New and Renewable Energy Systems (MECH0032)

Overview:

This module aims to help students achieve competency in using analytical methods for understanding the design and behaviour of new and renewable energy systems: design, operational and integration issues.

The module provides technical knowledge in renewable technologies so as to appreciate the design features for different systems on land and at sea.

Topics covered:

Current main sources of energy
 Solar energy
 Wind energy
 Hydro, tide and wave energy
 Geothermal energy
 Fuel cells
 Alternative fuels
 Other renewable energy sources
 Mechanical energy storage systems
 UK national grid
 Connecting energy sources to the grid
 Marine renewable energy
Learning outcomes:

Upon completion of this module students will be able to:

Appreciate the range of renewable and alternative power systems and understand why different designs are used in different power applications and appreciate their technical limits.
 Analyse renewable power systems so as to calculate and relate key parameters such as fluid flow, torque, speed, efficiency, and power under steady-state conditions, etc.
 Understand the ‘state of the art’ in renewable power systems and appreciate advances in new technologies that will influence future designs.

MARKET AND RISK MODELLING|MATHEMATICALLY RISK MANAGEMENT|CANONICAL TRACTABLE MODELS|PROBABILITY|

The course serves as an introduction to market modelling and fundamentals of market modelling: market participants and market instruments. Utility and risk:...

Market Risk and Portfolio Theory (MATH0094)

The course serves as an introduction to market modelling and fundamentals of market modelling: market participants and market instruments. Utility and risk: Utility functions and related properties; risk measures and related properties. Portfolio choice: investment-consumption problems, risk management, performance measurement. Pricing rules. Implementation: factor models, computer implementation, result interpretation and testing.

Risk is an intrinsic element in financial markets. Its quantitative modelling and understanding is a cornerstone of modern financial theory, as it is essential to many activities like choosing investment strategies, calculating capital require-ments and creating new financial products.

This module aims to study quantitatively (by using several mathematical tools from probability, optimisation, linear algebra,...) the effects of market risk under some modelling assumptions. We will pay particular attention to the effects associated to decision making for investors and regulators. Important aspects related to the implementation of these concepts will be highlighted