The project is implemented in close collaboration with University of Gävle. A mixed team from InventiAir's and HiG's employees led by Taghi Karimipanah (HiG) and Martin Sellö (President of InventiAir). The project will be conducted in two stages: 1) Testing and verification of mixing ventilation vs InventiAir’s system and products.
2) Implementation of test results to the underlying formulas / algorithms and development of user support for the users of InventiAir’s products.
Research in fluid dynamics with energy saving in the ventilation systems:
I participate in a basic research project to develop alternative methods of air distribution systems which have the advantages of displacement ventilation system but without its drawbacks.
In this research program I am collaborating with Prof. Mats Sandberg, Professor Bahram Moshfegh and Prof. Hazim Awbi (UK). Some of our published journal and conference papers are in this area.
In order to improve the prediction and development in computer simulations, in addition to the researchers mentioned earlier; Ulf Larsson, Mathias Cehlin and I formed a group and work is in full swing .
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The well-being of people depends largely on their health and comfort as well as on the safety conditions under which they perform their main activities of living, working and transportation. Due to its impact on human health and productivity, the subject of indoor environment has been expanding rapidly in developed countries in the last two decades. My own research in this area focuses on room air distribution and pollutants movement in enclosed spaces with particular emphasis on computer simulation for the design of air distribution systems and predicting the indoor environmental quality produced by new systems.
In 1996, I started collaborating with the Indoor Environment and Energy Research Group (IEERG) in the School of Construction Management and Engineering, University of Reading (lead by Professor Hazim Awbi) which is a focal point for in indoor environment research in the UK. The Group has been engaged in research in the areas: indoor air quality, indoor thermal environment, room air movement, passive and active energy systems, computer simulation of energy flow in buildings, and the application of Computational Fluid Dynamics (CFD) to the built environment. I was involved in evaluation and testing of the CFD code VORTEX (Developed by Prof. Awbi) specifically for research in and applications to indoor environment. Nowadays, CFD is considered one of the main tools that are used for predicting the indoor environmental quality in indoor spaces. However, there remain many challenges for improving the predictive accuracy of CFD codes, such as better turbulence modeling, more accurate boundary conditions for specifying the often very complex ventilation terminal units, etc.
The research collaborations with other group members have produced significant contributions to the field of indoor environment. These publications on room air flow analysis and modeling and the application of the new Air Distribution Index are in particular widely quoted by other researchers. Our research in room air movement has led to the development of novel and energy efficient room air distribution systems, such as the impinging jet ventilation system (IJVS), developed with Air Innovation AB (Sweden), and the confluent jets ventilation system (CJVS) developed with Fresh AB and InventiAir AB (Sweden). Ventilation plants that are based on the IJVS have been installed in more than 30 buildings in Sweden. The CJVS has also been installed in more than 70 buildings in Sweden and Finland including office buildings, schools, health care buildings, public buildings, leisure centers, etc. It is widely acknowledged that Sweden Denmark, and Finland are at the forefront of ventilation systems development in the world.
However, many challenges remain for improving our understanding of the processes that influence the quality of the indoor environment, energy efficiency in ventilation systems, the use of renewable energy sources and more accurate computer modeling.