The Experts below are selected from a list of 9 Experts worldwide ranked by ideXlab platform
Rick R Riolo - One of the best experts on this subject based on the ideXlab platform.
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improving rural electricity system planning an agent based model for Stakeholder engagement and decision making
Energy Policy, 2017Co-Authors: Jose F Alfaro, Shelie A Miller, Jeremiah X Johnson, Rick R RioloAbstract:Energy planners in regions with low rates of electrification face complex and high-risk challenges in selecting appropriate generating technologies and grid centralization. To better inform such processes, we present an Agent-Based Model (ABM) that facilitates engagement with Stakeholders. This approach evaluates long-term plans using the cost of delivered electricity, resource mix, jobs and economic stimulus created within communities, and decentralized generation mix of the system, with results provided in a spatially-resolved format. This approach complements existing electricity planning methods (e.g., Integrated Resource Planning) by offering novel evaluation criteria based on Typical Stakeholder preferences.
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improving rural electricity system planning an agent based model for Stakeholder engagement and decision making
Energy Policy, 2017Co-Authors: Jose F Alfaro, Shelie A Miller, Jeremiah X Johnson, Rick R RioloAbstract:Abstract Energy planners in regions with low rates of electrification face complex and high-risk challenges in selecting appropriate generating technologies and grid centralization. To better inform such processes, we present an Agent-Based Model (ABM) that facilitates engagement with Stakeholders. This approach evaluates long-term plans using the cost of delivered electricity, resource mix, jobs and economic stimulus created within communities, and decentralized generation mix of the system, with results provided in a spatially-resolved format. This approach complements existing electricity planning methods (e.g., Integrated Resource Planning) by offering novel evaluation criteria based on Typical Stakeholder preferences. We demonstrate the utility of this approach with a case study based on a “blank-slate” scenario, which begins without generation or transmission infrastructure, for the long-term rural renewable energy plans of Liberia, West Africa. We consider five electrification strategies: prioritizing larger populations, deploying large resources, creating jobs, providing economic stimulus, and step-wise cost minimization. Through the case study we demonstrate how this approach can be used to engage Stakeholders, supplement more established energy planning tools, and illustrate the effects of Stakeholder decisions and preferences on the performance of the system.
Jose F Alfaro - One of the best experts on this subject based on the ideXlab platform.
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improving rural electricity system planning an agent based model for Stakeholder engagement and decision making
Energy Policy, 2017Co-Authors: Jose F Alfaro, Shelie A Miller, Jeremiah X Johnson, Rick R RioloAbstract:Energy planners in regions with low rates of electrification face complex and high-risk challenges in selecting appropriate generating technologies and grid centralization. To better inform such processes, we present an Agent-Based Model (ABM) that facilitates engagement with Stakeholders. This approach evaluates long-term plans using the cost of delivered electricity, resource mix, jobs and economic stimulus created within communities, and decentralized generation mix of the system, with results provided in a spatially-resolved format. This approach complements existing electricity planning methods (e.g., Integrated Resource Planning) by offering novel evaluation criteria based on Typical Stakeholder preferences.
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improving rural electricity system planning an agent based model for Stakeholder engagement and decision making
Energy Policy, 2017Co-Authors: Jose F Alfaro, Shelie A Miller, Jeremiah X Johnson, Rick R RioloAbstract:Abstract Energy planners in regions with low rates of electrification face complex and high-risk challenges in selecting appropriate generating technologies and grid centralization. To better inform such processes, we present an Agent-Based Model (ABM) that facilitates engagement with Stakeholders. This approach evaluates long-term plans using the cost of delivered electricity, resource mix, jobs and economic stimulus created within communities, and decentralized generation mix of the system, with results provided in a spatially-resolved format. This approach complements existing electricity planning methods (e.g., Integrated Resource Planning) by offering novel evaluation criteria based on Typical Stakeholder preferences. We demonstrate the utility of this approach with a case study based on a “blank-slate” scenario, which begins without generation or transmission infrastructure, for the long-term rural renewable energy plans of Liberia, West Africa. We consider five electrification strategies: prioritizing larger populations, deploying large resources, creating jobs, providing economic stimulus, and step-wise cost minimization. Through the case study we demonstrate how this approach can be used to engage Stakeholders, supplement more established energy planning tools, and illustrate the effects of Stakeholder decisions and preferences on the performance of the system.
Shelie A Miller - One of the best experts on this subject based on the ideXlab platform.
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improving rural electricity system planning an agent based model for Stakeholder engagement and decision making
Energy Policy, 2017Co-Authors: Jose F Alfaro, Shelie A Miller, Jeremiah X Johnson, Rick R RioloAbstract:Energy planners in regions with low rates of electrification face complex and high-risk challenges in selecting appropriate generating technologies and grid centralization. To better inform such processes, we present an Agent-Based Model (ABM) that facilitates engagement with Stakeholders. This approach evaluates long-term plans using the cost of delivered electricity, resource mix, jobs and economic stimulus created within communities, and decentralized generation mix of the system, with results provided in a spatially-resolved format. This approach complements existing electricity planning methods (e.g., Integrated Resource Planning) by offering novel evaluation criteria based on Typical Stakeholder preferences.
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improving rural electricity system planning an agent based model for Stakeholder engagement and decision making
Energy Policy, 2017Co-Authors: Jose F Alfaro, Shelie A Miller, Jeremiah X Johnson, Rick R RioloAbstract:Abstract Energy planners in regions with low rates of electrification face complex and high-risk challenges in selecting appropriate generating technologies and grid centralization. To better inform such processes, we present an Agent-Based Model (ABM) that facilitates engagement with Stakeholders. This approach evaluates long-term plans using the cost of delivered electricity, resource mix, jobs and economic stimulus created within communities, and decentralized generation mix of the system, with results provided in a spatially-resolved format. This approach complements existing electricity planning methods (e.g., Integrated Resource Planning) by offering novel evaluation criteria based on Typical Stakeholder preferences. We demonstrate the utility of this approach with a case study based on a “blank-slate” scenario, which begins without generation or transmission infrastructure, for the long-term rural renewable energy plans of Liberia, West Africa. We consider five electrification strategies: prioritizing larger populations, deploying large resources, creating jobs, providing economic stimulus, and step-wise cost minimization. Through the case study we demonstrate how this approach can be used to engage Stakeholders, supplement more established energy planning tools, and illustrate the effects of Stakeholder decisions and preferences on the performance of the system.
Jeremiah X Johnson - One of the best experts on this subject based on the ideXlab platform.
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improving rural electricity system planning an agent based model for Stakeholder engagement and decision making
Energy Policy, 2017Co-Authors: Jose F Alfaro, Shelie A Miller, Jeremiah X Johnson, Rick R RioloAbstract:Energy planners in regions with low rates of electrification face complex and high-risk challenges in selecting appropriate generating technologies and grid centralization. To better inform such processes, we present an Agent-Based Model (ABM) that facilitates engagement with Stakeholders. This approach evaluates long-term plans using the cost of delivered electricity, resource mix, jobs and economic stimulus created within communities, and decentralized generation mix of the system, with results provided in a spatially-resolved format. This approach complements existing electricity planning methods (e.g., Integrated Resource Planning) by offering novel evaluation criteria based on Typical Stakeholder preferences.
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improving rural electricity system planning an agent based model for Stakeholder engagement and decision making
Energy Policy, 2017Co-Authors: Jose F Alfaro, Shelie A Miller, Jeremiah X Johnson, Rick R RioloAbstract:Abstract Energy planners in regions with low rates of electrification face complex and high-risk challenges in selecting appropriate generating technologies and grid centralization. To better inform such processes, we present an Agent-Based Model (ABM) that facilitates engagement with Stakeholders. This approach evaluates long-term plans using the cost of delivered electricity, resource mix, jobs and economic stimulus created within communities, and decentralized generation mix of the system, with results provided in a spatially-resolved format. This approach complements existing electricity planning methods (e.g., Integrated Resource Planning) by offering novel evaluation criteria based on Typical Stakeholder preferences. We demonstrate the utility of this approach with a case study based on a “blank-slate” scenario, which begins without generation or transmission infrastructure, for the long-term rural renewable energy plans of Liberia, West Africa. We consider five electrification strategies: prioritizing larger populations, deploying large resources, creating jobs, providing economic stimulus, and step-wise cost minimization. Through the case study we demonstrate how this approach can be used to engage Stakeholders, supplement more established energy planning tools, and illustrate the effects of Stakeholder decisions and preferences on the performance of the system.
Riina Koris - One of the best experts on this subject based on the ideXlab platform.
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is the learning organization idea relevant to higher educational institutions a literature review and a multi Stakeholder contingency approach
International Journal of Educational Management, 2014Co-Authors: Anders Ortenblad, Riina KorisAbstract:Purpose – The purpose of this paper is to examine systematically and reflectively the relevance of four different aspects/types of the learning organization idea to higher educational institutions (HEIs), from three ideal-Typical Stakeholder perspectives: the managerial perspective, the employee perspective and the societal perspective. Design/methodology/approach – Literature review of 73 prior works on the relevance of the learning organization idea to HEIs, and a systematic examination from different Stakeholder perspectives, i.e. an examination based on a “multi-Stakeholder contingency approach.” Findings – The learning organization idea needs to be reformulated to some extent to become fully relevant to HEIs. Research limitations/implications – The “multi-Stakeholder contingency approach” can be used advantageously in any contextualization study of the learning organization idea as well as in contextualizing any other fashionable management idea. Practical implications – The learning organization ide...
