SGLSim: tool for smart glazing energy performance analysis
Abstract A tool Smart Glazing Simulator (SGLSim), has been developed to perform parametric simulation analysis of different window systems with several window-to-wall ratios and orientations to compute and compare the annual energy performance. The net annual energy performance of the building is ba...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-12-01
|
Series: | Energy Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42162-022-00226-3 |
_version_ | 1797977220673699840 |
---|---|
author | Md Anam Raihan Kuntal Chattopadhyay Aviruch Bhatia Vishal Garg Aftab M. Hussain |
author_facet | Md Anam Raihan Kuntal Chattopadhyay Aviruch Bhatia Vishal Garg Aftab M. Hussain |
author_sort | Md Anam Raihan |
collection | DOAJ |
description | Abstract A tool Smart Glazing Simulator (SGLSim), has been developed to perform parametric simulation analysis of different window systems with several window-to-wall ratios and orientations to compute and compare the annual energy performance. The net annual energy performance of the building is based on the electricity consumption in heating, cooling, interior lighting, and appliances, along with the electricity generation by the photovoltaic (PV) glazing, which is used to evaluate the energy performance of smart glazing. Performing parametric energy simulations and calculating the net annual electricity consumption of different combinations requires building modeling and energy simulation expertise. A web-based parametric tool can assist the user in carrying out the desired studies without requiring extensive technical knowledge. A case study is prepared for India’s warm and humid climatic zone. This study examines the benefits of double pane semi-transparent photovoltaics (STPV) glazing, STPV glazing with dynamic internal blind, and electrochromic (EC) glazing over other traditional glazing systems. The study shows that the optimal net annual electricity consumption in the case of STPV windows is 10–12% less than the optimal value obtained in a simple glazing case. Additionally, the result suggested that glare-controlled interior blinds in the STPV window further reduce the net annual electricity consumption by up to 15% compared to conventional glazing. Similarly, installing the EC glazing reduces the yearly electricity consumption by up to 5% compared to standard glazing. |
first_indexed | 2024-04-11T05:04:35Z |
format | Article |
id | doaj.art-c5648ea9a58240348f3f136bfd75a043 |
institution | Directory Open Access Journal |
issn | 2520-8942 |
language | English |
last_indexed | 2024-04-11T05:04:35Z |
publishDate | 2022-12-01 |
publisher | SpringerOpen |
record_format | Article |
series | Energy Informatics |
spelling | doaj.art-c5648ea9a58240348f3f136bfd75a0432022-12-25T12:31:45ZengSpringerOpenEnergy Informatics2520-89422022-12-015S411710.1186/s42162-022-00226-3SGLSim: tool for smart glazing energy performance analysisMd Anam Raihan0Kuntal Chattopadhyay1Aviruch Bhatia2Vishal Garg3Aftab M. Hussain4Center for IT in Building Science (CBS), International Institute of Information TechnologyCenter for IT in Building Science (CBS), International Institute of Information TechnologyDepartment of Sustainable Engineering, TERI School of Advanced StudiesCenter for IT in Building Science (CBS), International Institute of Information TechnologyCenter for VLSI and Embedded Systems Technology (CVEST), International Institute of Information TechnologyAbstract A tool Smart Glazing Simulator (SGLSim), has been developed to perform parametric simulation analysis of different window systems with several window-to-wall ratios and orientations to compute and compare the annual energy performance. The net annual energy performance of the building is based on the electricity consumption in heating, cooling, interior lighting, and appliances, along with the electricity generation by the photovoltaic (PV) glazing, which is used to evaluate the energy performance of smart glazing. Performing parametric energy simulations and calculating the net annual electricity consumption of different combinations requires building modeling and energy simulation expertise. A web-based parametric tool can assist the user in carrying out the desired studies without requiring extensive technical knowledge. A case study is prepared for India’s warm and humid climatic zone. This study examines the benefits of double pane semi-transparent photovoltaics (STPV) glazing, STPV glazing with dynamic internal blind, and electrochromic (EC) glazing over other traditional glazing systems. The study shows that the optimal net annual electricity consumption in the case of STPV windows is 10–12% less than the optimal value obtained in a simple glazing case. Additionally, the result suggested that glare-controlled interior blinds in the STPV window further reduce the net annual electricity consumption by up to 15% compared to conventional glazing. Similarly, installing the EC glazing reduces the yearly electricity consumption by up to 5% compared to standard glazing.https://doi.org/10.1186/s42162-022-00226-3Smart glazingEnergy performanceParametric simulations |
spellingShingle | Md Anam Raihan Kuntal Chattopadhyay Aviruch Bhatia Vishal Garg Aftab M. Hussain SGLSim: tool for smart glazing energy performance analysis Energy Informatics Smart glazing Energy performance Parametric simulations |
title | SGLSim: tool for smart glazing energy performance analysis |
title_full | SGLSim: tool for smart glazing energy performance analysis |
title_fullStr | SGLSim: tool for smart glazing energy performance analysis |
title_full_unstemmed | SGLSim: tool for smart glazing energy performance analysis |
title_short | SGLSim: tool for smart glazing energy performance analysis |
title_sort | sglsim tool for smart glazing energy performance analysis |
topic | Smart glazing Energy performance Parametric simulations |
url | https://doi.org/10.1186/s42162-022-00226-3 |
work_keys_str_mv | AT mdanamraihan sglsimtoolforsmartglazingenergyperformanceanalysis AT kuntalchattopadhyay sglsimtoolforsmartglazingenergyperformanceanalysis AT aviruchbhatia sglsimtoolforsmartglazingenergyperformanceanalysis AT vishalgarg sglsimtoolforsmartglazingenergyperformanceanalysis AT aftabmhussain sglsimtoolforsmartglazingenergyperformanceanalysis |