Marine environmental impact prediction method for cold drained water and residual chlorine of coastal LNG (Liquefied Natural Gas) receiving station

Abstract

The invention discloses a marine environmental impact prediction method for cold drained water and residual chlorine of a coastal LNG (Liquefied Natural Gas) receiving station. The method comprises a receiving station operation working condition module (including water intake, biological inactivated chlorination, temperature reduction control, residual chlorine control and drainage sub-modules and a data base), a marine organism loss calculation module (including water intake mechanical entanglement influence, inactivation influence, residual chlorine influence and temperature reduction influence sub-modules and a data base) and an operation situation dynamic combination module (including cold drained water diffusion and residual chlorine diffusion modules), and can help related workers to simulate and predict the water temperature change and influence range caused by inactivation of saline water vaporized LNG by using chlorination and drainage of cold water and the residue chlorine concentration change and influence range in the drained water; the marine organism loss under the situation of specific temperature difference and residual chlorine concentration increase is calculated; a temperature reduction and residual chlorine control scheme with a lower marine organism influence degree is optimized, so that an environment-friendly strategy can be favorably realized; the method belongs to the technical field of prevention and treatment of environment protection and water pollution.

Description

(1) Technical field [0001] The invention relates to a method for predicting the impact of cold drainage and residual chlorine on the marine environment of a coastal LNG receiving station, which can help relevant personnel build a model of cold drainage and residual chlorine diffusion, and use chlorine to inactivate seawater vaporization at the LNG (liquefied natural gas) receiving station Simulate and predict the change in water temperature and the scope of influence caused by the parallel discharge of LNG into cold water, and the change and scope of influence of residual chlorine concentration in drainage; calculate and define the loss of various marine organisms under specific temperature differences and increased residual chlorine concentration under different working conditions and then optimize the cold drainage temperature drop and residual chlorine content control scheme that has a low impact on marine organisms and fishery resources, which is conducive to the realizatio...

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Problems solved by technology

Therefore, based on the above-mentioned research background and investigation, the above-mentioned methods mostly draw on the existing foreign models and numerical simulation methods. The above-mentioned models need to determine a large number of factors, the model has a high degree of specialization, and has high requirements for users. Although the accuracy is high, the prediction results It is more accurate, but there are certain difficulties in the application and promotion of actual projects. The research on cold drainage and residual chlorine prediction methods suitable for China's LNG receiving stations and related environmental protection requirements is still immature, and it is difficult to use some scattered numerical simulation formulas alone. To meet the prediction needs of systematically, comprehensively and practically reflecting the impact of the temperature drop and residual chlorine concentration changes brought about by the operation of LNG receiving stations on the marine environment and fishery resources, and the existing invention patents for residual chlorine or temperature drop prediction methods are only for It is not suitable for a specific project, nor is it applicable to the general situation of LNG receiving stations. At present, there are few studies on the impact analysis of LNG receiving station projects on marine organisms. Many contents still need to learn from the conclusions of power plant projects, and there are more qualitative analyzes , there is less quantitative research, and a lot of basic work needs to be done to provide effective technical support

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