Tag Archives: Grad

Bulletin Story-Bentley Research Project 2016

Graduate student, Zhouqian Jiang, spent last summer working with Bentley to generate a geospatially accurate 3D reality mesh model of the University Park campus at Penn State, and integrate the facility asset data from Maximo database with the model. The integrated model provides a better spatial interpretation of maintenance tasks, and facilitates a more efficient maintenance personnel distribution. In addition, 3D viewing capability can benefit the maintenance decision-making by providing detailed views of building facades and roofs, and also provides a relationship with the surrounding area (i.e., trees and other buildings). A taxonomy for diverse use cases of virtual 3D city models has been further developed. The taxonomy presents a structure of how these models are applied and allows model users to understand the scope of applications that virtual 3D city models can offer. Further evaluation and validation of the taxonomy should be developed.

For more information on this research, please reach out to Zhouqian Jiang (zpj5026@psu.edu) and Dr. Messner (jmessner@engr.psu.edu) or visit his website here.

Developing of an Optimization Tool to Optimize the Façade Design across Energy, Material, and Lifecycle Cost Criteria

Due to the high contribution of buildings system design decisions to both long term energy consumption and associated greenhouse gas emissions, reducing building energy use is a key path to decrease buildings’ environmental footprint. The purpose of this study is to use an optimization approach to alternative design options, seeking designs that reduce the energy consumption, reduce the environmental impact from material selection, as well as decrease the construction and maintenance costs as early as possible in the design process.

In the current study, a multi-objective optimization model, using the Harmony Search (HS) algorithm, is in development to identify how to best combine design variables, to create a solution that will improve building energy efficiency while also decreasing the life cycle costs. This model considers multiple building envelope materials as design input variables to identify optimum design scenarios with the lowest environmental emissions and life cycle costs.

For more information on this research, please reach out to Ehsan Mostavi (ehsan.mostavi@gmail.com) or Dr. Somayeh Asadi (asadi@engr.psu.edu).

Graduate Student Collaborates with University of Auckland for BIM and BMS Data Visualization

bim-to-asset-data-visual_2Graduate stud, Jennifer Lather, spent her summer working with Dr. Robert Amor in the Department of Computer Science in Auckland, New Zealand. During this time, they explored BIM and BMS sensor data and current visualization systems typically used by managers and operators of buildings.

They were exploring data access and transparency with building occupants and investigated ways to show building operations data to end users of those facilities. bim-to-asset-data-visual_2She created a pilot interactive data visualization system for viewing building operations data within a 3D environment and explored various levels of data visualization, including building, floor, and room levels. Further research and development into various use cases are currently being explored.

Submitted by: Jennifer Lather (jil115@psu.edu),
PhD Candidate in Architectural Engineering

Forecasting Occupant Comfort for Improved Energy Model Analysis

Indoor environments should meet the needs of the occupants and enhance their comfort, health and productivity. Efforts to reduce energy consumption often lead to decreased satisfaction for building occupants. These modifications to the environment often cause occupants to change their behavior to improve their personal comfort, often resulting in additional energy use and often cancelling any intended energy improvements.

This study examines how occupant behavior can be more accurately predicted based upon demographics and comfort profiles. Surveys and continuous energy monitoring results provide an in-depth understanding of the indoor environment preferences of the occupants and their energy consumption habits. The data are collected for two case study buildings in Pennsylvania, and two in Doha, Qatar and will be modeled into a machine learning algorithm to forecast occupant comfort desires ad behaviors in a space. A simulation platform is being developed that can accept occupant behavior and preferences as inputs and produce corresponding energy consumption behavior data to help better forecast the user impacts for different design decisions.

For more information on this research please reach out to Yewande Abraham (YSA104@psu.edu) or Dr. Somayeh Asadi (asadi@engr.psu.edu) and Dr. Chimay Anumba (Anumba@engr.psu.edu).

AE Grad Student Presents at VR Workshop

In early October, graduate student Jennifer Lather was invited to attend and present at a workshop in Immersive Visualization for Construction, Engineering, and Design at Odeh Engineers’ Rhode Island office. She presented a survey of interactive workspaces, or technology-enabled spaces, in a session devoted to understanding the breadth of these technological options to support AEC industry specific tasks. In addition, she held a focus group that concentrated on the classification of these spaces and their respective use cases. Session participants furthered their understanding of the value of interactive workspaces and their respective uses in AEC project settings. Participants also brainstormed additional present and future uses in terms of reasonability and desirability for trends in the AEC Industry. A summary of the results will be developed and incorporated into Lather’s Master’s thesis, expected to be available in December 2015. The workshop was sponsored by Scalable Display Technologies, a software company specializing in large format display image blending.