scholarly journals Survey And Articifical Neural Network Analysis On Occupant's Household Energy Use In A High-Rise Multi-Unit Residential Building In Toronto, Canada

2021 ◽  
Author(s):  
Miles Roque
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Survey Data ◽  
Energy Use ◽  
Residential Building ◽  
Weather Conditions ◽  
Ann Model ◽  
Household Energy ◽  
High Rise ◽  
Household Energy Use

Examining occupant's household energy use is a crucial step in achieving significant reductions in energy consumption. The purpose of this thesis is to collect information on ownership of appliances and electronics to evaluate their use, energy consumption, and behaviour with respect to energy in a Toronto high-rise multi-unit residential building (MURB). In this thesis, a survey was developed and implemented in a Toronto high-rise MURB. The survey data, energy consumption data from October 2010 to September 2012, and weather conditions were analyzed and used to develop an artificial neural network (ANN) model. The detailed analysis of survey data resulted in the development of relationships between occupant's demographics and energy consumption. By creating an ANN model, results showed that the implementation of the survey may have reduced occupant's energy consumption in the high-rise MURB.

scholarly journals Survey And Articifical Neural Network Analysis On Occupant's Household Energy Use In A High-Rise Multi-Unit Residential Building In Toronto, Canada

2021 ◽  
Author(s):  
Miles Roque
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Survey Data ◽  
Energy Use ◽  
Residential Building ◽  
Weather Conditions ◽  
Ann Model ◽  
Household Energy ◽  
High Rise ◽  
Household Energy Use

Examining occupant's household energy use is a crucial step in achieving significant reductions in energy consumption. The purpose of this thesis is to collect information on ownership of appliances and electronics to evaluate their use, energy consumption, and behaviour with respect to energy in a Toronto high-rise multi-unit residential building (MURB). In this thesis, a survey was developed and implemented in a Toronto high-rise MURB. The survey data, energy consumption data from October 2010 to September 2012, and weather conditions were analyzed and used to develop an artificial neural network (ANN) model. The detailed analysis of survey data resulted in the development of relationships between occupant's demographics and energy consumption. By creating an ANN model, results showed that the implementation of the survey may have reduced occupant's energy consumption in the high-rise MURB.

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.

scholarly journals Using Characteristic Energy to Study Rural Ethnic Minorities’ Household Energy Consumption and Its Impact Factors in Chongqing, China

2020 ◽  
Vol 12 (17) ◽  
pp. 6898 ◽  
Author(s):  
Shuxin Mao ◽  
Sha Qiu ◽  
Tao Li ◽  
Mingfang Tang ◽  
Hongbing Deng ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Ethnic Minorities ◽  
Emission Reduction ◽  
Energy Use ◽  
Impact Factors ◽  
Characteristic Energy ◽  
Household Energy ◽  
Household Energy Use ◽  
Use Pattern

In the context of general household energy transition, identifying different household energy consumption patterns is of great significance for the formulation of refined energy conservation and emission reduction policies. For historical reasons, the households of ethnic minorities in China tend to face more severe energy poverty problems. In this study, we proposed the concept and research method of characteristic energy, a new method to depict household energy use pattern. Combined with the diversity analysis, the energy use pattern of Tujia and Miao rural households in Chongqing, China, were studied. Households in research area were clustered into four groups with different characteristic energy sources: firewood, electricity, coal and gasoline, representing four types of household energy use pattern. The main impact factors of rural household energy use pattern are electrical appliances and amount of pig raising, indicating that household production and lifestyle play a decisive role in household energy use patterns. In addition, the research depicts the energy consumption characteristics of rural households with different incomes, ethnic groups and in different regions. The study puts forward corresponding energy saving countermeasures for different energy use pattern, helps to identify the heterogeneity of rural household energy use and promote the formulation of refined regional energy conservation and emission reduction policies.

scholarly journals Just Transitions, Poverty and Energy Consumption: Personal Carbon Accounts and Households in Poverty

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5953
Author(s):  
Martin Burgess ◽  
Mark Whitehead
Keyword(s):  
Energy Consumption ◽  
Low Income ◽  
Carbon Emissions ◽  
Energy Use ◽  
Environmental Cost ◽  
Household Energy ◽  
Household Energy Use ◽  
Per Capita ◽  
Database Average ◽  
Do So

Complex relations exist between issues of poverty, responsibility and just transitions toward reduced household energy use. One proposed transitional instrument is Personal Carbon Accounts (PCAs) which provide equal per capita carbon allowances and increase costs for additional usage. Previously modelled PCAs show that a third of households in poverty must curtail usage or pay more for some of their fuel, hitherto making PCAs ethically and politically untenable. Using the UK’s “Understanding Society” database, average per capita carbon allowances and—using occupancy data—the hypothetical allowance each household would receive within a PCA scheme are calculated. Occupancy levels, equivalised incomes and conversion of expenditure to carbon emissions permit analysis of households emitting more or less carbon compared to their allocation. We demonstrate that households emitting greater than average levels of CO2 do so mainly for lifestyle reasons, irrespective of income. Any calculation of legitimate social and environmental cost of CO2, even for households in poverty, must consider questions of choice and capacity to act. This suggests that even if certain low income, high emitting households are disadvantaged by the transition associated with personal carbon allowances this may still be a just transition.

scholarly journals Environmental attitudes and energy consumption among tenants in a high-rise multi-unit residential building in Toronto, Canada

2021 ◽  
Author(s):  
Samira Zare Mohazabieh
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Environmental Attitudes ◽  
Main Tool ◽  
Residential Building ◽  
Environmental Knowledge ◽  
Survey Method ◽  
Environmental Study ◽  
Environmentally Conscious ◽  
High Rise

The influence that environmental knowledge and belief have on people’s behaviour is one of the important issues in the fields of engineering, environmental study, management and other related areas. However, currently, there is not enough study on household energy use at an occupant level or on evaluation of elements that can affect household's energy use such as environmental knowledge and pro-environmental attitudes in Canadian MURBs. As such, studying household’s energy use and the interrelated effects on their energy consumption is believed to be a crucial step towards reducing energy consumption. Considering the significance of the issues stated above, the present study attempts to evaluate energy consumption and its possible correlation with environmental attitudes among the tenants of a Toronto high-rise multi-unit residential building. The research methodology is based on a quantitative survey method, and the focus of the study is on historical annual energy consumption from April 2011 to June 2013. The main tool for collecting data is a developed questionnaire, and Dunlap’s NEP scale is used for measuring environmental attitudes. With regards to data analysis, the survey data and historical energy consumption data from April 2011 to June 2013 were analysed. The statistical sample size consisted of the 50 tenants who completed the NEP survey from July 29 to August 18, 2014. The detailed statistical results show that there is a negative correlation between environmentally-conscious attitude and energy consumption of the participants which is in agreement with the study’s presented hypothesis. In essence, this means that having high environmentally-conscious attitudes towards the energy consumption has a positive effect on occupant’s energy consumption level.

Low-Carbon Life and Low-Carbon Industries Association Studies: Example from Household Energy Consumption

2012 ◽  
Vol 573-574 ◽  
pp. 890-896
Author(s):  
Yong Qiao
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Association Studies ◽  
Population Sample ◽  
Low Carbon ◽  
High Carbon ◽  
Household Energy ◽  
Urban Households ◽  
Rural And Urban ◽  
Household Energy Use

Low-carbon industries and people's lives are interrelated. A survey was conducted with a population sample of 100 households. This paper compared the rural and urban households’ energy consumption. It was found that the household energy-use is complex. The urban households’ energy use has a high-carbon tendency. The rural households’ energy consumption is relatively low-carbon, but their energy consumption behaviors are gradually being abandoned. Whether the consumer chooses a low-carbon lifestyle or not, it does not relate to his idea but to the industries. With the economic level improving, all households may choose electricity only. If the Power industry is not low carbon, the life of people can't be low carbon. The article focuses on the energy industry and concerns that low-carbon life is driven by low-carbon industries.

Household energy use: a comparison of household energy consumption and expenditure across three provinces

2007 ◽  
Vol 18 (1) ◽  
pp. 20-28 ◽  
Author(s):  
R. Aitken
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Eastern Cape ◽  
Public And Private ◽  
Household Energy ◽  
Household Energy Consumption ◽  
North West ◽  
Three Samples ◽  
Household Energy Use ◽  
Public And Private Sector

This paper details and contrasts the patterns of household energy consumption from three sample groups across three provinces in South Africa. The three samples were selected from unelectrified areas in the provinces of KwaZulu-Natal, North West and the Eastern Cape. The paper shows the range of energy sources and carriers as well as the most prominent and common applications. Understand-ing patterns of household energy consumption and expenditure, as well as the energy burden of rural households can be used to shape and inform ener-gy interventions within these regions for both public and private sector concerns.

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

2019 ◽  
Author(s):  
Linlin Zhao ◽  
Zhansheng Liu ◽  
Jasper Mbachu
Keyword(s):  
New Zealand ◽  
Energy Management ◽  
Energy Use ◽  
Residential Buildings ◽  
Residential Building ◽  
Close Correlation ◽  
Household Energy ◽  
Building Cost ◽  
Retirement Village ◽  
Household Energy Use

Over the last two decades, residential buildings have accounted for nearly 50 percent of total energy use in New Zealand. In order to reduce household energy use, the factors that influence energy use should be continuously monitored and managed. Building researchers and professionals have made efforts to investigate the factors that affect energy use. 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 correlation between energy use data and residential building cost indicated that residential building cost in the construction phase and energy use in the operation stage were significantly correlated. These findings suggest that correct monitoring of building costs can help to identify trends in energy use. Therefore, this study proposes a time series model for forecasting residential building costs of five categories of residential building (one-story house, two-story house, townhouse, apartment, retirement village) in New Zealand. The primary contribution of this paper is the identification of the close correlation between household energy use and residential building costs and provide a new area for optimize energy management.

scholarly journals Impact of occupant behavior on energy use of HVAC system in offices

2019 ◽  
Vol 111 ◽  
pp. 04055 ◽  
Author(s):  
Zhipeng Deng ◽  
Qingyan Chen
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Energy Consumption ◽  
Energy Use ◽  
Energy Simulation ◽  
Occupant Behavior ◽  
Hvac System ◽  
Ann Model ◽  
Set Point ◽  
Artificial Neural Network Ann

The current methods for simulating building energy consumption are often inaccurate, and the error could be as large as 150%. Various types of occupant behavior may explain this inaccuracy. Therefore, it is important to identify an approach to estimate the impact of the behaviors on the energy consumption. The present study used EnergyPlus program to simulate the energy consumption of the HVAC system in an office building by implementing a behavioral artificial neural network (ANN) model. The behavioral ANN model calculates the probability of behavior occurrence according to indoor air temperature, relative humidity, clothing level and metabolic rate. The probability was used to predict energy use in 20 offices for one month in winter, spring and summer in 2018, respectively. Measured energy data from the offices were used to validate the simulated results. When a behavioral artificial neural network (ANN) model was implemented in the energy simulation, the difference between the simulated results and the measured data was less than 13%. Energy simulation using constant thermostat set point without considering occupant behavior was not accurate. Our further simulations found that adjustment of thermostat set point and clothing level by occupants could lead to 25% and 15% energy use variation in interior offices and exterior offices, respectively.

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