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description Publicationkeyboard_double_arrow_right Conference object , Article 2020 SwitzerlandPublisher:ACM Authors:Dougherty, Thomas R.;
Dougherty, Thomas R.
Dougherty, Thomas R. in OpenAIRESonta, Andrew James;
Jain, Rishee K.;Sonta, Andrew James
Sonta, Andrew James in OpenAIRECOVID-19 has touched almost all facets of modern life. As part of this global shift, many employers have recommended employees work from home in an effort to curb the spread of infection. When organizations bring workers back to the office, the specific policies for personnel reintroduction will shape both productivity and the spread of disease. This study explores the secondary social and energy impacts of potential reintroduction policies. Using a socio-organizational network inferred from an office in Redwood City, California, we define social, epidemic resistance, and energy metrics which are used to compare the character of personnel reintroduction plans. Our notable findings are, first, that the choice of which occupants return has a large effect on modeled network-level epidemic resistance. Second, where the occupants are located can significantly impact overlap in space-use within smaller spatial zones - a concept related to social distancing. In summary, this work is a critical first step in demonstrating the value of intelligent occupant network topology based reintroduction schemes in offices that can minimize: disease spread, socio-organizational disruptions and building energy use impacts.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3408308.3427616&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3408308.3427616&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2020 SwitzerlandPublisher:ACM Authors:Dougherty, Thomas R.;
Dougherty, Thomas R.
Dougherty, Thomas R. in OpenAIRESonta, Andrew James;
Jain, Rishee K.;Sonta, Andrew James
Sonta, Andrew James in OpenAIRECOVID-19 has touched almost all facets of modern life. As part of this global shift, many employers have recommended employees work from home in an effort to curb the spread of infection. When organizations bring workers back to the office, the specific policies for personnel reintroduction will shape both productivity and the spread of disease. This study explores the secondary social and energy impacts of potential reintroduction policies. Using a socio-organizational network inferred from an office in Redwood City, California, we define social, epidemic resistance, and energy metrics which are used to compare the character of personnel reintroduction plans. Our notable findings are, first, that the choice of which occupants return has a large effect on modeled network-level epidemic resistance. Second, where the occupants are located can significantly impact overlap in space-use within smaller spatial zones - a concept related to social distancing. In summary, this work is a critical first step in demonstrating the value of intelligent occupant network topology based reintroduction schemes in offices that can minimize: disease spread, socio-organizational disruptions and building energy use impacts.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3408308.3427616&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3408308.3427616&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2022 SwitzerlandPublisher:American Society of Civil Engineers (ASCE) Authors:Sonta, Andrew James;
Wei, Peter; Liu, Yanchen; Jiang, Xiaofan;Sonta, Andrew James
Sonta, Andrew James in OpenAIREBuilding energy consumption comprises a highly complex set of dynamics that critically depend on the behavior of building occupants. A key area of ongoing research is the simulation of energy consumption for evaluation of occupant-centric building design or management interventions (e.g., building layouts, suggestions to occupants). Researchers have shown that standard physics-based simulation tools like EnergyPlus exhibit large errors when compared to measured data, which has largely been attributed to difficulties in handling occupancy data. To address this performance gap, scholars have noted the promise of data-driven simulation tools. However, a key remaining challenge is the integration of granular (e.g., zone- or room-level) occupancy data for prediction of energy consumption at these granular scales. Such analysis can enable rapid simulation of the effects of new building states (e.g., occupancy patterns) for evaluation of potential building interventions (e.g., schedule-shifting). In this paper, we use real-time data from ambient sensors in a test bed and train a data-driven model to predict HVAC energy consumption using occupancy, temperature, humidity, and temporal features, each collected with high spatial and temporal granularity. We find that our data-driven approach outperforms EnergyPlus, even when adjusted with calibration tools [CV(RMSE) improvement of 49% to 84%]. We also find that our trained data-driven model is able to make energy predictions in near real-time (sub-second), which enables rapid evaluation of building interventions. Overall, this sensor-based and data-driven approach to building energy simulation can enable new occupant-centric building management strategies that save energy and promote well-being in the built environment.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1061/9780784483893.141&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1061/9780784483893.141&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object 2022 SwitzerlandPublisher:American Society of Civil Engineers (ASCE) Authors:Sonta, Andrew James;
Wei, Peter; Liu, Yanchen; Jiang, Xiaofan;Sonta, Andrew James
Sonta, Andrew James in OpenAIREBuilding energy consumption comprises a highly complex set of dynamics that critically depend on the behavior of building occupants. A key area of ongoing research is the simulation of energy consumption for evaluation of occupant-centric building design or management interventions (e.g., building layouts, suggestions to occupants). Researchers have shown that standard physics-based simulation tools like EnergyPlus exhibit large errors when compared to measured data, which has largely been attributed to difficulties in handling occupancy data. To address this performance gap, scholars have noted the promise of data-driven simulation tools. However, a key remaining challenge is the integration of granular (e.g., zone- or room-level) occupancy data for prediction of energy consumption at these granular scales. Such analysis can enable rapid simulation of the effects of new building states (e.g., occupancy patterns) for evaluation of potential building interventions (e.g., schedule-shifting). In this paper, we use real-time data from ambient sensors in a test bed and train a data-driven model to predict HVAC energy consumption using occupancy, temperature, humidity, and temporal features, each collected with high spatial and temporal granularity. We find that our data-driven approach outperforms EnergyPlus, even when adjusted with calibration tools [CV(RMSE) improvement of 49% to 84%]. We also find that our trained data-driven model is able to make energy predictions in near real-time (sub-second), which enables rapid evaluation of building interventions. Overall, this sensor-based and data-driven approach to building energy simulation can enable new occupant-centric building management strategies that save energy and promote well-being in the built environment.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1061/9780784483893.141&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1061/9780784483893.141&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Embargo end date: 29 Jun 2022 Italy, Australia, United Kingdom, Switzerland, Italy, Italy, United States, Italy, Italy, Australia, Germany, Denmark, ItalyPublisher:Springer Science and Business Media LLC Funded by:NSF | CAREER: Holistic Assessme...NSF| CAREER: Holistic Assessment of the Impacts of Connected Buildings and People on Community Energy Planning and ManagementAuthors:Bing Dong;
Bing Dong
Bing Dong in OpenAIREYapan Liu;
Yapan Liu
Yapan Liu in OpenAIREWei Mu;
Zixin Jiang; +53 AuthorsWei Mu
Wei Mu in OpenAIREBing Dong;
Bing Dong
Bing Dong in OpenAIREYapan Liu;
Yapan Liu
Yapan Liu in OpenAIREWei Mu;
Zixin Jiang;Wei Mu
Wei Mu in OpenAIREPratik Pandey;
Pratik Pandey
Pratik Pandey in OpenAIRETianzhen Hong;
Tianzhen Hong
Tianzhen Hong in OpenAIREBjarne W. Olesen;
Thomas Lawrence; Zheng O'Neil;Bjarne W. Olesen
Bjarne W. Olesen in OpenAIREClinton Andrews;
Clinton Andrews
Clinton Andrews in OpenAIREElie Azar;
Elie Azar
Elie Azar in OpenAIREKarol Bandurski;
Karol Bandurski
Karol Bandurski in OpenAIRERonita Bardhan;
Ronita Bardhan
Ronita Bardhan in OpenAIREMateus Bavaresco;
Mateus Bavaresco
Mateus Bavaresco in OpenAIREChristiane Berger;
Christiane Berger
Christiane Berger in OpenAIREJane Burry;
Jane Burry
Jane Burry in OpenAIRESalvatore Carlucci;
Salvatore Carlucci
Salvatore Carlucci in OpenAIREKarin M. S. Chvatal;
Karin M. S. Chvatal
Karin M. S. Chvatal in OpenAIREMarilena De Simone;
Marilena De Simone
Marilena De Simone in OpenAIRES. Erba;
S. Erba
S. Erba in OpenAIRENan Gao;
Lindsay T. Graham;Camila Grassi;
Camila Grassi
Camila Grassi in OpenAIRERishee K. Jain;
Rishee K. Jain
Rishee K. Jain in OpenAIRESanjay Kumar;
Sanjay Kumar
Sanjay Kumar in OpenAIREMikkel Baun Kjærgaard;
Mikkel Baun Kjærgaard
Mikkel Baun Kjærgaard in OpenAIRESepideh Sadat Korsavi;
Sepideh Sadat Korsavi
Sepideh Sadat Korsavi in OpenAIREJared Langevin;
Jared Langevin
Jared Langevin in OpenAIREZhengrong Li;
Zhengrong Li
Zhengrong Li in OpenAIREAleksandra Lipczyńska;
Aleksandra Lipczyńska
Aleksandra Lipczyńska in OpenAIREArdeshir Mahdavi;
Ardeshir Mahdavi
Ardeshir Mahdavi in OpenAIREJeetika Malik;
Jeetika Malik
Jeetika Malik in OpenAIREMax Marschall;
Max Marschall
Max Marschall in OpenAIREZoltán Nagy;
Zoltán Nagy
Zoltán Nagy in OpenAIRELetícia de Oliveira Neves;
Letícia de Oliveira Neves
Letícia de Oliveira Neves in OpenAIREWilliam O'Brien;
William O'Brien
William O'Brien in OpenAIRESong Pan;
Song Pan
Song Pan in OpenAIREJune Young Park;
June Young Park
June Young Park in OpenAIREIlaria Pigliautile;
Ilaria Pigliautile
Ilaria Pigliautile in OpenAIRECristina Piselli;
Cristina Piselli
Cristina Piselli in OpenAIREAnna Laura Pisello;
Anna Laura Pisello
Anna Laura Pisello in OpenAIREHamed Nabizadeh Rafsanjani;
Hamed Nabizadeh Rafsanjani
Hamed Nabizadeh Rafsanjani in OpenAIRERicardo Forgiarini Rupp;
Ricardo Forgiarini Rupp
Ricardo Forgiarini Rupp in OpenAIREFlora D. Salim;
Flora D. Salim
Flora D. Salim in OpenAIREStefano Schiavon;
Stefano Schiavon
Stefano Schiavon in OpenAIREJens Hjort Schwee;
Jens Hjort Schwee
Jens Hjort Schwee in OpenAIREAndrew Sonta;
Andrew Sonta
Andrew Sonta in OpenAIREMarianne F. Touchie;
Marianne F. Touchie
Marianne F. Touchie in OpenAIREAndreas Wagner;
Andreas Wagner
Andreas Wagner in OpenAIRES. Walsh;
S. Walsh
S. Walsh in OpenAIREZhe Wang;
D.M. Webber;Zhe Wang
Zhe Wang in OpenAIREDa Yan;
Da Yan
Da Yan in OpenAIREPaolo Zangheri;
Paolo Zangheri
Paolo Zangheri in OpenAIREJingsi Zhang;
Jingsi Zhang
Jingsi Zhang in OpenAIREXiang Zhou;
Xiang Zhou
Xiang Zhou in OpenAIREXia Zhou;
Xia Zhou
Xia Zhou in OpenAIREdoi: 10.1038/s41597-022-01475-3 , 10.17863/cam.86008 , 10.60692/nh9kf-y1d67 , 10.5445/ir/1000149307 , 10.60692/fp6a3-6c383 , 10.17863/cam.87089
pmid: 35764639
pmc: PMC9240009
handle: 20.500.11770/335683 , 11383/2177255 , 11311/1228447 , 11391/1540140 , 2158/1286630 , 1959.3/467832
doi: 10.1038/s41597-022-01475-3 , 10.17863/cam.86008 , 10.60692/nh9kf-y1d67 , 10.5445/ir/1000149307 , 10.60692/fp6a3-6c383 , 10.17863/cam.87089
pmid: 35764639
pmc: PMC9240009
handle: 20.500.11770/335683 , 11383/2177255 , 11311/1228447 , 11391/1540140 , 2158/1286630 , 1959.3/467832
AbstractThis paper introduces a database of 34 field-measured building occupant behavior datasets collected from 15 countries and 39 institutions across 10 climatic zones covering various building types in both commercial and residential sectors. This is a comprehensive global database about building occupant behavior. The database includes occupancy patterns (i.e., presence and people count) and occupant behaviors (i.e., interactions with devices, equipment, and technical systems in buildings). Brick schema models were developed to represent sensor and room metadata information. The database is publicly available, and a website was created for the public to access, query, and download specific datasets or the whole database interactively. The database can help to advance the knowledge and understanding of realistic occupancy patterns and human-building interactions with building systems (e.g., light switching, set-point changes on thermostats, fans on/off, etc.) and envelopes (e.g., window opening/closing). With these more realistic inputs of occupants’ schedules and their interactions with buildings and systems, building designers, energy modelers, and consultants can improve the accuracy of building energy simulation and building load forecasting.
Scientific Data arrow_drop_down Flore (Florence Research Repository)Article . 2022License: CC BYData sources: Flore (Florence Research Repository)University of California: eScholarshipArticle . 2022Full-Text: https://escholarship.org/uc/item/2qt9p499Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Online Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyScientific DataArticle . 2022License: CC BYData sources: University of Southern Denmark Research OutputArchivio Istituzionale dell'Università della CalabriaArticle . 2022Data sources: Archivio Istituzionale dell'Università della CalabriaeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaSwinburne University of Technology: Swinburne Research BankArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01475-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 61 citations 61 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Scientific Data arrow_drop_down Flore (Florence Research Repository)Article . 2022License: CC BYData sources: Flore (Florence Research Repository)University of California: eScholarshipArticle . 2022Full-Text: https://escholarship.org/uc/item/2qt9p499Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Online Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyScientific DataArticle . 2022License: CC BYData sources: University of Southern Denmark Research OutputArchivio Istituzionale dell'Università della CalabriaArticle . 2022Data sources: Archivio Istituzionale dell'Università della CalabriaeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaSwinburne University of Technology: Swinburne Research BankArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01475-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Embargo end date: 29 Jun 2022 Italy, Australia, United Kingdom, Switzerland, Italy, Italy, United States, Italy, Italy, Australia, Germany, Denmark, ItalyPublisher:Springer Science and Business Media LLC Funded by:NSF | CAREER: Holistic Assessme...NSF| CAREER: Holistic Assessment of the Impacts of Connected Buildings and People on Community Energy Planning and ManagementAuthors:Bing Dong;
Bing Dong
Bing Dong in OpenAIREYapan Liu;
Yapan Liu
Yapan Liu in OpenAIREWei Mu;
Zixin Jiang; +53 AuthorsWei Mu
Wei Mu in OpenAIREBing Dong;
Bing Dong
Bing Dong in OpenAIREYapan Liu;
Yapan Liu
Yapan Liu in OpenAIREWei Mu;
Zixin Jiang;Wei Mu
Wei Mu in OpenAIREPratik Pandey;
Pratik Pandey
Pratik Pandey in OpenAIRETianzhen Hong;
Tianzhen Hong
Tianzhen Hong in OpenAIREBjarne W. Olesen;
Thomas Lawrence; Zheng O'Neil;Bjarne W. Olesen
Bjarne W. Olesen in OpenAIREClinton Andrews;
Clinton Andrews
Clinton Andrews in OpenAIREElie Azar;
Elie Azar
Elie Azar in OpenAIREKarol Bandurski;
Karol Bandurski
Karol Bandurski in OpenAIRERonita Bardhan;
Ronita Bardhan
Ronita Bardhan in OpenAIREMateus Bavaresco;
Mateus Bavaresco
Mateus Bavaresco in OpenAIREChristiane Berger;
Christiane Berger
Christiane Berger in OpenAIREJane Burry;
Jane Burry
Jane Burry in OpenAIRESalvatore Carlucci;
Salvatore Carlucci
Salvatore Carlucci in OpenAIREKarin M. S. Chvatal;
Karin M. S. Chvatal
Karin M. S. Chvatal in OpenAIREMarilena De Simone;
Marilena De Simone
Marilena De Simone in OpenAIRES. Erba;
S. Erba
S. Erba in OpenAIRENan Gao;
Lindsay T. Graham;Camila Grassi;
Camila Grassi
Camila Grassi in OpenAIRERishee K. Jain;
Rishee K. Jain
Rishee K. Jain in OpenAIRESanjay Kumar;
Sanjay Kumar
Sanjay Kumar in OpenAIREMikkel Baun Kjærgaard;
Mikkel Baun Kjærgaard
Mikkel Baun Kjærgaard in OpenAIRESepideh Sadat Korsavi;
Sepideh Sadat Korsavi
Sepideh Sadat Korsavi in OpenAIREJared Langevin;
Jared Langevin
Jared Langevin in OpenAIREZhengrong Li;
Zhengrong Li
Zhengrong Li in OpenAIREAleksandra Lipczyńska;
Aleksandra Lipczyńska
Aleksandra Lipczyńska in OpenAIREArdeshir Mahdavi;
Ardeshir Mahdavi
Ardeshir Mahdavi in OpenAIREJeetika Malik;
Jeetika Malik
Jeetika Malik in OpenAIREMax Marschall;
Max Marschall
Max Marschall in OpenAIREZoltán Nagy;
Zoltán Nagy
Zoltán Nagy in OpenAIRELetícia de Oliveira Neves;
Letícia de Oliveira Neves
Letícia de Oliveira Neves in OpenAIREWilliam O'Brien;
William O'Brien
William O'Brien in OpenAIRESong Pan;
Song Pan
Song Pan in OpenAIREJune Young Park;
June Young Park
June Young Park in OpenAIREIlaria Pigliautile;
Ilaria Pigliautile
Ilaria Pigliautile in OpenAIRECristina Piselli;
Cristina Piselli
Cristina Piselli in OpenAIREAnna Laura Pisello;
Anna Laura Pisello
Anna Laura Pisello in OpenAIREHamed Nabizadeh Rafsanjani;
Hamed Nabizadeh Rafsanjani
Hamed Nabizadeh Rafsanjani in OpenAIRERicardo Forgiarini Rupp;
Ricardo Forgiarini Rupp
Ricardo Forgiarini Rupp in OpenAIREFlora D. Salim;
Flora D. Salim
Flora D. Salim in OpenAIREStefano Schiavon;
Stefano Schiavon
Stefano Schiavon in OpenAIREJens Hjort Schwee;
Jens Hjort Schwee
Jens Hjort Schwee in OpenAIREAndrew Sonta;
Andrew Sonta
Andrew Sonta in OpenAIREMarianne F. Touchie;
Marianne F. Touchie
Marianne F. Touchie in OpenAIREAndreas Wagner;
Andreas Wagner
Andreas Wagner in OpenAIRES. Walsh;
S. Walsh
S. Walsh in OpenAIREZhe Wang;
D.M. Webber;Zhe Wang
Zhe Wang in OpenAIREDa Yan;
Da Yan
Da Yan in OpenAIREPaolo Zangheri;
Paolo Zangheri
Paolo Zangheri in OpenAIREJingsi Zhang;
Jingsi Zhang
Jingsi Zhang in OpenAIREXiang Zhou;
Xiang Zhou
Xiang Zhou in OpenAIREXia Zhou;
Xia Zhou
Xia Zhou in OpenAIREdoi: 10.1038/s41597-022-01475-3 , 10.17863/cam.86008 , 10.60692/nh9kf-y1d67 , 10.5445/ir/1000149307 , 10.60692/fp6a3-6c383 , 10.17863/cam.87089
pmid: 35764639
pmc: PMC9240009
handle: 20.500.11770/335683 , 11383/2177255 , 11311/1228447 , 11391/1540140 , 2158/1286630 , 1959.3/467832
doi: 10.1038/s41597-022-01475-3 , 10.17863/cam.86008 , 10.60692/nh9kf-y1d67 , 10.5445/ir/1000149307 , 10.60692/fp6a3-6c383 , 10.17863/cam.87089
pmid: 35764639
pmc: PMC9240009
handle: 20.500.11770/335683 , 11383/2177255 , 11311/1228447 , 11391/1540140 , 2158/1286630 , 1959.3/467832
AbstractThis paper introduces a database of 34 field-measured building occupant behavior datasets collected from 15 countries and 39 institutions across 10 climatic zones covering various building types in both commercial and residential sectors. This is a comprehensive global database about building occupant behavior. The database includes occupancy patterns (i.e., presence and people count) and occupant behaviors (i.e., interactions with devices, equipment, and technical systems in buildings). Brick schema models were developed to represent sensor and room metadata information. The database is publicly available, and a website was created for the public to access, query, and download specific datasets or the whole database interactively. The database can help to advance the knowledge and understanding of realistic occupancy patterns and human-building interactions with building systems (e.g., light switching, set-point changes on thermostats, fans on/off, etc.) and envelopes (e.g., window opening/closing). With these more realistic inputs of occupants’ schedules and their interactions with buildings and systems, building designers, energy modelers, and consultants can improve the accuracy of building energy simulation and building load forecasting.
Scientific Data arrow_drop_down Flore (Florence Research Repository)Article . 2022License: CC BYData sources: Flore (Florence Research Repository)University of California: eScholarshipArticle . 2022Full-Text: https://escholarship.org/uc/item/2qt9p499Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Online Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyScientific DataArticle . 2022License: CC BYData sources: University of Southern Denmark Research OutputArchivio Istituzionale dell'Università della CalabriaArticle . 2022Data sources: Archivio Istituzionale dell'Università della CalabriaeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaSwinburne University of Technology: Swinburne Research BankArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01475-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 61 citations 61 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Scientific Data arrow_drop_down Flore (Florence Research Repository)Article . 2022License: CC BYData sources: Flore (Florence Research Repository)University of California: eScholarshipArticle . 2022Full-Text: https://escholarship.org/uc/item/2qt9p499Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Online Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyScientific DataArticle . 2022License: CC BYData sources: University of Southern Denmark Research OutputArchivio Istituzionale dell'Università della CalabriaArticle . 2022Data sources: Archivio Istituzionale dell'Università della CalabriaeScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of CaliforniaSwinburne University of Technology: Swinburne Research BankArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01475-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Other literature type 2018 SwitzerlandPublisher:ACM Authors:Sonta, Andrew James;
Sonta, Andrew James
Sonta, Andrew James in OpenAIREJain, Rishee K.;
Jain, Rishee K.
Jain, Rishee K. in OpenAIRETo design and manage office buildings that are both energy-efficient and productive work environments, we need a better understanding of the relationship between building and occupant systems. Past data-driven building research has focused on energy efficiency and occupant comfort, but little work has used building sensor data to understand occupant organizational behavior and dynamics in buildings. In this initial work, we present a methodology for using distributed plug load energy consumption sensors to infer the social/organizational network of occupants (i.e., the relationships among occupants in a building). We demonstrate how plug load data can be used to model activities, and we introduce how statistical methods---in particular, the graphical lasso and the influence model---can be used to learn network structure from time-series activity data. We apply our method to a seven-person office environment in Northern California, and we compare the inferred networks to ground truth spatial, social, and organizational networks obtained through validated survey questions. In the end, a better understanding of how occupants organize and utilize spaces could enable more contextual control and co-optimization of building-human systems.
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1145/327677...Conference object . 2018 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3276774.3276779&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1145/327677...Conference object . 2018 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3276774.3276779&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Other literature type 2018 SwitzerlandPublisher:ACM Authors:Sonta, Andrew James;
Sonta, Andrew James
Sonta, Andrew James in OpenAIREJain, Rishee K.;
Jain, Rishee K.
Jain, Rishee K. in OpenAIRETo design and manage office buildings that are both energy-efficient and productive work environments, we need a better understanding of the relationship between building and occupant systems. Past data-driven building research has focused on energy efficiency and occupant comfort, but little work has used building sensor data to understand occupant organizational behavior and dynamics in buildings. In this initial work, we present a methodology for using distributed plug load energy consumption sensors to infer the social/organizational network of occupants (i.e., the relationships among occupants in a building). We demonstrate how plug load data can be used to model activities, and we introduce how statistical methods---in particular, the graphical lasso and the influence model---can be used to learn network structure from time-series activity data. We apply our method to a seven-person office environment in Northern California, and we compare the inferred networks to ground truth spatial, social, and organizational networks obtained through validated survey questions. In the end, a better understanding of how occupants organize and utilize spaces could enable more contextual control and co-optimization of building-human systems.
https://doi.org/10.1... arrow_drop_down https://doi.org/10.1145/327677...Conference object . 2018 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3276774.3276779&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert https://doi.org/10.1... arrow_drop_down https://doi.org/10.1145/327677...Conference object . 2018 . Peer-reviewedLicense: ACM Copyright PoliciesData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3276774.3276779&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 United States, Switzerland, United KingdomPublisher:Elsevier BV Funded by:EC | QUANTUM, NSF | SEES Fellows: Building In..., NSF | CPS: Medium: Collaborativ...EC| QUANTUM ,NSF| SEES Fellows: Building Informatics: Utilizing Data-Driven Methodologies to Enable Energy Efficiency and Sustainability Planning of Urban Building Systems ,NSF| CPS: Medium: Collaborative Research: Building Information, Inhabitant, Interaction and Intelligent Integrated Modeling (BI5M)Authors:Mounir El Asmar;
Mounir El Asmar
Mounir El Asmar in OpenAIREAndrew J. Sonta;
Andrew J. Sonta
Andrew J. Sonta in OpenAIREMaedot S. Andargie;
Mohamed M. Ouf; +10 AuthorsMaedot S. Andargie
Maedot S. Andargie in OpenAIREMounir El Asmar;
Mounir El Asmar
Mounir El Asmar in OpenAIREAndrew J. Sonta;
Andrew J. Sonta
Andrew J. Sonta in OpenAIREMaedot S. Andargie;
Mohamed M. Ouf;Maedot S. Andargie
Maedot S. Andargie in OpenAIREFarhang Tahmasebi;
William O'Brien;Farhang Tahmasebi
Farhang Tahmasebi in OpenAIRERishee K. Jain;
Tianzhen Hong; Elie Azar; Joyce Kim;Rishee K. Jain
Rishee K. Jain in OpenAIRETareq Abuimara;
Tareq Abuimara
Tareq Abuimara in OpenAIREJin Zhou;
Jin Zhou
Jin Zhou in OpenAIRESalvatore Carlucci;
Salvatore Carlucci;Salvatore Carlucci
Salvatore Carlucci in OpenAIREOccupants are active participants in their built environment, affecting its performance while simultaneously being affected by its design and indoor environmental conditions. With recent advances in computer modeling, simulation tools, and analysis techniques, topics such as human-building interactions and occupant behavior have gained significant interest in the literature given their premise of improving building design processes and operating strategies. In practice, the focus of occupant-centric literature has been mostly geared towards the latter (i.e., operation), leaving the implications on building design practices underexplored. This paper fills the gap by providing a critical review of existing studies applying computer-based modeling and simulation to guide occupant-centric building design. The reviewed papers are organized along four main themes, namely occupant-centric: (i) metrics of building performance, (ii) modeling and simulation approaches, (iii) design methods and applications, and (iv) supporting practices and mechanisms. Important barriers are identified for a more effective application of occupant-centric building design practices, including the limited consideration of metrics beyond energy efficiency (e.g., occupant well-being and space planning), the limited implementation and validation of the proposed methods, and the lack of integration of occupant behavior modeling in existing building performance simulation tools. Future research directions are discussed, covering large-scale international data collection efforts to move from generic assumptions about occupant behavior to specific/localized knowledge, improved metrics of measuring building performance, and improved industry practices, such as building codes, to promote an occupant-in-the-loop approach to the building design process.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/82h1c24zData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enbuild.2020.110292&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 85 citations 85 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/82h1c24zData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enbuild.2020.110292&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020 United States, Switzerland, United KingdomPublisher:Elsevier BV Funded by:EC | QUANTUM, NSF | SEES Fellows: Building In..., NSF | CPS: Medium: Collaborativ...EC| QUANTUM ,NSF| SEES Fellows: Building Informatics: Utilizing Data-Driven Methodologies to Enable Energy Efficiency and Sustainability Planning of Urban Building Systems ,NSF| CPS: Medium: Collaborative Research: Building Information, Inhabitant, Interaction and Intelligent Integrated Modeling (BI5M)Authors:Mounir El Asmar;
Mounir El Asmar
Mounir El Asmar in OpenAIREAndrew J. Sonta;
Andrew J. Sonta
Andrew J. Sonta in OpenAIREMaedot S. Andargie;
Mohamed M. Ouf; +10 AuthorsMaedot S. Andargie
Maedot S. Andargie in OpenAIREMounir El Asmar;
Mounir El Asmar
Mounir El Asmar in OpenAIREAndrew J. Sonta;
Andrew J. Sonta
Andrew J. Sonta in OpenAIREMaedot S. Andargie;
Mohamed M. Ouf;Maedot S. Andargie
Maedot S. Andargie in OpenAIREFarhang Tahmasebi;
William O'Brien;Farhang Tahmasebi
Farhang Tahmasebi in OpenAIRERishee K. Jain;
Tianzhen Hong; Elie Azar; Joyce Kim;Rishee K. Jain
Rishee K. Jain in OpenAIRETareq Abuimara;
Tareq Abuimara
Tareq Abuimara in OpenAIREJin Zhou;
Jin Zhou
Jin Zhou in OpenAIRESalvatore Carlucci;
Salvatore Carlucci;Salvatore Carlucci
Salvatore Carlucci in OpenAIREOccupants are active participants in their built environment, affecting its performance while simultaneously being affected by its design and indoor environmental conditions. With recent advances in computer modeling, simulation tools, and analysis techniques, topics such as human-building interactions and occupant behavior have gained significant interest in the literature given their premise of improving building design processes and operating strategies. In practice, the focus of occupant-centric literature has been mostly geared towards the latter (i.e., operation), leaving the implications on building design practices underexplored. This paper fills the gap by providing a critical review of existing studies applying computer-based modeling and simulation to guide occupant-centric building design. The reviewed papers are organized along four main themes, namely occupant-centric: (i) metrics of building performance, (ii) modeling and simulation approaches, (iii) design methods and applications, and (iv) supporting practices and mechanisms. Important barriers are identified for a more effective application of occupant-centric building design practices, including the limited consideration of metrics beyond energy efficiency (e.g., occupant well-being and space planning), the limited implementation and validation of the proposed methods, and the lack of integration of occupant behavior modeling in existing building performance simulation tools. Future research directions are discussed, covering large-scale international data collection efforts to move from generic assumptions about occupant behavior to specific/localized knowledge, improved metrics of measuring building performance, and improved industry practices, such as building codes, to promote an occupant-in-the-loop approach to the building design process.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/82h1c24zData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enbuild.2020.110292&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 85 citations 85 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2020Full-Text: https://escholarship.org/uc/item/82h1c24zData sources: Bielefeld Academic Search Engine (BASE)eScholarship - University of CaliforniaArticle . 2020Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enbuild.2020.110292&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Journal 2021Embargo end date: 01 Jan 2020 SwitzerlandPublisher:Elsevier BV Authors:Andrew Sonta;
Andrew Sonta
Andrew Sonta in OpenAIREThomas R. Dougherty;
Thomas R. Dougherty
Thomas R. Dougherty in OpenAIRERishee K. Jain;
Rishee K. Jain
Rishee K. Jain in OpenAIREOne of the primary driving factors in building energy performance is occupant behavioral dynamics. As a result, the layout of building occupant workstations is likely to influence energy consumption. In this paper, we introduce methods for relating lighting zone energy to zone-level occupant dynamics, simulating energy consumption of a lighting system based on this relationship, and optimizing the layout of buildings through the use of both a clustering-based approach and a genetic algorithm in order to reduce energy consumption. We find in a case study that nonhomogeneous behavior (i.e., high diversity) among occupant schedules positively correlates with the energy consumption of a highly controllable lighting system. We additionally find through data-driven simulation that the na��ve clustering-based optimization and the genetic algorithm (which makes use of the energy simulation engine) produce layouts that reduce energy consumption by roughly 5% compared to the existing layout of a real office space comprised of 165 occupants. Overall, this study demonstrates the merits of utilizing low-cost dynamic design of existing building layouts as a means to reduce energy usage. Our work provides an additional path to reach our sustainable energy goals in the built environment through new non-capital-intensive interventions. 25 pages, 10 figures
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enbuild.2021.110815&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 38 citations 38 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enbuild.2021.110815&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Journal 2021Embargo end date: 01 Jan 2020 SwitzerlandPublisher:Elsevier BV Authors:Andrew Sonta;
Andrew Sonta
Andrew Sonta in OpenAIREThomas R. Dougherty;
Thomas R. Dougherty
Thomas R. Dougherty in OpenAIRERishee K. Jain;
Rishee K. Jain
Rishee K. Jain in OpenAIREOne of the primary driving factors in building energy performance is occupant behavioral dynamics. As a result, the layout of building occupant workstations is likely to influence energy consumption. In this paper, we introduce methods for relating lighting zone energy to zone-level occupant dynamics, simulating energy consumption of a lighting system based on this relationship, and optimizing the layout of buildings through the use of both a clustering-based approach and a genetic algorithm in order to reduce energy consumption. We find in a case study that nonhomogeneous behavior (i.e., high diversity) among occupant schedules positively correlates with the energy consumption of a highly controllable lighting system. We additionally find through data-driven simulation that the na��ve clustering-based optimization and the genetic algorithm (which makes use of the energy simulation engine) produce layouts that reduce energy consumption by roughly 5% compared to the existing layout of a real office space comprised of 165 occupants. Overall, this study demonstrates the merits of utilizing low-cost dynamic design of existing building layouts as a means to reduce energy usage. Our work provides an additional path to reach our sustainable energy goals in the built environment through new non-capital-intensive interventions. 25 pages, 10 figures
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enbuild.2021.110815&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 38 citations 38 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enbuild.2021.110815&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 SwitzerlandPublisher:American Society of Civil Engineers (ASCE) Authors:Sonta, Andrew J.;
Sonta, Andrew J.
Sonta, Andrew J. in OpenAIREJain, Rishee K.;
Gulbinas, Rimas;Jain, Rishee K.
Jain, Rishee K. in OpenAIREMoura, José M. F.;
+1 AuthorsMoura, José M. F.
Moura, José M. F. in OpenAIRESonta, Andrew J.;
Sonta, Andrew J.
Sonta, Andrew J. in OpenAIREJain, Rishee K.;
Gulbinas, Rimas;Jain, Rishee K.
Jain, Rishee K. in OpenAIREMoura, José M. F.;
Taylor, John E.;Moura, José M. F.
Moura, José M. F. in OpenAIREAbstractCommercial buildings account for much of the energy use both in the United States and globally. The role of occupant behavior within the physical building has been found to be an important ...
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1061/(asce)cp.1943-5487.0000663&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1061/(asce)cp.1943-5487.0000663&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 SwitzerlandPublisher:American Society of Civil Engineers (ASCE) Authors:Sonta, Andrew J.;
Sonta, Andrew J.
Sonta, Andrew J. in OpenAIREJain, Rishee K.;
Gulbinas, Rimas;Jain, Rishee K.
Jain, Rishee K. in OpenAIREMoura, José M. F.;
+1 AuthorsMoura, José M. F.
Moura, José M. F. in OpenAIRESonta, Andrew J.;
Sonta, Andrew J.
Sonta, Andrew J. in OpenAIREJain, Rishee K.;
Gulbinas, Rimas;Jain, Rishee K.
Jain, Rishee K. in OpenAIREMoura, José M. F.;
Taylor, John E.;Moura, José M. F.
Moura, José M. F. in OpenAIREAbstractCommercial buildings account for much of the energy use both in the United States and globally. The role of occupant behavior within the physical building has been found to be an important ...
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more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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