Pablo Hevia-Koch Email & Phone Number

Paris, Île-De-France, France

France

Paris, Île-De-France, France

Copenhagen Area, Capital Region, Denmark

Leader of the bilateral energy cooperation between Denmark and China. Focused on supporting the Chinese transition to green energy through long-term scenario modelling of the Chinese energy system, offshore wind development and efficient district heating. Previously worked as an expert on wind energy, with a focus on offshore wind policy development, in our cooperation programmes with China, India, and South Korea.

Lyngby, Denmark

Course responsible and lecturer for 42003 - Energy Economics, Markets and Policies, a 10 ECTS course part of the Sustainable Energy MSc programme at DTU.

Lyngby

The objective of the PhD study wasto contribute to the generation of a cost-efficient country-wide development path for wind energy that includes visual disamenity externalities. To achieve this, the work focused on extending the wind power cost curves by utilising acceptance costs for the different technology and size alternatives. It is part of the objectives of the project to determine how can the externalities on the relevant wind site projects be derived, for acceptance on wind energy turbines of varying sizes and technologies based on acceptance data-sets; and how can a cost-efficient deployment path for wind energy be derived utilising the previously calculated wind acceptance externalities in conjunction with technical cost curves.

Frederiksborgvej 399, 4000 Roskilde, Denmark

The objective of the PhD study is to contribute to the generation of a cost-efficient country-wide development path for wind energy that includes visual disamenity externalities. To achieve this, the work will be focused on extending the wind power cost curves by utilising acceptance costs for the different technology and size alternatives. It is part of the objectives of the project to determine how can the externalities on the relevant wind site projects be derived, for acceptance on wind energy turbines of varying sizes and technologies based on acceptance data-sets; and how can a cost-efficient deployment path for wind energy be derived utilising the previously calculated wind acceptance externalities in conjunction with technical cost curves.

Santiago De Chile

•Research regarding the generation of risk measures for estimation and prognosis of State-of-Charge on Li-Ion batteries. •By combining a State-of-Charge estimation and prognosis with theoretical elements from economical risk measure theory, a novel risk measure was developed, that can be utilised for real time decision making regarding Remaining Useful Life (RUL) estimations. Work done was published:Orchard, M.; Hevia-Koch, P.; Zhang, B.; & Tang, L. Risk Measures for Particle-filtering-based State-of-Charge Prognosis in Lithium-Ion Batteries. IEEE Transactions onIndustrial Electronics (Volume:60 , Issue: 11 ) 2013.

Msc Program In Sustainable Energies (Incomplete), Electrical And Electronics Engineering

Activities and Societies: Energy Crossroads Denmark

Civil Electrical Engineer, Electrical And Electronics Engineering, Suma Cum Laude

Activities and Societies: UChile Homebreakers Robotics Team, UChile Roadrunners Robotics Team

Bachelor Of Science (B.Sc.), Electrical Engineering, Suma Cum Laude

Activities and Societies: Robotics Research Lab, Rock Climbing Team, Mountaineering Team