Not to be defeated by the Victorian government’s Stage 3 Covid19 restrictions, Startupbootcamp decided to stream the latest Energy Australia Demo Day online. It was a bold move given that a key value of these events is the opportunity to see and meet the startup founders in person. But to the organizers’ credit, and with support from their corporate sponsors and mentors, as well as the founders themselves, it was an impressive event, and managed to connect the teams with their audience effectively.
The nine projects in the order they presented (website links embedded in the names) were:
Focused on “meeting the demands of the new solar customer”, 17TeraWatts monitors residential solar energy systems via a combination of data automation and behavioral science. It achieves this via “Bodhi 2.0”, a digital assistant for modern energy companies, designed to be the “heart and brains of home energy systems”. Once installed, it is forecast to to generate a recurring revenue stream for the 25-year life of a solar system, by delivering reporting and customer leads. At the other end, solar consumers are willing to pay for more information about, awareness of and control over their energy systems ans consumption. Currently exploring a partnership with DiUS, Bodhi 2 is also being deployed by a Victorian electricity retailer.
Another team addressing energy efficiency management, Renbloc provide a solution to help consumers by bringing transparency to the verification of renewable energy sources. For a monthly fee, it brings real-time monitoring and optimization to consumer energy consumption. Renbloc are also working with companies such as Asahi and Energy Australia to provide verification “certification”, a form of energy labelling that can be applied to a wide range of consumer products.
The founders at Machine Dream are deploying machine learning and data analytics to monitor equipment failure, by detecting defective power assets owned and managed by energy distribution networks. Using system-generated photos to train the algorithm, Machine Dream claim significant reduction in the time and cost it traditionally takes to monitor network equipment, and with higher accuracy rates. The overall effect is to enable the frequency of assessment, and the reduce the cost of assessment. Currently in trials with Ausnet to monitor the “poles and wires”, Machine Dream can also be used for other infrastructure assets such as bridges, railway tracks and roads. The team plan to offer licensing and SaaS business models to asset managers and manufacturers.
This is a customer engagement platform, delivering consumer apps for energy retailers to help their customers track retail energy bills (optimization, rewards, incentives, etc.) using customized profiles. The founders claim that customer relationships become stickier, via the low cost/low touch engagement. The team comprises a mix of creatives, energy industry experts and software developers to license client solutions which are priced on the set-up costs and the number of end users. Apparently, only 10 out of 40 energy retailers in Australia have a mobile app, and GenGame has two pilot projects with Energy Australia.
Another solution for energy efficiency, Energy Master is focused on helping corporate clients manage their utility bills. Essentially a business information platform, the application reviews consumption, taxes and fees, tariffs and off-sets, carbon reduction and water savings. It charges 0.5% of managed energy costs as a recurring fee, and does not require any hardware investment by clients. Currently running clients trials with Energy Australia.
This team is also addressing energy data analysis, but at the level of the grid, particularly at the fringe end of the distribution network. Their thesis is that consumers are not engaged, and don’t know how to understand their utility data or how to value it; meanwhile, energy companies cannot access consumer data. Positioned as a data market place between consumers and energy service providers, it offers a turnkey solution for the new breed of “digital utility” companies, and is working with DiUS and MHC to support distributors and the fringe of the grid.
Describing its solution as “intelligent nodes for distributed energy systems”, Energos is using AI for energy monitoring, management and optimization. Focused on business and industrial clients, the system can operate across multiple sites and in multiple countries, ideal for multinational corporations. Adopting a monthly subscription fee model, Energos is working with Energy Australia on a pilot solution for a business client.
Using a combination of sensors and software, the team at BEAD are delivering intelligence solutions to help building owners, managers and occupants to manage “over heating, over cooling, over lighting”. With tag lines such as “listening to your building”, and “intelligent buildings you deserve”, BEAD is aimed at telcos, smart cities and BMS & HVAC vendors. Their system analyses occupancy flow, and develops digital models of buildings to track body heat (an important consideration in the Covid19 era, as well as events such as building fires, floods and earthquakes). They also work with building insurers to deliver real-time monitoring via Blockchain and smart contracts. Claiming to deliver 30% savings in energy optimization and efficiency, BEAD is working with Energy Australia, Hydro Tasmania and Asahi.
This startup deploys Blockchain enabled apps to monitor their partners’ IoT connected hardware (batteries and container charging stations). Liquidstar is an IoT solution designed to build a “wire-less grid”, with the aim of removing diesel and methane power from communities that do not have access to grid networks. One potential use case could be in battery management for Covid19 quarantine centres.
Next week: Can we come out now?