دانلود مقاله ISI انگلیسی شماره 102381
ترجمه فارسی عنوان مقاله

تولید سوخت زیستی مبتنی بر جنگل در کشورهای شمال اروپا: مدل سازی تخصیص بهینه

عنوان انگلیسی
Forest-based biofuel production in the Nordic countries: Modelling of optimal allocation
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
102381 2017 10 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Forest Policy and Economics, Available online 18 August 2017

ترجمه کلمات کلیدی
سوخت های زیستی، صنعت جنگل، زیست توده جنگل، کشورهای شمال اروپا، مدل تعادل جزئی تجزیه و تحلیل سناریو،
کلمات کلیدی انگلیسی
Biofuel; Forest industry; Forest biomass; Nordic countries; Partial equilibrium model; Scenario analysis;
پیش نمایش مقاله
پیش نمایش مقاله  تولید سوخت زیستی مبتنی بر جنگل در کشورهای شمال اروپا: مدل سازی تخصیص بهینه

چکیده انگلیسی

Biofuels have been promoted as a likely avenue for the future transportation energy mix. Hence, production of biofuels using lignocellulosic feedstocks, such as forest-based biomass, is expected to increase globally. Forest biomass abundance and experience with applying biomass conversion technologies gives the Nordic countries an advantage in catering to biofuel production capacity investment. Yet, given uncertainties in the techno-economic variables of biofuel conversion technologies, as well as differences between the Nordic countries in terms of labor costs, bioheat market prices and electricity and forest biomass costs and prices, it is unclear which of the Nordic countries are comparatively attractive for future investment in forest-based biofuel production capacity. In this paper, we quantify how techno-economic cost components of a novel forest-based biofuel production technology affect optimal allocation of biofuel production capacity in the Nordic countries at a regional level. We apply a scenario analysis approach using an endogenous biofuel capacity investment module in the Nordic Forest Sector Model (NFSM). In each scenario, we alter the techno-economic features of the technology and quantify total biofuel production allocation volume in each region and at a national level. We find that optimal capacity allocation is affected by the type of feedstock used in the technology and will affect existing industries dependent on forest feedstocks. Electricity selling or purchasing will have little effect on allocation because it comprises a small revenue or cost proportion. Bioheat may affect allocation, but this will depend on local demand. Finally, labor costs may affect allocation, but this will depend on the labor intensity, which changes with scale. The results are relevant for policy incentives to proliferate future forest-based biofuel production in the Nordic countries.