Screening of power to gas projects

The purpose of this thesis was the screening of power to gas projects worldwide and reviewing the technologies used and applications for the end products. This study focuses solely on technical solutions and feasibility, economical profitability is excluded. With power grids having larger penetrations of intermittent sources such as solar and wind power, the demand and production cannot be balanced in conventional methods. Technologies for storing electric power in times of surplus production are needed, and the concept called power to gas is a solution for this problem. A total of 57 projects mostly located in Europe were reviewed by going through publications, presentations and project web pages. Hydrogen is the more popular end product over methane. Power to gas is a viable concept when power production from intermittent sources needs to be smoothed and time shifted, when carbon free fuels are produced for vehicles and when chemical industry needs carbon neutral raw materials.

Controlling full penetration in MAG welding by the application of infrared thermography and neural network

In this study, an infrared thermography based sensor was studied with regard to usability and the accuracy of sensor data as a weld penetration signal in gas metal arc welding. The object of the study was to evaluate a specific sensor type which measures thermography from solidified weld surface. The purpose of the study was to provide expert data for developing a sensor system in adaptive metal active gas (MAG) welding. Welding experiments with considered process variables and recorded thermal profiles were saved to a database for further analysis. To perform the analysis within a reasonable amount of experiments, the process parameter variables were gradually altered by at least 10 %. Later, the effects of process variables on weld penetration and thermography itself were considered. SFS-EN ISO 5817 standard (2014) was applied for classifying the quality of the experiments. As a final step, a neural network was taught based on the experiments. The experiments show that the studied thermography sensor and the neural network can be used for controlling full penetration though they have minor limitations, which are presented in results and discussion. The results are consistent with previous studies and experiments found in the literature.