Jiaqing Wang¹, Yuming Shen^2,*, Xuli Wang², Jiayin Xu²

Energy Engineering, Vol.122, No.7, pp. 2751-2766, 2025, DOI:10.32604/ee.2025.064317 - 27 June 2025

Abstract To adapt to the uncertainty of new energy, increase new energy consumption, and reduce carbon emissions, a high-voltage distribution network energy storage planning model based on robustness-oriented planning and distributed new energy consumption is proposed. Firstly, the spatio-temporal correlation of large-scale wind-photovoltaic energy is modeled based on the Vine Copula model, and the spatial correlation of the generated wind-photovoltaic power generation is corrected to get the spatio-temporal correlation of wind-photovoltaic power generation scenarios. Finally, considering the subsequent development of new energy on demand for high-voltage distribution network peaking margin and the economy of the system More >

Alex Ximenes Naves¹, Gladys Maquera², Assed Haddad¹, Dieter Boer^3,*

Energy Engineering, Vol.122, No.7, pp. 2611-2636, 2025, DOI:10.32604/ee.2025.061971 - 27 June 2025

Abstract The growing concern for energy efficiency and the increasing deployment of intermittent renewable energies has led to the development of technologies for capturing, storing, and discharging energy. Supercapacitors can be considered where batteries do not meet the requirements. However, supercapacitors in systems with a slower charge/discharge cycle, such as photovoltaic systems (PVS), present other obstacles that make replacing batteries more challenging. An extensive literature review unveils a knowledge gap regarding a methodological comparison of batteries and supercapacitors. In this study, we address the technological feasibility of intermittent renewable energy generation systems, focusing on storage solutions… More > Graphic Abstract

Ronglei Hu¹, Chuce He^1,2, Sihui Liu¹, Dong Yao¹, Xiuying Li¹, Xiaoyi Duan^1,*

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 937-956, 2025, DOI:10.32604/cmc.2025.062542 - 09 June 2025

Abstract Ciphertext data retrieval in cloud databases suffers from some critical limitations, such as inadequate security measures, disorganized key management practices, and insufficient retrieval access control capabilities. To address these problems, this paper proposes an enhanced Fully Homomorphic Encryption (FHE) algorithm based on an improved DGHV algorithm, coupled with an optimized ciphertext retrieval scheme. Our specific contributions are outlined as follows: First, we employ an authorization code to verify the user’s retrieval authority and perform hierarchical access control on cloud storage data. Second, a triple-key encryption mechanism, which separates the data encryption key, retrieval authorization key, More >

Kenji Sorimachi^1,2,*, Toshinori Tsukada³, Hossam A. Gabbar⁴

Energy Engineering, Vol.122, No.6, pp. 2177-2185, 2025, DOI:10.32604/ee.2025.064975 - 29 May 2025

Abstract Recently, we developed an innovative CO₂ capture and storage method based on simple chemical reactions using NaOH and CaCl₂. In this technology, it was newly found that the addition of CO₂ gas produced CaCO₃ (limestone) in the solution of NaOH and CaCl₂ at less than 0.2 N NaOH, while at more than 0.2 N NaOH, Ca(OH)₂ formation occurred merely without CO₂. The present study has been designed to develop an integrated system in which the electrolysis unit is combined with the CO₂ fixation unit. As the electrolysis of NaCl produces simultaneously not only electricity but also H₂ and Cl₂, the… More > Graphic Abstract

Ricky Alfian Dita¹, Sudirman Palaloi^2,*, Rezi Delfianti¹, Catur Harsito³, Muhammad Nevandra Fithra Pangestu¹, Deo Ferdi Ramadhan¹, Tovva Firdansyah Amijaya¹, Farhan Mudzaffar¹, Dimas Raka Buana Putra¹

Energy Engineering, Vol.122, No.6, pp. 2355-2370, 2025, DOI:10.32604/ee.2025.064134 - 29 May 2025

Abstract Efficient battery charging requires a power conversion system capable of providing precise voltage regulation tailored to the battery’s needs. This study develops a buck converter with a 36 V input for charging a 14 V battery using the Constant Voltage (CV) method. The system is designed to ensure safe and efficient charging while protecting the battery from overcharging and extending its lifespan. In the proposed design, the converter maintains a constant output voltage while the charging current decreases as the battery approaches full capacity. Pulse Width Modulation (PWM) is used as a control strategy to… More >

Ahmad Mola¹, Sahira H. Ibrahim¹, Nagham Q. Shari², Hasanain A. Abdul Wahhab^3,*

Energy Engineering, Vol.122, No.6, pp. 2239-2255, 2025, DOI:10.32604/ee.2025.061590 - 29 May 2025

Abstract High-efficiency solar energy systems are characterized by their designs, which primarily rely on effective concentration and conversion methods of solar radiation. Evaluation of the performance enhancement of flat plate solar collectors by integration with thermal energy storage could be achieved through simulation of proposed designs. The work aims to analyze a new solar collector integrated with a porous medium and shell and coiled tube heat exchanger. The heat transfer enhancement was investigated by varying the geometrical parameters in shell and helically coiled tubes operating with CuFe₂O₄/water with different volume fractions of 0.02%, 0.05%, and 0.1 vol.%.… More >

Yogendra P. S. Maravi^*, Nishchol Mishra

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5517-5537, 2025, DOI:10.32604/cmc.2025.063964 - 19 May 2025

Abstract The growing demand for international travel has highlighted the critical need for reliable tools to verify travelers’ healthcare status and meet entry requirements. Personal health passports, while essential, face significant challenges related to data silos, privacy protection, and forgery risks in global sharing. To address these issues, this study proposes a blockchain-based solution designed for the secure storage, sharing, and verification of personal health passports. This innovative approach combines on-chain and off-chain storage, leveraging searchable encryption to enhance data security and optimize blockchain storage efficiency. By reducing the storage burden on the blockchain, the system… More >

Yuling Luo^1,2, Xiaoguang Lin^1,2, Junxiu Liu^1,2,*, Qiang Fu^1,2, Sheng Qin^1,2, Zhen Min^1,2, Tinghua Hu^1,2

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5323-5343, 2025, DOI:10.32604/cmc.2025.063860 - 19 May 2025

Abstract The majors accredited by the Engineering Education Accreditation (EEA) reflect the accreditation agency’s recognition of the school’s engineering programs. Excellent accreditation management holds significant importance for the advancement of engineering education programs. However, the traditional engineering education system framework suffers from the opacity of raw education data and the difficulty for accreditation bodies to forensically examine the self-assessment reports. To solve these issues, an EEA framework based on Hyperledger Fabric blockchain technology is proposed in this work. Firstly, all relevant stakeholders and information interactions occur within the blockchain network, ensuring the authenticity of educational data More >

Tianyu Li¹, Dezhi Han¹, Jiatao Li¹, Kuan-Ching Li^2,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4117-4140, 2025, DOI:10.32604/cmc.2025.063630 - 19 May 2025

Abstract As is known, centralized federated learning faces risks of a single point of failure and privacy breaches, and blockchain-based federated learning frameworks can address these challenges to a certain extent in recent works. However, malicious clients may still illegally access the blockchain to upload malicious data or steal on-chain data. In addition, blockchain-based federated training suffers from a heavy storage burden and excessive network communication overhead. To address these issues, we propose an asynchronous, tiered federated learning storage scheme based on blockchain and IPFS. It manages the execution of federated learning tasks through smart contracts… More >

Zeyang Zhou^1,*, Zachary James Ryan¹, Utkarsh Sharma², Tran Tien Anh³, Shashi Mehrotra⁴, Angelo Greco⁵, Jason West⁶, Mukesh Prasad^1,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4795-4813, 2025, DOI:10.32604/cmc.2025.060291 - 19 May 2025

Abstract Accurate capacity and State of Charge (SOC) estimation are crucial for ensuring the safety and longevity of lithium-ion batteries in electric vehicles. This study examines ten machine learning architectures, Including Deep Belief Network (DBN), Bidirectional Recurrent Neural Network (BiDirRNN), Gated Recurrent Unit (GRU), and others using the NASA B0005 dataset of 591,458 instances. Results indicate that DBN excels in capacity estimation, achieving orders-of-magnitude lower error values and explaining over 99.97% of the predicted variable’s variance. When computational efficiency is paramount, the Deep Neural Network (DNN) offers a strong alternative, delivering near-competitive accuracy with significantly reduced… More >