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  • Open Access

    ARTICLE

    The Relationship between Urbanization and Domestic Energy Consumption: An Empirical Study of Shandong Province, China

    Doudou Liu1,*, Liang Qiao2,3, Feng Zhang4, Xueliang Yuan2

    Energy Engineering, Vol.118, No.5, pp. 1395-1409, 2021, DOI:10.32604/EE.2021.014697

    Abstract The rapid development of urbanization has led to a rapid increase in total energy consumption. The proportion of domestic energy consumption to total energy consumption has gradually increased and has become the major driving force for energy consumption. With the pressure from urbanization and domestic energy consumption, it is necessary to study the impact of urbanization on domestic energy consumption of the regional level and to explore the function paths of these two factors. The findings are helpful to realize sustainable development based on the actual situation analysis, horizontal survey data and statistical yearbook panel… More >

  • Open Access

    ARTICLE

    LOA-RPL: Novel Energy-Efficient Routing Protocol for the Internet of Things Using Lion Optimization Algorithm to Maximize Network Lifetime

    Sankar Sennan1, Somula Ramasubbareddy2, Anand Nayyar3,4, Yunyoung Nam5,*, Mohamed Abouhawwash6,7

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 351-371, 2021, DOI:10.32604/cmc.2021.017360

    Abstract Energy conservation is a significant task in the Internet of Things (IoT) because IoT involves highly resource-constrained devices. Clustering is an effective technique for saving energy by reducing duplicate data. In a clustering protocol, the selection of a cluster head (CH) plays a key role in prolonging the lifetime of a network. However, most cluster-based protocols, including routing protocols for low-power and lossy networks (RPLs), have used fuzzy logic and probabilistic approaches to select the CH node. Consequently, early battery depletion is produced near the sink. To overcome this issue, a lion optimization algorithm (LOA)… More >

  • Open Access

    ARTICLE

    Impact of Demographic Transition on Household Energy Consumption: A Case from China

    Dequn Zhou, Xinyi Gu, Hao Ding*

    Energy Engineering, Vol.118, No.4, pp. 961-979, 2021, DOI:10.32604/EE.2021.014101

    Abstract Understanding how aging population and low fertility affect household energy consumption is important for optimizing household energy consumption and reaching effective policies. This paper studies the impacts of demographic transition on household energy consumption based on panel data of 30 provinces in China from 2005 to 2016. Child-age dependency rate (CDR) and old-age dependency rate (ODR) are selected to track the shifts in age structure. They are introduced into a STIRPAT model to measure their impacts on household energy consumption. Besides, 8 representative regions are additionally chosen and investigated to find some regional characteristics. The More >

  • Open Access

    ARTICLE

    UAV Clustering Scheme for FANETs using Elbow-Hybrid Metaheuristic Techniques

    Kundan Kumar*, Rajeev Arya

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 321-337, 2021, DOI:10.32604/csse.2021.016748

    Abstract Great strides have been made to realistically deploy multiple Unmanned Aerial Vehicles (UAVs) within the commercial domain, which demands a proper coordination and reliable communication among the UAVs. UAVs suffer from limited time of flight. Conventional techniques suffer from high delay, low throughput, and early node death due to aerial topology of UAV networks. To deal with these issues, this paper proposes a UAV parameter vector which considers node energy, channel state information and mobility of UAVs. By intelligently estimating the proposed parameter, the state of UAV can be predicted closely. Accordingly, efficient clustering may… More >

  • Open Access

    ARTICLE

    The Non-Linear Effect of China’s Energy Consumption on Eco-Environment Pollution

    Chunhua Jin, Hanqing Hu*

    Energy Engineering, Vol.118, No.3, pp. 655-665, 2021, DOI:10.32604/EE.2021.014281

    Abstract With the increase of total energy consumption, eco-environmental quality drops sharply, which has attracted concerns from all circles. It has become the top priority of construction of socialist ecological civilization to clarify the influences of energy consumption on the level of eco-environmental pollution. Ecological environmental pollution control cannot be one size fits all. It can avoid resource depletion and environmental deterioration via adjusting measures to local conditions to coordinate ecological environmental pollution and energy consumption problems. In this essay, entropy method is adopted to measure the composite indexes of eco-environmental pollution of 30 provinces and… More >

  • Open Access

    ARTICLE

    Enhanced Thermal Performance of Roofing Materials by Integrating Phase Change Materials to Reduce Energy Consumption in Buildings

    Chanita Mano, Atthakorn Thongtha*

    Journal of Renewable Materials, Vol.9, No.3, pp. 495-506, 2021, DOI:10.32604/jrm.2021.013201

    Abstract This work focused on characterizing and improving the thermal behavior of metal sheet roofing. To decrease the heat transfer from the roof into a building, we investigated the efficiency of four types of phase change materials, with different melting points: PCM І, PCM II, PCM III and PCM IV, when used in conjunction with a sheet metal roof. The exterior metal roofing surface temperature was held constant at 50°C, 60°C, 70°C and 80°C, using a thermal source (halogen lights) for 360 min to investigate and compare the thermal performance of the metal sheet roofing with… More >

  • Open Access

    ARTICLE

    ECO-BAT: A New Routing Protocol for Energy Consumption Optimization Based on BAT Algorithm in WSN

    Mohammed Kaddi1,*, Abdallah Banana2, Mohammed Omari1

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1497-1510, 2021, DOI:10.32604/cmc.2020.012116

    Abstract Wireless sensor network (WSN) has been widely used due to its vast range of applications. The energy problem is one of the important problems influencing the complete application. Sensor nodes use very small batteries as a power source and replacing them is not an easy task. With this restriction, the sensor nodes must conserve their energy and extend the network lifetime as long as possible. Also, these limits motivate much of the research to suggest solutions in all layers of the protocol stack to save energy. So, energy management efficiency becomes a key requirement in… More >

  • Open Access

    ARTICLE

    Parametric Evaluation of Routing Algorithms in Network on Chip Architecture

    Mohammad Behrouzian Nejad

    Computer Systems Science and Engineering, Vol.35, No.5, pp. 367-375, 2020, DOI:10.32604/csse.2020.35.367

    Abstract Considering that routing algorithms for the Network on Chip (NoC) architecture is one of the key issues that determine its ultimate performance, several things have to be considered for developing new routing algorithms. This includes examining the strengths, capabilities, and weaknesses of the commonly proposed algorithms as a starting point for developing new ones.
    Because most of the algorithms presented are based on the well-known algorithms that are studied and evaluated in this research. Finally, according to the results produced under different conditions, better decisions can be made when using the aforementioned algorithms as well as… More >

  • Open Access

    ARTICLE

    Energy Retrofitting of School Buildings in UAE

    Abdelsalam Aldawoud*, Fatma Elzahraa Hosny, Rasha Mdkhana

    Energy Engineering, Vol.117, No.6, pp. 381-395, 2020, DOI:10.32604/EE.2020.011863

    Abstract The opportunities for energy savings by retrofitting of the existing school buildings in the United Arab Emirates (UAE) are significant because of their excessive energy consumption and space cooling demand. In this research, energy modeling and simulation are utilized with the use of Design Builder software to examine the influence of various retrofitting measures of air-conditioning (A/C) system and building envelope components on the energy use. Several combined measures are implemented and assessed to achieve the main goal of this research of selecting the best course of action to reduce cooling energy consumption for existing… More >

  • Open Access

    ARTICLE

    Research on Prediction Methods of Energy Consumption Data

    Ning Chen1, Naernaer Xialihaer2,3, Weiliang Kong3, Jiping Ren2,3,*

    Journal of New Media, Vol.2, No.3, pp. 99-109, 2020, DOI:10.32604/jnm.2020.09889

    Abstract This paper analyzes the energy consumption situation in Beijing, based on the comparison of common energy consumption prediction methods. Here we use multiple linear regression analysis, grey prediction, BP neural net-work prediction, grey BP neural network prediction combined method, LSTM long-term and short-term memory network model prediction method. Firstly, before constructing the model, the whole model is explained theoretically. The advantages and disadvantages of each model are analyzed before the modeling, and the corresponding advantages and disadvantages of these models are pointed out. Finally, these models are used to construct the Beijing energy forecasting model, More >

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