Implementing Systems Engineering in the U. S. Department of Energy Office of the Biomass Program

Riley, Cynthia; Wooley, Robert; Sandor, Debra

doi:10.1109/sysose.2007.4304330

Cited by 8 publications

(6 citation statements)

References 1 publication

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“…SD models have recently been developed in some biofuels studies. Riley et al [113] use SD model to describe the U.S. Department of Energy biomass program. Bush et al [114] and Sheehan [115] explore the potential market penetration scenarios for bio-fuels in the United States.…”

Section: System Dynamics (Sd)mentioning

confidence: 99%

Advancing Integrated Systems Modelling Framework for Life Cycle Sustainability Assessment

2011

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Abstract:The need for integrated methodological framework for sustainability assessment has been widely discussed and is urgent due to increasingly complex environmental system problems. These problems have impacts on ecosystems and human well-being which represent a threat to economic performance of countries and corporations. Integrated assessment crosses issues; spans spatial and temporal scales; looks forward and backward; and incorporates multi-stakeholder inputs. This study aims to develop an integrated methodology by capitalizing the complementary strengths of different methods used by industrial ecologists and biophysical economists. The computational methodology proposed here is systems perspective, integrative, and holistic approach for sustainability assessment which attempts to link basic science and technology to policy formulation. The framework adopts life cycle thinking methods-LCA, LCC, and SLCA; stakeholders analysis supported by multi-criteria decision analysis (MCDA); and dynamic system modelling. Following Pareto principle, the critical sustainability criteria, indicators and metrics (i.e., hotspots) can be identified and further modelled using system dynamics or agent based modelling and improved by data envelopment analysis (DEA) and sustainability network theory (SNT). The framework is being applied to development of biofuel supply chain networks. The framework can provide new ways of integrating knowledge across the divides between social and natural sciences as well as between critical and problem-solving research. OPEN ACCESSSustainability 2011, 3 470

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Section: System Dynamics (Sd)mentioning

confidence: 99%

Advancing Integrated Systems Modelling Framework for Life Cycle Sustainability Assessment

2011

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“…SD models have recently been developed in some biofuels studies. Riley et al [49] use SD model to describe the U.S. DOE biomass program. Bush et al [50] and Sheehan [51] explore the potential market penetration scenarios for first generation bio-fuels in the United States.…”

Section: System Dynamics (Sd)mentioning

confidence: 99%

The Need for Integrated Life Cycle Sustainability Analysis of Biofuel Supply Chains

Halog¹,

Bortsie-Aryee²

2013

Biofuels - Economy, Environment and Sustainability

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“…While Franco et al [14] use system dynamics to understand the difficulties in fulfilling government requirements for biofuels blending and to evaluate the effect of different government policies in the production of ethanol and biodiesel. The U.S. Department of Energy modeling of the biomass program is described in Riley et al [15].…”

Section: Related Workmentioning

confidence: 99%

Modeling of U.S. Corn Ethanol Industrial Growth

Kibira

Shao

2011

ASME 2011 5th International Conference on Energy Sustainability, Parts A, B, and C

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The production capacity of corn ethanol as a transportation fuel is experiencing rapid growth in the United States. The demand is driven by increased prices of gasoline, government mandates, incentives, desire for cleaner fuels, and the need to be more self-reliant in energy sources. Continued strong growth of the corn ethanol industry will depend on profitability by both suppliers and producers. This in turn will be influenced by several factors such as demand, government incentives, feedstock availability and prices, processing plant capacity, and efficient farm and ethanol processing technologies. How and to what extent will the projected growth of the corn ethanol industry in the United States be influenced by some or all of these factors? We use system dynamics modeling to construct a causal-loop structure of the corn ethanol industry and stock and flow diagrams to explore how possible changes in projected factors and growth indicators will affect the industry. Currently, planners and researchers explore various energy supply options by the year 2030. Using system dynamics modeling, this paper explores different possible growth scenarios of the industry for the next twenty years.

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Implementing Systems Engineering in the U. S. Department of Energy Office of the Biomass Program

Cited by 8 publications

References 1 publication

Advancing Integrated Systems Modelling Framework for Life Cycle Sustainability Assessment

Advancing Integrated Systems Modelling Framework for Life Cycle Sustainability Assessment

The Need for Integrated Life Cycle Sustainability Analysis of Biofuel Supply Chains

Modeling of U.S. Corn Ethanol Industrial Growth

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