P
Piotr Olczak
Researcher at Polish Academy of Sciences
Publications - 38
Citations - 391
Piotr Olczak is an academic researcher from Polish Academy of Sciences. The author has contributed to research in topics: Renewable energy & Photovoltaic system. The author has an hindex of 8, co-authored 21 publications receiving 124 citations.
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Monofacial and bifacial micro PV installation as element of energy transition-the case of Poland
TL;DR: In this article, the energy gain and the associated reduction of CO2 emissions for two types of solar installation located in Poland were determined, using mono-crystalline Si-based 1st generation PV cells.
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The Comparison of Solar Energy Gaining Effectiveness between Flat Plate Collectors and Evacuated Tube Collectors with Heat Pipe: Case Study
TL;DR: In this paper, the authors compared the performance of flat plate collectors and ETCs in terms of solar energy productivity for the absorber area and showed that the use of ETC showed a much higher heat solar gain than flat plate collector.
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“My Electricity” Program Effectiveness Supporting the Development of PV Installation in Poland
TL;DR: In this article, the authors present the results of analyses aimed at identifying inequalities between provinces in the use of funds available under the My Electricity program and verifying whether these inequalities are getting worse and whether the intensity of support should not be territorially conditioned in terms of maximization an electricity production.
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Ecosystem of Environmentally Sustainable Municipal Infrastructure in Ukraine
TL;DR: In this paper, the authors analyzed the core principles of designing smart residential areas and concluded that constructing cutting-edge residential areas should involve private investments in order to avoid shadow schemes and irrational use of funds (in the Ukraine, the share of the shadow market is more than 50%).
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The Impact of Economic, Energy, and Environmental Factors on the Development of the Hydrogen Economy
TL;DR: In this article, the authors applied Spearman's correlation and a linear regression model to estimate the influence of gross domestic product, population, final energy consumption, renewable energy, and CO2 emission on chosen hydrogen indicators.