PRIORITIZING OCCUPANTS UNDERSTANDING LEVEL ON RESIDENTIAL BUILDING ENERGY CONSUMPTION

2015 ◽  
Vol 77 (16) ◽  
Author(s):  
Jibrin Hassan Suleiman ◽  
Ali Keyvanfar ◽  
Rosli Mohamad Zin ◽  
Saeed Balubaid ◽  
Shaiful Amri Mansur
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Use ◽  
Negative Impact ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Energy ◽  
Living Standard ◽  
Survey Form ◽  
Home Appliance

The building sector is widely known for its greenhouse gas and carbon emission which is very significant to the global warming as observed in recent years. Many research works highlighted that buildings has a negative impact on the society as it consumes up to 80% of the total energy used during operation stage. In Malaysia, electricity energy consumption in buildings is 63,354GWh out of the total 116,353GWh of total energy consumed in the country in the year 2012. This paper consider the understanding level of the residential owners in their building energy usage at their various residential buildings. Energy use by household varies widely, this is due to the living standard of a country, type of buildings and climate condition of the region. The study is based on the tips and guides to energy efficiency at home of the Sustainable Energy Development Authority (SEDA) Malaysia. Data was collected through a questionnaire survey form and was analyzed using regression analysis, the results indicates that the occupants have little or no proper understanding of Air-condition, Home appliance and Lighting appliances.

The Importance of Building Energy-Saving Show from the Change of Climate Parameters in Energy-Saving Standards

2014 ◽  
Vol 587-589 ◽  
pp. 397-400
Author(s):  
Jie Zhang ◽  
Xiao Dong Qin
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Energy Saving ◽  
Energy Use ◽  
Residential Buildings ◽  
Building Energy ◽  
Total Energy Consumption ◽  
Building Area ◽  
Building Energy Saving ◽  
Oil Gas

Energy-saving work has made great achievements in our country, the index of heat loss of building of per building area in new residential buildings fell sharply, but total energy consumption and the proportion of it in social total energy consumption is rising. A large number of coal, oil, gas and other fossil energy use, caused the climate warming and so on the adverse effects on the human survival environment, these phenomena, warns us to further strengthen the importance of building energy-saving work.

scholarly journals Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3876
Author(s):  
Sameh Monna ◽  
Adel Juaidi ◽  
Ramez Abdallah ◽  
Aiman Albatayneh ◽  
Patrick Dutournie ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Residential Building ◽  
Simulation Models ◽  
Water Heating ◽  
Heating And Cooling ◽  
Space Cooling ◽  
Cooling Loads

Since buildings are one of the major contributors to global warming, efforts should be intensified to make them more energy-efficient, particularly existing buildings. This research intends to analyze the energy savings from a suggested retrofitting program using energy simulation for typical existing residential buildings. For the assessment of the energy retrofitting program using computer simulation, the most commonly utilized residential building types were selected. The energy consumption of those selected residential buildings was assessed, and a baseline for evaluating energy retrofitting was established. Three levels of retrofitting programs were implemented. These levels were ordered by cost, with the first level being the least costly and the third level is the most expensive. The simulation models were created for two different types of buildings in three different climatic zones in Palestine. The findings suggest that water heating, space heating, space cooling, and electric lighting are the highest energy consumers in ordinary houses. Level one measures resulted in a 19–24 percent decrease in energy consumption due to reduced heating and cooling loads. The use of a combination of levels one and two resulted in a decrease of energy consumption for heating, cooling, and lighting by 50–57%. The use of the three levels resulted in a decrease of 71–80% in total energy usage for heating, cooling, lighting, water heating, and air conditioning.

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 Humidity-Sensitive Demand-Controlled Ventilation Applied to Multi-Unit Residential Building – Performance and Energy Consumption in Dfb Continental Climate

2020 ◽  
Author(s):  
Jerzy Sowa ◽  
Maciej Mijakowski
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Ventilation System ◽  
Residential Building ◽  
Primary Energy ◽  
Controlled Ventilation ◽  
Demand Controlled Ventilation ◽  
Continental Climate

A humidity-sensitive demand-controlled ventilation system is known for many years. It has been developed and commonly applied in regions with an oceanic climate. Some attempts were made to introduce this solution in Poland in a much severe continental climate. The article evaluates this system's performance and energy consumption applied in an 8-floor multi-unit residential building, virtual reference building described by the National Energy Conservation Agency NAPE, Poland. The simulations using the computer program CONTAM were performed for the whole hating season for Warsaw's climate. Besides passive stack ventilation that worked as a reference, two versions of humidity-sensitive demand-controlled ventilation were checked. The difference between them lies in applying the additional roof fans that convert the system to hybrid. The study confirmed that the application of demand-controlled ventilation in multi-unit residential buildings in a continental climate with warm summer (Dfb) leads to significant energy savings. However, the efforts to ensure acceptable indoor air quality require hybrid ventilation, which reduces the energy benefits. It is especially visible when primary energy use is analyzed.

DWELLING FACTORS EFFECT ON RESIDENTIAL BUILDING ENERGY CONSUMPTION

2015 ◽  
Vol 77 (15) ◽  
Author(s):  
Jibrin Hassan Suleiman ◽  
Saeed Balubaid ◽  
Nasiru Mohammed Zakari ◽  
Egba Ernest Ituma
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Refrigeration System ◽  
Rapid Urbanization ◽  
Air Conditioning System ◽  
Household Heads ◽  
Self Administered Questionnaire

Most of the developing countries experience rapid urbanization and population growth, Malaysia is among these countries as the population and the energy consumption in the country tremendously increased over the last few decades.  A major challenge is the rate of energy consumption in the country is tremendous going higher which is a threat as the country was listed 26th out of the 30 top greenhouse emitters in the world.  A survey was conducted on the ways occupants’ consumes energy in their residential buildings in relation to dwelling factors in the State of Johor Malaysia. Energy consumption of the residential owners was assessed using drop and pick self-administered questionnaire. The questionnaires were answered by each household heads. Air conditioning system, refrigeration system, kitchen appliances, bathroom and laundry appliances, lighting appliances as well as other home appliances was considered in the survey. Correlation analysis was used using Statistical Package for Social Sciences (SPSS) to analyze the results. The finding shows a positive relationship between dwelling factors.  r ≥ 0.3 and above between dwelling factors and residential building energy consumption. 

Research on Energy Optimization and the Effect Factors of Energy Consumption about Residential Buildings in Inner Mongolia

2013 ◽  
Vol 368-370 ◽  
pp. 1322-1326
Author(s):  
Guo Hui Jin ◽  
Huai Zhu Wang
Keyword(s):  
Energy Consumption ◽  
Inner Mongolia ◽  
Residential Buildings ◽  
Rapid Development ◽  
Influence Factors ◽  
Residential Building ◽  
Building Energy ◽  
Effect Factors ◽  
Building Energy Conservation ◽  
Building Energy Saving

With the rapid development of national economy in china, the proportion of the building consumption in energy consumption is rising year by year. This paper will analyze energy influence factors of consumption of residential building in Inner Mongolia. According to these factors, it will optimize the energy consumption of residential building energy saving research . In the end , the thesis will put up some measures to optimization of conserve energy and provide guidance and help for residential building energy conservation in Inner Mongolia.

Energy Consumption Simulation for Residential Buildings With Shading Devices in Different Regions

2007 ◽  
Author(s):  
Junjie Liu ◽  
Xiaojie Zhou ◽  
Zhihong Gao
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Energy ◽  
Energy Performance ◽  
Indoor Environments ◽  
Total Energy Consumption ◽  
South West ◽  
Shading Devices ◽  
Energy Consumption Simulation

With the development of energy saving, it is needed to calculate the energy consumption of the residential building, particularly accurate dynamic energy consumption. Fixed shading devices are wildly used to save building energy because they prevent undesirable heat coming through the windows during the “overheated period”, just as in summer, which can ameliorate the indoor environments and reduce the energy consumption of air-conditioning in summer. But they will also prevent solar energy which can be used in winter to enter windows. So it is very important to be able to determine the optimal shading devices of windows. The overhangs and vertical-shading devices are representative to study the different energy performance in summer and winter, in an actual dwell house. On the other hand, fixed shading devices can weaken the effect of daylighting, so we would take both the total energy consumption and rooms’ daylighting into account. In this study, we choose several typical dwelling houses in different cities located in north, south, west, east and central region of China respectively. We calculated energy consumption of those models by using Energyplus program, and compared the shading performance of horizontal and vertical shading devices, then optimal configuration dimensions of horizontal shading devices are recommended on the basis of different requirements for solar heat gains in winter and in summer for those typical dwelling houses.

Potentials Analysis of Carbon Mitigation and Energy Consumption Reduction of Shanghai Non-Residential Buildings

2012 ◽  
Vol 512-515 ◽  
pp. 2766-2774
Author(s):  
Wei Bai ◽  
Wei Ding Long
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Residential Buildings ◽  
Energy System ◽  
Building Energy ◽  
Economic Incentives ◽  
Building Energy Efficiency ◽  
Carbon Reduction ◽  
Energy Consumption Reduction ◽  
Business As Usual

The aim of this study is to analyze the potentials of energy consumption and the energy-related carbon reduction of Shanghai non-residential buildings, to discuss the contributions of positive policies. This study uses system dynamic tool to examine the behaviour of the complex social-economic-energy system over time. This study defines three types of scenarios, BAU (business-as-usual), reference and ambitious scenarios in which policies on sustainability and technology progress are different. In order to highlight the importance of policies, this study adds several sub-scenarios and compares the contributions of them. The results show that Shanghai can reduce by at most 22% of building energy use and 30.9% of the energy-related carbon emissions by 2020 on the 2005 baseline. The strong economic incentives, including both encouraging and punishment measures are quite helpful for Shanghai building energy efficiency and CO2 reduction.

scholarly journals Development and Verification of Prototypical Office Buildings Models Using the National Building Energy Consumption Survey in Korea

2021 ◽  
Vol 13 (7) ◽  
pp. 3611
Author(s):  
Hye-Jin Kim ◽  
Do-Young Choi ◽  
Donghyun Seo
Keyword(s):  
Energy Consumption ◽  
Energy Policy ◽  
Policy Development ◽  
Large Scale ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Energy ◽  
Office Buildings ◽  
Policy Enforcement ◽  
Building Stock

In the early 2000s, the Korean government mandated the construction of only zero-energy residential buildings by 2025 and for non-residential buildings from 2030. Two decades since the start of building energy policy enforcement, Korean experts believe that it is time to evaluate its impact. However, few studies have systematically and extensively examined the energy consumption characteristics of the non-residential building stock. In this study, a framework development is implemented for defining non-residential prototypical office buildings based on Korea’s first large-scale non-residential building survey result from the Korea Energy Economics Institute (KEEI). Then, a detailed building energy model of the defined prototypical building is constructed to verify the model’s energy estimation against observed energy consumption. As an application of the model, a case study for energy policy evaluation utilizing the constructed prototypical building model is presented. Every researcher and county may have their own circumstances when gathering definition data. However, by using the best available representative data, this suggested framework may result in informed decisions regarding energy policy development and evaluation. In addition, the mitigation of greenhouse gases from buildings may be expedited.

scholarly journals Energy Management through Cost Forecasting for Residential Buildings in New Zealand

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2888 ◽  
Author(s):  
Linlin Zhao ◽  
Zhansheng Liu ◽  
Jasper Mbachu
Keyword(s):  
Energy Consumption ◽  
New Zealand ◽  
Energy Management ◽  
Energy Use ◽  
Residential Buildings ◽  
Arima Model ◽  
Residential Building ◽  
Household Energy ◽  
Household Energy Use ◽  
Ann Models

Over the last two decades, the residential building sector has been one of the largest energy consumption sectors in New Zealand. The relationship between that sector and household energy consumption should be carefully studied in order to optimize the energy consumption structure and satisfy energy demands. Researchers have made efforts in this field; however, few have concentrated on the association between household energy use and the cost of residential buildings. This study examined the correlation between household energy use and residential building cost. Analysis of the data indicates that they are significantly correlated. Hence, this study proposes time series methods, including the exponential smoothing method and the autoregressive integrated moving average (ARIMA) model for forecasting residential building costs of five categories of residential buildings (one-storey house, two-storey house, townhouse, residential apartment and retirement village building) in New Zealand. Moreover, the artificial neutral networks (ANNs) model was used to forecast the future usage of three types of household energy (electricity, gas and petrol) using the residential building costs. The t-test was used to validate the effectiveness of the obtained ANN models. The results indicate that the ANN models can generate acceptable forecasts. The primary contributions of this paper are twofold: (1) Identify the close correlation between household energy use and residential building costs; (2) provide a new clue for optimizing energy management.

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