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IDEA's specialists at NCBJ participate in a range of strategic projects. The group advises on the "City with Climate" project, helping cities transition to energy-efficient and zero-emission transportation systems. For the energy company PSE, IDEA proposes and calculates alterations to the European electricity market model to simulate the impact of new market solutions and has developed Predictive Maintenance tools for the early detection of transmission network failures. The team also contributes to the "Protecting Power Supply with Better Risk Management" project by developing risk assessment tools for extraordinary network events. For ENTSO-E, the researchers at IDEA have devised a methodology that partitions the European market area into distinct zones. Furthermore, they have identified critical elements in transmission networks and evaluated their potential consequences.
The Interdisciplinary Division for Energy Analysis (IDEA) at NCBJ develops innovative software and process solutions that emphasize cost-effectiveness, safety, and eco-friendliness. Within the realm of investment and safety, IDEA performs predictions of energy flow, identification of network critical elements, and planning of network development. This expertise provides crucial support to various sectors and entities, including the European and Polish energy industries, governmental bodies, and an array of businesses, with a particular focus on those concerned with energy security. Additionally, IDEA generates essential reports and resources designed to facilitate the development of energy-related strategies and legislation.
IDEA's team, comprising specialists from a wide spectrum of disciplines such as computer engineering, energy, electrical engineering, mathematics, physics, economics, sociology, chemistry, and construction, allows the division to cater to a broad client base and undertake a variety of projects.
IDEA’s portfolio includes:
ZEFIR: This planning tool for city or nationwide energy transition uses data from energy audits, public databases, or generic data for model objects to create a comprehensive action plan detailing the costs and effects of planned scenarios.
AURA: This tool automates tariff optimization, contractual power, and optimal PV installation sizing. AURA takes into account individual prosumer models based on actual annual profiles, evaluates individual and collective prosumer creation profitability, and determines the optimal PV installation and energy storage size in a new billing system, commonly known as net-billing.
Chronos: This intelligent system manages photovoltaic (PV) installations, prevents disconnection by stabilizing voltages, and allows remote reading of various energy parameters, enhancing data analysis, reporting, and alert definition.
aPRSP/TEP: This tool optimizes the schedule of network investments for a given planning horizon. It utilizes the NCBJ supercomputer, was created for the Polish TSO (PSE), and is employed in ongoing work.
KRAKEN: This unique tool identifies critical elements of the network through a precise topological analysis of the transmission network. Its results aid in determining which elements of the network require expansion or particular protection.
The team at IDEA has developed tools for predicting the production and prices of energy from renewable sources like photovoltaics and wind farms. Such tools assist trading operators in improving scheduling and reducing balancing market costs. Simultaneously, distribution and transmission network operators can model energy flows and anticipate potential parameter overruns.
