Optimizing Energy Distribution and Utilization in Multi-Building Complexes Using Effective Thermal Storage Systems and Renewable Energy Sharing DOI Creative Commons
Khristina Maksudovna Vafaeva,

Rajireddy Soujanya,

Manoj Singh

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 588, P. 03009 - 03009

Published: Jan. 1, 2024

An increase in renewable energy sources and a subsequent need for more energy-efficient construction practices have prompted efforts to optimize distribution networks. Various building types, including residential, hotel, hospital structures, may benefit from solar-based integrated systems (SIES) that include energy-sharing mechanisms Effective Thermal Storage Systems (ETSS). This new approach is presented the present research. In this paper optimization model proposed consider correlation of storage system with fluctuating load demands (BL). theology makes it possible any high demand day trade excess power another which has low during same time. From simulation we get grid consumption reduced homes by 15%, hotels 12% hospitals 18% through use Energy Transfer System Efficient redistribution management also helps resources 20%. The method led cumulative overall efficiency compared control strategy optimizing supply various sorts buildings. Comparing our previous work clearly shows using yields better saving higher usage because takes into consideration plan profile. These results serve as foundation smart city solution incorporates ETSS sharing.

Language: Английский

Optimizing Microgrid Operation: Integration of Emerging Technologies and Artificial Intelligence for Energy Efficiency DOI Open Access
Paúl Arévalo, Danny Ochoa-Correa, Edisson Villa‐Ávila

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(18), P. 3754 - 3754

Published: Sept. 21, 2024

Microgrids have emerged as a key element in the transition towards sustainable and resilient energy systems by integrating renewable sources enabling decentralized management. This systematic review, conducted using PRISMA methodology, analyzed 74 peer-reviewed articles from total of 4205 studies published between 2014 2024. review examines critical areas such reinforcement learning, multi-agent systems, predictive modeling, storage, optimization algorithms—essential for improving microgrid efficiency reliability. Emerging technologies like artificial intelligence (AI), Internet Things, flexible power electronics are highlighted enhancing management operational performance. However, challenges persist AI into complex, real-time control managing distributed resources. also identifies research opportunities to enhance scalability, resilience, efficiency, reaffirming their vital role solutions.

Language: Английский

Citations

11

Optimizing Energy Distribution and Utilization in Multi-Building Complexes Using Effective Thermal Storage Systems and Renewable Energy Sharing DOI Creative Commons
Khristina Maksudovna Vafaeva,

Rajireddy Soujanya,

Manoj Singh

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 588, P. 03009 - 03009

Published: Jan. 1, 2024

An increase in renewable energy sources and a subsequent need for more energy-efficient construction practices have prompted efforts to optimize distribution networks. Various building types, including residential, hotel, hospital structures, may benefit from solar-based integrated systems (SIES) that include energy-sharing mechanisms Effective Thermal Storage Systems (ETSS). This new approach is presented the present research. In this paper optimization model proposed consider correlation of storage system with fluctuating load demands (BL). theology makes it possible any high demand day trade excess power another which has low during same time. From simulation we get grid consumption reduced homes by 15%, hotels 12% hospitals 18% through use Energy Transfer System Efficient redistribution management also helps resources 20%. The method led cumulative overall efficiency compared control strategy optimizing supply various sorts buildings. Comparing our previous work clearly shows using yields better saving higher usage because takes into consideration plan profile. These results serve as foundation smart city solution incorporates ETSS sharing.

Language: Английский

Citations

0