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A Novel Smart Home Energy Management System: Architecture and Optimization Model

Affiliations

  • Faculty of Engineering, Universidad de Sucre, Cra 28 # 5-267, Sincelejo, Colombia

Abstract


Objective: To optimize energy consumption in a home, through a new architecture that incorporates a Home Energy Management System (HEMS) and a decision algorithm that takes into account a mathematical model that includes different automated electronic devices. Methods: We propose a new architecture for a Home Energy Management System (HEMS), which includes a WEB server, interconnection with the different electrical and electronic devices through the Wi- Fi network or Power Line Communications (PLC), and automated electronic devices employing arduinos. Additionally, a mathematical model is proposed to define the decision algorithm, as to which is the best profile or scenario that should be set in the home to minimize the cost of energy. The model takes into account the electricity service rate. Findings: We simulate the proposed model in architecture with 8 electronic devices, evaluating 4 scenarios or user profiles, which take into account the demand of each one, as well as the cost of electric energy in the course of the day. In the software CPLEX, we evaluated the mathematical model and this allowed determining the costs of each scenario, according to the demand in different time slots. The simulation results show that with the proposed architecture and the decision algorithm, fed by the results of the mathematical model, it is possible to minimize the cost of electric power in the home. Application: The proposed architecture can be implemented economically in the home, taking into account user profiles or the season of the year. The model allows minimizing the cost of electrical energy of a house, taking into account the electronic equipment that can be planned and those of continuous operation.

Keywords

Energy Demand, Optimization, Smart Grids, Smart Home, HEMS.

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References


  • Administration USEI. Annual Energy Outlook 2017. 2017. Available from: Crossref
  • Patel JH, Qureshi MN, Darji PH. A review: Utilization of waste energy to improve the efficiency of the systems. Indian J Sci Technol. 2016; 9(38):1–9. Crossref
  • Ranjini A, Zoraida BS. Intelligent residential energy management in smart grid. Indian J Sci Technol. 2016; 9(45):1–8. Crossref
  • Langhammer N, Kays R. Performance evaluation of wireless home automation networks in indoor scenarios. IEEE Trans Smart Grid. 2012 Dec; 3(4):2252–61. Crossref
  • Krishna VVM, Anuradha T. An energy efficient power usage controlling and monitoring using wireless sensor network. Indian J Sci Technol. 2016; 9(17):1–4.
  • Choi CS, Park WK, Han JS, Lee IW. The architecture and implementation of proactive Green Home Energy Management System. 2010 International Conference on Information and Communication Technology Convergence, ICTC 2010; 2010. p. 457–8.
  • D’Alessandro S, Tonello AM, Monacchi A, Elmenreich W. Home energy management systems: Design guidelines for the communication infrastructure. ENERGYCON 2014 IEEE International Energy Conference; 2014. p. 805–12.
  • Redondo, Zurisadai, Lopez RA, Ana Fernandez Vilas RD. Tendencia tecnológica de los sistemas de administración de energía eléctrica en el hogar: Revisión bibliográfica. DYNA Energía y Sostenibilidad. 2016; 5:1–15.
  • Channa A, Shah SMZA, Patoli AA, Memon AR, Teevno MA. A hierarchical approach to home energy management systems. Indian J Sci Technol. 2016; 9(47):1–6. Crossref
  • Bindhu VS, Prabha DMMSR. A survey on control and communication of smart micro grid. Indian J Sci Technol. 2015; 8(25):1–6. Crossref
  • Huang Y, Tian H, Wang L. Demand response for home energy management system. Int J Electr Power Energy Syst. 2015; 73:448–55. Crossref
  • Bae S, Yun JJ. Economic and energy efficient design method for a green wireless telecommunication power system. Indian J Sci Technol. 2015; 8(26):1–6. Crossref

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