2025-03-01 –, Main Hall (LH 111)
In providing a more sustainable future, we are looking for alternative and sustainable sources of energy. Since the Philippines is an archipelago and has varying terrain, there is a huge energy potential that can be harnessed from nature. In order to transform a resource into electricity, it goes through a variety of processes (e.g. exploration, analysis, modelling, etc.) and workflows that integrates different data sources. Python plays a huge role in connecting the various outputs and providing a common interface between domain experts. This talk will provide an overview of what is happening behind the scenes in the eyes of a software engineer.
The energy development cycle is made of various stages and their corresponding activities:
- Exploration and feasibility: Identifying resources and feasibility of a site using a variety of factors e.g. economic, environmental, physical, etc.
- Construction: Creation of the permit application, power plant designs and establishment of sensors.
- Operations: Monitoring of power plant performance based on the sensors.
- Decommissioning: When a resource is finished or the economics does not make sense, the powerplant is retired and converted into other assets.
Python is being utilized in a number of ways in these stages from data scraping, automation to modeling and recommendation systems. As such, python plays a vital role in making these processes efficient and worthwhile.
Personal and Professional Development
Audience Level:Beginner
Ian is a passionate data solutions developer, blending geospatial data with various systems across the full data spectrum. His experience includes being a researcher for an ocean renewable energy project, a software engineer in geospatial applications, solutions developer for digital transformation initiatives, and currently working as an machine learning engineer for a solar design software company whose main mission is to power the world with sunshine.