Dynamic biomass potential from agricultural land

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027073%3A_____%2F20%3AN0000025" target="_blank" >RIV/00027073:_____/20:N0000025 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/20:00342541

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/abs/pii/S1364032120306079" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S1364032120306079</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.rser.2020.110319" target="_blank" >10.1016/j.rser.2020.110319</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dynamic biomass potential from agricultural land

Popis výsledku v původním jazyce

The potential of biomass from agricultural land cannot be seen as a constant value over time, but rather as a dynamic one influenced by changes in many factors and characteristics. The most important include the amount of available agricultural land, the structure of cultivated crops, allocation of energy crops, the effect of a learning curve and the impact of climate change. Our method used for determination of biomass potential is based on usage of the GIS model that includes key parameters such as soil and climatic characteristics of farming plots and expected crop yields related to them, changes in arable land, planting area, utilization of biomass, and the influence of climate change. Results from modelling different scenarios for the Czech Republic show that allocating 20% of arable land for energy crops increases biomass potential by 35%, 30 PJ (compared with current nearly 0% allocation) on a time horizon 2040. If a learning curve effect for energy crops (impact of breeding and improved agmtechnologies on biomass yields) in the range of 1.5-2.5% per year is considered, then biomass potential increases by 49% (42 PJ) in total.

Název v anglickém jazyce

Dynamic biomass potential from agricultural land

Popis výsledku anglicky

The potential of biomass from agricultural land cannot be seen as a constant value over time, but rather as a dynamic one influenced by changes in many factors and characteristics. The most important include the amount of available agricultural land, the structure of cultivated crops, allocation of energy crops, the effect of a learning curve and the impact of climate change. Our method used for determination of biomass potential is based on usage of the GIS model that includes key parameters such as soil and climatic characteristics of farming plots and expected crop yields related to them, changes in arable land, planting area, utilization of biomass, and the influence of climate change. Results from modelling different scenarios for the Czech Republic show that allocating 20% of arable land for energy crops increases biomass potential by 35%, 30 PJ (compared with current nearly 0% allocation) on a time horizon 2040. If a learning curve effect for energy crops (impact of breeding and improved agmtechnologies on biomass yields) in the range of 1.5-2.5% per year is considered, then biomass potential increases by 49% (42 PJ) in total.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20704 - Energy and fuels

Projekt

<a href="/cs/project/TK01010017" target="_blank" >TK01010017: Komplexní hodnocení potenciálů rozvoje bioenergetiky ve vazbě na funkce krajiny</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Renewable and Sustainable Energy Reviews

ISSN

1364-0321

e-ISSN

1879-0690

Svazek periodika

134

Číslo periodika v rámci svazku

December 2020

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

110319

Kód UT WoS článku

000582927200054

EID výsledku v databázi Scopus

2-s2.0-85090242887