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    Tapping the goldmine of consumer energy data

    enMay 26, 2022
    What is the role of Arcadia's data platform?
    How does consumer energy data impact solar installations?
    What challenges exist in accessing energy usage data?
    Why is energy data crucial for DER optimization?
    What future uncertainties exist in energy management solutions?

    Podcast Summary

    • Unlocking consumer energy data for new opportunitiesArcadia, a community solar company, is scaling its data platform to provide energy data access to Fortune 500 companies, enabling bill savings analysis, electric vehicle charging special rates, and more.

      The access to consumer energy data is becoming increasingly important in the energy transition and is now being unlocked through new data platforms like Arcadia's ARC. This data can be used for various purposes such as analyzing bill savings for solar installations, offering special rates for electric vehicle charging, and more. Historically, no company has figured out a truly scalable business surrounding this data until recently. Arcadia, a leading community solar company, has announced a large financing round and an acquisition to build out their data platform, which currently pulls energy data from almost a third of the Fortune 500 across multiple countries. This access to energy data is crucial for the consumer energy revolution and could unlock new opportunities in the energy industry. However, it's important to note that my firm, Energy Impact Partners, is an investor in Arcadia and the company is a sponsor of this podcast. The CEO and co-founder of Arcadia, Kiran Batraju, was also interviewed in this episode.

    • Unlocking the Potential of Utility Data for New Energy CompaniesUtility data holds valuable insights for new energy companies, but historically, access has been a challenge. Traditional methods like Green Button have fallen short, leaving companies to rely on manual methods. Effective access and utilization of this data could be a game-changer for DERs and clean energy products.

      There is a vast amount of valuable energy data available within utility accounts, particularly at the distribution level, that can be used by new energy companies to provide valuable services and insights. This data includes information on energy usage, rates and tariffs, and consumer behavior. However, the challenge has been making this data easily accessible to third parties at scale. Historically, attempts like Green Button have fallen short, leaving companies to rely on manual methods like PDF printouts or estimates to gain access to energy usage data. With the increasing importance of DERs and clean energy products, the ability to access and utilize this data effectively could be a game-changer.

    • Leveraging Existing Utility Accounts for New Energy BusinessesNew energy businesses can utilize rich data from customers' existing utility accounts to optimize operations, underwrite customers, and succeed in the energy services and DER markets.

      While there have been various attempts to make utility data accessible for new energy businesses through platforms like EDI and Green Button, these efforts have fallen short due to poor customer experience, limited data availability, and weak service quality. Instead, the online digital utility accounts that customers already have with their energy providers offer a wealth of rich data that can be used to build scalable businesses. This data includes historical consumption data, interval data, and metadata about the customer. Some use cases for this data include optimizing community solar projects by allocating shares based on energy usage and underwriting customers without lengthy contracts. In essence, access to this data is foundational to the success of new energy businesses dealing with energy services and DERs.

    • Revolutionizing Energy Management with DataData enables accurate optimization of DERs like EVs and energy storage systems, improving customer experience and opening new revenue streams. Arcadia focuses on optimizing individual devices against tariff structures.

      Data is revolutionizing the energy industry by enabling more accurate and efficient optimization of energy assets. This is particularly important for distributed energy resources (DERs) such as electric vehicles (EVs) and energy storage systems, which can be optimized based on real-time distribution level rates and tariff structures. This not only allows for better customer experience but also opens up new revenue streams for companies through capacity markets and intraday arbitrage. The complexity of managing multiple devices and optimizing them against different rate structures can be consolidated into one platform, making it easier for customers to manage their energy usage. However, the future of energy management remains uncertain, with questions around the role of whole home managers and the interoperability of different devices. Arcadia is focusing on providing the necessary tools for optimizing individual devices against tariff structures, leaving the question of a single manager for the industry to figure out.

    • Optimizing energy usage with comprehensive dataTo effectively manage energy usage, companies need access to comprehensive data including utility account info and external factors like weather and carbon intensity. Accurate carbon intensity data is crucial for real-time optimization and transitioning to carbon management platforms.

      As the energy market evolves, there will be a growing need for comprehensive energy data to optimize various devices and systems against dynamic tariffs and grid conditions. While utility account data is crucial, external data such as weather and carbon intensity are also essential for real-time optimization. However, determining the most accurate carbon intensity data can be challenging due to the subjective nature of the problem and the existence of multiple sources. The ultimate goal is for companies to transition from carbon accounting to carbon management platforms, enabling enterprises to make informed decisions about reducing emissions.

    • Assessing emissions reduction impact requires granular dataAccess to high-fidelity data on grid carbon intensity, energy usage, and future demand is crucial for accurately calculating potential emissions savings and exploring alternative solutions.

      To accurately assess the emissions reduction impact of implementing various energy solutions in buildings, we need access to granular data on historical, real-time, and projected carbon intensity of the grid, energy usage, and future energy demand. This data-driven approach allows for more accurate calculations of potential savings and the exploration of alternative options like non-commodity credits, offsets, or Virtual Power Purchase Agreements (VPPA). The high fidelity data is crucial for electrification as it enables more precise decision-making, which in turn can lead to increased sales velocity and customer trust. For instance, in the solar industry, having access to granular data can help solar companies deliver more accurate savings estimates and size systems more effectively, ultimately leading to better customer satisfaction. Similarly, when considering the switch to electric vehicles (EV), having access to accurate and reliable data on the cost savings can help consumers make informed decisions and trust the long-term financial benefits of the switch.

    • Providing customers with clear data on energy savings and carbon emissions is crucial for customer satisfaction and sales in the renewable energy sector.Combining platforms like VirginNet with utility data access is a significant step towards increasing customer satisfaction and driving sales, but challenges like standardization and faster access to data remain.

      Providing customers with clear and accessible data on energy savings, carbon emissions, and utility bill information is crucial for increasing customer satisfaction (NPS), generating referrals, and driving sales in the renewable energy sector. The combination of platforms like VirginNet and access to utility data from various countries and utilities is a significant step towards achieving this goal. However, there are still challenges to overcome, such as the need for standardization in carbon intensity data, faster access to time-of-use rates, and the consolidation of utility bill accounts for businesses. As the demand for new energy products grows, utilities and regulators must prioritize exposing more data to meet customer expectations. Additionally, the future of energy consumption may include new categories of devices and technologies, making it essential to continue innovating and improving data access and transparency.

    • Managing home energy systems effectivelyFocus on optimizing significant energy consumers like heating, cooling, EVs, and storage for efficient home energy management. Arcadia aims to be the platform for managing and optimizing various devices and systems as a package, leveraging proprietary data to provide unique value to customers.

      The energy sector is expanding with the integration of various devices and systems, such as community solar, EVs, thermostats, IoT devices, batteries, and more. However, the focus should be on managing the large loads around heating, cooling, EVs, and storage effectively. The 80/20 rule applies, as these significant energy consumers make up a large portion of home energy consumption. The industry is transitioning from selling individual products to managing the entire home energy system as a package. Arcadia aims to be the platform for managing and optimizing all these devices and systems for customers. Building a moat as a data business involves various strategies, including proprietary access to data, hard work to obtain data, network effects, and algorithm-driven differentiation. For Arcadia, the focus is on leveraging device-level, distribution-level, and energy market data to provide unique value to customers.

    • Simplifying access to energy data for new energy companiesCompany offers a standardized, simplified API for new energy firms to access data from various utilities, enabling them to build and sell products in multiple locations using a single API, creating a moat in the market and unlocking potential for new business models and innovations in the energy sector.

      The company is focusing on simplifying access to energy data for new energy companies by providing a single API to access data from various utilities. This is valuable because the data models and presentations of energy data vary greatly among different utilities, making it difficult for new energy companies to access and use. By providing a standardized, simplified API, the company aims to create a moat in the market, allowing new energy companies to build and sell products in multiple locations using a single API. The company's comparison to Plaid in the fintech industry highlights the value of exposing existing data in a simpler way, and the potential for new business models and innovations in the energy sector as a result. The company's experience with solar data in the past and the demand for such data from various companies underscores the potential value and demand for their current offering.

    • Understanding historical data for future trendsProperly cleaning and presenting data leads to valuable insights and solutions, enabling companies to build better products and offer accurate forecasts, ultimately benefiting customers.

      Data, when properly cleaned, presented, and made accessible, can provide valuable insights and solutions for customers in various industries. As discussed in the podcast, Arcadia's CEO, Kiran Bhatraju, emphasizes the importance of understanding historical data and patterns to forecast future trends, particularly in the renewable energy sector. By making this data easily accessible, other companies can build their products and offer better forecasts, ultimately benefiting customers. The process of pulling and presenting existing data is crucial in today's market and can be considered a foundational step towards more advanced applications like forecasting and benchmarking.

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