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If You Build It, They May Come: Solving for Customer Experience in TE Platforms

Nov 16, 2017

The utility customer of the future lives at the center of an ecosystem of networked and largely automated smart devices. Their household is within their preferred temperature range whenever they are at home; their EV charges when electricity prices are cheapest and is always ready for the morning commute; and they store any surplus electricity generated by their rooftop PV or, if the price is right, sell it in a digital market. Every decision made by each of these devices is a data point used by different service providers to refine and optimize customers’ distributed energy resources (DER) and integrate them with wider grid processes.

Transactive energy (TE) platforms will underpin tomorrow’s consumer energy market. The interface between energy producers and consumers, TE platforms allow parties to interact with one another in an open market while ensuring the needs of end users and the grid are met. These platforms will incorporate multiple technologies—including blockchain and machine learning—which have attracted a great deal of interest from the energy industry. But what should the consumer experience with TE platforms look like in practice?

TE Platforms Must Balance Grid Needs, User Preferences, and Ease-of-Use

TE service providers must supply an appealing product that creates value out of the box while providing options for users who are more hands-on. Optimizing household energy consumption to minimize costs requires a multitude of forecasts, calculations, and decisions. Since electricity bills in the US average around $115 per month, or 0.2% of the median household income ($55,000), the typical consumer has little incentive to manage these processes themselves.

Grid+, a technology startup and TE platform provider, solves this problem by supplying users with intelligent agents—hubs that integrate price signals, user preferences, and grid needs to coordinate a household's smart device (TransActive Grid and Grid Singularity have a similar approach). While some user preferences may be set manually (e.g., preferred temperature range), most will be automated based on analyses of user behavior (e.g., heating the house prior to the customer’s return from work). The user decides their preferred balance of comfort and profits and they need only supply the agent with enough currency to pay bills and execute the necessary transactions on their behalf. All transactions are recorded rapidly and securely on a blockchain.

Thinking with Portals

Aspiring platform providers must devote as much attention to the end-user experience as they do to their platforms’ underlying technology. Customers balance their own comfort levels, convenience, financial costs and profits, and societal or ethical goals when making decisions about electricity consumption. Automation and machine learning solutions have the technological capability to deliver on that balance, but optimizing behind the scenes won't be enough to inspire consumer trust or purchasing power.

The reality is that the Energy Cloud customer won't care whether their platform rests on blockchain or a centralized database or a traditional billing system. They’ll care about outcomes and will need on-demand access to a portal that elegantly consolidates and visualizes their Internet of Things (IoT) ecosystem’s performance: What are their profits from selling power to the neighbors? How well is their PV system performing and have they paid off the install costs? How efficient is their home? Positive, confident results will drive further investment into the platforms themselves (so might friendly rivalries between local users).

For TE platform providers, competition for users will be fierce, and consumers will have their pick of platforms vying for their attention. The TE leaders in the Energy Cloud future may not have the most advanced technology, but they will have a blend of technology, functionality, user interface design, and perhaps gamification that creates an attractive and compelling user experience.