Article
Thermodynamics
Fang Guo, Xiaoyue Zhu, Pengchao Li, Xudong Yang
Summary: This study proposes, designs, and assesses a large-scale industrial waste heat heating system integrated with borehole thermal energy storage (BTES) and an absorption heat pump. The simulation results demonstrate the significant potential of a large-scale BTES in buffering short-term temperature variations in industrial waste heat recovery systems. The optimization of storage volume and circulation flow rate based on economic indexes is crucial for maximizing economic benefits.
Article
Thermodynamics
Xiang Li, Selin Yilmaz, Martin K. Patel, Jonathan Chambers
Summary: The integration of fifth-generation district heating and cooling (5GDHC) with borehole thermal energy storage (BTES) can unlock synergies between heating and cooling, leading to advantages in terms of cost, emissions, efficiency, and electricity load. However, high upfront costs and the ratio of cooling to heating demand can affect the economic performance of this integrated system.
Article
Green & Sustainable Science & Technology
Hafiz Muhammad Ushamah, Naveed Ahmed, K. E. Elfeky, Mariam Mahmood, Mumtaz A. Qaisrani, Adeel Waqas, Qian Zhang
Summary: This study analyzed and compared the thermo-economic performance of solar hybrid district heating systems integrated with borehole TES systems in different climate zones in Pakistan, and identified the most suitable solar thermal collector technology.
Article
Thermodynamics
John Clauss, Ellika Taveres-Cachat, Maria Justo Alonso
Summary: This study presents the calibration, validation, and analysis of a borehole thermal energy storage (BTES) system using operational data from a borehole field in Kalnes, Norway. The study focuses on evaluating different operational strategies and their impact on the system's performance. The results show that the most recently implemented operational strategy is the most viable option, as it allows targeted heat injection/extraction and reduces temperature swings in the ground.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Julian Formhals, Frederik Feike, Hoofar Hemmatabady, Bastian Welsch, Ingo Sass
Summary: District heating is crucial for TU Darmstadt to reach its emission reduction target for 2050. Various strategies, including efficiency measures, solar thermal collectors, waste heat utilization, and seasonal storage, are being considered. Dynamic system simulations are used to compare different transition strategies in terms of environmental performance and economic efficiency, with gradual construction of solar thermal collectors and concurrent scaling-down of existing capacity being the most cost-effective strategy.
Article
Construction & Building Technology
Fang Guo, Xudong Yang
Summary: This study evaluated the long-term energy and exergy performance of a large-scale seasonal borehole thermal energy storage system in Chifeng, China, predicting a cyclic energy efficiency of 83.1% and an exergy efficiency of 40.7% over a 10-year simulation period. Sensitivity analysis revealed that total borehole length had the most significant influence on the system, followed by circulation flow rate and borehole spacing. Suggestions for system design optimization were provided based on the relationship between energy efficiency and exergy efficiency.
ENERGY AND BUILDINGS
(2021)
Article
Thermodynamics
Haoran Li, Juan Hou, Tianzhen Hong, Yuemin Ding, Natasa Nord
Summary: This study explores the utilization of waste heat from data centres in district heating systems by introducing thermal energy storages. Results showed that a water tank can reduce peak loads by 31% and save annual energy costs by 5%, while a borehole thermal energy storage system can increase waste heat utilization rate to 96% and reduce annual CO2 emissions by 8%.
Article
Multidisciplinary Sciences
Kristina Lebedeva, Lana Migla, Tatjana Odineca
Summary: The growing urban population has led to an increase in energy demand, which requires finding a secure, environmentally friendly, flexible, renewable and sustainable energy transformation system. District energy networks offer a promising solution. This article focuses on a best practice project in Latvia, which demonstrates the impact of solar energy on a district heating system. Through simulation and validation, it is shown that a fully renewable district heating system can cover up to 20% of the heating demand using solar collectors with thermal storage.
JOURNAL OF KING SAUD UNIVERSITY SCIENCE
(2023)
Article
Energy & Fuels
Christopher S. Brown, Hannah Doran, Isa Kolo, David Banks, Gioia Falcone
Summary: Decarbonisation of heat is crucial, but renewable resources may not meet peak demand. Underground thermal energy storage, such as borehole thermal energy storage (BTES), can store heat during low demand periods. This study examines the impact of groundwater flow on the performance of BTES and heat extraction.
Review
Thermodynamics
A. Kang, I Korolija, D. Rovas
Summary: This work presents the first comprehensive review on photovoltaic thermal district heating (PVT DH), analyzing its current status, potential opportunities, and disadvantages. The review highlights the need for research on control strategies, temperature optimization, energy storage, and integration with heat pumps to enhance the performance of PVT DH systems. This study identifies several external drivers that could establish PVT DH as a promising option for clean heating in the future.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Christopher S. Brown, Isa Kolo, Gioia Falcone, David Banks
Summary: Borehole thermal energy storage (BTES) is an important technology for reducing greenhouse gas emissions by storing surplus heat or renewable energy. This study investigates the efficiency of BTES using a single deep borehole heat exchanger (DBHE) in Newcastle, through numerical modeling and sensitivity analyses. The results show that the operational parameters have the most significant impact on thermal recovery in deep BTES systems.
APPLIED THERMAL ENGINEERING
(2023)
Review
Green & Sustainable Science & Technology
Yurun Guo, Shugang Wang, Jihong Wang, Tengfei Zhang, Zhenjun Ma, Shuang Jiang
Summary: This paper reviews the development of the new generation of district heating systems and provides an overview of research on building energy flexibility in the field of heating. It categorizes and summarizes different technologies and discusses control strategies, analyzing the realization of thermal energy flexibility and potential challenges in the development of the new generation of district heating systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Thermodynamics
M. A. Pans, G. Claudio, P. C. Eames
Summary: A model was developed to simulate and analyze the performance of a district heating system supplied with heat from renewable sources and different thermal energy storage systems. The model considers weather data, building specifications, and occupancies to calculate hourly heat demands and heat produced. It also takes into account recent research on heat storage systems. The model enables the analysis of operating parameters on system cost and energy efficiency to determine optimal conditions for a town or urban area.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Thermodynamics
Muhammed A. Hassan, Sylvain Serra, Sabine Sochard, Hugo Viot, Frederic Martias, Jean-Michel Reneaume
Summary: The optimal operation of thermal energy storage in modern district heating networks is crucial for enhancing efficiency and economics. Most of the proposed optimization schemes in the literature linearize the problem to reduce computational burden, but sacrifice accuracy. In this study, a partial optimization framework is proposed, which offers high-quality solutions with reduced computational costs and good scalability.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Construction & Building Technology
Siddarth Durga, Koenraad F. Beckers, Milton Taam, Frank Horowitz, Lawrence M. Cathles, Jefferson W. Tester
Summary: Using BTES to store excess summer steam for heating Snee Hall on Cornell campus in cold winter climate is technically and economically feasible, resulting in increased heating efficiency, reduced carbon emissions, and significant cost savings over the long term.
ENERGY AND BUILDINGS
(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.