Wednesday, January 27, 2016: 11:00 AM-12:30 PM
Cutting-Edge Technologies
Chair:
Nathaniel Jones, MIT
Technical Committee: 04.07 Energy Calculations
Cutting-edge simulation techniques have the power to expose design ideas that can radically reduce energy demands starting from an early point in the design process. However, integrating new simulation methods into existing design practices requires both creativity and depth of knowledge on the part of designers. This seminar brings together three experts from the industry to present how they have integrated advanced simulation techniques to increase energy efficiency, reduce resource consumption and further the design goals of a number of projects.
1.00 Modeling a Building Before It Has Been Designed: Cloud-Based Pre-Simulation to Build a Multi-Parameter Design Space
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Christopher B. Baker, The Weidt Group |
In the field of numerical optimization, there a concept called design space, a collection of parameter values that meet externally imposed criteria of acceptability. Designers are increasingly interested in understanding the extents of a design space prior to initiating any design studies. How can we run optimization studies on a building before it has been designed? This situation has led to the development of decision guiding mechanisms in our design studios that employs pre-simulated datasets to construct a multi-parameter design space to inform the conceptualization of the guiding concepts of an architectural design.
2.00 Designing an Energy and Water Efficient Hotel Using an Equation-Based Modeling Approach
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Reymundo J. Miranda, P.E., UCI Engineering |
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Sen Huang, University of Miami |
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Wangda Zuo, Ph.D., University of Miami |
In this project, we are designing an energy and water efficient hotel in Miami, Florida, by combining heat recovery and rainwater collection systems. The waste heat from space cooling is used to preheat the domestic hot water. The boilers for domestic hot water system also provide heat source for space heating when needed. The rainwater is collected, stored, and processed for non-potable usage, including cooling tower makeup water. Modelica, which is an equation based modeling language, is adopted to enable the fast modeling of the combined energy and water system as well as their controls.