Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations DOI Creative Commons
Panagiotis Michailidis, Iakovos Michailidis, Elias B. Kosmatopoulos

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(7), P. 1724 - 1724

Published: March 30, 2025

The integration of renewable energy systems into modern buildings is essential for enhancing efficiency, reducing carbon footprints, and advancing intelligent management. However, optimizing RES operations within building management introduces significant complexity, requiring advanced control strategies. One branch algorithms concerns reinforcement learning, a data-driven strategy capable dynamically managing sources other subsystems under uncertainty real-time constraints. current review systematically examines RL-based strategies applied in BEMS frameworks integrating technologies between 2015 2025, classifying them by algorithmic approach evaluating the role multi-agent hybrid methods improving adaptability occupant comfort. Following thorough explanation rigorous selection process—which targeted most impactful peer-reviewed publications from last decade, paper presents mathematical concepts RL RL, along with detailed summaries summary tables integrated works to facilitate quick reference key findings. For evaluation, outlines different attributes field considering following: methodologies RL; agent types; value-action networks; reward functions; baseline approaches; typologies. Grounded on findings presented evaluation section, offers structured synthesis emerging research trends future directions, identifying strengths limitations

Language: Английский

Optimal sizing of off-grid microgrid Building-Integrated-Photovoltaic system with battery for a Net Zero Energy Residential Building in different climates of Morocco DOI Creative Commons

Sarah Forrousso,

Samir Idrissi Kaitouni,

Abdelali Mana

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102288 - 102288

Published: May 21, 2024

An optimal sizing of an off-grid microgrid system composed photovoltaic (PV)/building integrated (BIPV)/battery energy storage installation is undergone for Net Zero Energy Residential Building blocks across six different climates Morocco in order to reach the objective providing all load requirements at minimum. The Particle Swarm Optimization algorithm used find system, by considering hourly spatiotemporal variations both solar availability and demand variation, with lowest Total Annualized Cost as function capacities BIPV battery decision variables. methodology adopted focuses on main fulfillment through direct PV power supply, backed technology, continually guarantee self-sufficiency. A key metric, cover factor, introduced quantify ratio which satisfied systems. findings show that can help improve factor 0.68-2.58%. Moreover, integrating Battery leads a reduction Levelized approximately 8.7-20.72 %, opposed utilizing only battery. Depending local climate, levelized cost ranges from 0.366 $/kWh Ouarzazate city up 0.664 $/kWh.in Ifrane city. Lastly, this holistic approach aims transform building its traditional role consumer carbon-free electricity generator.

Language: Английский

Citations

20

Integrated Renewable Energy Systems for Buildings: An Assessment of the Environmental and Socio-Economic Sustainability DOI Open Access
Hossam A. Gabbar,

А. Рамадан

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 656 - 656

Published: Jan. 16, 2025

Developing a green energy strategy for municipalities requires creating framework to support the local production, storage, and use of renewable hydrogen. This should cover essential components small-scale applications, including sources, infrastructure, potential uses, policy backing, collaborative partnerships. It is deployed as hydrogen unit in municipality or building demands meticulous planning considering multiple elements. Municipality can promote by adopting policies such providing financial incentives like property tax reductions, grants, subsidies solar, wind, initiatives. They also streamline approval processes installations, invest refueling stations community projects, collaborate with provinces neighboring develop corridors large-scale projects. Renewable clean have significant enhance sustainability transportation, building, mining sectors replacing fossil fuels. In Canada, where heating accounts 80% use, blending LPG reduce emissions. study proposes comprehensive approach integrating applications. The examines many scenarios case study, focusing on economic greenhouse gas (GHG) emission impacts. optimum scenario uses hybrid system meet two distinct electrical needs, 53% designated lighting 10% equipment annual saving CAD$ 87,026.33. second explores utilizing hydrogen-LPG blend fuel thermal loads, covering 40% 60% total demand, respectively. reduces emissions from 540 324 tCO2/year, resulting an savings 251,406. innovative demonstrates transformative enhancing efficiency across sectors, buildings, mining.

Language: Английский

Citations

2

Emerging Trends in Sustainable Building Materials: Technological Innovations, Enhanced Performance, and Future Directions DOI Creative Commons
Ali Akbar Firoozi, Ali Asghar Firoozi, D.O. Oyejobi

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 103521 - 103521

Published: Nov. 24, 2024

Language: Английский

Citations

13

Innovations in science, technology, engineering, and policy (iSTEP) for addressing environmental issues towards sustainable development DOI
Lei Luo, Junze Zhang, Haijun Wang

et al.

The Innovation Geoscience, Journal Year: 2024, Volume and Issue: 2(3), P. 100087 - 100087

Published: Jan. 1, 2024

<sec></sec><sec><p> Sustainable development depends on the integration of economy, society, and environment. Yet, escalating environmental challenges pose threats to both society economy. Despite progress in addressing issues promote sustainability, knowledge gaps scientific research, technological advancement, engineering practice, policy persist. In this review, we aim narrow these by proposing innovation-based solutions refining existing paradigms. Reviewing past research actions, first elucidate evolution sustainability science essence sustainable its assessment. Secondly, summarize current major issues, including global warming climate change, biodiversity loss, land degradation desertification, pollution, as well their relationships with achievement Development Goals (SDGs). Subsequently, review critically evaluates role innovations science, technology, engineering, (iSTEP) synergies advancing SDGs. While sequential may vary based specific contexts or scenarios within iSTEP framework, each component reinforces others, fostering continuous improvement. Finally, offers recommendations future perspectives for formulating roadmaps. Recommendations include a vision promoting interdisciplinary collaboration, encouraging transboundary cooperation among stakeholders endeavors.</p></sec>

Language: Английский

Citations

10

Recent Advances in Machine Learning for Building Envelopes: From Prediction to Optimization DOI
LI Xue-ren, Liwei Zhang, Yin Tang

et al.

Published: Jan. 1, 2025

Nowadays, advanced building envelopes not only need to meet traditional design requirements but also address emerging demands, such as achieving low-carbon transition of buildings and mitigating the urban heat island (UHI) effect. Given intricacy indoor conditions complexity variables, approaches can hardly keep pace with evolving demands. Therefore, integrating Artificial Intelligence (AI) into envelope is trending in recent years. This paper provides a holistic review research on machine learning (ML) design. Popular ML algorithms, data input requirements, output generation are first elucidated, aiming shed light selection appropriate algorithms for specific datasets achieve optimal outcomes. ML-involved studies related types (e.g., building-integrated photovoltaic (BIPV), green roofs, PCM-integrated walls, glazing systems, etc.) discussed. The further highlights capabilities AI technologies predicting parameters material properties, environmental impact) optimizing criteria minimizing energy consumption), from micro-scope (i.e., microenvironment) macro-scope impact heat). work anticipated yield valuable insights promoting AI-driven solutions tackle both conventional challenges sustainable development.

Language: Английский

Citations

1

Enhancing the thermal performance of cementitious composites: A comprehensive review of phase change material integration DOI

J.S. Siddesh,

K. N. Shivaprasad,

Hyun Min Yang

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 125849 - 125849

Published: Feb. 1, 2025

Language: Английский

Citations

1

Innovations in Energy-Efficient Construction: Pioneering Sustainable Building Practices DOI Creative Commons
Ali Akbar Firoozi, D.O. Oyejobi, Ali Asghar Firoozi

et al.

Cleaner Engineering and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100957 - 100957

Published: March 1, 2025

Language: Английский

Citations

1

Energy and carbon reduction through green remodeling of daycare centers in Seoul DOI
Yujin Kang, Beom Yeol Yun, Sumin Kim

et al.

Sustainable Energy Technologies and Assessments, Journal Year: 2025, Volume and Issue: 74, P. 104163 - 104163

Published: Jan. 5, 2025

Language: Английский

Citations

0

Life Cycle Carbon Emission Analysis of Buildings with Different Exterior Wall Types Based on BIM Technology DOI Creative Commons
Y. F. Lyu, Н. И. Фомин, Shao Li

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(1), P. 138 - 138

Published: Jan. 5, 2025

Building energy conservation and emission reduction are crucial in addressing global climate change. High-performance insulated building envelopes can significantly reduce consumption over a building’s lifecycle. However, few studies have systematically analyzed carbon potential through life cycle assessment (LCA), incorporating case regional differences. To address this, this study establishes an LCA calculation model using Information Modeling (BIM) technology the coefficient method. We examined four residential buildings China’s cold regions hot summer–cold winter regions, utilizing prefabricated concrete sandwich insulation exterior walls (PCSB) autoclaved aerated block self-insulating (AACB). Results indicate that emissions during operational phase account for 75% of total lifecycle emissions, with heating, ventilation, air conditioning systems contributing 50%. Compared to AACB, PCSB reduces by 18.54% 20.02% regions. The findings demonstrate offers significant energy-saving emission-reduction benefits construction operation phases. it exhibits higher materialization demolition This provides practical framework insights into reducing thereby guiding sustainable design.

Language: Английский

Citations

0

Enhancing the efficiency of hybrid parabolic and parabolic trough concentrators for dual solar applications DOI Creative Commons

X. Chen,

Chockalingam Aravind Vaithilingam, Ashish Sharma

et al.

Clean Technologies and Environmental Policy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

Language: Английский

Citations

0