Using Residential and Office Building Archetypes for Energy Efficiency Building Solutions in an Urban Scale: A China Case Study
Building energy consumption accounts for 36% of the overall energy end use worldwide and is growing rapidly as developing countries continue to urbanize. Understanding the energy use at urban scale will lay the foundation for identification of energy efficiency opportunities to be deployed at speed....
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Online Access: | https://www.mdpi.com/1996-1073/13/12/3210 |
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doaj-6fe66483a15d436e90501c231cd15b432020-11-25T03:06:03ZengMDPI AGEnergies1996-10732020-06-01133210321010.3390/en13123210Using Residential and Office Building Archetypes for Energy Efficiency Building Solutions in an Urban Scale: A China Case StudyChao Ding0Nan Zhou1Lawrence Berkeley National Laboratory, Berkeley, CA 94709, USALawrence Berkeley National Laboratory, Berkeley, CA 94709, USABuilding energy consumption accounts for 36% of the overall energy end use worldwide and is growing rapidly as developing countries continue to urbanize. Understanding the energy use at urban scale will lay the foundation for identification of energy efficiency opportunities to be deployed at speed. China has almost half of global new constructions and plays an important role in building suitability. However, an open source national building energy consumption database is not available in China. To provide data support for building energy consumptions, this paper used a simulation method to develop an urban building energy consumption database for a pilot city in Wuhan, China. First, residential, small, and large office building archetype energy models were created in EnergyPlus to represent typical building energy consumption in Wuhan. The baseline reference model simulation results were further validated using survey data from the literature. Second, stochastic simulations were conducted to consider different design parameters and occupants’ energy usage intensity scenarios, such as thermal properties of the building envelope, lighting power density, equipment power density, HVAC (heating, ventilation and air conditioning) schedule, etc. A building energy consumption database was generated for typical building archetypes. Third, data-driven regression analysis was conducted to support quick building energy consumption prediction using key high- level building information inputs. Finally, a web-based urban energy platform and an interface were developed to support further third-party application development. The research is expected to provide fast energy efficiency building design solutions for urban planning, new constructions as well as building retrofits.https://www.mdpi.com/1996-1073/13/12/3210urban scalebuilding energy simulationEnergyPlusregressionbuilding archetypes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chao Ding Nan Zhou |
spellingShingle |
Chao Ding Nan Zhou Using Residential and Office Building Archetypes for Energy Efficiency Building Solutions in an Urban Scale: A China Case Study Energies urban scale building energy simulation EnergyPlus regression building archetypes |
author_facet |
Chao Ding Nan Zhou |
author_sort |
Chao Ding |
title |
Using Residential and Office Building Archetypes for Energy Efficiency Building Solutions in an Urban Scale: A China Case Study |
title_short |
Using Residential and Office Building Archetypes for Energy Efficiency Building Solutions in an Urban Scale: A China Case Study |
title_full |
Using Residential and Office Building Archetypes for Energy Efficiency Building Solutions in an Urban Scale: A China Case Study |
title_fullStr |
Using Residential and Office Building Archetypes for Energy Efficiency Building Solutions in an Urban Scale: A China Case Study |
title_full_unstemmed |
Using Residential and Office Building Archetypes for Energy Efficiency Building Solutions in an Urban Scale: A China Case Study |
title_sort |
using residential and office building archetypes for energy efficiency building solutions in an urban scale: a china case study |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2020-06-01 |
description |
Building energy consumption accounts for 36% of the overall energy end use worldwide and is growing rapidly as developing countries continue to urbanize. Understanding the energy use at urban scale will lay the foundation for identification of energy efficiency opportunities to be deployed at speed. China has almost half of global new constructions and plays an important role in building suitability. However, an open source national building energy consumption database is not available in China. To provide data support for building energy consumptions, this paper used a simulation method to develop an urban building energy consumption database for a pilot city in Wuhan, China. First, residential, small, and large office building archetype energy models were created in EnergyPlus to represent typical building energy consumption in Wuhan. The baseline reference model simulation results were further validated using survey data from the literature. Second, stochastic simulations were conducted to consider different design parameters and occupants’ energy usage intensity scenarios, such as thermal properties of the building envelope, lighting power density, equipment power density, HVAC (heating, ventilation and air conditioning) schedule, etc. A building energy consumption database was generated for typical building archetypes. Third, data-driven regression analysis was conducted to support quick building energy consumption prediction using key high- level building information inputs. Finally, a web-based urban energy platform and an interface were developed to support further third-party application development. The research is expected to provide fast energy efficiency building design solutions for urban planning, new constructions as well as building retrofits. |
topic |
urban scale building energy simulation EnergyPlus regression building archetypes |
url |
https://www.mdpi.com/1996-1073/13/12/3210 |
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AT chaoding usingresidentialandofficebuildingarchetypesforenergyefficiencybuildingsolutionsinanurbanscaleachinacasestudy AT nanzhou usingresidentialandofficebuildingarchetypesforenergyefficiencybuildingsolutionsinanurbanscaleachinacasestudy |
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