Sergio Poco Aguilar

School of Architecture

PhD Research Student

Sergio Edgar Mauricio Poco Aguilar
sempocoaguilar1@sheffield.ac.uk

Full contact details

Sergio Poco Aguilar
School of Architecture
Arts Tower
Western Bank
Sheffield
S10 2TN
Profile

Architect and Urban Planner. I did my undergraduate studies at the Catholic University of Santa Maria in Peru and became a chartered architect in that country in 2014. After receiving a "Presidente de la Republica" scholarship for postgraduate studies that same year, I was able to carry on with my Master studies in Urban Planning and Policy Design at the Politecnico di Milano University in Italy, receiving the highest honours on graduation. In 2018 I started my studies at The University of Sheffield, thanks to a 3+1 Advanced Quantitative Methods (AQM) White Rose DTP scholarship, allowing me to spend my first year in Sheffield doing a MA in Social Research which I achieved in 2019. That same year I became a Grantham Scholar. I have worked in Peru both in governmental institutions and academia, and I have served as teaching assistant in Sheffield. My main interests are Informal urbanism, digital design, social simulation and the interaction between microclimate, comfort and energy in cities.

Research interests

Project title: 
Balancing affordability and environmental sustainability in incremental housing in Peru: An agent-based approach

Project outline: 
Urban settlements are currently responsible for the majority (around three quarters) of global resource use. Furthermore, the urban population is set to double during the coming 30 years, with around 80% of this growth taking place in developing and under-developed economies. These urban economies, in which incremental housing (the incremental building of a dwelling) has emerged as the favoured means of housing provision for low and middle-income households, will thus exert a considerable pressure on the environment in years to come.

The current work, embedded in a research project seeking to understand the processes by which incremental housing evolves over time and how this evolution can be directed to minimise its environmental unsustainability, presents a method to produce simulation-based urban scenes to be used as input for urban-scale building energy models (UBEM). To this end, multi-agent learning is used to simulate the decision-making processes of multiple households inside an incremental-housing neighbourhood. A cooperative scenario implemented in Rhino and Grasshopper is used to test an early prototype operating under the proposed method.

Primary supervisor: 
Professor Darren Robinson

Co-supervisor: 
Dr Parag Wate

Date started: 01/10/2019

Research group

People, Environment & Performance