VECTOR | [3-0-0:3] |
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DESCRIPTION | This course aims to introduce techniques for the architecture design, optimization modelling and the economic evaluation of industrial processes and energy systems and to develop the skills required to identify the opportunity and implement optimization-based decision support tools in energy processes and systems. It covers the problem statement, modeling of processes and systems, solving methods for the simulation and the single and multi-objective optimization strategies. Topics cover process systems engineering, process and system modelling and simulation, economic evaluation, optimization strategies, and data reconciliation. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6241) | Tu 03:00PM - 05:50PM | Rm 202, W1 | XIAO, Dianxun | 20 | 10 | 10 | 0 |
VECTOR | [3-0-0:3] |
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PREVIOUS CODE | SEEN 6000F |
DESCRIPTION | The course will discuss kinetic energy harvesting devices and systems, including: Principles of energy harvesting from wind, wave, water flow, vibration, and human motion; Architectures and design; Mechanism, electromechanical modeling and analysis of electromagnetic, piezoelectric, triboelectric, electrostatic generators; Lab experiments; Wind turbines and fluid-structure interaction; Fundamentals of vibration; Control and power conditioning circuits; Performance evaluation and optimization; Potential applications and sensing. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6242) | Tu 01:30PM - 04:20PM | Rm 105, W3 | ZI, Yunlong | 20 | 7 | 13 | 0 |
VECTOR | [3-0-0:3] |
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PREVIOUS CODE | SEEN 6000E |
DESCRIPTION | From the view of integration and digitalization, this course aims to paint a picture of what could happen next in industrial development. It will integrate digital technology and power electronics technology to develop energy digitization and promote the energy revolution. Specifically, this course introduces the evolution from industry 1.0 to 5.0, solar power and storage system, data center and AI server power supply, intelligent and electrified transportation, smart charging network and policy, etc. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6243) | We 09:00AM - 11:50AM | Rm 201, W1 | HAN, Wei | 20 | 19 | 1 | 0 |
VECTOR | [3-0-0:3] |
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PREVIOUS CODE | SEEN 6000K |
DESCRIPTION | This course provides a comprehensive overview of the technologies and strategies involved in capturing and converting carbon dioxide (CO₂) from industrial processes and the atmosphere. Students will explore the science behind carbon capture methods and emerging technologies for converting CO₂ into valuable products. The course also covers the economic, environmental, and policy considerations driving the development and deployment of carbon capture and conversion systems. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6247) | Mo 01:30PM - 04:20PM | Rm 201, W4 | ZHOU, Teng | 30 | 12 | 18 | 0 |
VECTOR | [3-0-0:3] |
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PREVIOUS CODE | SEEN 6000C |
DESCRIPTION | Materials are critical for the developments of advanced energy systems, which play a pivotal role towards the sustainable, carbon-neutral future. This course will introduce the working principles of a few energy systems such as fossil fuel, renewable energies, batteries, and supercapacitors. Special focus will be placed on the material aspects of these energy systems through the interrelationships of composition, processing, structure, properties, and performance. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6248) | Mo 01:30PM - 04:20PM | Rm 201, W1 | HUANG, Jiaqiang | 20 | 10 | 10 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | Photovoltaic plays a critical role in harvesting solar energy and secures our future sustainable and carbon-neutral society. This course introduces the mainstream photovoltaic technologies specially focused on the ones based on inorganic materials. It covers the fundamental operation and design principles for inorganic photovoltaics, technological challenges, and applications. It also provides the students with the future technological trend and basic knowledge as well as visions in the research and development of inorganic materials based photovoltaic technologies. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6249) | Th 09:00AM - 11:50AM | Rm 202, E4 | YAN, Chang | 20 | 7 | 13 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | Human health and well-being are intimately linked to the state of air quality. As vividly shown by the COVID-19 outbreak, Indoor Air Quality (IAQ) has never been more important in terms of sustaining human health, well-being, and productivity. This course is a graduate level introduction to IAQ in a built environment. This course covers topics such as comprehensive reviews of contaminant concentrations, measurement techniques, exposures, and health effects, components and functions of building systems that affect IAQ, human responses to indoor environmental quality conditions. Students will also be introduced to new technologies such as computational fluid dynamics, big data analysis, advanced chemical analytical capability, sensing, control, and human biomarker analysis that have contributed greatly to modern indoor air science. Overall, students will be engaged with diverse disciplines including built environment, atmospheric environment, exposure science, public health, chemistry, and indoor air science. The field of indoor air science is moving forward rapidly, the students will be trained with an “eye to the future” to raise new questions, new possibilities, new angles to advance science for healthier indoor environments. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6251) | Tu 03:00PM - 05:50PM | Rm 122, E1 | FANG, Ting | 20 | 7 | 13 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course will describe the fundamental knowledge of the physical principles that govern the transport of momentum, energy and mass in energy system. We will start by introducing the constitutive equations of mass transfer, heat conduction and momentum transport and solve the conservation equations. We will then learn the more fundamental physical pictures of these transport phenomena. From this course, the students will acquire a clear physical picture of transport phenomena in energy systems and the ability to analyze them across different length scales. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6253) | Mo 01:30PM - 04:20PM | Rm 202, W1 | ZENG, Jian | 20 | 8 | 12 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | The industrial process of separating chemical mixtures into purer forms currently constitutes a significant 10-15% of the world's total energy consumption. Opting for purification methods that do not rely on heat holds the potential to substantially reduce global energy expenditure, emissions, and environmental pollution, while also forging novel pathways to essential resources. This course aims to introduce participants to cutting-edge separation technologies, with a particular focus on non-thermal techniques such as membrane separations. The initial segment will delineate the specific areas where membranes can be employed to conserve energy. Following that, the course will delve into the fundamental principles governing membrane separations and the pivotal design considerations for advancing membrane technology. Finally, the course will culminate in a comprehensive exploration of diverse applications of membranes, spanning industries like petrochemicals, battery manufacturing, and semiconductor fabrication, elucidating their respective operational mechanisms. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6256) | We 01:30PM - 04:20PM | Rm 201, W1 | ZHOU, Sheng | 20 | 5 | 15 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | Air pollution is the contamination of the indoor or outdoor environment by any chemical, physical or biological agent that modifies the natural characteristics of the atmosphere. It is the fourth-highest global risk for death, and it is closely linked to the earth’s climate and ecosystems. Effective control of air pollution requires a quantitative understanding of the composition and properties of air pollutants. In this course, we will learn how air pollutants can be measured. Major topics covered in this course include an overview of the composition and physical structure of the atmosphere, an introduction to the criteria and newly developed air pollutants and greenhouse gases, and a detailed discussion of air quality measurement techniques of gases and particulate matter. We will also learn novel measurement techniques such as remote sensing, mobile measurement, low-cost sensors, and the use of machine learning in air quality measurements. Examples with local relevance will be discussed. This course is intended for graduate students in the field of sustainable energy and environment, as well as students from other scientific disciplines. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6258) | We 01:30PM - 04:20PM | Rm 202, W1 | LIANG, Yutong | 20 | 5 | 15 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course introduces the numerical analysis and data structures to analyze and solve problems involving fluid flows. The following contents will be included. Euler and Navier-Stokes equations governing the flow of gas and liquids. Mathematical character of partial differential equations. Discretization approaches with a focus on the finite difference method. Explicit and implicit solution techniques and their numerical stability. Introduction to verification, validation, and uncertainty quantification for computational fluid dynamics predictions. Algorithms for solving the Navier Stokes and energy equations, turbulence modeling. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6260) | Tu 01:30PM - 04:20PM | Rm 201, W1 | FANG, Chao | 20 | 11 | 9 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | Machine learning (ML) has become one of the most useful and important tools in scientific research. This course provides the fundamentals and useful insight into where ML could have the greatest impact for the students dedicated to energy materials research. The lectures provide example methods for ML applied to experiments and simulations, covering the early stages of building an ML solution for a materials science problem, the issue of how to build more robust models, the use of ML to accelerate or augment simulations, how ML is applied to analyze and process experimental data, and how ML can be used in the discovery of new energy materials on computers. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6262) | Tu 01:30PM - 04:20PM | Maker Space W1-421H | LI, Yuheng | 20 | 13 | 7 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course explores the integration of digital technologies with renewable energy systems, focusing on smart solutions to optimize energy generation, storage, and consumption. Key topics include smart photovoltaics, electric vehicles, charging networks, data center energy management, embedded power systems, and digital platforms for energy optimization. Case studies, simulations, and hands-on projects are emphasized. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6265) | We 01:30PM - 04:20PM | Rm 105, E3 | LI, Xiangyu | 20 | 11 | 9 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | Energy nanomaterials are advanced materials designed at the nanoscale to improve the efficiency, performance, and sustainability of energy conversion technologies. This course will explore the principles and applications of nanomaterials in energy conversion, emphasizing their unique nanoscale properties. Topics covered include photovoltaics, light-emitting diodes, photodetectors, and optoelectronic devices, with a focus on synthesis, crystal structures, and the role of semiconductors in advancing energy technologies. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6266) | Tu 01:30PM - 04:20PM | Rm 202, E1 | ZHANG, Yong | 20 | 7 | 13 | 0 |
VECTOR | [1 credit] |
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DESCRIPTION | An independent study on selected topics carried out under the supervision of a faculty member. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R01 (6692) | TBA | TBA | TBA | 20 | 5 | 15 | 0 |
DESCRIPTION | Master's thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
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Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R01 (6056) | TBA | No room required | TBA | 999 | 22 | 977 | 0 |
DESCRIPTION | Original and independent doctoral thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
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Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R01 (6057) | TBA | No room required | TBA | 999 | 101 | 898 | 0 |