A mechanism of ontology-based rule management for smart building energy saving service

Lee, Hyun-Jeong; Jeong, Youn-Kwae; Lee, Il-Woo

doi:10.1109/ictc.2012.6387131

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…By analyzing data over time, they discern patterns in occupant behaviors and preferences, allowing them to anticipate needs and make proactive adjustments. This predictive capability, coupled with remote access features, puts unprecedented control in the hands of building managers and occupants alike (Irwin et al, 2011;Lee et al, 2012;Thomas & Cook, 2016).…”

Section: Smart Building Systems: a Primermentioning

confidence: 99%

Integration of Renewable Energy Technologies in Smart Building Design for Enhanced Energy Efficiency and Self-Sufficiency

Orikpete,

Ikemba,

Ewim

2023

J. Eng. Exact Sci.

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This paper investigates the integration of renewable energy technologies (RETs) in the design of smart buildings with the aim of achieving enhanced energy efficiency and self-sufficiency. As the demand for sustainable building practices grows, it becomes imperative to harness renewable energy sources and leverage advanced control mechanisms. This paper provides a comprehensive overview of the current state-of-the-art RETs, including photovoltaics, wind turbines, solar thermal systems, and energy storage solutions. The focus of the paper extends to the convergence of these technologies with smart building systems, such as energy management systems, building automation, and advanced sensors and controls. Through in-depth case studies, the paper demonstrates how the synergetic integration of RETs in smart buildings can lead to significant reductions in energy consumption, lower carbon footprints, and an enhanced ability for buildings to be energy self-reliant. Furthermore, the paper delves into potential challenges and barriers faced in the adoption of these technologies and offers strategies and recommendations to overcome them. Our findings underscore the transformative potential of merging RETs with smart building designs and emphasize the need for further research and policy support in this domain.

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Section: Smart Building Systems: a Primermentioning

confidence: 99%

Integration of Renewable Energy Technologies in Smart Building Design for Enhanced Energy Efficiency and Self-Sufficiency

Orikpete,

Ikemba,

Ewim

2023

J. Eng. Exact Sci.

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“…51 Notable approaches using ontologies to capture, structure, and provide knowledge to applications linked with BAS have been realized by Dibowski et al and Ploennigs et al with the development of appropriate ontology models for the design of devices in BAS. 52,53 Lee et al, 54 Tomasevic et al, 55 Ploennigs et al, 56 and Delgoshaei et al 5 developed further approaches based on ontologies linked with BAS, EMS, and FDD applications. Bhattacharya et al…”

Section: Semantic Web Technologiesmentioning

confidence: 99%

Energy performance optimization in buildings: A review on semantic interoperability, fault detection, and predictive control

Benndorf

Wystrcil

Réhault

2018

Applied Physics Reviews

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The building sector accounts for about 30% of the global final energy consumption. Most of the consumed energy originates from fossil fuels. The operation of buildings is known to suffer from various deficiencies, degrading their energy performance. An untapped potential lies, therefore, in the optimization of building operation to significantly reduce CO 2 emissions and to increase the cost effectiveness and user comfort. Over the past 40 years, extensive research has been carried out to investigate and develop methods for building performance optimization based on measured data from building services, such as heating, ventilation, air conditioning, and lighting systems. The ongoing digitalization trend in the building sector offers the opportunity to easily access large amounts of high-quality measurement data and semantic building information as digital descriptions. This facilitates the development and implementation of automated routines for the continuous supervision and optimization of building operation, including reliable fault detection and diagnosis and model-predictive control. This review article is focused on three major research topics in the field of energy-efficient buildings, namely, semantic interoperability between heterogeneous and complex systems, methods for fault detection and diagnosis, and model-predictive control. V

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“…For rule conflict verification, some existing studies have focused on storage structure of services and their conflict detection algorithms [9]- [11]. Petri net-related technologies are widely used in rule verification and fault detection based on expert systems.…”

Section: Related Workmentioning

confidence: 99%

Conflict Detection Scheme Based on Formal Rule Model for Smart Building Systems

Sun

Wang

Luo

et al. 2015

IEEE Trans. Human-Mach. Syst.

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Smart building systems can provide flexible and configurational sensing and controlling operations according to users' requirements. As the number and the complexity of service rules customized by users have significantly increased, there is an increasing danger of conflict during the interaction process between users and the system. To address this issue, we propose a new rule conflict detection scheme tailored for the smart building system. First, we present a formal rule model UTEA based on User, Triggers, Environment entities, and Actuators. This model can handle not only controlled devices with discrete status but also real-valued environmental data such as temperature and humidity. In addition, this model takes multiple users with different authorities into account. Second, we define 11 rule relations and further classify conflicts into five categories. Third, we implement a rule storage system for detecting conflicts and design a conflict detection algorithm, which can detect the conflict between two rules as well as cycle conflict/multicross contradiction among multiple rules. We evaluated our scheme in a real smart building system with more than 30 000 service rules. The experiment results show that our scheme improves the performance in terms of error/misseddetection rates and running time.Index Terms-Conflict detection, rule model, service, smart building system.

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A mechanism of ontology-based rule management for smart building energy saving service

Cited by 7 publications

References 4 publications

Integration of Renewable Energy Technologies in Smart Building Design for Enhanced Energy Efficiency and Self-Sufficiency

Integration of Renewable Energy Technologies in Smart Building Design for Enhanced Energy Efficiency and Self-Sufficiency

Energy performance optimization in buildings: A review on semantic interoperability, fault detection, and predictive control

Conflict Detection Scheme Based on Formal Rule Model for Smart Building Systems

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