Pregled bibliografske jedinice broj: 1096677
Benefit Assessment of Skidder Power-train Hybridization utilizing a novel Cascade Optimization Algorithm
Benefit Assessment of Skidder Power-train Hybridization utilizing a novel Cascade Optimization Algorithm // Sustainability, 12 (2020), 24; 10396, 15 doi:10.3390/su122410396 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1096677 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Benefit Assessment of Skidder Power-train Hybridization utilizing a novel Cascade Optimization Algorithm
Autori
Karlušić, Juraj ; Cipek, Mihael ; Pavković, Danijel ; Šitum, Željko ; Benić, Juraj ; Šušnjar, Marijan
Izvornik
Sustainability (2071-1050) 12
(2020), 24;
10396, 15
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Skidder ; Optimization ; Hybrid drive ; Fuel consumption
Sažetak
Over the last decade, off-road vehicles are being increasingly hybridized through power-train electrification in terms of additional electrical machine-based propulsion and battery energy storage, with the goal of achieving significant gains in fuel economy and reductions in greenhouse gases emissions. Since hybrid power-trains consist of two or more different energy sources and may be arranged in many different configurations, there are many open questions in their design and powertrain energy management control, which may have influence on the hybridized power-train purchase cost and efficiency. The paper presents a simple backward optimization models of conventional and hybrid cable skidder powertrain. The models are then used in control variables optimization over one forest path in order to find the minimum possible fuel consumption. The optimization results show that 15% fuel efficiency improvement in winching and skid trail driving can be achieved with the selected hybrid powertrain. With that improvement, main hybrid drive components can be paid off in 13 years and if achieved efficiency improvement can be carried throughout all skidder’s operations pay off time is reduced to 44 months.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Strojarstvo, Šumarstvo
POVEZANOST RADA
Ustanove:
Fakultet šumarstva i drvne tehnologije,
Fakultet strojarstva i brodogradnje, Zagreb
Profili:
Mihael Cipek
(autor)
Danijel Pavković
(autor)
Juraj Benić
(autor)
Marijan Šušnjar
(autor)
Željko Šitum
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- Social Science Citation Index (SSCI)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus