Energy Funds

Renewable energy sources, due to their lower production capacities and instability, struggle to compete with predictable conventional energy. A challenge may also be the fragmentation of a young, growing sector, for which it is more difficult to compete with large energy corporations. The development of the former, however, is definitely more dynamic and gives prospects for the creation of a decentralized model of energy development in the future. This process may accelerate the implementation of solutions based on Blockchain technology.

Because of their limitations, renewable energy producers should see their chances in forming favorable alliances and partner business development, along with other producers. Grouping renewable energy sources to create larger, more stable entities can contribute to increasing the competitiveness of RES. Blockchain fits well with this task, which allows small energy producers to be transferred to a different level of doing business. Smart Contracts can be a beginning of the creation of small energy corporations with their own constitutions, shareholding, and distribution of profit. Acting as a group means new business opportunities associated with the sale of energy available to large energy corporations. Benefits can be achieved by establishing cooperation by entities with a complementary production profile, or industrial plants with flexible energy demand. Such a combination reduces the risk related to the uncertainty of energy production by internal balancing of its production by the entities forming the group. Acting as a small energy corporation means a stronger position in the market that helps in obtaining more favorable prices from suppliers. A group with a nominal power of several hundred MW has a stronger negotiating position than a single small wind farm. The main challenges that stand in the way of creating groups of renewable energy producers are the issues of trust in their partners. A Smart Contract also fulfills its task in this area, without breaking the terms of the contract. Thanks to this cooperation of entities is transparent and automated. Also, the distribution of profits and the conditions of the group’s functioning are carried out autonomously. Breaking a barrier related to establishing cooperation in their sector may be a beginning of the creation of new small autonomous energy corporations that will be able to offer their energy directly to recipients. Energy sales through Blockchain can also take place in the form of a peer-to-peer, i.e. bypassing transaction agents. Opening up to technologies is the beginning of a decentralized autonomous energy system consisting of groups of energy suppliers and small energy corporations establishing direct cooperation with their clients.

The Drying Technology

Application Model of the Drying Process

The Application Model of the Drying Process (AMDP)Drying analysis is a physical model of the drying process enumerating (estimating) the current humidity of the dried substance based on the measurement data of physical parameters of the drying agent (eg air) obtained at the inlet and outlet of the drying chamber. The current configuration – The Model is designed for the drying systems based on tight drying chambers (eg Glatt type) where the process runs dynamically in the flow of the drying agent. The measured physical quantities necessary for the proper operation of the model are the temperature and humidity of the drying agent and the size of its flow.

The operation of the model is based on the analysis of the change in the content of the agent removed from the dried substance in the stream of the drying agent.

The Advantages of the Model:

– great versatility allowing it to adapt to different ways of carrying out the drying process

– the ability to work with dynamic drying systems where the flow rate of the drying agent reaches several thousand cubic meters per hour thanks to the correction mechanism of systematic measurement errors of humidity sensors resulting from their measurement inertia

– the possibility of extending its current control functionality to monitor and control

The model has been successfully implemented to operate in TEVA Kutno S.A. and cooperates there with the Glatt granulomats, supervising the drying process of pharmaceutical granulates.

Aby osiągnąć jak najlepszy efekt kontroli procesu suszenia oferujemy także przeprowadzenie jego audyt w celu określenia optymalnego zestawu czujników i ich rozmieszczenia oraz zestrojenia ich z Modelem.

In order to achieve the best effect of controlling of the drying process, we also offer an audit to determine the optimal set of sensors and their placement and align them with the Model.

Model suszenia

15% threshold in the RES Act

The calculations carried out by the DCAD research team (expert opinion) at the request of PWEA contributed to the introduction of a 15% safety margin in the amount of the declared generation size on energy shares introduced as a new support mechanism in the new Act on Renewable Energy in Poland. This provision results in the lack of calculation of penalties for green energy producers who will produce no less than 85% of what they declared at the auction.