Ir directamente a la navegación principal Ir directamente a la búsqueda Ir directamente al contenido principal

Co-simulation of Smart Grids and Homes including Ultra-fast HVAC Models with CTA-2045 Control and Consideration of Thermal Comfort

  • Evan S. Jones
  • , Rosemary E. Alden
  • , Huangjie Gong
  • , Abdullah Al Hadi
  • , Dan M. Ionel

Producción científica: Conference contributionrevisión exhaustiva

6 Citas (Scopus)

Resumen

A novel co-simulation framework was developed and demonstrated through virtual power plant (VPP) simulations that include hundreds of unique building models randomly populated into a modified IEEE 123-bus feeder system. The framework employs ultra-fast models for heating, ventilation, and air-conditioning (HVAC) systems as well as building thermal envelopes that are satisfactorily accurate for both electric power and indoor temperature. The approach circumvents generic control time limits typically in conventional implementations by enabling occupant thermal comfort monitoring. The HVAC and building models contain parameters by which they are characterized as generalized energy storage (GES) systems based on Energy Star definitions. This enables their compatibility with the Consumer Technology Association (CTA) 2045 standard control commands and event types. Example CTA-2045 “shed” events are illustrated to exemplify this feature and to analyze power distribution system effects in terms of power flow and voltages.

Idioma originalEnglish
Título de la publicación alojada2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
ISBN (versión digital)9781728193878
DOI
EstadoPublished - 2022
Evento2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States
Duración: oct 9 2022oct 13 2022

Serie de la publicación

Nombre2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
País/TerritorioUnited States
CiudadDetroit
Período10/9/2210/13/22

Nota bibliográfica

Publisher Copyright:
© 2022 IEEE.

Financiación

The support of the Department of Energy (DOE) through the project DEEE0009021 led by the Electric Power Research Institute (EPRI) is gratefully acknowledged. The support received by Mr. Evan S. Jones through a Department of Education (DoEd) GAANN Fellowship and by Miss Rosemary E. Alden through an NSF Graduate Research Fellowship (NSF) under Grant No. 1839289 is also gratefully acknowledged. Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of DOE, DoEd, and NSF. ∗Huangjie Gong and Abdullah Al Hadi have been with the SPARK Lab at the University of Kentucky and are now with ABB Corporate Research Center, Raleigh, NC, USA and Enginuity Power Systems, Clinton Twp, MI, USA, respectively. The support of the Department of Energy (DOE) through the project DEEE0009021 led by the Electric Power Research Institute (EPRI) is gratefully acknowledged. The support received by Mr. Evan S. Jones through a Department of Education (DoEd) GAANN Fellowship and by Miss Rosemary E. Alden through an NSF Graduate Research Fellowship (NSF) under Grant No. 1839289 is also gratefully acknowledged. Any opinions, findings, and conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of DOE, DoEd, and NSF.

FinanciadoresNúmero del financiador
Enginuity Power Systems, Clinton Twp
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China1839289
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China
U.S. Department of Energy Oak Ridge National Laboratory U.S. Department of Energy National Science Foundation National Energy Research Scientific Computing CenterDEEE0009021
U.S. Department of Energy Oak Ridge National Laboratory U.S. Department of Energy National Science Foundation National Energy Research Scientific Computing Center
U.S. Department of Education, OSERS
Electric Power Research Institute, Louisville Gas & Electric

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. Affordable and clean energy
      Affordable and clean energy

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Mechanical Engineering
    • Safety, Risk, Reliability and Quality
    • Energy Engineering and Power Technology
    • Renewable Energy, Sustainability and the Environment
    • Control and Optimization

    Huella

    Profundice en los temas de investigación de 'Co-simulation of Smart Grids and Homes including Ultra-fast HVAC Models with CTA-2045 Control and Consideration of Thermal Comfort'. En conjunto forman una huella única.

    Citar esto