Abstract
In the process of decision on technical solution to vapor recovery of refined oil terminals, the grey-correlation analysis (GCA) is introduced to optimise technical solutions by building a multi-target decision model and using the sequencing of weighted grey-correlation degree (GCD) of evaluation solution as judgment criteria, to determine the priorities of solutions, and the effectiveness of the decision method is verified by a practical example.
Highlights
Massive escape of vapor do pose risks to terminal operations in terms of safety and environment, and waste resources because light oils such as gasoline, naphtha and aviation kerosene will flee due to vapor evaporation during their loading, and the dynamic change of vapor is nearly visible when the temperature is high in summer
The Law on Prevention and Control of Atmospheric Pollution amended in 2015 specifies that “oil or gas storage tank farms, petrol or gas stations, terminals for crude or refined oils, crude or refined oil vessels, and oil or gas tank trucks, among others, shall be equipped with vapor recovery devices which shall be under normal operation in accordance with applicable national rules and regulations”[1]
In choosing the technical solution on vapor recovery, it is essential for terminals to consider multiple factors comprehensively, for instance, the reliability and safety of the vapor recovery system, cost of construction and operation, type of cargoes, flowing rate and vapor concentration, and the operational mode etc., which jointly decide the operational outcome of the chosen technical solution
Summary
Massive escape of vapor do pose risks to terminal operations in terms of safety and environment, and waste resources because light oils such as gasoline, naphtha and aviation kerosene will flee due to vapor evaporation during their loading, and the dynamic change of vapor is nearly visible when the temperature is high in summer. The Law on Prevention and Control of Atmospheric Pollution amended in 2015 specifies that “oil or gas storage tank farms, petrol or gas stations, terminals for crude or refined oils, crude or refined oil vessels, and oil or gas tank trucks, among others, shall be equipped with vapor recovery devices which shall be under normal operation in accordance with applicable national rules and regulations”[1]. That vapor recovery technology does become a typical demonstration to mitigate environmental pollution at terminals, and is escalated to the technical measures required in national laws. As the State and authorities increase the stand limits on emission concentration of vapor, the environmental requirement cannot be met by using one single treatment technology alone, so processes combinations by coupling several unit treatment technologies are gaining wide applications at terminals. Based on the Greycorrelation degree(GCD) theory, this paper establishes a multi-target decision mode with the weighted GCD of technical solutions as the criterion to realize the comprehensive evaluation and optimization of technical solutions, and verifies the feasibility and effectiveness of
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