|
|
Mass and Energy Balance Model for Process OptimizationBalance Model for Energy Optimization
Against the backdrop of rising energy costs, energy-intensive manufacturing processes in different sectors are under increasing pressure. Considerable cost cutting is possible through mass and energy optimization schemes. This led to a collaboration with Stora Enso Sachsen GmbH (paper manufacturer) through the INFOR117 Project. What makes the energy saving in a paper industry worthwhile to other manufacturing sectors? Almost two-thirds of the energy (20 % of the production cost) is spent in drying of paper, thus indicating a huge energy (and of course money) saving potential. Capturing the energy saving potential
At the outset, energy integration in the paper manufacturing facility should be made more effective through schemes such as: better monitoring of process variables, improvement in the operating point (or range) of the process, installation of heat recovery systems (e.g. at heat exchangers), use of heat pumps and replacement of high energy streams (steam) with waste heat streams. Most of these techniques are standard recipes which are readily available in the market. However they are designed without giving any consideration to the specific aspects of a manufacturing facility and also provide no quantitative evidence of the potential benefits. The paper manufacturers lack a tool, which optimally calculates with a holistic perspective, the possibilities to meet all heat requirements through the existing heat sources within the facility, thus minimizing the need for use of fresh energy sources. As part of a funded project at TU Dresden, Germany, a facility (paper manufacturing) related balance model was developed and implemented. This model is based on the mass and energy flow networks, location of process control units, staff (operators and managers) experience and additionally measured process variables. This balance model was automated to incorporate real time data. The model represents the actual state of a system with accuracy depending on the location and density of sampling points where a resolution down to individual heat exchangers is possible. This tool also demonstrates the effects of implementing one or more of the energy-saving techniques and helps in deciding beforehand, for or against a particular technique. additional advantages
In addition to identifying and assessing the energy saving
potential, techniques can be designed on the basis of automatic
model application. A constant review and evaluation of the
obtained data will benefit the plant operations.
Publications
|
Dates
25.05.2012
13:00
-
14:30
16.05.2012
14:50
-
16:20
ContactKonrad Treppe Onkar Dixit |