control pipeline for continous oil refine equipment
- Product Using: Producing Cooking Oil
- Type: Cooking Oil Line
- Main Machinery: Cooking Oil Line Equipment
- Production Capacity:300-400kg/h
- Voltage:380V/50HZ/Triple phase
- Dimension(L*W*H):2280*700*780mm
- Weight:780 KG
- Core Components:Motor
- Oil type:Flax Seed Oil, crude oil, Rap seed oil, oil, Peanut Oil
- Raw material:Peanut, Sunflower, Sesame, Olive, Rapeseed, Soybean etc.
- Name:Screw Oil Refinery Machine
- Product name:Screw Press Oil Expeller
- Function:Oil Pressing Peanut, Sunflower, Sesame, Olive, Rapeseed, Soybean etc.
- Application:Oil Production Line
- Advantage:Energy Saving, High Oil Yield etc.
- Material:Carbon steel or stainless steel
- Output:300-400kg/h
- Section:Pretreatment, press, meal extraction & oil refinery machine section
A continuous-time formulation for scheduling crude oil
In this work, we introduce a cutting-edge model for scheduling the complex and integrated process of crude oil reception, blending, delivery through a pipeline, and processing at a refinery. Our continuous-time model, formulated as a MINLP problem, extends the concept of multi-operation sequencing to include the pipeline operations.
It consists of three sub-models: (i) a refinery manufacturing (RM) sub-model covering all major refinery processing units such as crude distillation, hydrocracking, hydrotreating, and blending operations; (ii) a new multi oil-product pipeline distribution (MOPD) sub-model that considers comprehensive handling measures for oil transmix in the
Large-Scale Continuous-Time Crude Oil Scheduling: A Variable
Evolutionary algorithms (EAs) have significantly contributed to addressing large-scale crude oil scheduling problems (COSPs) that exceed the capabilities of mathematical programming. However, current research using EAs to resolve COSPs is limited to discrete-time models that assume uniform operation durations. While this simplification transforms COSPs into fixed-length optimization problems
A year later, Karuppiah et al. (2008) introduced a non-convex mixed integer nonlinear model (MINLP) for the scheduling of crude oil movement at the front-end of a refinery, i.e. the supply stream, the tanks and the CDUs. The model applies continuous time representation making use of transfer events.
Refinery Short-Term Scheduling Using Continuous Time
This paper addresses the problem of crude-oil short-term scheduling, which is the first part of the overall refining operations. The problem involves the optimal operation of crude-oil unloading from vessels, its transfer to storage tanks, and the charging schedule for each crude-oil mixture to the distillation units. A novel model is developed based on a continuous-time representation and
In this paper, a SCADA/PLC system is used to control a whole oil refinery instead of the conventional control through DCS. The design and specific implementation method of a SCADA/PLC real system
A continuous-time formulation for scheduling crude oil
The reception, mixture, delivery, and processing of crude oil at a refinery are modeled and validated. We employ a continuous-time model based on priority-slots and a multi-operation sequencing
DOI: 10.1016/j.compchemeng.2023.108354 Corpus ID: 260176475; A continuous-time formulation for scheduling crude oil operations in a terminal with a refinery pipeline @article{Zimberg2023ACF, title={A continuous-time formulation for scheduling crude oil operations in a terminal with a refinery pipeline}, author={Bernardo Zimberg and Enrique D. Ferreira and Eduardo Camponogara}, journal={Comput.
Monitoring crude oil quality inline (TIA) - DigitalRefining
By measuring the crude oil at the injection sites, the quality of the crude in the pipeline is not only known in advance but can be controlled by managing the injection feeds. Through online monitoring of API gravity, density, sulphur, TAN, and water, the product variation in the pipeline is held stable. This allows for the incoming crude feed
Honeywell has a 50-year history as a leader in industrial safety and security, and as an innovator in the field of plant automation. Years of providing industrial cyber security. solutions have resulted in proprietary methodologies, best practices, and a comprehensive understanding of cyber security requirements for the process control domain.
- What is Cisco Oil and gas process control & refinery?
- The Cisco oil and gas process control and refinery solution provides a converged, standards-based architecture for supporting these use cases. Enable digital operations by connecting machines, sensors, and other OT systems with secure and standards-based industrial wired and wireless networks.
- Do refineries have a control system?
- Most refineries have some semblance of each evolution of control systems in operation today. A control system can be viewed as a hierarchy of control layers, one on top of the other. Each layer has increasing amounts of information available to it and can perform increasingly complex control functions.
- What is a refinery control architecture?
- Architecture would include what devices are tied into the process control system or network. Figure 1 indicates the general architecture layers possible. In a simple refinery control architecture, the loops are connected to unit control rooms where they are displayed, monitored, and controlled.
- Why do refineries need a control interface?
- The operator is usually given the option to accept or reject the control solution from the more sophisticated systems. This interface is needed because the advanced applications may not have current information about a refinery¡¯s capability and status at any given time.
