Achieving Nearly Zero-Energy Buildings through Renewable Energy Production-Storage Optimization DOI Creative Commons

Bhumitas Hongvityakorn,

Nattawut Jaruwasupant,

Kitiphong Khongphinitbunjong

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(19), P. 4845 - 4845

Published: Sept. 27, 2024

This research focuses on optimizing renewable energy systems to achieve Nearly Zero-Energy Building (nZEB) Level 1 status, defined as reducing consumption by 87.5% 100%. The major objectives are explore the impact factors in optimization of storage (ESSs), solar PV and ESS capacities, well patterns. study is based monitoring data from an office building Thailand with a 120 kW peak load 40 average load, equipped 160 photovoltaic (PV) system 45 kWh ESS. comparing simulation system, particularly unutilized energy, demand optimize best suitability for achieving nZEB status. results indicate that 200 combined 275 250 capacity 175 can adequately supply required clean demand. These findings provide insights buildings aiming sustainability targets. work has summarized framework including financial aspects which be applied similar cases. In addition, analysis working-day profiles appliance usage patterns been performed broader insights. approach identifies trends HVAC, lighting, electronics consumption, enabling scheme adapted varying Additionally, this examines effects operation hours consumption. By adjusting operational schedules these insights, different capacities re-estimated ensure achievement desired Level.

Language: Английский

Implementation of real-time optimal load scheduling for IoT-based intelligent smart energy management system using new decisive algorithm DOI Creative Commons
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

et al.

Journal of Electrical Systems and Information Technology, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 14, 2025

Abstract This paper presents the implementation of a real-time optimal load scheduling system for an IoT-based intelligent smart energy management (SEMS) using novel decisive algorithm. The increasing use electrical equipment by consumers often leads to mismatch between demand and supply, posing significant challenges sector. proposed addresses these optimizing distribution enhancing efficiency through advanced demand-side techniques. By leveraging data from IoT sensors incorporating user preferences, new algorithm dynamically adjusts power consumption avoid peak-hour overloads, thus preventing widespread outages. Experimental results demonstrate that effectively reduces overall while maintaining comfort costs. innovative approach controlled partial shedding based on consumer priorities ensures balanced resilient supply. study highlights potential algorithms in transforming practices providing sustainable solutions future.

Language: Английский

Citations

2
Development of a Smart Cloud-based Monitoring System for Solar Photovoltaic Energy Generation DOI Creative Commons
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

et al.

Unconventional Resources, Journal Year: 2025, Volume and Issue: unknown, P. 100173 - 100173

Published: March 1, 2025

Language: Английский

Citations

1
Designing an intelligent smart energy monitoring system for optimizing the utilization of PV energy DOI
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

et al.

Energy Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

4
Design and optimization of distributed energy management system based on edge computing and machine learning DOI Creative Commons
Nan Feng,

Conglin Ran

Energy Informatics, Journal Year: 2025, Volume and Issue: 8(1)

Published: Feb. 2, 2025

Language: Английский

Citations

0
A smart solar PV monitoring system using internet of things (IoT) DOI
Rita Pimpalkar, Anil Kumar Sahu, Anindita Roy

et al.

Concurrent Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

This paper proposes the implementation of a Smart Solar PV Monitoring System that utilizes Internet Things (IoT) technology integrated with Nodemcu microcontroller and Blynk application for real-time data visualization. The system aims to evaluate impact dust fly ash on solar photovoltaic (PV) systems performance. By integrating monitoring app, monitoring, analysis effects efficiency becomes possible. Data 18 days operation an experimental 5.5 W panel is collected analyzed establish correlation between accumulation performance systems. Experimental investigations were performed using artificial viz., normal in study duration quantities 2, 4 6 g. It was found ash’s average loss 49.16%, 17.46%. findings this research point IoT-based smart effect efficiency.

Language: Английский

Citations

0
Development of intelligent smart energy monitoring systems for renewable energy source using Proteus-8 environment and validated with experimentation DOI Creative Commons
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

et al.

Journal of Electrical Systems and Information Technology, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 22, 2025

Abstract Customers of energy, both in residential and commercial structures, are now more interested lowering their energy usage as an effect the feed-in tariffs for renewable resources recent rise electricity rates. The central control system smart power Plug proposed this study use XBee communication protocol to manage use. Smart management systems used measure optimize at consumer premises level. design development wireless Plugs that can assess several characteristics gather data on real-time individual appliances is main goal paper. An transmitter receiver node aids formation Consumer Area Network, which created by SEMS setup. node’s collection allows scheduling prioritization appliances. appliance datasets may be using setup, additional utilized load disaggregation. configuration transfer from outlets a controller. connected devices then turned or off instructions generated analysis. According test findings, suggested consumption wirelessly up 18 meters away with accuracy without compromising data. Based planned user program code, controller capable successfully controlling Plugs. Energy Management algorithm demonstrates controllers results decrease 0.811 kW min (0.0134 kWh) right algorithm, technology may, therefore, its full potential system. data’s findings show how much better approach than standard ones now.

Language: Английский

Citations

0
A Comprehensive Review of Smart Energy Management Systems for Photovoltaic Power Generation Utilizing the Internet of Things DOI Creative Commons
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

et al.

Unconventional Resources, Journal Year: 2025, Volume and Issue: unknown, P. 100197 - 100197

Published: April 1, 2025

Language: Английский

Citations

0
Construction 5.0 and Sustainable Neuro-Responsive Habitats: Integrating the Brain–Computer Interface and Building Information Modeling in Smart Residential Spaces DOI Open Access

Amjad Almusaed,

İbrahim Yitmen, Asaad Almssad

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9393 - 9393

Published: Oct. 29, 2024

This study takes a unique approach by investigating the integration of Brain–Computer Interfaces (BCIs) and Building Information Modeling (BIM) within residential architecture. It explores their combined potential to foster neuro-responsive, sustainable environments framework Construction 5.0. The methodological involves real-time BCI data subjective evaluations occupants’ experiences elucidate cognitive emotional states. These inform BIM-driven alterations that facilitate adaptable, customized, sustainability-oriented architectural solutions. results highlight ability BCI–BIM create dynamic, occupant-responsive enhance well-being, promote energy efficiency, minimize environmental impact. primary contribution this work is demonstration viability neuro-responsive architecture, wherein input from enables modifications designs. technique enhances built environments’ flexibility user-centered quality integrating occupant preferences mental states into design process. Furthermore, BIM technologies has significant implications for advancing sustainability facilitating energy-efficient ecologically responsible areas. offers practical insights architects, engineers, construction professionals, providing method implementing systems user experience practices. research examines ethical issues concerning privacy, security, informed permission, ensuring these adhere moral legal requirements. underscores transformational while acknowledging challenges related interoperability, integrity, scalability. As result, ongoing innovation rigorous supervision are crucial effectively technologies. findings provide industry offering roadmap developing intelligent ethically sound

Language: Английский

Citations

2
Digitalisation and sustainable energy sector transformation: analysis of key trends DOI
Volodymyr Oleksiiovych Kasianenko,

В. К. Федотов,

Vladyslav Harkusha

et al.

Published: Jan. 1, 2024

The digitalisation of the energy sector and investment in modern digital solutions aim to optimise use resources, reduce burden on environment, increase rate decarbonisation economy, ensure decentralisation supply more efficiently existing infrastructure. In paper, a study processes their impact sustainable development was carried out form system coordinated actions within framework promotion concept smart transformations for transition model environmentally responsible development. authors conducted structural analysis trends industry economy. Features, trends, potential are analysed based reports from International Energy Association. emphasised that global first actively implement technologies information systems transformational processes. recent years, there has been significant increase, than 20%, companies' technologies. work found implementing can costs, total savings these measures amount about 80 billion US dollars annually by 2040. paper defines effects system: ensuring carbon neutrality with lowest consumer forming fair interaction between consumers stakeholders, stimulating economic growth all sectors due new types activity, creating jobs, changing range goods services enterprises. concluded digitisation investing solutions, such as network optimisation at distribution level, will help further capital costs allow faster electric transport, decentralised renewable sources, heat pumps other technologies, thanks efficient

Language: Английский

Citations

0
Achieving Nearly Zero-Energy Buildings through Renewable Energy Production-Storage Optimization DOI Creative Commons

Bhumitas Hongvityakorn,

Nattawut Jaruwasupant,

Kitiphong Khongphinitbunjong

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(19), P. 4845 - 4845

Published: Sept. 27, 2024

This research focuses on optimizing renewable energy systems to achieve Nearly Zero-Energy Building (nZEB) Level 1 status, defined as reducing consumption by 87.5% 100%. The major objectives are explore the impact factors in optimization of storage (ESSs), solar PV and ESS capacities, well patterns. study is based monitoring data from an office building Thailand with a 120 kW peak load 40 average load, equipped 160 photovoltaic (PV) system 45 kWh ESS. comparing simulation system, particularly unutilized energy, demand optimize best suitability for achieving nZEB status. results indicate that 200 combined 275 250 capacity 175 can adequately supply required clean demand. These findings provide insights buildings aiming sustainability targets. work has summarized framework including financial aspects which be applied similar cases. In addition, analysis working-day profiles appliance usage patterns been performed broader insights. approach identifies trends HVAC, lighting, electronics consumption, enabling scheme adapted varying Additionally, this examines effects operation hours consumption. By adjusting operational schedules these insights, different capacities re-estimated ensure achievement desired Level.

Language: Английский

Citations

0