| Download | - View final version: Methodology for quantitative assessment of greenhouse gas emissions reduction of solar-powered Wi-Fi (PDF, 4.8 MiB)
|
|---|
| DOI | Resolve DOI: https://doi.org/10.3390/electronics10222829 |
|---|
| Author | Search for: Temim, Samah1ORCID identifier: https://orcid.org/0000-0001-8905-2445; Search for: Bensebaa, Farid1; Search for: Talbi, Larbi |
|---|
| Affiliation | - National Research Council of Canada. Energy, Mining and Environment
|
|---|
| Format | Text, Article |
|---|
| Physical description | 16 p. |
|---|
| Subject | solar energy; Wi-Fi; GHG |
|---|
| Abstract | In this paper, a modeling framework to quantify the reduction of potential greenhouse gas (GHG) emissions when using solar-powered Wi-Fi as an internet access point is developed and tested. This framework includes newly developed MATLAB code and the use of the ATOLL tool for energy consumption and network optimization, respectively. A practical case study is described with scenarios enabling different signal coverage on a university campus. These scenarios are based on technical requirements, including number of access points, budget link, and access duration. Four hundred tons of GHG can be reduced each year if solar Wi-Fi is deployed in solar campuses, which represents 5.5 × 10−5 percent of the total GHG produced by the telecommunications sector. A direct relationship between the number of access points and coverage signal quality on the one hand and energy consumption on the other hand is established. We use this case study to forecast the potential GHG mitigation if a wider deployment of the community Wi-Fi is achieved. This methodology could also be used to estimate GHG reductions when other wireless technologies are deployed. |
|---|
| Publication date | 2021-11-18 |
|---|
| Publisher | MDPI |
|---|
| Licence | |
|---|
| In | |
|---|
| Language | English |
|---|
| Peer reviewed | Yes |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction (opens in a new tab) |
|---|
| Record identifier | 764d8ddd-2815-4e19-8a1c-eea7234ce728 |
|---|
| Record created | 2022-10-31 |
|---|
| Record modified | 2022-10-31 |
|---|
