
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103843 - 103843
Published: Dec. 1, 2024
Language: Английский
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103843 - 103843
Published: Dec. 1, 2024
Language: Английский
Cleaner Engineering and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 100856 - 100856
Published: Dec. 1, 2024
Language: Английский
Citations
5Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 103354 - 103354
Published: Nov. 7, 2024
Language: Английский
Citations
4Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 103961 - 103961
Published: Jan. 1, 2025
Language: Английский
Citations
0The Journal of Engineering, Journal Year: 2025, Volume and Issue: 2025(1)
Published: Jan. 1, 2025
Abstract This research article highlights the pressing demand for sustainable construction techniques in Pakistan's building sector as it significantly contributes to CO 2 emissions, exacerbating environmental challenges. Unlike previous studies, this study uses a newly created life cycle assessment tool comparing standard methods green alternatives, emphasizing cost and carbon impact. Green materials may require more substantial initial investment, yet they offer significant long‐term benefits such decreased emissions savings. The underlines necessity of employing eco‐friendly mitigate detrimental effects enhance sustainability.
Language: Английский
Citations
0Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 24, 2025
Abstract As the global market for renewable energy solutions expands, geospatial analysis is becoming crucial optimizing solar potential. The current study assesses suitability of installing PV system in Mardan, Peshawar, and Nowshera districts Pakistan using a multi-criteria decision-making (MCDM) approach. Analysis different parameters, such as topography, land use cover (LULC), radiation surface temperature (LST), were performed to find appropriate locations their respective regions. employed binary classification weighted overlay methods detect patterns spatial suitability. Peshawar showed maximum ability with 859.8 km² categorized favorable projected annual power output capacity 67.77 trillion kWh decrease CO₂ emission 2.78 billion metric tons. Mardan closely followed suitable area 828.4 generation 39.74 kWh/year reduction emissions by 1.63 has an 503.0 km², 670.06 kWh, 27.46 million These results underline importance combining meteorological data accurate planning systems. By highlighting location-specific features, including topography irradiance illustrates tailoring outputs environmental impacts local contexts. insights help guide policymakers driving projects, support Pakistan’s sustainable development climate targets.
Language: Английский
Citations
0Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 4586 - 4608
Published: April 15, 2025
Language: Английский
Citations
0Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 103240 - 103240
Published: Oct. 30, 2024
Language: Английский
Citations
3Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105048 - 105048
Published: April 1, 2025
Language: Английский
Citations
0Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103843 - 103843
Published: Dec. 1, 2024
Language: Английский
Citations
1