The heat session included the below presentations.

You can download a PDF of the combined heat presentations.

This session was also recorded and can be found embedded below or on our youtube channel.


Modelling and optimisation of distributed energy resources for food retail buildings: an investment and management analysis approach

Student: Aspasia Georgakopoulou
Supervisor(s): Dr Christos Markides (Department of Chemical Engineering), Dr Salvador Acha Izquierdo (Department of Chemical Engineering)
Poster number: #9 Download PDF COMING SOON

This project, conducted in the context of the Imperial-Sainsbury’s partnership, consists of two case studies that investigate optimal solutions for various types of stores in order to cover their energy needs through self-generation. The first case study examines the integration of CHP and ORC units in supermarkets, as previous work has shown that these systems have great potential in generating low-carbon electricity that meets supermarket energy demands. Secondly this project examines the case of a future distribution centre, identifying a method to calculate the expected load while seeking to select the optimal technology portfolio. The available technology solutions for distribution centres are CHP units, CHP units coupled with ORC units and CHP coupled with absorption chillers. The Technology Selection and Operation (TSO) model developed for these case studies is a tool that can indicate the optimal technology portfolio in order to either minimise the cost of operating the store or minimise the resultant emissions from satisfying the store’s energy demands.

Agent-based modelling of residential heat demand in a district heating network: a decision support tool for Queen Elizabeth Olympic Park case study

Student: Maria Briola
Supervisor(s): Dr Koen Van Dam (Department of Chemical Engineering)
Poster number: #10 Download PDF COMING SOON

The transition to decentralised, low-carbon district heating will encourage the development of environmental friendly communities that will be able to secure urban energy future and improve people’s lifestyles. This project investigates contemporary district-heating networks in order to gain insight on the methods that are currently being implemented to address district-heating challenges. The aim of this project is to accomplish optimal operation and maximum efficiency of district heating networks in general, and more specifically Olympic Park’s district heating network. To achieve this, a model that will be able to simulate the dynamic behaviour of district heating networks is built.

Modelling and optimisation of a district heating network’s marginal extension

Student: Axelle Delangle
Supervisor(s):  Professor Nilay Shah (Department of Chemical Engineering), Dr Romain Lambert (Department of Chemical Engineering), Dr Salvador Acha Izquierdo (Department of Chemical Engineering)
Poster: #11 Download PDF COMING SOON

District heating networks have been used for decades in urban energy systems. These flexible and energy efficient systems are increasingly considered as an essential part of future energy systems in the UK and in Europe. This project, which is part of the Imperial College – EDF Energy partnership, investigates the marginal expansion of an existing district heating network in London. After determining the potential candidate loads to be connected, the project assesses the costs associated with the network extension as well as the optimal sizing and phasing for this expansion.

Analysis of water-cooled refrigeration systems for the food retail industry

Student: Maria-Aliki Efstratiadi
Supervisor(s): Dr Christos Markides (Department of Chemical Engineering), Dr Salvador Acha Izquierdo (Department of Chemical Engineering)
Poster: #12 Download PDF COMING SOON

Supermarkets in the UK currently account for around 3% of the total electricity consumption from which 20% to 60% is used for refrigeration. With the goal to reduce the environmental footprint of the retail industry, this thesis aims at examining the potential of water-cooled refrigeration systems in supermarkets. It will focus on modelling a water-cooled refrigeration system and comparing it with a conventional air-cooled system in terms of performance, economic characteristics and environmental impact. Performance data from a Sainsbury’s supermarket will be collected and processed under the Imperial College-Sainsbury’s partnership for the 20x20 sustainability plan.

Modelling and optimisation of a district heating network

Student: Adrian Regueira Lopez
Supervisor(s): Dr Romain Lambert (Department of Chemical Engineering) and Dr Nilay Shah (Department of Chemical Engineering)
Poster number: #13 Download PDF COMING SOON

Ahead of the targets the UK has committed to in response to environmental and global warming concerns, several actions have been taken in order to decarbonise heat, which represents 46% of the final energy consumed and is the single biggest use of energy in the UK. This has led to an increased interest in district heating (DH) networks as a means of providing space heating and domestic hot water in the residential and commercial sectors. Through centralised heat sources and the use of waste heat and renewable energy, DH offers better resource efficiency and lower carbon emissions. This project will model a real DH network developed by the Greater London Authority and will focus on the commercial impact of installing strategically dimensioned pipework to cater for future heat demand.

Simulating heat and electricity demand in urban areas: an agent-based modelling approach in residential and non-residential buildings

Student: Panagiotis Ladas
Supervisor(s): Dr Koen van Dam (Research Fellow, Centre for Process Systems Engineering), Dr Salvador Acha (Department of Chemical Engineering), Gonzalo Bustos-Turu, PhD (Centre for Process Systems Engineering)
Poster number: #14 Download PDF COMING SOON

Most of the world’s population live in urban areas accounting for about 75% of total energy consumption and 60-70% of global greenhouse gas emissions (GHG). In this context, it is important to understand the influencing factors of energy demand in urban areas in order for different local sustainability measures to be assessed. This research project develops a modelling framework to characterise energy demand by taking into account user behaviour, the specific characteristics of different building types and technical aspects. The project focuses on agent-based modelling that allows a bottom-up prediction of the energy demands of future occupants. A case study is evaluated in the Isle of Dogs area, located in East London.