Infographic: Energy consumption in industry

Submitted by Mariane Gonçalves on Thu, 05/24/2018 - 20:54
See data in the infographic on energy consumption in industries and consumption management as an ally for energy efficiency in operations.

The Viridis energy and utilities management platform provides features to directly support the routine of monitoring energy consumption of large industrial operations, as well as initiatives to increase energy efficiency. The monitoring functions allow the identification of opportunities for improvement in processes, stratifying the consumption of electricity according to various dimensions, and allowing the calculation of cost gains and, considering opportunities for diversification of the energy matrix, reduction of equivalent emissions. Electricity-intensive industries are intensely exposed to the volatility of energy prices, in both the short and long term. The acquisition of electricity in free market for energy – based on demand levels, seasonality, and other parameters of interest – therefore depends on a good degree of predictability of consumption levels and future prices. The Viridis platform naturally integrates consumption data collected in real time with prediction models of future consumption for different price scenarios, facilitating the management of procurement contracts and thus promoting end-to-end efficiency: from factory floor processes to complete management of the energy and utilities function. Learn more about our products.


The role of digital twins in energy and utilities management

Submitted by Victor de Souza on Wed, 02/07/2018 - 17:45
Understand how the creation of digital twins can help reduce operating costs and improve the efficiency of processes in industry.

The Viridis platform is extensively based on the concepts of the Internet of Things, Big Data, and Industry 4.0, as it is capable of capturing, storing and processing large volumes of data on the consumption of energy and utilities of any operational unit, whether a specific machine or a production process as a whole. These data, combined with information about the context in which they were recorded (production plans, process variables, operational parameters, among others), makes possible, using the techniques of Machine Learning, the construction of predictive models that are combined to create a digital representation of that asset – a digital twin. The large integration capacity of the platform facilitates the capture of relevant data, while its modeling and visualization capabilities make the use, interpretation, and evolution of digital twins easy, resulting in significant value creation for our clients.


Innovation, sustainability and competitiveness

Submitted by Bruno Santos Pimentel on Thu, 08/10/2017 - 14:10
The idea that innovation, sustainability and competitiveness go hand in hand is not at all new. Robert Solow i, who won the Nobel Prize in Economics in 1987, has proposed that economic growth is a function of the available labor force, accumulated capital, and a "productivity factor." Work and capital were able to produce goods (or more capital), a part of which should be reinvested in productive capacity. But work and capital presented decreasing gains in scale: that is, over time it took more work and more capital to produce ever-smaller increases in results.

Viridis products help our customers' operations become ever more efficient in the consumption of energy and utilities, which has positive impacts on the economies and communities where these operations take place – in economic and social terms, through the promotion of employment, income, and quality essential services; in environmental terms by the reduction of emissions, waste, and consumption levels of both renewable and non-renewable natural resources.