| Full text | |
| Author(s): |
Reis Martins Pereira, Marina Torelli
;
Carvalho, Monica
;
Keutenedjian Mady, Carlos Eduardo
Total Authors: 3
|
| Document type: | Journal article |
| Source: | Entropy; v. 24, n. 11, p. 19-pg., 2022-11-01. |
| Abstract | |
This study focuses on a typical Brazilian household through the lens of sustainable development, regarding energy demand and GHG emissions. The analysis encompasses both the direct and indirect energy, exergy consumption, and GHG emissions (quantified by life cycle assessment) associated with the usual routine of a household. The household is modeled as a thermodynamic system to evaluate inputs (food, electricity, fuels for transportation) and outputs (solid and liquid residues). The hypothesis is that each input and output contains CO2,eq emissions and exergy derived from its physical-chemical characteristics or production chains. Each household appliance is modeled and tested as a function of external parameters. The contribution of several industries was obtained to the total GHG emissions and exergy flows entering and exiting the household (e.g., fuels for transportation, food, gas, electricity, wastewater treatment, solid waste). It was verified that urban transportation was the flow with the highest GHG and exergy intensity, ranging between 1.49 and 7.53 kgCO(2,eq)/day and achieving 94.7 MJ/day, almost five times higher than the calculated exergy demand due to electricity. The second largest flow in GHG emissions was food due to the characteristics of the production chains, ranging from 1.6 to 4.75 kgCO(2,eq)/day, depending on the adopted diet. On the other hand, the electricity presented low GHG emissions due to the main energy sources used to generate electricity, only 0.52 kgCO(2,eq)/day. Moreover, the chemical exergy of the solid waste was 9.7 MJ/day, and is not irrelevant compared to the other flows, representing an interesting improvement opportunity as it is entirely wasted in the baseline scenario. (AU) | |
| FAPESP's process: | 15/22883-7 - Thermodynamics analysis applied to biological systems |
| Grantee: | Carlos Eduardo Keutenedjian Mady |
| Support Opportunities: | Regular Research Grants |