Plant specific energy efficiency modeling and analysis of the Indian Cement Industry for robust policy implementation

Krishnan, S. S.; Ramakrishnan, Anjali; Venkatesh, V.; Sunder, P. Shyam; Ramakrishna, G.

doi:10.1109/citcon.2012.6215696

Cited by 4 publications

(3 citation statements)

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“…Globally, liquid and solid fuels accounted for 76.3 percent of the emissions from fossil fuel burning and cement production in 2007. Emissions from cement production have more than doubled since the mid-1970s and now represent 4.5 percent of global CO 2 releases from fossil-fuel burning and cement production (Krishnan et al , 2012). Gas flaring, which accounted for roughly 2 percent of global emissions during the 1970s, now accounts for less than 1 percent of global fossil-fuel releases.…”

Section: Global Carbon Dioxide Emissions From Cement Makingmentioning

confidence: 99%

A systematic literature review on green manufacturing concepts in cement industries

Shrivastava

2017

IJQRM

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Purpose The purpose of this paper is to survey the technical performance of the cement industry including those related to procedures; groundwork of raw materials, fuels and semi-finished products for processing; accessibility of machinery, plant and equipment for various operations; arrangement and process control management. Design/methodology/approach A broad range of survey and research was reviewed, and all revealed the methods to recognize the key influences for development of green technology. The study explores the present scenario of green manufacturing (GM) strategies of Indian cement companies and provides the industrial ecology, ways of reducing energy consumption, environmental impact data collection, design and control of manufacturing systems and integration of product and manufacturing system. It also reveals the problems in decision-making systems owing to the impact of the green product design. Here, in this paper, all information is obtained by the medium of internet, journals, articles, and magazines. Findings This paper describes a problem of global warming, gas, water and other wastages emissions at the time of cement manufacturing and put forward a path that enables decision makers to assess the perception of GM in their organization and in prioritizing GM efforts. Originality/value This perspective survey is to provide an integrative outlook of performance methods for GM practices in the Indian cement industries. It gives important information, which expectantly will help in cement industry to adopt GM practices. This paper fills the gap in the literature on identification, establishment, and validation of performance measures of GM for Indian cement industries.

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Section: Global Carbon Dioxide Emissions From Cement Makingmentioning

confidence: 99%

A systematic literature review on green manufacturing concepts in cement industries

Shrivastava

2017

IJQRM

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“…There is a huge potential in improving energy efficiency in the Iron and Steel Industry irrespective of limitations in the availability and quality of iron ore and coking coal. As compared to globally BAT benchmark of 16.4 gigajoules per ton crude steel (GJ/tcs), energy consumption in major steel plants in India was 27.3 GJ/tcs in 2009 (Krishnan et al , 2012). Cooking and non-cooking coal is the major energy input.…”

Section: Current Scenario Of Iron and Steel Industry In Indiamentioning

confidence: 99%

Benchmarking energy use of iron and steel industry: a data envelopment analysis

Haider

Mishra

2019

BIJ

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Purpose The purpose of this paper is to benchmark the energy use of Indian iron and steel industry. For this purpose, the authors have estimated a production frontier to know the best performing states. Further, the energy-saving targets are estimated to lie below the benchmark level for those states. Panel data for this purpose are extracted from the Annual Survey of Industry (an official database from the government of India) for 19 major steel-producing states over the period from 2004–2005 to 2013–2014. Design/methodology/approach The authors employed a radial and non-radial (slack-based measure) variant of the data envelopment analysis (DEA) to estimate the production frontier. Particularly, slack-based measures (SBMs) developed by Tone (2001) are used to get a more comprehensive measure of energy efficiency along with technical efficiency. Variable returns to scale technology is specified to accommodate market imperfection and heterogeneity across states. Four inputs (capital, labour, energy and material) and a single output are conceptualised for the production process to accommodate input substitution. The relative position of each state in terms of the level of energy efficiency is then identified. Findings The authors started by examining energy-output ratio. The average level of energy intensity shows declining trends over the period of time. States like Bihar, Jharkhand, Gujarat and Uttarakhand remain stagnant in the energy intensity level. SBM of energy efficiency shows an overall average energy saving potential of 8 per cent without reducing average output level. Considerable heterogeneity exists among states in terms of the energy efficiency scores. Further, the authors calculated scale efficiency (SE) which shows the overall average level of SE is 0.91; hence, the scale of operation is not optimal and needs to adjusted to enhance energy efficiency. Originality/value The authors demonstrate the empirical application of DEA with SBM to energy use performance. This is the first study that benchmarks Indian states in terms of the consumption of energy input to produce iron and steel by applying DEA.

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“…Significant energy efficiency improvements in Colombian cement production company has been achieved through the energy management system based on the energy cost centers (ECC) methodology [7]. According to [8], significant energy savings can be achieved with the use of Perform-Achieve-Trade mechanism and putting cement industry into a larger environmental picture at the national level. The various options for reducing CO 2 emissions in cement industry are presented in [9].…”

Section: Introductionmentioning

confidence: 99%

Net fitting based production planning and decision support system for energy intensive industries

Pušnik

Sučić

Podgornik

et al. 2014

2014 IEEE International Energy Conference (ENERGYCON)

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In recent years significant research efforts have been related with the energy efficiency in energy intensive industries. It is promising that EU has already demonstrated how much can be done in reducing the energy intensity of manufacturing processes through energy efficiency and sustainable production processes. The overall objective of any energy efficiency related program or project in industry is reduction of costs, energy consumption, environmental impacts and raw material use. The research work presented in this paper is related to long term production planning and decision support system based on the artificial neural network net fitting model. To tackle these challenges a system for simulation and analysis of future situations relevant for production planning in energy intensive industries has been developed. It enables optimal response on excessive energy consumption and costs in relation to fuel changes and environmental impacts. The results presented in this paper confirm that the addressed system has the potential to be applied in energy intensive industries, taking into account plant specific input parameters and context variables.

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Plant specific energy efficiency modeling and analysis of the Indian Cement Industry for robust policy implementation

Cited by 4 publications

References 0 publications

A systematic literature review on green manufacturing concepts in cement industries

A systematic literature review on green manufacturing concepts in cement industries

Benchmarking energy use of iron and steel industry: a data envelopment analysis

Net fitting based production planning and decision support system for energy intensive industries

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