top of page
Research
Our commitment to research projects sets us apart, delving deep into innovative workflows, energy-efficient technologies and using the principles of algorithmic and regenerative design principles. From conceptualizing green urban spaces to exploring different facade variations, our consultancy thrives on pushing the envelope of sustainable design and computational design.
Research project 1 / Author of Greek national sustainability guidance
Project description/
Development of the official sustainable design guide for the Technical Chamber of Greece
Summary/
This project involved thousands of simulations that helped in the development of the official guidance that would be issued by the Chartered Institution of Engineers in Greece. This document will be used by engineers and architects and will act as a guiding instrument towards achieving a sustainable design. It includes recommendations about shading design, fabric properties, how to analyse climatic data and acts as an overall handbook.
Research project 2 / Life cycle and carbon optimisation
Project description/
Multi objective optimisation of facade
Summary/
This research - carried out in collaboration with London South Bank University - aims to assist in revealing the best performing combination for a dwelling’s façade in the UK, in the pursuit of lowering both life cycle cost and carbon emissions. This is achieved through the implementation of a multi-objective optimisation algorithm that can navigate through all of the scenarios and combine the best performing without the need of simulating all of them, thus greatly reducing simulation time. The analysis pointed out that a mix of tightly insulated fabric, airtight construction, high spec glazing with high g-value and an electric based conditioning system, increases upfront cost significantly but over the life cycle of the building lowers associated operational cost and carbon emissions.
Research project 3 / Co-simulation of EnergyPlus via FMU
Project description/
Simulation of occupant behaviour
Summary/
This project involved the simultaneous simulation of occupant behaviour with a dynamic thermal model to better predict energy consumption throughout the year. A smart sensor has been embedded in the occupant behaviour script that would be directly linked with the results of the zone that was simulated from EnergyPlus, and define the occupant's need for cooling and heating based on the time of the year. This required the development of a Functional Mock-up Unit (FMU) based on a Python script that would facilitate the connection between all of the above. This allowed for real-time exchange of data among software in minute-increments, something that is not facilitated in currently available energy simulation software. The process is explained in the image below.
bottom of page