Affiliation:
1. Technical University of Košice , Slovakia , Civil Engineering Faculty , Institute of Environmental Engineering
Abstract
Abstract
Considering the current gradual depletion of non-renewable primary sources, it is necessary to address the reduction of energy consumption in ventilation and air conditioning systems. Although heat recovery alone reduces the energy intensity of these systems, if moisture recovery is considered as well, the contribution in reducing energy consumption is significant. These are mainly the devices designed primarily for spaces where people stay permanently, which do not allow large fluctuations in temperature and humidity. In cooperation with the manufacturer of heat recovery exchangers, we determined our own method of comparing different types of materials that could be used to design an exchanger which would also allow moisture recovery. These results in a significant reduction in energy consumption used to humidify the air in ventilation and air conditioning systems. It is one of the possible ways how to compare individual samples that are being measured. This article primarily deals with the comparison of three different types of materials, out of the total number of twelve measured samples.
Reference33 articles.
1. [1] Directive of the European Parliament. (2018). Directive (EU) 2018/844 of the European Parliament and of the Council of 30 May 2018 amending Directive 2010/31/EU on the energy performance of buildings and Directive 2012/27/EU on energy efficiency. Available online: http://data.europa.eu/eli/dir/2018/844/oj (acces 10. october 2020).
2. [2] Airaksinen, M. (2011). Energy Use in Day Care Centers and Schools. Energies 2011, 4, 998-1009.10.3390/en4070998
3. [3] Steen Englund, J.; Cehlin, M.; Akander, J.; Moshfegh, B. (2020). Measured and Simulated Energy Use in a Secondary School Building in Sweden—A Case Study of Validation, Airing, and Occupancy Behaviour. Energies 2020, 13, 2325.10.3390/en13092325
4. [4] Wahid, F.; Fayaz, M.; Aljarbouh, A.; Mir, M.; Aamir, M.; Imran. (2020). Energy Consumption Optimization and User Comfort Maximization in Smart Buildings Using a Hybrid of the Firefly and Genetic Algorithms. Energies 2020, 13, 4363.10.3390/en13174363
5. [5] Ruiz, G.R.; Bandera, C.F. (2017). Validation of Calibrated Energy Models: Common Errors. Energies 2017, 10, 1587.10.3390/en10101587