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  • Open Access

    ARTICLE

    Modeling and Optimization of Solar Collector Design for the Improvement of Solar-Air Source Heat Pump Building Heating System

    Jiarui Wu1, Yuzhen Kang2, Junxiao Feng1,*

    Energy Engineering, Vol.120, No.12, pp. 2783-2802, 2023, DOI:10.32604/ee.2023.029358 - 29 November 2023

    Abstract To enhance system stability, solar collectors have been integrated with air-source heat pumps. This integration facilitates the concurrent utilization of solar and air as energy sources for the system, leading to an improvement in the system's heat generation coefficient, overall efficiency, and stability. In this study, we focus on a residential building located in Lhasa as the target for heating purposes. Initially, we simulate and analyze a solar-air source heat pump combined heating system. Subsequently, while ensuring the system meets user requirements, we examine the influence of solar collector installation angles and collector area on More >

  • Open Access

    PROCEEDINGS

    Solar Energy Storage in Deep Saline Aquifers: Three-Dimensional HydroThermo Modeling and Feasibility Analyses

    Yanyong Wang1,2, Kunpeng Zhong1, Xiaoguang Wang1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09443

    Abstract The storage of solar energy in the subsurface in terms of heat is considered as a promising way for energy storage and conversion in future, which has a great potential to solve the temporal and spatial mismatch between energy demand and supply. Thermal energy storage in deep saline aquifers is capable to convert intermittent solar energy into high temperature stable geothermal energy. In this study, we propose a new solar energy storage and conversion system in which solar energy is firstly converted into heat using parabolic trough and then thermal energy storage in deep saline… More >

  • Open Access

    ARTICLE

    Research on Operation Optimization of Heating System Based on Electric Storage Coupled Solar Energy and Air Source Heat Pump

    Jingxiao Han1, Chuanzhao Zhang2, Lu Wang3,*, Zengjun Chang1, Qing Zhao1, Ying Shi4, Jiarui Wu5, Xiangfei Kong3

    Energy Engineering, Vol.120, No.9, pp. 1991-2011, 2023, DOI:10.32604/ee.2023.029749 - 31 July 2023

    Abstract For heating systems based on electricity storage coupled with solar energy and an air source heat pump (ECSA), choosing the appropriate combination of heat sources according to local conditions is the key to improving economic efficiency. In this paper, four cities in three climatic regions in China were selected, namely Nanjing in the hot summer and cold winter region, Tianjin in the cold region, Shenyang and Harbin in the severe cold winter region. The levelized cost of heat (LCOH) was used as the economic evaluation index, and the energy consumption and emissions of different pollutants… More > Graphic Abstract

    Research on Operation Optimization of Heating System Based on Electric Storage Coupled Solar Energy and Air Source Heat Pump

  • Open Access

    ARTICLE

    CT-NET: A Novel Convolutional Transformer-Based Network for Short-Term Solar Energy Forecasting Using Climatic Information

    Muhammad Munsif1,2, Fath U Min Ullah1,2, Samee Ullah Khan1,2, Noman Khan1,2, Sung Wook Baik1,2,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1751-1773, 2023, DOI:10.32604/csse.2023.038514 - 28 July 2023

    Abstract Photovoltaic (PV) systems are environmentally friendly, generate green energy, and receive support from policies and organizations. However, weather fluctuations make large-scale PV power integration and management challenging despite the economic benefits. Existing PV forecasting techniques (sequential and convolutional neural networks (CNN)) are sensitive to environmental conditions, reducing energy distribution system performance. To handle these issues, this article proposes an efficient, weather-resilient convolutional-transformer-based network (CT-NET) for accurate and efficient PV power forecasting. The network consists of three main modules. First, the acquired PV generation data are forwarded to the pre-processing module for data refinement. Next, to… More >

  • Open Access

    ARTICLE

    Hyperparameter Optimization Based Deep Belief Network for Clean Buses Using Solar Energy Model

    Shekaina Justin1,*, Wafaa Saleh1,2, Tasneem Al Ghamdi1, J. Shermina3

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1091-1109, 2023, DOI:10.32604/iasc.2023.032589 - 29 April 2023

    Abstract Renewable energy has become a solution to the world’s energy concerns in recent years. Photovoltaic (PV) technology is the fastest technique to convert solar radiation into electricity. Solar-powered buses, metros, and cars use PV technology. Such technologies are always evolving. Included in the parameters that need to be analysed and examined include PV capabilities, vehicle power requirements, utility patterns, acceleration and deceleration rates, and storage module type and capacity, among others. PVPG is intermittent and weather-dependent. Accurate forecasting and modelling of PV system output power are key to managing storage, delivery, and smart grids. With… More >

  • Open Access

    ARTICLE

    Modelling and Optimization of Clean and Affordable Electricity Solution for Small-Scale Savings and Credit Cooperatives (SACCOs)

    Xiaomei Lin1, Samuel Bimenyimana2,*, Chen Wang2, Godwin Norense Osarumwensa Asemota3,4, Jeanne Paula Ihirwe5, Aphrodis Nduwamungu3, Etienne Ntagwirumugara6, Athanase Gace6, Changfu Yuan7, Yaowen Chen7, Changtai Li8, Shilpi Bora9, YiYi Mo10, Jiyu Lai11, Mabao Wu7, Yong Tang12, Merit M. Huang13

    Energy Engineering, Vol.120, No.4, pp. 791-810, 2023, DOI:10.32604/ee.2023.026746 - 13 February 2023

    Abstract Renewable energy exploitation is among the development strategies set by the government of Rwanda on the roadmap to 2023/2024 universal electricity access and the United Nations plans by 2030. Numerous previous studies on clean energy technologies in Rwanda have mostly focused on households’ usage but there are currently no studies describing the feasibility of clean energy technologies for financial institutions. The skepticism on renewable energy in Africa was previously reported by some personnel. Having realized that most SACCOs (Savings and Credit Co-Operatives) in Rwanda use diesel technology for backup/emergency electricity supply, taking consideration of abundant… More >

  • Open Access

    ARTICLE

    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 - 06 February 2023

    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… More >

  • Open Access

    ARTICLE

    An Evaluation to the Performance of Evacuated Tube Solar Heaters for Arid and Hot Areas

    Asaad H. Sayer1, Samah Hussein Kadhim1, Hameed B. Mahood2,*

    Energy Engineering, Vol.120, No.3, pp. 587-596, 2023, DOI:10.32604/ee.2023.025407 - 03 January 2023

    Abstract Solar energy applications could be the best alternative to the conventional fuels for the purposes of domestic, water and space heating and some industries in the sunny, arid, and hot areas. In the present study, the performance of an evacuated tube solar heater for water heating for months of February and March was experimentally investigated. This was performed in a hot and arid area (Nasiriya City, South of Iraq). A solar heater with ten evacuated tube solar collectors with a capacity of 100 liter was used in the experiments. Each evacuated tube had a length… More >

  • Open Access

    ARTICLE

    Photovoltaic Models Parameters Estimation Based on Weighted Mean of Vectors

    Mohamed Elnagi1, Salah Kamel2, Abdelhady Ramadan2, Mohamed F. Elnaggar3,4,*

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5229-5250, 2023, DOI:10.32604/cmc.2023.032469 - 28 December 2022

    Abstract Renewable energy sources are gaining popularity, particularly photovoltaic energy as a clean energy source. This is evident in the advancement of scientific research aimed at improving solar cell performance. Due to the non-linear nature of the photovoltaic cell, modeling solar cells and extracting their parameters is one of the most important challenges in this discipline. As a result, the use of optimization algorithms to solve this problem is expanding and evolving at a rapid rate. In this paper, a weIghted meaN oF vectOrs algorithm (INFO) that calculates the weighted mean for a set of vectors… More >

  • Open Access

    ARTICLE

    Solar Energy Harvesting Using a Timer-Based Relay Selection

    Raed Alhamad1,*, Hatem Boujemaa2

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 2149-2159, 2023, DOI:10.32604/cmc.2023.033222 - 22 September 2022

    Abstract In this paper, the throughput and delay of cooperative communications are derived when solar energy is used and relay node is selected using a timer. The source and relays harvest energy from sun using a photo voltaic system. The harvested power is used by the source to transmit data to the relays. Then, a selected relay amplifies the signal to the destination. Opportunistic, partial and reactive relay selection are used. The relay transmits when its timer elapses. The timer is set to a value proportional to the inverse of its Signal to Noise Ratio (SNR).… More >

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