scholarly journals Extracting Influential Factors for Building Energy Consumption via Data Mining Approaches

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8505
Author(s):  
Jihoon Jang ◽  
Jinmog Han ◽  
Min-Hwi Kim ◽  
Deuk-won Kim ◽  
Seung-Bok Leigh
Keyword(s):  
Energy Consumption ◽  
Building Design ◽  
Building Energy ◽  
Area Ratio ◽  
Influential Factors ◽  
Environmental Data ◽  
Building Energy Consumption ◽  
Floor Area ◽  
Floor Area Ratio ◽  
Window Area

To effectively analyze building energy, it is important to utilize the environmental data that influence building energy consumption. This study analyzed outdoor and indoor data collected from buildings to find out the conditions of rooms that had a significant effect on heating and cooling energy consumption. To examine the conditions of the rooms in each building, the energy consumption importance priority was derived using the Gini importance of the random forest algorithm on external and internal environmental data. The conditions that had a significant effect on energy consumption were analyzed to be: (i) conditions related to the building design—wall, floor, and window area ratio, the window-to-wall ratio (WWR), the window-to-floor area ratio (WFR), and the azimuth, and (ii) the internal conditions of the building—the illuminance, occupancy density, plug load, and frequency of room utilization. The room conditions derived through analysis were considered in each sample, and the final influential building energy consumption factors were derived by using them in a decision tree as being the WFR, window area ratio, floor area ratio, wall area ratio, and frequency of use. Furthermore, four room types were classified by combining the room conditions obtained from the key factor classifications derived in this study.

Application of BIM Technology on Energy Efficiency Building Design

2014 ◽  
Vol 587-589 ◽  
pp. 283-286 ◽  
Author(s):  
Mei Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Design Method ◽  
Building Design ◽  
Building Energy ◽  
Information Modeling ◽  
Building Energy Consumption ◽  
Analysis Software ◽  
Building Model

According to the current application situation and domestic energy of our current building energy efficiency design analysis software, in view of the current traditional energy-saving design method can't meet the need of practical problems, put forward the BIM (building information modeling) analysis technology and building energy consumption are combined, anew design method for energy saving building. Application of BIM technology to create virtual building model contains all the information architecture, the virtual building model into the building energy analysis software, identification, automatic conversion and analyzing a large number of construction data information includes in the model, which is convenient to get the building energy consumption analysis.

Building Energy-Saving Measures

2011 ◽  
Vol 374-377 ◽  
pp. 668-671
Author(s):  
Yun Feng Huang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Design ◽  
Careful Analysis ◽  
Building Energy ◽  
Green Energy ◽  
Building Energy Consumption ◽  
Consumption Energy ◽  
Building Energy Saving ◽  
Current Energy

This paper aims to solve the current energy problems. After careful analysis of the building energy consumption, energy saving measures and ways were concluded in the matter of building design, application of green energy and building greening. The result of the study shows that actually integrated application of energy-saving measures will realize energy-saving purposes.

scholarly journals Opportunities of computer-aided building energy consumption design

2016 ◽  
Vol 3 (1-2.) ◽  
Author(s):  
Emese Sarvajcz-Bánóczy ◽  
Péter Tamás Szemes
Keyword(s):  
Energy Consumption ◽  
Building Design ◽  
Building Energy ◽  
Optimization Techniques ◽  
Significant Part ◽  
Building Energy Consumption ◽  
Modelling Method ◽  
Computer Aided

Nowadays a significant part of energy is consumed in buildings. In order to reduce the energy consumption different retrofit technologies are applied. As every building and every energy consumer is different the same modernization technic can not be used for all buildings. This paper shows a computer aided opportunity which is able to simulate different modernization technic for the same building in order to the best opportunity can be selected. The paper highlights the advantages of computeraided building design and the opportunities of optimization techniques in a new under design building case. This paper also contains examples in order to introduce this modelling method.

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.

scholarly journals Impact Analysis of Urban Morphology on Residential District Heat Energy Demand and Microclimate Based on Field Measurement Data

2021 ◽  
Vol 13 (4) ◽  
pp. 2070
Author(s):  
Yanxue Li ◽  
Dawei Wang ◽  
Shanshan Li ◽  
Weijun Gao
Keyword(s):  
Energy Consumption ◽  
Measurement Data ◽  
Energy Performance ◽  
Urban Morphology ◽  
Area Ratio ◽  
Heat Energy ◽  
Space Heating ◽  
Floor Area ◽  
Floor Area Ratio ◽  
Central Heating

In this work, we focus on investigating the relationship between urban morphology parameters and residential building space heating energy performance, comparing microclimate conditions of existing residential blocks with central heating supply. Firstly, a dataset composed of district morphological parameters that measured heat energy consumption was established. Then, effects of morphological indicators including cover ratio, average building height, and floor area ratio on building space heating energy efficiency were assessed specifically. Analysis results show that a larger floor area ratio induced a reduction in heating energy consumption density, the observed effect is notable at an initial increase of floor area ratio. Thirdly, the case study shows that the heating load of residential districts with a high built density is more sensitive to solar radiation. To further assess how and to what extent urban forms alter microclimates, on-site measurement investigated detailed changes in the thermal environment of selected residential districts before and after the operational stage of central heating supply. Analysis results demonstrate that heat energy delivered by a central heating supply could dampen the variations of local outdoor air temperatures, more notable for residential districts with a higher floor area ratio during the night period. Findings from this work would be useful for urban planners considering energy-efficient design practices.

scholarly journals Using Residential and Office Building Archetypes for Energy Efficiency Building Solutions in an Urban Scale: A China Case Study

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3210 ◽  
Author(s):  
Chao Ding ◽  
Nan Zhou
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power Density ◽  
Building Design ◽  
Building Energy ◽  
Building Envelope ◽  
Stochastic Simulations ◽  
Office Building ◽  
Design Parameters ◽  
Building Energy Consumption

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.

scholarly journals AN INVESTIGATION ON RELATIONSHIP BETWEEN ENERGY CONSUMPTION OF HIGH RISE INSTITUTIONAL BUILDINGS AND THE CLIMATE OF DHAKA CITY

2012 ◽  
Vol 12 (1) ◽  
pp. 39-48
Author(s):  
Md. Yousuf Reja ◽  
Amreen Shajahan
Keyword(s):  
Energy Consumption ◽  
Large Scale ◽  
Energy Use ◽  
Meteorological Data ◽  
Building Design ◽  
Building Energy ◽  
Tropical Region ◽  
Dhaka City ◽  
Building Energy Consumption ◽  
Public Buildings

Growth in population, mounting demand for building services and comfort levels, along with the rise in time spent inside buildings, assure the upward trend in energy consumption of large scale public buildings in Dhaka city. For this reason, energy efficiency in buildings is a prime objective today for energy policy at regional, national and international levels. This paper devotes to discuss the holistic utility bills analysis method for investigating and analyzing whole building energy consumption of public buildings with special emphasis on private sector institutions in a tropical region like Dhaka city. Correlations between operational records of energy consumption of three institutional buildings and the meteorological data including monthly mean outdoor dry-bulb temperature (To), and relative humidity (RH) of Dhaka city have been derived. The findings of the study reveals that the overall building energy consumption is highly dependent on climate, building design characteristics including internal layout, orientation, fenestration and site configurations, and ownership. The analysis of such kind of model is especially useful for building managers and owners to track energy use during preretrofit and post-retrofit periods and to reduce building operational costs in the tropical region. Keywords: Energy consumption, Institutional buildings, Utility bills, Heat gain, Meteorological data.

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