Research on Energy Consumption Quota for Public Buildings in Hebei Province

2013 ◽  
Vol 361-363 ◽  
pp. 231-234
Author(s):  
Shi Long Liu ◽  
Yue Qun Xu ◽  
De Sheng Ju
Keyword(s):  
Energy Consumption ◽  
Building Energy ◽  
Linear Regression Method ◽  
Public Buildings ◽  
Public Building ◽  
Multiple Linear Regression Method ◽  
Energy Auditing ◽  
Building Area ◽  
The Government ◽  
Actual Energy Consumption

Based on 107 data of public building energy auditing and energy consumption statistics, using multiple linear regression method, this paper given an equation for calculating energy public building consumption quota. It can get energy consumption quota simply and conveniently. The equation was close to actual energy consumption of public buildings. It consider building area, heating degree day (HDD) and building type. The results can be help the government formulate the energy consumption quota for public buildings.

Understanding the Importance of Capturing Climate and Occupancy Trends During Concept-Stage Sustainable Building Design

2018 ◽  
Author(s):  
Sean Lin ◽  
Bahaa Albarhami ◽  
Salvador Mayoral ◽  
Joseph Piacenza
Keyword(s):  
Energy Consumption ◽  
Simulation Models ◽  
Building Design ◽  
Building Energy ◽  
Simulation Software ◽  
Phase Iii ◽  
Data Set ◽  
Climate Zones ◽  
Leed Certification ◽  
Actual Energy Consumption

This paper presents a comparison of concept stage computational model predictions to capture how building energy consumption is affected by different climate zones. The California State University, Fullerton (CSUF) Student Housing Phase III, which received a Platinum Leadership in Energy and Environmental Design (LEED) certification for the Building Design and Construction category, and its performance in a LEED California Nonresidential Title 24 (NRT24) and ASHRAE 90.1 climate zones is used as a case study to illustrate the method. Through LEED approved simulation software, the standard compliant energy simulation models are compared to the occupancy scheduled models along with the actual energy consumption in different climate zones. The results provide insight to how variables within student dormitory life affect total building energy usage. Total amount of energy consumed per area is one new factor providing understanding into occupancy trends. This new data set reveals more understanding regarding how and where the energy is consumed to maintain a comfortable learning environment.

scholarly journals Dilution effect of the building area on energy intensity in urban residential buildings

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Jingxin Gao ◽  
Xiaoyang Zhong ◽  
Weiguang Cai ◽  
Hong Ren ◽  
Tengfei Huo ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Intensity ◽  
Energy Savings ◽  
Residential Buildings ◽  
Dilution Effect ◽  
Building Energy ◽  
Residential Energy ◽  
Stirpat Model ◽  
Building Area ◽  
Consumption Energy

Abstract Urban residential buildings make large contributions to energy consumption. Energy consumption per square meter is most widely used to measure energy efficiency in urban residential buildings. This study aims to explore whether it is an appropriate indicator. An extended STIRPAT model was used based on the survey data from 867 households. Here we present that building area per household has a dilution effect on energy consumption per square meter. Neglecting this dilution effect leads to a significant overestimation of the effectiveness of building energy savings standards. Further analysis suggests that the peak of energy consumption per square meter in China’s urban residential buildings occurred in 2012 when accounting for the dilution effect, which is 11 years later than it would have occurred without considering the dilution effect. Overall, overlooking the dilution effect may lead to misleading judgments of crucial energy-saving policy tools, as well as the ongoing trend of residential energy consumption in China.

Optimization of Public Building Energy Design Schemes Base on the Minimizing of Operating Energy Consumption

2012 ◽  
Vol 193-194 ◽  
pp. 21-25
Author(s):  
Min Chen ◽  
Min Jie Pang ◽  
Hong Guang Fang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Design Process ◽  
Building Energy ◽  
Exterior Wall ◽  
Insulation System ◽  
Public Building ◽  
Software Simulation ◽  
The Public ◽  
Building Energy Saving

Firstly, this paper introduced several kinds of frequently-used thermal insulation system, which included exterior wall insulation system, doors and windows insulation system and roof insulation system. Secondly, the principle and method of the consumption simulation of the public buildings are expatiated on, including software simulation principle, design process and the setting of related parameters. Thirdly, taking a public building in Nantong, Jiangsu province as an example, the operating energy consumption of different energy-saving design schemes are simulated with the Tangent Building Energy-saving Computation (TBEC) software, and the energy saving design schemes of the public building are optimized in the view of minimizing the energy consumption. At last some references of public building energy saving design are provided.

Study and Determination of Evaluating Indicator of Public Building Energy Consumption in Hot Summer and Warm Winter Area

2013 ◽  
Vol 838-841 ◽  
pp. 1953-1958
Author(s):  
Hai Li Sun ◽  
Zhi Chao Wang ◽  
Jun Jun Lu
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Saving ◽  
Building Energy ◽  
Shopping Malls ◽  
Total Energy Consumption ◽  
Public Building ◽  
Partial Energy ◽  
Consumption Index

Determination of buildingenergy consumption index is important for building energy saving.This paper simulits energy consumption of fifty public building(incluiding 15 non - government office buildings, 11 government officebuildings, 12 shopping malls, 12 hotel buildings) after abandoning theunreasonable design and operation factors. We can obtain the building total energy consumption index andpartial energy consumption index.Then all types of building energy consumptiondata are processed with the method of mathematical statistics.We can get fourtypes of biuding energy consumption index and partial energy consumptionindex.This study can provide the basis for energy-saving operation andenergy-saving reformation.

scholarly journals Energy indicators for public buildings in autonomous province of Vojvodina with focus on healthcare, educational and administrative buildings

2016 ◽  
Vol 20 (suppl. 2) ◽  
pp. 331-342 ◽  
Author(s):  
Jovan Petrovic ◽  
Milovan Medojevic ◽  
Igor Mujan
Keyword(s):  
Energy Consumption ◽  
Statistical Processing ◽  
Building Sector ◽  
Public Buildings ◽  
Public Building ◽  
The Public ◽  
Current State ◽  
Consumption Data ◽  
Energy Indicators ◽  
Autonomous Province

This paper aims to show the current state of energy consumption and accompanying energy indicators in the public building sector in The Autonomous Province of Vojvodina, Serbia. The public building energy consumption data (healthcare, administration and schools) was collected by surveys supported by on-site measurements, calculations and interviews with people responsible for energy monitoring. Statistical processing of the collected data on the real extent and manner of energy usage in public buildings in Vojvodina was used. This paper presents energy indicators which are on average three times higher than allowed by Serbian Ordinance and what is currently present in neighboring European Countries. It is of the utmost importance to use this data and its implications as a catalyst for the implementation of energy management in the public building sector and an increase in energy efficiency.

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