Unaprijeđeni model izračuna emisija na temelju tipičnih zapisa o letu

master's thesis

• Title (english): Improved model for calculation of emissions based on typical flight records
• Author: Vjekoslav Sraga
• Mentor: Zoran Lulić (mentor)
• Committee member: Milan Vrdoljak (predsjednik povjerenstva)
• Committee member: Josip Stepanić (član povjerenstva)
• Committee member: Darko Ivančević (član povjerenstva)
• Committee member: Zoran Lulić (član povjerenstva)
• Committee member: Milan Vujanović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2018-12-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Aviation, Rocket and Space Technology

Abstract

Emisije štetnih tvari prate se nacionalnim godišnjim inventarom emisija. Procijene emisija izvode se osnovnim ili naprednim metodama, ovisno o dostupnim podacima o aktivnostima izvora štetnih tvari. Emisije štetnih tvari iz motora zrakoplova generalne avijacije prate se osnovnim metodama isključivo na temelju podataka o prodaji goriva bez informacija o stvarnom načinu eksploatacije zrakoplova. U teorijskom dijelu predstavljena su trenutna dostignuća u ovom području te dostupni podaci koji se mogu koristiti za izračun emisija. Ulazni podaci uključuju informacije o aktivnosti i načinu upotrebe zrakoplova te dostupne emisijske faktore. Ovim radom osmišljena su dva unaprijeđena modela prikupljanja i obrade podataka na temelju najviše razine (Tier 3) procjene emisija štetnih tvari. Modeli implementacijom u program Excel dosljedno i brzo automatski obrađuju veliki broj zapisa, a ulazni podaci mogu biti u obliku dnevnika letenja s osnovnim informacijama o letu ili zapis cijele putanje leta za detaljnije analize. Moguće je prilagoditi parametre u izračunu, a rezultati se prikazuju interaktivnim grafovima s mogućnošću naprednog filtriranja i sortiranja. Modeli su verificirani na 3 vrste letova, a rezultati su uspoređeni s osnovnim modelom procjene emisija štetnih tvari.

Abstract (english)

Accounting of pollutants discharged into the atmosphere is done by national yearly emission inventory. Emissions are estimated by basic or advanced methods, which depends on available activity data of emission sources. Emissions from the general aviation aircraft are estimated only by basic methods which estimate emissions from fuel consumption without additional information on actual usage of the aircraft. The theoretical section presents current achievements in this area and available data which can be used to calculate emissions. Input data include information on the activities and mode of operation of the aircraft and available emission factors. This work includes two improved models for the data collection and analysis based on the highest level of the emissions estimation (Tier 3). Models are implemented in Excel program which consistently and quickly process a large number of records, and input data can be in the form of the flight logs with basic flight information or a record of the entire flight path for more detailed analysis. In Excel program, it is possible to customize the parameters of the calculation and results are displayed in an interactive graphs with advanced filtering and sorting capabilities. Models are verified on 3 types of flights and the results are compared with the basic model of emissions estimation.

• Keywords: emisije štetnih tvari; generalna avijacija; motori s unutarnjim izgaranjem; big data; model procjene emisija
• Keywords (english): emissions of air pollutants; general aviation; internal combustion engines; big data; model of emissions estimation
• Language: croatian
• URN:NBN: urn:nbn:hr:235:554632
• Study programme: Title: Aeronautical Studies; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka zrakoplovnog inženjerstva (magistar/magistra inženjer/inženjerka zrakoplovnog inženjerstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access; Embargo expiration date: 2020-12-4
• Created on: 2019-05-28 09:47:38