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Andrew N. Arnette

Researcher at University of Wyoming

Publications -  16
Citations -  447

Andrew N. Arnette is an academic researcher from University of Wyoming. The author has contributed to research in topics: Renewable energy & Solar power. The author has an hindex of 10, co-authored 14 publications receiving 375 citations. Previous affiliations of Andrew N. Arnette include Providence College & Virginia Tech.

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Design for sustainability (DFS): the intersection of supply chain and environment

TL;DR: In this paper, a new product development research reviews the "design for" or DFX literature to consolidate the current body of knowledge and to seek the future direction of the field, finding that DFX techniques can be placed under the heading of sustainability in the dimensions of economics, ecology, and social equity.
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An optimization model for regional renewable energy development

TL;DR: In this paper, a decision support system for energy planning that allows for combining existing electricity generating capabilities with increased use of renewable energy sources is presented, focusing on energy planning at the regional level, and it is illustrated by applying it to the greater southern Appalachian mountains of the eastern United States.
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Spatial analysis of renewable energy potential in the greater southern Appalachian mountains

TL;DR: In this paper, a GIS model analyzes wind, solar, and biomass potential within the greater southern Appalachian region, an area which is currently very heavily dependent on coal for electricity generation.
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Stakeholder ranking of watershed goals with the vector analytic hierarchy process: Effects of participant grouping scenarios

TL;DR: This paper discusses the process of summarizing the goals that were generated during a workshop of watershed stakeholders in Virginia by using the Vector Analytic Hierarchy Process, and then grouping them into homogeneous subgroups by using two different methods.
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Renewable energy and carbon capture and sequestration for a reduced carbon energy plan: An optimization model

TL;DR: In this article, the potential for carbon capture and sequestration (CCS) in the model was introduced as a tool for carbon emissions reduction. And the authors provided a model that can compare renewable energy and CCS to determine the optimal combination of these resources.