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Dynamic Simulation of a Liquid Dessicant Cooling System Using the Energy Kernel System

Technical Report ·
DOI:https://doi.org/10.2172/5968703· OSTI ID:5968703
 [1];  [1]
  1. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
The Energy Kernel System (EKS) is a simulation environment for building energy analysis under development at Lawrence Berkeley Laboratory. EKS is a very flexible, highly modular environment that allows users to create customized models of thermal systems by linking together calculation objects - either defined by the user or obtained from a library - that describe the individual components of the system. A principal departure from other simulation environments is that system models are constructed from submodel objects that are defined without prescribed input or output interfaces, yielding greater modeling flexibility. Also, graph theoretic techniques are employed to determine the solution sequence, including reduction of the iterative problem size at each time step. To demonstrate the use of EKS for modeling complex physical systems, the authors present in this paper a dynamic EKS simulation of a hybrid liquid desiccant cooling system. They show (1) how EKS calculation objects are generated automatically using MACSYMA (MIT, 1983), given the basic algebraic and differential equations for the system; (2) how EKS objects are linked into macro objects that describe system components; and (3) how macro objects are linked together to form a mathematical network representing the entire system. Finally, they show graphically the numerical results of running a time-dependent simulation of the system.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Conservation & Renewable Energy (CE)
DOE Contract Number:
AC03-76SF00098
OSTI ID:
5968703
Report Number(s):
LBL--29610; ON: DE91010273
Country of Publication:
United States
Language:
English