Assessment of the Impact of Energy Transformation Accompanying Decarbonization on 2050 Air Quality

Yusuke YASUKAWA･Hiroyuki YAMADA (Tokyo Denki University)･Yoshiaki YAMADAYA (Ibaraki University)･Tazuko MORIKAWA･Masamitsu HAYASAKI (JARI)･Kotaro TANAKA (Ibaraki University)･Shinichiro OKAYAMA (Motolity)･Yoshiaki SHIBATA (Institute of Integrated Atmospheric Environment)･Hiroe WATANABE (Nissan Motor)･Toru KIDOKORO (Toyota Motor)

Based on the Ministry of the Environment's “2023 Progress Report on Global Warming Countermeasures,” revisions were made to emissions of various pollutants from stationary sources under the Seventh Energy Basic Plan previously formulated. Using these results, we estimated the impact of pollutants from automobiles on air quality once a carbon-neutral society is achieved and conducted atmospheric simulations for that scenario.

Challenges and Solutions for High-Accuracy Exhaust Gas Measurement in Carbon-Neutral Fuel Applications

Yosuke Kondo･Yuichi Mori (HORIBA)

Research and development aimed at applying carbon-neutral (CN) fuels to mobility systems has been increasingly active. In general, the combustion of CN fuels produces higher water vapor concentrations in the exhaust gas compared with conventional fossil fuels, thereby imposing additional technical requirements on exhaust gas measurement systems. This paper discusses methodologies for achieving high-accuracy exhaust gas measurements, with particular emphasis on CN fuels and upcoming emission regulations.

Soot Emission Characteristics of Three-Component Gasoline Surrogate/Ethanol Blended Fuels

Jun Hashimoto (Oita University)･Kazumasa Ito (Graduate School of Engineering, Oita University)･Shunya Matsumae (Graduate School of Science and Technology, Oita University)

Ethanol blending is generally expected to reduce soot, yet recent studies show nonlinear responses depending on conditions and reactants. In this work, ethanol was blended with a three-component gasoline surrogate, and soot volume fractions and size distributions were systematically measured. The dataset was then used to validate a soot prediction model, providing new insights into the mechanisms governing soot formation under fuel–blend variations.

A pollution monitoring method for dilution tunnels toward low-concentration PM regulations

Suguru Fukushima･Taisuke Yoshida･Erika Matsumoto･Shota Sando･Shunya Konno (HORIBA)

As regulations on particulate matter (PM) emissions from automobiles and other sources become stricter, one of the challenges in measuring low-concentration PM is reducing background PM. A measurement method using image processing was compared with the conventional filter weight method to verify its usefulness as an efficient dilution tunnel pollution monitoring system. As a result, we get a correlation coefficient of 0.95 or higher and a resolution equivalent to 0.02 mg/mile.