scholarly journals The influence of design features of housing facilities on energy consumption

2020 ◽  
Vol 175 ◽  
pp. 11019
Author(s):  
Sergei Kolodyazhniy ◽  
Valeriy Mishchenko ◽  
Elena Gorbaneva ◽  
Kristina Sevryukova
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Structural Characteristics ◽  
Electricity Consumption ◽  
End User ◽  
Total Energy Consumption ◽  
Apartment Buildings ◽  
Energy Models ◽  
Actual Energy Consumption ◽  
The Impact

This article analyzed the impact of the structural characteristics of old apartment buildings on actual energy consumption. The authors reviewed energy consumption in existing apartment buildings in Voronezh in order to determine the need for major repairs and energy efficiency. For this purpose, a comparative analysis of energy consumption in old apartment buildings and in new ones built in accordance with the current regulations was carried out. Three indicators of energy consumption were considered for analysis: total energy consumption by the end-user, heating of premises and electricity consumption depending on the year of construction of apartment buildings. The characteristics considered were used to quantify energy consumption (heating and power supply). Due to the results obtained, a statistical analysis of energy consumption in old apartment buildings and in new ones was carried out. It was noted that old apartment buildings consume more energy than those built at a late stage, in accordance with the current regulatory framework. The results can be useful in identifying priority elements of the building that will help to effectively reduce energy consumption during major repairs and classify existing residential buildings to build energy models.

An Experimental Approach to Assess the Disparities in the Usage Trends of Domestic Electric Lighting

2012 ◽  
Author(s):  
Toufic Zaraket ◽  
Bernard Yannou ◽  
Yann Leroy ◽  
Stephanie Minel ◽  
Emilie Chapotot
Keyword(s):  
Energy Consumption ◽  
Structural Characteristics ◽  
Electricity Consumption ◽  
Building Design ◽  
Key Factors ◽  
Total Energy Consumption ◽  
Energy Models ◽  
Quantitative Studies ◽  
Usage Patterns ◽  
Technical Solutions

In a country like France, electricity consumption devoted to domestic lighting represents nearly a fifth of the total energy consumption of a building. The use of electric lighting is influenced by several factors such as the building’s structural characteristics, the activities of its occupants, the lighting equipments, and the level of natural light. Designers do take into account, in their energy models, the influence of occupants on the building’s overall energy consumption. However, these models still have some drawbacks regarding the comprehension of real “occupants’ energy behaviors” which play an important role in the discrepancies between predicted and real energy consumptions. The behavioral factors behind occupants’ usage trends of energy are still not thoroughly explored. Therefore, it is assumed that a better comprehension of these behaviors and consumption mechanisms could lead to the identification of technical solutions and energy saving potentials, thus resulting in a more robust building design. The present paper aims to provide an insight into domestic lighting usages. The main objective is to explore the key factors (socio-demographic, economic, technical and behavioral) responsible for the disparities in lighting consumption between one household and another. For this purpose, an experiment is performed concurrently to the proposal of a lighting usage model. A micro level investigation protocol is elaborated and used to conduct in-depth studies on the usage patterns of electric lighting. The survey is conducted on a sample of 8 French households. The methodology for constructing the experimental protocol, its deployment, as well as the results obtained and their analysis are presented in this paper. The need for further qualitative and quantitative studies to better understand the usage trends of electric lighting is discussed.

scholarly journals Update of specific electric loads of public premises located in residential buildings

2021 ◽  
Vol 23 (3) ◽  
pp. 62-72
Author(s):  
Yu. I. Soluyanov ◽  
A. R. Akhmetshin ◽  
V. I. Soluyanov
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
Normative Values ◽  
Electrical Load ◽  
Smart Meters ◽  
Apartment Buildings ◽  
Constant Change ◽  
Electrical Loads ◽  
Electric Loads

THE PURPOSE. To determine the composition of electricity consumers in apartment buildings. To analyze the power consumption of organizations located on the first two floors of apartment buildings. To justify the need to update the standards for electrical loads for public premises built into residential buildings. METHODS. Information on electricity consumption was received by automated electricity metering system from smart meters installed directly at consumers. To achieve this goal, statistical methods for analyzing energy consumption were used. RESULTS. The article describes the relevance of the topic, provides a rationale for adjusting the normative values of specific electrical loads for public premises built into residential buildings. The percentage of consumer groups is shown on the example of several apartment buildings. The annual specific average monthly graphs of electricity consumption are presented: shops, offices, pharmacies, restaurants. CONCLUSION. In an effort to increase the level of comfort, developers are interested in developing the infrastructure of the facilities, mainly for this, they use ground and first floors, in which retail and office areas are most often located. Research by the Roselectromontazh Association has shown that to determine the electrical load of non-residential commercial premises, one has to use one averaged value due to the constant change in the purpose of premises and the complexity of determining the occupied area.

scholarly journals Did I make a mistake? Finding the impact of code change on energy regression

2017 ◽  
Author(s):  
Shaiful Alam Chowdhury ◽  
Stephanie Gil ◽  
Stephen Romansky ◽  
Abram Hindle
Keyword(s):  
Energy Consumption ◽  
Model Building ◽  
Continuous Process ◽  
Measurement Data ◽  
Energy Measurement ◽  
Test Cases ◽  
End User ◽  
Energy Models ◽  
Software Energy Consumption ◽  
The Impact

Software energy consumption is a performance related non-functional requirement that complicates building software on mobile devices today. Energy hogging applications are a liability to both the end-user and software developer. Measuring software energy consumption is non-trivial, requiring both equipment and expertise, yet many researchers have found that software energy consumption can be modelled. Prior works have hinted that with more energy measurement data one can make more accurate energy models but this data was expensive to extract because it required energy measurement of running test cases (rare) or time consuming manually written tests. We address these concerns by automatically generating test cases to drive applications undergoing energy measurement. Automatic test generation allows a model to be continuously improved in a model building process whereby applications are extracted, tests are generated, energy is measured and combined with instrumentation to train a grander big-data model of software energy consumption. This continuous process has allowed the authors to generate and extract measurements from hundreds of applications in order to build accurate energy models capable of predicting the energy consumption of applications without end-user energy measurement. We clearly show that models built from more applications reduce energy modelling error.

scholarly journals Did I make a mistake? Finding the impact of code change on energy regression

2017 ◽  
Author(s):  
Shaiful Alam Chowdhury ◽  
Stephanie Gil ◽  
Stephen Romansky ◽  
Abram Hindle
Keyword(s):  
Energy Consumption ◽  
Model Building ◽  
Continuous Process ◽  
Measurement Data ◽  
Energy Measurement ◽  
Test Cases ◽  
End User ◽  
Energy Models ◽  
Software Energy Consumption ◽  
The Impact

Software energy consumption is a performance related non-functional requirement that complicates building software on mobile devices today. Energy hogging applications are a liability to both the end-user and software developer. Measuring software energy consumption is non-trivial, requiring both equipment and expertise, yet many researchers have found that software energy consumption can be modelled. Prior works have hinted that with more energy measurement data one can make more accurate energy models but this data was expensive to extract because it required energy measurement of running test cases (rare) or time consuming manually written tests. We address these concerns by automatically generating test cases to drive applications undergoing energy measurement. Automatic test generation allows a model to be continuously improved in a model building process whereby applications are extracted, tests are generated, energy is measured and combined with instrumentation to train a grander big-data model of software energy consumption. This continuous process has allowed the authors to generate and extract measurements from hundreds of applications in order to build accurate energy models capable of predicting the energy consumption of applications without end-user energy measurement. We clearly show that models built from more applications reduce energy modelling error.

scholarly journals Update of specific electric loads of public premises located in residential buildings

2021 ◽  
Vol 23 (3) ◽  
pp. 47-57
Author(s):  
Yu. I. Soluyanov ◽  
A. R. Akhmetshin ◽  
V. I. Soluyanov
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
Normative Values ◽  
Electrical Load ◽  
Smart Meters ◽  
Apartment Buildings ◽  
Constant Change ◽  
Electrical Loads ◽  
Electric Loads

THE PURPOSE. To determine the composition of electricity consumers in apartment buildings. To analyze the power consumption of organizations located on the first two floors of apartment buildings. To justify the need to update the standards for electrical loads for public premises built into residential buildings. METHODS. Information on electricity consumption was received by automated electricity metering system from smart meters installed directly at consumers. To achieve this goal, statistical methods for analyzing energy consumption were used. RESULTS. The article describes the relevance of the topic, provides a rationale for adjusting the normative values of specific electrical loads for public premises built into residential buildings. The percentage of consumer groups is shown on the example of several apartment buildings. The annual specific average monthly graphs of electricity consumption are presented: shops, offices, pharmacies, restaurants. CONCLUSION. In an effort to increase the level of comfort, developers are interested in developing the infrastructure of the facilities, mainly for this, they use ground and first floors, in which retail and office areas are most often located. Research by the Roselectromontazh Association has shown that to determine the electrical load of non-residential commercial premises, one has to use one averaged value due to the constant change in the purpose of premises and the complexity of determining the occupied area.

scholarly journals Feasibility Study of Concrete Louvers for High-rise Residential Buildings in Terms of Cooling Energy Requirements

2021 ◽  
Vol 9 (1) ◽  
pp. 28-39
Author(s):  
Sara Dh. Bahaadin ◽  
Binaee Y. Raof ◽  
Hendren Abdulrahman
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Total Energy Consumption ◽  
High Rise ◽  
Sustainability Strategies ◽  
Harmful Emissions ◽  
Shading Devices ◽  
Shading Device ◽  
Cooling Loads ◽  
The Impact

High-rise residential buildings are increasing worldwide, including cities in the Kurdistan Region of Iraq. Therefore, creating sustainable environments in and around these residential buildings are becoming an important problem. Improving energy efficiency in buildings has received critical attention worldwide. Countries have developed national sustainability strategies that lead to the lower energy consumption while maintaining comfort, reducing energy consumption, and minimizing harmful emissions. In this paper, an analysis of the impact of external shading devices in high-rise residential buildings on energy consumption of a 13-storey building in Sulaimani city is studied. The study is focused on fixed shading elements, explaining the influence of the design of vertical and horizontal shading devices on the total energy consumption of this type of building. The results show that both a single fixed horizontal blind with a depth of 20 cm and a triple vertical shading with the same depth are considered useless. The reduction in cooling loads by two fixed horizontal louvers almost doubled compared to a single fixed horizontal shading with 20 cm. Moreover, triple fixed horizontal louvers with 40 cm have almost the same effect on reducing cooling loads as triple fixed louvers with 60 cm. On the other hand, a triple fixed horizontal shading device with 60 cm has twice the effect on reducing annual cooling loads as a triple fixed vertical shading device with 60 cm.

scholarly journals Decarbonization of Residential Building Energy Supply: Impact of Cogeneration System Performance on Energy, Environment, and Economics

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2538
Author(s):  
Praveen K. Cheekatamarla
Keyword(s):  
Carbon Dioxide ◽  
Power Generation ◽  
Energy Consumption ◽  
Carbon Footprint ◽  
Residential Buildings ◽  
Building Energy ◽  
Primary Energy ◽  
Primary Energy Consumption ◽  
Cogeneration System ◽  
The Impact

Electrical and thermal loads of residential buildings present a unique opportunity for onsite power generation, and concomitant thermal energy generation, storage, and utilization, to decrease primary energy consumption and carbon dioxide intensity. This approach also improves resiliency and ability to address peak load burden effectively. Demand response programs and grid-interactive buildings are also essential to meet the energy needs of the 21st century while addressing climate impact. Given the significance of the scale of building energy consumption, this study investigates how cogeneration systems influence the primary energy consumption and carbon footprint in residential buildings. The impact of onsite power generation capacity, its electrical and thermal efficiency, and its cost, on total primary energy consumption, equivalent carbon dioxide emissions, operating expenditure, and, most importantly, thermal and electrical energy balance, is presented. The conditions at which a cogeneration approach loses its advantage as an energy efficient residential resource are identified as a function of electrical grid’s carbon footprint and primary energy efficiency. Compared to a heat pump heating system with a coefficient of performance (COP) of three, a 0.5 kW cogeneration system with 40% electrical efficiency is shown to lose its environmental benefit if the electrical grid’s carbon dioxide intensity falls below 0.4 kg CO2 per kWh electricity.

scholarly journals Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4046 ◽  
Author(s):  
Sooyoun Cho ◽  
Jeehang Lee ◽  
Jumi Baek ◽  
Gi-Seok Kim ◽  
Seung-Bok Leigh
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Simulation Analysis ◽  
Residential Buildings ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Building Energy ◽  
Major Effect ◽  
Measuring Instruments ◽  
Building Energy Consumption

Although the latest energy-efficient buildings use a large number of sensors and measuring instruments to predict consumption more accurately, it is generally not possible to identify which data are the most valuable or key for analysis among the tens of thousands of data points. This study selected the electric energy as a subset of total building energy consumption because it accounts for more than 65% of the total building energy consumption, and identified the variables that contribute to electric energy use. However, this study aimed to confirm data from a building using clustering in machine learning, instead of a calculation method from engineering simulation, to examine the variables that were identified and determine whether these variables had a strong correlation with energy consumption. Three different methods confirmed that the major variables related to electric energy consumption were significant. This research has significance because it was able to identify the factors in electric energy, accounting for more than half of the total building energy consumption, that had a major effect on energy consumption and revealed that these key variables alone, not the default values of many different items in simulation analysis, can ensure the reliable prediction of energy consumption.

scholarly journals Sistema Open-Source de Monitoramento do Consumo de Energia Elétrica

2020 ◽  
Author(s):  
Felipe Przysiada† ◽  
Diego Merks ◽  
Eduardo Silva ◽  
Alessandro Brawerman
Keyword(s):  
Energy Consumption ◽  
Environmental Impact ◽  
Electricity Consumption ◽  
User Profile ◽  
End User ◽  
Hydroelectric Plants ◽  
The Cost ◽  
Monitoring Devices ◽  
Generating System ◽  
Monthly Survey

The cost of electricity in Brazilian homes is increasingly high. This project consists of bringing a complete and easily accessible solution aiming to benefit the economy, in a much broader way, both for the end user and for the electricity generating system, which today has difficulty in meeting demand, as well as it provides a reduction in the environmental impact caused by the constant expansion of hydroelectric plants and other sources of energy. The use of this system, the Electricity Consumption Monitoring System, allows the user to have control of each equipment installed in the premises. The equipment in monitored by a device designed and built in this project. From these monitoring devices, which perform periodic measurements, it is possible to make a daily, weekly or monthly survey of the consumption of each equipment in the residence, sending alert messages, for excessive energy consumption, thus defining a user profile and even creating limitations for monthly spending. With this, the user will have the necessary resources to manage their energy consumption over the days, without having surprises at the end of the month.

scholarly journals Analysis of Office Rooms Energy Consumption Data in Respect to Meteorological and Direct Sun Exposure Conditions

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7590
Author(s):  
Adam Kula ◽  
Albert Smalcerz ◽  
Maciej Sajkowski ◽  
Zygmunt Kamiński
Keyword(s):  
Energy Consumption ◽  
Public Service ◽  
Residential Buildings ◽  
Sun Exposure ◽  
Building Energy ◽  
The West ◽  
Building Energy Management ◽  
Consumption Data ◽  
Office Rooms ◽  
The Impact

There are many papers concerning the consumption of energy in different buildings. Most describe residential buildings, with only a few about office- or public service buildings. Few articles showcase the use of energy consumption in specific rooms of a building, directed in different geographical directions. On the other hand, many publications present methods, such as machine learning or AI, for building energy management and prediction of its consumption. These methods have limitations and represent a certain level of uncertainty. In order to compare energy consumption of different rooms, the measurements of particular building-room parameters were collected and analyzed. The obtained results showcase the effect of room location, regarding geographical directions, for the consumption of energy for heating. For south-exposed rooms, due to sun radiation, it is possible to switch heating off completely, and even overheating of 3 °C above the 22 °C temperature set point occurs. The impact of the sun radiation for rooms with a window directed east or west reached about 1 °C and lasts for a few hours before noon for the east, and until late afternoon for the west.

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