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About Energy Methods

Energy Methods is a energy management software from Quad Infotech that brings complete energy management solutions for the industrial and commercial sectors. It combines MES for Steel, Process Intelligence and Awareness, and Data Science so users can effectively manage their energy consumption. Energy Methods captures all energy usage data, allowing for informed decision-making in energy efficiency and sustainability. Additionally, it supports recycling management to promote responsible resource utilization. Key capabilities: Continuous Improvement Process Enterprise Architecture MES for Steel Energy Management Recycling Management Best for: industrial and commercial users that need comprehensive solutions for energy management and improvement.

Energy Methods Details

Vendor
Quad Infotech
Year Launched
N/A
Location
Am Bogen 13, 41352 Korschenbroich, Germany
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, German, French, Spanish, Italian, Czech, Slovak, Polish, Dutch, Russian, Chinese, Portuguese, Hungarian
Users
Engineers, designers, consultants, researchers
Industries Served
Energy, Construction, Renewable Energy, Engineering
Tags
Energy management

Energy Methods's In-App Market Place

Does Energy Methods have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), CHF (CHF), JPY (¥), CAD (CA$), AUD (A$), NZD (NZ$), NOK (kr), SEK (kr), DKK (kr), PLN (zł), CZK (Kč), HUF (Ft), RUB (₽)

Pros & Cons

  • It unifies diverse data (cost, production, environment) for a complete energy performance view:
  • The platform supports continuous improvement based on the structured ISO 50001 model:
  • Advanced interfaces allow communication with any PLC, database, or production system:
  • Its modular design enables businesses to manage initial costs and scale functionality over time:
  • The system is highly scalable and configurable to fit complex industrial or commercial operations:
  • Initial setup and integration across multiple complex facilities might be time-consuming:
  • The complexity of features suggests a potentially significant software licensing or subscription cost:
  • Accuracy depends heavily on the quality of data input from various external measurement systems:
  • The system requires internal resources and expertise to fully utilize the powerful analytic tools:
  • Implementing the continuous improvement process demands substantial ongoing organizational effort:

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