Article
Energy & Fuels
Mohammadali Kiehbadroudinezhad, Ali Rajabipour, Michael Cada, Majid Khanali
Summary: In the Middle East, utilizing seawater desalination technology integrated with renewable energy sources can help solve freshwater shortages more effectively and cost-efficiently. Research shows that the WT/PV/BBS configuration is the optimal choice, providing high reliability and longer battery life.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Rosanna O'Neill, Adriaan Window, Steven Kenway, Paul Dargusch
Summary: The buildings sector significantly contributes to global greenhouse gas emissions, with building energy use expected to double by 2050. Research indicates that double-glazed low-emissivity materials are most energy and financially efficient, while clear double-glazing has the poorest overall performance, especially in sub-tropical climates.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Pooja Yadav, Dimitris Athanassiadis, Io Antonopoulou, Ulrika Rova, Paul Christakopoulos, Mats Tysklind, Leonidas Matsakas
Summary: The study focuses on life cycle and cost assessment of novel organosolv lignin production process from spruce bark, comparing different scenarios to identify the most environmentally and economically suitable option. Results show that the baseline scenario has higher global warming potential and total cost compared to other scenarios, with scenario S2 being the most optimal choice.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Automation & Control Systems
Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano
Summary: This paper presents a distributed optimization algorithm for solving online personalized optimization problems over a network of computing and communicating nodes. The algorithm consists of two components: a dynamic gradient tracking scheme for finding local solution estimates and a recursive least squares scheme for estimating unknown parameters. The algorithm exhibits a bounded regret under suitable assumptions. A numerical example is provided to corroborate the theoretical analysis.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Chemistry, Multidisciplinary
Anna Stoppato, Alberto Benato, Francesco De Vanna
Summary: The study focuses on assessing the environmental impact of storage systems integrated with renewable energy plants, highlighting the importance of proper definition of functional unit in the analysis. It shows that the integration of storage systems with renewable energy has the potential to improve network performance and reduce energy production costs, but the overall environmental sustainability needs further attention. Environmental concerns regarding electrochemical accumulators, particularly heavy metals and chemical components, are discussed. Additionally, the study emphasizes the positive effects of material reuse and recycling in reducing overall impacts.
APPLIED SCIENCES-BASEL
(2021)
Article
Thermodynamics
Chiara Piccardo, Leif Gustavsson
Summary: Deep energy retrofits of existing buildings are important for achieving a renewable-based society, but are lacking in the EU. This study analyzes the cost and primary energy savings of deep energy retrofits, considering all life cycle phases. The results show that a retrofit to passive house standards with limited heat use is profitable and significantly reduces primary energy consumption compared to non-retrofitted buildings.
Article
Business
Tarek Ghazouani
Summary: This study proposes a non-parametric method to examine the relationship between globalization and renewable energy consumption, finding heterogeneous effects at different time periods. The results provide insights for policymakers in considering the impact of globalization.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Energy & Fuels
Hilal Bahlawan, Mirko Morini, Pier Ruggero Spina, Mauro Venturini
Summary: The design optimization methodology of distributed energy plants considers life cycle impacts to mitigate global energy consumption and carbon emissions. By scaling life cycle inventory data using scaling laws gathered from commercially available systems of various sizes, energy and environmental impacts can be quantified for optimal plant design. This approach demonstrates the effective design of a distributed energy plant and the economic assessment of different configurations, with potential for significant energy savings and cost reductions.
Article
Computer Science, Interdisciplinary Applications
Lin Li, ChenGuang Liu, WeiYue Zhang, Yan Xu
Summary: This paper investigates investment decisions in Distributed Renewable Energy (DRE) considering both profit and environmental impact from a life-cycle perspective. The results show that increasing DRE generation can lead to environmental improvement under certain conditions. Factors such as the intermittency of renewable energy sources and the costs of backup energy sources influence investment decisions in DRE.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Energy & Fuels
Chen She, Rui Jia, Bei-Ning Hu, Ze-Kun Zheng, Yi-Peng Xu, Dragan Rodriguez
Summary: A new global multiple-objective optimization method combined with a comprehensive assessment method is used in this study for zero-energy building design. By optimizing the energy systems of buildings and considering factors such as solar energy utilization efficiency, economic, and social aspects, the best solution is presented for practical building design guidance.
Article
Thermodynamics
Mohammadali Kiehbadroudinezhad, Adel Merabet, Ali Rajabipour, Michael Cada, Shahideh Kiehbadroudinezhad, Majid Khanali, Homa Hosseinzadeh-Bandbafha
Summary: The paper introduces a novel energy management system for optimized operation of a stand-alone hybrid energy system. A division algorithm is proposed to solve the multi-objective optimization problem, which is more flexible and faster compared to conventional algorithms. Results show that the proposed algorithm is faster and more accurate than genetic algorithm and artificial bee swarm optimization.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Stephen Comello, Gunther Glenk, Stefan Reichelstein
Summary: This paper introduces a life-cycle cost model for mobility services to study utilization rates and cost efficiency in clean energy transportation. The analysis of urban transit buses reveals that electric buses can achieve lower life-cycle costs at high utilization rates.
Article
Energy & Fuels
Vilppu Eloranta, Aki Groenman, Aleksandra Woszczek
Summary: This study developed an efficient and applicable multi-objective optimization method for building energy systems and applied it to a campus building in Lahti, Finland. The analysis showed that economically beneficial local energy production and storage retrofits do not always lead to reductions in life cycle CO2-eq emissions, highlighting the importance of correct emission factors and assumptions for reliable optimization results.
Article
Energy & Fuels
Na Li, Ozge Okur
Summary: This study conducts an economic feasibility analysis for energy communities with two investment options and various cost allocation methods. The results show that it is economically feasible for a third party to invest in an energy community with the right energy prices and payback time. Multiple cost allocation methods can be implemented within the same energy community. Local community members benefit the most from joint investment, despite the high initial investment costs. The energy costs of each household are greatly influenced by the payback time and cost allocation methods.
Review
Green & Sustainable Science & Technology
Shalini Nakkasunchi, Neil J. Hewitt, Claudia Zoppi, Caterina Brandoni
Summary: Wastewater treatment plants significantly contribute to the greenhouse gas emissions of the water industry and responsible for 3% of global energy demand. A review was conducted on modelling tools for water-energy nexus analysis in wastewater facilities to aid researchers and professionals in identifying suitable tools for decarbonisation strategies. The study grouped interventions into energy demand reduction, energy production from wastewater, and integration of renewable sources, emphasizing the need for comprehensive energy-water optimization tools.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Environmental
Yangying Zhao, Xin Tong, Yongsheng Chen
Summary: A novel thin-film composite polyamide membrane was designed for highly selective nanofiltration to remove micropollutants and preserve valuable nutrients in domestic wastewater. By tuning membrane pore size, distribution, and surface charge, it achieved desirable solute-solute selectivity. The study highlights the potential of designing solute-selective NF membranes for improved flexibility in wastewater treatment and resource recovery.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Nanoscience & Nanotechnology
Qilei Yang, Qi Li, Xiyang Wang, Xiao Wang, Lei Li, Xuefeng Chu, Dong Wang, Jishuai Men, Xinbo Li, Wenzhe Si, Yue Peng, Yongliang Ma, Junhua Li
Summary: This article presents a novel high-performance diesel oxidation catalyst (DOC) with high steam resistance and thermal stability. By modifying the surface physicochemical environment of CeO2-SmMn2O5, the catalyst exhibits excellent low-temperature oxidation catalytic activity and NO conversion.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Engineering, Environmental
Xi Chen, Xin Tong, Jiabin Gao, Lijuan Yang, Jianuo Ren, Weijie Yang, Su Liu, Meng Qi, John Crittenden, Runlong Hao
Summary: A bifunctional beta-FeOOH@MXene material was fabricated and showed excellent performance in nitrite oxidation and Hg2+ removal. The synergism between MXene and beta-FeOOH played a key role in the material's outstanding abilities.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Engineering, Environmental
Yangying Zhao, Xin Tong, Juhee Kim, Tiezheng Tong, Ching-Hua Huang, Yongsheng Chen
Summary: This study presents a novel capillary-assisted interfacial polymerization (CAIP) approach to fabricate metal-organic framework (MOF)-polyamide (PA) nanocomposite membranes. By regulating the PA-MOF interactions, CAIP achieves effective exposure of MOF nanochannels on the membrane surface and a high cross-linking gradient in the vertical direction of the PA matrix, resulting in improved water permeance and selectivity between nutrient ions and PFASs.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Engineering, Environmental
Xin Tong, Su Liu, Yangying Zhao, Lei Huang, John Crittenden, Yongsheng Chen
Summary: This study demonstrates the facile fabrication of MXene composite membranes by incorporating spacing agents with SO3H groups. The synthesized membrane shows enhanced ion conductance and ion selectivity. These membranes can be used for salinity gradient power generation and lithium-ion recovery.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Chemistry, Applied
Zhenhua Xie, Elaine Gomez, Dong Wang, Ji Hoon Lee, Tiefeng Wang, Jingguang G. Chen
Summary: The study demonstrated the promising performance of Fe/ZSM-5 catalysts in the simultaneous reduction of CO2 and aromatization of ethane. Characterization techniques such as XRD and XAFS were employed to analyze the catalyst species distribution and structure properties, while transient studies revealed the impact of CO2 and steam on catalyst activity.
JOURNAL OF ENERGY CHEMISTRY
(2022)
Article
Engineering, Chemical
Xin Tong, Su Liu, Yangying Zhao, Chengchao Xiao, Yongsheng Chen, John Crittenden
Summary: Freestanding graphene oxide (GO) framework membranes were synthesized and studied for their performance in a forward osmosis (FO) system. The results showed that the size and surface charge density of the membrane pores influenced salt transport, and the extension of the electrical double layer (EDL) inside the pores had an impact on both forward and reverse solute transport.
JOURNAL OF MEMBRANE SCIENCE
(2022)
Article
Chemistry, Physical
Sitong Liu, Shengli Niu, Jiangwei Liu, Dong Wang, Yongzheng Wang, Kuihua Han
Summary: This paper investigates the mechanism of formaldehyde oxidation by doped carbon-based single atom catalysts, including Fe/DV-N4, Co/DV-N4, and Pd/DV-N4, using density functional theory (DFT). The Fe-doped system shows the strongest adsorption to formaldehyde, followed by Pd. The optimal adsorption temperature for formaldehyde in the Fe and Co systems is 500 K, while it is 300 K in the Pd system. The Fe/DV-N4 catalyst exhibits higher catalytic activity for formaldehyde oxidation due to its smaller energy barrier.
MOLECULAR CATALYSIS
(2022)
Review
Engineering, Environmental
Bin Wang, Hongyuan Ma, Chuan Gao, Yue Xuan, Yanjie Liang, Kangbo Tong, Qiaowan Chang, Yang Yun, Dong Wang, Tao Luan, Kuihua Han, Junhua Li
Summary: Catalytic oxidation is effective in removing stable CO and light alkanes. Noble metal catalysts show excellent performance due to their strong chemisorption of CO and high activity towards methyl dehydrogenation. The interfacial effects dominate the charge states of noble metals through the metal-support interactions, thereby governing their stability and activation effects to reactants.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Environmental
Jiantao Li, Fawei Lin, Hongdi Yu, Xin Tong, Zhanjun Cheng, Beibei Yan, Yingjin Song, Guanyi Chen, Li'an Hou, John C. Crittenden
Summary: This study investigates an integrated strategy of biochar-assisted catalytic pyrolysis (BCP) of oily sludge (OS) and residue utilization for soil reclamation, which can effectively remove recalcitrant petroleum hydrocarbons, stabilize heavy metals, and improve soil microbial communities, facilitating plant germination and secondary removal of petroleum hydrocarbons.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Engineering, Chemical
Su Liu, Xin Tong, Lei Huang, Chengchao Xiao, Kaihang Zhang, Yongsheng Chen, John Crittenden
Summary: Utilizing graphene oxide membranes with improved selectivity, lithium-ion extraction and recovery from unconventional aqueous sources can be achieved. By incorporating sulfonate groups into the membrane matrices, the selectivity of lithium over other monovalent ions is enhanced, allowing for concentration and recovery of lithium from solutions containing competing ions.
JOURNAL OF MEMBRANE SCIENCE
(2023)
Review
Chemistry, Physical
Lijun Meng, Wei Shi, Yang Li, Xuesong Li, Xin Tong, Zhiwei Wang
Summary: Membrane technology is an efficient strategy for addressing water and energy scarcity globally. However, traditional membranes have limitations such as low permeability, low selectivity, and high fouling tendency. Janus membranes are promising solutions to overcome these limitations due to their unique transport behaviors and separation properties. This review provides a comprehensive summary and critical discussion on the research advances of Janus membranes in the water-energy nexus, including design strategies, working principles, and applications in various membrane systems.
ADVANCES IN COLLOID AND INTERFACE SCIENCE
(2023)
Article
Chemistry, Physical
Kaihang Zhang, Yuanzheng Zhang, Su Liu, Xin Tong, Junfeng Niu, Dong Wang, Junchen Yan, Zhaoyang Xiong, John Crittenden
Summary: In this study, a MnOx-TiO2 NTAs anode was prepared by compositing narrow bandgap manganese oxide (MnOx) with TiO2 nanotube arrays (TiO2 NTAs). Electrochemical characterizations revealed that increasing the composited concentration of MnOx improved the conductivity and reduced the oxygen evolution potential, thus enhancing the electrochemical activity of the MnOx-TiO2 NTAs anode. Moreover, the optimal degradation rate of benzoic acid (BA) was achieved by adjusting the MnOx concentration and degradation voltage. These quantitative results are of great significance for the design and application of high-performance materials for electrochemical advanced oxidation processes (EAOPs).
GREEN ENERGY & ENVIRONMENT
(2023)
Article
Engineering, Environmental
Dandan Yang, Junhui Zhang, Mengfei Xie, Xin Tong, Tianshen Jiang, Wenze Yu, Dan Qu
Summary: An integrated hollow fiber membrane contactor (HFMC) and chemical precipitation process were developed for simultaneous recovery of nitrogen (N), phosphorus (P) and potassium (K) from diluted human urine. Optimal operating parameters were determined to achieve high recovery efficiency of N (97.02% ± 0.07%), P (92.64% ± 0.29%) and K (73.47% ± 0.65%). The liquid product mainly consisted of (NH4)2HPO4 and NH4H2PO4, while the solid product contained various precipitates rich in Mg, P and K, including slow-release fertilizers like MgKPO4 and MgNH4PO4. Both liquid and solid products have potential applications in agriculture, horticulture, and landscaping.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2022)
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.
