How to select MDAO workflows

Multidisciplinary Design Analysis and Optimisation (MDAO) workflows consist of coupled tools driven by an algorithm for a specific purpose, e.g. optimisation. MDAO users may have at their disposal a set of tools of varying levels of fidelity. As a result, many permutations or MDAO workflows may arise, for which no clear methodology exists to evaluate, compare and rank them based on their performance. Our research question is then how to find the most useful MDAO workflows for a given purpose. This paper provides a guideline for solving this multiple criteria decision analysis problem. Our guideline includes a method to define the criteria and metrics for evaluating the performance of MDAO workflows, a strategy to aggregate the scores, and an optimisation algorithm forcategorical variables used to find the best alternatives. We apply this guideline to the offshore wind farm layout optimisation problem to demonstrate its use. This case study evidenced how critical tWind Energ

Techno-economic potentials and market trends for power-to-hydrogen and hydrogen-to-x based on a collaborative and international review

Motivation: Climate Targets Power-to-X Pathways: Core Elements of Future Energy Systems Task 38 of the IEA H2 TCP: Power-to-Hydrogen and Hydrogen-to-X Task 38 of the IEA H2 TCP : Power-to-Hydrogen and Hydrogen-to-X: System Analysis of the techno-economic, legal and regulatory conditions Literature Review: Approach Selected Results of Review 1 to 5 Literature Review: Identified Target Markets Literature review: Target Market -Transportation Literature Review: Target Market – Synthetic Methane and H2 Feed-in Literature Review: Target Market – Power-to-Power Summary Lessons Learned: Guideline for Author