Publication

First and Second Law Based Fuel Minimization in a Batch Furnace.

1995
Conference Papers

Abstract

This paper presents results for the minimization of fuel consumption in a batch furnace. Several different criteria are used and minimized with respect to time-dependent process and control variables. The results show that globally there is no significant difference between the solutions found, i.e. the choice of criterion - inergy, exergy, exergy destruction, entropy creation of the system and entropy creation of the system plus environment - does not significantly effect the global results. However, the specific details of each soution can, in fact, be quite different. In addition, it is shown that the application of optimization techniques to this type of furnace control problem can from a practical standpoint significantly reduce (by about 9% on an energy basis and 13.5% on an exergy basis) the overall consumption of fuel.

Official source

https://infoscience.epfl.ch/entities/publication/993cc704-5c0c-42dc-9f7b-7612f24b775d

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

1995
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/993cc704-5c0c-42dc-9f7b-7612f24b775d

About this result

Related concepts (32)

Exergy

From a scientific and engineering perspective, second-law based exergy analysis is valuable because it provides a number of benefits over energy analysis alone. These benefits include the basis for determining energy quality (or exergy content), enhancing the understanding of fundamental physical phenomena, and improving design, performance evaluation and optimization efforts. In thermodynamics, the exergy of a system is the maximum useful work that can be produced as the system is brought into equilibrium with its environment by an ideal process.

Blast furnace

A blast furnace is a type of metallurgical furnace used for smelting to produce industrial metals, generally pig iron, but also others such as lead or copper. Blast refers to the combustion air being supplied above atmospheric pressure. In a blast furnace, fuel (coke), ores, and flux (limestone) are continuously supplied through the top of the furnace, while a hot blast of air (sometimes with oxygen enrichment) is blown into the lower section of the furnace through a series of pipes called tuyeres, so that the chemical reactions take place throughout the furnace as the material falls downward.

Second law of thermodynamics

The second law of thermodynamics is a physical law based on universal experience concerning heat and energy interconversions. One simple statement of the law is that heat always moves from hotter objects to colder objects (or "downhill"), unless energy in some form is supplied to reverse the direction of heat flow. Another definition is: "Not all heat energy can be converted into work in a cyclic process." The second law of thermodynamics in other versions establishes the concept of entropy as a physical property of a thermodynamic system.

Related publications (25)

First and Second Law Based Fuel Minimization in a Batch Furnace.

Chat with Graph Search

Exergy Efficiency Is a Key Performance Indicator to Rank Advanced Active Energy Technologies at the District Level

Frequency Response Data-Driven Disturbance Observer Design for Flexible Joint Robots

Human Body as a Model for Distributed Intelligence in Self-Driving Laboratories