Enhancing Historic Building Performance with the Use of Fuzzy Inference System to Control the Electric Cooling System

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dc.contributor.authorMartinez-Molina, Antonio
dc.contributor.authorAlamaniotis, Miltiadis
dc.date.accessioned2020-10-22T20:34:53Z
dc.date.available2020-10-22T20:34:53Z
dc.date.issued2020-07-21
dc.descriptionFinal published version of this article is available at https://www.mdpi.com/2071-1050/12/14/5848.en_US
dc.description.abstractIn recent years, the interest in properly conditioning the indoor environment of historic buildings has increased significantly. However, maintaining a suitable environment for building and artwork preservation while keeping comfortable conditions for occupants is a very challenging and multi-layered job that might require a considerable increase in energy consumption. Most historic structures use traditional on/off heating, ventilation, and air conditioning (HVAC) system controllers with predetermined setpoints. However, these controllers neglect the building sensitivity to occupancy and relative humidity changes. Thus, sophisticated controllers are needed to enhance historic building performance to reduce electric energy consumption and increase sustainability while maintaining the building historic values. This study presents an electric cooling air controller based on a fuzzy inference system (FIS) model to, simultaneously, control air temperature and relative humidity, taking into account building occupancy patterns. The FIS numerically expresses variables via predetermined fuzzy sets and their correlation via 27 fuzzy rules. This intelligent model is compared to the typical thermostat on/off baseline control to evaluate conditions of cooling supply during cooling season. The comparative analysis shows a FIS controller enhancing building performance by improving thermal comfort and optimizing indoor environmental conditions for building and artwork preservation, while reducing the HVAC operation time by 5.7%.en_US
dc.description.departmentArchitecture and Planning
dc.description.departmentElectrical and Computer Engineering
dc.description.sponsorshipThis research would not have been possible without the co-operation of the Archdiocese of San Antonio, Ford, Powell and Carson Inc., and the valuable contribution of the Mission Concepción de Acuña staff. This research has been supported by the Centre of Cultural Sustainability (CCS) of the University of Texas at San Antonio (UTSA).en_US
dc.identifier.citationMartinez-Molina, A., & Alamaniotis, M. (2020). Enhancing Historic Building Performance with the Use of Fuzzy Inference System to Control the Electric Cooling System. Sustainability, 12(14), 5848. https://doi.org/10.3390/su12145848en_US
dc.identifier.issn2071-1050
dc.identifier.otherhttps://doi.org/10.3390/su12145848
dc.identifier.urihttps://hdl.handle.net/20.500.12588/141
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.relation.ispartofseriesSustainability;Volume 12, Issue 14
dc.rightsAttribution 4.0 United States
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectfuzzy controlen_US
dc.subjecthistoric buildingsen_US
dc.subjectelectric systemsen_US
dc.subjectHVACen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectfuzzy inference systemen_US
dc.subjectFISen_US
dc.subjectthermal comforten_US
dc.subjectpreservationen_US
dc.subjectelectric cooling systemsen_US
dc.subjectfuzzy control
dc.subjecthistoric buildings
dc.subjectelectric systems
dc.subjectHVAC
dc.subjectArtificial Intelligence
dc.subjectfuzzy inference system
dc.subjectFIS
dc.subjectthermal comfort
dc.subjectpreservation
dc.subjectelectric cooling systems
dc.titleEnhancing Historic Building Performance with the Use of Fuzzy Inference System to Control the Electric Cooling Systemen_US
dc.typeArticleen_US

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