Design and implementation of building energy management system with quality of experience power scheduling model to prevent the blackout in smart grid network

Delphine,; Jang, Byeong Wook; Shin, Yong Un; Kang, Seong Tae; Choi, Jin Seek

doi:10.1109/icact.2014.6778950

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…It also facilitates the communication between assets such as mobile phone, desktop computer, HVAC, electric vehicle, etc. via wireless or by wire connection [44]. HAN/BAN/IAN is the front line communication system that collects real-time data continuously and the primary media to facilitate the remote control provided by the data management system.…”

Section: A Local Area Networkmentioning

confidence: 99%

Smart Grid communication applications: measurement equipment and networks architecture for data and energy flow

Atmaja

Andriani

Darussalam³

2019

J. Mechatron. Electr. Power Veh. Technol.

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Smart Grid is an advanced two way data and energy flow capable of self-healing, adaptive, resilient, and sustainable with prediction capability of possible fault. This article aimed to disclose Smart Grid communication in a logical way to facilitate the understanding of each component function. The study was focused on the improvement, advantages, common used design, and possible feature of Smart Grid communication components. The results of the study divide the Smart Grid communication application into two main category i.e. measurement equipment and network architecture. Measurement equipment consists of Advance Metering Infrastructure, Phasor Measurement Unit, Intelligent Electronic Devices, and Wide Area Measurement System. The network architecture is divided based on three hierarchies; local area network for 1 to 100 m with 100 kbps data rate, neighbour area network for 100 m to 10 km with 100 Mbps data rate, and wide area network for up to 100 km with 1 Gbps data rate. More information is provided regarding the routing protocol for each network from various available protocols. The final section presents the energy and data flow architecture for Smart Grid implementation based on the measurement equipment and the network suitability. This article is expected to provide a comprehensive guide and comparison surrounding the technologies supporting Smart Grid implementation especially on communication applications.

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Section: A Local Area Networkmentioning

confidence: 99%

Smart Grid communication applications: measurement equipment and networks architecture for data and energy flow

Atmaja

Andriani

Darussalam³

2019

J. Mechatron. Electr. Power Veh. Technol.

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“…In this paper, different proposed BEMSs have been reviewed in which different levels of performance in terms of energy saving and BEE [87][88][89]. Depending on the selected design of BEMS, obtained results can directly get affected.…”

Section: Introductionmentioning

confidence: 99%

Energy Management Systems and Strategies in Buildings Sector: A Scoping Review

et al. 2021

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Energy management systems in buildings (EMSs-in-Bs) play key roles in energy saving and management to which an efficient energy management system in buildings (EMS-in-Bs) design contributes. Different scope-based designs of EMS-in-Bs are reviewed. The objective is to highlight different scope-based designs of EMS-in-Bs in which scopes of reviewed papers aim to implement a function of, for example, "monitor energy performance", "estimate energy-use", or "control energy-use". This paper aims to constitute a comprehensive conception of how efficient such an EMS-in-Bs to perform more than one scope (i.e., function). Meaning, is the proposed EMS-in-Bs able to perform several sequential functions? This paper's contribution is to give a function-focused EMS's review utilizing the scope of reviewed papers. That is, reviewed papers are classified based on the scope/function the selected EMS-in-Bs is designed for. This could help select an EMS-in-Bs to perform certain scope/function(s). Another contribution is that, numerous EMSsin-Bs are reviewed in a classified way so that the most adequate EMS-in-Bs for a certain scenario considering the performed scopes/functions e.g., "monitor" are highlighted. Findings showed that "control-optimize"functioned EMS-in-Bs achieved highest energy-saving rates ~30% compared to "estimate-predict" with 10%. Findings, insights given by reviewed studies, current problems faced, future directions, and remarks are drawn in conclusion. Analysis done on reviewed papers has found that the highest and lowest averagedenergy saving rates were obtained with papers whose their scopes are implementing "control"-with-"optimize" and "estimate"-with-"predict", respectively. Energy saving rates for these two classes of scopes have been equal to 22.57% and 10%, respectively. We recommend that there is a need to enhance the estimation-and prediction-related EMS-in-Bs to achieve a higher energy saving rate.

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