Supervisory and Energy Management System of large public buildings

To meet environmental-friendly requirements, Building Energy Management Systems (BEMS) is required for energy consumption monitoring and management. A new energy reducing strategy based on BEMS is proposed in this paper. First, the concept of BEMS monitoring is presented and the communication protocol of BEMS is discussed. Then, implicit occupancy detection method is used to calculate the number of people in the building. This method, which is largely based on existing IT infrastructure that already installed for non-energy purpose, can gather data inexpensively and has a high accuracy compared with traditional method. Finally, the strategy for energy reducing is proposed based on the occupancy data. Building electric devices like HVAC, lighting are monitored and controlled to improve building functionality and reduce energy. Simulation based on MATLAB is carried out to test the implicit occupancy method and energy control strategy. The result shows that the methods have a significant effect on reducing the energy consumption of the building.

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“…This part of operation is called monitoring. The goals of BEMS monitoring is basically illuminated by the following four parts [1]:…”

Section: Bems Monitoringmentioning

confidence: 99%

Smart building energy management based on network occupancy sensing

Jin

Wang

Song

et al. 2018

Journal of International Council on Electrical Engineering

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“…4) based on the system goals and functionalities [14]. Due the architectural layers, we identify three dimensions which may increase the latency between data gathering and the presentation of the produced information.…”

Section: Energy Management Systemsmentioning

confidence: 99%

“…Moreover, all literature reviewed by us [14], [16], [17] point out the usage of a DBMS as the standard way to manage, process, and query collected data in EMSs. Therefore, at the best of our knowledge, there is no EMS solution based on a DSMS approach.…”

Section: Energy Management Systemsmentioning

confidence: 99%

Real-Time Integration of Building Energy Data

Anjos

Carreira

Francisco

2014

2014 IEEE International Congress on Big Data

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Abstract-An Energy Management System (EMS) is a monitoring tool that tracks buildings energy consumption with the purpose of enhancing energy efficiency, by identifying savings opportunities and misuse situations. To achieve this, EMSs collect data flowsdata streams-from a network of energy meters and sensors, which are then combined into useful information. Data must be processed in real-time, to support a timely decision making process. I. IntroductionBuildings account for 40% of energy consumption, ahead of other sectors, such as industry or transportation [1]. Therefore, small improvements on building energy consumption translate to major savings. Among other ways, energy efficiency in buildings can be achieved through Intelligent Energy Management [2]. This topic refers to monitoring energy consumption, and the careful tracing of energy usage enabling building managers to identify saving opportunities. EMSs continuously monitor the energy consumed in buildings. Consumption related data is evaluated according to several variables such as time, areas and their occupation, equipment state, expected consumption, among others, which determines the building energy usage patterns, providing required information to determine the adjustments towards improving energy usage [3].One fundamental aspect of energy management is timeliness: faster decisions translate to less waste and larger savings. In other words, timely information greatly improves the decision making process [4] since building managers are able to immediately diagnose and promptly respond to anomalous situations. EMSs are real-time decision making applications that require (near) real-time integration of huge quantities of data, wherein each record relates to a very short period [5], thus leading to Big Data challenges: (i) achieve low latency on queries evaluation,

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“…In the US, buildings alone contribute more than one-third of all energy used in the entire country [2]. In China, buildings contribute to 30% of the national energy consumption [3]. In Albania, the same contributes to almost 40% of energy consumed in the entire country [4].…”

Section: Introductionmentioning

confidence: 99%

Investigation for reducing energy consumption for a university campus in Dubai using automation

Berde

Bhavani

2015

2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS)

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Energy saving in buildings is given paramount importance today by governments all over the world because it not only saves money, but also helps protect the natural resources and make a sustainable future for the upcoming generations. Building Management Systems (BMS) have become an integral part of all modern constructions and help in continuous monitoring of physical conditions of a building so as to effectively maximize occupant comfort with minimal energy consumption. The main essence of creating energy savings is consuming only the energy that one actually needs, and keeping the equipment turned off when not required. In the Lighting arena, there is a profound interest in implementing LEDs rather than incandescent bulbs or fluorescent lights for general illumination due to the potential they offer for superior energy saving, environmental friendliness and new opportunities in lighting design. This paper aims to highlight the advantages of Automation and its energy saving potential for a University campus in Dubai, United Arab Emirates treating this as a case study. The paper describes how a HVAC savings potential of 15.60% could be achieved with 20.58 months as the payback period. Similar results were obtained for retrofitting the University Campus with LEDs, replacing the fluorescent lighting with efficient LEDs. Also, the function of lighting energy costs with respect to varying electricity tariffs has also been plotted. Thus the paper advocates the necessity of Automation and energy saving strategies for a sustainable future.

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Supervisory and Energy Management System of large public buildings

Cited by 23 publications

References 4 publications

Smart building energy management based on network occupancy sensing

Smart building energy management based on network occupancy sensing

Real-Time Integration of Building Energy Data

Investigation for reducing energy consumption for a university campus in Dubai using automation

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