Article
Thermodynamics
Ryohei Yokoyama, Kotaro Takeuchi, Yuji Shinano, Tetsuya Wakui
Summary: The hierarchical MILP method and model reduction by time aggregation are applied to multiobjective optimal design. Methods of clustering periods are compared for efficiency in design optimization, with k-medoids method proving effective for minimizing certain objective functions.
Article
Thermodynamics
Ryohei Yokoyama, Hiroki Kamada, Yuji Shinano, Tetsuya Wakui
Summary: A robust optimal design method using a hierarchical MILP approach is proposed in this paper, aiming to enhance the tolerance of energy supply systems to uncertainties by evaluating the robustness of performance criteria based on the minimax regret criterion.
Article
Green & Sustainable Science & Technology
Victor Hugo Lobo Correia, Renata Portela de Abreu, Monica Carvalho
Summary: This study optimized a polygeneration system for a dairy industry in Northeast Brazil using mixed-integer linear programming to minimize total annual costs. The optimal economic system yielded an annual cost 25% lower than the reference system, achieved by using diesel and natural gas cogeneration modules to substitute electricity from the grid at peak hours. Sensitivity analyses demonstrated the robustness of the optimal economic solution under fuel price variations.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Automation & Control Systems
Sabino Roselli, Fredrik Hagebring, Sarmad Riazi, Martin Fabian, Knut Akesson
Summary: Bin packing and bin covering are important optimization problems in many industrial fields, involving sorting items into bins based on target values while minimizing or maximizing the number of bins. These are combinatorial NP-hard problems that often require suboptimal solutions, although true optimal solutions can be desirable in some cases.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Mohammadamin Zarei, Haider Niaz, Rofice Dickson, Jun-Hyung Ryu, J. Jay Liu
Summary: A model was developed to produce biofuels from multiple biomass sources, which showed that using multiple feedstocks can reduce total costs, meet demand, lower import costs, and a sensitivity analysis was conducted to assess uncertainty associated with some economic and production parameters.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2021)
Article
Chemistry, Physical
Ahmet Erdogan, Ebru Gecici, Mehmet Guray Guler
Summary: Hydrogen fuel cell vehicle (HFCV) technology is an important alternative to conventional fossil fuel vehicles in the transportation sector. However, the hydrogen supply chain (HSC) infrastructure poses a significant obstacle to their widespread use. This study proposes an HSC design for Turkey that minimizes cost, carbon emissions, and security risks. The problem is modeled using mixed integer linear programming (MILP), and five different optimization cases are studied.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Operations Research & Management Science
Jacek Gondzio, E. Alper Yildirim
Summary: This paper investigates how to reformulate a standard quadratic program as a mixed integer linear programming problem, proposing two alternative formulations. By utilizing binary variables and valid inequalities, the formulations significantly outperform other global solution approaches in extensive computational results.
JOURNAL OF GLOBAL OPTIMIZATION
(2021)
Article
Automation & Control Systems
Jiao Liu, Yong Wang, Bin Xin, Ling Wang
Summary: This article proposes a two-phase method based on biobjective optimization to address the issue of local convergence caused by integer restrictions in mixed-integer programming problems. By utilizing a measure function and removing integer restrictions, the MIP problem is transformed into a constrained biobjective optimization problem, leading to better solutions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Engineering, Industrial
Yiyong Xiao, Yue Zhang, Sadan Kulturel-Konak, Abdullah Konak, Yuchun Xu, Shenghan Zhou
Summary: This paper investigates the problem of aperiodic facility layout in dynamic manufacturing environments, decomposing it into a master problem and a set of static facility layout problems. With the use of mixed-integer linear programming models, solutions can be efficiently obtained for small-sized problems. Computational experiments show promising results for solving the AFLP and new best solutions were found for benchmark problems with the improved problem evolution algorithm.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Automation & Control Systems
Andrea Camisa, Giuseppe Notarstefano
Summary: This article discusses the distributed control of microgrids, taking into account the unpredictability of renewable energy sources. A distributed methodology based on neighboring communication is proposed and its effectiveness is verified through numerical experiments.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Bahriye Akay, Dervis Karaboga, Beyza Gorkemli, Ebubekir Kaya
Summary: This paper reviews the use of Artificial Bee Colony algorithm for solving discrete numeric optimization problems, discussing various encoding types, search operators and selection operators integrated into ABC. It is the first comprehensive survey study on this topic and aims to benefit readers interested in utilizing ABC for binary, integer and mixed integer discrete optimization problems.
APPLIED SOFT COMPUTING
(2021)
Article
Economics
Sebastian Birolini, Alexandre Jacquillat, Mattia Cattaneo, Antonio Pais Antunes
Summary: The ANPSD model optimizes airline network planning by considering interactions between supply and passenger demand. By estimating a demand model and developing a cutting plane algorithm, excellent computational results have been achieved, providing stronger solutions compared to traditional benchmarks.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Energy & Fuels
Yuntian Ge, Lin Li, Lingxiang Yun
Summary: Cellulosic biofuel is seen as a promising alternative to fossil fuels, but its commercialization has been hindered by high costs in the supply chain, particularly in manufacturing. This paper introduces a new model for optimizing the cellulosic biofuel supply chain, showcasing significant cost reductions and highlighting the importance of factors such as refinery construction cost and biofuel throughput in supply chain design.
Article
Multidisciplinary Sciences
Tomas Thorbjarnarson, Neil Yorke-Smith
Summary: Recent research has shown potential in optimizing certain aspects of neural networks (NNs) using Mixed Integer Programming (MIP) solvers. However, the approach of training NNs with MIP solvers has not been explored thoroughly. This article introduces new MIP models for training integer-valued neural networks (INNs) and provides two methods to improve the efficiency and data handling capabilities of MIP solvers. Experimental results demonstrate the superiority of our approach in terms of accuracy, training time, and data usage compared to previous state-of-the-art methods. Our methodology is particularly proficient at training NNs with minimal data and memory requirements, making it valuable for deployment on low-memory devices.
Article
Thermodynamics
Jan Richarz, Sarah Henn, Tanja Osterhage, Dirk Muller
Summary: Modernizing existing non-residential buildings can significantly reduce energy consumption in the European building stock and contribute to achieving emission reduction goals. The use of a mixed-integer linear program helps determine the optimal combination of modernization measures and their timing, with multi-objective optimization aimed at minimizing carbon emissions and net present value.
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.