PM2.5 emission from the coal combustion in the Polish residential sector. State and outlooks

Damian Zasina, I. Kargulewicz
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Abstract

The paper presents obtaining the average PM2.5 emission factor from coal combustion in the residential sector using (statistical) Monte Carlo simulation combined with the model proposed by [Lorenz 1999] and [Radović 1997], also applied by [Stala–Szlugaj 2011]. According to the results of laboratory experiments [Czaplicka et al. 2019; Shen 2014], the estimated amount of PM2.5 released into the air from the individually heated residential sector might be underestimated. Simulated emission factor is used for estimation of the PM2.5 emission trend for the period 1990–2018 and compared with the data provided by the official Polish emission inventory [NCEM 2020]. Due to significant changes in officially applied data (share of coal consumption and emission factor) [MCAE 2023], and to ensure the data consistency with projected fuel demand [Stala–Szlugaj 2017], and PM2.5 emissions [MSA 2019], the older data is used [NCEM 2020] in the paper. In the near future, the next substantial changes in projected fuel use are expected due to the ongoing works on the update of the National Energy and Climate Plan.
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波兰住宅部门燃煤产生的 PM2.5 排放。现状与展望
本文介绍了利用(统计)蒙特卡洛模拟结合[Lorenz 1999]和[Radović 1997]提出的模型([Stala-Szlugaj 2011]也应用了该模型)获得居民部门燃煤产生的 PM2.5 平均排放因子。根据实验室实验结果[Czaplicka 等人,2019 年;Shen,2014 年],单独供暖的住宅部门释放到空气中的 PM2.5 估计量可能被低估。模拟排放因子用于估算1990-2018年期间的PM2.5排放趋势,并与波兰官方排放清单[NCEM 2020]提供的数据进行比较。由于官方应用的数据(煤炭消费份额和排放因子)[MCAE 2023]发生了重大变化,为确保数据与预测的燃料需求[Stala-Szlugaj 2017]和 PM2.5 排放[MSA 2019]保持一致,本文使用了较早的数据[NCEM 2020]。在不久的将来,由于《国家能源与气候计划》的更新工作正在进行中,预计燃料使用预测将发生下一次重大变化。
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