Morphology Parameters Quantitative Research of Multi-storey Office Building Design in Harbin, China

Cheng Sun; Ran Zhang; Meng Zhen

doi:10.1016/j.proeng.2016.10.044

Morphology Parameters Quantitative Research of Multi-storey Office Building Design in Harbin, China

Cheng Sun
, Ran Zhang^*
, Meng Zhen

^*Corresponding author for this work

Harbin institute of technology

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

As the economy grows and urbanization develops in China, the demand for energy is rising in all fields. A large part of energy is contributed to office building energy. Building form design is closely related to energy consumption. This article presents multivariate regression models of office building energy prediction and studies quantitative relationship between morphology parameters and energy consumption combining method of simulation and regression analysis based on each typical model summarised from the sample survey in Harbin, China.

Original language	English
Pages (from-to)	359-366
Number of pages	8
Journal	Procedia Engineering
Volume	169
DOIs	https://doi.org/10.1016/j.proeng.2016.10.044
State	Published - 2016
Externally published	Yes
Event	4th International Conference on Countermeasures to Urban Heat Island, IC2UHI 2016 - , Singapore Duration: 30 May 2016 → 1 Jun 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Morphology Parameters
Office Building
Prediction Models
Regression
Simulation

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10.1016/j.proeng.2016.10.044

Cite this

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title = "Morphology Parameters Quantitative Research of Multi-storey Office Building Design in Harbin, China",

abstract = "As the economy grows and urbanization develops in China, the demand for energy is rising in all fields. A large part of energy is contributed to office building energy. Building form design is closely related to energy consumption. This article presents multivariate regression models of office building energy prediction and studies quantitative relationship between morphology parameters and energy consumption combining method of simulation and regression analysis based on each typical model summarised from the sample survey in Harbin, China.",

keywords = "Morphology Parameters, Office Building, Prediction Models, Regression, Simulation",

author = "Cheng Sun and Ran Zhang and Meng Zhen",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors. Published by Elsevier Ltd.; 4th International Conference on Countermeasures to Urban Heat Island, IC2UHI 2016 ; Conference date: 30-05-2016 Through 01-06-2016",

year = "2016",

doi = "10.1016/j.proeng.2016.10.044",

language = "英语",

volume = "169",

pages = "359--366",

journal = "Procedia Engineering",

issn = "1877-7058",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Morphology Parameters Quantitative Research of Multi-storey Office Building Design in Harbin, China

AU - Sun, Cheng

AU - Zhang, Ran

AU - Zhen, Meng

PY - 2016

Y1 - 2016

N2 - As the economy grows and urbanization develops in China, the demand for energy is rising in all fields. A large part of energy is contributed to office building energy. Building form design is closely related to energy consumption. This article presents multivariate regression models of office building energy prediction and studies quantitative relationship between morphology parameters and energy consumption combining method of simulation and regression analysis based on each typical model summarised from the sample survey in Harbin, China.

AB - As the economy grows and urbanization develops in China, the demand for energy is rising in all fields. A large part of energy is contributed to office building energy. Building form design is closely related to energy consumption. This article presents multivariate regression models of office building energy prediction and studies quantitative relationship between morphology parameters and energy consumption combining method of simulation and regression analysis based on each typical model summarised from the sample survey in Harbin, China.

KW - Morphology Parameters

KW - Office Building

KW - Prediction Models

KW - Regression

KW - Simulation

UR - https://www.scopus.com/pages/publications/85012969544

U2 - 10.1016/j.proeng.2016.10.044

DO - 10.1016/j.proeng.2016.10.044

M3 - 会议文章

AN - SCOPUS:85012969544

SN - 1877-7058

VL - 169

SP - 359

EP - 366

JO - Procedia Engineering

JF - Procedia Engineering

T2 - 4th International Conference on Countermeasures to Urban Heat Island, IC2UHI 2016

Y2 - 30 May 2016 through 1 June 2016

ER -

Morphology Parameters Quantitative Research of Multi-storey Office Building Design in Harbin, China

Abstract

UN SDGs

Keywords

Access to Document

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