Iotivity Cloud-enabled Platform for Energy Management Applications

Mapping Intimacies ◽

10.20944/preprints202111.0162.v1 ◽

2021 ◽

Author(s):

Yann Stephen Mandza

Keyword(s):

Energy Management ◽

Low Cost ◽

Peak Load ◽

Data Communication ◽

Residential Energy ◽

Energy Feedback ◽

Energy Management Systems ◽

Cost Constraints ◽

Home Area ◽

Cloud Technologies

In developing countries today, population growth and the penetration of higher standard of living appliances in homes has resulted in a rapidly increasing residential load. In South Africa, the recent rolling blackouts and electricity price increase only highlighted this reality calling for sustainable measures to reduce the overall consumption and peak load. The dawn of the smart grid concept, embedded systems and ICTs have paved the way to novel HEMS design. In this regard, the Internet of Things (IoT), an enabler for smart and efficient energy management systems is seeing increasing attention for optimizing HEMS design and mitigate its deployment cost constraints. In this work, we propose an IoT platform for residential energy management applications focusing on interoperability, low-cost, technology availability and scalability. We focus on the backend complexities of IoT Home Area Networks (HAN) using the OCF IoTivity-Lite middleware. To augment the quality, servicing and reduce cost and complexities, this work leverages open-source Cloud technologies from Back4App as BaaS to provide consumer and Utilities with a data communication platform within an experimental study illustrating time and space agnostic “mind-changing” energy feedback, Demand Response Management (DRM) and appliance operation control via a HEM App via an Android smartphone.

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IoTivity Cloud-Enabled Platform for Energy Management Applications

IoT ◽

10.3390/iot3010004 ◽

2021 ◽

Vol 3 (1) ◽

pp. 73-90

Author(s):

Yann Stephen Mandza ◽

Atanda Raji

Keyword(s):

Energy Management ◽

Low Cost ◽

Peak Load ◽

Data Communication ◽

Management Systems ◽

Peak Shaving ◽

Energy Management Systems ◽

Cost Constraints ◽

Home Energy Management ◽

Cloud Technologies

In developing countries today, population growth and the penetration of higher standard of living appliances in homes has resulted in a rapidly increasing residential load. In South Africa, the recent rolling blackouts and electricity price increase only highlighted this reality, calling for sustainable measures to reduce overall consumption and peak load. The dawn of the smart grid concept, embedded systems, and ICTs have paved the way for novel Home Energy Management Systems (HEMS) design. In this regard, the Internet of Things (IoT), an enabler for intelligent and efficient energy management systems, is the subject of increasing attention for optimizing HEMS design and mitigating its deployment cost constraints. In this work, we propose an IoT platform for residential energy management applications focusing on interoperability, low cost, technology availability, and scalability. We addressed the backend complexities of IoT Home Area Networks (HAN) using the Open Consortium Foundation (OCF) IoTivity-Lite middleware. To augment the quality, servicing, reduce the cost, and the development complexities, this work leverages open-source cloud technologies from Back4App as Backend-as-a-Service (BaaS) to provide consumers and utilities with a data communication platform within an experimental study illustrating time and space agnostic “mind-changing” energy feedback, Demand Response Management (DRM) under a peak shaving algorithm yielded peak load reduction around 15% of the based load, and appliance operation control using a HEM App via an Android smartphone.

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Smart Home Energy Management System

Handbook of Research on New Solutions and Technologies in Electrical Distribution Networks - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-7998-1230-2.ch011 ◽

2020 ◽

pp. 191-206

Author(s):

Tesfahun Molla

Keyword(s):

Smart Grid ◽

Energy Management ◽

Peak Load ◽

Area Network ◽

Home Gateway ◽

Energy Management Systems ◽

Power Scheduling ◽

Home Energy Management ◽

Home Area ◽

Home Energy Management System

With the development of smart grid technology, residents can schedule their power consumption pattern in their home to minimize electricity expense, reducing peak-to-average ratio (PAR) and peak load demand. The two-way flow of information between electric utilities and consumers in smart grid opened new areas of applications. In this chapter, the general architectures of the home energy management systems (HEMS) are introduced in a home area network (HAN) based on the smart grid scenario. Efficient scheduling methods for home power usage are discussed. The energy management controller (EMC) receives the demand response (DR) information indicating the Time-of use electricity price (TOUP) through the home gateway (HG). With the DR signal, the EMC achieves an optimal power scheduling scheme that can be delivered to each electric appliance by the HG.

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