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Article
Thermodynamics
Jin Zhao et al.
Summary: The study evaluates potential solutions to Pakistan's energy shortages with a focus on renewable green hydrogen sources from geothermal, wind, biomass, and solar energy. Wind energy is found to be the most efficient source for producing hydrogen energy in Pakistan, helping to meet local energy needs and reduce fossil fuel usage.
Article
Thermodynamics
Majid Astaneh et al.
Summary: This study presents a dual-stage multiphysics simulation optimization methodology for comprehensive concept design of Lithium-ion (Li-ion) battery packs for EV applications. The optimization considers specific energy and maximum temperature as design objectives, resulting in improved battery performance under realistic working scenarios.
Article
Economics
Maximilian J. Blaschke
Summary: This study determines the price volatility needed for automatic load shifting and suggests that current volatility does not compensate for metering costs, but an 'ad-valorem' electricity taxation dependent on exchange prices could make demand-side management profitable.
Article
Multidisciplinary Sciences
Siwar Khemakhem et al.
Summary: The smart city optimizes energy management through coordinated integration of Plug-in Electric Vehicles (PEVs), providing high-quality living standards and increasing energy efficiency. By managing charging/discharging cycles and smoothing power load profiles, the city can enhance stability within the smart grid framework.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Edstan Fernandez et al.
Summary: This paper proposes an energy management system for a smart locality that facilitates local energy trading, and develops two optimization frameworks for optimal resource allocation and revenue maximization. The study finds that energy sharing can maximize overall revenue, and grid pricing scheme is a major factor in determining revenue sharing between entities.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Mina Jafari et al.
Summary: This paper proposes a linear model for optimizing distributed energy resources and transportation systems in a smart city, utilizing Regenerative Breaking Energy to improve subway system operation and minimizing total cost through optimization formulation. A degradation model is developed to extend PEVs battery life, and an unscented transformation is used to handle uncertainty, evaluating the model's performance in both stochastic and deterministic frameworks.
Article
Energy & Fuels
Jia Liu et al.
Summary: This study develops peer-to-peer energy trading management and optimization approaches for renewable energy systems integrated with hydrogen and battery vehicle storage. The results show that the hydrogen vehicle-integrated system performs better in supply performance, while the battery vehicle-integrated system excels in grid integration, economic and environmental aspects. Time-of-use peer trading strategy is recommended for office buildings with fewer battery vehicles, while a strategy without time-of-use management is preferred for large vehicle numbers in diversified building groups for techno-economic-environmental optimization.
Article
Energy & Fuels
Hongliang Ma et al.
Summary: The study reveals the importance of optimized yaw angles for wind turbines in increasing power efficiency, the cooperative yaw control strategy can be simplified to two yaw angles to maximize the total power production of wind farms.
Article
Engineering, Electrical & Electronic
Masoud Alilou et al.
Summary: This paper investigates energy management of smart homes in a residential smart grid, including utilizing wind turbines and electric vehicles as energy sources, and implementing real-time pricing tariffs for demand response programs to achieve optimal device schedules.
ELECTRICAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Namilakonda Srilatha et al.
Summary: A new Real-Time Hierarchical Congestion Management (RHCM) technique is proposed to optimize demand response loads and conventional generators scheduling using Chaotic Darwinian Particle Swarm Optimization, in order to alleviate transmission congestion issues. Solar and wind energy sources are modelled using Rayleigh and Beta probability density functions, with Latin Hyper cube sampling adopted for sampling.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Bin Bai et al.
Summary: The paper introduces a method named MFM-based improved particle swarm reliability optimization (MFM-IPSRO) which combines particle swarm optimization (PSO) and multi-failure mode (MFM) reliability to solve engineering reliability problems efficiently and accurately, showing superiority to existing methods in both accuracy and efficiency.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Hardware & Architecture
Mona A. Alduailij et al.
Summary: Predicting energy consumption in buildings is crucial for digital transformation and energy savings, utilizing IoT devices for monitoring and control. Statistical, time series, and machine learning techniques are proposed to achieve energy efficiency in predicting electricity consumption for different building types.
JOURNAL OF SUPERCOMPUTING
(2021)
Review
Engineering, Electrical & Electronic
Hossam H. H. Mousa et al.
Summary: This article provides an overview of wind energy conversion system configurations and various maximum power point tracking algorithms, comparing their advantages and disadvantages, focusing on the perturb and observe algorithm, and proposing future directions for development.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Modeste Kameni Nematchoua
Summary: The study aims to modernize existing residential districts towards zero energy and low carbon emissions by 2030, achieving up to 91% reduction in energy consumption in temperate zones through heavy renovation of buildings, renewable energy, and green mobility.
Article
Energy & Fuels
Verena Heinisch et al.
Article
Energy & Fuels
Li-Na Guo et al.
Summary: This study aims to manage the gap between energy demand and supply by predicting hydropower production, energy demand, and greenhouse gas emissions. The results show a decrease in hydroelectric generation and an increase in energy demand in the future, leading to an increased gap between demand and supply.
Article
Construction & Building Technology
Mohammad Sadegh Javadi et al.
Summary: This paper introduces a novel self-scheduling model for home energy management systems, which significantly reduces electricity bills by taking into account different price-based demand response programs and electrical energy storage.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Energy & Fuels
Shuang Xu et al.
Summary: This study proposes a novel iterative uniform-price auction (IUPA) mechanism for peer-to-peer energy trading in a community microgrid, which divides the market into seller's and buyer's markets to determine a uniform trading price and efficient energy allocation. Competitive prosumers adjust their bids iteratively based on private information and market conditions to reach a Nash equilibrium, differentiating from continuous double auction (CDA) in terms of bidding formats and strategies. The auction market self-adaption algorithm (AMSA) efficiently finds equilibrium in the IUPA, demonstrating effectiveness in fairer trading prices, cost savings, and promotion of local transactions of excess PV energy.
Article
Computer Science, Information Systems
Xiu Kan et al.
Summary: In this paper, a novel IoT network intrusion detection approach based on APSO-CNN is proposed, which optimizes CNN structure parameters using PSO algorithm and introduces a new evaluation method to compare with other algorithms. Experimental results validate the effectiveness and reliability of the proposed method.
INFORMATION SCIENCES
(2021)
Review
Energy & Fuels
Njabulo Mlilo et al.
Summary: The entrance of intermittent renewable energy sources has brought benefits for emission reduction, but has also introduced challenges for power grid reliability and stability. Further research opportunities are outlined in various technical aspects to support the operation of power grids dominated by inverter-based generation.
TECHNOLOGY AND ECONOMICS OF SMART GRIDS AND SUSTAINABLE ENERGY
(2021)
Review
Energy & Fuels
Erdiwansyah et al.
Summary: The study highlights the potential of renewable energy technologies in achieving decarbonization goals in the energy sector, but also acknowledges the challenges they face compared to conventional power plants. Developing a matrix with various renewable technology solutions can help overcome these challenges and improve transparency in the integration process.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS
(2021)
Article
Thermodynamics
Hamid Karimi et al.
Article
Construction & Building Technology
Hamid Reza Gholinejad et al.
JOURNAL OF BUILDING ENGINEERING
(2020)
Article
Energy & Fuels
Md Alamgir Hossain et al.
Article
Thermodynamics
Ahmad Rezaee Jordehi
ENERGY CONVERSION AND MANAGEMENT
(2016)
