Article
Energy & Fuels
Zhihao Zhang, Ji Zhang, Ning Mei, Xu Zheng, Weiran Xiang, Pu Meng, Jian Zhao
Summary: This paper presents a method of active thermal insulation in the thermal energy storage system to reduce heat consumption and improve energy efficiency. By setting up a heat source area and a heat sink area, this system achieves reasonable heat distribution and thermal insulation. The effectiveness of the theoretical method is verified by designing an active insulation device in a water heater.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Construction & Building Technology
Xinyi Lin, Zhe Tian, Yakai Lu, Jide Niu, Yaqi Cao
Summary: This paper presents an energy performance assessment method for district heating substations, using energy disaggregation to identify different energy consumption components and comprehensively evaluate energy performance and energy-saving potential. The case study demonstrates that the proposed method can effectively identify the contributions of different factors to energy consumption and provide guidance for operational optimization of existing district heating systems.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Tao Hai, Nejla Mahjoub Said, Jasni Mohamad Zain, S. Mohammad Sajadi, Mustafa Z. Mahmoud, Hikmet S. Aybar
Summary: This study discusses the reinforcement of building walls against heat transfer using PCM and finds that installing PCM at the best location can achieve energy savings. The effectiveness of artificial neural networks in PCM applications is also demonstrated.
JOURNAL OF BUILDING ENGINEERING
(2022)
Review
Construction & Building Technology
Mohammad Fawaier, Balazs Bokor
Summary: Dynamic insulation is a method that allows the heat transmission rate through building envelopes to vary over time. This paper collects and assesses literature on different dynamic insulation structures and compares mathematical models, experimental studies, and numerical simulations. The results show that dynamic insulation can achieve low heat loss and significant energy savings.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Xuchao Wang, Ling Zhang, Xiaosong Su, Huixian Yang
Summary: The study evaluates the daylighting and energy performance of a window with transparent insulation slats (WTIS) compared with other commonly used windows. The results show that WTIS has better daylighting performance than other windows when the window-to-wall ratio is larger than 40% in the south orientation. The study provides valuable information for architects and engineers in designing energy-efficient buildings.
ENERGY AND BUILDINGS
(2023)
Review
Chemistry, Physical
Jihong Pu, Chao Shen, Julian Wang, Yingbo Zhang, Chunxiao Zhang, Soteris A. Kalogirou
Summary: In the past decades, spectrally selective windows have been widely studied and developed for building energy-saving purposes. This review focuses on ion-based and nanoparticle-based NIR absorbing glazings, discussing their spectral selectivity mechanisms, application status, and comparative evaluation of their performance. The challenges and future directions for bridging the gap between lab research and large-scale practical applications are also discussed.
Article
Green & Sustainable Science & Technology
Shu Zhang, Yuxin Ma, Dong Li, Changyu Liu, Ruitong Yang
Summary: In this study, an innovative reversible multiple-glazing roof integrated with two phase change materials (PCMs) and low-emissivity (low-e) glass was proposed. The thermal performance of the new roof was examined and compared with a traditional air-filled multiple-glazing roof in a cold climate. The results showed that the new glazed roof exhibited excellent thermal performance in both summer and winter, with significant energy savings and economic feasibility.
Article
Energy & Fuels
Stanislav Chicherin
Summary: The goal of this study was to propose a new method to estimate heat loss rates and investigate how weather conditions and operational data affect each component of the heat loss rate. The proposed model is more accurate than the conventional method and can be adjusted for different European cities. The findings highlight the importance of utilizing measurement data from advanced district heating systems to improve daily operation and maintenance.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Green & Sustainable Science & Technology
Erdem Kucuktopcu, Bilal Cemek, Halis Simsek
Summary: This study aimed to investigate the impact of optimum pipe insulation thickness on energy savings and air pollution in greenhouse conditions. The findings indicate that the highest insulation thickness, energy savings, and shortest payback period were achieved with a 65 mm pipe size when using fuel oil. Overall, insulation reduces heat loss through the heating pipelines, resulting in economic and environmental benefits.
Article
Thermodynamics
Lianying Zhang, Qingzeng Zhang, Xiaohu Yang, Kamel Hooman
Summary: This study analyzes the insulation performance and buried depth of heating pipelines and their impact on energy loss, and calculates and evaluates the optimal insulation thickness, energy-saving effect, and payback period. The sensitivity analysis shows that insulation and fuel have a greater influence on the optimum insulation and payback period than the buried depth.
HEAT TRANSFER ENGINEERING
(2023)
Article
Construction & Building Technology
Ayse Fidan Altun
Summary: The building envelope significantly affects energy consumption. This study found optimal design parameters for the building envelope, such as insulation thickness, orientation, glazing type, and the window-to-wall ratio, to reduce energy consumption.
Article
Thermodynamics
Baodi Zhang, Sheng Guo, Qinyang Lv, Xin Zhang, Minggao Ouyang, Lan Teng
Summary: Hybrid powertrains, as an effective energy-saving technology, are being applied in various vehicle fields. Different application scenarios require separate study and optimization of energy-saving mechanisms. Analysis of energy-saving mechanisms provides insights for optimizing hybrid powertrains.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Chemistry, Multidisciplinary
Feng-Chieh Lin, Chin-Sheng Chen, Chia-Jen Lin
Summary: Due to an aging population and longer life expectancy, traditional high-oil, high-calorie, and high-temperature culinary concepts have been replaced by healthier and low-temperature heating methods. However, the pump speed control is not currently considered in the water heating and circulating system framework. This study develops a model for the system and proposes the LPPT control method, which significantly reduces energy consumption and achieves efficiency optimization control.
APPLIED SCIENCES-BASEL
(2023)
Article
Construction & Building Technology
Ayaz Ahmed, Adnan Qayoum, Fasil Qayoom Mir
Summary: Insulation materials play a crucial role in the efficiency of energy use in buildings, with organic materials like wool offering good thermal properties. Research on sheep wool, goat wool, and horse mane using various techniques indicated the presence of protein in fibers and the potential for high crystallinity in goat wool. High nitrogen content was also observed in goat wool, showing its potential as an effective insulation material.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
Ruihuai Wang, Pengfei Jie, Delai Wang, Fating Li, Chunhua Liu
Summary: An optimization model for determining the optimal insulation thickness of double buried district heating pipes was developed based on the Eco-indicator method, with sensitivity analysis revealing the impact of various factors on the optimal values. Findings suggest that coal-fired combined heat and power plants, constant mass flow rate operating strategies, glass wool insulation material, and increased buried depth are beneficial to the environment. Sensitivity parameters have a significant effect on the optimal insulation thickness, while heat source unit heating energy consumption and heat source environmental impact point have a greater impact on the overall environmental impact.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Thermodynamics
C. Onan, D. B. Ozkan
EXPERIMENTAL HEAT TRANSFER
(2016)
Article
Thermodynamics
Cenk Onan, Derya B. Ozkan
HEAT TRANSFER RESEARCH
(2017)
Article
Thermodynamics
C. Onan, D. B. Ozkan, S. Erdem
Article
Thermodynamics
Cenk Onan
ADVANCES IN MECHANICAL ENGINEERING
(2014)
Article
Thermodynamics
Cenk Onan, Derya Burcu Ozkan, Serkan Erdem
ADVANCES IN MECHANICAL ENGINEERING
(2014)
Proceedings Paper
Engineering, Mechanical
Serkan Erdem, Cenk Onan, Derya B. Ozkan, S. Eray Bedirli
PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION - 2012, VOL 7, PTS A-D
(2013)
Article
Thermodynamics
Cenk Onan, Serkan Erdem, Derya Burcu Ozkan, Cem Baykal
Article
Energy & Fuels
Canberk Yildirim, Derya Burcu Ozkan, Cenk Onan
INTERNATIONAL JOURNAL OF AMBIENT ENERGY
(2018)
Article
Engineering, Multidisciplinary
Derya B. Ozkan, Cenk Onan, Serkan Erdem
SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
(2009)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
