@article{36415,
  author = {Aviruch Bhatia and Shanmukh Dontu and Vishal Garg and Reshma Singh},
  title = {Approach for energy efficient building design during early phase of design process},
  abstract = {<p>Energy consumption in the building sector is about 40% of total energy consumed<br>globally and is trending upwards, along with its contribution to greenhouse gas<br>(GHG) emissions. Given the adverse impacts of GHG emissions, it is crucial to<br>integrate energy efficiency into building designs. The most significant opportunities<br>for enhancing energy performance are present during the initial phases of building<br>design, when there is less impact of other design constraints. Various tools exist<br>for simulating different design options and providing feedback in terms of energy<br>consumption and comfort parameters. These simulation outputs must then be<br>analyzed to derive design solutions. This paper presents an innovative approach<br>that utilizes user input parameters, processes them through cloud computing,<br>and outputs easily understandable strategies for energy-efficient building design.<br>The methodology employs Asynchronous Distributed Task Queues (DTQ) - a more<br>scalable and reliable alternative to conventional speedup techniques-for conducting<br>parametric energy simulations in the cloud. The goal of this approach is to assist<br>design teams in identifying, visualizing, and prioritizing energy-saving design<br>strategies from a range of possible solutions for each project. Furthermore, a tool<br>‘eDOT’ has been developed utilizing the discussed methodology. Unlike existing tools,<br>eDOT leverages artificial intelligence to dynamically generate and provide design<br>strategies during the early phases of design process. By simplifying the simulation<br>process, eDOT enables design teams to make informed, data-driven decisions<br>without needing to interpret complex simulation outputs. A case study simulated<br>for two locations is provided in this paper to demonstrate the effectiveness of eDOT,<br>further underscoring its practical impact on energy-efficient building design.</p>},
  year = {2024},
  journal = {Energy Informatics},
  volume = {7},
  month = {19/11/2024},
  publisher = {Springer Science and Business Media LLC},
  issn = {2520-8942},
  url = {http://dx.doi.org/10.1186/s42162-024-00426-z},
  doi = {10.1186/s42162-024-00426-z},
}