Mathematical Models for Energy Planning and Optimisation

Online | In-company

Overview

Mathematical models provide decision-makers with the tools required to make well-informed decisions relating to energy planning and deployment. However, current knowledge and the fundamentals on this subject matter are often limited to scientific research.

Conventional and renewable energy systems

This course focuses on the application of mathematical models in industry and provides guidance on how they can help to inform better decisions in the energy sector. You will be able to apply the methods and techniques learned from this course to optimise conventional and renewable energy systems.

The methods taught in this workshop will consist of basic modelling approaches to optimise energy systems and supply chains based on cost, and emissions. Featuring simple examples and case studies, the course will give you hands-on experience in developing mathematical models that can be applied to your work.

You will also get a chance to use the models you develop during the workshop to analyse different scenarios, which may be useful or related to situations in fluctuating energy markets.

The workshop is aimed at participants from industry and academia, and so the methods for modelling taught are deterministic rather than stochastic.

Learning outcomes

By the end of the course, you will understand:

• why mathematical models are needed
• how models are used in reality
• some of the important terminology
• how to formulate equations that make a mathematical model
• how to build a mathematical model for energy systems
• how to solve design optimisation problems
• how to use models to analyse different scenarios
• how to solve supply chain problems.

Who will benefit

• Chemical and process engineers working in the energy sector
• Researchers working in the field of energy

Previous delegates said

"The structured approach to breaking down and synthesizing the system to be optimised was a good refresher."
S Pressinger, ViscoZip, UK

Course outline

• Steps required for mathematical optimisation
• Operational optimisation
• Design optimisation
• Supply chains

Upcoming courses

Online 

Online courses consist of three live and interactive modules with the trainer. There will also be some work to complete independently before the course and between the live sessions. More details will be provided after you have registered.

From 2 December 2024

• Module 1 – 2 December 2024, 09:30–12:30 GMT
• Module 2 – 6 December 2024, 09:30–12:30 GMT
• Module 3 – 11 December 2024, 09:30–12:30 GMT

Live sessions are delivered via Microsoft Teams. If you don't already have this installed, you can join as a guest in order to access the training.

Face-to-face 

• No scheduled dates.

Not available then?

Register your interest in alternative dates.

Fees

• IChemE member – £1,140 + VAT
• Non-member – £1,425 + VAT

How to register

Select your preferred course from the list of upcoming start dates and go to the 'Book course' button at the bottom of the page.

More than one person to train?

Multi-place discounts

Discounts are available to companies booking more than one place. Bookings must be made at the same time to receive the discount.

• 2 places – 10% discount
• 3 places –15% discount
• 4 or more places – 20% discount

In-company training

This course can be delivered to corporate teams, either on-site or online. This could be a cost-effective option if you have several people requiring the training. Content can be tailored to your specific requirements. Request a quotation.

Attendance certificate & CPD hours

An e-certificate will be issued at the end of the course to confirm attendance and CPD hours logged. Please note that you must attend all modules to receive the certificate. 

CPD hours should be used as an approximate guide and will vary depending on the preferred approach of the delegate and to what extent additional learning is completed.