An IoT-based energy-management platform for industrial facilities

Wei, Min; Hong, Seung Ho; Alam, Musharraf

doi:10.1016/j.apenergy.2015.11.107

Cited by 110 publications

(46 citation statements)

References 34 publications

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“…Using the result of those equations authors have purposed suitable retro fitment in order to achieve electricity saving. Wei et al (2016) proposed IoT based communication framework is another solution that can be used for managing the electricity consumption. To reduce energy consumption communication between interoperable systems is an important thing.…”

Section: Literature Review and Related Workmentioning

confidence: 99%

Design IoT Based Smart Electricity Power Saving University: Analysis from a Lecture Hall

Vasanthapriyan¹,

Randima²

2019

Journal of Computer Science

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Managing and controlling the electricity consumption in a productive manner is a red hot topic in today's world. Many countries have considered this problem and they have suggested automate systems to overcome this problem. Since, Sri Lankan has not used such kind of automated system to control the electricity power consumption, our system will be a suitable solution for that. Today, IoT is a technological paradigm that is used to build such kind of automates systems. In our proposed system also, IoT and sensor technologies are used. It is a system that responds to human presence and provides related actions according to the human occurrences area environmental condition. It is control the electric devices such as lights, fans and AC in the lecture hall according to temperature and light intensity values that detect by the sensors. We used Kinect sensor to detect human presence. DHT22 and LDR sensors were used respectively to sensor the temperature, humidity and light intensity of human occupant area. Arduino-mega board was used to control the DHT22 and LDR sensors. In the research process we found the comfortable temperature and light intensity values that suitable for lecture hall and used those values to implement the prototype. Also, it provides real-time information such as current environmental condition of specific place and relevant messages including actions that need to take by using website. The main objectives of this research are reduce the wastage of electric power and provide suitable IoT based solution for reduced the electric power consumption.

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Section: Literature Review and Related Workmentioning

confidence: 99%

Design IoT Based Smart Electricity Power Saving University: Analysis from a Lecture Hall

Vasanthapriyan¹,

Randima²

2019

Journal of Computer Science

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“…Effective Big Data solutions, which, on the one hand, create awareness of energy consumption patterns at the production line and machine level and, on the other hand, also support decision-making in identifying the most energy efficient solution, will be essential, as the volume of energy-related data generated in an Industry 4.0 future continues to grow. [44]. Pechmann et al (2017) proposed and validated a methodology for determining the load-shifting potential of small-and medium-sized manufacturing companies (SME), which was validated in a medium-sized manufacturing company specializing in metal processing in Germany.…”

Section: Big Data Based Approachesmentioning

confidence: 99%

Industry 4.0 and Climate Change—Exploring the Science-Policy Gap

2018

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The paper aims to explore the gaps and overlaps between statements of intergovernmental organizations (IGOs) working at the intersection of climate change, sustainable energy, and industrial development regarding the role of Industry 4.0 for climate change mitigation and the scientific literature addressing the energy and resource efficiency of Industry 4.0. To fulfill this objective, we conduct a two-tier review of relevant literature from both IGOs as well as academia. The analysis of documents from IGOs shows that Industry 4.0 is strongly associated with energy efficiency potentials that could contribute to climate change mitigation and more sustainable energy use in the industrial sector. Based on a review of the scientific literature, however, the paper concludes that it is currently not possible to validate this assumption and provide concrete figures since analyses providing a more comprehensive picture of potential energy savings, including possible negative effects and rebounds, are lacking. We suggest that these issues be addressed in further research, e.g., through concrete case studies that go beyond the assessment of single Industry 4.0 technologies. Furthermore, efforts should be strengthened to communicate findings from technology-centered research into political strategy-building and decision-making processes and, at the same time, raise awareness in the technological domain for the information needs of policymakers.

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“…Many industrial communication protocols are available to support Facility Smart Grid Information Model (FSGIM) for energy management in industries and by applying different private protocols will result in poor interoperability. IoT is an alternative tool for operating the devices and it is expected to make the industrial production more intelligent and efficient [8,9]. Energy efficiency is becoming a huge research area and it is expected to achieve 20% savings in energy consumption by the year of 2020.…”

Section: Introductionmentioning

confidence: 99%

Web Architecture for Monitoring Field using Representational State Transfer Methods

Radharamana¹,

Mouli²,

Kumar³

2019

IJIES

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Internet of Things (IoT) provides information services based on daily usage that depend on the sensors of devices and network platform. An increase in the number of connected devices through internet, increases the demand for the number of low-latency services. In this research, Open Cloud Computing Interface (OCCI) technique is used in IoT architecture that helps to encompass application level interface. The OCCI-based architecture is proposed to manage and store the data, by introducing the resource analyzer, edge devices and monitoring manager that helps to transfer the data effectively. The monitoring manager, edge devices and broker schedule the data to minimize the traffic in the IoT. Representational State Transfer (REST) methods using Hyper Text Transfer Protocol (HTTP) for communication are presented in this technique. Simulation result showed the effectiveness of the proposed OCCI architecture. Arduino and Raspberry Pi 3 are the two major hardware used in this technique. The result of the OCCI-based architecture uploaded to the ThingSpeak server, which is the external server. Several parameters such as Temperature, Round Trip Time (RTT), latency, Clock difference and frequency are evaluated in this work. Round Trip Time reduced to 0.96 seconds by reducing the delay in the system.

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An IoT-based energy-management platform for industrial facilities

Cited by 110 publications

References 34 publications

Design IoT Based Smart Electricity Power Saving University: Analysis from a Lecture Hall

Design IoT Based Smart Electricity Power Saving University: Analysis from a Lecture Hall

Industry 4.0 and Climate Change—Exploring the Science-Policy Gap

Web Architecture for Monitoring Field using Representational State Transfer Methods

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