The LEAPTRAN smart sub-metering solution enables remote monitoring, storage, transfer and access of higher quality data than traditional meters. The package includes meter hardware, computation and communication device, and Leaptran in-house developed software.
LEAPTRAN was founded in 2017 and is a UTSA startup facilitated and managed by the UTSA Office of Commercialization and Innovation.
(Source: UTSA Today, 7 April, 2020) Contact: LEAPTRAN, Jeff Xu, CEO, Edward Hooks, COO, 210-643-1977, www.leaptran.com;
University of Texas at San Antonio, 210-458-4011, www.utsa.edu
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HPE expects the three-year collaboration to train machine learning models to detect anomalies so that energy efficiency issues can be predicted and prevented.
(Source: HPE, Storage Review, 18 Nov., 2019) Contact: HPE, www.hpe.com; NREL, www.nrel.gov
More Low-Carbon Energy News Hewlett Packard, Energy Efficiency, NREL ,
The subscription fee is paid for from a portion of the energy savings that are achieved.
The KBC service follows on the heels of Singapore's Energy Conservation Act mandating large industrial emitters to report greenhouse gas emissions from 2021.
The KBC measures will help Singapore achieve its pledge under the Paris Agreement on climate change to reduce emissions intensity by 36 pct from 2005 levels by 2030.
The industrial sector currently accounts for about 60 pct of Singapore's GHG emissions, according to the National Environmental Agency.
(Source: KBC Global, CAN, 22 Oct., 2018) Contact: KBC Global, +65 6735 5488, www.kbc.global
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The nine-month project will be focused on the Arbn Consult platform software which provides the ability to quickly and accurately assess the Energy Performance Certificate (EPC) rating of a commercial property, producing custom, fully costed retrofit packages for delivering improvements in energy performance. Funding for the project has been awarded by The Data Lab
As well as making the platform more scalable and robust, it is hoped that the project will make energy efficiency improvements accessible for more users. For example, a facilities manager may not have as much knowledge in this subject as an energy assessor, but the machine learning will guide them through the process and potential options, offering suggestions they may not have thought of. (Source: Arbn Consult, FutureScot, Arbn Consult, 21 Aug., 2017) Contact: Arbn Consult, www.arbnco.com
More Low-Carbon Energy News Energy Efficiency Software, Building Efficiency, Energy Efficiency,