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Name Precious Pelina Daka
Languages English, French
Skills Python, Excel, SQL, Matlab, R
Interests 3D printing, optimization, renewable energy technologies, data science, AI, Solar PV, agriculture.
Registered 2022
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Academic Background/Biography[edit | edit source]

A highly motivated energy systems engineer, interested in Clean technologies, renewable energy and ways of harvesting in the future and applying it in smart technologies.Currently at Kyushu University(Japan) pursuing a Masters of Science in Energy Engineering at the Environmental and Energy (Farzaneh Laboratory).I will have submitted my masters thesis by August 2022. My current focus has been on the optimization of energy systems. I completed my undergraduate studies from UC Berkeley, USA in 2018 with a minor in public policy.  After my undergraduate studies, my specific interests included Financial modeling for using various clean energy technology, Decentralized energy resources, and Multiscale Modeling. Over the summer breaks of 2017 and 2018, as well as the winter break between them, I worked as an engineering intern at Siftscience in San Francisco and also worked as an intern in zesco at in Lusaka, Zambia which is the number one energy distribution company in Zambia. During my time with the companies above, I performed various tasks; including synthesized reports on decentralized renewable energy (DRE) to contribute to an open-source database Platform for Energy Access Knowledge (PEAK). I also collected and sort data on costs and technical information of mini-grids and centralized grids in Lusaka, Zambia. As at now, after pursuing my masters in energy engineering. My research interests include; the impact of renewable energy technologies on the environment,Solar PV in smart farming and digital agriculture as-well as optimization of energy systems while comparing different demand and supply models, Artificial Intelligence.

Publications[edit | edit source]

  • Co-authored; article "Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency" has been published in Applied Sciences as part of the Special Issue Artificial Intelligence and Emerging Technologies and is available online: Abstract: https://www.mdpi.com/2076-3417/11/2/763 PDF Version: https://www.mdpi.com/2076-3417/11/2/763/pdf The meta data of your article, the manuscript files and a publication certificate are available here (only available to corresponding authors after login): https://susy.mdpi.com/user/manuscripts/review_info/b14d887dab5f3c7171a7bacbd1b4f02f Special Issue: https://www.mdpi.com/journal/applsci/special_issues/AI_Technologies

Campus Involvement[edit | edit source]

  • The workshop ---- “Aligning Climate Change and Sustainable Development Policies in Asia: quantifying, integrating, and advancing co-benefits,

international webinar on "Tools and Methods for Implementing Projects and Policies with Climate and Sustainable Development Co-benefits: The Case of Air Pollution",

  • Brown Bag Seminar

“Activated charcoal for removing excess humidity”

Thesis Research Topic[edit | edit source]

Title: Optimization of Energy Systems in Zambia; Time series analysis for energy demand model and Gams MESSAGE MODEL for energy supply model.[edit | edit source]

Thesis will be available August 2022.[edit | edit source]

Chapter 1. Introduction

Background on country policies on energy sector

Research objectives and overview

Chapter 2 - Energy demand model

Chapter 3- Energy Supply model

-mathematical formulation of supply model

-Trends of CO2 emissions in the world /country

Chapter 4- Data Inventory

-Energy demand Data

-Energy Supply Data

Solar potential

Wind Potential

Chapter 5- Results and Discussion

-Scenario Definition;

Demand side

Supply side

Baseline Scenario

Future projections

Economic scenario

Energy Efficiency and Conservation

Chapter 6. Conclusions and Future Work

References

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