The generation portfolio covers the interconnection of economic activities in the field of generation. It includes the power plant facility, the procurement contracts, the network transfers, together with their restrictions, and the market models (e.g. for power, control energy, steam and heat). From a generation point of view, optimization should be integrated in bid proposal, schedule creation, schedule handover and gas nomination market processes to effectively and efficiently serve the deployment of primary energy. The optimized portfolio can be inserted into generation sector business processes spanning from long-term planning (e.g. risk management) to medium-term (annual) planning right through to daily planning (day-ahead and intraday).
The generation portfolio is represented in BelVis ResOpt for optimization purposes. BelVis ResOpt automatically reaches the best possible decisions for deployment, performance and scheduling for each power plant and for the structure of the generation and distribution network systems. This leads to increased operator efficiency under a given plant and contract structure, or to increased effectiveness of the structure in the case of optimization of plant structure or structure variants.
BelVis ResOpt is capable of modelling highly complex, networked optimization scenarios, for example a bundle of complex gas procurement contracts, storage for combined heat and power and district heating supply with additional condensing power extraction, all while complying with restrictions on CO2 emissions, control energy markets and spot markets. A comprehensive optimization task, which highlights the broad variety of decision options which may arise.
The BelVis comprehensive solution for multi-commodity generation portfolios
Power plant resource optimization in the multi-commodity sector (gas, power, oil, water, emission rights, state compensation and power plant restrictions arising through combined heat and power generation) will be the central optimization task over the coming years, and BelVis ResOpt is already capable of finding resolutions for such cases.
BelVis components interact with one another perfectly. The results and specifications for optimization with BelVis ResOpt are stored in BelVis Time Series Management. From there, they may be, for example, optimally placed on the EEX market by the BelVis PFM POWER trade module in portfolio management and further processed into a form suitable for market communication (e.g. over the EEX). In the same manner, the BelVis PFM GAS trade module takes care of optimized procurement for the complex gas supplies required by a gas and steam plant.
For the public generation sector and electricity enterprises (often combined heat and power operators) in particular, KISTERS offers a closed solution for the optimized generation portfolio which provides superb results.
Benefits of power plant portfolio optimization with BelVis ResOpt
Human decision makers are no longer able to maintain an overview over highly complex and cross-linked decisions structures. For this reason, portfolio deployment managers find it difficult to reach the best decisions. At best, their optimum may reach 90%. The economic benefits of software supported power plant resource optimization thus arises from this potential of 1% - 10% cost savings or increased profit per year through software optimized decisions. These savings may be estimated through an upstream analysis phase as a return on investment (ROI) resulting from investing in a tailored KISTERS system solution. This will state profit contributions from the various deployment decision processes. Power plant optimization systems typically have an extremely short ROI.
The overall economic and ecological effect achievable through power plant optimization make the deployment of resource optimization solutions of increasing economic interest, especially in light of medium-term energy procurement price increases forcing bottlenecks (including system bottlenecks) on optimal and transparent deployment decisions.
BelVis ResOpt – powerful calculation engine and simple operation.
BelVis ResOpt is based on the extensively proven PROMETHEUS calculation engine, which solves complex power plant optimization tasks using a mathematical model of Mixed Integer Linear Programming (MILP).
PROMETHEUS has proven itself over many projects with multi-commodity tasks under operational conditions, and has become knows as VK.Power (for optimizing deployment of the virtual power plant facility) thanks to its modelling interface specifically developed for the power sector. The expanded modelling concept of BelVis ResOpt available today is open to all resource streams.
BelVis ResOpt is completely integrated into the BelVis product family, but may also be fully deployed in combination with external energy data management systems.