This study aims to develop a simplified estimation method of the thermal design load and space radiant environment in order to achieve adequate and economical HVAC equipment sizing and confirmation of thermal comfort. The author proposes a new definition for the 2.5% thermal design load and corresponding operative temperature (OT). The 2.5% design load is the load which occurs at 2.5% cumulative frequency of occurrence during the summer or winter months. Hourby- hour dynamic simulation through a year is necessary to obtain the 2.5% design load and corresponding OT.
It is becoming a popular practice for architects and HVAC engineers to simulate airflows in and around buildings by Computational Fluid Dynamics (CFD) methods in order to predict indoor and outdoor environments. However, many CFD programs are crippled by a historically poor and inefficient user interface system, particularly for users with little training in numerical simulation. This investigation endeavors to create a Simplified CFD Interface (SCI), a public domain program that allows architects and building engineers to use CFD without excessive training.
This study aims to develop a simplified estimation method of the thermal design load and space radiant environment in order to achieve adequate and economical HVAC equipment sizing and confirmation of thermal comfort. The author proposes a new definition for the 2.5% thermal design load and corresponding operative temperature (OT). The 2.5% design load is the load which occurs at 2.5% cumulative frequency of occurrence during the summer or winter months. Hourby- hour dynamic simulation through a year is necessary to obtain the 2.5% design load and corresponding OT.
This work presents the program SIMEDIF, a code conceived for the design and simulation of the thermal transient behavior of buildings, entirely developed at INENCO. Unlike other common programs, SIMEDIF does not calculate the needed auxiliary energy for indoor air conditioning from fixed indoor range of temperatures. In fact, the aim of the calculation is to obtain these indoor temperatures. SIMEDIF simulates the thermal behavior of multiroom buildings with natural and passive air conditioning systems and with indoor heat gains.
Classical building simulators are typically based on global systems of differential equations that model the physical reality and are numerically solved at runtime. In this paper we propose a new approach. Physical components of buildings, such as walls and spaces, are modeled as computational objects that individually solve the appropriate physical equations at runtime and exchange changes of surface values, such as temperatures, when necessary.
Physical and computational simulations have been combined within a unique framework for the aim of establishing a methodology for micro-level building thermal analysis. Within this framework, each simulation mechanism overcomes the limitation of the other. The framework has been implemented by integrating an existing thermal chamber with Computational Fluid Dynamics (CFD) simulations. A detailed description of the procedure for affecting the combined methodology is the focus of this paper. In addition, the thermal chamber and the CFD prototype model of the chamber have been described.
This paper presents the requirements of the building representation to supports the holistic performance assessment of building performance into a single application. The performance views considered are energy consumption, room acoustics, occupant comfort, and the life cycle impact assessment related to the fuel and materials flows over the whole building life (LCIA). The paper continues with the description of this data model into ESP-r, an existing advanced building simulation application, and its extension to support room acoustics and LCIA views.
This paper argues that analytical approaches (i.e., simulation) and inductive learning methods (i.e., neural networks) can cooperate to facilitate a daylight responsive lighting control strategy.
New calculation procedures for calculating conduction heat transfer for foundations are described. These procedures are first validated and then implemented within EnergyPlus source code (beta version 5.0). Selected results of the implementation are presented for a 3-zone low -rise building. The results indicated that the developed foundation heat transfer module accounts better than existing EnergyPlus module for the ground mass and its effects on reducing the hourly and seasonal fluctuations of slab surface temperatures.
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