Based on the improved fuzzy analytic hierarchy and the TSE-MLR model energy consumption prediction of university: A case study DOI Creative Commons
Xiaohong Chen, Xiaobo Peng,

Yanzi Li

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e36979 - e36979

Published: Aug. 28, 2024

Language: Английский

Natural Light Adaptive Context Lighting System that Provides a Lighting Environment Tailored to the User’s Objectives DOI Creative Commons

Seung-Taek Oh,

Jae-Hyun Lim

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e42064 - e42064

Published: Jan. 1, 2025

As modern people spend more time indoors, efforts continue to create a beneficial indoor lighting environment for each user's activity. A suitable improves efficiency and concentration, but if not, it has adverse effects such as impeding learning. Recently, research been active on technology that provides CCT illuminance the type of use. However, an created by incoming natural light artificial light, is difficult provide maintain activity type, related also lacking. Therefore, in this paper, we propose adaptive context system tailored purpose even when uneven light. The proposed measures characteristics area Then, adjusts controlling blinds based window. Afterward, individual control LED performed standard rendering target environment, creating objective, classified into general office work, low-intensity high-intensity work. In performance experiment, aim within 5 % error range despite influence continuously changing throughout day.

Language: Английский

Citations

0

Energy efficiency analysis: A household digital transformation DOI Creative Commons

Gunnar Lima,

Andreas Nascimento,

Marcelo P. Oliveira

et al.

AIMS energy, Journal Year: 2024, Volume and Issue: 12(4), P. 774 - 808

Published: Jan. 1, 2024

<p>Nowadays, the increased demand for energy and electrification associated with higher production costs from renewable cleaner sources has driven up prices, impacting industrial, commercial, residential sectors. With a direct influence on development of these economic sectors, its indirect impacts to products services have become important find more efficient ways best practices use support sustainable development. Aiming shed light this topic, how individuals society behave in market transformation, article explores opportunities reducing electricity consumption through modern technologies, such as monitoring, optimization, automation, adjustment routines. At same time, it is also our intention bring surface discussion around rational everyday resources raising awareness impact institutions. core, work consists continuous data collection single devices equipment regard status, consumption, other relevant typical household. Through behavioral changes introduction smart home automation techniques, was possible trace parallel comparison between different scenarios their without negative comfort individuals. Seeking improvement approach, extensive iterations were conducted, notice not only an efficiency improvement, but at time gains living standards safety. The significant results observed over subsequent months years highlight practical financial benefits, toward households.</p>

Language: Английский

Citations

3

Simulation modeling for energy systems analysis: a critical review DOI Creative Commons
Muhamad Mustafa Mundu, Stephen Ndubuisi Nnamchi, Jotham Ivan Sempewo

et al.

Energy Informatics, Journal Year: 2024, Volume and Issue: 7(1)

Published: Aug. 27, 2024

Energy system simulation modeling plays an important role in understanding, analyzing, optimizing, and guiding the change to sustainable energy systems. This review aims examine modeling, emphasizing its analyzing optimizing systems for development. The paper explores four key methodologies; Agent-Based Modeling (ABM), System Dynamics (SD), Discrete-Event Simulation (DES), Integrated Models (IEMs). Practical applications of these methodologies are illustrated through specific case studies. analysis covers components systems, including generation, transmission, distribution, consumption, storage, renewable integration. ABM models consumer behavior adoption, SD assesses long-term policy impacts, DES optimizes scheduling, IEMs provide comprehensive sector Case studies demonstrate practical relevance effectiveness addressing challenges such as data quality, model complexity, validation processes. is essential challenges, driving innovation, informing policy. identifies critical areas improvement, enhancing refining techniques, strengthening Future directions emphasize continued importance achieving

Language: Английский

Citations

1

Based on the improved fuzzy analytic hierarchy and the TSE-MLR model energy consumption prediction of university: A case study DOI Creative Commons
Xiaohong Chen, Xiaobo Peng,

Yanzi Li

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e36979 - e36979

Published: Aug. 28, 2024

Language: Английский

Citations

0