Spray Combustion Characteristics and Soot Emission Reduction of Hydrous Ethanol Diesel Emulsion Fuel Using Color-Ratio Pyrometry

A method to predict electric vehicles' market penetration as well as its impact on energy saving and CO2 mitigation

INTRODUCTION

Although forecasting electric vehicles' growth in China was frequently reported in the literature, predicting electric vehicles market penetration as well as corresponding energy saving and carbon dioxide mitigation potential in a more suitable method is not well understood.

METHODS

This study chose the double species model to predict electric vehicles' growth trajectory under mutually competitive conditions between electric vehicles and internal combustion engine vehicles. For comparison, it set two scenarios: with 200 and 300 vehicles per thousand persons at 2050. To give details on energy saving and carbon dioxide mitigation potential induced by electric vehicles' market penetration, it further divided electric vehicles into five subgroups and internal combustion engine vehicles into seven subgroups, therein forming respective measurement formulas.

RESULTS

This paper solved the double species model and thus got its analytical formula. Then it employed the analytical formula to conduct an empirical study on electric vehicles market penetration in China from year 2010 to 2050. Under scenario 300, electric vehicles growth trajectory will emerge a quick growth stage during 2021-2035, thereafter keeping near invariant till 2050. Meanwhile, current internal combustion engine vehicles' quick growth will continue up to 2027, then holding constant during 2028-2040, afterwards following a 10-year slowdown period. Scenario 200 has similar features, but a 2-year delay for electric vehicles and a 5-year lead time for internal combustion engine vehicles were found. On average, scenario 300 will save 114.4 Mt oil and 111.5 Mt carbon dioxide emissions, and scenario 200 will save 77.1 Mt oil and 73.4 Mt carbon dioxide emissions each year. Beyond 2032, annual 50.0% of road transport consumed oil and 18.6% of carbon dioxide emissions from this sector will be saved under scenario 300.

DISCUSSION

Compared with scenario 200, scenario 300 was more suitable to predict electric vehicle market penetration in China. In the short-term electric vehicle penetration only brings about trivial effects, while in the long-term it will contribute a lot to both energy security and carbon dioxide mitigation. The contribution of this article provided a more suitable methodology for predicting electric vehicle market penetration, simulated two coupled trajectories of electric vehicles and internal combustion engine vehicles, and discussed relative energy-saving and climate effects from 2010 to 2050.

Investigation of sooting flames by color-ratio pyrometry with a consumer-grade DSLR camera

The accurate measurement of temperature in sooty flames remains a challenging task. In this study, the procedure for calibration and use of a consumer-grade digital single-lens reflex (DSLR) camera for the measurement of temperature in sooty flames using color-ratio pyrometry (CRP) is elucidated. Owing to the necessity of acquiring RAW images for CRP, investigations conducted thus far have been limited to stable flames. In this work, the potential of a CANON EOS 550D DSLR camera for measuring temperature during a transient process such as a droplet combustion event at frame rates up to 50 fps is demonstrated. The spectral response curves of the camera-lens system were obtained with the help of a tunable laser source and a laser power meter, which were subsequently used to generate lookup tables for blackbody as well as soot radiation. Soot radiation was assumed to vary with wavelength (λ) as λ^-α, where α is the soot dispersion exponent. The blackbody lookup table was validated against blackbody calibration data from 1023 to 1773 K. Experiments were conducted on a candle flame as well as a McKenna flat flame burner with ethylene-air mixtures of equivalence ratios 2.1 and 2.3. For estimating temperatures using CRP, soot particles were classified as nascent and mature soot with soot dispersion exponent (α) values of 4 and 1.38, respectively. The CRP results were found to yield a decent match with thermocouple measurements as well as data reported in the literature.

Flash Smelting Copper Concentrates Spectral Emission Measurements

In this paper, we report on spectral features emitted by a reaction shaft occurring in flash smelting of copper concentrates containing sulfide copper minerals such as chalcopyrite (CuFeS₂), bornite (Cu₅FeS₄) and pyrite (FeS₂). Different combustion conditions are addressed, such as sulfur-copper ratio and oxygen excess. Temperature and spectral emissivity features are estimated for each case by using the two wavelength method and radiometric models. The most relevant results have shown an increasing intensity behavior for higher sulfur-copper ratios and oxygen contents, where emissivity is almost constant along the visible spectrum range for all cases, which validates the gray body assumption. CuO and FeO emission line features along the visible spectrum appear to be a sensing alternative for describing the combustion reactions.