Article
Energy & Fuels
Xufei Yang, Dongliang Sun, Jingfa Li, Changyong Yu, Yajun Deng, Bo Yu
Summary: This study presents a demonstration project of a ground source heat pump heating system with seasonal and diurnal solar thermal energy storage for greenhouse heating. Experimental results show that this heating system has advantages for greenhouses in cold regions and improves system performance.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Tianrun Yang, Wen Liu, Qie Sun, Weihao Hu, Gert Jan Kramer
Summary: This study proposes an integrated optimization criterion to examine the influence of local context on the optimal configuration planning, techno-economic-environmental performance, and feasibility of STES application. It identifies the position of STES in comparison to other sustainable heating options considering the local context, highlighting the importance of the local context in determining the feasibility of STES in the clean heating transition.
Article
Construction & Building Technology
Tao Yu, Dongju Wang, Xintian Zhao, Jiying Liu, Moon Keun Kim
Summary: This study built a solar greenhouse with an active solar heating system and evaluated its applicability in cold areas. The results showed that the system effectively maintained suitable ground temperatures and improved plant growth in winter.
Article
Thermodynamics
Bo Xu, Tiantian Zhang, Siming Wang, Zhenqian Chen
Summary: This paper proposes a solar seasonal thermal energy storage system for a single-family dwelling, which uses assisted water source heat pump to improve system stability. A dynamic simulation model is established to analyze the energy transfer and conversion laws and dynamic operation characteristics of the system. The results show that the composite system improves energy efficiency, achieves cost savings, and reduces carbon dioxide emissions.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
I. Ihoume, R. Tadili, N. Arbaoui, A. Bazgaou, A. Idrissi, M. Benchrifa, H. Fatnassi
Summary: Solar energy plays an important role in reducing greenhouse gas emissions in the agricultural sector. This study examines the performance of a solar copper coil heating system in a south-oriented greenhouse. The results show that the system effectively increases the nighttime temperature and reduces relative humidity in the greenhouse, highlighting its sustainability and low environmental impact.
Article
Thermodynamics
Min-Hwi Kim, Deuk-Won Kim, Dong-Won Lee, Jaehyeok Heo
Summary: This study investigated a solar thermal and seasonal thermal-based renewable energy convergence system for greenhouse, which has high efficiency in utilizing renewable energy and saving energy.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Michele Salvestroni, Giacomo Pierucci, Atabak Pourreza, Federico Fagioli, Francesco Taddei, Matteo Messeri, Maurizio De Lucia
Summary: The study introduces a new numerical tool for enhancing the efficiency of solar district heating, especially where the technology has not been implemented in Italy. The tool, based on a dynamic model coupled with the finite element method, aims to reduce prediction inaccuracies that have characterized past projects.
APPLIED THERMAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Rosa Gemma Raluy, Silvia Guillen-Lambea, Luis M. Serra, Mateo Guadalfajara, Miguel A. Lozano
Summary: The study demonstrates that Central Solar Heating Plants with Seasonal Storage (CSHPSS) have high renewable energy utilization in providing space heating and hot water, showing advantages in reducing environmental burdens and improving efficiency compared to traditional systems. Through the Life Cycle Assessment method, the environmental impact of CSHPSS can be quantitatively evaluated, promoting the development of green technologies and providing insights for decision-making in relevant aspects.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Zhanchao Li, Min Xu, Xiulan Huai, Caifeng Huang, Kejian Wang
Summary: Thermochemical energy storage, particularly the use of MgO/Mg(OH)(2) system, shows great potential for seasonal solar thermal energy storage in China. By reducing the required solar collector areas compared to traditional water storage tank systems, the efficiency of seasonal thermochemical energy storage is significantly improved, especially in regions with abundant solar energy supply.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Ankit Mukherjee, Ankush Shankar Pujari, Shraddha Nitin Shinde, Uddip Kashyap, Lalit Kumar, Chandramouli Subramaniam, Sandip K. Saha
Summary: This study investigates the dehydration and hydration process of strontium bromide salt in open TCES system under high humidity conditions through experiments and numerical simulations. The results show that the salt can agglomerate or deliquesce in high humidity environment, which affects the system performance.
Article
Energy & Fuels
Etienne Saloux, Jose A. Candanedo
Summary: This paper investigates a model-based predictive control strategy for the district heating system at the Drake Landing Solar Community in Alberta, Canada. The strategy aims to minimize primary energy consumption while maintaining a high solar fraction. Simulation results show that the proposed strategy could save about 47% of total pump electricity use annually, leading to cost and greenhouse gas emissions savings.
Article
Thermodynamics
A. Tafuni, A. Giannotta, M. Mersch, A. M. Pantaleo, R. Amirante, C. N. Markides, P. De Palma
Summary: This paper presents a numerical study of a thermal solar plant using a seasonal dual-media sensible heat thermal energy storage system to supply the energy demand of a greenhouse in Italy. A low-cost pit storage system made of gravel and water was evaluated for its technical and economic performance. The study analyzed the charging and discharging phases based on real heating demand and weather data, and conducted a sensitivity analysis of the cost of heat with respect to collector area and storage volume. The results demonstrate the feasibility of dual-media thermal energy storage systems with solar collectors in reducing greenhouse emissions.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Energy & Fuels
Tianyang Xia, Yiming Li, Zhouping Sun, Xiuchao Wan, Dapeng Sun, Lu Wang, Xingan Liu, Tianlai Li
Summary: The traditional design of the Chinese solar greenhouse (CSG) north wall cannot fully achieve thermal preservation and heat storage performance. Researchers have divided the greenhouse into independent solar heating system and independent north wall heat preservation system to improve thermal efficiency and solar energy utilization. A wall-mounted solar heating system using water as a medium for heat transport and storage has been developed. An active solar water curtain heating system with a non-woven fabric liner and black water-based paint coated polyethylene film was proposed to create a better suitable greenhouse thermal environment.
Article
Thermodynamics
Shaoliang Zhang, Shuli Liu, Jihong Wang, Yongliang Li, Zhibin Yu
Summary: Insufficient heating capacity and low coefficient of performance have hindered the application of air source heat pump systems in cold regions. This study proposes an indirect expansion solar-assisted air source heat pump system to improve the heating performance. An optimized control method is proposed to tackle the refrigerant redistribution problem. The experimental results show that the solar heat pump mode has a higher coefficient of performance compared to the air source heat pump mode.
APPLIED THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Zhihang Zheng, Jin Zhou, Ying Yang, Feng Xu, Hongcheng Liu, Yili Yan
Summary: The solar assisted ground source heat pump system (SAGSHP) is an efficient and clean renewable energy technology for hot water supply. However, the conventional SAGSHP system has poor solar energy utilization efficiency and suffers from decreased soil temperature, resulting in decreased system efficiency. To solve these problems, a SAGSHP system with graded thermal energy storage (SAGSHP-GTES) was proposed, which showed improved efficiency and eliminated the issue of soil temperature drop. The SAGSHP-GTES system demonstrated excellent performance in all climatic zones of China and is a feasible and efficient technology for hot water supply.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Construction & Building Technology
Liang Zhang, Mahmoud Alahmad, Jin Wen
Summary: This study compares thirteen DWT/EMD techniques with various parameters in building load forecasting modeling, showing an average accuracy increase of 9.6% when using noise-cancelled energy data. The effectiveness of DWT/EMD techniques depends on data-driven algorithms and training data, suggesting customized selection and tuning for optimal performance in data-driven building load forecasting modeling.
ENERGY AND BUILDINGS
(2021)
Review
Energy & Fuels
Liang Zhang, Jin Wen, Yanfei Li, Jianli Chen, Yunyang Ye, Yangyang Fu, William Livingood
Summary: This paper reviews the application of machine learning techniques in building load prediction, covering tasks T, performance P, and experience E aspects. It discusses the modeling algorithms that improve performance, as well as data engineering for modeling, and concludes with identified gaps and future trends in machine learning application for building energy systems.
Article
Physics, Nuclear
Hong-Bo Jin, Peng Xu
Summary: TAIJI-1 is a micro-gravity experiment spacecraft aimed at verifying key techniques for gravitational wave detection, with data processing pipeline connecting the Science Operations Center and Data Processing Center. The experiment's payload detection devices are fully verified after 3 months, ensuring the spacecraft's techniques and data processing pipeline are reasonable and beneficial for future stages of the TAIJI Program.
INTERNATIONAL JOURNAL OF MODERN PHYSICS A
(2021)
Article
Construction & Building Technology
Liang Zhang, Jin Wen
Summary: This study explores the application of active learning in data-driven building energy forecasting and develops an effective strategy to address data bias issues. Through virtual and real-world testing, it is demonstrated that building energy forecasting models trained from data generated by the active learning strategy show improved performance.
ENERGY AND BUILDINGS
(2021)
Article
Thermodynamics
Liang Zhang, Matt Leach
Summary: This study developed a novel analysis methodology that comprehensively evaluates the impact of sensor faults on sensor selection and FDD accuracy. Monte Carlo simulation is used to deal with multiple stochastic sensor inaccuracies and provide probabilistic analysis results. The methodology can be useful for sensor design and operation maintenance.
BUILDING SIMULATION
(2022)
Article
Thermodynamics
Jiachen Mao, Mehdi Jafari, Audun Botterud
Summary: This study introduces a mathematical formulation of energy storage systems into a generation capacity expansion framework and finds that dynamic parameters of batteries do not significantly impact the optimal generation portfolio, while battery degradation leads to substantially different generation expansion outcomes. Battery energy storage is economically viable for 2020 only under strict carbon emission constraints, but by 2050, it becomes an attractive option for deep decarbonization given projected technology advances and cost reductions.
Article
Astronomy & Astrophysics
Yuchan Yang, Wen-Biao Han, Qianyun Yun, Peng Xu, Ziren Luo
Summary: This work discusses the improvement that the joint network of LISA and Taiji could provide on exploring two kinds of black hole formation mechanisms. The joint network has the potential to observe growing light seeds in the range 15 < z < 20, shedding light on the light seeding mechanism. For primordial origin, the joint network expands LISA's horizon towards lower mass end, increasing the chance of observing primordial black holes. The joint network also significantly improves the estimation of parameters.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Review
Green & Sustainable Science & Technology
Jianli Chen, Liang Zhang, Yanfei Li, Yifu Shi, Xinghua Gao, Yuqing Hu
Summary: This paper comprehensively reviews the state-of-the-art computing-based fault detection and diagnosis (FDD) methods for HVAC systems in buildings. It classifies the reviewed methods into knowledge-based and data-driven approaches, discusses important topics such as data availability and quality, and identifies remaining challenges and future research directions for FDD development.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Thermodynamics
Liang Zhang, Matt Leach, Jianli Chen, Yuqing Hu
Summary: This paper presents a sensor cost analysis workflow to quantify the economic implications of installing new sensors for data-driven building fault detection and diagnostics (FDD). A case study using Oak Ridge National Laboratory's test facility demonstrates the feasibility of the analysis and highlights key cost considerations in sensor selection for FDD.
Review
Thermodynamics
Liang Zhang, Zhelun Chen, Xiangyu Zhang, Amanda Pertzborn, Xin Jin
Summary: Machine learning control (MLC) is a flexible method that enhances the accuracy, automation, flexibility, and adaptability of building controllers. This paper provides a systematic review of MLC in building energy systems, focusing on two major application categories: building system modeling and control, and control process learning. The review identifies well-studied MLC topics and areas that require further research, and predicts future trends and opportunities for MLC in building control.
BUILDING SIMULATION
(2023)
Article
Astronomy & Astrophysics
Gang Wang, Bin Li, Peng Xu, Xilong Fan
Summary: In this study, we characterize the noise components in LISA gravitational wave data by combining TDI channels from Michelson and Relay configurations. Based on the noise characterization, we reconstruct the noise power spectrum and estimate the parameters and spectrum of stochastic gravitational wave signals.
Article
Engineering, Aerospace
Liming Wu, Peng Xu, Shuhong Zhao, Li-E Qiang, Ziren Luo, Yueliang Wu
Summary: Taiji-1 is the first technology demonstration satellite of China's Taiji program for space-borne gravitational wave antenna. It collects data to serve as a gravity recovery mission for China, providing independent measurement of the global static and monthly time-variable gravity field.
MICROGRAVITY SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Aerospace
Xiaokang Li, Heshan Liu, Pengzhan Wu, Haosi Li, Peng Xu, Ziren Luo
Summary: The laser frequency fluctuation leads to significant phase noise in the interferometer, which is a major challenge in space-borne gravitational wave detection missions. To address this issue, a post data processing method called time delay interferometer was developed and experimentally validated. The experimental results showed that the time delay interferometer could suppress the laser frequency fluctuation noise by more than 6 orders in the frequency band from 1 mHz to 0.1 Hz.
MICROGRAVITY SCIENCE AND TECHNOLOGY
(2022)
Article
Energy & Fuels
Yeonjin Bae, Saptarshi Bhattacharya, Borui Cui, Seungjae Lee, Yanfei Li, Liang Zhang, Piljae Im, Veronica Adetola, Draguna Vrabie, Matt Leach, Teja Kuruganti
Summary: This paper provides a comprehensive literature review on sensor systems in building/HVAC systems, focusing on their impacts on energy efficiency and thermal comfort in the context of controls. The study aims to understand past and current research while identifying future research opportunities. Through interviews and literature review, the researchers summarized key aspects of sensors and collected insights from industry experts and practitioners.
ADVANCES IN APPLIED ENERGY
(2021)
Review
Energy & Fuels
Liang Zhang, Matt Leach, Yeonjin Bae, Borui Cui, Saptarshi Bhattacharya, Seungjae Lee, Piljae Im, Veronica Adetola, Draguna Vrabie, Teja Kuruganti
Summary: A comprehensive literature review of over 100 FDD-sensor-related papers revealed a focus on FDD algorithms rather than sensors, with less attention on sensor hardware topics compared to software topics. Sensor engineering aspects are often neglected, and important sensor topics such as cost-effectiveness and sensor schema/layout/location are under-studied in the current research landscape.
ADVANCES IN APPLIED ENERGY
(2021)
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.
