Abstract The renewed concern for the care of the environment has led to lower emissions of greenhouse gases without sacrificing modern comforts. Widespread proposal focuses on energy produced from renewable sources and its subsequent storage and transportation based on hydrogen. Currently, this gas applies to the chemical industry and its production is based on fossil fuels. The introduction of this energy vector requires the development of environmental-friendly methods for obtaining it. In this paper, existing techniques are just presented and the main focus is made on electrolysis, a mature procedure. In turn, some developed proposals as previous steps to the hydrogen economy are presented. Finally, some lines of research to improve alkaline electrolysis technology are commented.
Desalination is commonly adopted nowadays to overcome the freshwater scarcity in some areas of the world if brackish water or salt water is available. Different kinds of technologies have been proposed in the last century. In this paper, the state of the mainstream solutions is reported, showing the current commercial technologies like reverse osmosis (RO), Multi-Stages Flash desalination (MSF) and Multi-Effect Distillation (MED), and the new frontiers of the research with the aim of exploiting renewable sources such as wind, solar and biomass energy. In these cases, seawater treatment plants are the same as traditional ones, with the only difference being that they use a renewable energy source. Thus, classifications are firstly introduced, considering the working principles, the main energy input required for the treatment, and the potential for coupling with renewable energy sources. Each technology is described in detail, showing how the process works and reporting some data on the state of development. Finally, a statistical analysis is given concerning the spread of the various technologies across the world and which of them are most exploited. In this section, an important energy and exergy analysis is also addressed to quantify energy losses.
Ratnam Kamala Sarojini, K. Palanisamy, Guangya Yang
The utilization of power electronic inverters in power grids has increased tremendously, along with advancements in renewable energy sources. The usage of power electronic inverters results in the decoupling of sources from loads, leading to a decrease in the inertia of power systems. This decrease results in a high rate of change of frequency and frequency deviations under power imbalance that substantially affect the frequency stability of the system. This study focuses on the requirements of inertia and the corresponding issues that challenge the various country grid operators during the large-scale integration of renewable energy sources. This study reviews the various control techniques and technologies that offset a decrease in inertia and discusses the inertia emulation control techniques available for inverters, wind turbines, photovoltaic systems, and microgrid. This study attempts to explore future research directions and may assist researchers in choosing an appropriate topology, depending on requirements.
Shweta J. Malode, K. Prabhu, R. Mascarenhas
et al.
Abstract The fossil fuel issues due to toxic carbon dioxide emissions and climate change have a direct link with the particulate matter that has caused severe threat to the environment. The bio-based products such as biodiesel and bio-compressed natural gas (Bio-CNG) can be less expensive and adaptable. Biofuels are increasingly being used in transportation, heat, and power development requiring the need for renewable sources of energy. This review highlights the use of dreck organic matters from aquatic environment and soil supplies for renewable energy production for human requirements, sustaining a clean and healthy environment. Dreck can be harnessed to manufacture bioenergy that would help to mitigate greenhouse gases and preserve the environment. Methane, hydrogen, ethanol, bioelectricity, algal diesel, and butanol, or other forms of fuels provide a renewable supply of bioenergy, which can be created by the biological systems. The waste-to-energy methodologies (thermal plus biochemical) for energy production via agro-residues are covered. The key focus of this study is the recent advances in the area of 'synchronous waste mitigation with energy development' techniques. This review addresses the significance of organic substances for the production of clean and renewable energy, including alternate solutions for non-renewable fuels. The needs for appropriate and renewable alternatives for fossil fuels are discussed.
Developing new methodologies to produce clean and renewable energy resources is pivotal for carbon-neutral initiatives. Hydrogen (H 2 ) is considered as an ideal energy resource due to its nontoxic, pollution-free, high utilization rate, and high calorific combustion value. Electrolysis of water driven by the electricity generated from renewable and clean energy sources (e.g., solar energy, wind energy
Santanu Kumar Dash, Suprava Chakraborty, D. Elangovan
Hydrogen is emerging as a new energy vector outside of its traditional role and gaining more recognition internationally as a viable fuel route. This review paper offers a crisp analysis of the most recent developments in hydrogen production techniques using conventional and renewable energy sources, in addition to key challenges in the production of Hydrogen. Among the most potential renewable energy sources for hydrogen production are solar and wind. The production of H2 from renewable sources derived from agricultural or other waste streams increases the flexibility and improves the economics of distributed and semi-centralized reforming with little or no net greenhouse gas emissions. Water electrolysis equipment driven by off-grid solar or wind energy can also be employed in remote areas that are away from the grid. Each H2 manufacturing technique has technological challenges. These challenges include feedstock type, conversion efficiency, and the need for the safe integration of H2 production systems with H2 purification and storage technologies.
The increasing integration of intermittent renewable energy sources (RES), such as solar photovoltaics and wind turbines, has introduced significant challenges to grid synchronization and stability. Traditional synchronization mechanisms, including Phase-Locked Loops (PLLs) and Voltage-Controlled Oscillators (VCOs), often struggle under weak grid conditions and high-frequency disturbances associated with inverter-based RES. This paper proposes a novel grid synchronization framework utilizing Artificial Intelligence (AI)-enabled control loops to adaptively track phase and frequency variations in real time. By incorporating neural network-assisted synchronization and reinforcement learning (RL)-based feedback tuning, the proposed architecture enhances phase detection accuracy, reduces synchronization delay, and improves power quality during grid fluctuations. A simulation-based evaluation is conducted on a renewable-integrated IEEE test system, demonstrating the efficacy of the AI control loops compared to conventional synchronization algorithms. The results show significant improvements in dynamic response time, synchronization stability, and harmonic suppression. The proposed solution offers a scalable and intelligent approach to synchronization in evolving smart grid environments.
This paper provides a comprehensive overview of the application of three clean energy engines— Liquefied Natural Gas (LNG), hydrogen, and ammonia— in the shipping industry. The shipping industry is increasingly exploring clean energy alternatives to reduce its carbon footprint. LNG is one of the most established and widely adopted options, owing to its mature technology and reduced emissions compared to conventional fuels. However, it remains a non-renewable resource and still produces some pollution, making it a less-than-ideal solution for long-term sustainability. Hydrogen, with its high combustion efficiency and zero direct emissions, holds promise as a truly clean fuel. Nonetheless, it faces significant obstacles, including high costs related to production, storage, and transportation, as well as safety concerns due to hydrogen embrittlement and flammability. Ammonia offers the potential for zero-carbon emissions and can be produced using renewable energy sources. Yet, its use is limited by poor combustion characteristics and high corrosiveness, which pose challenges for engine design and material durability. This article delves into the advantages and limitations of these three fuels, focusing on aspects such as corrosion resistance, transportation logistics, pollution levels, friction reduction, and combustion efficiency. The paper concludes by examining future development directions for each energy source within the maritime sector, highlighting the importance of continued innovation to achieve sustainable shipping practices.
Energy storage is needed to match renewable generation to industrial loads in energy parks. However, the future performance of bulk storage technologies is currently highly uncertain. Due to the urgency of decarbonization targets, energy park projects must be designed and begun now. But, as uncertainty in storage performance reduces, a different technology than identified during initial design may turn out cheaper. Enabling flexibility so that design adaptations can be made as better information becomes available would lower the cost of decarbonizing industry. But having this flexibility is itself costly. This raises the question, "Is it worth it?" This study quantifies the benefit of retaining flexibility to adapt energy park designs and optionality over storage technology choice as uncertainty reduces, to determine whether it is economically worthwhile. It applies the Value of Information analysis framework to the sizing of wind, solar, and storage in an illustrative energy park model based on a real-world proposal near Rotterdam, considering uncertainty in storage efficiency, lifetime, and capital cost. Updating asset sizings after storage uncertainty reduced is found to reduce total costs by 18% on average. Having the option to switch storage technology choice as well reduces costs by a further 13%, which is substantially greater than the cost of providing storage optionality. Using two storage technologies in the energy park reduces costs by 14%, and in this case storage optionality is not worthwhile. These results are robust to the level of uncertainty reduction in storage performance, and the risk aversion of the system designer.
This paper presents a proof-of-concept for integrating quantum hardware with real-time digital simulator (RTDS) to model and control modern power systems, including renewable energy resources. Power flow (PF) analysis and optimal power flow (OPF) studies are conducted using RTDS coupled with Fujitsu's CMOS Digital Annealer and D-Wave's Advantage quantum processors. The adiabatic quantum power flow (AQPF) and adiabatic quantum optimal power flow (AQOPF) algorithms are used to perform PF and OPF, respectively, on quantum and quantum-inspired hardware. The experiments are performed on the IEEE 9-bus test system and a modified version that includes solar and wind farms. The findings demonstrate that the AQPF and AQOPF algorithms can accurately perform PF and OPF, yielding results that closely match those of classical Newton-Raphson (NR) solvers while also exhibiting robust convergence. Furthermore, the integration of renewable energy sources (RES) within the AQOPF framework proves effective in maintaining system stability and performance, even under variable generation conditions. These findings highlight the potential of quantum computing to significantly enhance the modeling and control of future power grids, particularly in systems with high renewable energy penetration.