Imperial College London

Diego A. Moya-Pinta, PhD

Faculty of EngineeringDepartment of Chemical Engineering

Academic Visitor
 
 
 
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Contact

 

+44 (0)7450 839 016d.moya17

 
 
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Location

 

C509ACE ExtensionSouth Kensington Campus

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Summary

 

Summary

Diego is an academic visitor in the Energy Systems Modelling Group at Imperial College’s Sustainable Gas Institute (SGI), and is an alumnus of the Science and Solutions for a Changing Planet DTP at the Grantham Institute. He is a scholar of the Faculty of Civil and Mechanical Engineering, Technical University of Ambato, UTA-Ecuador. At UTA, Diego teaches Non-Conventional Energy Resources and Thermal Machines. He has recently completed the 4-year PhD program at the SGI and the two-year Master of Engineering with Advanced Studies, Specialisation in Energy Systems, Griffith University, Australia and his previous studies are a Bachelor in Mechanical Engineering, National Polytechnic School, Ecuador.


At Imperial, his current area of research is based on Geographical Information Systems, GIS-based and Agent-based modelling (ABM) approaches to assess global decarbonisation pathways of the residential sector. This sector is a classic case of all of the challenges of modelling technology deployment. Decarbonising space heating and cooling, water heating, lighting and appliances requires the adoption of clean and low carbon technologies to meet demands for energy services. However, modelling the residential sector still requires a robust understanding of the spatio-temporal variabilities of the end-use energy demand and how agents behave when investing in new technologies to meet their energy demands. Integrated Assessment considering GIS & ABM in the global energy system can help stakeholders such as academia, government, industry and users with understanding and long-term planning the use of cost-effective low carbon and renewable energy technologies.


Diego is part of a team of energy systems modellers associated with the SGI working in the implementation of MUSE, the Modular Universal energy system Simulation Environment to enable transparent and flexible analysis of energy system transitions. Diego also has a very keen interest in further researching areas related to energy conversion from solar and geothermal energy, waste to energy technologies and the use of natural gas.

Personal website and portfolio: https://diegomoya.me/ 

LinkedIn: https://ec.linkedin.com/in/moyaconsultores

Twitter: @dmoyaec


biography


Date Degree/Award/Position

2017-present

PhD researcher at ICL

2016-present

Scholar at UTA-FICM (in leave for PhD studies)

2016

Awarding a fully Scholarship for PhD studies from the Ecuadorian Government – SENESCYT.

2015-2016

Honorary Visiting Research Scholar at Griffith School of Engineering

 

Senior Leader at Student Success Division at Griffith University

2014 - 2015

Master of Engineering with Advanced Studies, Griffith University, Australia

Awarding the 2015 Griffith Award for Academic Excellence, top 5% of students, GPA: 6.13/7, Distinction 

Specialisation: Energy Systems

 

Leader at Student Success Division at Griffith University

2013

Awarding a fully Scholarship for Master studies from the Ecuadorian Government – SENESCYT.

2010-2013

Engineer Researcher at  National Polytechnic School (EPN), Quito, Ecuador

2003-2010

Bachelor of Mechanical Engineering, EPN, Accumulative GPA: 27.2 (with 30 the highest)

2007

Advanced Certificate in Energy Efficiency

Ministry of Energy, Ecuador

2007-2008

Assistant of laboratory, EPN, Experimental Physics laboratory of The Faculty of Science.

2004-2008

Assistant of laboratory with scholarship, EPN, Renewable Energy and Efficiency Energy laboratory, Faculty of Mechanical Engineering


Publications

Journals

Muñoz-Valverde P, Villena-López O, Mayorga-Ases L, et al., 2024, Prediction of abrasive wear and surface hardness of printed parts by SLA technology, Ingenius, ISSN:1390-650X, Pages:19-31

Moya Pinta DA, Copara D, Olivo A, et al., 2023, MUSE-RASA captures human dimension in climate-energy-economic models via global geoAI-ML agent datasets, Scientific Data, Vol:10, ISSN:2052-4463

Moya D, Arroba C, Castro C, et al., 2023, A Methodology to Estimate High-Resolution Gridded Datasets on Energy Consumption Drivers in Ecuador's Residential Sector during the 2010-2020 Period, Energies, Vol:16

Moya D, Copara D, Borja A, et al., 2022, Geospatial and temporal estimation of climatic, end-use demands, and socioeconomic drivers of energy consumption in the residential sector in Ecuador, Energy Conversion and Management, Vol:261, ISSN:0196-8904, Pages:115629-115629

Moya D, Copara D, Amores J, et al., 2022, Characterization of energy consumption agents in the residential sector of Ecuador based on a national survey and geographic information systems for modelling energy systems, Enfoque Ute, Vol:13, ISSN:1390-9363, Pages:68-97

More Publications