Data availability is a significant obstacle in the path to decarbonization, according to a recent study by Siemens. The report highlights the role of technology in advancing decarbonization efforts but points out that data gaps remain a major challenge.
The study reveals that while 54% of surveyed organizations consider themselves mature or advanced in data-driven management, many still lack essential data. Specifically, 44% do not have emissions data, 46% are missing plant and machinery performance data, and 30% lack energy consumption data. These areas are crucial for improving decarbonization and resource efficiency.
Even when data is available, organizations encounter difficulties in effectively integrating, managing, and analyzing it due to various limitations. There is an acknowledged need to increase the volume, improve the quality, and enhance the availability of data assets for informed decision-making aimed at achieving better efficiency and sustainability outcomes.
Artificial intelligence (AI) emerges as a promising solution for energy transition. According to the survey results, 33% of respondents believe AI will have the most positive impact on decarbonization and resource efficiency over the next three years. Other technologies such as IoT, digital twins, smart grids, and edge technologies also play significant roles in reducing emissions currently.