Recording and determination of the waste heat loads in the entire plant near Brand-Erbisdorf

Overview

Location: Brand-Erbisdorf, Saxony, Germany
Project duration: 52 months
Production area: approx. 26.000 square meters

HÖRMANN Rawema Engineering & Consulting GmbH successfully recorded and determined the waste heat loads in the entire plant at the Brand-Erbisdorf site. The aim was to record waste heat sources transparently, quantify loads reliably and transfer the results into a waste heat register.

Project content

Sifting through and structured preparation of the existing plant lists and technical data sheets. Creation of a reliable data basis for further evaluation.

On-site recording using a thermal imaging camera

Recording of waste heat loads directly at the plant using a thermal imaging camera. Identification of relevant hotspots and verification of the documented plant data.

Visualization of waste heat sources

Processing of the results in clear presentations. Clear overview of sources, intensities and spatial distribution of waste heat.

Evaluation by plant, area and hall

Determination of waste heat output per plant, functional area and hall. Quantification of the waste heat potential of approx. 27,000 MWh/a as a basis for evaluating measures.

Transfer to the waste heat register

Structured entry of all results in the waste heat register. Ensuring the traceability and ongoing maintenance of the data.

Data supplementation and support

Support in determining additional data required for the cadastre. Coordination with specialist departments for completeness and quality assurance.

Advantages of our solution

• Transparency: Visualized results and a structured waste heat register create a clear basis for decision-making.
• Regulatory certainty: Measurement-based verification supports compliance with the Energy Efficiency Act and other requirements.
• Targeted measures: Quantified loads per plant and hall enable prioritization of efficiency and recovery projects.
• Sustainability: Identified waste heat potential promotes resource conservation and CO₂ reduction in the plant.
• Planning reliability: Clean database reduces risks and accelerates the implementation of optimization measures.
   

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