By-production of electricity and particulates: efficiency of Indian thermal power plants revisited

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Debarun Sengupta ◽  
Deep Mukherjee
Keyword(s):  
Regression Analysis ◽  
Power Plants ◽  
Thermal Power ◽  
Capacity Utilization ◽  
Thermal Power Plants ◽  
State Governments ◽  
Content Type ◽  
Indian Coal ◽  
Second Stage ◽  
Using Data

Purpose This paper studies the efficiency of Indian coal-fired thermal power plants (CTPPs) in by-production of electricity and particulates also known as Suspended Particulate Matter (SPM). Design/methodology/approach A non-radial directional distance function is optimized using data envelopment analysis to enumerate the overall inefficiency of CTPPs and its components in recent times. Further, second-stage regression analysis is conducted to identify factors that affect the inefficiency of plants. Findings The low inefficiency score for electricity generation suggests that most CTPPs operate close to the good output frontier. A high degree of emissions inefficiency is a challenge for Indian CTPPs. Ever-rising coal use inefficiency is a hindrance to control SPM emissions. The second stage regression analysis concludes that factors like ownership and capacity utilization play vital roles in determining a plant’s inefficiency level. Privately owned CTPPs have performed better in terms of technical inefficiency and emission inefficiency than plants owned by Central and State governments. Originality/value To the best of the authors’ knowledge, this study is one of the few published works that benchmark the productive and environmental performance of Indian CTPPs.

Measuring output-based technical efficiency of Indian coal-based thermal power plants

2019 ◽  
Vol 13 (1) ◽  
pp. 175-206 ◽  
Author(s):  
Sushama Murty ◽  
Resham Nagpal
Keyword(s):  
Technical Efficiency ◽  
Power Plants ◽  
Thermal Power ◽  
Efficiency Index ◽  
Productive Efficiency ◽  
Environmental Efficiency ◽  
Content Type ◽  
Indian Coal ◽  
First Time ◽  
Production Approach

Purpose The purpose of this paper is to measure technical efficiency of Indian thermal power sector employing the recent by-production approach. Design/methodology/approach The by-production approach is used in conjunction with data from the Central Electricity Authority (CEA) of India to compute the output-based Färe, Grosskopf, Lovell (FGL) efficiency index and its decomposition into productive and environmental efficiency indexes for the ITPPs Findings The authors show that given the aggregated nature of data on coal reported by CEA, CEA’s computation of CO2 emissions through a deterministic linear formula that does not distinguish between different coal types and the tiny share of oil in coal-based power plants, the computed output-based environmental efficiency indexes are no longer informative. Meaningful measurement of environmental efficiency using CEA data is possible only along the dimension of the coal input. Productive efficiency is positively associated with the engineering concept of thermodynamic/energy efficiency and is also high for power plants with high operating availabilities reflecting better management and O&M practices. Both these factors are high for private and centrally owned as opposed to state-owned power-generating companies. The example of Sipat demonstrates the importance of (ultra)supercritical technologies in increasing productive and thermodynamic efficiencies of the ITPPs, while also reducing CO2 emitted per unit of the net electricity generated. Originality/value This paper uses the by-production approach for the first time to measure technical efficiency of ITPPs and highlights how the nature of the Indian data impacts on efficiency measurement.

Cyclone as a precleaner to ESP ‐ a need for Indian coal based thermal power plants

2003 ◽  
Vol 24 (11) ◽  
pp. 1425-1430 ◽  
Author(s):  
K. V. George ◽  
S. Manjunath ◽  
C. V. Chalapati Rao ◽  
A. M. Bopche
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Indian Coal

Multi criteria FMECA for coal-fired thermal power plants using COPRAS-G

2014 ◽  
Vol 31 (5) ◽  
pp. 601-614 ◽  
Author(s):  
Debasis Das Adhikary ◽  
Goutam Kumar Bose ◽  
Dipankar Bose ◽  
Souren Mitra
Keyword(s):  
Failure Mode ◽  
Power Plants ◽  
Failure Modes ◽  
Thermal Power ◽  
Uncertain Data ◽  
Estimation Method ◽  
Straight Tube ◽  
Thermal Power Plants ◽  
Content Type ◽  
Criticality Analysis

Purpose – The purpose of this paper is to present a multi criterion failure mode effect and criticality analysis for coal-fired thermal power plants using uncertain data as well as substituting the traditional risk priority number estimation method. Design/methodology/approach – Grey-complex proportional assessment (COPRAS-G) method, a multi criteria decision making tool is applied to evaluate the criticalities of the failure modes (alternatives). In this model the criteria (criticality factor) against each alternative are expressed in grey number instead of crisp values. Findings – Rupture failure of the straight tube of economizer (ECO) due to erosion is the highest critical failure mode whereas rupture failure of the stub of ECO due to welding defect is the lowest critical failure mode. Originality/value – This paper incorporates human and environmental factors as additional factors which also influence the failure modes significantly. The COPRAS-G method is modified according this problem. Uncertainty in the scoring of criticality factors against each failure mode by various maintenance personnel is expressed in grey numbers.

Electricity sector’s contribution to greenhouse gas concentration in Nigeria

2017 ◽  
Vol 28 (6) ◽  
pp. 917-929 ◽  
Author(s):  
Stephen Ayodele Odewale ◽  
Jacob Ademola Sonibare ◽  
Lukuman Adekilekun Jimoda
Keyword(s):  
Greenhouse Gas ◽  
Power Plants ◽  
Greenhouse Gas Emission ◽  
Thermal Power ◽  
Electricity Sector ◽  
Thermal Power Plants ◽  
Content Type ◽  
Emission Level ◽  
Proactive Measures ◽  
Under Construction

Purpose Recent developments in the electricity generation sector of Nigeria necessitated the re-assessment of its contribution to air emission level in the country as information provided by previous inventory is nearly out-of-date. The purpose of this paper is to quantify the carbon dioxide (CO2) emissions generated from existing thermal power plants in the country. Design/methodology/approach Thermal power plants in Nigeria and their installed capacities were identified, and estimation of CO2 emission from each of the plants was carried out using the emission factor method. In addition to the direct emissions generated through the combustion operation of the power plants, indirect emissions resulting from upstream activities such as extraction, production, and transportation of fuels consumed by the thermal power plant was determined using the same method. Findings In total, 40 thermal power plants are currently operational in Nigeria. Additional 18 thermal plants are at different stages of completion. The operational thermal plants have average generation output of 40 percent of their installed capacity and produce 87.3 million metric tonne (mmt)/annum CO2 emissions. In total, 66.9 percent of the estimated emissions are direct emissions, i.e. fuel combustion emissions; the rest are indirect emissions. Additional 67.9 mmt was estimated as expected overall emissions from the thermal power plants under construction. Considering the global warming potential of CO2, proactive measures must be taken to regulate its emissions from the country’s thermal power plants. Originality/value This paper bridged the information gap existing in the emission inventory from the Nigeria electricity sector by providing up-to-date data on the contribution of the sector to greenhouse gas emission level in the country.

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