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    Research and technology management in the electricity industry. Methods, tools and case studies / ed. T. Daim [et al.] ; Ed. T. Daim ; editor.: T. Oliver, J. Kim. - London [etc.] : Springer, 2013. - on-line. - (Green energy and technology). - URL: http://dx.doi.org/10.1007/978-1-4471-5097-8, http://link.springer.com/book/10.1007/978-1-4471-5097-8. - Загл. с экрана. - ISBN 978-1-4471-5097-8. - Текст : электронный.
    Содержание:
    Introduction -- 1.Methods and Tools Applied in Strategic Technology Planning -- 2.Multi-criteria Applications in Renewable Energy Analysis, a literature Review -- 3.Expert Judgment Quantification -- 4.Technology Forecasting Methods -- 5.Use of Multiple Perspectives and Decision Modeling for PV Technology Assessment -- 6.Application of Fuzzy Cognitive Map (FCM) for the development of Scenarios: A Case Study of Wind Energy Deployment -- 7.Transmission Technology Needs -- 8.Forecasting the Maturity of Alternate Wind Turbine Technologies through Patent Analysis -- 9.Technology Adoption - Building IT -- 10.Adoption of Energy Efficiency Technologies:  A Review of behavioral theories for the case of LED lighting -- 11.Application of a Cross-Disciplinary Taxonomy: Technology Transfer of Energy Innovations from Government Labs -- 12.A Framework for Green/Eco-Innovation through Use of a Novel Measure: E/R -- 13.Analysis of Some of the Demand Side Management Products at Residential Sites -- 14.Solar Lanterns – Technology Adoption Model for Indian Villages -- 15.Adoption of Energy Efficient Technologies from a Demand Side Management Perspective: Taxonomy of Adoption Drivers, Barriers and Policy tools.

    ГРНТИ УДК
    44.01.75338.45:621.31

    Рубрики:
    energy
    renewable energy resources
    energy policy
    energy and state
    energy harvesting
    management
    industrial management
    engineering economics
    engineering economy
    renewable energy sources
    alternate energy sources
    green energy industries
    energy
    energy Harvesting
    renewable and Green Energy
    innovation/Technology Management
    engineering Economics, Organization, Logistics, Marketing
    energy Policy, Economics and Management

    Кл.слова (ненормированные): НАУЧНЫЕ ИССЛЕДОВАНИЯ -- ТЕХНОЛОГИИ -- ЭКОНОМИКА ЭЛЕКТРОЭНЕРГЕТИКИ
    Аннотация: Technologies such as renewable energy alternatives including wind, solar and biomass, storage technologies and electric engines are creating a different landscape for the  electricity industry. Using sources and ideas from technologies such as renewable energy alternatives, Research and Technology Management in the Electricity Industry explores a different landscape for this industry and applies it to the electric industry supported by real industry cases.   Divided into three sections, Research and Technology Management in the Electricity Industry introduces a range of  methods and tools including technology assessment, forecasting, roadmapping, research and development portfolio management and technology transfer. These tools are the applied to emerging technologies in this industry with case studies including data from various organizations including Bonneville Power Administration and Energy Trust of Oregon, from sectors including lighting and wind energy. The final section considers innovation through these technologies.   A product result of a collaboration between Bonneville Power Administration and Portland State University, Research and Technology Management in the Electricity Industry is a comprehensive collection of methods, tools, examples and pathways for future innovation in the electricity industry.
    Доп. точки доступа:
    Daim, T.\ed.\
    Oliver, T.\editor.\
    Kim, J.\editor.\

    http://dx.doi.org/10.1007/978-1-4471-5097-8

    http://link.springer.com/book/10.1007/978-1-4471-5097-8


    Держатели документа:
    Государственная публичная научно-техническая библиотека России : 123298, г. Москва, ул. 3-я Хорошевская, д. 17 (Шифр в БД-источнике (KATBW): ?-385731548)
    Государственная публичная научно-техническая библиотека России : 123298, г. Москва, ул. 3-я Хорошевская, д. 17 (Шифр в БД-источнике (KATBW): -596767386)

    Шифр в сводном ЭК: 552c8d08b5c0e7b9b6bba76da25cc685



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