Dynamic Modeling and Optimal Design for Net Zero Energy Houses including Hybrid Electric and Thermal Energy Storage

  • Huangjie Gong
  • , Vandana Rallabandi
  • , Dan M. Ionel
  • , Donald Colliver
  • , Shaun Duerr
  • , Cristinel Ababei

Producción científica: Articlerevisión exhaustiva

49 Citas (Scopus)

Resumen

Net zero energy (NZE) houses purchase zero net metered electricity from the grid over a year. Technical challenges brought forth by NZE homes are related to the intermittent nature of solar generation, and are due to the fact that peak solar generation and load are not coincident. This leads to a large rate of change of load, and in case of high PV penetration communities, often requires the installation of gas power plants to service this variability. This article proposes a hybrid energy storage system including batteries and a variable power electric water heater which enables the NZE homes to behave like dispatchable generators or loads, thereby reducing the rate of change of the net power flow from the house. A co-simulation framework, INSPIRE+D, which enables the dynamic simulation of electricity usage in a community of NZE homes, and their connection to the grid is enabled. The calculated instantaneous electricity usage is validated through experimental data from a field demonstrator in southern Kentucky. It is demonstrated that when the operation of the proposed hybrid energy storage system is coordinated with solar PV generation, the required size and ratings of the battery would be substantially reduced while still maintaining the same functionality. Methodologies for sizing the battery and solar panels are developed.

Idioma originalEnglish
Número de artículo9066998
Páginas (desde-hasta)4102-4113
Número de páginas12
PublicaciónIEEE Transactions on Industry Applications
Volumen56
N.º4
DOI
EstadoPublished - jul 1 2020

Nota bibliográfica

Publisher Copyright:
© 2020 IEEE.

Financiación

Manuscript received April 30, 2019; revised September 9, 2019 and January 19, 2020; accepted March 3, 2020. Date of publication April 13, 2020; date of current version July 1, 2020. This work was supported in part by the University of Kentucky, in part by the L. Stanley Pigman endowment, in part by the SPARK program, and in part by the Power and Energy Institute of Kentucky. Paper 2019-SECSC-0507.R2, presented at the 2018 IEEE Energy Conversion Congress and Exposition, Portland, OR, USA, Sep. 23–27, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Renewable and Sustainable Energy Conversion Systems Committee of the IEEE Industry Applications Society. (Corresponding author: Huangjie Gong.) Huangjie Gong, Vandana Rallabandi, and Dan M. Ionel are with the Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506 USA (e-mail: [email protected]; [email protected]; [email protected]).

Financiadores
Power and Energy Institute of Kentucky
University of Kentucky

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Industrial and Manufacturing Engineering
    • Electrical and Electronic Engineering

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