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Personal data
Martin János Mayer
name Martin János Mayer
name of institution Budapest University of Technology and Economics
doctoral school BME Géza Pattantyús-Ábrahám Doctoral School of Mechanical Engineering
Contact details
phone number +36 1 463-2203
Supervision
thesis supervisor Gyula Gróf
one supervisor or with co-supervisor individual
degree PhD
starting of doctoral studies 2016
date of final certificate (year,month) 2020/08
year in which degree was obtained 2021
Publications
2021

Varga Nóra, Mayer Martin János: Model-based analysis of shading losses in ground-mounted photovoltaic power plants, SOLAR ENERGY 216: pp. 428-438.
type of document: Journal paper/Article
language: English
URL 
2021

Mayer Martin János, Szilágyi Artúr, Gróf Gyula: Ecodesign of ground-mounted photovoltaic power plants: economic and environmental multi-objective optimization, JOURNAL OF CLEANER PRODUCTION 278: 123934
type of document: Journal paper/Article
language: English
URL 
2021

Mayer Martin János, Gróf Gyula: Extensive comparison of physical models for photovoltaic power forecasting, APPLIED ENERGY 283: 116239
type of document: Journal paper/Article
language: English
URL 
2020

Mayer Martin János, Gróf Gyula: Techno-economic optimization of grid-connected, ground-mounted photovoltaic power plants by genetic algorithm based on a comprehensive mathematical model, SOLAR ENERGY 202: pp. 210-226.
type of document: Journal paper/Article
number of independent citations: 4
language: English
URL 
2020

Mayer Martin János, Szilágyi Artúr, Gróf Gyula: Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm, APPLIED ENERGY 269: 115058
type of document: Journal paper/Article
number of independent citations: 15
language: English
URL 
2017

Mayer Martin János: Napelemparkok optimális méretezése, ENERGIAGAZDÁLKODÁS 58: (6) pp. 26-31.
type of document: Journal paper/Article
language: Hungarian
2016

Mayer Martin János: Model-based analysis of the viability of concentrating solar power plants, In: Manuel, Pérez Donsión (szerk.) International Conference on Renewable Energies and Power Quality (ICREPQ’16), European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ) (2016) 506
type of document: Part of book/Proceedings Paper
language: English
Full text 
2015

Mayer Martin János: Comparison of different solar energy utilization methods: photovoltaic systems and solar thermal power plants, In: Institute of Electrical and Electronics Engineers, (IEEE) (szerk.) 2015 5TH INTERNATIONAL YOUTH CONFERENCE ON ENERGY (IYCE), IEEE (2015) 7180791
type of document: Part of book/Proceedings Paper
number of independent citations: 4
language: English
URL 
2015

Mayer Martin János, Nyerges Viktor, Schróth Ádám: Investigation of Geothermal Power Generation on Abandoned Hydrocarbon Wells, In: Institute of Electrical and Electronics Engineers, (IEEE) (szerk.) 2015 5TH INTERNATIONAL YOUTH CONFERENCE ON ENERGY (IYCE), IEEE (2015) 7180820
type of document: Part of book/Proceedings Paper
number of independent citations: 4
language: English
URL 
2014

Mayer Martin János, Dán András: Complex method for performance prediction of photovoltaic systems, In: Manuel, Perez Donsion (szerk.) International Conference on Renewable Energies and Power Quality (ICREPQ’14), European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ) (2014) 542
type of document: Part of book/Proceedings Paper
language: English
Full text 
Number of independent citations to these publications:27 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
 
number of scientific publications:
 
monographs and professional books:
 
monographs/books in which chapters/sections were contributed:
 
number of independent citations to scientific publications and creative works:
 

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )