Selection of a set of earthmoving equipment in the aspect minimizing the emission of CO2

Magdalena Rogalska


Department of Construction Methods and Management; Faculty of Civil Engineering and Architecture; Lublin University of Technology (Poland)
https://orcid.org/0000-0001-8408-3242

Abstract

The aim of the calculation is to allow the selection of a set of earthmoving machinery in terms of minimizing the emission of CO2. The capacity of excavators and CO2 emission of set of machines was predicted. The forecasting methods: multiple regression and neural networks were used. The analysis of autocorrelation and partial autocorrelation residuals and sensitivity analysis were performed. The MAPE errors of forecasts were calculated. The calculation example in terms of selection of machines emission of carbon dioxide on the basis of forecasting models was performed.


Keywords:

sustainable development, the performance of excavators, CO2 emissions, multiple regression, neural networks

Cieślak M. Prognozowanie gospodarcze : metody i zastosowanie. Warszawa, Wydaw. Naukowe PWN, 2001.
  Google Scholar

Kot S., Jakubowski J., Sokołowski A. Statystyka. Difin, Warszawa 2007.
  Google Scholar

Martyniak Z. Wstęp do inwentyki. Wydawnictwo Uczelniane, Kraków, 1997 s.32.
  Google Scholar

Rogalska M., Hejducki Z. Prognozowanie emisyjności CO2 koparek gąsiennicowych i samochodów samowyładowczych metodami regresji wielorakiej i sieci neuronowych. Archiwum Instytutu Inżynierii Lądowej 13 (2012) 293-298.
  Google Scholar

Rogalska M., Hejducki Z. Analiza doboru materiałów budowlanych w aspekcie zrównoważonego rozwoju. Przegląd Budowlany 2/2007
  Google Scholar


Published
2013-12-11

Cited by

Rogalska, M. (2013) “Selection of a set of earthmoving equipment in the aspect minimizing the emission of CO2”, Budownictwo i Architektura, 12(4), pp. 233–250. doi: 10.35784/bud-arch.1978.

Authors

Magdalena Rogalska 

Department of Construction Methods and Management; Faculty of Civil Engineering and Architecture; Lublin University of Technology Poland
https://orcid.org/0000-0001-8408-3242

Statistics

Abstract views: 200
PDF downloads: 107


License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Budownictwo i Architektura supports the open science program. The journal enables Open Access to their publications. Everyone can view, download and forward articles, provided that the terms of the license are respected.

Publishing of articles is possible after submitting a signed statement on the transfer of a license to the Journal.