scholarly journals Study on enhancing the energy efficiency through real-time smart energy management systems for achieving green ICT campus

2019 ◽  
pp. 329-347
Author(s):  
Kesava Rao Alla ◽  
Zainuddin Hassan ◽  
Soong Der Chen
Keyword(s):  
Energy Efficiency ◽  
Real Time ◽  
Energy Management ◽  
Management Systems ◽  
Energy Management Systems ◽  
Smart Energy Management ◽  
Green Ict

Role of Cyber-Security in Smart Energy Management Systems

2021 ◽  
pp. 1-18
Author(s):  
Sudhakar Ranjan ◽  
Sarim Moin ◽  
Parikshit Vashist ◽  
Abdus Samad Moin Uddin
Keyword(s):  
Energy Management ◽  
Cyber Security ◽  
Management Systems ◽  
Energy Management Systems ◽  
Smart Energy Management

scholarly journals A real-time evaluation of energy management systems for smart hybrid home Microgrids

2017 ◽  
Vol 143 ◽  
pp. 624-633 ◽  
Author(s):  
Mousa Marzband ◽  
Seyedeh Samaneh Ghazimirsaeid ◽  
Hasan Uppal ◽  
Terrence Fernando
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Management Systems ◽  
Energy Management Systems ◽  
Time Evaluation

Sensor-based ambient intelligence for optimal energy efficiency

Sensor Review ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 170-181 ◽  
Author(s):  
David Robinson ◽  
David Adrian Sanders ◽  
Ebrahim Mazharsolook
Keyword(s):  
Energy Efficiency ◽  
Decision Support ◽  
Energy Consumption ◽  
Energy Management ◽  
Research Work ◽  
Management Systems ◽  
Manufacturing Companies ◽  
Content Type ◽  
Energy Management Systems

Purpose – This paper aims to describe research work to create an innovative, and intelligent solution for energy efficiency optimisation. Design/methodology/approach – A novel approach is taken to energy consumption monitoring by using ambient intelligence (AmI), extended data sets and knowledge management (KM) technologies. These are combined to create a decision support system as an innovative add-on to currently used energy management systems. Standard energy consumption data are complemented by information from AmI systems from both environment-ambient and process ambient sources and processed within a service-oriented-architecture-based platform. The new platform allows for building of different energy efficiency software services using measured and processed data. Four were selected for the system prototypes: condition-based energy consumption warning, online diagnostics of energy-related problems, support to manufacturing process lines installation and ramp-up phase, and continuous improvement/optimisation of energy efficiency. Findings – An innovative and intelligent solution for energy efficiency optimisation is demonstrated in two typical manufacturing companies, within one case study. Energy efficiency is improved and the novel approach using AmI with KM technologies is shown to work well as an add-on to currently used energy management systems. Research limitations/implications – The decision support systems are only at the prototype stage. These systems improved on existing energy management systems. The system functionalities have only been trialled in two manufacturing companies (the one case study is described). Practical implications – A decision support system has been created as an innovative add-on to currently used energy management systems and energy efficiency software services are developed as the front end of the system. Energy efficiency is improved. Originality/value – For the first time, research work has moved into industry to optimise energy efficiency using AmI, extended data sets and KM technologies. An AmI monitoring system for energy consumption is presented that is intended for use in manufacturing companies to provide comprehensive information about energy use, and knowledge-based support for improvements in energy efficiency. The services interactively provide suggestions for appropriate actions for energy problem elimination and energy efficiency increase. The system functionalities were trialled in two typical manufacturing companies, within one case study described in the paper.

scholarly journals Implementation of an Energy Management System in Colombian Manufacturing - A Methodological Approach

2021 ◽  
Vol 2 (2) ◽  
pp. 9-14
Author(s):  
Juan David Marín García ◽  
Juan David Marin Jimenez ◽  
Sandra Ximena Carvajal Quintero
Keyword(s):  
Energy Efficiency ◽  
Energy Management ◽  
Industry 4.0 ◽  
Systems Approach ◽  
Methodological Approach ◽  
Management Systems ◽  
Energy Management System ◽  
Advanced Metering Infrastructure ◽  
Energy Management Systems ◽  
Advanced Metering

This paper aims to analyze mechanisms such as the Energy management systems approach in industry 4.0. The paper is a review of techniques for optimizing energy consumption with energy efficiency, advanced metering infrastructure and rational and efficient use of energy to reduce the pollution as well as to strengthen Industry 4.0 models and the monitoring and management opportunities that exist with the implementation of this models in Colombia.

scholarly journals Bio-Inspired Approaches for Smart Energy Management: State of the Art and Challenges

2020 ◽  
Vol 12 (20) ◽  
pp. 8495
Author(s):  
Tri-Hai Nguyen ◽  
Luong Vuong Nguyen ◽  
Jason J. Jung ◽  
Israel Edem Agbehadji ◽  
Samuel Ofori Frimpong ◽  
...  
Keyword(s):  
Energy Management ◽  
Smart Grids ◽  
Optimization Problems ◽  
State Of The Art ◽  
Biological Evolution ◽  
Optimization Methods ◽  
Management Systems ◽  
Collective Behaviors ◽  
Energy Management Systems ◽  
Smart Energy Management

Sustainable energy development consists of design, planning, and control optimization problems that are typically complex and computationally challenging for traditional optimization approaches. However, with developments in artificial intelligence, bio-inspired algorithms mimicking the concepts of biological evolution in nature and collective behaviors in societies of agents have recently become popular and shown potential success for these issues. Therefore, we investigate the latest research on bio-inspired approaches for smart energy management systems in smart homes, smart buildings, and smart grids in this paper. In particular, we give an overview of the well-known and emerging bio-inspired algorithms, including evolutionary-based and swarm-based optimization methods. Then, state-of-the-art studies using bio-inspired techniques for smart energy management systems are presented. Lastly, open challenges and future directions are also addressed to improve research in this field.

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