International Journal of Electrical Power and Energy Systems

Abstract: This paper focuses on the application of the electronic and electrical industry in the field of new energy, and comprehensively analyzes its key role in the development of the new energy industry. By describing the current development status of the new energy industry, this paper introduces in detail the application of the electronic and electrical industry in new energy power generation systems such as solar energy, wind energy, and hydropower, as well as battery energy storage, power transmission and distribution. This paper analyzes the technological innovation and efficiency improvement brought by electronic and electrical technology to the field of new energy. It aims to reveal the important significance of the deep integration of the electronic and electrical industry with the field of new energy, provide theoretical reference and practical guidance for the development of related industries, and promote the development of the new energy industry in an efficient and sustainable direction. Read More

Abstract: The precise determination of the State of Charge is crucial for Lithium Iron Phosphate batteries, yet it continues to present significant challenges. These difficulties primarily stem from the batteries' notably flat voltage profile, considerable hysteresis effects, and their high sensitivity to thermal fluctuations and aging processes. This review systematically analyzes two dominant SOC estimation methodologies: purely data-driven models and physical-data-driven hybrid models. Data-driven approaches (e.g., DNN, LSTM) excel at capturing complex nonlinearities but lack interpretability and require substantial data. Hybrid models, combining equivalent circuit models with state estimators like Kalman filters, offer a balance of physical insight and computational efficiency, yet their accuracy often depends on offline calibration. The analysis concludes that future advancements hinge on developing online adaptive algorithms and deeply integrated hybrid strategies to enhance robustness and generalization across diverse real-world operating conditions. Read More

Abstract: To address the industry challenges of mismatched power output from gas generators and dynamic downhole load demand in drilling operations, along with the lack of scientific configuration basis for the coordinated operation of energy storage systems and traditional power generation equipment, this study conducts an in-depth optimization study on a hybrid gas-energy storage power supply system using a 50DB drilling rig as the specific research object. Historical load power data of the rig during typical operating cycles were systematically collected and analyzed. Based on this, a cost optimization model for the coordinated gas-energy storage power supply was developed, aiming to minimize the total life-cycle cost. This model innovatively integrates key economic factors, including the initial investment and long-term operation and maintenance costs of the battery energy storage system, as well as the fuel consumption and maintenance costs of the gas generator sets. The optimization objectives are the lowest overall system cost and the optimal energy storage capacity configuration. The results indicate that: ① While meeting the actual power demand, the optimal capacity of the energy storage battery is 1870 kWh, and the optimal charging/discharging power is 992 kW; ② The number of gas generator sets on site can be optimized from the original 8 to 4. This allows the units to operate stably within their high-efficiency range, increasing the average operating efficiency significantly from a maximum of 22.7% before optimization to 42.6%; ③ Under extreme working conditions with the maximum load during drilling operations, the optimally configured energy storage system can independently support the full site load for 4 hours, greatly enhancing the reliability and resilience of the power supply system. Read More

Abstract: With a growing share of renewable sources providing most of our electricity generation, they will introduce many unique challenges for tomorrow's power systems,including important problems of peak load management and scheduling difficulties. Energy storage provides a flexible means to provide energy,plays a key role to solve those problems. Energy blockchain has the characteristics of decentralization, transparency and immutability,provides a new idea for the management of information in energy system, As far as the key problem of how energy storage and energy blockchain could promote the construction of intelligent grid,this work suggests the endogenous relation between energy storage and energy blockchain technology which could be supportive to the evolution of smart grid,and analyses according to its operating mechanism, transaction mode, incentive mechanism and credit mechanism. Soenergy storage and energy block chain can build a grid optimization model combining IoT and data to enhance the flexibility of systems,unleashes the vitality of the distributed power market , fully reflects multi-dimensional values and reduces operation management cost ,and provides novel ideas on how to safely and stably operate smart grids. Read More

Abstract: With the growing integration of charging piles into the smart grid, efficiently aggregating privacy-containing charging data, dynamically optimizing charging strategies, and enhancing charging efficiency have become key future development directions. Current data aggregation schemes, mostly based on homomorphic encryption, place high computational demands on charging piles and may lead to centralized data management issues. To address these challenges, a lightweight data aggregation scheme based on consortium blockchain is proposed. Firstly, non-interactive symmetric encryption and aggregate signatures are used to reduce computational and communication overhead. Symmetric encryption ensures efficient encryption and decryption processes, while aggregate signatures compress multiple signatures into one, reducing storage and verification costs. Secondly, a hierarchical distributed data aggregation model is designed to achieve decentralization, distributing aggregation tasks across multiple layers to enhance system scalability and robustness. Thirdly, a dual-layer consensus algorithm is proposed based on the architecture of charging piles and edge cloud servers. This algorithm ensures low latency and system robustness at the charging pile layer, while the edge cloud server layer can resist Byzantine attacks. By balancing efficiency and security, this approach optimizes resource utilization and enhances privacy protection. Finally, experiments demonstrate that the proposed scheme significantly reduces computational and communication overhead and improves efficiency. Read More

Abstract: As the global food system is under multiple pressures from climate change, resource scarcity and population growth, countries are seeking new solutions. Plant factories, as an important form of controlled environment agriculture, are seen as a key technology to alleviate food supply problems. This article begins by introducing the basic concept of a plant factory. The content includes the definition, classification and core modules of plant factories, while emphasizing the importance of environmental control. Next, the article analyzes how environmental factors such as temperature, relative humidity, and carbon dioxide concentration affect plant growth. This paper further explores the methods of regulating these factors and systematically reviews the key technologies for energy conservation and consumption reduction in plant factories, covering lighting technology, HVAC systems, photovoltaic technology and intelligent control technology. The study shows that by optimizing the spectrum and light intensity, improving the energy form and envelope of the HVAC system, and integrating photovoltaic technology with intelligent control strategies, the energy consumption of plant factories can be significantly reduced and energy utilization efficiency can be improved. Overall, this paper provides a theoretical basis and technical reference for improving the energy efficiency of plant factories and for future related research. Read More

Abstract: Against the backdrop of the global energy revolution and China’s “dual carbon” goals, integrated energy service stations-new infrastructure combining multi-energy supply (oil, gas, electricity, hydrogen, storage) and smart services-have become key enablers of clean transportation energy transition and the new energy system. This paper systematically reviews the development landscape of China’s integrated energy service stations. It finds that, driven by top-level policies and market exploration, the sector has entered a fast lane of large-scale and diversified growth, with co-located stations as the mainstream model and growing trends toward smart and eco-friendly operations. However, development is still constrained by weak planning and approval coordination, lagging technical integration and standards, severe early-stage economic challenges, and complex cross-energy safety management. Drawing on domestic and international best practices, this paper proposes systematic countermeasures: strengthening top-level design and “multi-plan integration,” building an innovation system that pairs technology breakthroughs with standard leadership, creating “energy-plus” value-ecosystem business models, and erecting a full-chain smart safety defense, aiming to provide decision-making references for high-quality and sustainable development of China’s integrated energy service stations. Read More

Abstract: Community energy systems are considered a key means of achieving carbon neutrality at the local level. This paper evaluates the current and future energy systems of the Nottingham Trent Basin community, as a case study, and proposes strategies to reduce carbon emissions and enhance energy efficiency. Analyses of building energy demand, carbon emissions, and model accuracy were conducted based on simulation data from the IES model and measured electricity data from selected households. Results indicate that the community's average domestic electricity consumption exceeds the UK national average, while natural gas consumption is significantly lower, suggesting progress in heating decarbonization. Further simulations demonstrate that a 200 kWp photovoltaic system could cover approximately 82% of annual electricity demand. Integrating this with a 2 MWh energy storage system could reduce annual carbon emissions by nearly 80%. Future analysis indicates that introducing air-source heat pumps could reduce heating- related emissions by approximately 71%, while expanding PV and storage capacity would further decrease grid dependency. Concurrently, the research evaluated electric vehicle integration and load management strategies, exploring time- series based electricity demand forecasting models. Findings indicate that smart community energy systems, by integrating renewable energy, electrified heating, and electric vehicle management, can significantly advance carbon reduction at the community level. This paper highlights the importance of combining technical measures with demand side management in achieving carbon neutrality. Read More

Abstract: This comprehensive report systematically addresses the fundamental building service design requirements for the E. ON House, a flagship sustainable architecture project at the University of Nottingham's Department of Architecture and Built Environment. Through quantitative analysis of winter design heat losses (both fabric and ventilation) across all thermal zones, we establish the baseline parameters for developing a gas-fired low-temperature hot water (LTHW) central heating system incorporating condensing boiler technology with integrated thermal storage capacity. The design methodology extends to indirect domestic water supply systems with hydraulic decoupling, dual drainage networks compliant with BS EN 12056 standards, and illuminance-optimized LED lighting schemes achieving CIBSE LG7 compliance. A centralized building management system with zoned climate control completes the integrated solution. This multidisciplinary approach demonstrates 23-28% energy efficiency improvements over conventional systems through heat recovery mechanisms, adaptive lighting controls, and optimized hydraulic balancing, positioning the project as a replicable model for low-carbon institutional buildings. Read More

Abstract: Electric vehicles are a key technology in the shift towards sustainable transportation. However, significant improvements can be made in terms of their energy efficiency, and driving style plays a major role. Speed trajectories can be more easily implemented with city buses; therefore, this investigation aims to find energy-optimal speed trajectories between bus stops of a given distance. While many studies have been conducted on small passenger vehicles, research on the trip characteristics of buses is more lacking. Three-segment speed trajectories were evaluated in this investigation, using closed-form equations derived from integrating battery power. Results show that higher average velocities correlate with higher energy consumption, and speed trajectories with larger values of acceleration and deceleration have lower energy consumption and are more energy efficient. Read More