Implementation of Home Automation System Using OpenHAB Framework for Heterogeneous IoT Devices

Recent years has seen the growth in home automation industry as it becomes more accessible due to the increasing dependence on smartphones and smart devices. Despite this, problems in interoperability still exists due to the absence of standardized protocol in the application layer which prompts the user to be dependent on multiple applications to access and monitor several smart appliances. In this study, a home automation system was implemented using OpenHAB framework that is focused on the integration of different smart devices and back-end technologies. Since most smart devices have different communication protocols, the focus of this work was on the development a smart home solution framework that is modular and flexible. In addition, this smart home framework utilized RESTful protocol to integrate smart devices such as smart bulb, smart plug, smart TV from various manufacturers and utilized MQTT protocol to integrate sensors based on ESP8266 that monitors the ambient condition of the room. Lastly, the study provides a comparative analysis on the developed smart home framework and the commercially available smart home solution by Samsung known as SmartThings. The study considered the comparison of these two frameworks in categories such as user-friendliness, security, and their degree of compatibility with various smart devices

MQTT Based Power Consumption Monitoring with Usage Pattern Visualization Using Uniform Manifold Approximation and Projection for Smart Buildings

The persistent electricity price hikes in the Philippines and the impact of climate change on the country’s energy demands adversely affect the consumer’s finances on a regular basis. These form the foundation for energy efficiency initiatives in building-based electricity consumption. Such initiatives encompass a wide range of innovations from energy generation to real time monitoring; management and control. At its core; this study supplements institutional efforts on energy management through the electricity consumption monitoring system. A non-intrusive data acquisition system that monitors the aggregate electricity consumption and visualizes the appliance usage patterns in a building setting was developed. This Non-Intrusive Load Monitoring (NILM) technique allowed acquisition of data from a single point of measurement using only a single sensor clamped to the main powerline. The acquired data were streamlined to communicate with the IoT OpenHAB framework via Message Queuing Telemetry Transport (MQTT) protocol and were implemented through deployment. Lastly; Uniform ManifoldApproximation and Projection (UMAP) was used for dimension reduction. UMAP was applied to the raw time series data of the aggregate power consumption in order to visualize and determine appliance usage patterns; and effectively label data instances through a scatter plot

MQTT Based Appliance Control and Automation with Room Occupancy Monitoring Using YOLO

Control and automation systems are desired in today’s fast-paced world as they provide users the luxury of accessing and controlling devices remotely and automate their activities to an extent. This eventually produces desired results such as efficient energy and resource management. In this study a control and automation system was developed; specifically a smart air conditioning system guided by room occupancy accounting. The typical architecture of a home automation system was used as the system’s architecture; wherein different inherent and non-inherently smart devices were integrated through the Internet IoT platform OpenHAB and MQTT as communication protocol. The development of this studyserved as demonstration of control and automation systems’ capability to be scaledto larger paradigms such as smart buildings and facilitate efficient energy andresource management on a larger scale

Energy Management for Grid-Tied PV Systems Using Particle Swarm Optimization

The main purpose of an Energy Management System (EMS) is to determine the hourly energy dispatch of the microgrid and the main utility grid. An optimization algorithm is needed in order to minimize the cost of operating the distributed generations in a microgrid. This paper is focused on developing an EMS model that can determine the hourly optimal operating strategies of each distributed generation in the microgrid system with regard to energy cost minimization, system constraints, and better utilization of renewable energy resources through daily load demand. The proposed system utilized Particle Swarm Optimization. Its effectiveness was demonstrated using a full-day load demand profile of a grid-connected microgrid as the case study

Feasibility Study of a Hybrid Renewable Energy System for a Remote Rural Community Using HOMER Pro

As the Philippines strives towards energy security, there remains the concern for reliable and stable electricity in rural areas due to the lack of access to the main grid and the high cost of expansion. Standalone energy systems in rural areas can increase energy security from local renewable sources such as solar, wind, and water resources. This study modeled and designed a hybrid renewable energy system (HRES) in a remote rural community using HOMER Pro simulations. The goal is to assess the feasibility of integrating solar and wind energy resources with the existing micro-hydro power plant to provide 24/7 electricity in the community. A techno-economic assessment and an implementation strategy of the HRES are presented in this paper. Results show that the optimal HRES configuration has an additional cost of energy of PHP 3.98 per kW and includes 84-kW solar PV panels, 84 batteries, and a 27-kW converter. These can be integrated into the existing 10-kW micro-hydro power system. Together with the hardware technical specifications and system configuration, this contribution provides cost calculations, and has identified approaches to add to the overall system\u27s long-term sustainability