 Duct 1,319.99 0.29 Nitrogen 31.14 0.01 Exergy Losses 232,391.18 50.83 Total 457,209.9 100 Figure 8 shows the effect of sponge iron preheating on the energy and exergy efficiencies of the EAF. As the sponge iron preheating temperature increases, the energy and exergy efficiencies increase. Figure 8 Change of EAF efficiencies versus sponge iron preheating temperature Apart from the energy and exergy improvements, the major benefit of the sponge iron preheating scheme is the accelerated production rate of the furnace due to a shorter tapto-tap time which is the time between input and output materials. There are different estimations on the amount of time reduction in the melting process for a given increase in the charge temperature, because it is highly plant dependent and many local parameters should be taken into account to precisely predict the time reduction, as reported by Baily (2001). If it is assumed that tap-to-tap time reduction for every 100 C increase in charging material temperature is around 3 min., then for 500 C increase in charging temperature due to the preheating, tap-to-tap time reduction would be around 15 minutes. Since overall tap-to-tap time for each melting is around 110 min., then melting time

Exergy and energy analysis of an AC steel electric arc furnace 401 reduction would be around 13.6%, which means steel production may be increased around 13.6%. The production rate would be further increased if inlet gas temperature were increased. 5 Conclusions Energy and exergy analyses were performed to evaluate the performance of an electric arc furnace. Energy and exergy shares of different input and output materials in the steelmaking process of the EAF were specified. It was found that combustion and heat transfer are two major sources of irreversibility in the EAF. Considering air infiltration into the EAF has a significance effect on the calculated energy and exergy efficiencies. The infiltration considerably reduces both the energy and the exergy efficiency. The study has shown that vast amounts of energy and exergy are wasted in the EAF industry which can be recovered by the application of a preheating scheme. The output hot flue gas contains 18.3% and 12.2% of the total energy and exergy inputs, respectively. Preheating the sponge iron particles by using waste heat from flue gas could decrease energy consumption and increase productivity. By adopting the preheating scheme, the energy and exergy efficiencies could increase by 5.0% and 6.0%, respectively. References Baily, R. (2001) Benefits of Hot DRI Charge to the EAF, Direct from Midrex, 2Q, pp.7 8. Bejan, A., Tsatsaronis, G. and Moran, M.J. (1996) Thermal Design and Optimization, Wiley, New York. Bisio, G. (1993) Exergy method for efficient energy resource use in the steel industry, Energy, Vol. 18, pp. 971 978. Bisio, G., Rubatto, G. and Martini, R. (2000) Heat transfer, energy saving and pollution control in UHP electric-arc furnaces, Energy, Vol. 25, pp.1047 1066. Camdali, U. and Tunc, M. (2003) Exergy analysis and efficiency in an industrial AC electric ARC furnace, Applied Thermal Engineering, Vol. 23, pp.2255 2267. Camdali, U. and Tunc, M. (2005) Computation of chemical exergy potential in an industrial AC electric ARC furnace, Energy Resources Technology, Vol. 127, pp.66 70. Camdali, U., Tunc, M. and Karakas, A. (2003) Second law analysis of thermodynamics in the electric arc furnace at a steel producing company, Energy Conversion Management, Vol. 44, pp.961 973. Cengel, Y.A. and Boles, M.A. (1994) Thermodynamics: An Engineering Approach, 3rd ed., McGraw-Hill, New York. Coskun, C., Oktay, Z. and Ilten, N. (2009) A new approach for simplifying the calculation of flue gas specific heat and specific exergy value depending on fuel composition, Energy, Vol. 34, pp.1898 1902. Dincer, I. (2002) The role of exergy in energy policy making, Energy Policy, Vol. 30, pp.137 149. Dincer, I. and Rosen, M. (2007) Exergy, Energy, Environment and Sustainable Development, Elsevier, London. Fruehan, R.J., Fortini, O., Paxton, H.W. and Brindle, R. (2000) Theoretical Minimum Energies to Produce Steel for Selected Conditions, Report for U.S. Department of Energy, Office of Industrial Technologies, Carnegie Mellon University, Pittsburgh.

402 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad Hajidavalloo, E. and Alagheband, A. (2008) Thermal analysis of sponge iron preheating using waste energy of EAF, Materials Process Technology, Vol. 208, pp.336 341. Kirschen, M., Risonarta, V. and Pfeifer, H. (2009) Energy efficiency and the influence of gas burners to the energy related carbon dioxide emissions of electric arc furnaces in steel industry, Energy, Vol. 34, pp.1065 1072. Kotas, T.J. (1985) The Exergy Method of Thermal Plant Analysis, Butterworths, London. Kubaschewski, O., Evans, E.L. and Alcock, A.B. (1989) Metallurgical Thermo-chemistry, Pergamon Press, Oxford. Moran, M.J. and Shapiro, H.N. (2000) Fundamentals of Engineering Thermodynamics, 5th ed., Wiley, New York. Moran, M.J. and Sciubba, E. (1994) Exergy analysis: principles and practice, Engineering for Gas Turbines and Power, Vol. 116, pp.285 302. Ostrovski, O. and Zhang, G. (2005) Energy and exergy analyses of direct irons melting processes, Energy, Vol. 30, pp.2772 2783. Raja, B.V.R., Pal, N., Talwar, P.L. and Jayaswal, N.P. (2000) Technologies for cost reduction in EAFs, Steelworld, pp.1 4. Rosen, M.A. (1999) Second-law analysis: approaches and implications, Energy Research, Vol. 23, pp.415 429. Rosen, M.A. and Lee, D.L. (2009) Exergy-based analysis and efficiency evaluation for an aluminum melting furnace in a die-casting plant, Fourth IASME/WSEAS, International Conference on Energy and Environment Cambridge, England.

Exergy and energy analysis of an AC steel electric arc furnace 403 Nomenclature C P I constant pressure specific heat (kj/kg-k) specific energy (kj/kg) Ex specific flow exergy (kj/kg) Ex exergy (MJ) g E gravitational acceleration (m/s 2 ) h specific enthalpy (kj/kg) m Mass (kg) n mole numbers (kmole) P pressure Q, q heat (MJ), specific heat (kj/kg) n molar ratio S entropy (kj/kg-k) T temperature (K) V flow rate (m/s) W,w work (MJ), specific work (kj/kg) Y molar ratio of the gas constituent parts Z height of flow (m) η first law efficiency φ exergy efficiency Subscripts act actual ch chemical ck coke cw cooling water dlm dolomite dst dust elk electrode I for component i in input lim lime

404 E. Hajidavalloo, H. Dashti and M. Behbahani-Nejad loss loss ls liquid steel out output oxy oxygen phy physical pot potential rev reversible scr scrap iron sg stack gas sl slag sp sponge iron st-sl steel in slag 0 property at environmental conditions Superscripts ch chemical I irreversibility kin kinetic phy physical pot potential tm thermo-mechanical