GitHub - SimBruno/HeatNetworkOptimization: Industrial Energy System Optimization of a Dairy Factory - Graduate Research Project · GitHub
Skip to content

SimBruno/HeatNetworkOptimization

Folders and files

Repository files navigation

Industrial Dairy Factory – Energy & Exergy Optimization (Graduate Research Project)

Overview

Graduate research project (EPFL, Fall 2023) analyzing and optimizing the energy and environmental performance of a dairy processing facility.
The work combined thermodynamic modeling, exergy analysis, heat recovery design, pinch analysis, and utility integration to identify cost-saving and decarbonization opportunities.

Core question:

How can an industrial dairy factory reduce energy costs and exergy losses while integrating circular-economy co-products (e.g., Rivella from whey, biogas from sludge)?


Methods (pipeline)

1) Thermodynamic modeling & process description

  • Computed heat and mass balances for all major sections: pasteurization, evaporation, drum dryers, Cleaning-in-Place, cold storage, hot water generation, and wastewater/sludge handling.
  • Established flow properties as a basis for exergy and energy analyses.

2) Energy & exergy analysis

  • Exergy losses were quantified across subsystems, with pasteurization and evaporation identified as major inefficiencies.
  • An energy bill was calculated for both France and Germany, yielding OPEX of 1.43 M€/yr and 1.68 M€/yr, respectively.

3) Heat recovery

  • Optimized minimum temperature differences in heat exchangers to improve efficiency.
  • Evaluated additional heat recovery in pasteurization and Cleaning-in-Place processes.
  • Found modest OPEX reductions, with country-specific differences in feasibility.

4) Pinch analysis & Heat Exchanger Network (HEN) design

  • Constructed hot/cold composite curves and the grand composite curve.
  • Determined minimum energy requirement (15,873 kW), maximum recovery potential (27,013 kW), and pinch temperature (67 °C).
  • Designed HEN using path and loop methods:
    • Path → reduced CAPEX, increased OPEX
    • Loop → increased CAPEX, reduced OPEX

5) Utility integration

  • Modeled alternative technology mixes with Rosmose: cooling tower, boiler, cogeneration engine, heat pump, and refrigeration.
  • Integrated utilities with the grand composite curve to minimize exergy losses.
  • Identified optimal configuration: cogeneration engine + HP + refrigeration + cooling tower, with no boiler required.

6) Co-product valorization (circular economy)

  • Rivella production: converting whey into a beverage co-product → halved utilities installation costs via increased revenue.
  • Biogas production: digestion of whey and sludge → low financial returns, limited impact on costs.
  • Combined Rivella + Digester scenario showed Rivella as the dominant value-adding option.

Results

  • Large exergy losses in pasteurization and evaporation highlight need for efficiency improvements.
  • Heat recovery and HEN design yielded moderate OPEX reductions but were sensitive to process configurations.
  • Utility integration showed boilers unnecessary; cogeneration and HPs are more effective.
  • Rivella co-production strongly reduced TOTEX via new revenue streams, while biogas had negligible effect.
  • Final recommendation: Collaborate with Rivella and implement optimized energy conversion technologies.

About

Industrial Energy System Optimization of a Dairy Factory - Graduate Research Project

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

Contributors