Optimal biomass allocation to the German bioeconomy based on conflicting economic and environmental objectives

Musonda, Frazer; Millinger, Markus; Thrän, Daniela

doi:10.1016/j.jclepro.2021.127465

Cited by 17 publications

(18 citation statements)

References 33 publications

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“…At present, the US annually converts 1 billion tons of biomass into 25% liquid fuels and 50 billion pounds of biobased chemicals, reducing 450 million tons of carbon dioxide emissions, which accounts for nearly 10% of the national emissions . Musonda et al indicated that by 2050, Germany’s biomass potential could save 69 million tons of carbon dioxide equivalent, reducing greenhouse gas emissions by 6% compared to 1990 levels in the energy, construction, transport, and industrial sectors, resulting in a cumulative reduction of 1.72 billion tons of greenhouse gas emissions over the next 30 years …”

Section: Development Of Bioagriculture In Major Countries: Lessons Fo...mentioning

confidence: 99%

Pathways to Ensuring Food Security in the Context of the Chinese Bioeconomy Landscape

Chen,

Pu,

Luo

et al. 2024

ACS Agric. Sci. Technol.

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Recently, China released its first 5-year plan for bioeconomy development, in which bioagriculture was identified as one of the five key development areas. It not only aims to cultivate new momentum for ensuring food security in China but also outlines a new direction for agro-biotechnology innovation and the development of the bioindustry. This paper elaborates on the significance of agriculture as a crucial application scenario in the future bioeconomy and analyzes the demand for agricultural biotechnology in the context of China's food security. Additionally, it summarizes the development experiences of countries and regions, such as the United States and the European Union in the field of bioeconomy, including their strategic policies, leading technologies, and policy impacts. The paper further proposes specific ways to fully leverage the supportive role of bioeconomy in ensuring China's food security. These methods encompass the enhancement of agricultural biotechnology innovation capabilities, the application of biotechnological achievements in agriculture, and the refinement of the regulatory framework for biotechnology.

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Section: Development Of Bioagriculture In Major Countries: Lessons Fo...mentioning

confidence: 99%

Pathways to Ensuring Food Security in the Context of the Chinese Bioeconomy Landscape

Chen,

Pu,

Luo

et al. 2024

ACS Agric. Sci. Technol.

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“…In a scenario of strong technological development, biofuels and chemicals become cost-competitive alternatives, while in the case of low technology development, biomass is mostly used for heat. Musonda et al (2021) provided a model for an optimal biomass allocation with the bi-objective of minimizing GHG emissions and costs. Their model showed that the production of succinic acid, biomethane, and ethanol are most economically competitive using first-generation biomass, whereas LBM is used for heat and power.…”

Section: Sectorsmentioning

confidence: 99%

Unlocking the potential of the bioeconomy for climate change reduction: The optimal use of lignocellulosic biomass in Germany

Lubjuhn,

Venghaus

2023

J of Industrial Ecology

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The concept of a circular bioeconomy has become a new economic leitmotif for reducing greenhouse gas (GHG) emissions. Its central narrative rests on the idea of replacing fossil resources with biobased ones for a broad spectrum of products including, for example, heat, electricity, fuels, plastics, or chemicals. Yet, the amount of available bio‐resources is limited, rendering some technologies successful while leaving behind others. Lignocellulosic biomass (LBM) is a key resource already used on a large scale for heating purposes or electricity production and increasingly for the production of chemicals and biofuels. Because market mechanisms do not necessarily drive a cost‐optimal use with respect to their GHG‐reduction potential, a new bi‐objective linear optimization model under long‐term scenarios was developed for Germany accounting for competition with non‐biobased technologies. In the biofuels and biochemicals sectors, multi‐output processes that address industrial symbiosis and fossil references are used to compute profits and GHG emission savings of biobased products. However, in the absence of a reference for heat, a detailed representation of the heat sector is used in which heat demand for 19 subsectors is met, thus deriving costs and emission savings endogenously. When explicitly accounting for GHG emission reduction targets, biomass is optimally used in high‐temperature industries whereas heat pumps dominate in building heat. Because of the optimal use of biomass in industrial usage, subsidies for biomass heating are found to be inefficient in the building sector. Catalytic hydropyrolysis to produce biogasoline and biodiesel using LBM dominates the production of biofuels while biochemicals—strongly depending on oil price developments—will become competitive on a large scale after 2030.

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“…In this direction, an optimization method can be applied for solving problems that aim at finding the best possible option within a limit of possible choices [48]. It is widely applied in research about the application of bioresource technologies [49]- [51] and bioeconomy development [52]- [54].…”

Section: Goal and Scope Of The Studymentioning

confidence: 99%

Forestry Sector Resource Optimization with TIMES

Laganovska

Feofilovs

Blumberga

2022

Environmental and Climate Technologies

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Latvia’s wood industry is based mainly on three product groups – fuelwood, wood-based panels and furniture. This research adopts the TIMES modelling approach to assess the potential of forestry resources’ contribution to the development of bioeconomy by evaluating different existing and new products. The modelling approach is commonly used for energy systems, however, the study shows the adaptation of TIMES for the forestry sector from the perspective of bioeconomy development analysis, considering wood resource demand in the energy sector and the benefits of higher added value product production. The aim of modelling is to find which are more economically feasible exploitation options and the optimal production amounts for wood and wood by-products, such as biofuels, xylan, and lyocell. The study results show that the potential production of new products with higher added value is compatible with currently existing wood demand trends of three main product groups. The result shows that the lyocell biorefinery scenario has the potential for adding 199.5 million euros to Latvia’s GDP and helps achieve a 30 % increase in the added value of forestry resource use by 2030. To achieve the target, only 140 thousand tons (1.3 %) of total processed wood (total wood commodity is equal to 11 139 thousand tons) is used for lyocell biorefinery due to the high added value of the new product. Despite the various limitations of the model, the obtained results suggest that producing higher added-value products from forestry resources should be considered as a significant long-term supplementary driver of economic growth and bioeconomy development.

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Optimal biomass allocation to the German bioeconomy based on conflicting economic and environmental objectives

Cited by 17 publications

References 33 publications

Pathways to Ensuring Food Security in the Context of the Chinese Bioeconomy Landscape

Pathways to Ensuring Food Security in the Context of the Chinese Bioeconomy Landscape

Unlocking the potential of the bioeconomy for climate change reduction: The optimal use of lignocellulosic biomass in Germany

Forestry Sector Resource Optimization with TIMES

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