Identifying environmentally and economically optimal bioenergy plant sizes and locations: A spatial model of wood-based SNG value chains

Steubing, Bernhard; Ballmer, Isabel; Gassner, Martin; Gerber, Léda; Pampuri, Luca; Bischof, Sandro; Thees, Oliver; Zah, Rainer

doi:10.1016/j.renene.2012.08.018

Cited by 43 publications

(19 citation statements)

References 19 publications

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“…Moreover, the use of biomass for this purpose can improve the security in the energy supply and, at the same time, reduce anthropogenic greenhouse gas emissions [4][5][6]. The conventional route for SNG production is based on the conversion of carbon feedstocks into synthesis gas via gasification and its subsequent catalytic conversion to SNG via methanation [7,8].…”

Section: Introductionmentioning

confidence: 99%

CO methanation over TiO2-supported nickel catalysts: A carbon formation study

Barrientos

Lualdi

París

et al. 2015

Applied Catalysis A: General

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Section: Introductionmentioning

confidence: 99%

CO methanation over TiO2-supported nickel catalysts: A carbon formation study

Barrientos

Lualdi

París

et al. 2015

Applied Catalysis A: General

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“…From the state of the art, we have to notice that the achieved energy density is approximately 40 Wh/kg for lead-acid, 30-55 Wh/kg for Ni-metal hydrides, 100 Wh/kg for Li-Ion, 110 Wh/kg for molten sodium batteries [3]. Some recent studies [11], [12], [13], [14] presented a systematic approach for integrating LCA in process systems design using multi-objective optimization in the field of combined fuels and electricity production from renewable sources (biomass, geothermal). The major advantage is that it allows considering simultaneously the influence of the process design and its integration on the thermodynamic, economic and environmental life-cycle performance at the early stages of conceptual design [14].…”

Section: Conversion Systems and Efficiencymentioning

confidence: 99%

Environomic design of vehicle energy systems for optimal mobility service

Dimitrova

Maréchal

2014

Energy

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Abstract:The main design criteria for the modern sustainable development of vehicle powertrains are the high energy efficiency of the conversion system, the competitive cost and the lowest possible environmental impacts. An innovative decision making methodology, using multi-objective optimization technics is currently under development. The idea is to obtain a population of possible design solutions corresponding to the most efficient energy system definition. These solutions meet technical, economic and environmental optimality. This article applies the methodology on an electric vehicle, in order to define the powertrain configuration of the vehicle, to estimate the cost of the equipment and to show the environmental impacts of the technical choices of the powertrain configurations in a life cycle perspective. A physical model of the electric vehicle is made and coupled with a cost model for the vehicle and LCA technics are used for the environmental assessment. After multi-objective optimizations with thermo-economic and environmental objectives, the solutions obtained from the Pareto frontiers curve are analysed. Conclusions about the environomic design of the vehicle for optimal mobility service are made. The greenhouse gas emissions are calculated from a well-to-wheel perspective for different countries of use of the electric vehicle, according to their respective electricity production mixes.

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“…However, the transportation costs of biomass would be higher than those for wood pellets because wood pellets have a higher energy density than untreated biomass. Steubing et al [42], who have analysed drivers for economic performance of wood-based SNG production, ranked transportation costs as the third most important factor after revenue for sales of SNG, and SNG production costs. Because biomass is available in the region where Sandvik AB is situated, transportation costs would be reasonable.…”

Section: Fig 4 Sensitivity Analysis Of Nap For Investment In a Biomassmentioning

confidence: 99%

Bio-synthetic natural gas as fuel in steel industry reheating furnaces – A case study of economic performance and effects on global CO2 emissions

Johansson

2013

Energy

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Climate change is of great concern for society today. Manufacturing industries and construction account for approximately 20% of global CO 2 emissions and, consequently, it is important that this sector investigate options to reduce its CO 2 emissions. One option could be to substitute fossil fuels with renewable alternatives. This paper describes a case study in which four future energy market scenarios predicting 2030 were used to analyse whether it would be profitable for a steel plant to produce bio-synthetic natural gas (bio-SNG) in a biomass gasifier and to substitute liquefied petroleum gas (LPG) with bio-SNG as fuel in reheating furnaces. The effects on global CO 2 emissions were analysed from a perspective in which biomass is considered a limited resource. The results from the analysis show that investment in a biomass gasifier and fuel conversion would not be profitable in any of the scenarios. Depending on the scenario, the production cost for bio-SNG ranged between 22-36 EUR/GJ. Fuel substitution would reduce global CO 2 emission if the marginal biomass user is a producer of transportation fuel. However, if the marginal user of biomass is a coal power plant with wood co-firing, the result would be increased global CO 2 emissions.

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Identifying environmentally and economically optimal bioenergy plant sizes and locations: A spatial model of wood-based SNG value chains

Cited by 43 publications

References 19 publications

CO methanation over TiO2-supported nickel catalysts: A carbon formation study

CO methanation over TiO2-supported nickel catalysts: A carbon formation study

Environomic design of vehicle energy systems for optimal mobility service

Bio-synthetic natural gas as fuel in steel industry reheating furnaces – A case study of economic performance and effects on global CO2 emissions

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