Deleted Journal, Journal Year: 2023, Volume and Issue: 2(4), P. 10018 - 10018
Published: Jan. 1, 2023
Language: Английский
Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102283 - 102283
Published: May 21, 2024
It is widely acknowledged that traditional agricultural practices must effectively address the increasing global demand for food while facing water scarcity and climate change challenges. The imperative environmentally sustainable approaches has never been more urgent. In response, IoT-based Smart Agriculture emerged as a promising solution. can significantly bolster development by integrating renewable energy sources, particularly in arid regions with abundant sunlight. Real-time control systems utilizing big data acquisition processing are pivotal this advancement. This study introduces cloud-based smart irrigation system to connect numerous small-scale farms centralize pertinent data. optimizes usage through comprehensive collection, storage, analysis. Leveraging insights from facilitate informed decision-making regarding management, thereby fostering conservation efforts, regions. Additionally, research explores weather prediction services enhance control, during intermittent rainy periods, within real-world testbed powered solar energy. incorporates sophisticated management system. showcases Farm prototype leveraging Internet of Things, embedded systems, low-cost Wireless Sensor Networks, NI CompactRIO controller, Cloud Computing. Encouragingly, results demonstrate tangible improvements conservation. Furthermore, deployment methodology outlined provides clear roadmap be readily adapted similar endeavors. © 2023 Elsevier Inc. All rights reserved.
Language: Английский
Citations
32
Results in Engineering, Journal Year: 2024, Volume and Issue: 21, P. 101886 - 101886
Published: Feb. 8, 2024
Photovoltaic (PV) panels stand as a prominent solution to meet the world's growing energy demands, due their resistance hard climate conditions, low-cost maintenance, and long lifetime. Nonetheless, integration of PV power into electrical grids poses significant challenge its inherent intermittency. This study aims forecast future based on historical records using Bidirectional Long Short-Term Memory (Bi-LSTM), One-Dimensional Convolutional Neural Network (1D-CNN), Gated Recurrent Unit (GRU). Various performance metrics have been used evaluate compare accuracy three models, including mean squared error, root absolute max error R-squared for evaluation. The prediction photovoltaic values registered in last hour was carried out. Two scenarios investigated, with without nighttime fit models. Results reveal that forecasting models provide exceptional accuracy, achieving correlation coefficient range 96.9–97.2% daytime both scenarios, indicating promising potential these DNNs forecasters optimizing production improving overall system efficiency. GRU, BiLSTM-based showed identical results terms RMSE, MSE MAE while 1D-CNN forecaster accurate second scenario, However, despite this improvement, it still falls behind Bi-LSTM or GRU scenarios.
Language: Английский
Citations
26
Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102198 - 102198
Published: May 4, 2024
Incorporating distributed renewable energy sources into heating, power, and cooling systems is facilitating the drive toward intelligent building solutions. However, inherent uncertainties associated with controllable resources pose challenges for thermo-economic scheduling of smart buildings. Nonetheless, flexibility in buildings can be leveraged through various market mechanisms. Hence, this research introduces a sustainable energy-building system driven by an autonomous solar/dish Stirling engine (SDSE) wind turbine combined sophisticated control strategy battery storage, which designed to provide heat power requirements. The proposed also devised optimize generation, ensuring prudent conservation minimal waste, thereby amplifying overall efficiency financial viability. meticulous design accomplished advanced MATLAB/Simulink® modeling. A thorough technical sensitivity analysis meticulously hones parameters, revealing optimal operational thresholds. Simulation outcomes unveil consistent (SE) efficiency, achieving pinnacle 35%, while SDSE attains over 28%, respectively. horizontal axis turbine, encompassing 100 kW 500 modules, demonstrates coefficients spanning from 0.18 0.09, corresponding land area requirements ranging 4.22 m2 21.10 m2, emphasizing pivotal roles module optimization. This paper casts spotlight on environmental repercussions system, illustrating its potential avert up 30,000 kg CO2 emissions per kWh/year. Moreover, levelized cost electricity ranges 0.13 0.16 $/kWh, accompanied hourly that fluctuates between 3 $/h 40 $/h, Conclusively, developed modeling regarded as significant stride realm hybrid systems, replacing conventional photovoltaic/wind models cutting-edge solar/wind configurations managed storage system.
Language: Английский
Citations
21
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
Energy Exploration & Exploitation, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 23, 2025
Nuclear power plays a pivotal role in sustainable electricity generation and global net zero emissions, contributing significantly to this secure pathway. capacity is expected double, escalating from 413 gigawatts (GW) early 2022 812 GW by 2050 within the emissions (NZE) paradigm. The energy landscape undergoing significant transformation as nations strive transition more systems. Amidst shift, nuclear has emerged crucial component pursuit of transition. This study examines power's multifaceted shaping It delves into energy's contributions toward decarbonization efforts, highlighting its provide low-carbon potential mitigating climate change. Furthermore, explores challenges opportunities associated with integrating strategies, addressing issues such safety, waste management, public perception. In conclusion, anticipated reach approximately 530 2050, representing substantial shortfall 35% compared trajectory outlined NZE Under scenario, demonstrates exceptional expansion, nearly doubling 2050. Concurrently, highlights transformative shift renewable investments, annual expenditures surging an average US$325 billion during 2016–2020 impressive US$1.3 trillion between 2031 2035. These projections underscore critical investments achieving sustainability emission reduction goals.
Language: Английский
Citations
3
Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104235 - 104235
Published: Feb. 1, 2025
Language: Английский
Citations
2
International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(3), P. 512 - 525
Published: March 7, 2024
Amidst the escalating impacts of climate change, optimizing energy efficiency in Heating, Ventilation, and Air Conditioning (HVAC) systems emerges as a critical imperative. This review explores project management strategies aimed at accelerating HVAC amidst change challenges. In response to urgency mitigate consumption has intensified. Project plays pivotal role orchestrating systematic approaches address this challenge. Firstly, effective entails comprehensive planning. involves conducting thorough audits assessments identify inefficiencies prioritize improvement opportunities. Utilizing advanced technologies such Building Energy Management Systems (BEMS) can enhance data collection analysis for informed decision-making. Secondly, stakeholder engagement is essential successful implementation. Collaboration between building owners, facility managers, engineers, contractors facilitates alignment goals resources. Clear communication channels regular progress updates foster accountability momentum throughout lifecycle. Thirdly, methodologies like Agile or Lean streamline initiatives. Iterative development allows continuous improvement, enabling teams adapt evolving requirements incorporate feedback effectively. Moreover, risk are vital anticipate potential obstacles. Contingency plans supply chain disruptions, regulatory changes, unforeseen technical challenges ensure resilience minimize disruptions. Lastly, monitoring evaluation mechanisms indispensable tracking performance verifying savings. Key Performance Indicators (KPIs) benchmarks enables stakeholders measure success adjust needed. Effective change. By emphasizing planning, engagement, agile methodologies, management, evaluation, organizations navigate realize substantial savings operations. Keywords: Management, HVAC, Climate Change, Energy, Efficiency, Review.
Language: Английский
Citations
15
Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102196 - 102196
Published: April 29, 2024
This manuscript proposes an optimal coordination approach for directional overcurrent relays (DOCRs) within electric vehicle charging stations (EVCS), considering energy management and Vehicle-to-Grid (V2G) integration. The study focuses on maximizing efficiency grid interaction in by addressing the challenge of DOCRs coordination. Three innovative optimization algorithms, namely Hunger Games Search (HGS), Hunter Prey Optimization (HPO), Sparrow algorithm (SSA), are employed to determine get time dial setting (TDS) pickup current (IP) targeting minimum operating all DOCRs, factors such as load balancing, fault detection, power quality three different scenarios. EVSC has two types charges DC AC with modes: V2G mode when EV is discharged into grid, G2V charged from grid. Fast chargers used proceed it can work modes G2V. Through extensive simulations performance evaluations, results demonstrate effectiveness proposed approach. scenarios simulated using ETAP MATLAB software according location achieve voltage regulation sufficient loads achieved continuity service up 1960.7 kW that kept fed. target protecting EVCS algorithms SSA introduces best result more than other relay reduction 21 %.
Language: Английский
Citations
11
Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102830 - 102830
Published: Sept. 1, 2024
Language: Английский
Citations
11
E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 601, P. 00065 - 00065
Published: Jan. 1, 2025
This study introduces a novel methodology for conducting techno-economic analysis of green ammonia production using mathematical models that meticulously parameterize plant units and technical specifications. The approach involves two key steps: first, identifying modeling the essential components production, such as electrolyzers, synthesis units, configurations; second, developing non-linear optimization model to minimize levelized cost ammonia, payback period, internal rate return, return on investment. also incorporates constraints like maintaining minimum unit loads optimizing electricity costs. By leveraging renewable energy through power purchase agreements, ensures stable supply carbon neutrality across value chain. Two scenarios are examined: one with user-defined electrolyzer configuration another an optimized configuration. In latter, consumption drops 10 MWh per ton produced, saving 60 GWh annually, along reductions in capital costs by 53% operating 10% compared first scenario.
Language: Английский
Citations
1