Savings potential
Article 4 of 4 · The analyses in depthHow do I analyse my organisation's energy-saving potential?
Direct answer
You analyse energy-saving potential by examining consumption, baseload, peaks, anomalies and contract context together. This reveals which part of the consumption is unnecessary and which measure delivers the most, before you invest.
- Potential underpinned with measurement data
- Opportunities ranked by impact
- Baseload and waste made visible
- Investments underpinned in advance
Assumptions versus a substantiated potential analysis
Many organisations know they can save, but not how much or where it weighs heaviest. A potential analysis therefore does not start with measures, but with the question of where consumption actually arises and which part of it is avoidable. That makes the analysis relevant to finance, facility, operations and management.
- Determine the baseload and the avoidable share per site.
- Rank savings opportunities by impact and feasibility.
- Underpin investments with measurement data instead of assumptions.
Basis
Traditional approach
Estimate based on gut feeling or rules of thumb.
Modern approach
Analysis of consumption, baseload, peaks and anomalies.
Prioritisation
Traditional approach
Measures detached from actual impact.
Modern approach
Opportunities ranked by saving and feasibility.
Decision
Traditional approach
Investing without certainty about the effect.
Modern approach
Investing with a substantiated expected result.
Where does the savings potential lie?
Start with the avoidable share: always-on consumption, an excessive baseload, unnecessary peaks and deviating sites. That is usually faster and cheaper to realise than large investments.
- Determine baseload and night consumption per site.
- Assess unnecessary peaks and contracted capacity.
- Compare deviating sites with one another.
- Link consumption to costs and tariffs.
How do you make the potential reliable?
A reliable potential rests on measurement data, not on assumptions. Quarter-hour values, site comparison and consumption profiles show which part can realistically be reduced and which measure pays off most.
- Use quarter-hour data instead of annual totals.
- Separate avoidable from necessary consumption.
- Rank opportunities by impact and lead time.
- Keep measuring the effect after measures.
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