Gabriel Peschiera

New York, New York, United States Contact Info
2K followers 500+ connections

Join to view profile

About

Building systems expert focused on technology that makes offices better for the people…

Activity

Join now to see all activity

Experience & Education

  • Numa Products

View Gabriel’s full experience

See their title, tenure and more.

or

By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.

Licenses & Certifications

  • Licensed Professional Engineer

    State of New York

    Issued
    Credential ID 096598
  • Certified Energy Manager Graphic

    Certified Energy Manager

    Association of Energy Engineers

    Issued Expires
    Credential ID 20826
  • Existing Building Commissioning Professional Graphic

    Existing Building Commissioning Professional

    Association of Energy Engineers

    Issued Expires
    Credential ID 95073
  • BPI Multi-Family Building Analyst Professional

    Building Performance Institute

    Credential ID 5033525

Publications

  • Network Ecoinformatics: Development of a Social Ecofeedback System to Drive Energy Efficiency in Residential Buildings

    Journal of Computing in Civil Engineering

    This paper presents a novel ecofeedback system called Watt’s Watts, which is designed to leverage the impacts of individual and social feedback to influence energy consumption behavior

    See publication
  • The impact of peer network position on electricity consumption in building occupant networks utilizing energy feedback systems

    Energy and Buildings

    There is a growing need to reduce building energy consumption to limit greenhouse gas emissions and lessen the strain on our electricity grids. Researchers have shown that people are more likely to implement conservation practices in response to energy consumption feedback the more socially proximal the norm provided in that feedback. It has also been shown that sharing individual room-level electricity usage information with peers is more effective in inducing consumption reduction than…

    There is a growing need to reduce building energy consumption to limit greenhouse gas emissions and lessen the strain on our electricity grids. Researchers have shown that people are more likely to implement conservation practices in response to energy consumption feedback the more socially proximal the norm provided in that feedback. It has also been shown that sharing individual room-level electricity usage information with peers is more effective in inducing consumption reduction than exposure to generic norms. Designers of energy use feedback systems are leveraging social networks to encourage energy-efficient behavior. Yet, despite growing interest in the role of peer networks to induce energy savings, we know little about how properties of peer networks, such as a given user's position in a peer network, impact consumption behavior. In a 22-room study group where building residents shared room-level electricity consumption information among peer groups in the same building, we tested the correlation of network degree and Eigenvector centrality with percent change in consumption relative to non-participants. This result shows that energy use feedback is more effective in promoting the implementation of energy saving practices as more peers share energy usage information through the feedback system. This finding underscores the importance of exploring and exploiting linkages between social structure and energy conservation.

    See publication
  • Factors impacting usage patterns of collaborative tools designed to support global virtual design project networks

    Information Technology in Construction

    The purpose of this paper is to highlight some of the competing factors that impact the usage patterns and adoption of collaborative tools designed to support global virtual collaborative work. Through an analysis of frequency data and recorded interactions, we present findings from a semester-long study of design collaboration in the CyberGRID (Cyber-enabled Global Research Infrastructure for Design), a virtual collaborative space developed in Second Life to support design work in global…

    The purpose of this paper is to highlight some of the competing factors that impact the usage patterns and adoption of collaborative tools designed to support global virtual collaborative work. Through an analysis of frequency data and recorded interactions, we present findings from a semester-long study of design collaboration in the CyberGRID (Cyber-enabled Global Research Infrastructure for Design), a virtual collaborative space developed in Second Life to support design work in global virtual networks. We discuss tools designed to facilitate the collaborative interaction of seven global virtual networks of designers composed of students from The University of Twente (The Netherlands), Columbia University (United States), the University of Washington (United States), The Indian Institute of Technology – Madras (India) and the Helsinki University of Technology (Finland). Each domestic team was responsible for one component of an integrated design task including the creation of a work schedule, 3D building model, 4D model mapping the work schedule to the 3D model, and a cost estimate. We demonstrate that a number of factors impact tool usage patterns and adoption, including the simplicity of the tool, whether the tool promotes group cohesion, the emergent need for the tools, and local factors specific to the experiences of the domestic teams. We conclude with a discussion of the viability of Second Life as a platform for virtualizing the engineering workforce and highlight challenges of researching and developing tools to support global virtual networks of designers executing complex projects.

    See publication
  • Response–relapse patterns of building occupant electricity consumption following exposure to personal, contextualized and occupant peer network utilization data

    Energy and Buildings

    Behavior can account for significant differences in building energy use. Monitoring and reporting of building energy use may induce occupants to conserve energy. The goal of this study was to assess the behavioral impact of providing building occupants with personal electricity utilization data contextualized with different social frames of reference. We installed monitoring equipment on the electrical meters for 83 rooms of a six-floor residential dormitory building and formulated three study…

    Behavior can account for significant differences in building energy use. Monitoring and reporting of building energy use may induce occupants to conserve energy. The goal of this study was to assess the behavioral impact of providing building occupants with personal electricity utilization data contextualized with different social frames of reference. We installed monitoring equipment on the electrical meters for 83 rooms of a six-floor residential dormitory building and formulated three study groups and a control group from the building occupants. One study group was provided with their own electricity use, a second group was provided their own electricity use contextualized with average building occupant utilization, and a third group was provided with their own electricity use contextualized with both average occupant utilization and the electricity use of their peer network in the building. The only group that significantly reduced their electricity use when compared to the control group was the study group that could view peer network utilization. All three study groups exhibited response–relapse patterns after viewing their electricity consumption raising important questions about the sustainability of energy conservation and monitoring efforts.

    See publication

Languages

  • Spanish

    -

  • French

    -

More activity by Gabriel

View Gabriel’s full profile

  • See who you know in common
  • Get introduced
  • Contact Gabriel directly
Join to view full profile

People also viewed

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More

Others named Gabriel Peschiera

Add new skills with these courses