E-Book, Englisch, 249 Seiten, eBook
Bertoldi Improving Energy Efficiency in Commercial Buildings and Smart Communities
1. Auflage 2020
ISBN: 978-3-030-31459-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Proceedings of the 10th International Conference IEECB&SC’18
E-Book, Englisch, 249 Seiten, eBook
Reihe: Springer Proceedings in Energy
ISBN: 978-3-030-31459-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Chapter1: Demand side management in the services sector – empirical study on four European countries.- Chapter2: Energy consumption monitoring and building performances in a commercial building – Case study.- Chapter3: National Energy Efficiency and Renewable Energy Action for Lebanon.- Chapter4: DGNB framework for “carbon-neutral buildings and sites”.- Chapter5: Economic Appraisal of introducing Energy Efficiency in the Public Sector: Overview of existing economic methods with ex-post application to sustainable energy management program in Croatia.- Chapter6: Technological quality in process innovation for energy-renewable buildings.- Chapter7: EU Financed Life-Diademe Project: Additional Energy Savings in Street Lighting By Means Of Iot Sensors: A Case Study in Italy.- Chapter8: Building Integrated Photovoltaic Systems as a sustainable option for retrofitting of office buildings in South East Europe.- Chapter9: Electric lighting predictions in the energy calculation methods.- Chapter10: A methodology to address the gap between calculated and actual energy performance in deep renovations of offices and hotels.- Chapter11: Financing models for energy efficiency in public buildings and street lighting in Germany and neighboring countries.- Chapter12: Day-ahead multi-objective energy optimization of a smart building in a dynamic pricing scenario.- Chapter13: Approach and decision-making process for sustainable retrofitting of commercial buildings.- Chapter14: Buildings efficiency models and the optimization of the district heating network for low-carbon transitions cities