Potential studies
Potential studies are carried out for existing systems and are the first phase of cooperation with our customers in many of our projects. The focus here is on process engineering and control engineering degrees of freedom in order to analyze these in process plants and make them usable in a further step.
The more detailed the available historical process data is, the more precisely identified potential can be economically evaluated and compiled in a structured report. There is also a ranking of the identified risks, the optimization period and a cost estimate for the respective measures. This creates a solid basis for decisions on further investments. The overriding aim of a potential study carried out by us is always to improve the effectiveness and efficiency of the process or system and to minimize environmental impact, operating resources and maintenance costs.
The CONENGA Group has extensive expertise in carrying out potential studies for various process engineering systems across all industries. From the food industry and the chemical industry to one of our focus areas, the energy industry, we develop solution to various problems.
With our expertise, we stand for one thing above all: the optimal interaction of process engineering, control technology and digitalization solutions. As part of the projects, we naturally also carry out all the necessary measurements of your process variables ourselves. With this background, a series of results and findings emerge that often show our customers new starting points and ensure feasible options for implementation.
Environmental friendliness and identification of potential energy savings
The potential studies help to uncover energy losses and inefficient energy use in process plants and identify specific measures to save energy.
Optimizing the energy efficiency of process plants can also have a positive impact on the environment, e.g. by reducing energy consumption and emissions.
Optimization of process engineering and improvement of control engineering
A detailed process data analysis identifies weak points and areas that can be optimized. Realizing this potential will lead to improved process control, product quality and efficiency.
The control performance is examined by analyzing the parameter settings and the vibration behavior of individual controllers. After controller tuning, process systems can be operated more dynamically, more stably and with better performance. This also leads to higher product quality and efficiency.
Increasing competitiveness
An optimized process plant with an efficient use of energy and low operating resources leads to improved product quality and thus to improved competitiveness of a company.
The diversity of potential
The exact results and findings of a potential study depend heavily on the specific conditions of the process plant. An individual analysis and expertise are required to identify specific and customized optimization options. In general, however, it can be said that the total amount of energy generated annually is the key parameter for the economic viability of measures to increase efficiency.
Because smaller energy systems often cannot keep up with the automation technology (sensors, control, process data, etc.) or the human resources of larger systems, optimization potential is rarely identified. However, if these are identified and utilized, they are often larger in percentage terms and enable
an economic optimization project. A second, more precise expert view can therefore be of great benefit.
Communication creates clarity
Clarity, traceability and trust are key success factors when carrying out potential analyses and optimization projects. In order to ensure the necessary common understanding of the plant, good communication, intensive exchange and comprehensible documentation of the process engineering relationships and possibilities are important to us. Identified potentials and their evaluation are professionally derived by our engineers, with balance sheets or simulations 
and presented in an understandable way by means of graphical representations.
Concrete requirements of cogeneration plant operatorseioperators to our potential studies
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