Energy Management: From Cost to Competitive Advantage

Why Many Energy Projects Fail
Many energy optimization projects fail not due to technology, but due to a lack of a business case. Without a detailed analysis of load profiles, without peak analysis, and without a clear strategy for tariffs and procurement, projects are often overdimensioned, implemented too late, or not at all. The result: higher costs per megawatt-hour, unnecessary load peaks, and missed funding opportunities.
The right approach is a holistic one: thinking of electricity, heat, and mobility as an integrated system – data-driven, KPI-controlled, and implementable in three phases.
Six Areas of Action for Energy Optimization
1. Make Visible: Measure, Understand, Prioritize
The first step is transparency through a comprehensive measurement concept with RLM/15-minute profiles, sub-meters for main consumers, and heat load curves. From this, crucial KPIs are derived:
| KPI | Meaning |
|---|---|
| €/MWh (Electricity & Heat) | Actual energy costs |
| Peak Load (kW) | Power price driver |
| Self-consumption rate | PV utilization efficiency |
| SCOP (Heat Pump) | Heat efficiency |
| CO₂ Intensity | Regulatory risk |
2. Generate: PV, Heat Pump, Process Heat
Correct dimensioning is crucial for energy generation. PV systems should be designed for high self-consumption – not for maximum kWp output. In the heating sector, heat pumps and waste heat utilization are paramount. For procurement, a site-specific decision must be made between PPAs and the spot market.
3. Distribute: Electrical Grids and Hydraulics
Distribution must be efficient: optimization of internal grids, potentially medium voltage to reduce losses and power prices. In the heating network, buffer storage, correct temperature spread, and intelligent control are crucial. Charging infrastructure for electric vehicles requires load management for optimal charging windows.
4. Optimize: EMS, §14a, Tariff Logic
An Energy Management System (EMS) controls energy flows: avoid exporting expensive electricity, shave load peaks, prioritize energy distribution (PV → Load → Storage → Grid). Grid-serving control according to §14a EnWG should be used as an opportunity to leverage tariff advantages.
5. Store: Battery and Thermal Storage
Battery Energy Storage Systems (BESS) serve for peak shaving, bridging the PV midday peak, and optionally for emergency power supply. Thermal storage smooths load peaks in the heating network. Economic viability primarily results from improving KPIs – not from pure arbitrage.
6. Sector Coupling: Electricity ↔ Heat ↔ Mobility
Intelligent coupling of sectors maximizes efficiency: use midday PV electricity for heat pumps and cooling, bundle EV charging at the depot, use storage only selectively. In the long term, even shift schedules should be linked to energy availability.
Realistic Savings Potentials
| Industry | €/MWh Reduction | Peak Reduction | Payback |
|---|---|---|---|
| Production | 10–20 % | 15–25 % | 3–6 Years |
| Logistics | 10–18 % | 15–25 % | 3–5 Years |
With PV and depot charging, self-consumption can be increased by 20–35 percentage points.
The Roadmap: Quick-Check → Pilot → Scaling
1. Quick-Check (2 weeks, fixed price €7,900–€12,900): Analyze load profiles, identify risks, present three courses of action with payback range in a board template
2. Pilot (≤ 12 weeks, €39,000–€79,000): Implement measurement concept, implement EMS rules, monthly KPI reporting
3. Scaling Roadmap (€24,000–€49,000): Board and bank-ready plan for financing, roll-out, and governance
Decisions based on KPI and payback – not on gut feeling.
This article is based on an analysis by Frank Hummel, published on frank-hummel-consulting.de
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