
Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133588 - 133588
Published: Oct. 1, 2024
Language: Английский
Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133588 - 133588
Published: Oct. 1, 2024
Language: Английский
Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: 264, P. 125408 - 125408
Published: Jan. 7, 2025
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135434 - 135434
Published: March 1, 2025
Language: Английский
Citations
0Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112405 - 112405
Published: March 1, 2025
Language: Английский
Citations
0Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136304 - 136304
Published: April 1, 2025
Language: Английский
Citations
0Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133584 - 133584
Published: Oct. 1, 2024
Language: Английский
Citations
2Energy, Journal Year: 2024, Volume and Issue: 310, P. 132622 - 132622
Published: Aug. 13, 2024
Language: Английский
Citations
1Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 6169 - 6169
Published: Dec. 6, 2024
This paper focuses on the potential for integrating Geographic Information System (GIS) software into Fifth-Generation District Heating and Cooling (5GDHC) systems to promote efficient sustainable energy management, particularly in Kazakhstan. By reviewing key literature, we identify three main areas where GIS enhances planning of 5GDHC systems: decision-making context market regulations, operational data utilization, modeling/simulations technical design. The design emphasizes role heat pumps, ultra-low temperature district heating (ULTDH) networks, end-user buildings. Previous research has explored various methodologies network demand-side strategies, developing cooling (DHC) systems, mapping urban suitable DHC deployment. However, none presented an open-source model incorporating GIS-based designing systems. study, first time, addresses this gap through a case study conducted Northern Industrial Zone Karaganda, Kazakhstan, demonstrating how GIS-enhanced modeling can be effectively applied developing, industry-driven economy. We outline mathematical framework comparing existing simulation tools custom suited region’s needs. Additionally, discuss validation calibration methods, which remain underexplored current literature. proposed incorporates waste recovery from local sources, including nearby wastewater treatment plants, showcasing solution industrial park. results indicate that well-structured system, supported by tools, markedly enhance efficiency sustainability, presenting scalable adaptable approach other regions Kazakhstan beyond.
Language: Английский
Citations
1Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 325, P. 119298 - 119298
Published: Dec. 12, 2024
Language: Английский
Citations
1Energy Conversion and Management X, Journal Year: 2024, Volume and Issue: 24, P. 100690 - 100690
Published: Aug. 14, 2024
Language: Английский
Citations
0