Cheng Yang¹, Xiuyu Yang^1,*, Gangui Yan¹, Hongda Dong², Chenggang Li²

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2025.072773 - 27 April 2026

Abstract The integration of renewable energy introduces significant uncertainty into daily power system operation scenarios. Traditional deterministic unit commitment methods struggle to adapt to these conditions, often resulting in poor economic performance and high curtailment rates in planning outcomes. To address these challenges, this paper proposes a coordinated thermal power-energy storage planning methodology for managing renewable energy uncertainty. First, the operational effectiveness of daily unit commitment under uncertain renewable energy scenarios is analyzed, with quantitative assessment of how different commitment strategies impact supply-demand balance and economic performance. Subsequently, by conducting flexibility evaluation under multiple renewable energy… More >

Junwei Zhang¹, Pei Liu¹, Huihang Li¹, Guokang Huang¹, Bozheng Yuan¹, Wenjing Wei¹, Xiaoshun Zhang^2,*

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2025.072462 - 27 April 2026

Abstract Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive framework to assess their carbon reduction potential (CRP) by integrating electricity usage behavior analysis and dynamic carbon emission factor (DCEF) prediction. HECEs are classified into “electricity reduction” and “electricity transfer” categories based on load characteristics, enabling tailored optimization strategies. The framework employs machine learning to predict DCEFs, capturing real time variations in grid carbon intensity. A low carbon optimization model is then formulated to minimize emissions while adhering to production requirements and grid constraints, solved… More > Graphic Abstract

Lanyue Liu¹, Chunzhi Zhang^1,*, Zhongyi Yu²

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2025.071463 - 27 April 2026

Abstract This study develops an optimized integrated system for full-capacity hot water supply in hotels by combining solar thermal energy and air-source heat pumps. Using a hotel in Wuhan as a case study, a four-season × four-occupancy multidimensional working-condition matrix was established. Dynamic simulation and multi-objective optimization were performed on TRNSYS-TRNOPT, with the cost-benefit ratio (CBR) as the core evaluation metric. Key parameters—including collector area, tilt and azimuth angles, heat pump capacity, and storage tank volume—were jointly optimized. Model calibration against measured data yielded a deviation of less than 8%. The results demonstrate that the optimized More >

Thatsamaphon Boonchuntuk¹, Thanyapisit Buaprakhong¹, Varintorn Sithisint¹, Awirut Phusaensaart¹, Sinthon Wilke¹, Thittaporn Ganokratanaa^1,*, Mahasak Ketcham²

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.069005 - 27 April 2026

Abstract Urban traffic congestion directly contributes to excessive energy consumption and urban air pollution, requiring adaptive traffic signal control strategies that incorporate sustainability objectives alongside mobility performance. This study proposes a Large Language Model (LLM) driven traffic signal optimization framework that transforms detailed intersection-level traffic states into structured natural-language prompts, enabling the LLM to reason over congestion patterns, queue asymmetry, phase history, and estimated energy emission impacts. Unlike reinforcement learning (RL) based controllers, the LLM requires no task-specific training and operates in a zero-shot manner through carefully designed structured prompts that encode traffic states, phase history,… More >

Yang Liu¹, Yinguo Yang¹, Pingping Xie¹, Qiuyu Lu¹, Yue Chen¹, Zhanpeng Xu^2,*, Zejie Huang²

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2025.068436 - 27 April 2026

Abstract With the large-scale integration of wind and solar energy into the power grid, the power system is facing uncertainty challenges in multiple links, such as source, grid, and load. How to efficiently dispatch flexible resources, such as energy storage, has become an urgent problem to be solved. To this end, this paper considers the correlation between new energy stations due to natural conditions, uses Vine-Copula theory to describe the correlation characteristics of the output of multiple new energy stations, and proposes a wind solar new energy output scenario generation method based on Vine-Copula theory; Then,… More >

Rui Lou^*, Chendan Xie, Haiyuan Yang, Yunyun Liu, Bin Zhang, Long He, Wei Chen

Journal of Renewable Materials, Vol.14, No.4, 2026, DOI:10.32604/jrm.2026.02025-0193 - 24 April 2026

Abstract Amidst escalating global energy demands and the depletion of fossil fuel reserves, there is an urgent need to develop energy storage materials derived from low-cost and sustainable biomass. Lignin, an abundant aromatic polymer, has gained increasing recognition as a highly promising precursor for electrode materials due to its low cost, high carbon content, and rich functional groups. For electrochemical energy storage applications, lignin-derived carbon materials, including porous carbon, carbon fibers, and carbon aerogels, demonstrate considerable potential as effective electrodes. This review provides a comprehensive summary and analysis of recent advances in the field. It systematically… More > Graphic Abstract

Yiwei Hao^1,#, Yaodong Ping^2,#, Yan Yang³, Cheng Qu³, Yuan Chen¹, Xueyan Jiang¹, Rong Fu¹, Hailong Zhao^4,*, Lei Yu^4,*

BIOCELL, Vol.50, No.4, 2026, DOI:10.32604/biocell.2025.074863 - 21 April 2026

Abstract Myocardial ischemia, a core pathological process underlying diverse cardiovascular diseases such as coronary artery disease, poses a severe threat to global human health by frequently leading to acute myocardial infarction, heart failure, and even sudden cardiac death. A comprehensive understanding of its intricate underlying pathogenic mechanisms is not only crucial for developing effective therapeutic strategies but also essential for accelerating the translation of basic research findings into clinical practice. However, the complex regulatory networks that drive myocardial ischemia remain to be systematically clarified. These networks encompass the intricate interactions among multiple pathological processes, including energy… More >

Benedict Djouboussi^1,*, Elie Fute Tagne^1,2

Journal of Cyber Security, Vol.8, pp. 171-187, 2026, DOI:10.32604/jcs.2026.079617 - 15 April 2026

Abstract The Distributed Network Protocol 3 (DNP3) is widely deployed in SCADA-based microgrids; however, it was not originally designed to meet the cybersecurity requirements of modern decentralized energy infrastructures. Although DNP3 Secure Authentication (DNP3-SA) introduces HMAC-based session-level protection, it does not ensure fragment-level integrity, leaving the protocol vulnerable to fragmentation disruption, replay attacks, and sequence manipulation. Such vulnerabilities can cause desynchronization between master and outstation devices, compromising the operational reliability of distributed energy resources. This paper proposes DNP3Chain, a blockchain-enabled framework that provides real-time fragment-level validation and enforces end-to-end message integrity in DNP3 communications. An OpenDNP3-based… More >

Mahmoud M. A. Kamel^1,2, Yu Fu³, S. Z. Abeer⁴, Zaman Mohamed Al-Delfi⁴, Yijiang Peng^1,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.078775 - 09 April 2026

Abstract Crumb rubber concrete (CRC) has emerged as a sustainable solution to the environmental challenges posed by rubber waste. This study introduces an advanced mixed-random-aggregate mesoscale model for CRC based on the Base Force Element Method (BFEM) and the complementary energy principle. The model incorporates different rubber substitution ratios (0%–30%), rubber particle sizes (2 mm and 4 mm), and specimen dimensions (edge lengths of 100, 150, and 300 mm). These parameters are considered to investigate their effects on the mechanical properties and failure mechanisms of CRC. Accordingly, the numerical results include stress–strain responses, elastic modulus, and… More >

Ali Hamidoğlu^1,2, Ali Elghirani^3,4, Ömer Melih Gül^5,6,7, Seifedine Kadry^8,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077060 - 09 April 2026

Abstract Multi-Robot Task Allocation (MRTA) has proven its importance in the current and near-future era, wherein in every aspect of life, there will be robots to handle tasks effectively and efficiently. While there has been a growing interest in MRTA problems in the robotics industry, the question arises of how to make robots more decentralized and intelligent through rational decision-makers rather than ones that are centralized and filled with black boxes. This survey aims to address that question by examining recent MRTA literature and exploring topics including MRTA taxonomy, centralized and decentralized controls, static and dynamic… More >