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  • Open Access


    Predictive Multimodal Deep Learning-Based Sustainable Renewable and Non-Renewable Energy Utilization

    Abdelwahed Motwakel1,*, Marwa Obayya2, Nadhem Nemri3, Khaled Tarmissi4, Heba Mohsen5, Mohammed Rizwanulla6, Ishfaq Yaseen6, Abu Sarwar Zamani6

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 1267-1281, 2023, DOI:10.32604/csse.2023.037735

    Abstract Recently, renewable energy (RE) has become popular due to its benefits, such as being inexpensive, low-carbon, ecologically friendly, steady, and reliable. The RE sources are gradually combined with non-renewable energy (NRE) sources into electric grids to satisfy energy demands. Since energy utilization is highly related to national energy policy, energy prediction using artificial intelligence (AI) and deep learning (DL) based models can be employed for energy prediction on RE and NRE power resources. Predicting energy consumption of RE and NRE sources using effective models becomes necessary. With this motivation, this study presents a new multimodal fusion-based predictive tool for energy… More >

  • Open Access


    Sustainable Development of Energy Systems and Climate Systems: Key Issues and Perspectives

    Bing Wang1,2,*, Lu Li1, Xinru Jiang1

    Energy Engineering, Vol.120, No.8, pp. 1763-1773, 2023, DOI:10.32604/ee.2023.027846

    Abstract Climate change and energy security issues are prominent challenges in current energy system management, which should be governed synergistically due to the feedback relationships between them. The “Energy Systems Management and Climate Change” Special Collection Issue in the journal of Energy Engineering provide insights into the field of energy systems management and climate change. From an extended perspective, this study discusses the key issues, research methods and models for energy system management and climate change research. Comprehensive and accurate prediction of energy supply and demand, the evaluation on the energy system resilience to climate change and the coupling methodology application… More > Graphic Abstract

    Sustainable Development of Energy Systems and Climate Systems: Key Issues and Perspectives

  • Open Access



    Priyanka Chauhana , Himani Pathaniaa, Shriyaa, Neetikaa, Nidhia, Sakshia, Sheetal Choudharya, Rajesh Kumarb,*, Mamta Sharmaa,c,*, Sameer Rahatekard, Anil Kumare,*

    Frontiers in Heat and Mass Transfer, Vol.18, pp. 1-20, 2022, DOI:10.5098/hmt.18.34

    Abstract Solar dryers have proven to be one of the best environmentally friendly approaches for drying purpose of medicinal plants and agricultural crops. Use of solar radiations in drying purpose of plant parts has proven economically as well as environmentally responsible and sensible application. Plants are the treasure of nature with hidden medicinal properties to treat diseases. Plant material should be processed properly for extraction of medicinal molecules in terms drying to decrease the manufacturing loss and to increase the standard of product. Cognizances of ethnobotanical knowledge on plant wealth are extremely beneficial in utilization and exploration of natural resources. Conventionally,… More >

  • Open Access



    Hawraa T. Gateaa , Atheer S. Hassona, Adil A. Alwanb, Mohammed Y. Jabbarb, Azher M. Abeda

    Frontiers in Heat and Mass Transfer, Vol.18, pp. 1-6, 2022, DOI:10.5098/hmt.18.5

    Abstract The present work is an experimental study into the thermal performance of air conditioning system (split unit), bases on using renewable energy as an assisted facter. The serpentine tube flat plate solar collector (STFPSC) is combined with 1-ton capacity split air conditioning system, which is installed after the compressor to superheat the refrigerant that leaves the compressor. The conventional air conditioning (A/C) system is compared with the suggested system. The results show that the coefficient of performance (COP) of the solar assisted air conditioning system (SAAC), is affected by the enhancement of the solar collector, which enrolls the effect of… More >

  • Open Access



    Yiding Cao

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-16, 2022, DOI:10.5098/hmt.19.2

    Abstract This paper introduces a novel air-water thermal power plant working at low temperatures and employing hot water as a heat-supply fluid to produce utility-scale power with high second-law efficiency. The air-water power plant uses both air and water as working fluids and employs a direct-contact mass and heat transfer packing to facilitate latent heat (in terms of vapor) and sensible heat transfer from the hot water to moist air for expansion in a gas turbine to produce power. A cycle analysis indicates that with a heat source temperature of around 100o C, the power plant could achieve a power capacity… More >

  • Open Access


    Assessment on Fault Diagnosis and State Evaluation of New Power Grid: A Review

    Bo Yang1, Yulin Li1, Yaxing Ren2, Yixuan Chen3, Xiaoshun Zhang4, Jingbo Wang5,*

    Energy Engineering, Vol.120, No.6, pp. 1287-1293, 2023, DOI:10.32604/ee.2023.027801

    Abstract This article has no abstract. More >

  • Open Access


    Regional Renewable Energy Optimization Based on Economic Benefits and Carbon Emissions

    Cun Wei1, Yunpeng Zhao2,*, Mingyang Cong1, Zhigang Zhou1,*, Jingzan Yan3, Ruixin Wang1, Zhuoyang Li1, Jing Liu1

    Energy Engineering, Vol.120, No.6, pp. 1465-1484, 2023, DOI:10.32604/ee.2023.026337

    Abstract With increasing renewable energy utilization, the industry needs an accurate tool to select and size renewable energy equipment and evaluate the corresponding renewable energy plans. This study aims to bring new insights into sustainable and energy-efficient urban planning by developing a practical method for optimizing the production of renewable energy and carbon emission in urban areas. First, we provide a detailed formulation to calculate the renewable energy demand based on total energy demand. Second, we construct a dual-objective optimization model that represents the life cycle cost and carbon emission of renewable energy systems, after which we apply the differential evolution… More >

  • Open Access


    Identification of Type of a Fault in Distribution System Using Shallow Neural Network with Distributed Generation

    Saurabh Awasthi*, Gagan Singh, Nafees Ahamad

    Energy Engineering, Vol.120, No.4, pp. 811-829, 2023, DOI:10.32604/ee.2023.026863

    Abstract A distributed generation system (DG) has several benefits over a traditional centralized power system. However, the protection area in the case of the distributed generator requires special attention as it encounters stability loss, failure re-closure, fluctuations in voltage, etc. And thereby, it demands immediate attention in identifying the location & type of a fault without delay especially when occurred in a small, distributed generation system, as it would adversely affect the overall system and its operation. In the past, several methods were proposed for classification and localisation of a fault in a distributed generation system. Many of those methods were… More >

  • Open Access


    Optimal Location to Use Solar Energy in an Urban Situation

    Ngakan Ketut Acwin Dwijendra1,*, Indrajit Patra2, N. Bharath Kumar3, Iskandar Muda4, Elsayed M. Tag El Din5

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 815-829, 2023, DOI:10.32604/cmc.2023.034297

    Abstract This study conducted in Lima, Peru, a combination of spatial decision making system and machine learning was utilized to identify potential solar power plant construction sites within the city. Sundial measurements of solar radiation, precipitation, temperature, and altitude were collected for the study. Gene Expression Programming (GEP), which is based on the evolution of intelligent models, and Artificial Neural Networks (ANN) were both utilized in this investigation, and the results obtained from each were compared. Eighty percent of the data was utilized during the training phase, while the remaining twenty percent was utilized during the testing phase. On the basis… More >

  • Open Access


    A Joint Optimization Algorithm for Renewable Energy System

    Imran Khan1, Firdaus Muhammad-Sukki2, Jorge Alfredo Ardila Rey3, Abdullahi Abubakar Mas’ud4, Saud Jazaa Alshammari4, Dag Øivind Madsen5,*

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1979-1989, 2023, DOI:10.32604/iasc.2023.034106

    Abstract Energy sustainability is a hot topic in both scientific and political circles. To date, two alternative approaches to this issue are being taken. Some people believe that increasing power consumption is necessary for countries’ economic and social progress, while others are more concerned with maintaining carbon consumption under set limitations. To establish a secure, sustainable, and economical energy system while mitigating the consequences of climate change, most governments are currently pushing renewable growth policies. Energy markets are meant to provide consumers with dependable electricity at the lowest possible cost. A profit-maximization optimal decision model is created in the electric power… More >

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