Article
Materials Science, Multidisciplinary
Reza Safavi Nick, Virpi Leinonen, Juha Mayra, Johan Bjorkvall
Summary: The steel industry is actively pursuing greener industry by utilizing energy recovery from by-products such as slag. Through iterative modelling, an optimized heat recovery apparatus has been achieved, resulting in a significant increase in the temperature of the air entering the apparatus.
Article
Thermodynamics
Luca Cioccolanti, Massimiliano Renzi, Gabriele Comodi, Mose Rossi
Summary: Waste Heat Recovery (WHR) from energy intensive industries, especially in the pulp and paper sector, can significantly reduce CO2 emissions and save energy. District Heating (DH) is an effective solution to satisfy heating demand and connect residential buildings to cogeneration plants. The proposed method allows for evaluating thermal power distribution and assessing the environmental and energy benefits of WHR.
APPLIED THERMAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Yurong Liu, Minglei Yang, Yuxing Ding, Meihong Wang, Feng Qian
Summary: This study optimizes a low-grade heat recovery model for petrochemical plants by integrating the organic Rankine cycle (ORC) with heat exchanger network (HEN). The steady-state model is developed, and the ORC operation conditions are optimized. The thermodynamics and economic analysis show improved system performance with increased heat recovery, higher exergy efficiency, and reduced annual cost.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Dongwei Zhang, Chenglei Fang, Zhao Gao, Xin Wang, Chao Shen, Hang Li
Summary: Wastewater heat pump systems are extensively researched for their energy conservation and environmental benefits. This study examines the use of transcritical CO2 heat pumps for wastewater heat recovery, and compares them with regenerative boiler systems. The results show that the regenerative heat pump system can save 76.67% more energy than the regenerative boiler system, with reduced carbon dioxide emissions and lower life cycle costs. With government subsidies, the regenerative heat pump system can achieve a higher annual average cost difference. This research promotes the implementation of transcritical CO2 heat pumps in wastewater heat recovery technology.
APPLIED THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Benzhi Hou, Yihua Zheng, Luyi Xing, Qinglu Song
Summary: The performance of thermoelectric heat pumps is enhanced by air recirculation and regenerative energy recovery. Experimental results show that the COP of the air recirculation TEHP is as high as about 3.7, and the COP with recirculation is 51-73% higher than without recirculation. The combination of regenerative heat recovery and air recirculation further improves the energy efficiency of the heat exchanger test system.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Bruno Hadengue, Eberhard Morgenroth, Tove A. Larsen, Luca Baldini
Summary: In Switzerland, heat pumps are increasingly used to de-carbonize the building stock, with 70% using ambient air as heat source, although less efficient compared to ground or water-source heat pumps. A modeling study showed that utilizing domestic greywater can improve the efficiency of air-source heat pumps, with closed-loop systems showing the highest performance improvement potential.
Article
Construction & Building Technology
Yunseok Jang, Dongchan Lee, Jinyoung Kim, Se Hyeon Ham, Yongchan Kim
Summary: A waste-heat recovery water-source heat pump system has been proposed in this study, combining data centers and residential areas, which significantly reduces energy consumption, enhances system performance, and decreases CO2 emissions.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Thermodynamics
Jason Hirschey, Zhenning Li, Kyle R. Gluesenkamp, Tim J. LaClair, Samuel Graham
Summary: A heat pump can transfer heat from a low-temperature source to a high-temperature sink with energy input. Integrating thermal energy storage (TES) into a heat pump system allows advantageous coupling to different temperature bodies. The circumstances for TES integration with heat pumps are not well understood.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2023)
Article
Construction & Building Technology
Matt Wegner, Helen Turnell, Gareth Davies, Akos Revesz, Graeme Maidment
Summary: This study investigates the use of District Heating in cable tunnels and explores the benefits of heat recovery in reducing electrical distribution losses and operating costs. The results show significant potential for wide-scale replication and environmental benefits.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Green & Sustainable Science & Technology
Safak Atas, Ilhan Ceylan, Osman Egemen Timar
Summary: The aim of this study was to enhance the efficiency of heat pump systems commonly used for heating in winter. A combined system was created by integrating the heat pump system, solar air collectors, and a heat recovery device. The utilization of these systems together prevented the decrease in energy efficiency that may occur over the course of a day and improved their overall efficiency.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Energy & Fuels
Jose de Jesus Mendoza-Pedroza, Eduardo Sanchez-Ramirez, Juan Gabriel Segovia-Hernandez, Salvador Hernandez, Alvaro Orjuela
Summary: The novel distillation scheme using a dividing wall column to purify isoamyl alcohol from other fusel alcohols is more energy-efficient and offers significant cost savings compared with the conventional scheme.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2021)
Article
Energy & Fuels
Yusheng Chen, Phillip Standl, Sebastian Weiker, Matthias Gaderer
Summary: This study investigates the integration of compression heat pumps into biomass heating networks. The results show that integrating heat pumps can significantly improve system efficiency, with flue gas-side integration being more cost-effective. Additionally, adjusting the optimal setpoint of exhaust gas temperature can achieve cost-effectiveness for both integration concepts.
Article
Thermodynamics
Haichao Wang, Pengmin Hua, Xiaozhou Wu, Ruoyu Zhang, Katja Granlund, Ji Li, Yingjie Zhu, Risto Lahdelma, Esa Teppo, Li Yu
Summary: This paper proposes using an electric heat pump to decouple heat and power and save energy, and analyzes the heat-power decoupling and energy saving potential. The results indicate that the heat-power decoupling potential is greater when the heat pump DH ratio and heat demand increase, and increasing the coefficient of performance and heat pump DH ratio can enhance the energy saving effect.
Article
Thermodynamics
Dahiru U. Lawal, Mohamed A. Antar
Summary: This paper introduces a vapor compression heat pump-driven humidification-dehumidification process with energy recovery options to enhance system performance. Results show that recovering thermal energy can reduce freshwater production costs and improve system efficiency.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Engineering, Chemical
Minyong Lee, Heecheon Lee, Chaeyeong Seo, Jeongwoo Lee, Jae W. Lee
Summary: This study proposes energy-efficient design alternatives for dimethyl carbonate production by combining various heat integration routes. The hybrid heat integrated sequences, based on internal and external heat integration and a vapor recompression heat pump, resulted in cost reduction, energy savings, and reduced CO2 emissions, by eliminating certain heat duties.
SEPARATION AND PURIFICATION TECHNOLOGY
(2022)
Article
Energy & Fuels
Vincent Krakowski, Edi Assoumou, Vincent Mazauric, Nadia Maizi
Article
Thermodynamics
Paul Hugues, Edi Assoumou, Nadia Maizi
Article
Economics
Gondia Sokhna Seck, Gilles Guerassimoff, Nadia Maizi
Article
Economics
Sebastien Postic, Sandrine Selosse, Nadia Maizi
Article
Energy & Fuels
Seungwoo Kang, Sandrine Selosse, Nadia Maizi
INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY
(2017)
Article
Energy & Fuels
Sandrine Selosse, Olivia Ricci, Sabine Garabedian, Nadia Maizi
Article
Energy & Fuels
Emmanuel Hache, Gondia Sokhna Seck, Marine Simoen, Clement Bonnet, Samuel Carcanague
Article
Energy & Fuels
Gondia Sokhna Seck, Vincent Krakowski, Edi Assoumou, Nadia Maizi, Vincent Mazauric
Article
Engineering, Environmental
Gondia Sokhna Seck, Emmanuel Hache, Clement Bonnet, Marine Simoen, Samuel Carcanague
RESOURCES CONSERVATION AND RECYCLING
(2020)
Article
Environmental Studies
Gondia Sokhna Seck, Emmanuel Hache, Charlene Barnet
Summary: The decarbonization of the transport sector is crucial for public policies in the energy transition. Cobalt, used in batteries for electric vehicles, is expected to face increasing demand. To evaluate cobalt availability until 2050, climate and mobility scenarios were considered, with a focus on cobalt content.
Article
Green & Sustainable Science & Technology
Gondia S. Seck, Emmanuel Hache, Jerome Sabathier, Fernanda Guedes, Gunhild A. Reigstad, Julian Straus, Ove Wolfgang, Jabir A. Ouassou, Magnus Askeland, Ida Hjorth, Hans I. Skjelbred, Leif E. Andersson, Sebastien Douguet, Manuel Villavicencio, Johannes Trueby, Johannes Brauer, Clement Cabot
Summary: The paper examines the potential of low-carbon and renewable hydrogen in decarbonizing the European energy system. It presents two policy-relevant scenarios and uses cost optimization modeling to estimate hydrogen production. The results show that hydrogen production will significantly increase in the coming decades and rely on a diverse mix of technologies and imports from neighboring regions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Multidisciplinary Sciences
Behrang Shirizadeh, Manuel Villavicencio, Sebastien Douguet, Johannes Truby, Charbel Bou Issa, Gondia Sokhna Seck, Vincent Dherbemont, Emmanuel Hache, Louis-Marie Malbec, Jerome Sabathier, Malavika Venugopal, Fanny Lagrange, Stephanie Saunier, Julian Straus, Gunhild A. Reigstad
Summary: This study examines the cost-optimal European energy transition with CO2 and methane neutrality objectives. The findings show that the adoption of the best available methane abatement technologies can significantly reduce methane leakage and limit the environmental burden to a lower level. Additionally, renewable energy sources are identified as the key drivers for achieving climate neutrality, while natural gas requires high levels of emission reductions.
NATURE COMMUNICATIONS
(2023)
Proceedings Paper
Energy & Fuels
Nadia Maizi, Vincent Krakowski, Edi Assoumou, Vincent Mazauric, Xiang Li
2016 THE 4TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE)
(2016)
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.