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How is the technique of steady state simulation effective when it comes to real life time-dependent processes?

3 years ago in ANSYS , Solar Collectors By Lukas

Ansys Solar Collector

I know that with the steady state simulation approach the computational time, efforts, and storage can be saved. However, in situations where there is a transient phenomenon; i.e, the simulation process can get affected by real time changes in the intermittent nature like weather conditions or solar radiations, how does the steady state simulation technique help?

In the research papers I have studied, this approach can be carried out in the ANSYS program along with CFD when it comes to solar collectors.

Is there any other reason as well?

All Answers (3 Answers In All)

By Shibi Answered 3 years ago

Hello Lukas, first of all I would like to correct you on something. The real-time changes or you can say the true nature of time cannot be conducted through the use of a steady state approach. The steady state simulation does not have any dimension for such a function. These approaches can already provide an approximation or estimate of reality. So, as a researcher, it is your job to decide based on your type of research whether you need to use a simpler and less costly steady state simulation or if you need to use the transient analysis to get a closer response to reality.

By Ridhima Malhotra Answered 3 years ago

Hi Lukas, can you share those studies you are talking about? Maybe after going through them once, it will be easier to help you out.

Replied 3 years ago

By Lukas

Hi Ridhima, please go through the article below for the same. Analysis of heat transfer in different CPC solar collectors: A CFD approach

By Manish Bhatia Answered 3 years ago

Hi Lukas, as much as I have understood, your question is more about why simulation is required and why we develop models if they can not provide the exact answers (I hope I’m not wrong). I know your confusion because it is true unfortunately that the simulation cannot exact the result but these are still important because of the ease they provide in the research work. They are verified methods which make it easy to communicate and understand certain conditions through simulators. Many domains and industries use complex systems and phenomenons which are hard to study in reality which is why these approaches are required. Based on these approaches, risks and benefits can be estimated. Based on such results critical decisions can be made which can save lives and resources. Moreover, I guess the reasons and benefits you mentioned in the question including time and efforts are enough reasons to use the simulation approach. It can save a lot of time, and when it comes to real life time is more valuable than money. I’m sorry if I went overboard with my answer or said something wrong. I don’t really know about this particular simulation but I did conduct research where I used Ansys, CFD, and Abaqus, that’s why I thought to be a part of this discussion. I hope you make the right decision at last.

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