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 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 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 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 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.

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 Household Energy Use in New Zealand: the Changing Role of Televisions

2021 ◽  
Author(s):  
◽  
Marion R Pahalawatta
Keyword(s):  
Energy Efficiency ◽  
New Zealand ◽  
Energy Use ◽  
Policy Design ◽  
Information Communication ◽  
Household Energy ◽  
Current Trends ◽  
Household Energy Use ◽  
Energy Consumption Patterns ◽  
Mitigate Climate Change

<p>Energy efficiency plays a major role in policies to mitigate climate change and to secure future energy supply. Understanding energy use behaviour and appliance energy use is vital to policy design. The drivers of energy use in household sector are complex. Households use energy for comfort, health and entertainment in contrast to, the uses of energy for making a profit in industrial and commercial sectors. As a part of this study a model was developed identifying the major drivers of household energy use. Household income and behaviour, house size, appliance technology and appliance energy efficiency are few factors that can influence household energy consumption patterns. Many OECD countries have managed to restrain traditional household energy end-uses such as space and water heating. However, IEA studies have indicated energy used by information, communication and entertainment appliances continue to increase. Television energy use was chosen for this study because it is widely used and operates together with many other associated appliances. This analysis draws from the New Zealand Television Energy Usage and Purchasing Survey to understand the current trends and patterns of television usage. The survey suggests television and associated appliance ownership and usage is increasing. Analysis draws from the survey to quantify TV energy use in New Zealand. This study illustrates how household behaviour, technology and size affects household energy use. The survey also demonstrate how households associate energy use with environmental impact. Some OECD data on household energy was used to analyse and contrast New Zealand’s patterns in a wider context.</p>

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.

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