Reprint

Advanced Energy Systems in Zero/Positive Energy Buildings, Communities and Districts

Edited by
April 2024
310 pages
  • ISBN978-3-7258-0705-5 (Hardback)
  • ISBN978-3-7258-0706-2 (PDF)

This book is a reprint of the Special Issue Advanced Energy Systems in Zero/Positive Energy Buildings, Communities and Districts that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

This reprint focuses on the concepts, fundamentals, and definitions of the concept of nearly/net/zero, positive energy buildings/communities/districts, and their impact on built communities. It also provides details on the energy efficiency of buildings in communities and districts, the HVAC systems, short and long term energy storages, and renewable energy integration and controls. Built environments and businesses are moving towards energy efficiency, flexibility, and self-sufficiency, and this is discussed in detail. In addition to this, while looking at the present energy crises situation resulting from economic crises, climate change, and policy changes, the concept of energy resilience is also discussed. The development of future-proof buildings and built environments are of particular interest. Finally, the economical, social, and policy-related aspects are included in the reprint in order to provide solutions for various interested stakeholders, parties, and, in general, to society.

Format
  • Hardback
License
© 2024 by the authors; CC BY-NC-ND license
Keywords
positive energy districts; positive energy blocks; PED concept; energy transition; climate neutrality; smart sustainable cities; Smart Cities and Communities; European energy transition; energy planning; urban planning; sustainable urban design; advanced energy systems; positive energy district; PED; PED model; PED technologies; energy communities; smart cities; sustainable urban development; energy management system; intelligent energy management system; net-zero energy management system; demand side management; sustainable development goals; buildings; lumped parameters; algorithm; mathematical model; experimental tests; reduced-scale models; Renewable Energy Community; industrial districts; dynamic simulation; energy self-sufficiency; energy sharing; experimental data; GPC confined masonry; GPC bare frame; reverse cyclic loading; ANSYS; numerical simulation; building optimization; building simulation; surrogate models; multi-objective optimization; energy flexibility; energy resilience; thermal energy; energy crisis; energy pricing; Nordic climate; climate change; cogeneration technology; energy efficiency measures; energy retrofit; micro-cogeneration; feasibility; RETScreen; energy flexibility; active demand response; thermal storage; buildings labeling; renewable energy community (REC); energy management strategies; multi-objective optimization algorithm; multi-swarm MOPSO; energy storage systems; energy storage sharing; reinforcement learning; energy efficiency; thermal comfort; buildings; residents; Energym