scholarly journals Exergy and Economic Analysis of Energy Consumption in the Residential Sector of the Qassim Region in the Kingdom of Saudi Arabia

2020 ◽  
Vol 12 (7) ◽  
pp. 2606 ◽  
Author(s):  
Radwan A. Almasri ◽  
A. F. Almarshoud ◽  
Hanafy M. Omar ◽  
Khaled Khodary Esmaeil ◽  
Mohammed Alshitawi
Keyword(s):  
Saudi Arabia ◽  
Energy Consumption ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Kingdom Of Saudi Arabia ◽  
Residential Sector ◽  
Water Heaters ◽  
Efficiency Measures ◽  
Residential Electricity ◽  
Residential Electricity Consumption

The Kingdom of Saudi Arabia (KSA) is considered one of the countries with the highest consumption of electric energy per capita. Moreover, during the period of 2007–2017, the consumption rate increased from 6.9 MWh to 9.6 MWh. On the other hand, the share of residential electricity consumption in the KSA constitutes the biggest portion of the total electric consumption, which was about 48% in 2017. The objectives of this work were to analyze the exergy and assess the economic and environmental impacts of energy consumption in the residential sector of the Qassim region to determine potential areas for energy rationalization. The consumption patterns of 100 surveyed dwellings were analyzed to establish energy consumption indicators and conduct exergy analysis. The performances of different consuming domestic items were also examined, and energy efficiency measures are proposed. The average yearly consumption per dwelling was determined, and the total energy and exergy efficiencies are 145% and 11.38%, respectively. The average shares of lighting, domestic appliances, water heaters, and air conditioning from the total yearly energy consumption were determined.

scholarly journals Smart Outlet: Smart Electrical Outlet With Device Identification Using NFC

2020 ◽  
Vol 2 (4) ◽  
pp. 21
Author(s):  
Sergio Henrique Monte Santo Andrade ◽  
João M. S. Alves ◽  
Johan S. L. Barbosa ◽  
Rafaela R. Souza
Keyword(s):  
Quality Of Life ◽  
Energy Consumption ◽  
Smart Home ◽  
Electricity Consumption ◽  
Environment Management ◽  
Device Identification ◽  
Technological Tools ◽  
Residential Electricity ◽  
Residential Electricity Consumption

The residential electricity consumption tends to expand further and, consequently, stimulates the development of technological tools that allow to establish greater control of energy consumption. Embedded technology systems play an important role in the efficiency of a smart home by providing to users ways to optimize environment management. The implementation of technologies in the residential environment offer to residents a better quality of life and reduce expenses. Therefore, this paper proposes the development of smart electrical outlets able to identify the apparatus connected to them and make available to the user the detailed consumption of each device that was used through a database.

scholarly journals The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Changho Shin ◽  
Eunjung Lee ◽  
Jeongyun Han ◽  
Jaeryun Yim ◽  
Wonjong Rhee ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Sampling Rate ◽  
Electricity Consumption ◽  
Consumption Pattern ◽  
Additional Information ◽  
Consumption Data ◽  
Energy Disaggregation ◽  
Residential Electricity ◽  
Residential Electricity Consumption

Abstract AMI has been gradually replacing conventional meters because newer models can acquire more informative energy consumption data. The additional information has enabled significant advances in many fields, including energy disaggregation, energy consumption pattern analysis and prediction, demand response, and user segmentation. However, the quality of AMI data varies significantly across publicly available datasets, and low sampling rates and numbers of houses monitored seriously limit practical analyses. To address these challenges, we herein present the ENERTALK dataset, which contains both aggregate and per-appliance measurements sampled at 15 Hz from 22 houses. Among the publicly available datasets with both aggregate and per-appliance measurements, 15 Hz was the highest sampling rate. The number of houses (22) was the second-largest where the largest one had a sampling rate of 1 Hz. The ENERTALK dataset is also the first Korean open dataset on residential electricity consumption.

scholarly journals What has driven the growth of Brazil´s residential electricity consumption during the last 19 years? An index decomposition analysis

2021 ◽  
Vol 21 (2) ◽  
pp. 7-39
Author(s):  
Karla Cristina de Freitas Jorge Abrahão ◽  
Roberta Vieira Gonçalves de Souza
Keyword(s):  
Low Income ◽  
Decomposition Analysis ◽  
Electricity Consumption ◽  
Energy Policies ◽  
Consumption Growth ◽  
Efficiency Measures ◽  
Index Decomposition ◽  
Residential Electricity ◽  
Residential Electricity Consumption ◽  
Low Income Households

Abstract Residential electricity consumption in Brazil has been growing during the last few decades, creating a potential opportunity to expand energy efficiency measures. However, the dimension of the sector and its closed relationship with the economic, cultural, and demographic processes causes a certain complexity in the understanding of patterns of consumption, creating additional challenges to energy policies. This study analyzed and decomposed the Brazilian residential electricity consumption between the years of 2000 and 2018, by driving factors through the LMDI-I method and IDA index, on regional level. All the data were obtained by official sources in the country. The main results obtained were: (i) the increase of household numbers was found to be one of the main drivers of consumption growth; (ii) household income showed no control over consumption in hot climate regions, except in low- income households; (iii) tariff showed to impose restrictions on consumption, also mainly in low-income households. Unprecedentedly, the results showed that the electricity consumption in Brazil varies with population age, with a trend of consumption growth up to the age 59, and a sharp reduction from the age of 60. The study presents opportunities to be contemplated in research and in energy policies.

scholarly journals Reducing High Energy Demand Associated with Air-Conditioning Needs in Saudi Arabia

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 87 ◽  
Author(s):  
Jubran Alshahrani ◽  
Peter Boait
Keyword(s):  
Saudi Arabia ◽  
Energy Consumption ◽  
Energy Demand ◽  
Air Conditioning ◽  
Residential Buildings ◽  
Electricity Consumption ◽  
High Energy ◽  
Residential Sector ◽  
Smart Control ◽  
Ac Systems

Electricity consumption in the Kingdom of Saudi Arabia (KSA) has grown at an annual rate of about 7% as a result of population and economic growth. The consumption of the residential sector accounts for over 50% of the total energy generation. Moreover, the energy consumption of air-conditioning (AC) systems has become 70% of residential buildings’ total electricity consumption in the summer months, leading to a high peak electricity demand. This study investigates solutions that will tackle the problem of high energy demand associated with KSA’s air-conditioning needs in residential buildings. To reduce the AC energy consumption in the residential sector, we propose the use of smart control in the thermostat settings. Smart control can be utilized by (i) scheduling and advance control of the operation of AC systems and (ii) remotely setting the thermostats appropriately by the utilities. In this study, we model typical residential buildings and, crucially, occupancy behavior based on behavioral data obtained through a survey. The potential impacts in terms of achievable electricity savings of different AC operation modes for residential houses of Riyadh city are presented. The results from our computer simulations show that the solutions intended to reduce energy consumption effectively, particularly in the advance mode of operation, resulted in a 30% to 40% increase in total annual energy savings.

scholarly journals Research on Intelligent Metrological Verification Technology Based on Internet of Things

2021 ◽  
Vol 2108 (1) ◽  
pp. 012058
Author(s):  
Meng Yu ◽  
Jianmin Liu ◽  
Xiaowen Li ◽  
Nana Wang ◽  
Fan Wang
Keyword(s):  
Internet Of Things ◽  
Electric Energy ◽  
Electricity Consumption ◽  
System Construction ◽  
Cycle Simulation ◽  
Verification System ◽  
Electricity Trade ◽  
Residential Electricity ◽  
Residential Electricity Consumption ◽  
The Internet Of Things

Abstract Intelligent metrological verification is of great significance to improve the accuracy of equipment. Especially in the current situation of rapid increase in residential electricity consumption, electric energy meters have received widespread attention from the society as an important device that affects electricity trade settlement. In this research, this article will be based on the technological environment of the Internet of Things. After the analysis of the intelligent metrological verification system, the key technical means will be highlighted, including automatic sealing technology, automatic connection and disconnection technology, and cycle simulation system design. This article provides support for the verification system construction of the metrological center.

Analysis and modeling of active occupancy of the residential sector in Spain: An indicator of residential electricity consumption

Energy Policy ◽  
2013 ◽  
Vol 62 ◽  
pp. 742-751 ◽  
Author(s):  
M.A. López-Rodríguez ◽  
I. Santiago ◽  
D. Trillo-Montero ◽  
J. Torriti ◽  
A. Moreno-Munoz
Keyword(s):  
Electricity Consumption ◽  
Residential Sector ◽  
Residential Electricity ◽  
Residential Electricity Consumption

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.

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