Boosting energy markets in grid with a focus on battery storage, including flexible loads and electric vehicles, via a two-stage optimization framework DOI Creative Commons
Tao Hai,

Hayder Oleiwi Shami,

Mohamed R. El-Sharkawy

et al.

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 2604 - 2618

Published: Jan. 1, 2024

Abstract This paper introduces a detailed dual-level structure designed for the efficient organization of energy and supportive service markets throughout transport delivery systems. The framework delineates at first level services second. Traditional thermal units serve as providers spinning reserve market, while rapid response generators, storage systems, electric vehicles, demand aggregators supply capacity adjustments. Simulations applied to 30-bus transmission network linked four 8-bus distribution networks show that integrating resources in market reduces reliance on by 22%, decreasing daily operational costs approximately 15%. Furthermore, including aggregators, vehicles regulation improves voltage profiles 7%. is constructed linear optimization model simulated using CPLEX solver GAMS software.

Language: Английский

Advancing smart net-zero energy buildings with renewable energy and electrical energy storage DOI
Dong Luo, Jia Liu, Huijun Wu

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 114, P. 115850 - 115850

Published: Feb. 22, 2025

Language: Английский

Citations

1

Mining Urban Sustainable Performance: Unlocking the Energy-Saving Potential of Office Buildings Through Smart Control Technologies DOI
Xiaoya Song, Haiyan Lu, Haoran Zhang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

A Decision-Making Tool for Sustainable Energy Planning and Retrofitting in Danish Communities and Districts DOI Creative Commons
Muhyiddine Jradi

Energies, Journal Year: 2025, Volume and Issue: 18(3), P. 692 - 692

Published: Feb. 2, 2025

This study presents a novel framework for city-level energy planning and retrofitting, tailored to Danish cities neighborhoods. The addresses the challenges of large-scale urban modeling by integrating automated processes data collection, demand prediction, renewable integration. It combines open-source simulation tools validated datasets, enabling efficient scalable predictions performance across areas, including streets, districts, entire cities, with minimal user input. key components include collection modeling, resource estimation, gap evaluation, design retrofitting strategies DanCTPlan tool, developed based on this framework, was applied two case studies in Denmark: single street 101 buildings district comprising five streets 1284 buildings. In single-street case, all meet current regulations resulted 60.8% reduction heat 5.8% electricity demand, significant decreases peak demands. district-level measures led 29.5% 2.4% demand. Renewable scenarios demonstrated that photovoltaic systems supplying 30% solar thermal meeting 10% heating would require capacities 2218 kW 3540 kW, respectively. framework’s predictive capabilities flexibility position it as robust tool support decision-makers developing sustainable cost-effective strategies, paving way toward establishing energy-efficient positive districts.

Language: Английский

Citations

0

Advanced Graph Embedding for Intelligent HVAC Optimization: An Ensemble Learning-Based Recommender System in Shenzhen Qianhai Smart Community DOI Creative Commons

Shouliang Lai,

Xiyu Yi, Pei-Ling Zhou

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105888 - 105888

Published: Feb. 1, 2025

Language: Английский

Citations

0

Game-theoretic evolution in renewable energy systems: Advancing sustainable energy management and decision optimization in decentralized power markets DOI
Lefeng Cheng, Feng Yu, Pengrong Huang

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 217, P. 115776 - 115776

Published: April 23, 2025

Language: Английский

Citations

0

Development and Implementation of a User-Centric Real-time Energy Monitoring and Feedback System For Energy Conservation DOI

Thirumalai Srinivasan Govindarajan,

Bhavithrah Jegan, R. Gopalan

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115787 - 115787

Published: April 1, 2025

Language: Английский

Citations

0

Big data in energy management DOI

Abbas Hussain,

Saira Razzaq, Antash Najib

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Citations

0

Building Automation and Control Systems for Office Buildings: Technical Insights for Effective Facility Management - A Literature Review DOI
Sophie van Roosmale, Peter Hellinckx, Jasmine Meysman

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 97, P. 110943 - 110943

Published: Oct. 2, 2024

Language: Английский

Citations

3

A Study on the Energy Efficiency of an Energy Management System for Convenience Stores DOI Creative Commons

Thitiporn Thomyapitak,

Piyanut Saengsikhiao,

Passakorn Vessakosol

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(19), P. 4941 - 4941

Published: Oct. 2, 2024

This research presents a solution for improving energy efficiency in convenience stores by implementing building management system (BEMS) that uses new logic control air conditioning and refrigeration systems. These systems currently consume the most stores. Implementing this not only reduces consumption of compressors both but also minimizes loss due to low desired temperatures sale area while maintaining cabinet temperature at same level. An experiment was conducted 314-square-meter store open from 6:00 a.m. 11:00 p.m., we demonstrated 4.4-year payback period controlling AC units close sale-area 25 degrees Celsius increasing suction pressure medium-temperature CDU 0.3 bar or 31 kPa. resulted savings 7.1 kilowatt-hours per day, 2591.5 year, 2.8 1022.0 system, resulting total 9.9 3613.5 year. The can use results improve its cooling which includes systems, thereby promoting sustainable conservation.

Language: Английский

Citations

1

Evolving Trends in Smart Building Research: A Scientometric Analysis DOI Creative Commons
Xuekelaiti Haiyirete, Wenjuan Zhang, Yu Gao

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(9), P. 3023 - 3023

Published: Sept. 23, 2024

Background: Smart building, as an emerging building concept, has been a key driving force for the transformation and upgrading of industry; Methods: To better understand latest research progress trends in field smart this study uses CiteSpace 6.2.R4 bibliometric software to visualize, analyze, interpret literature related “Smart Building” WoS database from 2014 2023; Results: As cross-sectoral multidisciplinary field, received significant attention recent years, with rapid growth number publications. International cooperation is strong, China, United States, South Korea leading publications, but there still room enhanced collaboration among institutions. Keyword analysis shows that technology humanized design are both crucial, become current hotspot. Conclusions: The gained global attention, more breakthroughs will be made improving efficiency, reducing energy consumption, enhancing user experience. This development moving towards smarter sustainable direction bring greater benefits human life environment.

Language: Английский

Citations

0