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Smart energy technologies, services, and business models are being developed to reduce energy consumption and emissions of CO2 and greenhouse gases and to build a sustainable environment. Renewable energy is being actively developed throughout the world, and many intelligent service models related to renewable energy are being proposed. One of the representative service models is the energy prosumer. Through energy trading, the demand for renewable energy and distributed power is efficiently managed, and insufficient energy is covered through energy transaction. Moreover, various incentives can be provided, such as reduced electricity bills. However, despite such a smart service, the energy prosumer model is difficult to expand into a practical business model for application in real life. This is because the production price of renewable energy is higher than that of the actual grid, and it is difficult to accurately set the selling price, restricting the formation of the actual market between sellers and consumers. To solve this problem, this paper proposes a small-scale energy transaction model between a seller and a buyer on a peer-to-peer (P2P) basis. This model employs a virtual prosumer management system that utilizes the existing grid and realizes the power system in real time without using an energy storage system (ESS). Thus, the profits of sellers and consumers of energy transactions are maximized with an improved return on investment (ROI), and an intelligent demand management system can be established.
Sanguk Park; Keonhee Cho; Seunghwan Kim; Guwon Yoon; Myeong-In Choi; Sangmin Park; Sehyun Park. Distributed Energy IoT-Based Real-Time Virtual Energy Prosumer Business Model for Distributed Power Resource. Sensors 2021, 21, 4533 .
AMA StyleSanguk Park, Keonhee Cho, Seunghwan Kim, Guwon Yoon, Myeong-In Choi, Sangmin Park, Sehyun Park. Distributed Energy IoT-Based Real-Time Virtual Energy Prosumer Business Model for Distributed Power Resource. Sensors. 2021; 21 (13):4533.
Chicago/Turabian StyleSanguk Park; Keonhee Cho; Seunghwan Kim; Guwon Yoon; Myeong-In Choi; Sangmin Park; Sehyun Park. 2021. "Distributed Energy IoT-Based Real-Time Virtual Energy Prosumer Business Model for Distributed Power Resource." Sensors 21, no. 13: 4533.
Currently, many intelligent building energy management systems (BEMSs) are emerging for saving energy in new and existing buildings and realizing a sustainable society worldwide. However, installing an intelligent BEMS in existing buildings does not realize an innovative and advanced society because it only involves simple equipment replacement (i.e., replacement of old equipment or LED (Light Emitting Diode) lamps) and energy savings based on a stand-alone system. Therefore, artificial intelligence (AI) is applied to a BEMS to implement intelligent energy optimization based on the latest ICT (Information and Communications Technologies) technology. AI can analyze energy usage data, predict future energy requirements, and establish an appropriate energy saving policy. In this paper, we present a dynamic heating, ventilation, and air conditioning (HVAC) scheduling method that collects, analyzes, and infers energy usage data to intelligently save energy in buildings based on reinforcement learning (RL). In this regard, a hotel is used as the testbed in this study. The proposed method collects, analyzes, and infers IoT data from a building to provide an energy saving policy to realize a futuristic HVAC (heating system) system based on RL. Through this process, a purpose-oriented energy saving methodology to achieve energy saving goals is proposed.
Sanguk Park; Sangmin Park; Myeong-In Choi; Sanghoon Lee; Tacklim Lee; Seunghwan Kim; Keonhee Cho; Sehyun Park. Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization. Sensors 2020, 20, 4918 .
AMA StyleSanguk Park, Sangmin Park, Myeong-In Choi, Sanghoon Lee, Tacklim Lee, Seunghwan Kim, Keonhee Cho, Sehyun Park. Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization. Sensors. 2020; 20 (17):4918.
Chicago/Turabian StyleSanguk Park; Sangmin Park; Myeong-In Choi; Sanghoon Lee; Tacklim Lee; Seunghwan Kim; Keonhee Cho; Sehyun Park. 2020. "Reinforcement Learning-Based BEMS Architecture for Energy Usage Optimization." Sensors 20, no. 17: 4918.
To build sustainable smart energy cities (SECs) around the world, many countries are now combining customized services and businesses within their energy infrastructure and urban environments. Such changes could then promote the development of platforms that ultimately provide benefits for citizens such as convenience, safety, and cost savings. Currently, the development of technologies for SECs focuses on independent products and unit technology. However, this is problematic, as it may not be possible to develop sustainable cities if there is a lack of connectivity between various elements within the SEC. To solve such problems, this paper presents an AI-based physical and virtual platform using a 5-layer architecture to develop a sustainable smart energy city (SSEC). The architecture employs both a top-down and bottom-up approach and the links between each energy element in the SSEC can readily be analyzed. The economic analysis based on return on investment (ROI) is carried out by comparing the economic benefits before and after the application of this system. Deploying the proposed platform will enable the speedy development and application of new services for SSECs and will provide SSECs with measures to ensure sustainable development, such as rapid urban development, and cost reductions.
Sanguk Park; Sanghoon Lee; Sangmin Park; Sehyun Park. AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development. Sustainability 2019, 11, 4479 .
AMA StyleSanguk Park, Sanghoon Lee, Sangmin Park, Sehyun Park. AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development. Sustainability. 2019; 11 (16):4479.
Chicago/Turabian StyleSanguk Park; Sanghoon Lee; Sangmin Park; Sehyun Park. 2019. "AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development." Sustainability 11, no. 16: 4479.
Recently, fire accidents in buildings have become bigger around the world, and it has become necessary to build an efficient building disaster management system suitable for fires in a Smart City. As building fires increase the number of casualties and property damage, it is necessary to take appropriate action accordingly. There has been an increasing effort to develop such disaster management systems worldwide by applying information communication technology (ICT), and many studies have been conducted in practice. In this paper, an augmented reality (AR)-based Smart Building and Town Disaster Management System is suggested in order to acquire visibility and to grasp occupants in case of fire disasters in buildings. This system provides visualization information and optimal guide for quick initial response by utilizing smart element AR-based disaster management service through linkage of physical virtual domain in the building. Additionally, we show a scenario flow chart of the fire extinguishment process according to the time from the ignition stage to the extinguishment stage in the building. Finally, we introduce the related sensors, the actuators, and a small test-bed for AR-based disaster management service. This test-bed was designed for interlocking and interoperability test of the system between the sensors and the actuators. It is expected that the proposed system can provide a quick and safe rescue guideline to the occupants and rescuers in the building where fire is generated and in regions of poor visibility.
Sangmin Park; Soung Hoan Park; Lee Won Park; Sanguk Park; Sanghoon Lee; Tacklim Lee; Sang Hyeon Lee; Hyeonwoo Jang; Seung Min Kim; Hangbae Chang; Sehyun Park. Design and Implementation of a Smart IoT Based Building and Town Disaster Management System in Smart City Infrastructure. Applied Sciences 2018, 8, 2239 .
AMA StyleSangmin Park, Soung Hoan Park, Lee Won Park, Sanguk Park, Sanghoon Lee, Tacklim Lee, Sang Hyeon Lee, Hyeonwoo Jang, Seung Min Kim, Hangbae Chang, Sehyun Park. Design and Implementation of a Smart IoT Based Building and Town Disaster Management System in Smart City Infrastructure. Applied Sciences. 2018; 8 (11):2239.
Chicago/Turabian StyleSangmin Park; Soung Hoan Park; Lee Won Park; Sanguk Park; Sanghoon Lee; Tacklim Lee; Sang Hyeon Lee; Hyeonwoo Jang; Seung Min Kim; Hangbae Chang; Sehyun Park. 2018. "Design and Implementation of a Smart IoT Based Building and Town Disaster Management System in Smart City Infrastructure." Applied Sciences 8, no. 11: 2239.
Sanguk Park; Byeongkwan Kang; Myeong-In Choi; Seonki Jeon; Sehyun Park. A micro-distributed ESS-based smart LED streetlight system for intelligent demand management of the micro grid. Sustainable Cities and Society 2018, 39, 801 -813.
AMA StyleSanguk Park, Byeongkwan Kang, Myeong-In Choi, Seonki Jeon, Sehyun Park. A micro-distributed ESS-based smart LED streetlight system for intelligent demand management of the micro grid. Sustainable Cities and Society. 2018; 39 ():801-813.
Chicago/Turabian StyleSanguk Park; Byeongkwan Kang; Myeong-In Choi; Seonki Jeon; Sehyun Park. 2018. "A micro-distributed ESS-based smart LED streetlight system for intelligent demand management of the micro grid." Sustainable Cities and Society 39, no. : 801-813.
Recent advances in networking and communications removed the restrictions of time and space in information services. Context-aware service systems can support the predefined services in accordance with user requests regardless of time and space. However, due to their architectural limitations, the recent systems are not so flexible to provide device-independent services by multiple service providers. Recently, researchers have focused on a new service paradigm characterized by high mobility, service continuity, and green characteristics. In line with these efforts, improved context-aware service platforms have been suggested to make the platform possible to manage the contexts to provide the adaptive services for multi-user and locations. However, this platform can only support limited continuity and mobility. In other words, the existing system cannot support seamless service provision among different service providers with respect to the changes of mobility, situation, device, and network. Furthermore, the existing context-aware service platform is significant reliance on always-on infrastructure, which leads to great amounts of energy consumption inevitably. Therefore, we subsequently propose a new concept of context-aware networking and communications, namely a zone-aware service platform. The proposed platform autonomously reconfigures the infrastructure and maintains a service session interacting with the middleware to support cost- and energy-efficient pervasive services for smart-home sustainability.
Jinsung Byun; Sanguk Park; Keonhee Cho; Sehyun Park. Zone-Aware Service Platform: A New Concept of Context-Aware Networking and Communications for Smart-Home Sustainability. Sustainability 2018, 10, 266 .
AMA StyleJinsung Byun, Sanguk Park, Keonhee Cho, Sehyun Park. Zone-Aware Service Platform: A New Concept of Context-Aware Networking and Communications for Smart-Home Sustainability. Sustainability. 2018; 10 (1):266.
Chicago/Turabian StyleJinsung Byun; Sanguk Park; Keonhee Cho; Sehyun Park. 2018. "Zone-Aware Service Platform: A New Concept of Context-Aware Networking and Communications for Smart-Home Sustainability." Sustainability 10, no. 1: 266.
In the changing environment of the Internet of Things, optimal energy management in smart spaces requires intelligent and reliable energy-aware-based context sensing and technologies that are capable of recognizing and analyzing the big-data user pattern. In this article, we propose an intelligent and reliable standby power management system. The system uses physical and virtual user behavioral pattern analysis based on energy-aware management to cut-off the standby power of office appliances in the office environment. We propose a two-step priority power-aware method. The first step entails physical perception and management that controls devices through user recognition and device relationship scenarios. The second step is virtual perception and management that controls the standby power by collecting user behavioral patterns and performs an analysis based on a rule mechanism. The proposed system was applied to three locations (offices A, B, and C) in the university test-bed. Power consumption was reduced to 23% of the original consumption through the elimination of unnecessary standby power consumption.
Sanguk Park; Sangmin Park; Byeongkwan Kang; Myeong-In Choi; Keon-Hee Cho; Sehyun Park. Design and implementation of an office standby–power management system through physical and virtual management by user–device habitual pattern analysis in energy–Internet of Things environments. International Journal of Distributed Sensor Networks 2016, 12, 1 .
AMA StyleSanguk Park, Sangmin Park, Byeongkwan Kang, Myeong-In Choi, Keon-Hee Cho, Sehyun Park. Design and implementation of an office standby–power management system through physical and virtual management by user–device habitual pattern analysis in energy–Internet of Things environments. International Journal of Distributed Sensor Networks. 2016; 12 (10):1.
Chicago/Turabian StyleSanguk Park; Sangmin Park; Byeongkwan Kang; Myeong-In Choi; Keon-Hee Cho; Sehyun Park. 2016. "Design and implementation of an office standby–power management system through physical and virtual management by user–device habitual pattern analysis in energy–Internet of Things environments." International Journal of Distributed Sensor Networks 12, no. 10: 1.
In the coming Internet of Things era, billions of users and devices will be connected to the Internet; this will lead beyond the era of super-connection to the era of super-fusion. In this era, it is more important than ever to design a highly scalable Internet of Things infrastructure by mass customization for cost-effective production of exponentially increasing numbers of Internet of Things systems to provide more intelligent service in smart spaces. The purpose of this article is the design of mass-customization-based Internet of Things system through three-level analysis of the building; it proposes a new concept of a systematic design for providing economical Internet of Things systems for intelligent service in smart building spaces through three-level analysis comprising environmental-, service-, and functional-level analyses.
Sanguk Park; Sangmin Park; Jinsung Byun; Sehyun Park. Design of a mass-customization-based cost-effective Internet of Things sensor system in smart building spaces. International Journal of Distributed Sensor Networks 2016, 12, 1 .
AMA StyleSanguk Park, Sangmin Park, Jinsung Byun, Sehyun Park. Design of a mass-customization-based cost-effective Internet of Things sensor system in smart building spaces. International Journal of Distributed Sensor Networks. 2016; 12 (8):1.
Chicago/Turabian StyleSanguk Park; Sangmin Park; Jinsung Byun; Sehyun Park. 2016. "Design of a mass-customization-based cost-effective Internet of Things sensor system in smart building spaces." International Journal of Distributed Sensor Networks 12, no. 8: 1.
Internet of Things (IoT) is one of the future technology. It is available to provide customized services, such as energy monitoring, healthcare and security. Although IoT devices have many advantages, consumers, who are children, blind and infirm people, are difficult using IoT devices directly. This paper proposes intelligent finger-aware system (IFAS), it provides user-centric service to improve accessibility of IoT devices for weak people.
Tacklim Lee; Sang-Uk Park; Seongman Jang; SooNo Seo; Sehyun Park. Design and implementation of intelligent finger-aware system for user-centric service in IoT environment. 2016 IEEE International Conference on Consumer Electronics (ICCE) 2016, 253 -254.
AMA StyleTacklim Lee, Sang-Uk Park, Seongman Jang, SooNo Seo, Sehyun Park. Design and implementation of intelligent finger-aware system for user-centric service in IoT environment. 2016 IEEE International Conference on Consumer Electronics (ICCE). 2016; ():253-254.
Chicago/Turabian StyleTacklim Lee; Sang-Uk Park; Seongman Jang; SooNo Seo; Sehyun Park. 2016. "Design and implementation of intelligent finger-aware system for user-centric service in IoT environment." 2016 IEEE International Conference on Consumer Electronics (ICCE) , no. : 253-254.
The development of the Internet of Things (IoT) technologies has enabled smart objects to communicate with each other, and various IoT methods and techniques have appeared accordingly. At this point in time, there is a growing need for big data-based energy-IoT technology that can reduce energy consumption. However, despite the emergence of these technologies for IoT, there is still a lack of control systems to surmount the energy efficiency problem of hyperconnected IoT applications. In this paper, we attempt to reduce energy consumption by automatically controlling the communication between each device by establishing three different energy-IoT-based chains regarding the relationship of connections between devices.
Sangmin Park; Sanguk Park; Jinsung Byun; Yeong Yu; Sehyun Park. Design of Building Energy Autonomous Control System with the Intelligent Object Energy Chain Mechanism Based on Energy-IoT. International Journal of Distributed Sensor Networks 2015, 11, 931792:1 -931792:9.
AMA StyleSangmin Park, Sanguk Park, Jinsung Byun, Yeong Yu, Sehyun Park. Design of Building Energy Autonomous Control System with the Intelligent Object Energy Chain Mechanism Based on Energy-IoT. International Journal of Distributed Sensor Networks. 2015; 11 (11):931792:1-931792:9.
Chicago/Turabian StyleSangmin Park; Sanguk Park; Jinsung Byun; Yeong Yu; Sehyun Park. 2015. "Design of Building Energy Autonomous Control System with the Intelligent Object Energy Chain Mechanism Based on Energy-IoT." International Journal of Distributed Sensor Networks 11, no. 11: 931792:1-931792:9.