Digital solutions

Digital solutions

Department Of
Digital Tehnologies

Energy System Modeling and Simulation: Developing sophisticated models that simulate and analyze the behavior of renewable energy systems under various scenarios and conditions. 

AI and Machine Learning for Energy Prediction: Using AI to predict energy production, demand, and consumption patterns with high accuracy, helping to optimize grid management and energy distribution. 

Climate Impact Analysis: Analyzing the impact of renewable energy adoption on climate change, helping to develop strategies that mitigate environmental risks while meeting energy needs. 


Pakalka, S.; Valančius, K.; Čiuprinskas, K.; Pum, D.; Hinteregger, M. (2017). Analysis of possibilities to use phase change materials in heat exchangers-accumulators. In 10th International conference „Environmental Engineering“. Vilnius Gediminas Technical University.

Pakalka, S., Valančius, K., & Damonskis, M. (2020). Effect of open and closed operation modes on the performance of phase change material based copper heat exchanger. In 11th International conference „Environmental Engineering“ 21-22 May 2020, Vilnius Gediminas Technical University, Lithuania (pp. 1–7). Vilnius: VGTU Press. 

J. Doneliene, V. Ulbikaite, E. Urboniene, S. Pakalka, J. Ulbikas. Structural characterization of TiO2 aerogel vs precursor type and gel aging // 18th international conference on nanosciences & nanotechnologies: 5-8 July 2021, Thessaloniki, Greece: book of abstracts. Thessaloniki : [s.n.]. 2021, p. 176. [ T 008] 

Donėlienė, Jolanta; Ulbikas, Juras; Fataraitė-Urbonienė, Eglė. Influence of synthesis and subcritical drying conditions on the porosity of TiO2 aerogel // Advanced materials and technologies: book of abstracts of 23rd international conference-school, 23-27 August 2021, Palanga, Lithuania. Kaunas : Kaunas university of technology. ISSN 2669-1930. 2021, B-P166, p. 200. [ T 008] 

Presentations at Conferences

Pakalka, S.; Donelienė, J.; Rudzikas, M.; Valančius, K.; Streckienė, G. Development and experimental investigation of full-scale phase change material thermal energy storage prototype for domestic hot water, J. Energy Storage. (2024).

Donėlienė, J.; Fataraitė-Urbonienė, E.; Danchova, N.; Gutzov, S.; Ulbikas, J.. The influence of the precursor’s nature and drying conditions on the structure, morphology, and thermal properties of TiO2 aerogels // Gels, MDPI, 2022, vol. 8, , iss. 7, art. no. 422, p. 1-16. DOI: 10.3390/gels8070422

Donėliene, J.; Fataraite-Urboniene, E.; Rudzikas, M.; Pakalka, S.; Danchova, N.; Ulbikas, J. Effect of precursor nature and sol-gel synthesis conditions on TiO2 aerogel’s structure, Molecules. 26 (2021).


Pakalka, S., Valančius, K.. Experimental investigation and prediction of charging/discharging performance of phase change material based thermal energy storage unit. Environmental and Climate Technologies, (2021)25(1), 600–609.


SMART-FLeX – Demonstration at industrial scale of the FLeXible manufacturing…

REDIGA – a spin-off company of PROTECH digital technologies department.

Digitalizing the Future
of Renewable Energy

The PROTECH‘s Department of Digital Technologies is leading the way in transforming the renewable energy sector. Our mission leverages smart module level power electronics, digital simulations and analysis to tackle critical energy challenges, aiming for a sustainable and efficient future. Our multidisciplinary team excels in data science, computer simulations, and renewable technologies, utilizing big data and AI to offer insights into renewable energy systems. This expertise supports informed decision-making for greener solutions. We are committed to driving innovation and sustainability, making significant strides towards reducing carbon emissions and enhancing global energy security. Through our efforts, we’re not just advancing technology—we’re shaping a sustainable future. 

Infrastructure & Services


Performance monitoring: temperature, power, current, meteorological impact through

Data collection, logging and analysis of tested PV modules and electronics from observed units and sensors

Simulation of different technology of PV module power, current modes under 

Validation of analytical and numerical models