Productivity change of coal-fired thermal power plants in India: a Malmquist index approach

Behera, Subrat Keshori; Farooquie, Jamal A.; Dash, Ambika P

doi:10.1093/imaman/dpr013

Cited by 19 publications

(14 citation statements)

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“…In India the majority of power plants use coal as fuel. The power plants located in eastern regions have seen maximum annual growth of 2.2 % during the period 2003-2008(Behera et al, 2011. Thus expansion of power plants clustered in this region during the last few years might have contributed to the strongly increasing observed trend.…”

Section: Trends In Co 2 Total Fluxesmentioning

confidence: 94%

“…Power plants, most notably coal-fired ones, are among the largest CO 2 emitters (DoE and EPA, 2000). Coal-based power plants in India account for about 53 % of installed capacity and contribute to more than 60 % of electricity generation (Behera et al, 2011). Coal is the mainstay of the Indian energy sector and contributes almost 73 % of total CO 2 emissions (Garg et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

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Atmospheric CO<sub>2</sub> source and sink patterns over the Indian region

Kumar

Pozzoli

2016

Ann. Geophys.

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Abstract. In this paper we examine CO 2 emission hot spots and sink regions over India as identified from global model simulations during the period 2000-2009. CO 2 emission hot spots overlap with locations of densely clustered thermal power plants, coal mines and other industrial and urban centres; CO 2 sink regions coincide with the locations of dense forest. Fossil fuel CO 2 emissions are compared with two bottom-up inventories: the Regional Emission inventories in ASia (REAS v1.11;2000 and the Emission Database for Global Atmospheric Research (EDGAR v4.2) (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009). Estimated fossil fuel emissions over the hot spot region are ∼ 500-950 gC m −2 yr −1 as obtained from the global model simulation, EDGAR v4.2 and REAS v1.11 emission inventory. Simulated total fluxes show increasing trends, from 1.39 ± 1.01 % yr −1 (19.8 ± 1.9 TgC yr −1 ) to 6.7 ± 0.54 % yr −1 (97 ± 12 TgC yr −1 ) over the hot spot regions and decreasing trends of −0.95 ± 1.51 % yr −1 (−1 ± 2 TgC yr −1 ) to −5.7 ± 2.89 % yr −1 (−2.3 ± 2 TgC yr −1 ) over the sink regions. Model-simulated terrestrial ecosystem fluxes show decreasing trends (increasing CO 2 uptake) over the sink regions. Decreasing trends in terrestrial ecosystem fluxes imply that forest cover is increasing, which is consistent with India State of Forest Report (2009). Fossil fuel emissions show statistically significant increasing trends in all the data sets considered in this study. Estimated trend in simulated total fluxes over the Indian region is ∼ 4.72 ± 2.25 % yr −1 (25.6 TgC yr −1 ) which is slightly higher than global growth rate ∼ 3.1 % yr −1 during 2000-2010.

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Section: Trends In Co 2 Total Fluxesmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Atmospheric CO<sub>2</sub> source and sink patterns over the Indian region

Kumar

Pozzoli

2016

Ann. Geophys.

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“…However, we have reviewed certain studies dealing with the performance efficiency of the power generation industry. Behera, Dash, and Farooquie (2010) applied the DEA approach with a primary objective to estimate excess consumption of inputs while maintaining the same level of output for India's 74 coal-fired power plants over a period of 5 years (from 2003-2004 to 2007-2008). Based on selected variables (five inputs: capacity, planned maintenance, forced outages, special coal consumption and auxiliary power consumption; and one output: generation), technical efficiency of around 51 per cent of units lies below the average technical efficiency, that is, 83.2 per cent, which means that there is the scope for improving technical efficiency by reducing the input's consumption to the desired level as suggested by an inputoriented variable return to scale model.…”

Section: Literature Reviewmentioning

confidence: 99%

Productivity Analysis of Coal-fired Thermal Power Plants in India Using Malmquist Index Approach

Dhillon

Vachharajani

2019

Global Business Review

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The sustainable socio-economic growth of any country depends on the availability of adequate and reliable power at reasonable rates. This is even true in case of a rapidly developing country like India where coal-based power plants account for the majority of electricity generation. Making use of data envelopment analysis (DEA) and Malmquist productivity index (MPI), this study analyses the productivity change of coal-fired power plants during 2002–2012. Productivity change is further decomposed into technical efficiency change (EFFCH), technological change (TECHCH), scale efficiency change (SECH), pure technical change (PECH) and total factor productivity change (TFPCH). The study revealed that 0.70 per cent of average annual total factor productivity (TFP) growth was witnessed from 2002–2003 to 2011–2012 indicating overall progress. The contribution of TECHCH in TFP growth is positive, that is, 1.3 per cent per annum. It demonstrates that expansion of the efficient frontier. However, there was a decrease in technical EFFCH of −0.6 per cent per year, indicating the adverse sign of progress. Plants in the central sector achieved maximum growth of 4.6 per cent annually. A total of 54.05 per cent of plants have recorded negative TFP growth. Power plants between 500 and 999 MW achieved the highest operational performances in all indices except SECH.

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“…According to [1], the thermal generation is inevitably diminishing with the integration of variable electrical power generations like solar electrical power generation and wind electrical power generation in the electrical power system. According to [2], environmental concerns due to the emission of hazardous gas is also putting the thermal power generation under a severe pressure but still a large amount of electrical power generation of Pakistan relies on fossil fuels, accounting more than 60 percent of the total electrical power generation [3].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Heat Flow Study of a Thermal Power Plant Using OpenModelica

2020

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With the integration of intermittent energy sources in the power system, the main focus of thermal power plant design is to optimize the conventional system by improving efficiency and flexibility of power generation in the start-up and base-load procedures. This paper focuses on the behavior of thermal power generation with respect to load variations, fuel variations, weather conditions and internal dynamics of the system to aid in energy planning and the optimization of power system. Dynamic modeling and subsequent simulation is to make improvements. Therefore, to model the system, this research study has used a dynamic modeling and a simulation framework (OpenModelica based on modelica language) which is an object-oriented and equation-based language. This framework allows a non-causal modeling and a flexible reuse of the models since data-flow direction is not predefined like other state of the art simulating tools i.e. MATLAB. The proposed model analyses the trend of electrical power generation of KOT ADDU thermal power plant to predict the future demand of electrical power. The achieved results show more than 90% accuracy of the proposed model in the transient operation such as start-up and base load procedure. INDEX TERMS thermal power plant simulation, dynamic modeling, OpenModelica, optimization of thermal plant

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Productivity change of coal-fired thermal power plants in India: a Malmquist index approach

Cited by 19 publications

References 0 publications

Atmospheric CO<sub>2</sub> source and sink patterns over the Indian region

Atmospheric CO<sub>2</sub> source and sink patterns over the Indian region

Productivity Analysis of Coal-fired Thermal Power Plants in India Using Malmquist Index Approach

Dynamic Modeling and Heat Flow Study of a Thermal Power Plant Using OpenModelica

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Productivity change of coal-fired thermal power plants in India: a Malmquist index approach

Cited by 19 publications

References 0 publications

Atmospheric CO&lt;sub&gt;2&lt;/sub&gt; source and sink patterns over the Indian region

Atmospheric CO&lt;sub&gt;2&lt;/sub&gt; source and sink patterns over the Indian region

Productivity Analysis of Coal-fired Thermal Power Plants in India Using Malmquist Index Approach

Dynamic Modeling and Heat Flow Study of a Thermal Power Plant Using OpenModelica

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Product

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Atmospheric CO<sub>2</sub> source and sink patterns over the Indian region

Atmospheric CO<sub>2</sub> source and sink patterns over the Indian region