1 resultado para Biometano, Smart Grid Gas, AEEG
em Instituto Politécnico de Viseu
Filtro por publicador
- Repository Napier (1)
- Abertay Research Collections - Abertay University’s repository (1)
- Academic Archive On-line (Karlstad University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (10)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (4)
- Archive of European Integration (16)
- Aston University Research Archive (17)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (45)
- Biodiversity Heritage Library, United States (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (1)
- Brock University, Canada (26)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- CentAUR: Central Archive University of Reading - UK (14)
- Cochin University of Science & Technology (CUSAT), India (10)
- Coffee Science - Universidade Federal de Lavras (1)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (72)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Digital Commons - Michigan Tech (2)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (7)
- Diposit Digital de la UB - Universidade de Barcelona (3)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (107)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (2)
- Harvard University (1)
- Helvia: Repositorio Institucional de la Universidad de Córdoba (1)
- Institute of Public Health in Ireland, Ireland (3)
- Instituto Politécnico de Viseu (1)
- Instituto Politécnico do Porto, Portugal (148)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (15)
- Laboratório Nacional de Energia e Geologia - Portugal (1)
- Martin Luther Universitat Halle Wittenberg, Germany (6)
- Massachusetts Institute of Technology (3)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (5)
- Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde (2)
- Publishing Network for Geoscientific & Environmental Data (4)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (4)
- Repositório Científico da Universidade de Évora - Portugal (5)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (30)
- Repositório da Produção Científica e Intelectual da Unicamp (4)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (40)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (47)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scielo Saúde Pública - SP (53)
- Universidad Autónoma de Nuevo León, Mexico (8)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (24)
- Universidad Politécnica de Madrid (17)
- Universidade do Minho (17)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (7)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (13)
- Université de Lausanne, Switzerland (86)
- Université de Montréal, Canada (1)
- Université Laval Mémoires et thèses électroniques (1)
- University of Canberra Research Repository - Australia (1)
- University of Queensland eSpace - Australia (45)
- University of Southampton, United Kingdom (6)
- University of Washington (1)
Resumo:
This paper analyzes the implementation of new technologies in network industries through the development of a suitable regulatory scheme. The analysis focuses on Smart Grid (SG) technologies which, among others benefits, could save operational costs and reduce the need for further conventional investments in the grid. In spite of the benefits that may result from their implementation, the adoption of SGs by network operators can be hampered by the uncertainties surrounding actual performances. A decision model has been developed to assess the firms' incentives to invest in "smart" technologies under different regulatory schemes. The model also enables testing the impact of uncertainties on the reduction of operational costs, and of conventional investments. Under certain circumstances, it may be justified to support the development and early deployment of emerging innovations that have a high potential to ameliorate the efficiency of the electricity system, but whose adoption faces many uncertainties.