Abstract

The paper presents the method of heat calculation of recovery stages for the plant of moisture evaporation from oil sludge. It enables to increase the plant power and reduce fuel consumption per one unit of evaporated moisture in heating boiler.

Highlights

  • At the modern stage of chemistry and petrochemistry development, the processes of management of waste, including oil and sludge, are under strict complex requirements

  • The existing technologies for oil sludge disposal often do not respond to the stated requirements, and have a negative impact on the environment by their own waste, which have to be buried

  • After evaporation process starts in the main evaporation stage, the primary steam leaving it with temperature t1 and pressure p1 enters the heating pipes of heat-recovery stage, where it condenses at about the same temperature and pressure

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Summary

Introduction

At the modern stage of chemistry and petrochemistry development, the processes of management of waste, including oil and sludge, are under strict complex requirements These include reducing energy and resource consumption, increasing their technical and economic efficiency, ensuring environmental safety according to the world standards [1,2]. Despite the obvious urgency of the problem of oil sludge disposal, such productions are still not as widespread as required This is explained by the fact that such plants, both Russian and international, have a high cost with low productivity and efficiency. In recent times oil sludge separation units (BRNSh) are the most promising in the field of oil-containing waste recovery [3] Such plants are based on evaporation of moisture from oil sludge waste, they can be potentially improved and achieve higher energy efficiency. Technological parameters are identified that significantly affect the performance and thermal efficiency of the BRNSh-3 unit (the number “3” means the volume of oil sludge (m3) loaded in plant) [4]

Technological scheme of BRNSh plant
Operation principle of the plant
Computation model
Findings
Conclusions
Full Text
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