Sentence examples for building energy simulation tools from inspiring English sources
Algorithms for solar shading calculations may directly affect the accuracy of results obtained by building energy simulation tools.
Despite the advancements in validation methodologies for building energy simulation tools, the validation process is still time consuming and difficult.
Building energy simulation tools are now being used in a number of new roles such as building operation optimization, performance verification for efficiency programs, and – recently – building energy code analysis, design, and compliance verification in the residential sector.
Current building energy simulation tools only include models for established responsive technologies, and the controls of either the HVAC system or active technologies is still based on rule based control.
For the same reasons, existing building energy simulation tools do not natively support the Energy ADE as input/output data format, yet.
The optimization method is developed by integrating a multi-objective artificial bee colony (MOABC) optimization algorithm implemented in MATLAB with EnergyPlus building energy simulation tool.
Four existing air-conditioned office buildings – two mid-rise and two high-rise were modeled as case studies using eQuest v.3.6, which is a DoE2.2, based building energy simulation tool.
The search was performed through an implementation of the NSGA-II algorithm, which was made capable of exchanging information with the EnergyPlus building energy simulation tool.
ExRET-Opt, a retrofit-oriented modular-based dynamic simulation framework has been developed by embedding a comprehensive exergy/exergoeconomic calculation method into a typical open-source building energy simulation tool (EnergyPlus).
The study was performed for hot-dry climate of Jodhpur (Latitude 26° 180′N, longitude 73° 010′E) using EnergyPlus, a whole building energy simulation tool providing a large number of inputs for eight façade orientations.
