Navigant Research Blog

Utilities Must Take a Pragmatic Approach to the Energy Transformation

— July 27, 2017

Few will dispute the fact that the industry is undergoing significant change. The shift to clean and distributed energy sources and the adoption of EVs will force significant changes to the way distribution companies run their businesses. However, much of what is written on business transformation can be high level. If everything that is written on the subject is to be believed, then there are huge utility transformation projects occurring across the world. While there is certainly a lot of activity, projects are typically targeted at specific areas rather than businesswide.

Transform Business Models via Planning

As discussed in Navigant Research’s Distribution Utility Transformation Strategies report, which highlights some of the leading examples of business model transformation within distribution networks, transformation does not happen overnight. Rather, it is a decade-long process that requires careful planning and a staged approach. There are many different drivers for transformation, including increasing competition, business process efficiency improvements, a renewed focus on customer experience, new product and service development, and the incorporation of distributed energy resources (DER). These drivers will affect utilities in different ways; the most striking difference is between competitive and monopoly markets.

Create a Vision for the Future

One key takeaway is that as with any large-scale project, utilities must set out a vision for their future businesses and a roadmap detailing how to achieve this goal. Companies cannot do everything all at once, so they must place their bets wisely and invest in projects that deliver the biggest returns. In addition, organizations cannot underestimate the contribution a strong stakeholder engagement program can make to a project’s success.

Develop an Actionable Roadmap

As a result, each utility’s transformation will be different and will happen at different times—and at different rates. Digital Utility Transformation Best Practices builds on some of the recommendations provided in Navigant Consulting’s “Energy Cloud Playbook” to offer best practices for creating an actionable roadmap for transformation. Most utilities will not be able to avoid the inevitable forever. Therefore, they must plan now for their future businesses. The right strategy will help utilities navigate political uncertainty; manage market-specific regulatory policies; access project finance from skeptical and conservative shareholders; and confront legacy issues such as corporate culture, a lack of skills, and outdated technologies.

The latest reports published in Navigant Research’s Digital Utility Strategies Research Service provide specific details on different utilities’ transformation projects. They discuss and compare initiatives in California, New York, the United Kingdom, Italy, and Australia while also providing some practical advice to organizations embarking on their own transformation projects.

 

The Future of Analytics in the Utilities Industry Lies in Strong Partnerships

— July 18, 2017

The utilities industry presents some unique issues for analytics specialist SAS, as I witnessed during a recent analyst event. The industry is no stranger to large volumes of data or analytics, and as it undergoes a digital transformation, it should present a huge opportunity. However, the industry’s approach to the procurement of analytics means that there are few low hanging fruit, and SAS must work hard if it is to dominate utility-focused analytics.

In its favor, SAS is unquestionably a market leader and continues to remain one step ahead of its competition. It is investing heavily in four areas, all of which will resonate with utilities’ changing requirements:

  • Platforms: In a similar vein to virtually every other enterprise data vendor, SAS is making a big bet on data platforms. While many will struggle to differentiate, SAS’ strength comes from its experience in data preparation, an area that many fail to discuss in detail. SAS’ strategy for its Viya product is to provide different types of user access to any type of data, from any source, using the most appropriate user interface.
  • Harness artificial intelligence (AI) and machine learning: Over the last couple of years, during which AI hype has hit peak volume, SAS has been relatively conservative. It is focusing more on machine learning and the benefits of massive compute—how analysts can interface with SAS in new ways, on new devices, using the most up-to-date algorithms.
  • Internet of Things (IoT). SAS wants companies to be smarter about their IoT data analytics. It discussed at length its partnership with Cisco—to embed SAS analytics within smart routers—which will take analytics to “the edge” much closer to the devices where the data is stored. It also promoted its event stream processing tool and announced the recent addition of Event Stream Manager.
  • Cloud analytics: Finally, SAS is investing heavily in cloud-based analytics, which will be increasingly important for utilities as their digital journeys mature. It is also important to note that SAS wants to offer a flexible approach to where analytics is performed. Cloud is just one option, among on-premise, in-database, in-stream, or in Hadoop.

SAS has a market-leading set of analytics products, it is investing in all of the areas utilities would want, and is not shy about discussing the issue of data governance. These are all messages that should resonate well with utilities. But should it expect a rich harvest of low hanging fruit in the utility orchard? In short, no. The biggest barrier SAS will face is utilities’ historic approach to analytics procurement, which is heavily siloed and task-specific.

Future Opportunities Lie in Partnerships

Many of the future opportunities for analytics within utilities lie in operations, where SAS has not historically had a strength. Operations typically procure analytics for a specific task, from a vendor with deep knowledge of the technical issues, but lacking the robust analytics engine SAS brings.

The answer for SAS lies in partnerships. SAS will never compete with large engineering companies for industry knowledge; likewise, these companies will never compete with SAS in terms of analytic capability. Unsurprisingly, SAS has begun conversations with all the global engineering companies. However, these conversations are at an early stage. Digitization and analytics will help utilities address their most pressing concerns: to improve operational efficiency, maximize customer experience and develop new products. The market needs a robust analytics platforms and algorithms designed by industry specialists. The market needs these partnerships sooner rather than later.

 

Transactive Future of 2030

— May 2, 2017

The power industry is just a couple of years into the most disruptive decade in its history. Industry transformation is a topic Navigant Research returns to on a regular basis in blogs. We often discuss the current issues regarding a particular technology, but we also discuss what the industry will look like at the end of this transformation.

The recently published report Defining the Digital Future of Utilities takes a look into the future and discusses how the utility industry might operate under an aggressive Energy Cloud scenario in 2030. In that scenario, there are ubiquitous distributed energy resources (DER)—in particular, solar PV, electricity storage, and EVs. In addition, residential prosumers are able to sell their excess generation on an open platform at market prices.

Transactive Energy Is Customer Centric

A fully transactive energy system could not look more different compared to the utility business model of just a few years ago. The biggest difference is that the balance of power in the energy value chain shifts to the point of consumption. By 2030, customers will sit at the heart of the electricity value chain. The old supply model is likely to be replaced by a combination of services developed to aid self-consumption and maximize returns on DER investments. While grid-sourced electricity supply is still required, customers’ electricity requirements are mostly met via their own PV and storage. Demand for grid-sourced power is significantly reduced (though it still increases dramatically when solar production stops in evenings).

Today’s supply-based business model is significantly disrupted: with every PV installation, the need for grid-sourced power diminishes. And when prosumers can sell their self-generated power onto open markets, they will compete against large-scale generators. Not every customer will want every kind of technology, service, or tariff. Consequently, the 2030 business model will be based on service offerings that meet each customer’s specific needs.

New competitive energy service providers will compete for customers with transactive energy services that optimize a customer’s returns from their DER investments. There will be significant areas for differentiation and a variety of service offerings. Many of these will be offered in regions where incumbent utilities currently enjoy the protection from a monopoly market. Only a small proportion of potential revenue will come from grid-sourced power supply; all the rest is up for grabs.

Adaptation Grows Ever More Crucial for Utilities

Incumbent utilities really are facing an adapt-or-die decision. Whoever owns the customer relationship will lay claim to the majority of value on offer. Some utilities are already investigating new service-based business models and trialing transactive energy platforms, although many are not. Those incumbents that resist the current transformation or complacently believe it will not affect their current business models could be in for a shock. Falling solar and storage prices strengthen the economic case for residential DER; the ability to sell electricity at market prices could replace existing feed-in tariffs. These are compelling arguments for transactive energy. A refusal to react to the requirements of the 21st century energy industry will see at least some utilities vacillate their way into extinction.

 

SAP to Resell Siemens’ MDM on Its HANA Platform

— April 14, 2017

The Announcement Is a Change in Direction for SAP

SAP has historically maintained an arm’s length distance from meter data management (MDM), which is responsible for the collection, storage, and processing of smart meter data. I have always been puzzled by SAP’s approach. The company’s IS-U product set is the undisputed leader in the utility billing software market, so its lack of enthusiasm for a complementary MDM system was surprising. A SAP MDM would allow for seamless integration from the communications headend system to the bill.

SAP has historically preferred a partnership strategy with various MDM vendors, working to ensure integration between its MDM systems and IS-U via its SAP AMI Integration for Utilities module. However, at its 2017 International Conference for Utilities, SAP announced SAP Meter Data Management by Siemens. Launching in 2Q 2017, the deal effectively makes SAP a reseller of Siemens’ EnergyIP MDM system. SAP and Siemens said they will align roadmaps to ensure the product evolves with utilities’ changing requirements.

SAP’s Drive to Sell HANA Is Behind This Change in Strategy

There are numerous drivers for this strategy. First, there is a convincing commercial argument. SAP’s reticence came at a time where it had no database product in its portfolio. Fast forward 7 years and SAP is now heavily promoting its in-memory database, HANA. MDM running on HANA is a compelling proposition for SAP.

SAP and Siemens also share similar visions for their go-to-market strategies. Both companies see a future with greater IT/OT convergence, where cloud-based integration of data from multiple sources allows for access across an organization.

A Match Made in Heaven?

SAP’s dominance in IT makes it an attractive partner for Siemens. Conversely, Siemens’ strategy to expand the functional scope of its EnergyIP MDM aligns with SAP’s HANA Cloud Platform (HCP) vision. Siemens intends to develop a highly scalable platform that collects and stores time series data from multiple types of connected devices, including wind turbines, EVs, solar PV, submeters, and other Internet of Things (IoT) devices. SAP wants HCP to be the platform of choice for this type of data.

At launch, SAP Meter Data Management by Siemens will be an on-premise solution. Yet, the roadmap includes integration with SAP’s Cloud for Energy to make EnergyIP fully compatible with HANA and a cloud-based MDM solution.

The choice of Siemens as SAP’s MDM partner is a no brainer. There is enormous potential to add value by creating non-conflicting use cases for its products—and the potential to reduce costs and complexity for clients.

Jemena Plots MDM’s Inexorable Path to the Cloud

Midsize Australian utility Jemena has been working with SAP as a development partner for MDM in HCP, and it has been running a project since 2016. With limited funds and no internal data scientists, Jemena historically struggled to open up its smart meter data across its business. As a result, users exported data from its MDM system into Excel for analysis.

The company wants to become more customer-focused and needed a way to use existing company data to create new business cases. For example, Jemena lacked the tools for marketing to create customer segmentations from consumption profiles or for engineers to profile transformer loads.

Now Jemena’s advanced metering infrastructure (AMI) data is uploaded to HCP from its MDM, allowing access across its business. As a cloud-based model, it offered what Jemena called a very low cost of entry into the world of meter analytics. Eventually, Jemena wants to intake AMI data directly into HCP, where it will perform data validation.

Jemena’s use of HCP for MDM is separate from the SAP/Siemens announcement. However, it provides insight into MDM’s seemingly inexorable move to the cloud.

 

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