The renewable energy role in the global energy Transformations

Renewable energy focus, Journal Year: 2024, Volume and Issue: 48, P. 100545 - 100545

Published: Jan. 26, 2024

Language: Английский

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Social, environmental, and economic consequences of integrating renewable energies in the electricity sector: a review

Environmental Chemistry Letters, Journal Year: 2023, Volume and Issue: 21(3), P. 1381 - 1418

Published: March 24, 2023

Abstract The global shift from a fossil fuel-based to an electrical-based society is commonly viewed as ecological improvement. However, the electrical power industry major source of carbon dioxide emissions, and incorporating renewable energy can still negatively impact environment. Despite rising research in energy, consumption on environment poorly known. Here, we review integration energies into electricity sector social, environmental, economic perspectives. We found that implementing solar photovoltaic, battery storage, wind, hydropower, bioenergy provide 504,000 jobs 2030 4.18 million 2050. For desalinization, photovoltaic/wind/battery storage systems supported by diesel generator reduce cost water production 69% adverse environmental effects 90%, compared full fuel systems. potential emission reduction increases with percentage sources utilized. photovoltaic/wind/hydroelectric system most effective addressing climate change, producing 2.11–5.46% increase generation 3.74–71.61% guarantee share ratios. Compared single systems, hybrid are more reliable better equipped withstand impacts change supply.

Language: Английский

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Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms

Energies, Journal Year: 2023, Volume and Issue: 16(5), P. 2283 - 2283

Published: Feb. 27, 2023

Forecasting the electrical load is essential in power system design and growth. It critical from both a technical financial standpoint as it improves performance, reliability, safety, stability well lowers operating costs. The main aim of this paper to make forecasting models accurately estimate based on measurements current loads electricity company. importance having predicting future loads, which will lead reducing costs resources, better electric distribution for companies. In paper, deep learning algorithms are used forecast loads; namely: (1) Long Short-Term Memory (LSTM), (2) Gated Recurrent Units (GRU), (3) Neural Networks (RNN). were tested, GRU model achieved best performance terms accuracy lowest error. Results show that an R-squared 90.228%, Mean Square Error (MSE) 0.00215, Absolute (MAE) 0.03266.

Language: Английский

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Hydrogen storage in North America: Status, prospects, and challenges

Journal of environmental chemical engineering, Journal Year: 2023, Volume and Issue: 11(3), P. 109957 - 109957

Published: April 18, 2023

Language: Английский

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Thermochemical water-splitting structures for hydrogen production: Thermodynamic, economic, and environmental impacts

Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 297, P. 117599 - 117599

Published: Oct. 9, 2023

Language: Английский

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Strategies To Improve the Performance of Hydrogen Storage Systems by Liquefaction Methods: A Comprehensive Review

ACS Omega, Journal Year: 2023, Volume and Issue: 8(21), P. 18358 - 18399

Published: May 18, 2023

The main challenges of liquid hydrogen (H

Language: Английский

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Towards a carbon-neutral community: Integrated renewable energy systems (IRES)–sources, storage, optimization, challenges, strategies and opportunities

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 83, P. 110663 - 110663

Published: Feb. 2, 2024

Language: Английский

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Renewable energy communities optimal design supported by an optimization model for investment in PV/wind capacity and renewable electricity sharing

Energy, Journal Year: 2023, Volume and Issue: 283, P. 128464 - 128464

Published: July 18, 2023

The EU Renewable Energy Directive 2018/2001 (RED II) has unlocked the participation of local citizens and authorities in collective renewable energy projects through concept Communities (REC). In this context, present study proposes an optimization model to support REC's investment decisions on generation portfolio operational electricity sharing management. presented follows annualized approach considering that one REC member can invest additional generation. A case a with three members is framework four scenarios results are discussed using levelized cost (LCOE) marginal realized price concepts. sensitivity analysis also performed address interannual variability solar wind resources. base scenario, which corresponds site-specific conditions investing member, overall net revenue 87 k€/year was computed. for scenario showed more sensitive resource, revenues changing between −3.3% 0.1% comparison average resource availability. This paper contributes existing literature by identifying main drivers behind optimal decision REC, result from relationship generated each technology. supported reinforce benefits RECs as enablers deployment generation, thus contributing decarbonization systems.

Language: Английский

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Recent Trends in Sustainable Solar Energy Conversion Technologies: Mechanisms, Prospects, and Challenges

Energy & Fuels, Journal Year: 2023, Volume and Issue: 37(9), P. 6283 - 6301

Published: April 18, 2023

The current global transition from conventional fossil-fuel-based systems to green, sustainable, and renewable energy is realizing new challenges associated with device efficiencies. Among the green approaches available, efficient solar conversion into chemical electrical can ensure upcoming demands of future in an environmentally friendly sustainable way. However, sunlight cannot be utilized directly as a result its intermittent diffuse nature. This development economically viable technologies for applicable source energy. practical realization this dream on industrial scale still longstanding challenge researchers. Therefore, scientists technologists across globe are constant pursuit develop/improve highly efficient, benign, chemistry engineering devices. At present, three technologies: (i) photoelectrochemical water splitting, (ii) photoreforming plastic- or biomass-derived waste, (iii) organic photovoltaics form perovskite cells have emerged best converting valuables "green" H2 fuel electricity. In review, we will focus introducing basic principles, mechanistic insights, recent trends, prospects using these technologies.

Language: Английский

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Adaptation of solar energy in the Global South: Prospects, challenges and opportunities

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28009 - e28009

Published: March 16, 2024

The Global South comprising economically disadvantaged regions of the world face various challenges such as limited access to electricity, clean water, industrialization, and food security. Solar energy, a sustainable abundant resource, holds great potential address these challenges. Despite its immense potential, encounters hurdles related technology adoption, infrastructure, financial constraints. This review examines history, classifications, global statistics, merits, demerits solar in South. Furthermore, it delves into applications including extreme environments, residential electricity generation, transportation, industrial usage this region. paper concludes by providing new insighths highlighting significant role energy can play shaping future if are adequately addressed, opportunities embraced.

Language: Английский

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