scholarly journals Energy Analysis of 4625 Office Buildings in South Korea

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1114
Author(s):  
Ki Ahn ◽  
Han Shin ◽  
Cheol Park
Keyword(s):  
Energy Consumption ◽  
South Korea ◽  
Energy Analysis ◽  
Cooling System ◽  
Building Energy ◽  
Office Buildings ◽  
Building Energy Efficiency ◽  
Building Energy Consumption ◽  
Energy Codes ◽  
Building Energy Codes

The purpose of the present study was to investigate the relevance of building thermal performance and characteristics to building energy consumption. This paper reports an energy analysis of 4625 office buildings in Seoul, South Korea, using data from the Korean national building energy database and architectural database. The following four research questions were investigated: (1) Do old buildings consume more energy than new ones? (2) Have strict prescriptive building energy codes contributed to the reduction in energy use intensity (EUI, kWh/m2·year) over the past several decades? (3) What are the characteristics of building energy consumption in terms of season, age, and cooling system (electric chiller vs absorption chiller)? (4) Which factors in the Korean building energy database are relevant to building energy consumption? The analyses revealed that, contrary to common assumptions, new buildings did not always consume less energy than old buildings, and it may be wrong to attribute intensification of prescriptive building energy codes directly to building energy efficiency improvements. In addition, the building characteristics (i.e., district, year built, number of floors, number of elevators, and total floor area) available in the Korean building energy database do not adequately explain building energy consumption, and the existing data collection method needs further improvement.

IDENTIFICATION OF BARRIERS THAT HINDER THE EFFECTIVE IMPLEMENTATION OF BUILDING ENERGY CODES

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Mohammad Danesh Edalat ◽  
Mohammad Mehdi Mortaheb ◽  
Hamed Kashani
Keyword(s):  
Energy Consumption ◽  
Energy Savings ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Building Energy Consumption ◽  
Effective Implementation ◽  
The Past ◽  
Energy Codes ◽  
Energy Efficiency Standards ◽  
Building Energy Codes

In response to the growing energy consumption levels in buildings, many countries have introduced standards and codes aimed at reducing their national building energy consumption and managing the amount of emissions. Title 19 of Iran’s National Building Regulation (NBR) was first introduced in 1991. It was projected that Title 19 can lead to a 30 to 50% reduction in building energy consumption in the country. Nevertheless, evidence suggests that the introduction of Title 19 NBR has not led to substantial saving in building energy consumption. Unlike Title 19 NBR, similar standards in other countries have proven to be very effective in reducing the building energy consumption levels. For instance, it is believed that the implementation of Title 24 of California’s Building Energy Efficiency Standards has led to $66 billion dollars of energy savings over the past 35 years. The objective of this study is to utilize content analysis and experts’ opinion in order to identify and categorize the barriers that hinder the effective implementation of Title 19 NBR in Iran. The contribution of this study to the state of knowledge is the identification of barriers that could hinder the effective implementation of building energy codes.

Tool for Hourly Energy Consumption Estimation in Existing Office Buildings

2014 ◽  
Author(s):  
Nelson Fumo ◽  
Pedro J. Mago ◽  
Emily Ledbury
Keyword(s):  
Energy Consumption ◽  
Cooling System ◽  
Good Practice ◽  
Cost Effective ◽  
Weather Conditions ◽  
Building Energy ◽  
Office Buildings ◽  
Building Energy Consumption ◽  
Energy Profiles ◽  
Building Operation

Building energy consumption analysis is a difficult task because it depends on the characteristics and interaction among the building, the heating/cooling system, and the surroundings. Since the evaluation of building energy consumption usually requires building energy profiles on an hourly basis, which often is not available for existing buildings, the hourly energy consumption must be estimated. The dynamic behavior of the weather conditions and building operation makes computer simulations a good practice for reliable solutions. However, an energy building computer simulation requires a significant amount of experience, time, and effort to enter detailed building parameters, which is a drawback for a cost-effective solution. Therefore, simplified models based on statistics or a combination of statistics and simulations may be a better solution with reasonable uncertainty. This paper presents a tool to estimate hourly building energy consumption for existent office buildings. The proposed tool, developed in Microsoft Excel, uses simulation data from EnergyPlus Commercial Reference Buildings to convert monthly energy consumption from utility bills into hourly energy consumption. Results account for baseline and variable energy consumption for electricity and fuel. The site weather conditions, for which the energy consumption is estimated, are considered using the sixteen climate zones of the U.S.

Tool for Small Office Buildings Energy Consumption Estimation

2010 ◽  
Author(s):  
N. Fumo ◽  
P. J. Mago
Keyword(s):  
Energy Consumption ◽  
Computer Simulations ◽  
Cooling System ◽  
Good Practice ◽  
Cost Effective ◽  
Weather Conditions ◽  
Building Energy ◽  
Office Buildings ◽  
Building Energy Consumption ◽  
The U.S

Building energy consumption analysis is a difficult task because it depends on the characteristics and interaction among the building, the heating/cooling system, and the surroundings (weather). Since building energy profiles are usually required on an hourly basis, which often is not available for existing buildings, the hourly energy consumption must be estimated or predicted. The dynamic behavior of the weather conditions and building operation makes computer simulations a good practice for reliable solutions. However, energy building computer simulations require considerable amount of detailed input data and user time, which is a drawback for a cost-effective solution. Therefore, simplified models based on statistics or a combination of statistics and simulations may be a better solution with reasonable uncertainty. This paper presents the tool Small Office Hourly Energy Consumption Estimator (SOHECE). The tool estimates hourly building energy consumption for small office buildings. The proposed tool has been developed in Microsoft Excel and it uses simulation data from EnergyPlus benchmark models to convert monthly energy consumption from utility bills into hourly energy consumption. Since benchmark models were developed by the U.S. government to provide a consistent baseline of comparison, energy consumption data from simulations of the benchmark models are considered reasonable representations of energy consumption profiles. Results account for baseline and variable energy consumption for electricity and fuel. The site weather conditions, for which the energy consumption is estimated, are considered using the sixteen climate zones of the U.S. benchmark models. The tool has been applied to a hypothetical building placed in Meridian, MS, and errors obtained for the estimated hourly energy consumption are mainly lower than ten percent.

Perception and Management System for Building Energy Consumption Based on Internet of Things Technology

2013 ◽  
Vol 291-294 ◽  
pp. 945-948 ◽  
Author(s):  
Feng Qin Yu ◽  
Bei Tian ◽  
Xin Zhang ◽  
Qiang Wang ◽  
Dan Shi Yu ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Management System ◽  
Building Energy ◽  
Transport Layer ◽  
Building Energy Efficiency ◽  
Building Energy Consumption ◽  
Consumption Data ◽  
Internet Of Things Technology

The building energy consumption is one of three in China's energy consumption, the detection and monitoring for energy consumption of building is the basis for the work of building energy efficiency. This article describes a perception, monitoring and management system of building energy consumption based on Internet of Things technology architecture, in the system, various energy instrumentation is installed inside the building and measurement all kinds of energy consumption data in the perception layer, collection daterminal data connected to the RS485 bus access gateway for data transmission via Ethernet or mobile communication network in the network layer and transport layer, deal with the statistical analysis of the energy consumption data in the application layer. The system has been successfully applied to more than 50 large-scale public building to implement energy consumption monitoring and management, and the support of the underlying data for building energy efficiency.

Research of Building Energy Efficiency Design and Engineering Quality Management System Based on Network

2011 ◽  
Vol 71-78 ◽  
pp. 379-382
Author(s):  
Ling Wang ◽  
Wen Ling Tian ◽  
Ling Ling Fan
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Quality Management ◽  
Management System ◽  
Quality Management System ◽  
System Development ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Building Energy Consumption ◽  
Data Control

Based on the analysis of the trends of building energy consumption and the situation of standard of building energy efficiency, the thought of system development for building energy efficiency design and engineering quality management based on Network is proposed. Data control processes, modules and functions of system is introduced. This system is an opening system; it has better adaptable to change of standards.

The Research on the Influential Factors of Civil Building Energy Consumption in Shaanxi Province

2014 ◽  
Vol 1065-1069 ◽  
pp. 2213-2218
Author(s):  
Wang Zhen
Keyword(s):  
Energy Consumption ◽  
Influence Factors ◽  
Building Energy ◽  
Influential Factors ◽  
Shaanxi Province ◽  
Building Energy Efficiency ◽  
Building Energy Consumption ◽  
Total Energy Consumption ◽  
The Sustainable Development ◽  
Hypothesis Model

Civil building energy consumption is an important part of the social total energy consumption, building energy efficiency has great significance to the sustainable development. This paper through the construction of civil building energy consumption influence factors hypothesis model of civil building energy consumption influence factors are analyzed. The results show that the total population, urban and rural population structure, economic development, the consumption level of residents and the third industry development will promote the civil building energy consumption in Shaanxi Province, while the technological progress is not obvious to reduce the energy consumption of civil building in Shaanxi. On this basis, put forward the energy saving proposal.

Study on the Problems and Solutions of Building Energy Efficiency

2014 ◽  
Vol 525 ◽  
pp. 439-442
Author(s):  
Ling Jiao
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Energy Saving ◽  
Evaluation System ◽  
Green Building ◽  
Building Energy ◽  
Green Energy ◽  
Building Energy Efficiency ◽  
Building Energy Consumption

With the development of economy, the progress of the times, the city continued to expand the scale of construction, building energy consumption is more and more serious, and the green energy-saving buildings are paid more and more attention in society. Building energy efficiency can fundamentally promote the savings and the rational use of energy and resources, Building energy efficiency is the needs to guarantee the sustainable development of national economy. With problems in building energy efficiency as the point of penetration, this paper analyses the present situations of building energy consumption and the major energy-saving issues in China. On the basis, in order to promote the green building of sustainable development, from thinking, evaluation system, design and other aspects some suggestions and measures are proposed .

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