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The evolution behavior of the light tar during coal fast pyrolysis under inert gas, simulated fuel gas (SFG) atmosphere, and catalytic reformation of simulated (CRS) fuel gas over Ni/Al2O3 was studied in this article. The light tar was recovered from the distillation of the crude tar at the temperature of 300°C and subsequently subjected to detection through the GC-MS analysis. It was found that both SFG and CRS over Ni/Al2O3 significantly enhanced the light tar yield, but a little effect was shown on the heavy tar yield. According to the molecular structure characteristics, the compounds in the light tar could be classified into several groups: aromatic components, phenol components, aliphatic components, heteroatom components, and O-containing components (phenol compounds excluded). It was demonstrated that the selectivity of each component in the light tar varied significantly with the pyrolysis atmosphere and temperature. The evolution of the aromatic components took the dominant role in the light tar produced at high temperature. The SFG and CRS contributed markedly to enhancing the evolution of the O-aromatic components in the light tar, whereas they suppressed the evolution of the O-aliphatic components and the phenol components in the light tar at high temperature.

Nuclear power plant accidents are an important public safety issue, and most accidents occur mainly due to unexpected events of the operator. However, traditional nuclear plant interfaces do not provide operators with the ability to resolve unexpected events. As an interface design method, ecological interface design can improve the situational awareness of operators and is widely used in nuclear power plants and other fields. At the same time, in order to improve the adaptability of the interface structure change, this paper introduces a formative method — Cognitive Work Analysis (CWA). This approach aims to describe the given constraints acting on a complex system from different perspectives and structural levels in order to better show how the system operates, and traditionally consists of five stages: Work Domain Analysis (WDA, which create a set of models that describe how complex systems work and then use those models to guide system design), Control Task Analysis (ConTA, which Build models for known repetitive tasks), Strategy Analysis (StrA, which observe known repetitive activity in more detail), Social Organization & Cooperation Analysis (SOCA, which designed to address team communication and cooperation constraints and boundary conditions), and Worker Competencies Analysis (WCA, which describe the level of cognitive control required by the operator to accomplish different system functional goals and tasks). This article will discuss the framework for the use of these five stages at the ecological interface.