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Graphical abstract Highlights • A TLPB model for DCM removal was developed and agreed well with experimental data. • Monod model was used to obtain variation of biomass accumulation. • Effects of design parameters on performance were simulated. • A contour graph was used for CEA analysis under different conditions. Abstract Two-liquid phase biofilter (TLPB) is a new type biofiltration system for controlling hydrophobic volatile organic compounds. In this paper, a mathematical model was developed for a TLPB that can treat gaseous dichloromethane (DCM). The specific growth rate of the biomass inside the TLPB fitted the Monod model. u max and K s were 0.013 d−1 and 1.288 g m-3, respectively. The Henry's Law constant of the two liquid phase mixtures was obtained as 0.125 kPa m3 mol−1 under the addition of 10% silicone oil. Simulation results revealed that the model is a good tool for evaluating the removal performance of TLPB. Practical applications of the model indicated that an increase in the silicone-oil-to-mixture ratio and inoculated biomass improved the removal efficiency, whereas an increase in the inlet DCM concentration and gas velocity negatively affected the removal performance. Moreover, the model can be used to determine the design parameters and ensure that the outlet concentration satisfies the emission standards. The results of cost-effectiveness analysis indicated that the expenditure for DCM removal per year was low when TLPB was used to treat a high DCM concentration steam with a long empty-bed retention time. [ABSTRACT FROM AUTHOR]

Article 6 of the Paris Agreement enables Parties to achieve their Nationally Determined Contributions (NDCs) through direct cooperation or Internationally Transferred Mitigation Outcomes (ITMO). Current researches on Article 6 are mostly based on the assumption of unlimited global carbon market link, which may lead to large price volatility and cause concern of policy makers. In order to investigate the impact of inter-regional carbon market link mechanism on global climate action, here, we designed carbon market link scenarios with different degrees of trading volume limits. We simulated the global and regional carbon markets under different scenarios from 2025 to 2060 using the Global Change Assessment Model (GCAM). The findings suggest that as the link limit tightens, both the price volatility of global carbon market and the cumulative mitigation costs saved by carbon market links decrease, which reminds policy makers of the trade-off between economic efficiency and price volatility. The price volatility under the unlimited global carbon market scenario is about 30% higher than that with link limits implemented, while the unlimited market would also save about 0.83 trillion dollars abatement costs than the limited scenario. At the national level, a total of 14 regions are limited in different link limit scenarios, among which China, the United States, EU and India are the most sensitive regions to link limits. Based on the scenario results, we discuss the design of international carbon market link mechanisms, such as absolute link limits and relative link limits. • A trade-off between economic efficiency and price volatility under link limit. • A total of 14 regions are limited in the limit scenarios. • China, U.S., EU and India are the most sensitive regions to link limits. • Regional heterogeneity in sensitivity to absolute and relative limit mechanisms. • The direction of the financial flows remains unchanged with link limits. [ABSTRACT FROM AUTHOR]