Energy

Challenge: Current user interfaces do not effectively support fieldwork. In addition, the lack of location services and offline functionality makes daily work more difficult in repair activities and data collection in the field.

Opportunities: Improve the efficiency of fieldwork and the real-time availability of information. Use a robust mobile application with offline capabilities that enables higher-quality data collection in all conditions, without manual work steps, and forwards the data to back-end systems for analysis.

Solutions: 

• Develop efficient and transparent management of maintenance work collected from different data sources.
• Develop mobile and user-friendly solutions specifically for field conditions, enabling work to continue offline.

Challenge: Improving the efficiency of energy production and managing maintenance-related shutdown in production plants are key business challenges in the energy industry. In the same way, transparency in the situational awareness of electricity network maintenance significantly supports fieldwork management and work prioritisation in both normal and storm conditions.

Opportunities: Improve energy efficiency and reduce the impact of shutdowns on production, while proactively ensuring the high-quality operation of the electricity network by addressing maintenance needs.

Solutions: ​

• Develop and implement intelligent work management solutions that use real-time data to support maintenance activities.
• Use machine learning to improve forecasting and develop small applications to accelerate processes.
• Our SaaS solution for predictive maintenance in energy industry production plants.

Challenge: Changes in energy consumption pricing models and fluctuations in market electricity prices have made production process optimisation even more critical than before. At the same time, the role of data in developing and managing business in the energy sector is becoming increasingly important.

When business processes rely on the data collected from them, the data used for optimisation must be of high quality. Maintaining data and ensuring consistency is challenging, and identifying incorrect data is critical. Effective data solutions can be used to optimise the bottlenecks of everyday operations across and between different functions.

Opportunities: Enable the use of data in business processes and as a tool for management. Improve data quality and availability. Strengthen decision-making and optimise operations to become more efficient.

Solutions: ​

• Identify the potential of data from a business perspective and develop the required metrics for effective management.
• Identify data anomalies — the capability to detect incorrect data quickly and ensure that the calculation of production plant efficiency is accurate.
• Develop automated tools for identifying and correcting data.
• Further utilise machine learning for better data processing.
• Improve data visualisation and understandability, bringing all functions to the same level of awareness regardless of the systems in use. 

Challenge: The energy industry is no exception when it comes to how significantly business requirements have changed from previous decades, as data from different sources is increasingly used in new business models and to improve operational efficiency. This creates essential challenges for the development of business applications from the perspective of cloud transition and modernisation.

A specific characteristic of the energy industry is often that data and processes classified as critical cannot be used directly in public cloud services, which means that utilising cloud technologies requires other kinds of solutions.

Opportunities: Ambientia has extensive experience in modernising business applications and designing architectures based on cloud technologies. This enables different data sources to be utilised effectively and makes the development of business applications more agile.

Solutions: Private Cloud technology provides a solution for processing critical data and processes in a modern application runtime environment. The Red Hat OpenShift platform enables the flexibility and scalability needed for this purpose.