Cited by 11Building Energy and Comfort OptimizationSmart Grid Energy ManagementIoT-based Smart Home Systems

An Embedded Platform for Testbed Implementation of Multi-Agent System in Building Energy Management System

Open access
Soetedjo, Aryuanto, Nakhoda, Yusuf Ismail, Saleh, Choirul·2019·Energies

Abstract

This paper presents a hardware testbed for testing the building energy management system (BEMS) based-on the multi agent system (MAS). The objective of BEMS is to maximize user comfort while minimizing the energy extracted from the grid. The proposed system implements a multi-objective optimization technique using a genetic algorithm (GA) and the fuzzy logic controller (FLC) to control the room temperature and illumination setpoints. The agents are implemented on the low cost embedded systems equipped with the WiFi communication for communicating between the agents. The photovoltaic (PV)-battery system, the air conditioning system, the lighting system, and the electrical loads are modeled and simulated on the embedded hardware. The popular communication protocols such as Message Queuing Telemetry Transport (MQTT) and Modbus TCP/IP are adopted for integrating the proposed MAS with the existing infrastructures and devices. The experimental results show that the sampling time of the proposed system is 16.50 s. Therefore it is suitable for implementing the BEMS in a real-time where the data are updated in an hourly or minutely basis. Further, the proposed optimization technique shows better results in optimizing the comfort index and the energy extracted from the grid compared to the existing methods.

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Research works printed but not linked: 3

  1. Fourer, R.; Gay, D.M.; Kernighan, B.W. AMPL-A Modeling Language for Mathematical Programming, 2nd ed.; Duxbury Press/Brooks/Cole Publishing Company: Pacific Grove, CA, USA, 2003.
  2. Naito, K.; Mori, K.; Kobayashi, H. Testbed implementation of cloud based energy management system with ZigBee sensor networks. In Proceedings of the International Multi-Conference on Engineering and Technological Innovation, Orlando, FL, USA, 9-13 July 2013.
  3. Thermal Model of a House. Available online: https://fr.mathworks.com/help/simulink/slref/thermal-model- of-a-house.html (accessed on 27 July 2019). Energies 2019, 12, 3655 29 of 29

Cited by

Authors
Soetedjo, A., Nakhoda, Y. I., & Saleh, C.
Affiliations
Institut Teknologi Nasional Malang (ID)
Corresponding author
Soetedjo, Aryuanto
Venue
Energies
Publisher
MDPI AG
Published
2019-09-25
Volume
12
Issue
19
Pages
3655
ISSN
1996-1073 (ISSN-L)
OpenAlex
W2976322392
Cited by
11
References
46
Citations by year
2025: 1 · 2024: 2 · 2022: 3 · 2021: 4 · 2020: 1
FWCI
1.34
Type
journal article
Language
en
Open access
Locations
  • Energies (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Directorate General of Higher Education, Ministry of Research and Technology and Higher 659 Education, Republic of Indonesia (079/SP2H/LT/MONO/L7/2019)
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
Keywords
building energy management systems, multi-agent systems, genetic algorithm, fuzzy logic controller, multi-objective optimization, room temperature control, photovoltaic-battery systems, air conditioning, MQTT, Modbus TCP, user comfort, grid energy consumption

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