The Experts below are selected from a list of 14364 Experts worldwide ranked by ideXlab platform
John E Taylor - One of the best experts on this subject based on the ideXlab platform.
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an empirical comparison of internal and external load profile codebook coverage of Building Occupant energy use behavior
2015 International Workshop on Computing in Civil Engineering, 2015Co-Authors: Ardalan Khosrowpour, Rimas Gulbinas, John E TaylorAbstract:Technology independent elements such as the behavior of Building Occupants are significant factors responsible for energy consumption and associated CO2 emissions of the Buildings. Predicting Building Occupants’ energy-use has been identified as one of the most challenging processes due to high intra-class variability of Occupant behavior. Previous research has benefited from classification techniques that serve to simplify the energy profiling by creating a codebook of energy-use patterns for each user. Nevertheless, the optimum level and type of energy-use behavior classification system (i.e., energy-use codebook) remains unknown. In this paper, we build on previous work and compare the relative effectiveness of various approaches to simplified representations, or codebooks, of Building Occupant energyuse behavior. We introduce the methodologies behind the construction of the codebooks and conclude that individually generated codebooks are a more accurate approach to model Occupants’ energy-use compared to the globally generated codebooks. This contributes to the creation of more reliable energy-use profiling methods that can enhance the efficacy of automated energy efficiency programs.
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effects of real time eco feedback and organizational network dynamics on energy efficient behavior in commercial Buildings
Energy and Buildings, 2014Co-Authors: Rimas Gulbinas, John E TaylorAbstract:Abstract Commercial Buildings account for a significant portion of energy consumption and associated carbon emissions around the world. Consequently, many countries are instituting Building energy efficiency policies to mitigate the negative environmental impacts of Building operations. As Building owners and operators act to address the challenge of increasing energy efficiency, Occupant behavior modification programs are growing increasingly popular. Recent advances in energy monitoring and control technologies have enabled the development of eco-feedback systems that collect, process, and relay high resolution, real-time energy consumption information to help Building Occupants control their energy-use. These systems have extended research into the effects of high resolution eco-feedback on Building Occupant behavior and energy efficiency from residential to commercial Building settings. However, little is understood about how organizational network dynamics impact user-engagement levels with such systems and how these network connections may impact the energy conservation behavior of individuals inside commercial Buildings. In this paper, results are presented from a novel 9-week eco-feedback system study which demonstrates that organizational network dynamics can significantly impact energy conservation among commercial Building Occupants. Furthermore, it is shown that exposure to eco-feedback impacts Building Occupant energy conservation differently in commercial office Buildings than it does in residential Buildings.
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investigating the impact eco feedback information representation has on Building Occupant energy consumption behavior and savings
Energy and Buildings, 2013Co-Authors: Rishee K Jain, John E Taylor, Patricia J CulliganAbstract:Abstract In response to rising energy costs and concerns over environmental emissions, researchers and practitioners have developed eco-feedback systems to provide Building Occupants with information on their energy consumption. While such eco-feedback systems have been observed to drive significant reductions in energy consumption, little is known as to what specific design features of these systems are most motivational. One common feature of eco-feedback systems is the way in which energy consumption is represented to users. In this study, we empirically examine the impact that information representation has on energy consumption behavior by comparing the effectiveness of direct energy feedback versus feedback represented as an environmental externality. A 1 month empirical study with 39 participants in an urban residential Building was conducted. Participants were divided into two different study groups: one group was provided with feedback in direct energy units and a second group was provided feedback in environmental externality units. Results revealed that information representation has a statistically significant impact on the energy consumption behavior of users, and that users receiving eco-feedback as an environmental externality reduced their consumption more than their counterparts who received feedback in direct energy units. This study represents a crucial first step toward gaining a deeper understanding of how information representation can be leveraged to maximize energy savings.
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block configuration modeling a novel simulation model to emulate Building Occupant peer networks and their impact on Building energy consumption
Applied Energy, 2013Co-Authors: Jiayu Chen, Rishee K Jain, John E TaylorAbstract:Recent research has shown that providing Building Occupants with eco-feedback regarding their own energy consumption and the consumption of others in their peer network can lead to substantial energy savings. While empirical eco-feedback studies have provided valuable insights into the dynamics of energy consumption behavior and Building Occupant peer networks, such studies have faced challenges in examining consumption behavior in larger and more complex peer networks. Computer simulation and random network models offer a solution to this scalability issue, but current random network models are limited in their ability to mimic real world Building Occupant networks. In this paper, we propose a refined random network model, the Block Configuration Model, and utilize it in an agent-based energy consumption simulation. Results indicate that the Block Configuration Model is more accurate than conventional models when compared to empirical data from three different eco-feedback experiments. The Block Configuration Model advances our understanding of the dynamics of Occupant energy consumption and provides a tool to reduce energy consumption and associated emissions.
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the impact of place based affiliation networks on energy conservation an holistic model that integrates the influence of Buildings residents and the neighborhood context
Energy and Buildings, 2012Co-Authors: Xiaoqi Xu, John E Taylor, Anna Laura Pisello, Patricia J CulliganAbstract:Abstract Models that consider, separately, the energy use of networks of Buildings and networks of Building Occupants have been explored in existing literature toward the goal of understanding the role of Building networks or Occupant networks on Building energy conservation. Yet, the neighborhood surrounding Buildings and their Occupants can also have an influence on energy consumption patterns. Thus, the inclusion of this influence is important in an holistic evaluation of the built environment for aggregate energy performance. We developed an integrated, inter-Building model comprised of a Building network, an Occupant social network, and the surrounding neighborhood facilities, to conduct a three-stage prediction of energy conservation potential for an assumed urban residential block. We inferred utilization of neighborhood facilities from U.S. Census demographic data and then applied affiliation network theory to deduce inter-Building Occupant affiliation networks, and thus predict the potential spread of energy conservation that might be achieved via a combination of social networks and eco-feedback systems for our assumed block. Our model results show that eco-feedback systems that leverage place-based social networks might lead to improvements in energy efficiency performance at the inter-Building level that are comparable to efficiencies gained through typical Building retrofits.
Kenan Gocer - One of the best experts on this subject based on the ideXlab platform.
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spatial mapping of Occupant satisfaction and indoor environment quality in a leed platinum campus Building
Building and Environment, 2014Co-Authors: Ozgur Gocer, Kenan GocerAbstract:Abstract This paper reports a post-occupancy evaluation study of a LEED Platinum Building on a university campus. A multiple-tool POE approach with GIS-based spatial mapping method was used to analyze and visualize the survey results of Building Occupant satisfaction and the measured indoor environment quality. The Occupants were overall satisfied with the indoor environment in their workspaces in the Building of study, though thermal comfort was comparatively low with high percentage of Occupants reporting their workspaces too cold. Air movement was found to be lower than preferred by the Occupants, especially in interior offices where CO 2 level was also predominantly higher. Light levels in the Building were found higher than preferred. Electric lighting power density installed did not reflect the fact that daylight is available for most of the lab and office spaces. Satisfaction with speech privacy was found lower in individual offices related to the construction detail of the connection between curtain wall and interior walls. Linking performance outcomes with spatial information improves POE data management. Spatial mapping allows reasons that cause Occupant discomfort and dissatisfactory measured performance to be identified more intuitively and makes it potentially easier to communicate POE results with architects, engineers and facility management professionals, in order to engage them in the collaborative effort of continuous Building performance improvement.
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spatial mapping of Occupant satisfaction and indoor environment quality in a leed platinum campus Building
Building and Environment, 2014Co-Authors: Ozgur Gocer, Kenan GocerAbstract:Abstract This paper reports a post-occupancy evaluation study of a LEED Platinum Building on a university campus. A multiple-tool POE approach with GIS-based spatial mapping method was used to analyze and visualize the survey results of Building Occupant satisfaction and the measured indoor environment quality. The Occupants were overall satisfied with the indoor environment in their workspaces in the Building of study, though thermal comfort was comparatively low with high percentage of Occupants reporting their workspaces too cold. Air movement was found to be lower than preferred by the Occupants, especially in interior offices where CO 2 level was also predominantly higher. Light levels in the Building were found higher than preferred. Electric lighting power density installed did not reflect the fact that daylight is available for most of the lab and office spaces. Satisfaction with speech privacy was found lower in individual offices related to the construction detail of the connection between curtain wall and interior walls. Linking performance outcomes with spatial information improves POE data management. Spatial mapping allows reasons that cause Occupant discomfort and dissatisfactory measured performance to be identified more intuitively and makes it potentially easier to communicate POE results with architects, engineers and facility management professionals, in order to engage them in the collaborative effort of continuous Building performance improvement.
Jiayu Chen - One of the best experts on this subject based on the ideXlab platform.
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block configuration modeling a novel simulation model to emulate Building Occupant peer networks and their impact on Building energy consumption
Applied Energy, 2013Co-Authors: Jiayu Chen, Rishee K Jain, John E TaylorAbstract:Recent research has shown that providing Building Occupants with eco-feedback regarding their own energy consumption and the consumption of others in their peer network can lead to substantial energy savings. While empirical eco-feedback studies have provided valuable insights into the dynamics of energy consumption behavior and Building Occupant peer networks, such studies have faced challenges in examining consumption behavior in larger and more complex peer networks. Computer simulation and random network models offer a solution to this scalability issue, but current random network models are limited in their ability to mimic real world Building Occupant networks. In this paper, we propose a refined random network model, the Block Configuration Model, and utilize it in an agent-based energy consumption simulation. Results indicate that the Block Configuration Model is more accurate than conventional models when compared to empirical data from three different eco-feedback experiments. The Block Configuration Model advances our understanding of the dynamics of Occupant energy consumption and provides a tool to reduce energy consumption and associated emissions.
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modeling Building Occupant network energy consumption decision making the interplay between network structure and conservation
Energy and Buildings, 2012Co-Authors: Jiayu Chen, John E TaylorAbstract:Abstract The exposure and diffusion of energy consumption information in Building Occupant peer networks has been shown to influence an individual's energy consumption decisions. In this paper, we develop an agent-based computational model for individual energy consumption behavior based on data collected during an experiment on residential energy use. We simulate the Building Occupants’ decision making and the information transmission process. By comparing the impact of several parameters in the network level computational model and validating the parameters in a second experimental setting, our research serves to clarify how network relations can be leveraged for modifying energy consumption behavior. Network degree and weight were identified as the major structural parameters that impact Building Occupants’ conservation decisions, while network size was found to have no significant impact. These findings have important implications for the design and effectiveness of residential energy feedback systems designed to promote energy conservation in residential Buildings.
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toward a Building Occupant network agent based model to simulate peer induced energy conservation behavior
Winter Simulation Conference, 2011Co-Authors: Jiayu Chen, John E Taylor, Hishsien WeiAbstract:Building Occupant networks can impact energy use decision-making. With the use of eco-feedback systems, energy usage information can propagate through social networks and influence an individual's energy consumption decisions. In this paper, we develop a computational model for individual energy consumption behavior and network information transmission. By comparing the impact of several parameters in the network level computational model and validating the parameters in an experimental setting, future research can utilize this model to clarify how network relations can be leveraged for modifying energy conservation behavior.
Ozgur Gocer - One of the best experts on this subject based on the ideXlab platform.
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spatial mapping of Occupant satisfaction and indoor environment quality in a leed platinum campus Building
Building and Environment, 2014Co-Authors: Ozgur Gocer, Kenan GocerAbstract:Abstract This paper reports a post-occupancy evaluation study of a LEED Platinum Building on a university campus. A multiple-tool POE approach with GIS-based spatial mapping method was used to analyze and visualize the survey results of Building Occupant satisfaction and the measured indoor environment quality. The Occupants were overall satisfied with the indoor environment in their workspaces in the Building of study, though thermal comfort was comparatively low with high percentage of Occupants reporting their workspaces too cold. Air movement was found to be lower than preferred by the Occupants, especially in interior offices where CO 2 level was also predominantly higher. Light levels in the Building were found higher than preferred. Electric lighting power density installed did not reflect the fact that daylight is available for most of the lab and office spaces. Satisfaction with speech privacy was found lower in individual offices related to the construction detail of the connection between curtain wall and interior walls. Linking performance outcomes with spatial information improves POE data management. Spatial mapping allows reasons that cause Occupant discomfort and dissatisfactory measured performance to be identified more intuitively and makes it potentially easier to communicate POE results with architects, engineers and facility management professionals, in order to engage them in the collaborative effort of continuous Building performance improvement.
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spatial mapping of Occupant satisfaction and indoor environment quality in a leed platinum campus Building
Building and Environment, 2014Co-Authors: Ozgur Gocer, Kenan GocerAbstract:Abstract This paper reports a post-occupancy evaluation study of a LEED Platinum Building on a university campus. A multiple-tool POE approach with GIS-based spatial mapping method was used to analyze and visualize the survey results of Building Occupant satisfaction and the measured indoor environment quality. The Occupants were overall satisfied with the indoor environment in their workspaces in the Building of study, though thermal comfort was comparatively low with high percentage of Occupants reporting their workspaces too cold. Air movement was found to be lower than preferred by the Occupants, especially in interior offices where CO 2 level was also predominantly higher. Light levels in the Building were found higher than preferred. Electric lighting power density installed did not reflect the fact that daylight is available for most of the lab and office spaces. Satisfaction with speech privacy was found lower in individual offices related to the construction detail of the connection between curtain wall and interior walls. Linking performance outcomes with spatial information improves POE data management. Spatial mapping allows reasons that cause Occupant discomfort and dissatisfactory measured performance to be identified more intuitively and makes it potentially easier to communicate POE results with architects, engineers and facility management professionals, in order to engage them in the collaborative effort of continuous Building performance improvement.
Patricia J Culligan - One of the best experts on this subject based on the ideXlab platform.
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investigating the impact eco feedback information representation has on Building Occupant energy consumption behavior and savings
Energy and Buildings, 2013Co-Authors: Rishee K Jain, John E Taylor, Patricia J CulliganAbstract:Abstract In response to rising energy costs and concerns over environmental emissions, researchers and practitioners have developed eco-feedback systems to provide Building Occupants with information on their energy consumption. While such eco-feedback systems have been observed to drive significant reductions in energy consumption, little is known as to what specific design features of these systems are most motivational. One common feature of eco-feedback systems is the way in which energy consumption is represented to users. In this study, we empirically examine the impact that information representation has on energy consumption behavior by comparing the effectiveness of direct energy feedback versus feedback represented as an environmental externality. A 1 month empirical study with 39 participants in an urban residential Building was conducted. Participants were divided into two different study groups: one group was provided with feedback in direct energy units and a second group was provided feedback in environmental externality units. Results revealed that information representation has a statistically significant impact on the energy consumption behavior of users, and that users receiving eco-feedback as an environmental externality reduced their consumption more than their counterparts who received feedback in direct energy units. This study represents a crucial first step toward gaining a deeper understanding of how information representation can be leveraged to maximize energy savings.
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the impact of place based affiliation networks on energy conservation an holistic model that integrates the influence of Buildings residents and the neighborhood context
Energy and Buildings, 2012Co-Authors: Xiaoqi Xu, John E Taylor, Anna Laura Pisello, Patricia J CulliganAbstract:Abstract Models that consider, separately, the energy use of networks of Buildings and networks of Building Occupants have been explored in existing literature toward the goal of understanding the role of Building networks or Occupant networks on Building energy conservation. Yet, the neighborhood surrounding Buildings and their Occupants can also have an influence on energy consumption patterns. Thus, the inclusion of this influence is important in an holistic evaluation of the built environment for aggregate energy performance. We developed an integrated, inter-Building model comprised of a Building network, an Occupant social network, and the surrounding neighborhood facilities, to conduct a three-stage prediction of energy conservation potential for an assumed urban residential block. We inferred utilization of neighborhood facilities from U.S. Census demographic data and then applied affiliation network theory to deduce inter-Building Occupant affiliation networks, and thus predict the potential spread of energy conservation that might be achieved via a combination of social networks and eco-feedback systems for our assumed block. Our model results show that eco-feedback systems that leverage place-based social networks might lead to improvements in energy efficiency performance at the inter-Building level that are comparable to efficiencies gained through typical Building retrofits.
