In previous articles, we explored the phenomenon of deviations and the limits of balancing services (SVR). We demonstrated that relying on a single market product can be risky for operational economics. Today, we will look at the very foundation of energy management: the operational planning process. In an environment where market volatility and grid demands change by the minute, the traditional annual plan is no longer sufficient as a management tool on its own. True value does not arise from spreadsheets approved a year in advance, but from the ability to continuously respond to market developments, technology, and operational realities.
The energy management of large-scale operations, such as heating plants or industrial power plants, requires critical decisions to be made well before the final operational economics are finalized. If these decisions are based solely on historical averages or statistical predictions, a significant portion of the economic potential remains untapped. Once the technology is up and running, it is often too late to correct strategic mistakes.
Milestones That Cannot Be Undone
Complex energy technology has its own momentum. A typical example is the operation of biomass boilers or solid alternative fuel sources. Once an operator decides to commission such a facility, they must keep it in operation for an extended period—often months—for economic reasons. The decision regarding when the right moment for startup or shutdown occurs is critical. It is precisely at this moment that, in the context of the entire season, much can be gained—but also lost.
Moreover, start-up planning is not an isolated technical decision. It is closely linked to fuel logistics and the utilization of output products, such as ash or other energy products. All these connections must be contracted in advance. If analytical insight is lacking at this stage and decisions are made primarily based on intuition or historical experience, the operator risks missing the optimal price window for commodities.
A jumble of regulatory and technical constraints
Today’s energy planning resembles a chess game played within very tight constraints. Factors such as emissions caps, noise limits, and legislative limits on operating hours come into play. For example, combined heat and power (CHP) plants are often limited to a certain number of operating hours per year, after which they are financially stabilized by a pricing mechanism. Any production exceeding this limit already represents a shift into a fully market-driven environment with significantly higher economic uncertainty. Correctly assessing whether to exhaust a source’s technological and legislative potential right at the start of the year or to strategically distribute it over time is a key challenge for operational economics.
However, this choice is further complicated by site-specific factors. Stricter emission limits in urban areas or noise standards can significantly limit a machine’s output precisely when the market demands it most. This leads to technological paradoxes that a static plan cannot account for. Battery storage facilities are a case in point: During the summer months, when the prices of balancing energy are often the most attractive, batteries require intensive cooling. . However, if fan noise caused by high ambient temperatures exceeds health and safety limits, the technology’s operation may be halted entirely. Similarly, noise levels accumulate in heat pump cascades, where the installation of even a single unit can result in the entire system being denied operational approval. Planning must therefore also take into account these physical and regulatory variables, which, in various combinations, create unexpected barriers.
This entire process is governed by the company’s economic framework and its ability to manage financial reserves. The baseline for all considerations regarding minimum costs is defined by the price of heat, from which funds for repairs, reinvestment, and operations themselves are derived. Management decisions here face conflicting interests: the effort to maximize immediate revenue from energy sales versus the need to preserve the technology. Overusing equipment for short-term profit—for example, a five percent higher yield in a given year—can lead to excessive wear and tear. An experienced operator must therefore think in terms of long-term time horizons to avoid exhausting future production capacity in the pursuit of immediate results, which will cause exponentially higher losses in the long run.
Asset Management or Lifecycle Management
In the modern energy sector, asset management no longer simply means monitoring whether equipment is operational. It is a comprehensive discipline focused on real-time lifecycle and efficiency management. A fundamental prerequisite is that technical data aligns as closely as possible with reality. If an operator works with a theoretical efficiency of, say, 60%, but the actual figure is 40% due to incorrect measurements or neglected fuel and heat balances, all subsequent economic calculations are flawed from the start. A good asset manager therefore constantly verifies whether the machine is actually operating within its design parameters and whether its actual consumption corresponds to the power output.
This approach can be compared to preventive medicine. Just as a doctor monitors a patient’s blood pressure or heart rate, an asset manager performs continuous diagnostics on the technology. They monitor the chemical composition of boiler water, the tightness of the turbine unit, or the condition of the insulation. The goal is to identify deteriorating indicators before they escalate into a costly failure. Timely intervention based on data analysis makes it possible to prevent unplanned outages, which in the new energy landscape represent not only a technical problem but, above all, an immediate and significant loss of market opportunity.
Furthermore, the changing nature of the distribution system places new, often extreme demands on technology. One example is transformers installed between the 1970s and 1990s. For decades, they operated in a stable environment with minimal fluctuations. Today, however, they must respond to the volatility of renewable energy sources, which can change grid output within minutes depending on sunlight levels. Originally stable equipment is thus exposed to dynamics for which its design was often not intended. The task of asset management is to reflect this increased stress and adapt the maintenance plan and scope of operations accordingly to prevent premature depletion of the machine’s service life.
At this point, technical asset management becomes an integral part of the business strategy. While expert asset management within ORGREZ, a.s. defines the long-term framework, safe limits, and maintenance strategy, the commercial division ORGREZ TRADE translates these parameters into daily profit. These are interconnected: the technical advisor advises on how to operate the technology safely and sustainably, while the trading division achieves the specific market optimum within the limits permitted by the equipment’s technical condition. Only this integration ensures that you get the most out of your assets without jeopardizing their future operational viability.
From Planning to Scenario-Based Management
The traditional concept of an annual plan is essentially just one of many possible scenarios. In an environment with a high degree of uncertainty, however, the plan should not be a fixed dogma, but rather a continuously adjusted tool based on a broader strategy. This strategy must be built on scenario modeling: what will happen if the price of gas rises, the value of an emission allowance falls, or the price dynamics within ancillary services change. Actual management then consists of assessing how a given energy source will fare in these scenarios and how it will perform in a competitive context. Priority is given to those options that ensure stability and the ability to deliver energy on time, in the required quality, and at reasonable prices.
This approach also extends to such critical areas as planning for major overhauls. A shutdown of key technology is a process involving numerous subcontractors and fixed budgets. Nevertheless, it is essential to view these timelines through a market lens. If an analysis indicates that an energy shortage is expected during the planned period—along with exceptionally favorable pricing conditions—the operator must be able to consider postponing the shutdown, despite the logistical challenges. Consulting with a trader a month or two in advance may reveal that keeping the plant operational for a few more weeks will yield better economic results than strict adherence to the original schedule.
The Economic Impact of Daily Inaction
A frequently asked question remains: what is the actual financial impact of failing to manage daily plant operations? While a heating plant’s energy output is directly determined by the course of winter and weather conditions, there is still significant room for optimization within these parameters—room that statistical budgeting cannot capture. If an operator relies solely on historical data and fails to reflect current market developments, they expose themselves to gradual and often difficult-to-detect economic losses.
Practical experience shows that in operations lacking continuous market connectivity and where economic management is not conducted on a daily basis, a portion of the economic potential—potentially amounting to approximately 10 to 15% of revenue—remains untapped each year. These funds are not lost due to technical errors, but because of missed opportunities and slow reactions to market signals. In modern energy, stability does not mean immutability. True stability and profitability today are ensured by agility—the ability to abandon a failing plan in favor of the currently most advantageous scenario. If you view your energy system merely as a passive technological entity, you are losing money. However, if you begin to manage it as an energy asset, you gain significantly more room to optimize both operations and revenue.