Subjects -> ENERGY (Total: 414 journals)
    - ELECTRICAL ENERGY (12 journals)
    - ENERGY (252 journals)
    - ENERGY: GENERAL (7 journals)
    - NUCLEAR ENERGY (40 journals)
    - PETROLEUM AND GAS (58 journals)
    - RENEWABLE ENERGY (45 journals)

ENERGY (252 journals)            First | 1 2 | Last

Showing 201 - 400 of 406 Journals sorted by number of followers
Energy and Climate Change     Hybrid Journal   (Followers: 17)
eScience     Open Access   (Followers: 14)
Fuel Communications     Open Access   (Followers: 12)
Climate and Energy     Full-text available via subscription   (Followers: 11)
IEEE Open Journal of Power Electronics     Open Access   (Followers: 9)
Advanced Energy and Sustainability Research     Open Access   (Followers: 8)
Forces in Mechanics     Open Access   (Followers: 7)
Applications in Energy and Combustion Science     Open Access   (Followers: 6)
Batteries & Supercaps     Hybrid Journal   (Followers: 5)
Advanced Materials Technologies     Hybrid Journal   (Followers: 5)
Journal of Power Electronics     Hybrid Journal   (Followers: 5)
Journal of Technology Management for Growing Economies     Open Access   (Followers: 5)
Discover Sustainability     Open Access   (Followers: 5)
Global Transitions Proceedings     Open Access   (Followers: 5)
CPSS Transactions on Power Electronics and Applications     Open Access   (Followers: 4)
Discover Energy     Open Access   (Followers: 4)
Energy and AI     Open Access   (Followers: 4)
e-Prime : Advances in Electrical Engineering, Electronics and Energy     Open Access   (Followers: 4)
Economics of Energy & Environmental Policy     Hybrid Journal   (Followers: 3)
Energy Conversion and Economics     Open Access   (Followers: 3)
World Oil Trade     Hybrid Journal   (Followers: 3)
Materials Reports : Energy     Open Access   (Followers: 3)
Advances in Applied Energy     Open Access   (Followers: 3)
Smart Energy     Open Access   (Followers: 3)
Energy Storage     Hybrid Journal   (Followers: 2)
IEEE Open Access Journal of Power and Energy     Open Access   (Followers: 2)
Journal of Power Sources Advances     Open Access   (Followers: 2)
Solar Compass     Open Access   (Followers: 2)
Energy Nexus     Open Access   (Followers: 2)
Journal of Smart Systems and Stable Energy     Open Access   (Followers: 2)
Global Transitions     Open Access   (Followers: 1)
EnergyChem     Hybrid Journal   (Followers: 1)
CSEE Journal of Power and Energy Systems     Open Access   (Followers: 1)
Carbon Energy     Open Access   (Followers: 1)
Mekanika : Jurnal Teknik Mesin i     Open Access   (Followers: 1)
Journal of Photonics for Energy     Hybrid Journal   (Followers: 1)
Energetic Materials Frontiers     Open Access   (Followers: 1)
Solar Energy Advances     Open Access   (Followers: 1)
Unconventional Resources     Open Access  
Energy Geoscience     Open Access  
Oil and Energy Trends : Annual Statistical Review     Full-text available via subscription  
KnE Energy     Open Access  
Current Opinion in Green and Sustainable Chemistry     Hybrid Journal  
Energy Transitions     Open Access  
Journal of Energy Research and Reviews     Open Access  

  First | 1 2 | Last

Similar Journals
Journal Cover
Journal of Smart Systems and Stable Energy
Number of Followers: 2  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2958-0293
Published by Forscher Publication Homepage  [1 journal]
  • Optimization of Combined Cooling, Heating, And Power System using Amended
           supply-demand-based optimizer

    • Abstract: The required cold and heat are supplied by recycling the heat lost from the stimulus in combined cooling, heating, and power (CCHP) generation system. The present study proposes a new optimal arrangement for a CCHP system for annual dynamic simulation. This study uses CCHP system to design a separated stand-alone generation system to provide higher effectiveness. The system is then improved by a new enhanced metaheuristic technique, namely supply-demand-based optimization algorithm to enhance the efficiency of the designed system. The method is implemented on a hospital and its achievements are put in comparison with several different newest optimization techniques. The achievements indicate that the electricity system purchased from the utility network and fuel consumption for the optimized combined cooling, heating, and power system in comparison with the system of separated generation provides a decreasing trend.
  • Optimum Sizing of CCHP System using Modified Group Teaching Optimization

    • Abstract: A new technique is prsented in this paper for optimum design of a combined cooling heating and power (CCHP) system. The prime mover in this study is a gas turbine and this is designed for a rural area in Zhaoping County, Guangxi, China. The effectiveness of the method is assessed based on four main parameters: exergetic, energetic, economic, and environmental features. A Modified Group Teaching Optimization Algorithm (MGTO)is utilized for achieving resuls with better accuracy and convergence. The achievements of the suggested MGTO-based technique are put in comparison with genetic optimizer-based method and improved owl optimization algorithm-based method to illustrate the method higher efficiency.
  • Developing Hierarchical RBF Neural Network for Model Identification of
           SOFCs using a Developed Coronavirus Herd Immunity Algorithm

    • Abstract: A new Blackbox technique has been presented in the current paper for model estimation of the solid oxide fuel cells (SOFCs) for providing better results. The proposed method is based on a Hierarchical Radial Basis Function (HRBF). The presented method is then developed by a new modified metaheuristic, called Developed Coronavirus Herd Immunity Algorithm. The suggested model has been named DCHIA-HRBF. The proposed model is then trained by some data and prepared for the identification and prediction. The model is then analyzed and were put in comparison with several latest techniques for validation of the efficiency of the technique. It is also verified by the empirical data to prove its validation with the real data. Simulation results specified that the suggested DCHIA-HRBF delivers high effectiveness as an identifier and prediction tool for the SOFCs.
  • Improved Mayfly Algorithm for Optimal Design of Hybrid PV/Diesel Generator
           along with Battery: Application to Shilisha Village in Maowusu Desert,

    • Abstract: This paper presents an optimal size selection of a hybrid renewable PV/DG/Battery system in a remote area in Maowusu Desert, China. The idea is to select optimal numbers of PV panels, DGs, and battery storage units by minimizing of the total annual cost of the hybrid system. The optimization of the problem is performed based on a new improved version of Mayfly Algorithm (IMA) which is introduced for improving the effectiveness of the optimization in terms of accuracy, convergence, and consistency. Simulation results of the suggested algorithm are compared with some different optimization algorithm to show the prominence of the method. The proposed method shows that the optimal numbers for the optimized system includes 28 PV panels, 88 battery units, and 1 DG unit. Final results show that utilizing the suggested hybrid system gives the best minimum operational cost of the system compared with others. 
  • Optimal Configuration of a HRES system by Amended Rain Optimizer

    • Abstract: In this paper, a new technical and economic analysis for a hybrid system of energy has been performed. The study presents a new procedure for optimal modeling of the hybrid renewable energy system (HRES). The main idea is to optimize the hybrid system configuration based on a multiple-criteria optimization, including three objectives. To simplify the problem and turning it to a single objective problem of optimization, ε-constraints technique has been used. This optimization is done by minimizing the capital cost (CC) and maximizing the electrical power effectiveness and the power supply consistency. To provide a well solution, a new amended design of the rain optimizer has been employed. The method provided a pareto solution with three groups that can be selected based on the decision maker’s purpose.
  • Optimum Structure for a CCHP System by Amended Coyote Optimizer

    • Abstract: The present study proposes a new optimal configuration of a combined cooling, heating, and power (CCHP) system for annual dynamic simulation. To provide higher efficiency from the CCHP system, a new enhanced bio-inspired algorithm, namely Amended Coyote Optimizer is designed and utilized. The proposed optimal technique is then carried out to a commercial building in Tongchuan, China. The simulations of the suggested method are finally confirmed by the data achieved by the case study which is done to show the method efficacy. Simulation achievements showed that the suggested technique has better effectiveness to provide similar data with the real value. 
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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