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Rasku Topi

Orcid -palvelun logo0000-0002-3699-0013

Beskrivning

I'm a Research Scientist and a part-time doctoral student working on Design and Operation of Energy Systems. My current work revolves around Energy System Modelling, particularly using and developing mixed-integer linear programming based Unit Commitment, Economic Dispatch, and Hydro-Thermal Scheduling models. My main research interests lie in Energy System Integration, with a focus on the coupling of power and heat sectors.

Nyckelord

Building Energy Modeling, Building Energy Management, Energy System Modeling, Power-to-Heat, Smart Energy Systems, Stochastic Programming, Demand Side Management, Mixed-Integer Linear Programming

Affiliering

Teknologiska forskningscentralen VTT Ab
Primär
2016 - nuvarande
Primär
Källa: Teknologiska forskningscentralen VTT Ab
VTT Technical Research Centre of Finland Ltd
Research Scientist
Energy
2016 - nuvarande
Källa: ORCID

Utbildning (2)

Doctoral candidate
Aalto University
Master of Science (Tech.)
Aalto University School of Science

Publikationer (11)

2024
Sensitivity of a lumped-capacitance building thermal modelling approach for energy-market-scale flexibility studies
DOI
10.3390/buildings14061614
2023
Economic model-predictive control of building heating systems using Backbone energy system modelling framework
Buildings
Öppen tillgång
DOI
10.3390/buildings13123089
Referentgranskad
Stochastic model-predictive control of district-scale building energy systems using SpineOpt
Building Simulation Conference Proceedings
Öppen tillgång
DOI
10.26868/25222708.2023.1262
Referentgranskad

Data (3)

2022
Finnish building stock forecasts for 2020, 2030, 2040, and 2050
Finnish building stock detailed RT-card structural data
Finnish building stock default structural data
Öppen tillgång

Aktiviteter och priser (5)

Expert statement on the proposed changes to EPBD in the REPowerEU plan
2022
International collaboration: Nej
Adaptive aggregation in operational modelling of energy systems
2019
International collaboration: Nej
Adaptive aggregation in operational modelling of energy systems
2019
International collaboration: Nej