Ennowell Co., Ltd.
Ennowell Co., Ltd a subsidiary of the Ennoconn Group established in June 2022, integrates the hardware advantage of Ennoconn and more than 20 years of experience in light-current equipment and system integration to build a whole new intelligent cloud platform of buildings. We are aimed at enhancing building performance and reducing carbon emissions by offering intelligent building, carbon reduction management, and cloud service solutions for various enterprises. By integrating both software and hardware, with cloud-based service, we are able to help clients manage electric, lighting, air conditioning, and water resource with visualization and with Google Cloud AI to predict and optimize energy expenditure to achieve energy saving; it’s Ennowell’s vision - collaborating with ecosystem partners to implement constructed a green supply chain.
Our Service
■ Existing Building Intellectualized
■ Energy Conservation Solution
■ Carbon Reduction Program
■ Cloud Platform Service
Our Advantage
■ Extensive experience in engineering
■ Technology development capability
■ Vertical integration Ability in software
■ High-quality After-sales Service
Our Achievements
■ The New Taipei City Hall Automation Integration Complex with the Establishment of EMS
■ Taipei Nangang Depot Public Housing Development Intelligent application
■ Taichung City Government Established an energy management center
■ The Taipei City Hall integration with protection and central control system
Intelligent Energy Conservation Solution
Solution Description
With the rising tides of global sustainable development and the transformation in energy policy, Ennowell breaks borderline among different devices, allowing our customers quickly recognize energy consumption and equipment health to establish plans for further carbon footprint verification.
Ennowell also provides timely monitoring consumption in energy, power, and equipment detection, with the capability of analyzing power consumption records to establish energy consumption modules. We also provide recommendations for energy-saving and usage optimization, based on Google Cloud AI and ML, to enhance efficiency in energy management.