Demonstration of a high throughput on-board hydrogen generation reactor system using aluminum coil as fuel for a vehicle

A novel on-board hydrogen generation concept using Al coil with NaOH was investigated. The reaction rate was successfully controlled by introducing a pumping system for the NaOH solution. The time for the flow to develop fully was mainly dependent on the solution temperature, and the fastest start time recorded was 60 sec at a solution temperature of 70°C. The maximum H₂ generation rate was 200 L min^–1 with a prototype design of the on-board hydrogen generation system 1/8 times the size of a full-size reactor. The H₂ generation process coupled with the solution pumping system was simulated with three-dimensional fluid dynamic software, and the calculated H₂ flow and temperature rise of the system were validated with experimental data.     

共基质下微生物燃料电池同步脱色甲基橙与产电性能

采用双室方形微生物燃料电池(MFC),以葡萄糖作为共基质,研究了共基质浓度对典型偶氮染料甲基橙在MFC阳极室中脱色效率及同步产电的影响。结果表明,在0~1.5 g/L浓度范围内,共基质浓度越大,甲基橙脱色率、COD去除率和最大输出电压越高。在共基质浓度为1.5 g/L,进水甲基橙为300 mg/L的条件下,8 h的脱色率高达95%,且在1 000Ω外电阻下,最大输出电压达到662 m V;在无共基质条件下,8 h内对300 mg/L甲基橙的脱色率仅为7.5%,最大输出电压仅达到140 m V。厌氧对照实验表明,甲基橙在MFC中可以实现加速脱色,反应8 h后甲基橙在MFC中的脱色率提高了57%。该研究为开发新型MFC降解偶氮染料废水技术提供了理论依据。     

生物质直接燃烧发电技术的探索

介绍了生物质直接燃烧发电技术原理及其设备的工作过程,着重讨论了生物质锅炉燃烧过程中的燃料收集和存储、送料堵塞以及受热面结焦等问题,并提出了优化运行和提高锅炉效率的改进措施。     

流动人口居留意愿的梯度变动与影响机制

随着城乡利益格局的变化,新生代流动人口的居留意愿呈现出新的特征,其变动与城市类型密切相关。利用调查数据进行分析,发现新生代流动人口的居留意愿表现出随流入地的城市类型而梯度变动的特征,即呈现出在大城市的居留意愿强,中小城市的流动性强和特大城市的返乡意愿强的特征,大城市是新生代流动人口实现留城理想与个人发展最佳的平台。但是总的来说,新生代流动人口的流动行为与第一代流动人口同中存异,没有出现根本性的改变。利用多层模型,对新生代流动人口居留意愿的影响机制进行了实证分析,发现城市类型、经济收入、社会融入与身份认同、家庭迁居、户籍可获得性是影响居留意愿的重要因素。此外,户籍可获得性与新生代流动人口身份认同交互作用显著的影响了新生代流动人口的居留意愿,并进一步增强了居留意愿在不同城市类型的差异。这体现出户籍制度对流动者的影响逐步由早期的福利隔绝向心理隔绝转变。对不同城市类型新生代流动人口居留意愿的差异进行量化分析发现,特大城市和大城市流动者的居留意愿呈现刚性,而超大城市和中小城市流动者居留意愿具有弹性。根据上述分析提出政策建议:将大城市作为吸纳流动人口的主导区域构建城市发展规划策略,发挥特大城市和大城市的集聚效应,促进区域的产业发展;在城市社区建设和城市文明建设方面,为流动人口与城市居民的相互融合提供政策支持;依托政府、社会组织与学校,提升新生代流动人口的人力资本。     

Triple-objective optimal sizing based on dynamic strategy for an islanded hybrid energy microgrid

A triple-objective optimal sizing method based on a dynamic strategy is presented for an islanded hybrid energy microgrid, consisting of wind turbine, solar photovoltaic, battery energy storage system and diesel generator. The dynamic strategy is given based on a dynamic complementary coordination between two different master-slave control modes for maximum renewable energy utilization. Combined with the proposed strategy, NSGA-II-based optimization program is applied to the sizing optimization problem with triple different objectives including the minimization of annualized system cost, the minimization of loss of power supply probability and the maximization of utilization ratio of renewable energy generation. The sizing results and the proposed strategy are both compared and analyzed to validate the proposed method in a real case of an islanded hybrid energy microgrid on Dong’ao Island, China.     

Toward knowledge structuring of sustainability science based on ontology engineering

In sustainability science (SS), it is difficult to identify what needs to be solved, and it is also not clear how to solve the problems that are identified. There has been no consensus on the underlying question of “What is structuring knowledge in SS?” This paper focuses on knowledge structuring accompanied by supporting of thinking. It addresses the key challenges associated with knowledge structuring in SS, identifies the requirements for the structuring of knowledge, proposes a reference model, and develops an ontology-based mapping tool as a solution to one layer of the reference model. First, we identify the important requirements for SS knowledge structuring. Second, we develop a reference model composed of five layers based on three of the requirements. Third, we develop an ontology-based mapping tool at Layer 2 of the reference model for meeting the two major challenges for SS, namely, identifying what problems should be addressed in SS itself and proposing solutions for those problems. The tool is designed to store and retrieve information regarding SS, to provide access to a prototype ontology for SS, and to create multiple maps of conceptual chains depending on a user’s interests and perspectives. Finally, we assess whether the developed tool successfully realizes the targeted part of the reference model for SS by examining the tool’s conformity to the reference model, as well as its usability, effectiveness, and constraints. Although several issues were identified in the prototype ontology and the mapping tool, the study concluded that the mapping tool is useful enough to facilitate the function of Layer 2. In particular, the mapping tool can support thinking about SS from the viewpoint of: (a) finding new potentials and risks of technological countermeasures studied in SS; (b) helping users to get a more comprehensive picture of problems and their potential solutions; and (c) providing an effective opportunity to come up with new ideas that might not be thought of without such a tool.     

垃圾填埋气收集利用研究进展

城市生活垃圾填埋过程中伴随产生大量填埋气,造成的环境影响不容忽视,填埋气中的CH4具有很高热值,是可利用的再生能源.对我国垃圾填埋气的特点、常见收集方式、焚烧发电利用现状进行了综述和分析,并探讨了未来的发展方向.     

城市生活垃圾与生物质混烧发电技术的实验研究

城市生活垃圾的焚烧发电和生物质能的利用是目前倍受关注的两个研究领域.以华北某垃圾发电厂为依托,对城市生活垃圾与生物质混烧发电技术进行了广泛的实验研究.结果表明:掺烧质量百分比为14%时,垃圾发电机组的效率达到最佳;混烧后烟气中的颗粒物浓度和二恶英浓度有很大的降低,SO2和NOx等酸性气体的浓度略有增加,但仍满足排放要求;单炉直接经济效益711.15元/h.该研究成果对今后垃圾发电厂的运营和生物质能的利用具有一定的工程参考价值.     

系统动力学方法在城市生活垃圾产生系统的应用

准确预测城市生活垃圾产生量是构建与运行生活垃圾管理系统的首要条件. 我国大部分城市生活垃圾的历史统计数据稀缺,传统预测方法往往难以得到要求精度的预测结果. 在系统地分析生活垃圾产生量影响因素及因素间互动关系的基础上,建立了基于VENSIM软件的系统动力学模型,并将该模型应用于深圳市城市生活垃圾产生系统. 结果表明:运用系统动力学方法可以较好地进行城市生活垃圾产生量预测,解决了数据稀缺条件下城市生活垃圾产生量的精确预测问题,为处理处置工艺的选择和规模的确定提供了数据支撑,同时可以在垃圾产生量预测的基础上进行不同政策下系统的行为模拟.      

变压吸附技术在环境工程中的应用

变压吸附技术具有能耗低、投资少、流程简单、操作方便、可靠性好和自动化程度高等优点,在环境工程领域得到了广泛的应用。介绍了变压吸附技术在废水处理、废气处理、固体废弃物处理等领域的研究进展和应用成果,探讨了在环境工程中应用变压吸附技术的发展方向。