Paris, Île-de-France, France
I’m an energy policy leader helping governments and industry deliver secure, affordable and climate-aligned electricity systems. As Head of Renewable Integration & Secure Electricity at the IEA, I lead a team of 20+ experts and oversee a multi-million-dollar programme producing flagship analyses that inform government policies and investments in supply, grids and storage worldwide. My work has supported initiatives such as the COP29 Global Grids & Storage Pledge, and I regularly engage ministers, CEOs and civil society while shaping discussions at multilateral forums including the G7, G20 and COP. Beyond the IEA, I serve on the board of the Regulatory Assistance Project, supporting energy regulators around the world. I’m passionate about building bridges between advanced and emerging economies and aligning public and private action to accelerate the energy transition.
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.
Course responsible and lecturer for 42003 - Energy Economics, Markets and Policies, a 10 ECTS course part of the Sustainable Energy MSc programme at DTU.
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.
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.