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
Thermodynamics
Xuemei Zhang, Leihong Guo, Jianlin Ren, Xiangfei Kong
Summary: A new mid-temperature phase change material was prepared in this study, and expanded graphite was added to reduce supercooling and enhance thermal conductivity. Experimental results showed that the material had low supercooling, high thermal conductivity, and low corrosion rate to common metal materials. The use of this material in solar heating systems can significantly save energy.
APPLIED THERMAL ENGINEERING
(2022)
Article
Construction & Building Technology
Luyi Xu, Fang Guo, Pieter-Jan Hoes, Xudong Yang, Jan L. M. Hensen
Summary: This paper presents a modeling and simulation method to support the energy performance assessment and operation strategy investigation of borehole thermal energy storage in the Chifeng district heating system. Through a living laboratory in Chifeng, China, with a integrated system, the research adopts Modelica models to evaluate the system and found that the time-scheduled combined operation strategy is more beneficial for reducing CO2 emissions.
ENERGY AND BUILDINGS
(2021)
Article
Energy & Fuels
Willy Villasmil, Marcel Troxler, Reto Hendry, Philipp Schuetz, Jorg Worlitschek
Summary: A numerical analysis was conducted to investigate the impact of different solar collector control strategies on the performance of a solar heating system coupled with seasonal thermal energy storage. It was found that the specific performance characteristics of each controller are closely related to the thermal stratification in the storage and the controller's ability to maintain the stratification throughout the year.
JOURNAL OF ENERGY STORAGE
(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
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
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
Thermodynamics
Yacob Gebreyohannes Hiben, Mulu Bayray, Johan Lauwaert
Summary: Integrating solar thermal collectors into industrial processes can achieve economic and environmental goals by replacing conventional fuels. A TRNSYS-based dynamic statistical optimization model was developed to evaluate FPC-based solar-assisted heating systems for MOHA soft drinks and Sheba leather factories in Ethiopia. The optimized designs resulted in significant cost savings, high solar fractions, and a good margin on temperature trends.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Xiuyan Yue, Yujie Xu, Xuezhi Zhou, Dehou Xu, Haisheng Chen
Summary: A solar heating system with seasonal and cascade thermal-energy storage based on zeolite water is proposed in this study. The system's efficiency is improved through cascade storage and the release of solar energy. The results indicate that the proposed system has higher collection and utilization efficiency than the reference system.
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
Energy & Fuels
Erich Ryan, Benjamin McDaniel, Dragoljub Kosanovic
Summary: This study investigates the use of Thermal Energy Storage (TES) to reduce the peak daily demand of ground source heat pump (GSHP) systems and improve their cost effectiveness. The addition of TES can reduce operating costs by 4.5%, but still incurs a 5.64% increase in costs compared to a Combined Heat and Power (CHP) system. However, integrating heat pumps tactically into the CHP system is the most cost effective solution, only increasing operating costs by 4.71%.
Article
Energy & Fuels
Hoofar Hemmatabady, Bastian Welsch, Julian Formhals, Ingo Sass
Summary: Borehole heat exchanger (BHE) arrays are an important technology for sustainable building heating and cooling energy. This study evaluates different system layouts in terms of emissions and economic efficiency, and finds that solar-assisted layouts have lower emissions and are more economically advantageous compared to fossil-based systems.
Article
Thermodynamics
Mathilde Veyron, Antoine Voirand, Nicolas Mion, Charles Maragna, Daniel Mugnier, Marc Clausse
Summary: This paper proposes an exergoeconomic approach to assess the impact of integrating BTES into the existing district heating system in Chateaubriant, France. Through a ten-year dynamic simulation, it is shown that control strategies and charging temperature of BTES greatly affect the system operation and cost of heat storage.
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
Thermodynamics
Alicia Crespo, Daniel Gibert, Alvaro de Gracia, Cesar Fernandez
Summary: This study applies deep reinforcement learning (DRL) to control a solar-driven seasonal sorption thermal energy storage (TES) system for the first time and compares it with a traditional optimized rule-based control strategy. The results show that the DRL strategy significantly reduces the operational costs of the system, but performs worse once the sorption TES is fully discharged.
APPLIED THERMAL ENGINEERING
(2024)
Article
Physics, Applied
Nanda Gopal Sahoo, Richard J. Esteves, Vinay Deep Punetha, Dmitry Pestov, Indika U. Arachchige, James T. McLeskey
APPLIED PHYSICS LETTERS
(2016)
Article
Computer Science, Artificial Intelligence
Joshua Clarke, Laura McLay, James T. McLeskey
ADVANCED ENGINEERING INFORMATICS
(2014)
Article
Engineering, Chemical
P. Worth Longest, James T. McLeskey, Michael Hindle
AEROSOL SCIENCE AND TECHNOLOGY
(2010)
Article
Chemistry, Physical
Marshall L. Sweet, Dmitry Pestov, Gary C. Tepper, James T. McLeskey
APPLIED SURFACE SCIENCE
(2014)
Article
Construction & Building Technology
L. T. Terziotti, M. L. Sweet, J. T. McLeskey
ENERGY AND BUILDINGS
(2012)
Article
Energy & Fuels
Joshua Clarke, James T. McLeskey
Article
Chemistry, Physical
Santanab Giri, Corell H. Moore, James T. Mcleskey, Puru Jena
JOURNAL OF PHYSICAL CHEMISTRY C
(2014)
Article
Nanoscience & Nanotechnology
Dongshan Yu, Tarek Trad, James T. McLeskey, Valentin Craciun, Curtis R. Taylor
NANOSCALE RESEARCH LETTERS
(2010)
Article
Energy & Fuels
Shinobu Nagata, Gary M. Atkinson, Dmitry Pestov, Gary C. Tepper, James T. McLeskey
SOLAR ENERGY MATERIALS AND SOLAR CELLS
(2011)
Article
Materials Science, Multidisciplinary
S. Pradhan, J. Redwine, J. T. McLeskey, A. Dhar
Article
Materials Science, Multidisciplinary
Shinobu Nagata, Gary M. Atkinson, Dmitry Pestov, Gary C. Tepper, James T. Mcleskey
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING
(2013)
Article
Materials Science, Multidisciplinary
Richard J. Alan Esteves, Veronica Gornick, Dea Santi Alqurwani, Joshua Koenig-Lovejoy, Haneen Abdelrazeq, Majeda Khraisheh, Anna Forzano, Mohamed Gad-el-Hak, Hooman Vahedi Tafreshi, James T. McLeskey
EMERGENT MATERIALS
(2020)
Article
Energy & Fuels
Joshua Clarke, Shane Colclough, Philip Griffiths, James T. McLeskey
INTERNATIONAL JOURNAL OF AMBIENT ENERGY
(2014)
Article
Education, Scientific Disciplines
John E. Speich, James T. Mcleskey, Mohamed Gad-El-Hak
INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION
(2010)
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.