Household energy use patterns and social organisation for optimal energy management in a multi-user solar energy system

2006 ◽  
Vol 14 (4) ◽  
pp. 353-362 ◽  
Author(s):  
Annette Jenny ◽  
José Raúl Díaz López ◽  
Hans-Joachim Mosler
Keyword(s):  
Solar Energy ◽  
Energy Management ◽  
Energy Use ◽  
Energy System ◽  
Social Organisation ◽  
Household Energy ◽  
Use Patterns ◽  
Optimal Energy ◽  
Household Energy Use ◽  
Optimal Energy Management

scholarly journals Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies

Electronics ◽  
2018 ◽  
Vol 7 (10) ◽  
pp. 233 ◽  
Author(s):  
Omar Mohammed ◽  
Yassine Amirat ◽  
Mohamed Benbouzid
Keyword(s):  
Genetic Algorithm ◽  
Energy Management ◽  
Hybrid System ◽  
High Reliability ◽  
Energy System ◽  
System Model ◽  
Optimization Approach ◽  
Hybrid Energy ◽  
Optimal Energy ◽  
Optimal Energy Management

Hybrid renewable energy systems are a promising technology for clean and sustainable development. In this paper, an intelligent algorithm, based on a genetic algorithm (GA), was developed and used to optimize the energy management and design of wind/PV/tidal/ storage battery model for a stand-alone hybrid system located in Brittany, France. This proposed optimization focuses on the economic analysis to reduce the total cost of hybrid system model. It suggests supplying the load demand under different climate condition during a 25-years interval, for different possible cases and solutions respecting many constraints. The proposed GA-based optimization approach achieved results clear highlight its practicality and applicability to any hybrid power system model, including optimal energy management, cost constraint, and high reliability.

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.

Urban household energy use patterns in Nigeria

1995 ◽  
Vol 19 (2) ◽  
pp. 125-132 ◽  
Author(s):  
A O Adegbulugbe ◽  
J F K Akinbami
Keyword(s):  
Energy Use ◽  
Household Energy ◽  
Urban Household ◽  
Use Patterns ◽  
Household Energy Use

scholarly journals Optimal Energy Management of Building Microgrid Networks in Islanded Mode Considering Adjustable Power and Component Outages

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2351 ◽  
Author(s):  
Van-Hai Bui ◽  
Akhtar Hussain ◽  
Hak-Man Kim ◽  
Yong-Hoon Im
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Energy System ◽  
Heat Pumps ◽  
External Energy ◽  
Optimal Energy ◽  
Unit Energy ◽  
Islanded Mode ◽  
Optimal Energy Management ◽  
The Impact

In this paper, an optimal energy management scheme for islanded building microgrid networks is proposed. The proposed building microgrid network comprises of several inter-connected building microgrids (BMGs) and an external energy supplier. Each BMG has a local combined heat and power (CHP) unit, energy storage, renewables and loads (electric and thermal). The external energy system comprises of an external CHP unit, chillers, electric heat pumps and heat pile line, for thermal energy storage. The BMGs can trade energy with other BMGs of the network and can also trade energy with the external energy supplier. In order to efficiently utilize the components of the BMGs and the network, the concept of adjustable power is adopted in this study. Adjustable power can reduce the operation cost of the network by increasing/decreasing the power of dispatchable units. In addition, the failure/recovery of components in the BMGs and the external system are also considered to analyze the performance of the proposed operation method. In order to optimally utilize the available resources during events, precedence among loads of BMGs and the external energy supplier is considered. Simulation results have proved the applicability of the proposed method for both normal islanded mode and with outage/recovery of equipment during the operation horizon. Finally, sensitivity analysis is carried out to analyze the impact of change in components’ parameters values on the saved cost of the network.

A study on household energy-use patterns in rural, semi-urban and urban areas of Nepal based on field survey

2020 ◽  
Vol 223 ◽  
pp. 110095 ◽  
Author(s):  
Dinesh Kumar Shahi ◽  
Hom Bahadur Rijal ◽  
Masanori Shukuya
Keyword(s):  
Urban Areas ◽  
Energy Use ◽  
Field Survey ◽  
Household Energy ◽  
Use Patterns ◽  
Household Energy Use

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.

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