基地研究员乔晓拓老师合作论文"A metaheuristic Multi-Objective optimization of energy and environmental performances of a Waste-to-Energy system based on waste gasification using particle swarm optimization"在Energy Conversion and Management公开发表。ECM为发表原创贡献和全面技术评审文章提供了一个论坛，涵盖所有重要能源主题的跨学科和原创研究，主题包括：能源的生成、利用、转换、存储、传输、节约、管理和可持续性。

摘要：Studies focusing on the optimization of waste-to-energy systems using metaheuristic particle swarm optimization (PSO) are crucial in our pursuit of sustainable and renewable energy sources. The advancements made in this field have the potential to revolutionize waste management practices and reduce carbon footprint. This study investigates the application of metaheuristic PSO technique for enhancement of energetic and environmental performances of a waste-to-energy system including a waste gasification reactor and a solid oxide fuel cell conducting proton to produce heat and power. The methodology involves the creation of regression-based machine learning models, followed by the generation of various near-optimal solutions on the Pareto front through the use of the metaheuristic PSO. The effectiveness of these solutions is then thoroughly evaluated in terms of power output, heat production, and emissions. Subsequently, these near-optimal solutions are assessed and ordered through a multi-criteria decision-making process to identify the most favorable condition. The highest level of performance produced a heating rate of 1069.9 g/s, a power output of 365.5 kW, and an emission rate of 804.5 kg/MWs. This particular operating point had a steam to waste ratio of 1.315, an ideal temperature of 1200 K, a current density of 5000 A/m2, and a utilization factor of 0.76. The use of metaheuristic optimization techniques can help identify the optimal operating conditions in waste-to-energy systems with a bright outlook that maximize energy production while minimizing environmental impact.

关键词：Waste-to-energy; Metaheuristic optimization; Particle swarm optimization; Gasification; Machine learning

论文链接：https://doi.org/10.1016/j.enconman.2024.118844

教师简介

乔晓拓，哈尔滨工业大学国际经济与贸易经济学学士，金融学、管理学硕士、金融学博士，得克萨斯大学达拉斯分校金融学联合培养博士。读博期间参与多项国家自然科学基金青年项目、国家重点研发计划项目。2021年博士毕业后进入中南财经政法大学担任金融学院讲师。