The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Design of IoT-based Energy Monitoring System for Residential Building

IoT 기반 주택형 건물 에너지 모니터링 시스템 설계

  • 이민구 (한국전자기술연구원) ;
  • 정경권 (동신대학교 사물인터넷학과)
  • Received : 2021.10.27
  • Accepted : 2021.12.17
  • Published : 2021.12.31
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Abstract

Recently, energy resource management is a major concern around the world. Energy management activities minimize environmental impacts of the energy production. This paper presents design and prototyping of a home electric energy monitoring system that provides residential consumers with real time information about their electricity use. The developed system is composed of an in-house sensing system and a server system. The in-home sensing system is a set of wireless smart plug which have an AC power socket, a relay to switch the socket ON/OFF, a CT sensor to sense current of load appliance and a Kmote. The Kmote is a wireless communication interface based on TinyOS. Each sensing node sends its detection signal to a home gateway via wireless link. The home gateway stores the received signals into a remote database. The server system is composed of a database server and a web server, which provides web-based monitoring system to residential consumers. We analyzed and presented energy consumption data from electrical appliances for 3 months in home. The experimental results show the promising possibilities to estimate the energy consumption patterns and the current status.

최근 에너지 자원관리는 전 세계적인 주요 관심사이다. 에너지원 생산의 한계 조건 속에서, 효과적인 에너지 관리 활동은 에너지 수요 및 생산을 최소화하고 이는 환경이 미치는 영향을 최소화할 수 있다. 본 논문은 주거형 건물에서 에너지 소비자에게 전기 사용에 대한 실시간 정보를 제공할 수 있는 가정용 전기에너지 모니터링 시스템의 프로토타입 설계를 제안하고자 한다. 제안된 시스템은 자체 개발된 센싱 시스템, 데이터처리시스템, 원격 모니터링 서버 시스템으로 구성된다. 주거형 건물내에 설치 적용된 센싱 시스템은 전원 공급을 제어하는 릴레이, 부하 전기기기의 전류를 감지하는 CT센서, Kmote로 구성된 무선 스마트 플러그로 구성된다. 공동/단독 주거형 건물에서 3개월 동안의 가전제품별 에너지 소비량 데이터를 분석하여 제시하였으며, 실험결과는 에너지 소비 패턴과 현황을 추정할 수 있는 가능성을 확인하여 제시하고 있다.

Keywords

Acknowledgement

본 연구는 2021년도 산업통상자원부의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구과제입니다. (No. 20212020900380)

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