University of Maryland
Center for Environmental Energy Engineering
Center for Environmental Energy Engineering
Integrated Systems Optimization Consortium
ABOUT ISOC

ISOC Home

Introduction

News and Events


ISOC TEAM

Faculty

Students

Research Personnel


RESEARCH

Accumulator Modeling

Heat Exchanger Design

System Simulation

MODELING TOOLS

ACCSim

CoilDesigner

VapCyc

TransREF

Miscellaneous Tools

Support

FAQs

Calculators

 

MEMBER SECTION

Updates

Events and Invitations

Reports and Presentations

Software Download

CEEE Knowledge Base

 

DOWNLOADS

Evaluation Versions

Misc

 

CONTACT ISOC

Contact Information

Visiting ISOC

Feedback

 

Introduction

Research and development in ISOC focuses on the optimization of both transient and steady state thermal systems, via simulation, for performance objectives such as weight, capacity, efficiency and cost. Cost can include both first cost as well as operating and/or lifetime cost. This objective is accomplished through the development of specialized, continuously evolving software that is user-friendly, modular and object-oriented. This software works in conjunction with design, construction and testing of equipment according to design specification. The modeling approach facilitates the testing of control schemes before hardware implementation and is applicable to a wide range of thermal systems including:

  • Aircraft and spacecraft
  • Automobiles and other mobile units
  • Commercial Refrigeration Systems
  • Power systems
  • Heating and cooling systems
  • Integrated Energy Systems

Experience demonstrates that a comprehensive optimization of subsystems, and their subsequent integration into a comprehensive system, can significantly reduce weight, space and cost. ISOC strives to accomplish single-objective and multi-objective optimization at the components/subsystems level and system level, through the use of gradient based techniques and Genetic Optimization Algorithms.

ISOC software is a cost-efficient vehicle for simulating both component and system performance as well as exploring the feasibility of the proposed system, and potential control algorithms before a system is built or utilized.

ISOC helps to reduce the amount of experimental verification and thus the time to market.

Click here to see how.

University of Maryland | Center for Environmental Energy Engineering | College Park, MD 20742 | Copyright 2005 Dept. of Mechanical Engineering