Utilities
Technology
For utility companies, transforming operations and systems with digital technologies can create substantial value: a reduction in operating expenses of up to 25%, which can translate into lower revenue requirements or higher profits. Performance gains of 20 to 40% in such areas as safety, reliability, customer satisfaction, and regulatory compliance are also achievable [1]. Industry transformation will require a wide range of technologies:
Business Applications
Industry analysts estimate only 1-2% of total industry spending goes to IT and digital enhancements. Energy companies also allocate 20% less of their IT budgets to digital transformations than companies in other industries. Compared to digital leaders, they spend 55% less [1].
Energy companies must transition from their legacy core applications (both enterprise and core business) to cloud-native architecture to take maximum advantage of integrated processes and data.
42% of energy providers are currently investing in digital channels to improve the customer experience, and 35% are investing in sales and service analytics [2].
The metaverse presents the utility industry with an opportunity to transform customer and community engagement. It creates an immersive approach that enhances the nuances of a transformed utility-customer relationship. It will be used to educate and engage customers on energy efficient technologies, local energy markets, EV route planning and charging, and much more. And it will be used to train a new generation of utility employee and support engineers working in the field.
Blockchain is another technology that help streamline and coordinate traditionally centralised processes through a more distributed energy ecosystem. Use cases include; trading Renewavle Energy Certificates (REC), peer-to-peer energy generation (microgrids), real-time transactions to balance supply and demand, and energy payments for EV charging stations.
Data, Analytics, AI & Automation
Data volumes of a typical energy company are doubling every 18 months so the opportunity for utility companies to make better use of data is tremendous. A robust data foundation is a prerequisite for the successful implementation of new-energy models. In 2021 it was found that only 38% of organizations have begun working with big data for smart load management and smart metering [1].
Data and analytics have use cases right across the value chain: big data will enable system operators to balance energy flows. For example, they can use weather information to forecast changes in wind and solar generation, by location. Power generators can analyse resource use to improve asset management, reduce time-based maintenance and increase predictive maintenance. Suppliers can make better predictions of consumer behaviour and preferences. And consumers can opt for more environmentally-friendly energy sources, or investigate a range of sources to get the best prices, buying energy when rates are cheaper, then storing for future use when rates are higher.
Analytics and AI can can improve customer satisfaction (an increase of 10 to 20 percent) while unlocking lower cost to serve (cost savings of 20 to 30 percent in some cases) [2]. Utilities will need to build algorithms that use advanced machine-learning techniques and data from previous interactions across channels (such as email, chat, apps, and IVR) to forecast intent. AI-based control loops will automate network operations by processing in milliseconds the data from billions of sensors across networks and on customer premises.
Intelligent automation will be deployed at scale in customer service and back-office functions to automatically monitor processes, fix incidents, fulfill service requests, and provide support. This is achieved by a combination of analytics, RPA, process monitoring, NLP, ML, and AI methodologies and technologies. The self-driven processes enable the reduction of cost to serve and the differentiation of customer experience.
Compute & Cloud
Cloud technologies are foundational to facilitating a more complex energy system that requires orchestrating DERs, balancing renewables and offering deeper insight and control over energy usage. Beyond improving the current energy system, the cloud also has the potential to create platform energy economies and open innovation, bringing together data and services from multiple providers.
73% of utilities have already deployed cloud-based solutions in some form, but many of these are in specific areas of the business or for point applications rather than large-scale cloud transformations. Utilities’ slow move to cloud is for good reason. Historically, accounting treatments for cloud shifted much of the cost to operational expenditures rather than capital. For many utilities, the cost, accounting and regulatory approach to cloud made the business case difficult to justify. This has changed.
Cloud can enhance business agility and resilience, optimize IT spending, accelerate innovation, enable new business capabilities and revenue streams—all while reducing technology related carbon emissions. Cloud can transform Utilities in two ways; breaking the data and technological silos that have hindered the industry’s transformation, and enabling key capabilities such as artificial intelligence and machine learning.
As the grid evolves to more Distributed Energy Resources (DER) there are practical limits on the timescales and resolution of grid analytics. There is only so much data that can be collected and analysed before computation and communication limits are encountered. Even the deployment of new fast solutions such as 5G cannot solve many practical issues. Therefore Edge computing is a key enabler of smart grid networks, bringing computation closer to the energy producers and consumers, enabling better control, smarter management, and new services. New software solutions can be deployed to enable:
• voltage, demand and generation monitoring;
• transformer regulation and control;
• fault detection and remediation;
• energy management;
• analytics and prediction; and
• predictive maintenance and more, together with an
enhanced cybersecurity.
ABI Research has found that cloud spending in the industry is expected to rise by 4-5 times over the next five to six years.
Networking & Communications
Connectivity is a critical element to allow the remote management of operations and to enable the workforce to be productive in the field.
To integrate and control the new renewable sources and enable the new end-user usages, intelligence should be
brought at the edge of the network through edge computing. Substation architecture needs to manage both data and energy and enable monitoring, control, and prediction at the edge of the network.
Digital Workplace
Utilites have two distinct types of workforce; thsoe that are mobile field workers either at the plant or supporring distribution networks, and those that are traditionally office based, such as billing or customer management. Analysis suggests that 57% of workers can work from home or in a hybrid model [1].
A modern collaborative digital workplace is critical to a remotely located workforce. It ranges from access to HR applications and core business applications to e-mail, instant messaging and enterprise social media tools and virtual meeting tools.
Equipping field workers with mobile IoT sensors, analytics and wearable technology could facilitate a more effective execution of work activities, achieving new levels of operational performance and safety.
Internet of Things & Industry 4.0
The Utilities industry has deployed remote monitoring technology for many years including operational technology (OT) such as Supervisory Control and Data Acquisition (SCADA) systems. While many distribution utilities have deployed IoT-based solutions at scale, significant challenges to get full value from deployments remain. The greatest challenges are communications (reliability, bandwidth and latency) and cybersecurity. The industry continues to expand the use of IoT including: smart metering, demand management, predictive maintenance, logistics optimisation, inventory management, production optimisation, leak detection, remote site monitoring, real-time shipment tracking, carbon emissions measurement, and workforce safety.
Distribution utilities have always faced a cost-versus-coverage challenge with respect to inspection of linear assets in the field. With an aging infrastructure, the risks associated with this challenge have been rising significantly. Going forward, helicopters and on-foot inspection are replaced with drones, which are not only highly economical, but also eliminate risks to crew safety.
Once Utilities companies have captured the data from physical assets they can replicate
physical equipment or real-world processes in a virtual environment using digital twins, companies are able to make faster and better decisions. Digital twin use cases can help companies optimise the following: capital expenditure reduction, outage management, grid resilience, demand management, health, safety, and environmental improvement.
Security, Compliance & Data Privacy
Security and data breaches are a high priority issue. Energy is a high profile industry with attack potential from criminal, political and governmental sources. Stakeholders would expect them to operate at a very high level of security and privacy, this includes identity management, data security, privacy management and cybersecurity.
By their very nature, utilities operate a geographically distributed infrastructure across many sites that makes it difficult to maintain the necessary visibility across IT and OT systems, much less correlate network activity against physical security systems, such as badge access logs and server room surveillance feeds.
This is further complicated as the industry becomes more connected, digitised and distributed it is becoming important to secure the connected energy ecosystem. For example a coordinated cyber attack on EV charging stations could have devastating impacts to a country. Devices connected to the energy system could include smart home consumer devices with limited security, or IoT devices within the grid that have very long asset lifetimes. Service providers and operators within the connected energy ecosystem need therefore to move away from trust-based models. They should instead adopt a zero-trust security model in which no identity is trusted, and all actions are validated against a set of predefined rules. This is the only means by which an ecosystem member can interact with others safely and securely.
In 2015 the power grid of Ukraine was hacked, which resulted in power outages for roughly 230,000 consumers for 1-6 hours. Further attacks on the Colonial Pipeline in the US, and the 2022 attack on the Montenegro state utility infrastructure are good examples of the threat. Concern is so high that the EU has €100m of funding, which utilities can use to strengthen their defences.
IT Governance & Management
In a period of intense digital transformation the effective management of Dev/Ops is crucial in delivering the desired change and ensuring operational resilience.
Effective management of IT assets and licences over their lifecycle is essential to good cost management.