Ahmed Ahmed

BEng MSc MRes

  • Doctoral Researcher

Research and expertise

I am currently researching the economic and environmental impact of incorporating energy demand flexibility in buildings.

My research focuses on the exploitation of flexible technologies embedded within buildings such as renewable energy technologies, building thermal mass, thermal storage and effective control and optimization methods to activate demand flexibility and assesses the economic value of grid-interactive community energy design with flexibility.

Previously, my work focused on energy use in homes and forecasting underheating in dwellings. I explored model predictive control strategies and investigated ways to forecast the internal temperatures of homes. I developed a time-series forecasting model that produced multi-step ahead forecasts of internal temperatures of dwellings in the winter.

I have experience in building energy modelling, energy measurement, dynamic thermal simulation, computer programming, white/grey and black-box modelling, model predictive control and machine learning algorithms. I also have expertise in a wide range of design and simulations tools for developing and designing building geometry and constructions, renewable energy technologies, energy systems and building electrical and thermal energy loads. 

Current research activity

  • 2019-2022. ENERGY FLEXIBILITY: Techno-economic analysis and design of community energy systems with demand flexibility. Supervised by Dr Bianca Howard and Prof. Richard Buswell. Engineering and Physical Sciences Research Council (EPSRC) London-Loughborough (LoLo) Centre for Doctoral Research in Energy Demand (grant EP/L01517X/1).

Recently completed research projects 

  • Energy use in homes and cold-related morbidity and mortality: Forecasting underheating in dwellings to detect excess winter mortality risks using time series models. EPSRC London- Loughborough (LoLo).

Recent publications

  • Ahmed, A.I., McLeod, R.S. and Gustin, M. (2021) Forecasting underheating in dwellings to detect excess winter mortality risks using time series models, Applied Energy, 286. DOI: https://doi.org/10.1016/j.apenergy.2021.116517
  • Ahmed, A. and Gadi, M.B. (2017) A New Global Thermal Comfort Assessment Software "GlobCom", Proceedings of 7th International Conference: People and Buildings, 10 (In Press.)

Teaching

I contribute to learning and teaching activities across the School's programmes, including:

  • Co-organising programmes, sharing experiences and encouraging young students, particularly from BAME backgrounds, to access higher education and research institutions (in STEM subjects)
  • Providing programmes to improve the performance and attainment level of high school students

Profile

Career

Having received my first degree in Electrical Engineering from the University of Birmingham, UK, I am a cognitive and numerical individual who possesses strong knowledge in the principles and applications of energy systems, computer programming, data analysis and simulations. In my undergraduate final year, I worked with the department of Birmingham University’s Energy Research Group, using MATLAB for modelling and simulations on energy storage project for hybrid vehicles and gained extensive engineering and research skills.

An interest in sustainable technologies and building energy has led me to join and successfully complete an MSc in Renewable Energy and Architecture from the University of Nottingham. During my MSc, I acquired extensive knowledge of energy systems modelling, energy efficiency and low carbon technologies. My first research project was to analyse the energy intensity of a large processing plant (heating, refrigeration and lighting) and to propose alternative system replacements that significantly reduces energy consumption while service level is unaffected. I utilised energy modelling techniques and data analysis tools (Excel and Python) to do this project. I gained a broad range of research skills, energy modelling, energy efficiency, comparative analysis and equipment selection and or transitioning to low carbon systems as well as the economic assessment and the impact on greenhouse gas emissions. In my final dissertation project, I developed my own energy modelling software program using Visual Basic programming language that analysed heat gain and loss of a new construction building in order to assess its energy efficiency, carbon footprint and thermal comfort.

I joined the LoLo CDT ESPRC program in 2018. In my first year of research, I have studied underheating in homes and investigated ways to forecast the internal temperatures of homes during winter. In my MRes, I developed a time-series forecasting model for the purpose of achieving multi-step ahead predictions of low internal temperatures of dwellings in the winter.

Currently, I am studying the techno-economic impact of integrating energy flexibility into the design of community energy systems. The goal of this research is to explore novel approaches to reduce energy cost, improve thermal comfort and reduce greenhouse gas emissions in the built environment.

Professional affiliations

  • CIBSE Member

Awards

  • EPSRC 2018

External activities

  • Collaborating in programs inspiring high school students (STEM)
  • Participate in community meetups, share knowledge, learn and teach coding skills

Key collaborators

My research and enterprise activities are conducted with a range of academic and stakeholder partners, including:

  • Active Buildings Centre