Article
Computer Science, Artificial Intelligence
Saqib Ameen, Levi H. S. Lelis
Summary: This paper presents a novel bottom-up search algorithm called "BEE SEARCH" which solves the problem of losing useful information and not performing a best-first search according to a cost function in current state-of-the-art cost-guided bottom-up search (BUS) algorithms. BEE SEARCH achieves best-first ordering in program generation by performing a search in an abstract space of program costs and does not create more expensive programs in memory. The paper also introduces a new cost function that better utilizes the information provided by an existing cost model. Empirical results demonstrate the superiority of BEE SEARCH in complex domain-specific languages (DSLs) and the better performance of the new cost function in string manipulation tasks.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
(2023)
Review
Biochemistry & Molecular Biology
Tiedong Sun, Vishal Minhas, Nikolay Korolev, Alexander Mirzoev, Alexander P. Lyubartsev, Lars Nordenskiold
Summary: This review presents some well-developed bottom-up coarse-graining methods for effective modeling of DNA properties, such as DNA flexibility, conformation, melting, and condensation, based on underlying atomistic force field simulations. These methods separate fast and slow dynamic processes in molecular systems and construct coarse-grained Hamiltonian using pair-wise additive potential for efficiency in computer simulation.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Arndt Feuerbacher, Tristan Herrmann, Sebastian Neuenfeldt, Moritz Laub, Alexander Gocht
Summary: This article assesses the economics and adoption potential of agrivoltaics using national farm accountancy data in Germany. The results show that solar radiation and investment costs are key determinants, and economies-of-scale favor farms with large arable land area. Policy support is needed to make agrivoltaics competitive and ensure its land-efficiency advantage.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Xavier Rixhon, Davide Tonelli, Martin Colla, Kevin Verleysen, Gauthier Limpens, Herve Jeanmart, Francesco Contino
Summary: This paper discusses the impact of non-energy demand on the optimal configuration of energy systems using a bottom-up whole-energy system model. The study on the Belgian energy system reveals that the presence of non-energy demand is crucial for the defossilization of energy systems, especially when renewable resources are limited.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Chemistry, Applied
Chao Zhong, Krisztina Zajki-Zechmeister, Bernd Nidetzky
Summary: This research demonstrated the bottom-up synthesis of reducing end thiol-modified cellulose chains for the preparation of highly ordered cellulose-silver nanocomposite materials with excellent antibacterial activity. The synthetic thiol-containing nanocellulose can expand the scope of cellulose materials produced through top-down approaches.
CARBOHYDRATE POLYMERS
(2021)
Article
Construction & Building Technology
Nestor Pereira, Manel Martinez-Ramon
Summary: This paper presents a probabilistic modeling approach for simulating residential energy usage at a disaggregated level. Parametric probability distributions are used to model appliance power and human behavior variables, which are adjusted based on known data. The simulation also incorporates self-generated photovoltaic energy and electric vehicle usage. The models obtained from this approach can be used in residential disaggregated simulations, allowing for individual appliances to vary across houses. The probabilistic distributions can provide prior knowledge for energy management systems, risk management, and grid failure prediction, and can be adapted based on real-time changes in house behavior and appliance usage.
ENERGY AND BUILDINGS
(2023)
Article
Energy & Fuels
Sarah Henni, Michael Schaeffer, Peter Fischer, Christof Weinhardt, Philipp Staudt
Summary: We propose a bottom-up modeling framework to integrate decentralized and centralized planning in an energy system with high renewable generation. Considering the distribution network structure and changing local consumption, we analyze the pathways between cost-optimized system design and equitable spatial distribution of renewable generation and battery storage capacities. Our results show that central planning leads to lower electricity costs but intermediate pathways can achieve a more equitable inclusion of communities in the energy transition at reasonable cost increases. These findings are significant for policymakers and stakeholders, who need to address conflicts arising from centralized expansion targets.
Article
Chemistry, Multidisciplinary
H. Hou, L. Cardo, J. P. Merino, F. Xu, C. Wetzl, B. Arnaiz, X. Luan, Y. Mai, A. Criado, M. Prato
Summary: This work discusses the potential use of bottom-up synthesized graphene nanoribbons (GNRs) as nano-carriers for drug delivery systems (DDSs). The GNRs have a high loading capacity for anticancer drugs due to their high specific surface area and non-covalent adsorption with hydrophobic anticancer drug molecules. The authors synthesized GNRs modified with PEG2000 and PEG2000 carrying folic acid chains, loaded with camptothecin (CPT), and evaluated their targeting ability and cytotoxicity.
MATERIALS TODAY CHEMISTRY
(2023)
Article
Environmental Studies
Ryan Burns, Preston Welker
Summary: This study highlights the importance of interstitial actors in the field of smart cities and recognizes their significant influence. Community associations, non-profit organizations, and groups with different digital practices play a crucial role in envisioning, implementing, and contesting smartness in the urban context. These actors strategically move between different interstices and have a profound impact on smart cities, even through their absence.
Review
Biochemistry & Molecular Biology
Dongyu Li, Jingnan Wang, Chengming Liu, Yuejun Luo, Haiyan Xu, Yan Wang, Nan Sun, Jie He
Summary: The emergence of EGFR-TKIs has revolutionized the treatment of advanced-stage NSCLC, but resistance remains a major challenge that requires new treatment strategies.
Article
Crystallography
Danil W. Boukhvalov, Vladimir Yu. Osipov
Summary: This work presents the results of various scenarios in the initial stages of assembling carbon quantum dots (CQDs) from citric acid (CA) or o-phenylenediamine (OPD). Step-by-step simulations reveal that the assembly process of CQDs differs from previously proposed models. For instance, synthesizing CQDs from citric acid leads to the appearance of carbonyl (C=O) and carboxyl (-COOH) groups during the addition of carbon rings. On the other hand, manufacturing CQDs from OPD results in energetically favorable flat nanographenes, but also involves oxidation and the formation of C-OH bonds. Possible mechanisms for eliminating excessive carboxyl or hydroxyl groups are suggested.
Article
Chemistry, Multidisciplinary
Changyong Cai, Shuanggen Wu, Yunfei Zhang, Fenfang Li, Zhijian Tan, Shengyi Dong
Summary: This study introduces the concept of bottom-up assembly into 3D printing and achieves additive manufacturing on a macroscopic scale. By thermal activated polymerization of thioctic acid (TA), poly(TA) is constructed and exhibits time-dependent self-assembly. The study demonstrates that micro- and macroscopic bottom-up self-assembly can be applied in 3D additive manufacturing.
Article
Energy & Fuels
Yoshiyuki Shimoda, Minami Sugiyama, Ryuya Nishimoto, Takashi Momonoki
Summary: Research on decarbonization scenarios for achieving net zero greenhouse gas emissions in the Japanese residential sector by 2050 shows that decarbonization can be mostly achieved through the dissemination of highly insulated buildings and high-efficiency water heaters, as well as the installation of PV. Increasing PV capacity in detached houses is crucial for enhancing renewable energy supply.
Article
Green & Sustainable Science & Technology
D. Lerede, C. Bustreo, F. Gracceva, M. Saccone, L. Savoldi
Summary: This paper reviews the technological outlook in five industrial subsectors and builds a dataset containing technologies currently in use or announced for use in various macro-scale energy models, particularly focusing on the TIMES family. The dataset aims to showcase the level of sustainability each industrial sector can achieve in the long term.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Review
Chemistry, Physical
Jiho Min, Sourabh S. Chougule, Bathinapatla Sravani, Keonwoo Ko, Yunjin Kim, Namgee Jung
Summary: To achieve a zero-emission society in the future, researchers are conducting intensive research to commercialize fuel cells as an ideal solution for non-polluting electric vehicles and power plants. However, technical issues such as performance degradation, catalyst poisoning, and reverse current flow still need to be addressed. This review introduces the concept of the molecular sieve effect to overcome these challenges and discusses practical cases where the performance and durability of fuel cells have been improved through innovative catalyst design.
CURRENT OPINION IN ELECTROCHEMISTRY
(2023)
Article
Economics
Michael A. McNeil, Wei Feng, Stephane de la Rue du Can, Nina Zheng Khanna, Jing Ke, Nan Zhou
Article
Energy & Fuels
Nina Zheng Khanna, Nan Zhou, David Fridley, Jing Ke
Article
Thermodynamics
Jing Ke, Lynn Price, Michael McNeil, Nina Zheng Khanna, Nan Zhou
Article
Economics
Ali Hasanbeigi, Lynn Price, Cecilia Fino-Chen, Hongyou Lu, Jing Ke
Article
Economics
Nan Zhou, David Fridley, Nina Zheng Khanna, Jing Ke, Michael McNeil, Mark Levine
Article
Economics
Yue Zhao, Jing Ke, Chun Chun Ni, Michael McNeil, Nina Zheng Khanna, Nan Zhou, David Fridley, Qiqiang Li
Article
Green & Sustainable Science & Technology
Michael A. McNeil, Virginie E. Letschert, Stephane de la Rue du Can, Jing Ke
Correction
Green & Sustainable Science & Technology
Michael A. McNeil, Virginie E. Letschert, Stephane de la Rue du Can, Jing Ke
Article
Green & Sustainable Science & Technology
Nihar Shah, Nakul Sathaye, Amol Phadke, Virginie Letschert
Article
Green & Sustainable Science & Technology
Michael A. McNeil, Nihan Karali, Virginie Letschert
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2019)
Article
Green & Sustainable Science & Technology
Jing Ke, Helcio Blum
Summary: Groundwater is an important source of drinking and agricultural water, but over-reliance and overdraft in California have led to increased costs and decreased water supply reliability. Reductions in agricultural water in Central California and urban water in Southern California could mitigate groundwater extraction in these regions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Jing Ke, Nina Khanna, Nan Zhou
Summary: This study aims to explore the water-energy nexus and support integrated resource planning and management to achieve the United Nations' Sustainable Development Goals by analyzing China's energy-water data over the past 21 years. The analysis indicates that improving energy-water efficiency is critical for controlling the increase in energy and water use and achieving resource and environmental protection targets.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Stephane de la Rue du Can, Virginie Letschert, Shreya Agarwal, Won Young Park, Usamah Kaggwa
Summary: Energy efficiency can improve the affordability of energy access by reducing electricity costs for households and businesses. This paper provides a cost-benefit analysis and a national impact analysis for the implementation of an energy-efficiency standards and labeling program in Uganda, specifically for refrigeration products. The analysis demonstrates the economic savings for consumers and the nation, including reduced energy bills and potential cumulative savings for households and small businesses.
ENERGY FOR SUSTAINABLE DEVELOPMENT
(2022)
Article
Engineering, Environmental
Jonah Schein, Peter Chan, Yuting Chen, Camilla Dunham, Heidi Fuchs, Virginie Letschert, Michael McNeil, Moya Melody, Sarah Price, Hannah Stratton, Alison Williams
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.