15 research outputs found
Fuel additive technology - NOx reduction, combustion efficiency and fly ash improvement for coal fired power stations
Fuel additive technology is based on the use of a solid, fuel additive (iron, aluminium, calcium and silicon based oxides), to reduce NOx emission, improve the quality of fly ash and result in 1-3% coal savings for pulverised coal combustion. The findings in this study have been mainly based on extensive experimentation on 100 kWth down fired-combustion test facility (CTF) and partially on a commercial 260 tons/h steam producing water tube pf boiler. International Innovative Technologies (IIT) developed this additive based technology for the combined effect of reducing NOx from the combustion of hydrocarbon fuels (mainly coal) and more specifically to improve the combustion process of fossil fuels resulting in an ash by product with improved loss on ignition and lower carbon content. The improvement in the combustion thermal efficiency of the commercial 260 tons/h steam producing boiler has been calculated as per the direct calculation method of EN BS12952-15:2003 standard. © 2014 Elsevier Ltd. All rights reserved
Occurrence and feeding habit of the settled larval and juvenile spotted halibut Verasper variegatus at sandy beaches on the western coast of Kyushu, Japan
Infection dynamics of Neoheterobothrium hirame (Monogenea) on juvenile olive flounder, Paralichthys olivaceus (Temminck & Schlegel), in coastal waters of Japan
Temperature effects on larval development and occurrence of metamorphosis-related morphological abnormalities in hatchery-reared spotted halibut Verasper variegatus juveniles
Recommended from our members
Study of the KL→π0νν¯ Decay at the J-PARC KOTO Experiment
The rare decay K_{L}→π^{0}νν[over ¯] was studied with the dataset taken at the J-PARC KOTO experiment in 2016, 2017, and 2018. With a single event sensitivity of (7.20±0.05_{stat}±0.66_{syst})×10^{-10}, three candidate events were observed in the signal region. After unveiling them, contaminations from K^{±} and scattered K_{L} decays were studied, and the total number of background events was estimated to be 1.22±0.26. We conclude that the number of observed events is statistically consistent with the background expectation. For this dataset, we set an upper limit of 4.9×10^{-9} on the branching fraction of K_{L}→π^{0}νν[over ¯] at the 90% confidence level