Software & AI · Commercial decision support

Production-Normalized Plant Energy Analytics Requirements Checklist

Requirements should describe the decision, control or workflow outcome that matters. For industrial energy management software, broad statements such as “easy integration” or “good reporting” should be replaced with testable acceptance criteria.

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Decision framework

What this resource helps you evaluate

plants reducing energy cost and intensity translating operating needs into a structured Industrial Energy Management Software requirements list.

Requirements should describe the decision, control or workflow outcome that matters. For industrial energy management software, broad statements such as “easy integration” or “good reporting” should be replaced with testable acceptance criteria.

What to compare first

  • Coverage of metering, normalization, baselines, alarms, energy KPIs and improvement verification
  • Integration, data ownership and reporting needed by plants reducing energy cost and intensity
  • Implementation effort, support model and total lifecycle cost
  • Security, auditability, permissions and recovery requirements
  • Evidence from a pilot using representative metered assets
  • Non-functional requirements for performance, availability, identity and data retention

Step-by-step process

  1. 01

    Map users, roles, systems, data objects and critical exceptions.

  2. 02

    Write each mandatory requirement as a testable outcome.

  3. 03

    Add volume, response-time, retention and availability assumptions where relevant.

  4. 04

    Mark each requirement as native, configured, integrated, customized or unsupported during evaluation.

  5. 05

    Carry accepted requirements into implementation testing and contract scope.

Common mistakes and risk checks

  • claiming savings from raw consumption changes without production and weather normalization.
  • Comparing headline license price without implementation, integration, migration and support cost.
  • Scoring demos instead of validating the highest-risk workflows with real data and users.

Documents and evidence to collect

  • Requirements catalogue
  • Integration and interface list
  • Data dictionary
  • Role and permission matrix
  • Acceptance-test traceability matrix

Questions to ask vendors

  • Can the vendor demonstrate metering, normalization, baselines, alarms, energy KPIs and improvement verification with our representative data?
  • Which capabilities require paid modules, services or third-party products?
  • What data can we export in a documented format if we leave?
  • What implementation work is performed by the vendor versus the customer or partner?
  • How are support response, releases, backups and security responsibilities defined?

Primary and official references

Use current official sources to validate requirements that affect your project, industry or jurisdiction.