Hello,
I'm about to start a project about designing an optimal heating algorithm for outdoor pools and hot tubs. The algorithm we are aiming for should take into consideration not only the current water and air temperature, relative humidity, pool surface and volume but also the predicted temperature in the next 24h in order to minimize the necessary heating needed to attain and keep a given water temperature (ex: 27 deg) in a certain time (like in 6h when people will bathe at 13h00).
I would be looking for the following two kind of advice:
1) Papers or reports about predictive control design methodology on energy efficiency
What appears different with our project is the fact that the required heating will be influenced by much later acquired solar heat during the day. How best to take such long term effect into account?
2) Tutorials and first hand experience with OpenFoam or TRNSYS on this kind of modeling problem:
I have a strong mathematical and programming background but no experience with either software or FEM/CFD. Any suggestion about which tool might be easier to model and experiment with for this problem?
Regards,
Bruno
Dear Bruno Martin,
I suggest you to see links and attached file on topic.
https://worldwidescience.org/topicpages/o/open+water+swimming.html
https://www.cheric.org/research/tech/periodicals/view.php?seq=1283516
Article A Methodology of Energy Optimization in Indoor Swimming Pool
Best regards
CFD (OpenFoam) is the wrong tool. You do not need to go into the details of the fluid elements in your pool. Take the pool as an ideally stirred vessel. Look for a DMC (Dynamic Matrix Control) Algorithm. FIR model identification is available as a Python library.
I would prefer to use the TRNSYS software. TRNSYS is a transient systems simulation program with a modular structure. It recognizes a system description language in which the user specifies the components that constitute the system and the manner in which they are connected. The TRNSYS library includes many of the components commonly found in thermal and electrical energy systems, as well as component routines to handle input of weather data or other time-dependent forcing functions and output of simulation results. The modular nature of TRNSYS gives the program tremendous flexibility, and facilitates the addition to the program of mathematical models not included in the standard TRNSYS library. TRNSYS is well suited to detailed analyses of any system whose behaviour is dependent on the passage of time. TRNSYS has become reference software for researchers and engineers around the world. Main applications include: solar systems (solar thermal and photovoltaic systems), low energy buildings and HVAC systems, renewable energy systems, cogeneration, fuel cells.
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