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 (6071) | 02-SEP-2024 - 06-DEC-2024 Tu 03:00PM - 05:50PM | Rm 202, E4 | XIAO, Dianxun | 20 | 10 | 10 | 0 |
VECTOR | [3-0-0:3] |
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PREVIOUS CODE | SEEN 6000D |
DESCRIPTION | This course aims to introduce the current situation on biologically inspired intelligence in smart buildings. Students will be well trained to conduct statistical analysis and programming experiments; to learn the principles of Artificial Neural Network, fuzzy logic, optimization algorithms and their applications to engineering problems. Technologies for the building role transition from traditional consumers towards prosumers will be comprehensively introduced through ‘source-grid-demand-storage-usage’. Peer-to-peer energy trading, cost-benefit business models and internet of energy things will be introduced. Lastly, in order to guarantee the power supply reliability during extreme weather or war period, energy resilience of distributed energy supply systems will be introduced. Multi-disciplinary areas will be involved in this subject, like fundamentals of artificial intelligence, thermodynamics, heating, ventilation and air conditioning, system modelling and simulation, renewable energy, energy economics, energy policy, and so on. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6063) | 02-SEP-2024 - 06-DEC-2024 Mo 03:00PM - 05:50PM | Rm 202, E4 | ZHOU, Yuekuan | 40 | 14 | 26 | 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 (6060) | 02-SEP-2024 - 06-DEC-2024 Tu 01:30PM - 04:20PM | Rm 148, E1 | ZI, Yunlong | 30 | 8 | 22 | 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 (6067) | 02-SEP-2024 - 06-DEC-2024 We 03:00PM - 05:50PM | Rm 201, W4 | HAN, Wei | 20 | 15 | 5 | 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 (6070) | 02-SEP-2024 - 06-DEC-2024 Fr 09:00AM - 11:50AM | Rm 202, E1 | HUANG, Jiaqiang | 20 | 13 | 7 | 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 (6075) | 02-SEP-2024 - 06-DEC-2024 Th 09:00AM - 11:50AM | Rm 201, W1 | YAN, Chang | 20 | 11 | 9 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | Managing carbon dioxide emissions resulting from the use of fossil fuels is a major concern for the development of sustainable society in the future. It is a interdiciplinary challenge involving engineering, chemical, physical and social sciences as well as policy and legal issues. Carbon capture and sequestration has been widely recognized as an important technology to reduce carbon emissions. This course will introduce the major technologies to capture carbon dioxide from power plants and other industrial emissions, and ultimately from ambient air. Moreover, advanced CO2 utilization technologies, including chemical and biological utilizations, will be introduced as well. In addition to the basic science and engineering challenges of each technology, the full spectrum of economic, environmental, regulatory, and policy aspects, as well as their implications for regional and global carbon management strategies of the future will be discussed. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6073) | 02-SEP-2024 - 06-DEC-2024 We 09:00AM - 11:50AM | Rm 150, E1 | ZHOU, Teng | 40 | 14 | 26 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | Atmospheric modeling and exposure assessment are key tools for dealing with air pollution and climate change. This course provides an overview of atmospheric modeling and exposure assessment, as well as an examination of how air pollution affects human health. The course begins with an introduction to atmospheric modeling, which covers numerical and statistical models used to forecast air quality, simulate the fate and source of ambient contaminants, and study climate evolution. The second half of the course focuses on exposure assessment, including methodologies and procedures for assessing exposure, dose-response relationships, and risk assessment. This course aims to provide students with the knowledge and abilities needed to conduct atmospheric simulations and health assessments using a variety of tools and approaches, as well as a deeper understanding of air quality management and climate change problems. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6057) | 02-SEP-2024 - 06-DEC-2024 We 09:00AM - 11:50AM | Rm 202, E4 | ZHENG, Junyu | 20 | 5 | 15 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course provides a comprehensive overview of the risk assessment and management process in environmental and public health, covering topics including hazard identification, exposure assessment, dose-response models, ecological risk assessment, risk communication, and so on. Each topic is designed to provide students with the necessary knowledge and skills to undertake risk assessments in various settings. Aiming to equip students with a thorough understanding of exposure and risk assessment and develop their ability to identify hazards, assess risks, and communicate risk management strategies effectively. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6052) | 02-SEP-2024 - 06-DEC-2024 Mo 01:30PM - 04:20PM | Rm 201, E1 | LEE, Shuncheng | 40 | 11 | 29 | 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 (6244) | 02-SEP-2024 - 06-DEC-2024 We 01:30PM - 04:20PM | Rm 102, E1 | ZENG, Jian | 30 | 10 | 20 | 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 (6245) | 02-SEP-2024 - 06-DEC-2024 We 03:00PM - 05:50PM | Rm 202, E1 | ZHOU, Sheng | 20 | 8 | 12 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | Explore the essential role of soft matter as a complementary component in the realm of energy technologies. This graduate-level course offers a comprehensive understanding of soft materials, encompassing their basic building blocks, physical and chemical properties, and their responsiveness to external stimuli. Special attention is given to the fundamental mechanisms underpinning the design of soft materials, spanning from the molecular scale to bulk structures, yielding exceptional performance characteristics. This knowledge empowers the integration of soft materials into a wide spectrum of energy innovations, with a focus on areas such as energy harvesting, energy-efficient technologies, and sustainable water harvesting systems. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6247) | 02-SEP-2024 - 06-DEC-2024 Tu 01:30PM - 04:20PM | Rm 201, W4 | LIU, Chang | 20 | 10 | 10 | 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 (6248) | 02-SEP-2024 - 06-DEC-2024 TuTh 10:30AM - 11:50AM | Rm 103, E1 | LIANG, Yutong | 20 | 7 | 13 | 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 (6249) | 02-SEP-2024 - 06-DEC-2024 Tu 01:30PM - 04:20PM | Rm 222, W1 | FANG, Chao | 30 | 8 | 22 | 0 |
VECTOR | [1-3 credit(s)] |
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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 (6441) | TBA | TBA | TBA | 20 | 4 | 16 | 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 (6401) | TBA | TBA | TBA | 999 | 16 | 983 | 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 (6402) | TBA | TBA | TBA | 999 | 69 | 930 | 0 |