Optimized heating system reduces life cycle costs by 20%

‍

About the Project and the Challenge

META Plant II is an industrial hall project with large warehouse areas. The analysis focused specifically on the heating system of the main halls — both heat generation and heat distribution. Secondary spaces were excluded so the analysis could concentrate on the systems with the greatest economic impact.

The onboarding process for the client was simple: META provided more than 200 documents through a data room — including as-built plans, design documents, schematics, and building systems documentation, many of them in PDF format. They also defined what should be optimized, with a clear focus on cost-effectiveness and sustainability. From that point on, OPTIMUSE handled the entire analysis and optimization process.

The original design called for a heat pump combined with radiant ceiling panels operating at a 45°C supply temperature. The analysis revealed several weaknesses: a COP of only 1.9 at -10°C, 39 radiant ceiling panels required due to the low supply temperature, and an increased risk of condensation during shoulder seasons.

In practical terms, this meant excessively high upfront costs, unnecessarily high energy costs, and a system with avoidable technical risk. What was needed was a solution that combined efficiency, cost certainty, and ease of implementation.

‍

OPTIMUSE’s Data-Driven Solution Approach

Using the more than 200 documents provided, OPTIMUSE automatically created a digital twin of the heating system. On that basis, an AI-supported engine simulated and optimized three alternatives to the existing design — each with a full 25-year life cycle cost analysis. This made it possible to compare capital costs, energy costs, and total cost side by side.

The AI-supported analysis identified three optimized system alternatives to the original design:

• Baseline (existing design): Heat pump + 39 radiant ceiling panels at 45°C supply temperature
• Option 1: Heat pump + 26 radiant ceiling panels at 65°C supply temperature
• Option 2: Heat pump + industrial underfloor heating at 45°C supply temperature
• Option 3: Heat pump + air heaters at 65°C supply temperature

Of these three alternatives, Option 1 emerged as the recommended solution. It uses the same underlying concept as the original design, but improves it significantly: a more powerful heat pump, higher supply temperature, better heat distribution and 13 fewer radiant ceiling panels.

‍

Success Metrics of the Optimized Solution (Option 1)

Solution 1: 21.6% Lower Capital Costs (CAPEX)

Capital costs decrease from €347k to €272k — a savings of €75k, or 21.6%. This is not achieved by compromising performance, but by creating a better-balanced system: fewer components, lower planning complexity, and stronger overall performance.

‍

Solution 2: 18.6% Lower Annual Energy Costs

Annual energy costs decrease from €41.6k to €33.9k — a reduction of €7.7k per year. At the same time, this leads to significantly lower energy consumption and lower CO₂ emissions. The reason: the higher 65°C supply temperature distributes heat more efficiently, the more powerful heat pump operates more economically, and 26 instead of 39 radiant ceiling panels reduce overall energy demand.

‍

Solution 3: 20% Lower Life Cycle Costs (LCC)

Over 25 years, total costs fall from €1.59 million to €1.27 million — a savings of more than €315k, or 20%. And this is achieved without integrating photovoltaic power.

That makes Option 1 not only more efficient, but also the most resilient solution: it shows the lowest cost increase during operation and is the least exposed to rising energy prices.

‍

Analysis and Additional Options

Option 1 stands out not only in terms of numbers. It requires the fewest changes to the existing design, reduces construction risk, and can be transferred directly into detailed execution planning.

That is the key point: the winning solution is not the most radical alternative, but the one with the best balance of capital cost, operating cost, and implementation certainty. Option 1 is the safest investment scenario.

A closer look at the alternatives shows why Option 1 is the best choice:

Option 2 (industrial underfloor heating):
High thermal mass, but significantly more expensive upfront. It also introduces a practical risk: in industrial warehouses, the floor is routinely drilled for shelving systems, anchor points, and heavy-duty fixings. That would put an underfloor heating system at ongoing risk.

Option 3 (air heaters): An interesting concept because air heaters can maintain a consistent temperature and absorb peak loads. But the trade-off is substantial: €96k in annual energy costs and 62% higher life cycle costs. It is significantly less efficient than Option 1.

Photovoltaics as an Additional Optimization Lever

In addition to the heating system, OPTIMUSE also analyzed the impact of photovoltaic integration — another lever for reducing both operating costs and carbon footprint. The result: the cost curve becomes measurably flatter. However, the planned PV system is oversized for pure on-site self-consumption. The recommendation: add local battery storage or enable cross-site energy use across the campus to unlock the system’s full potential.

For readers searching for industrial PV self-consumption, commercial battery storage, or energy optimization for industrial halls, this adds an important layer of value: the case study shows not only which heating system performs best economically, but also how adjacent energy systems can be integrated strategically.

Conclusion and Outcome

The outcome for META Plant II is a clear, data-based decision framework for selecting the most cost-effective heating system. 21.6% lower capital costs, 18.6% lower energy costs, and 20% lower life cycle costs — all with minimal disruption to the existing design.

The effort required from the client was minimal: grant access to the data room, define the optimization goals, and receive the results. OPTIMUSE handled the rest — from digital twin creation and AI-supported optimization to the final system recommendation, optimized for both economic performance and sustainability.

‍

How much savings potential is hidden in your heating system? Find out with a data-based analysis from OPTIMUSE.

‍