Article
Engineering, Multidisciplinary
Jingye Tan, Danial Faghihi
Summary: This paper presents a scalable computational framework for optimal design in the presence of high-dimensional uncertainty, specifically for thermal insulation components. The framework incorporates risk aversion and regularization techniques to promote sparsity in the design parameters. By utilizing a second-order Taylor approximation and exploiting the low-rank structure of the preconditioned Hessian, the computational costs remain independent of the number of uncertain parameters.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Engineering, Industrial
Amir Hossein Barahimi, Alireza Eydi, Abdolah Aghaie
Summary: The research addresses the issue of increasing the link capacity in a dual-mode public transport network within urban infrastructure. By developing a mathematical model and using the PSO algorithm to solve the multi-objective bi-level model, the study was applied to a part of the urban transportation network in Tehran, Iran.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Polymer Science
Conal Thie, Sean Quallen, Ahmed Ibrahim, Tao Xing, Brian Johnson
Summary: Energy consumption in buildings is expected to increase, and one potential way to reduce it is by using silica aerogels as a thermal insulator. To study their benefits, simulations were performed on a model of a residential house using ANSYS FLUENT 2019 R2. The results showed that using aerogels in walls and windows could lead to significant energy savings.
Article
Mechanics
Parviz Mohammad Zadeh, Mostafa Mohagheghi
Summary: This paper presents an efficient multi-objective reliability-based design optimization method for composite structures, utilizing a hybrid decomposing-based algorithm and bi-level modeling strategy with both reliability and weight as objective functions. Demonstrated using laminated composite plate and benchmark problems, the proposed method shows computational efficiency and accuracy in evaluating the design performance of composite structures.
COMPOSITE STRUCTURES
(2022)
Article
Energy & Fuels
Tengyao Jiang, Xinpeng Zhao, Xiaobo Yin, Ronggui Yang, Gang Tan
Summary: A thermo-responsive hydrogel-based smart window component with an integrated IR-reflective coating was designed in this study, showing superior performance in hot weather and high solar radiation environments. Energy simulations on a prototype commercial building indicated up to 8.1% annual space cooling energy savings, equivalent to 30.6 kWh/yr.m(2) cooling energy savings per square meter of window glass, for Tucson, AZ, USA.
Article
Computer Science, Information Systems
Yang Yang, Zhao Luo, Xingyu Yuan, Xin Lv, Hongzhi Liu, Yigu Zhen, Jiaquan Yang, Jinghui Wang
Summary: The integrated energy system couples various energy sources and plays a crucial role in renewable energy consumption. The proposed bi-level optimal design method considers economic and carbon emissions aspects, optimizing the selection and capacity allocation of renewable energy equipment. The model effectively balances system economy and environmental protection performance.
Article
Energy & Fuels
Carlos Ramirez-Ruiz, Carlos Felipe Valencia, Sergio Cabrales, Andres Felipe Ramirez
Summary: This paper presents a bi-objective optimization methodology for designing desalination systems powered by renewable energy sources. The methodology was applied in the Guajira Peninsula, Colombia, to evaluate different renewable energy configurations and determine the optimal combination of components. The results show that renewable systems are feasible, achieving high reliability levels and lower cost compared to fossil fuel configurations. The study also found that battery banks and water tanks play different roles in energy storage for different systems.
Article
Operations Research & Management Science
Jose-Fernando Camacho-Vallejo, Lilian Lopez-Vera, Alice E. Smith, Jose-Luis Gonzalez-Velarde
Summary: This paper addresses a supply chain situation involving a distributor and a manufacturer, aiming to maximize distribution profits and reduce CO2 emissions. A nested bi-objective tabu search algorithm is proposed to obtain optimal solutions for the distributor's objectives. By simultaneously considering both goals of the distributor, the algorithm provides good alternatives for decision-making and managerial insights.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Construction & Building Technology
Zhaoyun Zeng, Jianli Chen, Godfried Augenbroe
Summary: This paper explores the application potential of movable window insulation in building energy consumption, proposing an automatic control system and manual control rule. By comparing different window insulation methods through building energy simulation, the study highlights the impact of infiltration on the performance of movable insulation and the varying effectiveness of triple-glazed and electrochromic windows in reducing heating and cooling energy.
ENERGY AND BUILDINGS
(2021)
Article
Computer Science, Interdisciplinary Applications
Md. Sanowar Hossain, Ripon K. Chakrabortty, Sondoss El Sawah, Michael J. Ryan
Summary: Incorporating interface modularity into the traditional structural-functional modular-based product family architecture is crucial for efficient assembly configuration. The traditional structural-functional modularity only ensures technical system modularity, leading to high redesign cost. However, it overlooks the impact of modularity on the assembly configuration.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Thermodynamics
Zhaoyun Zeng, Godfried Augenbroe, Jianli Chen
Summary: The application of adaptive building envelope (ABE) is crucial for energy conservation and carbon emissions reduction. This study proposes a bi-level optimization approach to optimize the design and control of ABE systems. By using a finite-difference (FD) model written in MATLAB, this research demonstrates the possibility of reducing execution time and modeling various ABE systems that are not supported by packaged building energy simulation programs. The optimization of a ventilated facade is used as an example to showcase the impact of design parameters and the effectiveness of model predictive control (MPC) in reducing energy costs.
Article
Computer Science, Interdisciplinary Applications
Ayazhan Akhmet, Warren Hare, Yves Lucet
Summary: This manuscript introduces a bi-objective optimization model for finding optimal road profiles that minimize construction cost and vehicle operating cost, particularly fuel consumption. Various methods, including classical scalarization techniques and evolutionary methods, are implemented and evaluated. The research concludes that the epsilon-constraint method with a warm start strategy shows the most promise for the proposed problem.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Qi Wang, Yankui Liu, Huili Pei
Summary: Post-disaster humanitarian relief logistics is challenging due to the hierarchical decision relationship and uncertainties. A globalized robust bi-level multi-objective model is developed to manage supply and shipment of relief items, considering uncertainties in transportation time, cost, and demand. The proposed model employs goal programming approach to trade off conflicting objectives and transforms the bi-level models into equivalent mixed-integer conic programs using the primal-dual approach.
ENGINEERING OPTIMIZATION
(2023)
Article
Construction & Building Technology
Lihua He, Lin Zhang
Summary: This paper proposes a bi-objective integer programming optimization model to minimize energy consumption and investment costs. The results show that the model effectively reduces building energy consumption and investment costs in the design stage. The comparison with other algorithms proves that the proposed method has good search and optimization capabilities. This study provides a quantitative reference standard for public building designers in the design phase, coordinating economic and energy-efficiency optimization.
ENERGY AND BUILDINGS
(2022)
Article
Engineering, Electrical & Electronic
Shouxiang Wang, Yichao Dong, Qianyu Zhao, Xu Zhang
Summary: In this paper, a novel multi-objective joint planning model is proposed using interval arithmetic and affine arithmetic to handle uncertainties in distribution systems. A solution methodology based on affine arithmetic and a deviation distance based modification method are introduced to improve the solution qualities. The advantages of the proposed method are verified through case studies and sensitivity analysis.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2022)
Article
Energy & Fuels
Fabio Favoino, Francesco Fiorito, Alessandro Cannavale, Gianluca Ranzi, Mauro Overend
Review
Construction & Building Technology
Roel C. G. M. Loonen, Fabio Favoino, Jan L. M. Hensen, Mauro Overend
JOURNAL OF BUILDING PERFORMANCE SIMULATION
(2017)
Article
Thermodynamics
Qian Jin, Fabio Favoino, Mauro Overend
Article
Energy & Fuels
Luigi Giovannini, Fabio Favoino, Anna Pellegrino, Valerio Roberto Maria Lo Verso, Valentina Serra, Michele Zinzi
Article
Construction & Building Technology
Luigi Giovannini, Fabio Favoino, Valerio Roberto Maria Lo Verso, Valentina Serra, Anna Pellegrino
BUILDING AND ENVIRONMENT
(2020)
Article
Construction & Building Technology
Ellika Taveres-Cachat, Fabio Favoino, Roel Loonen, Francesco Goia
Summary: ABEs are innovative systems integrating architecture, engineering, and data science to enhance building sustainability. Their development relies on building performance simulation tools, but complexity can hinder real-world implementation, making co-simulation a promising alternative for overcoming barriers and improving performance assessments. Ongoing trends in BPS and ICT are transforming the field, creating new opportunities for modelers in research and industry.
BUILDING AND ENVIRONMENT
(2021)
Article
Chemistry, Physical
Ainhoa Cots, Stefano Dicorato, Luigi Giovannini, Fabio Favoino, Michele Manca
Summary: Dual band electrochromic windows offer selective spectral control of incoming solar radiation in buildings, efficiently responding to lighting, heating, and cooling needs. Advancements in manufacturing and performance have led to the development of large smart window prototypes and the potential for reducing energy consumption and enhancing comfort in architectural glass systems.
Article
Construction & Building Technology
Miren Juaristi, Fabio Favoino, Tomas Gomez-Acebo, Aurora Monge-Barrio
Summary: The paper evaluates the promising design solutions of Adaptive opaque facades (AOF) for residential building use in six different climates through dynamic simulations. It quantifies the impact of various adaptation strategies on reducing thermal energy use, with the heat transfer by means of Adaptive Insulation components showing the most significant impact. The results also emphasize the importance of actively controlling and combining different adaptation strategies for optimal energy efficiency.
JOURNAL OF BUILDING PHYSICS
(2022)
Article
Construction & Building Technology
Aleksandar Jankovic, Giovanni Gennaro, Gaurav Chaudhary, Francesco Goia, Fabio Favoino
Summary: This paper presents the airflow characterization in the cavity of a double-skin facade through various methods and compares the results of two tracer gas methods with the velocity traverse method. By discussing the challenges, applicability, and limitations of these methods, the paper aims to contribute to a more grounded understanding of the suitability of tracer gas methods for in-field characterization of airflows in facades.
BUILDING AND ENVIRONMENT
(2022)
Review
Energy & Fuels
Michalis Michael, Fabio Favoino, Qian Jin, Alessandra Luna-Navarro, Mauro Overend
Summary: High-performance glazing technologies are crucial for achieving occupant comfort and energy efficiency in buildings. However, there is a lack of systematic review and classification of glazing technologies in the literature. This study provides a comprehensive review and classification of established and emerging glazing technologies, revealing the dominance of multi-layer configurations and the potential for improvement through the integration of other technologies or materials.
Article
Construction & Building Technology
Fabio Favoino, Enrica Raheli, Daniele Ramirez, Francesco Pilosio, Saverio Tavernese, Marco Simonetti, Marco Perino, Marco Masoero
GLASS STRUCTURES & ENGINEERING
(2020)
Proceedings Paper
Energy & Fuels
Luigi Giovannini, Fabio Favoino, Valentina Serra, Michele Zinzi
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Luigi Giovannini, Valentina Serra, Valerio R. M. Lo Verso, Anna Pellegrino, Michele Zinzi, Fabio Favoino
2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)
(2018)
Article
Construction & Building Technology
Luigi Giovannini, Fabio Favoino, Valerio R. M. Verso, Anna Pellegrino, Valentina Serra
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.
