scholarly journals Intelligent Energy Management System using IoT

Energy management system is the most challenging job in the world. Various factors have an effect on energy management, such as financial, climate. This will limit provisional decision-making. A road map can be obtained from the energy management system for organization, efficiency, sustainability and profitability. Reducing energy losses and saving fuel are some of the energy management system's advantages. In thermal power plant, till date Auxiliary consumption value can be observed and recorded only after 24 hours. By using this project we can obtain Auxiliary consumption value in real time and unnecessary energy consumption can be precisely located and reduced. For this hardware components such as PZEM-004T, Rpi 3b+ and ESP8266 are used. NODE –RED software is used.

2011 ◽  
Vol 22 (1) ◽  
pp. 55-64 ◽  
Author(s):  
Leonardo Setti ◽  
Vincenzo Balzani

2019 ◽  
Vol 11 (17) ◽  
pp. 4587 ◽  
Author(s):  
Vichan Nakthong ◽  
Kuskana Kubaha

The ISO 50001 energy management system (EnMS) standard was published in June 2011 and has been widely adopted by organizations from around the world, including Thailand. From 2014–2017, there was a continuous increase in the number of ISO 50001-certified companies in the East Asia and Pacific regions and, more broadly, the world, although this is not consistent with the number of companies that emerged during this period in Thailand. This information shows that the implementation of energy management in some companies may not be sustainable. This research offers a novel method for assessing the quality of energy management in the form of an energy management system sustainability index (EnMS SI) framework, presenting the economic, organizational, energy performance, and environmental aspects of sustainable energy management. Data collection, from a literature review of related research and the EnMS good practices, was implemented in order to select sustainability indicators and further develop a sustainability index for energy management. The analytic hierarchy process (AHP) and weighted arithmetic mean (WAM) were used to establish an EnMS SI. The study results were then assessed and validated using 31 ISO 50001-certified companies in Thailand. Direct interviews and questionnaires were used to obtain responses from energy management representatives. The studied data indicated that an EnMS SI framework can be used in qualitative analyses to effectively determine the sustainability of an EnMS. Significant sustainability indicators, consisting of continuous benefits, top management commitment, and long-term strategic planning, were found. The results also revealed that the EnMS in Thailand has been significantly economically weak. The EnMS SI framework is a tool for assessing energy management sustainability, which allows for the determination of an organization’s actual strengths and weaknesses. The benefits of this framework include the possibility of determining guidelines for correcting and improving the EnMS to achieve sustainability.


2019 ◽  
Vol 9 (8) ◽  
pp. 1658 ◽  
Author(s):  
Muhammad Kashif Rafique ◽  
Saad Ullah Khan ◽  
Muhammad Saeed Uz Zaman ◽  
Khawaja Khalid Mehmood ◽  
Zunaib Maqsood Haider ◽  
...  

Compelled by environmental and economic reasons and facilitated by modern technological advancements, the share of hybrid energy systems (HES) is increasing at modern smart house (SH) level. This work proposes an intelligent hybrid energy management system (IHEMS) for an SH connected to a power network that allows a bidirectional power flow. The SH has electrical and thermal power loops, and its main components include renewable energy from wind and photovoltaics, electric vehicle (EV), battery energy storage system, a fuel cell which serves as a micro-combined heat and power system, and a boiler. The proposed IHEMS models the components of the SH, defines their constraints, and develops an optimization model based on the real coded genetic algorithm. The key features of the developed IHEMS are highlighted under six simulation cases considering different configurations of the SH components. Moreover, the standard EV charging techniques are compared, and it is observed that the charging method which is flexible in timing and power injection to the EV is best suited for the economic operation of the SH. The simulation results reveal that the proposed IHEMS minimizes the 24-hour operational cost of the SH by optimally scheduling the energy resources and loads.


2012 ◽  
Vol 132 (10) ◽  
pp. 695-697 ◽  
Author(s):  
Hideki HAYASHI ◽  
Yukitoki TSUKAMOTO ◽  
Shouji MOCHIZUKI

2012 ◽  
Vol 132 (10) ◽  
pp. 692-694 ◽  
Author(s):  
Yoshihiro OGITA ◽  
Yutaka IINO ◽  
Hideki HAYASHI

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