Smart Thermostat Development and Validation on an Environmental Chamber Using Surrogate Modelling.
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| Title: | Smart Thermostat Development and Validation on an Environmental Chamber Using Surrogate Modelling. |
|---|---|
| Authors: | Zouloumis, Leonidas1 (AUTHOR), Ploskas, Nikolaos2 (AUTHOR), Taousanidis, Nikolaos1 (AUTHOR), Panaras, Giorgos1,2 (AUTHOR) gpanaras@uowm.gr |
| Source: | Energies (19961073). Jul2025, Vol. 18 Issue 13, p3433. 26p. |
| Subjects: | Energy management, Heating control, Predictive control systems, Heat pumps, Computer simulation, Thermal comfort, Heating from central stations |
| Abstract: | The significant contribution of buildings to the global primary energy consumption necessitates the application of energy management methodologies at a building scale. Although dynamic simulation tools and decision-making algorithms are core components of energy management methodologies, they are often accompanied by excessive computational cost. As future controlling structures tend to become autonomized in building heating layouts, encouraging distributed heating services, the research scope calls for creating lightweight building energy system modeling as well monitoring and controlling methods. Following this notion, the proposed methodology turns a programmable controller into a smart thermostat that utilizes surrogate modeling formed by the ALAMO approach and is applied in a 4-m-by-4-m-by-2.85-m environmental chamber setup heated by a heat pump. The results indicate that the smart thermostat trained on the indoor environmental conditions of the chamber for a one-week period attained a predictive RMSE of 0.082–0.116 °C. Consequently, it preplans the heating hours and applies preheating controlling strategies in real time effectively, using only the computational power of a conventional controller, essentially managing to attain at least 97% thermal comfort on the test days. Finally, the methodology has the potential to meet the requirements of future building energy systems featured in urban-scale RES-based district heating networks. [ABSTRACT FROM AUTHOR] |
| Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 186601143 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Smart Thermostat Development and Validation on an Environmental Chamber Using Surrogate Modelling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zouloumis%2C+Leonidas%22">Zouloumis, Leonidas</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ploskas%2C+Nikolaos%22">Ploskas, Nikolaos</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Taousanidis%2C+Nikolaos%22">Taousanidis, Nikolaos</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Panaras%2C+Giorgos%22">Panaras, Giorgos</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> gpanaras@uowm.gr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jul2025, Vol. 18 Issue 13, p3433. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Energy+management%22">Energy management</searchLink><br /><searchLink fieldCode="DE" term="%22Heating+control%22">Heating control</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Heat+pumps%22">Heat pumps</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Thermal+comfort%22">Thermal comfort</searchLink><br /><searchLink fieldCode="DE" term="%22Heating+from+central+stations%22">Heating from central stations</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The significant contribution of buildings to the global primary energy consumption necessitates the application of energy management methodologies at a building scale. Although dynamic simulation tools and decision-making algorithms are core components of energy management methodologies, they are often accompanied by excessive computational cost. As future controlling structures tend to become autonomized in building heating layouts, encouraging distributed heating services, the research scope calls for creating lightweight building energy system modeling as well monitoring and controlling methods. Following this notion, the proposed methodology turns a programmable controller into a smart thermostat that utilizes surrogate modeling formed by the ALAMO approach and is applied in a 4-m-by-4-m-by-2.85-m environmental chamber setup heated by a heat pump. The results indicate that the smart thermostat trained on the indoor environmental conditions of the chamber for a one-week period attained a predictive RMSE of 0.082–0.116 °C. Consequently, it preplans the heating hours and applies preheating controlling strategies in real time effectively, using only the computational power of a conventional controller, essentially managing to attain at least 97% thermal comfort on the test days. Finally, the methodology has the potential to meet the requirements of future building energy systems featured in urban-scale RES-based district heating networks. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=186601143 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en18133433 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 3433 Subjects: – SubjectFull: Energy management Type: general – SubjectFull: Heating control Type: general – SubjectFull: Predictive control systems Type: general – SubjectFull: Heat pumps Type: general – SubjectFull: Computer simulation Type: general – SubjectFull: Thermal comfort Type: general – SubjectFull: Heating from central stations Type: general Titles: – TitleFull: Smart Thermostat Development and Validation on an Environmental Chamber Using Surrogate Modelling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zouloumis, Leonidas – PersonEntity: Name: NameFull: Ploskas, Nikolaos – PersonEntity: Name: NameFull: Taousanidis, Nikolaos – PersonEntity: Name: NameFull: Panaras, Giorgos IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 18 – Type: issue Value: 13 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |
