1 resultado para Force and energy.
em SAPIENTIA - Universidade do Algarve - Portugal
Filtro por publicador
- Repository Napier (2)
- Aberdeen University (2)
- Abertay Research Collections - Abertay University’s repository (2)
- Aberystwyth University Repository - Reino Unido (2)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (8)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Applied Math and Science Education Repository - Washington - USA (1)
- Aquatic Commons (12)
- ARCA - Repositório Institucional da FIOCRUZ (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (4)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (37)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Aston University Research Archive (14)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (17)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (33)
- CentAUR: Central Archive University of Reading - UK (35)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (76)
- Cochin University of Science & Technology (CUSAT), India (5)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (21)
- CORA - Cork Open Research Archive - University College Cork - Ireland (5)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (5)
- Deakin Research Online - Australia (83)
- Digital Archives@Colby (2)
- Digital Commons - Michigan Tech (8)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons at Florida International University (7)
- Digital Repository at Iowa State University (1)
- DigitalCommons@The Texas Medical Center (3)
- Diposit Digital de la UB - Universidade de Barcelona (2)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (3)
- Helda - Digital Repository of University of Helsinki (2)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (3)
- Indian Institute of Science - Bangalore - Índia (43)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (5)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (6)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (4)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (11)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (52)
- Queensland University of Technology - ePrints Archive (151)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (78)
- Repositorio Institucional Universidad de Medellín (1)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (2)
- Scielo España (1)
- Scielo Uruguai (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (21)
- Universidade Complutense de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (2)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (1)
- Université Laval Mémoires et thèses électroniques (1)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (2)
- University of Michigan (76)
- University of Queensland eSpace - Australia (18)
- WestminsterResearch - UK (2)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
This talk addresses the problem of controlling a heating ventilating and air conditioning system with the purpose of achieving a desired thermal comfort level and energy savings. The formulation uses the thermal comfort, assessed using the predicted mean vote (PMV) index, as a restriction and minimises the energy spent to comply with it. This results in the maintenance of thermal comfort and on the minimisation of energy, which in most operating conditions are conflicting goals requiring some sort of optimisation method to find appropriate solutions over time. In this work a discrete model based predictive control methodology is applied to the problem. It consists of three major components: the predictive models, implemented by radial basis function neural networks identifed by means of a multi-objective genetic algorithm [1]; the cost function that will be optimised to minimise energy consumption and provide adequate thermal comfort; and finally the optimisation method, in this case a discrete branch and bound approach. Each component will be described, with a special emphasis on a fast and accurate computation of the PMV indices [2]. Experimental results obtained within different rooms in a building of the University of Algarve will be presented, both in summer [3] and winter [4] conditions, demonstrating the feasibility and performance of the approach. Energy savings resulting from the application of the method are estimated to be greater than 50%.