High resolution energy simulations at city scale

Wei Tian, Adam Rysanek, Ruchi Choudhary, Yeonsook Heo

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

The use of transient computer simulations (e.g. TRNSYS, EnergyPlus) for quantifying energy use of individual buildings is now standard in both research and industry. However, their use has been computationally prohibitive at larger scales, in the context of thousands or millions of buildings. Furthermore, physical and thermodynamic properties of buildings are often hard to translate into energy models at urban scale. As a result, city-scale analyses of the built environment, even when bottom-up, have to neglect or simplify dynamic and transient features of buildings. Yet, it is often that time-varying features (concurrence of peak energy demand) and dynamically interacting components (diurnal heat storage) yield the most economically achievable energy efficiencies. This paper describes an automated process of extracting information from high-resolution mapping databases to derive individual building gemeotries for energy modelling. Ongoing work constitutes refinement of model parameters and design of validation for such city- scale models.

Original languageEnglish
Pages239-246
Number of pages8
Publication statusPublished - 2015 Jan 1
Externally publishedYes
Event14th Conference of International Building Performance Simulation Association, BS 2015 - Hyderabad, India
Duration: 2015 Dec 72015 Dec 9

Conference

Conference14th Conference of International Building Performance Simulation Association, BS 2015
CountryIndia
CityHyderabad
Period15/12/715/12/9

Fingerprint

High Resolution
Energy
Simulation
Concurrence
Heat storage
Energy Model
Thermodynamic Properties
Bottom-up
Energy Efficiency
Physical property
Energy efficiency
Time-varying
Simplify
Refinement
Computer Simulation
Thermodynamic properties
Physical properties
Heat
Industry
Buildings

ASJC Scopus subject areas

  • Computer Science Applications
  • Architecture
  • Modelling and Simulation
  • Building and Construction

Cite this

Tian, W., Rysanek, A., Choudhary, R., & Heo, Y. (2015). High resolution energy simulations at city scale. 239-246. Paper presented at 14th Conference of International Building Performance Simulation Association, BS 2015, Hyderabad, India.

High resolution energy simulations at city scale. / Tian, Wei; Rysanek, Adam; Choudhary, Ruchi; Heo, Yeonsook.

2015. 239-246 Paper presented at 14th Conference of International Building Performance Simulation Association, BS 2015, Hyderabad, India.

Research output: Contribution to conferencePaper

Tian, W, Rysanek, A, Choudhary, R & Heo, Y 2015, 'High resolution energy simulations at city scale', Paper presented at 14th Conference of International Building Performance Simulation Association, BS 2015, Hyderabad, India, 15/12/7 - 15/12/9 pp. 239-246.
Tian W, Rysanek A, Choudhary R, Heo Y. High resolution energy simulations at city scale. 2015. Paper presented at 14th Conference of International Building Performance Simulation Association, BS 2015, Hyderabad, India.
Tian, Wei ; Rysanek, Adam ; Choudhary, Ruchi ; Heo, Yeonsook. / High resolution energy simulations at city scale. Paper presented at 14th Conference of International Building Performance Simulation Association, BS 2015, Hyderabad, India.8 p.
@conference{a0108185acbd48d7b8cfd95e5627f7e2,
title = "High resolution energy simulations at city scale",
abstract = "The use of transient computer simulations (e.g. TRNSYS, EnergyPlus) for quantifying energy use of individual buildings is now standard in both research and industry. However, their use has been computationally prohibitive at larger scales, in the context of thousands or millions of buildings. Furthermore, physical and thermodynamic properties of buildings are often hard to translate into energy models at urban scale. As a result, city-scale analyses of the built environment, even when bottom-up, have to neglect or simplify dynamic and transient features of buildings. Yet, it is often that time-varying features (concurrence of peak energy demand) and dynamically interacting components (diurnal heat storage) yield the most economically achievable energy efficiencies. This paper describes an automated process of extracting information from high-resolution mapping databases to derive individual building gemeotries for energy modelling. Ongoing work constitutes refinement of model parameters and design of validation for such city- scale models.",
author = "Wei Tian and Adam Rysanek and Ruchi Choudhary and Yeonsook Heo",
year = "2015",
month = "1",
day = "1",
language = "English",
pages = "239--246",
note = "14th Conference of International Building Performance Simulation Association, BS 2015 ; Conference date: 07-12-2015 Through 09-12-2015",

}

TY - CONF

T1 - High resolution energy simulations at city scale

AU - Tian, Wei

AU - Rysanek, Adam

AU - Choudhary, Ruchi

AU - Heo, Yeonsook

PY - 2015/1/1

Y1 - 2015/1/1

N2 - The use of transient computer simulations (e.g. TRNSYS, EnergyPlus) for quantifying energy use of individual buildings is now standard in both research and industry. However, their use has been computationally prohibitive at larger scales, in the context of thousands or millions of buildings. Furthermore, physical and thermodynamic properties of buildings are often hard to translate into energy models at urban scale. As a result, city-scale analyses of the built environment, even when bottom-up, have to neglect or simplify dynamic and transient features of buildings. Yet, it is often that time-varying features (concurrence of peak energy demand) and dynamically interacting components (diurnal heat storage) yield the most economically achievable energy efficiencies. This paper describes an automated process of extracting information from high-resolution mapping databases to derive individual building gemeotries for energy modelling. Ongoing work constitutes refinement of model parameters and design of validation for such city- scale models.

AB - The use of transient computer simulations (e.g. TRNSYS, EnergyPlus) for quantifying energy use of individual buildings is now standard in both research and industry. However, their use has been computationally prohibitive at larger scales, in the context of thousands or millions of buildings. Furthermore, physical and thermodynamic properties of buildings are often hard to translate into energy models at urban scale. As a result, city-scale analyses of the built environment, even when bottom-up, have to neglect or simplify dynamic and transient features of buildings. Yet, it is often that time-varying features (concurrence of peak energy demand) and dynamically interacting components (diurnal heat storage) yield the most economically achievable energy efficiencies. This paper describes an automated process of extracting information from high-resolution mapping databases to derive individual building gemeotries for energy modelling. Ongoing work constitutes refinement of model parameters and design of validation for such city- scale models.

UR - http://www.scopus.com/inward/record.url?scp=84976382435&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84976382435&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84976382435

SP - 239

EP - 246

ER -