The submission contains problems names with the initial guesses that were used to solve them for the reference of the reader.

This code is of a Non-Convex Mixed Integer Quadratic Programme of a hydrogen export facility. This programme is a multistage stochastic model, using inheritance based indexing in order to account for the influence of uncertainty in weather forecasting on the optimal scheduling of the export facility.

In this file can be found:
- Energy demands and scope 1 CO2 emissions for different lime production routes
- Assumptions underlying the price scenarios
- Commodities prices used for cost estimation

To match the growing demand for biomethane production, anaerobic digestors need an optimal and time-varying adaptation of the input diet. Dynamic co-digestion constitutes a hard challenge for the limited instrumentation and control equipment typically installed aboard full-scale plants. The development of prediction models is foreseen to support process (optimal) design and control. In this work, a rigorous framework is applied to take full-scale applicability into account while dealing with the design and training of both high-fidelity and control-oriented first-principle/grey-box models, intended to be exploited for real-time optimization and actual process control respectively.