Xue Zhang¹, Jie Chen^2,*, Zhihui Zhang³, Dewei Zhang³, Yuejiao Ming³, Xinde Zhang³

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.069487 - 27 December 2025

Abstract The integration of wind power and natural gas for hydrogen production forms a Green and Blue Hydrogen Integrated Energy System (GBH-IES), which is a promising cogeneration approach characterized by multi-energy complementarity, flexible dispatch, and efficient utilization. This system can meet the demands for electricity, heat, and hydrogen while demonstrating significant performance in energy supply, energy conversion, economy, and environment (4E). To evaluate the GBH-IES system effectively, a comprehensive performance evaluation index system was constructed from the 4E dimensions. The fuzzy DEMATEL method was used to quantify the causal relationships between indicators, establishing a scientific input-output… More > Graphic Abstract

Baiyue Song¹, Chenxi Zhang², Wei Zhang^2,*, Leiyu Wan²

Energy Engineering, Vol.122, No.12, pp. 4919-4945, 2025, DOI:10.32604/ee.2025.068971 - 27 November 2025

Abstract Hydrogen energy is a crucial support for China’s low-carbon energy transition. With the large-scale integration of renewable energy, the combination of hydrogen and integrated energy systems has become one of the most promising directions of development. This paper proposes an optimized scheduling model for a hydrogen-coupled electro-heat-gas integrated energy system (HCEHG-IES) using generative adversarial imitation learning (GAIL). The model aims to enhance renewable-energy absorption, reduce carbon emissions, and improve grid-regulation flexibility. First, the optimal scheduling problem of HCEHG-IES under uncertainty is modeled as a Markov decision process (MDP). To overcome the limitations of conventional deep… More >

Mir Majid Etghani¹, Homayoun Boodaghi^2,*

Energy Engineering, Vol.122, No.11, pp. 4385-4474, 2025, DOI:10.32604/ee.2025.070668 - 27 October 2025

Abstract Energy system optimization has become crucial for enhancing efficiency and environmental sustainability. This comprehensive review examines the synergistic application of Artificial Neural Networks (ANN) and Taguchi methods in optimizing diverse energy systems. While previous reviews have focused on these methods separately, this paper presents the first integrated analysis of both approaches across multiple energy applications. We systematically analyze their implementation in: Internal combustion engines, Thermal energy storage systems, Solar energy systems, Wind and tidal turbines, Heat exchangers, and hybrid energy systems. Our findings reveal that ANN models consistently achieve prediction accuracies exceeding 90% when compared More > Graphic Abstract

Yukun Yang^*, Jun He, Wenfeng Chen, Zhi Li, Kun Chen

Energy Engineering, Vol.122, No.11, pp. 4653-4678, 2025, DOI:10.32604/ee.2025.068199 - 27 October 2025

Abstract To address the issues of unclear carbon responsibility attribution, insufficient renewable energy absorption, and simplistic carbon trading mechanisms in integrated energy systems, this paper proposes an electric-heat-hydrogen integrated energy system (EHH-IES) optimal scheduling model considering carbon emission stream (CES) and wind-solar accommodation. First, the CES theory is introduced to quantify the carbon emission intensity of each energy conversion device and transmission branch by defining carbon emission rate, branch carbon intensity, and node carbon potential, realizing accurate tracking of carbon flow in the process of multi-energy coupling. Second, a stepped carbon pricing mechanism is established to… More >

Cheng Peng^1,*, Hao Qi²

Energy Engineering, Vol.122, No.11, pp. 4579-4602, 2025, DOI:10.32604/ee.2025.067704 - 27 October 2025

Abstract Integrated energy systems (IES) are widely regarded as a key enabler of carbon neutrality, enabling the coordinated use of electricity, heat, and gas to support large-scale renewable integration. Yet their practical deployment still faces major challenges, including rigid thermoelectric coupling, insufficient operational flexibility, and fragmented carbon and certificate market mechanisms. To address these issues, this study proposes a low-carbon economic dispatch model for integrated energy systems (IES) that reduces emissions and costs while improving renewable energy utilization. A coordinated framework integrating carbon capture, utilization, and storage, two-stage power-to-gas, combined heat and power, and ground-source heat… More > Graphic Abstract

Reza Nadimi^1,*, Maryam Hashemi², Koji Tokimatsu³

Journal on Internet of Things, Vol.7, pp. 49-69, 2025, DOI:10.32604/jiot.2025.070822 - 30 September 2025

Abstract Existing Internet of Things (IoT) systems that rely on Amazon Web Services (AWS) often encounter inefficiencies in data retrieval and high operational costs, especially when using DynamoDB for large-scale sensor data. These limitations hinder the scalability and responsiveness of applications such as remote energy monitoring systems. This research focuses on designing and developing an Arduino-based IoT system aimed at optimizing data transmission costs by concentrating on these services. The proposed method employs AWS Lambda functions with Amazon Relational Database Service (RDS) to facilitate the transmission of data collected from temperature and humidity sensors to the… More >

Aidong Zeng^1,2,*, Zirui Wang¹, Jiawei Wang ³, Sipeng Hao^1,2, Mingshen Wang⁴

Energy Engineering, Vol.122, No.9, pp. 3793-3816, 2025, DOI:10.32604/ee.2025.069410 - 26 August 2025

Abstract With the intensification of the energy crisis and the worsening greenhouse effect, the development of sustainable integrated energy systems (IES) has become a crucial direction for energy transition. In this context, this paper proposes a low-carbon economic dispatch strategy under the green hydrogen certificate trading (GHCT) and the ladder-type carbon emission trading (CET) mechanism, enabling the coordinated utilization of green and blue hydrogen. Specifically, a proton exchange membrane electrolyzer (PEME) model that accounts for dynamic efficiency characteristics, and a steam methane reforming (SMR) model incorporating waste heat recovery, are developed. Based on these models, a… More > Graphic Abstract

Xin Zhang^1,*, Shixing Zhang¹, Lina Chen², Jihong Zhang¹, Peihong Yang¹, Zilei Zhang¹, Xiaoming Zhang¹

Energy Engineering, Vol.122, No.9, pp. 3647-3679, 2025, DOI:10.32604/ee.2025.067035 - 26 August 2025

Abstract A park hydrogen-doped integrated energy system (PHIES) can maximize energy utilization as a system with multiple supplies. To realize win-win cooperation between the PHIES and active distribution network (ADN), the cooperative operation problem of multi-PHIES connected to the same ADN is studied. A low-carbon hybrid game coordination strategy for multi-PHIES accessing ADN based on dynamic carbon base price is proposed in the paper. Firstly, multi-PHIES are constructed to form a PHIES alliance, including a hydrogen-doped gas turbine (HGT), hydrogen-doped gas boiler (HGB), power to gas and carbon capture system (P2G-CCS), and other equipment. Secondly, a… More > Graphic Abstract

Linwei Yao^1,*, Xiangning Lin^1,2, Huashen He¹, Jiahui Yang¹

Energy Engineering, Vol.122, No.8, pp. 3285-3308, 2025, DOI:10.32604/ee.2025.066628 - 24 July 2025

Abstract In order to address the synergistic optimization of energy efficiency improvement in the waste incineration power plant (WIPP) and renewable energy accommodation, an electricity-hydrogen-waste multi-energy system integrated with phase change material (PCM) thermal storage is proposed. First, a thermal energy management framework is constructed, combining PCM thermal storage with the alkaline electrolyzer (AE) waste heat recovery and the heat pump (HP), while establishing a PCM-driven waste drying system to enhance the efficiency of waste incineration power generation. Next, a flue gas treatment method based on purification-separation-storage coordination is adopted, achieving spatiotemporal decoupling between waste incineration… More >

Yanjie Liu, Ximin Cao^*, Yanchi Zhang

Energy Engineering, Vol.122, No.8, pp. 3377-3398, 2025, DOI:10.32604/ee.2025.066577 - 24 July 2025

Abstract Under the “dual carbon” goals, this paper constructs an optimization model of the comprehensive energy system in the park. A stepwise carbon excess rate mechanism and an electric vehicle coupling strategy are proposed: A carbon quota trading system is established based on the baseline method, and the stepwise function is adopted to quantify the cost of excess carbon emissions; Introduce the price demand response and the two-way interaction mechanism of electric Vehicle vehicle-to-grid (V2G) to enhance the flexible regulation ability. Aiming at the uncertainty of wind and solar output, a typical scene set is generated… More >