Techno Economic Assessment of PSP Bistrica

Serbia, South East Europe
Techno Economic Assessment of PSP Bistrica

Client: Power Utility of Serbia - EPS (Serbia)

Type: Project

Finishing date: September 2021 (December 2021)

Team: Consortium Energoprojekt Hidroinženjering a.d. - EKC (Serbia); EKC team: Dusan Vlaisavljevic – Project Leader, I. Mihajlovic Vlaisavljevic, B. Lekovic, M.Kostic, D. Todorovic, B. Lutovac

The aim of the study was to conduct techno-economic assessment of PSP Bistrica and to prepare PSP project investment documentation. The performed activities included techno-economic evaluation of the PSP Bistrica with selection of optimal parameters for it (installed power and reservoir configuration). The economic benefits that can be generated from commissioning of PSP Bistrica and its operation within EPS portfolio on the wholesale and balancing markets in the future European power system till 2040 were quantified.

For this purpose, the following tasks were conducted:

  • Development of PLEXOS simulation model for EPS generation portfolio optimization on the wholesale and balancing markets.
  • European wholesale and balancing market analysis and price forecast for Serbia and neighbouring countries for the three target years – 2030, 2035 and 2040.
  • Techno-economic assessment of PSP Bistrica with selection of optimal parameters for it (installed power and reservoir configuration).

Type of services provided:

  • Development of PLEXOS simulation model for EPS generation portfolio optimization on the wholesale and balancing markets.
  • Development of energy-market simulation model of South East Europe in PLEXOS for three target years (2030, 2035 and 2040) based on relevant sources on planned generation development, grid development, demand forecasts, evolution of fuel and carbon prices.
  • European wholesale and balancing market analysis and price forecast for Serbia and neighboring countries for the three target years – 2030, 2035 and 2040.
  • Techno economic assessment of PSP Bistrica with selection of optimal parameters for it (installed power and reservoir configuration).