Measuring up to the challenges of climate change and environmental pollution requires a combination of human creativity, technological advances, and meticulous planning one project at a time. Unfortunately, the existing stock of residential and commercial use buildings leave a lot to be desired when it comes to energy efficiency. It’s imperative that a new set of data-driven technologies take the center stage to help us rethink how we can prevent waste and decrease costs related to inefficient energy consumption in this massive segment of the world economy.
Based in Spain, Sunthalpy has been offering together systems to control and optimize essential building functions such as heating, cooling, domestic hot water, EV charging, and electrical appliances. In October 2020, Sunthalpy created the first building 100% solar/disconnected from the electricity grid, in any region of the world with an Atlantic climate thanks to its low enthalpy solar technology. As such, they are able to turn poorly insulated old buildings into environmentally friendly, cost-efficient ones, reducing their energy footprint by more than 90%, while radically improving their comfort.
Since 2011, BigML has been pioneering the machine learning software-as-a-service market. BigML’s sophisticated platform removes the complexities of machine learning so businesses can focus on what matters most, enhancing and automating decision making. BigML provides a standardized selection of robustly-engineered algorithms proven to solve real-world problems under a unified end-to-end framework that has become the foundation for a growing number of vertical solutions that bring the power of predictive insights to key operational personnel in real-time.
New Machine Learning System Ready to Unlock Breakthrough Energy Efficiencies
The two companies are now collaborating on a next generation solution that will revolutionize thermal control in buildings to usher in a new era of sustainability. The partnership will deliver a low enthalpy system with integrated machine learning that orchestrates a variety of energy devices, including heat pumps, inverters, batteries, sensors and actuators in real-time.
Sunthalpy CEO, Omar Suarez, has highlighted that energy is the foremost commodity in the world and the new alliance with BigML will allow Sunthalpy to achieve unprecedented performance levels with their proprietary technology at scale. “Thanks to this cooperation, we will not only reach our existing targets but also speed up the adoption of our control systems in the market.”
The novel control algorithms will couple electrical and thermal energy management best practices to realize unparalleled operational efficiencies that can adapt to weather patterns, changes in electricity prices and predictive maintenance schedules among other factors. Furthermore, this key collaboration will empower Sunthalpy customers to customize its energy management solutions for different types and scales of buildings they operate for better results.g., conversion of a decades old Class E building into a Net Zero one without the need to modify the original facade.
BigML CEO and Co-founder, Francisco J. Martin, has shared, “Sustainability is one of the domains where we see machine learning making great contributions in the near future. Who wouldn’t enjoy better comfort while saving energy at the same time? It’s just a matter of executing on this vision along with Sunthalpy in their upcoming projects.”
