Article
Environmental Sciences
Fan Fei, Zongguo Wen, Sang Ri
Summary: Urban biowaste management is a significant issue that requires minimizing pollution, maximizing resource utilization, and achieving economic feasibility. By constructing an integrated model, urban biowaste management system design and policy formation can be supported, and comprehensive technology solutions and policy suggestions can be provided.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Computer Science, Artificial Intelligence
Jixiang Chen, Fu Luo, Genghui Li, Zhenkun Wang
Summary: This paper proposes a batch Bayesian optimization method (BBO-ABAFMo) with adaptive batch acquisition functions via multi-objective optimization. The experimental results show the advantages of the proposed BBO-ABAFMo over some state-of-the-art methods.
SWARM AND EVOLUTIONARY COMPUTATION
(2023)
Article
Economics
Cheng Cheng, Jia-Wei Lu, Rui Zhu, Zuopeng Xiao, Alysson M. Costa, Russell G. Thompson
Summary: This study proposes a mixed-integer programming model for post-disaster waste clean-up systems, taking into account multiple stakeholders and objectives. Numerical results confirm the conflicting nature of the objectives considered and highlight the importance of explicitly considering each goal to find the best trade-off solutions.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Green & Sustainable Science & Technology
Leyi Yao, Zeyuan Liu, Weiguang Chang, Qiang Yang
Summary: This paper proposes a multi-level optimization model for real-time optimal operation of integrated energy systems (IES) with renewable energy systems (RES), energy storage systems (ESS) and carbon capture systems (CCS). Uncertainty is quantified using the Conditional Value at Risk (CVaR) theory and reduced through a model predictive control (MPC)-based method. A multi-objective optimization model is adopted to minimize economic cost, carbon dioxide emissions (CDE) and primary energy consumption (PEC) for optimal energy scheduling. Results show that the proposed solution provides a trade-off between economical and environmental performance.
Article
Construction & Building Technology
Xiaolin Liang, Ling Ji, Yulei Xie, Guohe Huang
Summary: This study focuses on multi-objective optimization problems in waste management, considering economic-environmental-energy (3E) objectives. A novel programming model was developed to assist optimal decision-making, taking into account system profit, greenhouse gas emission, and energy recovery. The case study verified the optimal waste treatment facility planning and waste stream allocation strategies.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Environmental Studies
Pankaj Gupta, Mukesh Kumar Mehlawat, Usha Aggarwal, V. Charles
Summary: An integrated multi-objective optimization model is proposed in this paper for sustainable transportation in the coal mining industry, utilizing AHP and DEA techniques for weight estimation and efficiency score calculation. By reducing dependency on carbon based fuels, the model leads to a decrease in greenhouse gas emissions. A fuzzy interactive optimization approach is used to determine the optimal transportation solutions.
Article
Computer Science, Artificial Intelligence
Jianfeng Qiu, Xiaoshu Xiang, Chao Wang, Xingyi Zhang
Summary: This paper introduces a new multi-objective chemical reaction optimization algorithm for feature selection, which utilizes the preference information related to the problem to guide the population evolution, aiming to enhance both convergence and diversity of the population. Experimental results demonstrate the superiority of the proposed algorithm over seven existing FS algorithms on 12 benchmark data sets.
APPLIED SOFT COMPUTING
(2021)
Article
Thermodynamics
Hong Shi, Meinan Liu, Yonghao Li, Shuheng Wang, Chenghui Qiu, Mengmeng Cheng, Jie Yuan, Kaijie Yang, Chuanzhi Kang
Summary: This paper proposes a BTMS system that integrates air cooling channels, fins, and phase change materials to improve the thermal performance of the battery. The entropy weight-TOPSIS method is used to analyze the balance between temperature uniformity and lightness of the system, and the results show that increasing the PCM thickness and fin height leads to increased weight and liquid fraction, respectively.
APPLIED THERMAL ENGINEERING
(2023)
Article
Computer Science, Information Systems
Hongyan Wang, Hua Xu, Yuan Yuan, Zeqiu Zhang
Summary: This paper introduces Adaptive Batch-ParEGO, an adaptive batch Bayesian optimization method for expensive multi-objective problems. It extends the classical sequential ParEGO method to the batch mode, utilizing a bi-objective acquisition function and an adaptive solution selection criterion to balance exploration and exploitation.
INFORMATION SCIENCES
(2022)
Article
Construction & Building Technology
Dina A. Saad, Mohamed Masoud, Hesham Osman
Summary: A new lean-driven Pull-Batch-based Repetitive Scheduling (PBRS) technique was developed to reduce WIP, time, and cost, utilizing batch- and pull-production lean concepts. It has a built-in multi-objective optimization algorithm and was proven superior in performance through a real case study.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Energy & Fuels
Ali Ghaseminejad, Ebrahim Hajidavalloo, Aziz Azimi
Summary: In this article, the integration and optimization plan of the liquid air energy storage system with the gas turbine cycle is proposed and analyzed. The efficiency of the LAES system can increase up to 83% by using the hot gases from the gas turbine exhaust to heat the inlet air. In addition, the cooling energy of the liquid air is utilized to cool the air entering the gas turbines. The optimal capacity of the liquid air storage system is calculated to be about 11 MW based on technical and economic analysis.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Chemical
Yi Wu, Haotian Ye, Hong-guang Dong
Summary: This paper proposes a multi-objective optimization framework to achieve safer operation and equipment parameters in batch chemical reactor design while balancing economic and safety considerations.
CHEMICAL ENGINEERING SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Xiaohui Yang, Xiaopeng Wang, Yeheng Deng, Linghao Mei, Fuwei Deng, Zhonglian Zhang
Summary: This paper proposes a scheduling model based on non-complete interval multi-objective fuzzy optimization for the integrated energy system (IES). The model takes into account uncertainties and aims to improve the efficiency and reduce the external impacts of IES. Simulation results demonstrate the effectiveness of the proposed model in improving the economy, environmental protection, reliability, and renewable energy consumption rate of IES.
Article
Engineering, Civil
Shuang Wang, Dengfeng Wang
Summary: The chassis frame design of electric vehicles involves multi-objective optimization and multi-parameter problems, studying the contributions of design variables and their effects on performance indicators to obtain optimal design variables. An integrated approach based on lightweight and crashworthiness is used to determine the optimal solution, with experiments confirming the effectiveness of the optimized strategy and significant improvement in performance.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Guangdong Tian, Amir M. Fathollahi-Fard, Yaping Ren, Zhiwu Li, Xingyu Jiang
Summary: This study proposes a new multi-objective scheduling model and utilizes a modified discrete gravitational search algorithm to solve the complex scheduling problem in forest fire emergency rescue. Through simulation in Heilongjiang Province and comparison with other algorithms, the accuracy and efficiency of the proposed method are demonstrated.
INFORMATION SCIENCES
(2022)
Article
Engineering, Chemical
Alireza Banimostafa, Stavros Papadokonstantakis, Konrad Hungerbuehler
Article
Computer Science, Interdisciplinary Applications
Lukas Eberle, Hirokazu Sugiyama, Stavros Papadokonstantakis, Andreas Graser, Rainer Schmidt, Konrad Hungerbuehler
COMPUTERS & CHEMICAL ENGINEERING
(2016)
Article
Chemistry, Multidisciplinary
Merten Morales, Meric Ataman, Sara Badr, Sven Linster, Ioannis Kourlimpinis, Stavros Papadokonstantakis, Vassily Hatzimanikatis, Konrad Hungerbuhler
ENERGY & ENVIRONMENTAL SCIENCE
(2016)
Article
Chemistry, Multidisciplinary
P. Limleamthong, M. Gonzalez-Miquel, S. Papadokonstantakis, A. I. Papadopoulos, P. Seferlis, G. Guillen-Gosalbez
Article
Chemistry, Multidisciplinary
Giacomo M. Lari, Cecilia Mondelli, Stavros Papadokonstantakis, Merten Morales, Konrad Hungerbuhler, Javier Perez-Ramirez
REACTION CHEMISTRY & ENGINEERING
(2016)
Article
Green & Sustainable Science & Technology
Sara Badr, Jerome Frutiger, Konrad Hungerbuehler, Stavros Papadokonstantakis
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2017)
Article
Chemistry, Multidisciplinary
Giacomo M. Lari, Giorgio Pastore, Moritz Haus, Yiyu Ding, Stavros Papadokonstantakis, Cecilia Mondelli, Javier Perez-Ramirez
ENERGY & ENVIRONMENTAL SCIENCE
(2018)
Article
Chemistry, Multidisciplinary
Cecilia Pereira, Ines Hauner, Konrad Hungerbuhler, Stavros Papadokonstantakis
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2018)
Article
Chemistry, Multidisciplinary
Sebastiano C. D'Angelo, Agostino Dall'Ara, Cecilia Mondelli, Javier Perez-Ramirez, Stavros Papadokonstantakis
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2018)
Article
Energy & Fuels
Elin Svensson, Matteo Morandin, Simon Harvey, Stavros Papadokonstantakis
Article
Energy & Fuels
Guillermo Martinez Castilla, Diana Carolina Guio-Perez, Stavros Papadokonstantakis, David Pallares, Filip Johnsson
Summary: The paper evaluates the industrial-scale calcium looping (CaL) process, which can provide CO2 capture services and sell dispatchable electricity, while also realizing thermochemical energy storage (TCES) function.
Article
Engineering, Chemical
Pantelis Baxevanidis, Stavros Papadokonstantakis, Antonis Kokossis, Effie Marcoulaki
Summary: This study develops models for estimating life cycle assessment indices of organic chemicals using the group contribution approach, correlating LCA indices with molecular composition and considering other properties for the design of environmentally benign liquid-liquid extraction solvents.
Article
Green & Sustainable Science & Technology
Johan M. Ahlstrom, Viktor Walter, Lisa Goransson, Stavros Papadokonstantakis
Summary: In this study, the role of biomass gasification for producing advanced biofuels in managing variability in the electricity system is investigated. The concept of CCU/power-to-gas is proposed to enhance methane production, with the ability to store unused CO2 through a BECCS concept for negative GHG emissions. The results demonstrate the advantages of flexible operation between CCU and BECCS, and the economic benefits of investing in gasification at the examined levels of CO2 charge. The gasification option also stimulates increased investments in renewable electricity generation through its value for low-priced electricity.
Article
Chemistry, Medicinal
Gulnara Shavalieva, Stavros Papadokonstantakis, Gregory Peters
Summary: This study explores the opportunity of semi-automated knowledge extraction from scientific papers and applies it to predictive modeling in the field of acute aquatic toxicity. The findings demonstrate the usefulness of knowledge collection and classification procedures in various aspects of model and predictor selection, addressing data gaps, and evaluating model performance.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2022)
Article
Chemistry, Physical
Athanasios I. Papadopoulos, Sara Badr, Alexandros Chremos, Esther Forte, Theodoros Zarogiannis, Panos Seferlis, Stavros Papadokonstantakis, Amparo Galindo, George Jackson, Claire S. Adjiman
MOLECULAR SYSTEMS DESIGN & ENGINEERING
(2016)
