Blogs

Principal Component Analysis | Dimension Reduction Dimension Reduction Techniques- The two popular and well-known dimension reduction techniques are- In this article, we will discuss about Principal Component Analysis Dimension Reduction:   It is defined as a process of converting a data set having vast dimensions into a data set with lesser dimensions.…

The primary goal of a process designer is to design an exchanger with the required thermal duty with the LOWEST COST yet provide EXCELLENT IN-SERVICE RELIABILITY. Allocation is an important decision in this process. Usually, common sense is a reliable guide when deciding which fluid belongs on the shell side…

Pressure drop is a major constraint in the thermal design of shell and tube heat exchangers. A thermal design of a shell and tube heat exchanger is meaningful only when it is optimum and the extent of the optimality is constrained by the pressure drop. Optimization of thermal design requires maximization…

What is Data Analytics? Data analysis is a process of inspecting, cleansing, transforming, and modeling data. Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Need for Data Analytics: Data Analytics is needed in Business to Consumer applications (B2C). Organizations collect data…

Habit 1: You build a simulation model to meet an objective: The purpose of running a simulation should be clearly defined upfront. For instance, if one were to perform mass and energy balances for a preliminary flowsheet, it may be acceptable to use simplified unit operation models available in the…

What is the Optimization Model? It is one class of mathematical models that maximize or minimize a real function by systematically choosing input values from within an allowed set and computing the value of the function. Components of an Optimization Model: An optimization model has three main components- An objective…

What are the Levels of Process Control? Basic Regulatory Control Advanced Regulatory Control Multivariable, Model-Based Control Constrained Economic Optimization Multi-unit constrained Economic Optimization First principle Economic Optimization (RTO) Basic Regulatory Control (BRC) is called a Single sensing element. Input -Single final control element Output (SISO) control. All advanced control methods depends…

What is a Soft Sensor? Modern chemical plants are equipped with data historians that constantly collect and online data from all of the installed sensors every second or minute. Approximately two decades ago, researchers started to make use of the huge data inventory by building predictive models based on these…

What is the Blending Process in the Crude Oil Refinery? Crude oil needs to be processed in a refinery before it can be used. There are three major types of operation that are performed to refine the oil into finished products: Separation Conversion Treating & Blending Blending is the last…

What is Machine Learning? Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. The…