Evaluation of NOx, SOx and CO2 Emissions of Taiwan’s Thermal Power Plants by Data Envelopment Analysis

Abstract

An integrated environmental and operational evaluation model is constructed by data envelopment analysis (DEA) to examine seven thermal power plants operating in Taiwan during [2001][2002][2003][2004][2005][2006][2007][2008]. Inputs and desirable outputs along with undesirable outputs, including CO 2 , SO x , and NO x emissions, were simulated. A slack variable analysis was conducted to identify possible ways to improve the inefficient power plants. In addition, three models were compared to identify the actual magnitude of inefficiency. The results indicate that the integrated efficiency and production scale of some plants were inefficient during [2001][2002][2003][2004][2005][2006][2007][2008]. Reductions in fuel consumption and CO 2 emissions are identified as the major strategies to improve efficiency. Other options include modifying pre-existing management measures, installing pollution prevention controls and resizing the scale of the power plant. It is anticipated that the findings of this study will help policymakers to achieve better environmental and operational performance with regard to existing thermal power plants.

Isolation and characterization of Chlorella sp. mutants with enhanced thermo- and CO2 tolerances for CO2 sequestration and utilization of flue gases

“…The flue gases of thermal power plants in Taiwan have shown high CO 2 , NOx, and SOx emissions [27]. The current study showed that the high concentrations of CO 2 , NO and SO 2 present in the flue gases had negative effects on the growth and CO 2 sequestration processes of C. vulgaris ESP-31 wild type (net photosynthetic O 2 evolution rate).…”

Evaluation of NOx, SO2, CO and total greenhouse gases, emissions for thermal power plant units using natural gas and heavy fuel oil

“…The emissions from power generation not only affect Local air quality but also transport over long distance and cause regional/global environmental issues (Huang et al, 2016). Studies related to emission measurement and estimations from thermal power plants conducted by different researchers (Mittal and Sharma, 2003b;Gurjar et al, 2004;Blottnitz, 2006;Nazari et al, 2010, Tsilingiridis et al, 2011Liu et al, 2013, Huang et al, 2016 have confirmed the pollution potential of the measured gases particularly with respect to the increasing trend in temperature or in other words global warming and therein lies the importance of carrying out this project work to determine the amount of emissions of these gases particularly for a very fast developing economy like.…”

Urban energy environment efficiency in China: Based on dynamic meta-frontier slack-based measures

“…Many studies have used dynamic data envelopment analysis (DEA) models to analyze the energy and environmental efficiencies in different countries (Zofio and Prieto 2001;Ramanathan 2005;Kumar 2006; Gomes and Lins 2007;Zhou, Poh, and Ang 2007;Li and Wang 2014;Liu and Wang 2014;Robaina-Alves, Moutinho, and Macedo 2015;Gómez-Calvet et al 2016) and different enterprises. For example, Pacudan and de Guzman (2002) evaluated the energy efficiency of 15 power companies in the Philippines, Vaninsky (2008) examined the environmental efficiency of U.S. power companies during 1990-2006, Lin, Liu, and Lewis (2012) assessed the CO 2 emissions impact of the electricity sector, and Liu, Lin, and Lewis (2013) evaluated the NO X , SO X , and CO 2 emissions in Taiwan's thermal power plants.…”