№73-12

Prospects of thermal comfort management process automation

O. Boyko1, E. Voskoboinyk1, Yu. Cheberiachko1, A. Bublikov1

1Dnipro University of Technology, Dnipro, Ukraine

Coll.res.pap.nat.min.univ. 2023, 73:134-143

https://doi.org/10.33271/crpnmu/73.134

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ABSTRACT

PurposeIncreasing the efficiency of the building's energy system by taking into account the interrelationship of energy sources, thermal protection, indicators of thermal comfort and microclimate parameters of the premises. Taking into account the changes in the requirements of the European Union for indoor temperature and modern economic challenges, the main goal is to develop a system for automatic control of thermal comfort in a given temperature range with minimization of energy costs. Today, there are already many installed heating and cooling air systems. Based on this, the development of a universal device for maintaining thermal comfort in the room is promising.

The methods. To conduct an analysis of the developed approaches to increase the efficiency of the energy system of the building in terms of thermal comfort, to determine the features and possibilities of the energy analysis of heat and taking into account the limitations of human thermal comfort.

Findings. The proposed structure of the thermal comfort regulator will make it possible to develop a universal regulator that can be used in heating and air cooling systems, or in combined systems. Improving the quality of indoor temperature control can be achieved by directly managing thermal comfort based on the predicted average PMV score and the predicted percentage of dissatisfied PDD.

The originality. Typical approaches to managing indoor comfort based on temperature do not take into account radiation, humidity, air speed, clothing and user load, which leads to both the creation of uncomfortable conditions and excessive use of energy resources. For the first time, in accordance with DSTU B EN ISO 7730:2011, the structure of the thermal comfort control system was proposed, its input and output parameters and ways of obtaining non-measurable parameters were defined. The control system based on the predicted average PMV score and the predicted percentage of dissatisfied PDD determines the level of thermal comfort in the room and reduces the number of dissatisfied users. Management based on the predicted average PMV score ensures a reduction in the use of energy resources while maintaining the minimum acceptable thermal comfort indicators.

Practical implementation. The resulting structure can be used in the development of new thermal comfort control systems. Taking into account the presence of a large number of already existing heating and air cooling systems, it is proposed to use thermal comfort regulators to improve the quality of their functioning. The proposed approach through the use of the thermal comfort model will make it possible to determine the heating needs under different comfort conditions, reduce the energy consumption of the building without harming human health, and assess the possibility of increasing energy efficiency by changing the comfort conditions, thermal protection parameters and the microclimate of the premises.

Keywords: comfort, regulator, microclimate, SCADA, automation, thermal facility.

References

1. DSTU B EN ISO 7730: 2011. Erhonomika teplovoho seredovyshcha. Analitychne vyznachennia ta interpretatsiia teplovoho komfortu na osnovi roz-rakhunkiv pokaznykiv PMV i PPD i kryteriiv lokalnoho teplovoho komfortu (2012). [Chynnyi vid 2013-01-01]. Minrehion Ukrainy.

2. DBN V.2.5-67:2013. Opalennia, ventyliatsiia ta kondytsionuvannia (2013). [Chynnyi vid 01.01.2014]. Ukrarkhbud-inform.

3. DSTU B EN 15261: 2012. Rozrakhunok parametriv mikroklimatu (2012). [Chynnyi vid 2013-01-01]. Minrehion Ukrainy.

4. DSTU B A.2.2-12:2015. Enerhetychna efektyvnist budivel. Natsionalnyi metod rozrakhunku enerhospozhyvannia pry opalenni, okholodzhenni ta hariachomu vodopostachanni (2016). Ministerstvo rehionalnoho rozvytku budivnytstva ta zhytlovo-komunalnoho hospodarstva Ukrainy.

5. Orosa,J. (2009). Research on General Thermal Comfort Models. European Journal of Scientific Research, 27. 217–227.

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