Abstract

This work presents the efforts on optimizing energy consumption by deploying an energy management system using the current IoT component/system/platform integration trends through a layered architecture. LoBEMS (LoRa Building and Energy Management System), the proposed platform, was built with the mindset of proving a common platform that would integrate multiple vendor locked-in systems together with custom sensor devices, providing critical data in order to improve overall building efficiency. The actions that led to the energy savings were implemented with a ruleset that would control the already installed air conditioning and lighting control systems. This approach was validated in a kindergarten school during a three-year period, resulting in a publicly available dataset that is useful for future and related research. The sensors that feed environmental data to the custom energy management system are composed by a set of battery operated sensors tied to a System on Chip with a LoRa communication interface. These sensors acquire environmental data such as temperature, humidity, luminosity, air quality but also motion. An already existing energy monitoring solution was also integrated. This flexible approach can easily be deployed to any building facility, including buildings with existing solutions, without requiring any remote automation facilities. The platform includes data visualization templates that create an overall dashboard, allowing management to identify actions that lead to savings using a set of pre-defined actions or even a manual mode if desired. The integration of the multiple systems (air-conditioning, lighting and energy monitoring) is a key differentiator of the proposed solution, especially when the top energy consumers for modern buildings are cooling and heating systems. As an outcome, the evaluation of the proposed platform resulted in a 20% energy saving based on these combined energy saving actions.

Highlights

  • Buildings use electricity as a source of energy in order to provide thermal comfort, lighting, communication, and entertainment to their inhabitants

  • Our system LoBEMS (LoRa Building and Energy Management System) is differentiated from others because we provide 3-year data set in a real scenario implementation using a LoRaWAN implementation, with real-time actions savings based on pre-defined heuristics created from data visualization

  • The developed board (Figure 2a), consists of 4 different types of sensors, temperature/humidity with a DHT22 sensor, light with a photoresistor sensor, motion with a Passive infrared (PIR) sensor and air quality with a MQ-135 sensor suitable for detecting of Ammonia (NH3 ), nitrogen oxide (NOx ), alcohol, Benzene, smoke, Carbon Dioxide (CO2 ), all connected to a SoC powered by a Lithium Polymer battery with a capacity of 2400 mAh and a small solar panel to restore its power over time, since the sensors are configured to send data every 5 min

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Summary

Introduction

Buildings use electricity as a source of energy in order to provide thermal comfort (cooling and heating), lighting, communication, and entertainment to their inhabitants. The IoT economy is growing in all areas with the increasing availability of low cost sensors, research on new transmission solutions introducing longer ranges and improved power management integrated with other platforms, that store, visualize and manipulate the data providing intelligence. Forecasting agencies, such as McKinsey Global predict that this will be a market of $6.3 trillion by. Annual Growth Rate) for 100% or double each year (https://inbuildingtech.com/smart-buildings/loraiot-inbuilding-connectivity/) Considering this scenario and based on previous works [8,9], we developed a low-cost. The platform interacts with existing lighting, heating and cooling systems using infrared

Building and Energy Management System Survey
Energy Reducing Approaches
Remote Actions
Internet of Things Platform Proposal
Physical Layer
Network Layer
Application
Templates for Data Representation
Reports and Heuristics Rules for Saving Actions
Data Visualization Reports
Node-RED
12. Node-RED
Savings Actions Outputs
Savings
Project Costs
Discussion
Findings
Conclusions
Future Work
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