# Optimal Scheduling of Flexible Power-to-X Technologies in the Day-ahead Electricity Market

arXiv: https://arxiv.org/abs/2110.09800 · HTML: https://mlsanity.com/paper/2110.09800/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Oct 2021.

## Built on by (most cited first, 1 of 1)

- [Resource-constrained Project Scheduling with Time-of-Use Energy Tariffs and Machine States: A Logic-based Benders Decomposition Approach](https://mlsanity.com/paper/2601.06542/) (2026)

## Abstract (arXiv)

The ambitious CO2 emission targets of the Paris agreements are achievable only with renewable energy, CO2-free power generation, new policies, and planning. The main motivation of this paper is that future green fuels from power-to-X assets should be produced from power with the lowest possible emissions while still keeping the cost of electricity low. To this end we propose a power-to-X scheduling framework that is capable of co-optimizing CO2 emission intensity and electricity prices in the day-ahead electricity market scheduling. Three realistic models for local production units are developed for flexible dispatch and the impact on electricity market scheduling is examined. Furthermore, the possible benefits of using CO2 emission intensity and electricity prices trade-off in scheduling are discussed. We find that there is a non-linear trade-off between CO2 emission intensity and cost, favoring a weighted optimization between the two objectives.