A Generic Framework for Predicting Energy Consumption of Public Building

2021 ◽  
pp. 1313-1322
Author(s):  
Jun-Mao Liao ◽  
Hung-Yi Lin ◽  
Luh-Maan Chang
Keyword(s):  
Energy Consumption ◽  
Public Building ◽  
Generic Framework

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.

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.

scholarly journals Optimization of photovoltaic system and technology in view of a load profile: Case of public building in Turkey

2019 ◽  
Vol 23 (6 Part A) ◽  
pp. 3567-3577
Author(s):  
Erdal Yildirim ◽  
Mehmet Aktacir
Keyword(s):  
Energy Consumption ◽  
Electricity Consumption ◽  
Photovoltaic System ◽  
Vocational School ◽  
Optimal Selection ◽  
Battery System ◽  
Public Building ◽  
Photovoltaic Panel ◽  
Daily Energy ◽  
Photovoltaic Technologies

The optimum sizing of photovoltaic technologies depends on certain variables such as the daily energy consumption of buildings and available solar potential of the location. The purpose of this paper is to define the optimum photovoltaic panel area with no battery system to supply the daytime electricity usage of a Vocational School in Sanl?urfa, Turkey. First, the maximum photovoltaic panel areas are found at the 100% self-consumption for the Mono-Si, Multi-Si, and CdTe photovoltaic technologies. Besides, for defining optimum installation powers, an economic analysis has been carried out. The seasonal performances of economical optimum capacities are investigated under the feed-in tariff scenario. At 100% self-consumption, the maximum photovoltaic panel areas are found 130 m2, 160 m2, and 170 m2 for Mono-Si, Multi-Si and CdTe respectively. The results show that the installation of Mono-Si (115 m2), Multi-Si (150 m2), and CdTe (210 m2) photovoltaic systems at 1.65, 1.75, and 2.3 times as the daily peak electricity consumption, is the most optimal selection according to economic indicators.

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