Draft:Energis.Cloud

Energis.Cloud is an Energy Management Software developed by Energis, a European greentech software scale-up based in Brussels, Belgium.

Originating in 2012 within Freemind Inc., Energis.Cloud has evolved into a tool designed for intelligent energy monitoring and reporting across large multi-site portfolios in business operations.

The software, created by founders Angelo Santoro, Frederic Wauters, and Lisiane Goffaux, was initially developed in response to the increasing demand for energy management.

History

Energis.Cloud's history traces back to the inception of Energis.Cloud 1.0, where its primary focus was monitoring electricity, gas, water, cooling, and heating flows.

The evolution continued with Energis.Cloud 2.0 in 2014, aligning with IPMVP standards for Measurement and Verification. , crucial in the context of Energy Performance Contracts (EPC).

In 2016, Energis.Cloud 3.0 was launched, including tools for ICP and ISO 50001 certification.

Energis SA emerged as a spin-off in 2017, concentrating on smart technologies for energy efficiency.

In 2018, the platform transformed into an all-in-one solution with the addition of the RaspICY data logger.

Subsequent releases, Energis.Cloud 5.2 and 6.1 in 2019, introduced enhanced flexibility, usability, and visualization options.

The platform further matured with versions 7.2 and 7.3 in 2020, focusing on efficient portfolio management.

The 2021 release, Energis.Cloud 8.1, featured a redesigned dashboarding and reporting tool, prioritizing user experience.

In particular, for the reporting activities that companies are obliged to follow, Energis.Cloud allows users to comply with the different reporting laws by providing a set of eApps tailored to the specific legislation.

An eApp is a pre-defined application built on top of Energis.Cloud that addresses a specific energy management need.

Some of the specific legislation that companies need to comply with are:

- Décret Tertiaire, which applies to tertiary buildings in France. As part of this legislation, companies must report on the Operat platform, the platform for collecting and monitoring energy consumption in the tertiary sector. As part of this obligation, Energis.Cloud provides an eApp to comply with the Décret Tertiaire.

- GHG Protocol, which establishes a comprehensive, globally standardised framework for measuring and managing greenhouse gas emissions from private and public sector operations, value chains and mitigation activities. As part of this commitment, Energis.Cloud provides an eApp to meet Scope 1,2 and 3 reporting requirements.

- Energy Efficiency Directive, European Directive requiring Member States to meet specific energy savings targets and to promote energy efficiency in various sectors, including industry.

Some of these eApps (eSavingsCalculator and eGuardian) use applied AI Machine Learning to identify inefficiencies in energy consumption.

For the eGuardian, AI can be used to find a model that represents usual consumption as closely as possible, to understand how much actual consumption differs from usual consumption. If there is a significant deviation between the actual consumption and the usual consumption found by machine learning, there is likely to be an abnormal event and an alarm is raised by the Energis.Cloud software.

The use of this type of AI within the Energis.Cloud software is crucial, as it makes it possible to understand how much has been saved after a site has been renovated or, more generally after a new energy-saving measure has been implemented.

In order to assess how much has been saved, it is necessary to compare how much was consumed after the installation with how much would have been consumed in the same period without the installation. The latter information is produced using Machine Learning, which looks for a model that simulates the old energy consumption (before the intervention) in the period after the intervention.

Additionally, an equation has the advantage of being easily interpreted by those who read it, rather than a black-box model that can only provide predictions.

Indeed, the use of AI in the energy sector is vast, with more and more companies implementing AI in their operations, such as General Electric, Siemens , and Schneider Electric

The most recent release, 10.3, introduced automation for mass deployment setup and a refined user interface.

More recently, Energis has developed its Energis BMS Lite, which provides energy efficiency through building optimisation using the insights from Energis.Cloud. It supports automated control of equipment such as lighting and HVAC to save energy.