Abstract
Thermal comfort in workplaces not only has a direct impact on occupants working efficiency, but also on their morale and health. Therefore, there is a need to establish HVAC (Heating, Ventilation and Air Conditioning) control strategies that ensure comfortable thermal situations in these environments. KDD (Knowledge Discovery in Databases) processes may be used to calculate optimal HVAC control strategies that could ensure thermal comfort within a workplace. This paper presents EROSO (thERmal cOmfort SOlution), a framework that combines KDD processes and Semantic Technologies for ensuring thermal comfort in workplaces. Specifically, this paper focuses on EROSO’s approach for supporting the KDD’s Interpretation phase where Semantic Technologies are used to obtain an explanation of predictive model’s temperature predictions with regards to the thermal comfort regulations they satisfy. Furthermore, this result interpretation supports facility managers in the task of selecting the optimal HVAC control strategies. The EROSO framework is implemented in a real workplace and it is compared with an already existing solution implemented in the same physical scenario. Results show that Semantic Technologies make the proposed solution more usable and extensible, as well as ensuring a thermal comfort situation throughout the working day.
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Notes
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Most times, workplaces are complex buildings which cannot be climatized with rather simple systems like a thermostat-based reactive system.
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“Eroso” means comfortable in Basque language.
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Regression is a technique used to predict a range of numeric values.
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An excerpt of the RDF model generated for the Open Space implementation is available at https://raw.githubusercontent.com/iesnaola/eepsa/master/EKAW2018/model.owl.
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A BMS (Building Management System) is the system in charge of setting HVAC control strategies in buildings.
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AHU (Air Handling Unit) is an HVAC system component used to regulate and circulate air. There may be more than one AHUs associated to a single HVAC system, usually in charge of conditioning a specific space or zone.
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Due to the characteristics of the Open Space, it was assumed that once this temperature was achieved at the beginning of the working day, a comfortable thermal situation would be maintained throughout the working day. However, it has been proved that when certain outdoor conditions are given, this is not true.
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Part of this work received funding from FEDER/TIN2016-78011-C4-2-R.
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Esnaola-Gonzalez, I., Bermúdez, J., Fernández, I., Arnaiz, A. (2018). EROSO: Semantic Technologies Towards Thermal Comfort in Workplaces. In: Faron Zucker, C., Ghidini, C., Napoli, A., Toussaint, Y. (eds) Knowledge Engineering and Knowledge Management. EKAW 2018. Lecture Notes in Computer Science(), vol 11313. Springer, Cham. https://doi.org/10.1007/978-3-030-03667-6_33
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