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The main problem confronting the world is human-caused climate change, which is intrinsically linked to the need for energy both now and in the future. Renewable (green) energy has been proposed as a future solution, and many renewable energy technologies have been developed for different purposes. However, progress toward net zero carbon emissions by 2050 and the role of renewable energy in 2050 are not well known. This paper reviews different renewable energy technologies developed by different researchers and their potential and challenges to date, and it derives lessons for world and especially African policymakers. According to recent research results, the mean global capabilities for solar, wind, biogas, geothermal, hydrogen, and ocean power are 325 W, 900 W, 300 W, 434 W, 150 W, and 2.75 MWh, respectively, and their capacities for generating electricity are 1.5 KWh, 1182.5 KWh, 1.7 KWh, 1.5 KWh, 1.55 KWh, and 3.6 MWh, respectively. Securing global energy leads to strong hope for meeting the Sustainable Development Goals (SDGs), such as those for hunger, health, education, gender equality, climate change, and sustainable development. Therefore, renewable energy can be a considerable contributor to future fuels. [ABSTRACT FROM AUTHOR]

Offshore wind farms are great options for addressing the world's energy and climate change challenges, as well as meeting rising energy demand while taking environmental and economic impacts into account. Floating wind turbines, in specific, depict the next horizon in the sustainable renewable energy industry. In this study, a life-cycle cost analysis for floating offshore wind turbines is developed by combining the most recent data and parametric formulas from databases and relevant papers. The cost analysis models focused on cost minimization with special emphasis on Operation and Maintenance Cost (OPEX), Decommissioning Cost (DECOM), and Levelized Cost of Energy (LCOE), which are important factors in wind power economy. Given that floating wind energy is still developing, the presented scenarios should be beneficial in making future decisions. The cost analysis scenarios include on-site and off-site maintenance scenarios for OPEX. In addition, four alternative scenarios for DECOM have been examined: mechanical recycling, mechanical-incineration, incineration processes, and landfill. According to the findings of these scenarios, OPEX varies from 16.89 to 19.93 £/MWh and DECOM between 3.47 and 3.65 £/MWh, whilst the total LCOE varied from 50.67 to 66.73 £/MWh. [ABSTRACT FROM AUTHOR]

In the current global landscape, food loss and waste (FLW) persist as a significant challenge, accounting for one-third of global food production and directly impacting 700 million individuals. Beyond its social ramifications, FLW incurs substantial economic costs and raises environmental and ethical concerns. To address this issue, our paper presents a comprehensive systematic overview within operations management, offering a framework that delineates diverse supply chain types, defines FLW, examines its multifaceted impacts, and outlines reduction strategies. Emphasizing a holistic perspective, we utilize various case study approaches to shed light on the global implications of FLW, aiming to contribute to ongoing research endeavors. In exploring the depth of FLW, we build upon two foundational premises: the actions taken by rational actors towards FLW reduction hinge on the balance between benefits and costs, guiding policy formulation. Effective policies necessitate a thorough understanding of synergies, potential unintended consequences and trade-offs. The absence of comprehensive information on FLW leads to both excessive and insufficient rates of FLW. Justifying public intervention lies in its potential to enhance food security, efficiency, and environmental sustainability, albeit quantifying these effects poses challenges. Our overview paper identifies key challenges in FLW policies, encompassing measurement, quantification, interdependencies within the and trade-offs, and value chain in food policy objectives. Despite these challenges, the paper guides the enhancement of loss measurement for targeted interventions, emphasizing investments in policies that foster a conducive business environment and government-led initiatives in awareness and incentive modification. The study also sheds light on crucial gaps in knowledge, including data deficiencies and variability in estimates, calling for standardized data collection methodologies and targeted research initiatives. By addressing these gaps and emphasizing collaborative efforts, this research contributes to a nuanced understanding of FLW, advocating for improved strategies to tackle this multifaceted issue. • Comprehensive Ops Framework: Presents systematic framework for FLW reduction in supply chains. • Multifaceted FLW Impacts: Explores economic, environmental, and social impacts. • Urgent Data Gaps: Emphasizes need for current data on FLW, especially in BRICS nations. • Culture-Specific Solutions: Highlights importance of tailored innovations for waste reduction. • Climate Nexus and Renewable Energy Integration: Explores FLW, climate change, and renewable energy synergy for sustainable, low-carbon paths. [ABSTRACT FROM AUTHOR]

The intensification of global climate change has led to a widespread consensus on carbon reduction, with the power industry being the principal contributor to carbon emissions necessitating an inevitable transition of its energy structure. Concomitantly, the escalating frequency of natural disasters caused by extreme weather presents formidable challenges to both secure power supply and the low-carbon transition of the power system. To fulfill the developmental requirements of a low-carbon power system and address the carbon emission risks imposed by natural disasters, this paper proposes a bi-level model for generation expansion planning (GEP) that incorporates constraints on the carbon emission trajectory and the influence of natural disasters. The planning-level model optimizes investment costs of various generation technologies and energy storage (ES), as well as the overall operational expenses over the planning period, with an objective to minimize them. It incorporates carbon emission trajectory constraints and policy constraints, such as carbon peaking, carbon neutrality and renewable energy (RE) penetration rates, in order to optimize the planning installed capacity of power sources. The operational-level model aims to minimize typical daily operating costs while also simulating power unit outputs in routine and disaster scenarios. A case study is conducted in a disaster-prone province in southern China to analyze the power generation expansion planning and the trajectory of carbon emissions from 2020 to 2060 under different scenarios. The simulation results show that compared to thermal power, the planning scheme mainly focused on RE with ES is better suited to achieve the goal of a low-carbon transition of the power grid. Moreover, after considering natural disasters, the cost and carbon emissions of power system planning are higher, and the risk of carbon emissions increases with the severity of disasters. • A multi-time scale bi-level low-carbon GEP model is proposed. • Natural disaster scenarios and low-carbon policy constraints are considered in the GEP model. • Carbon emission trajectory of the planned power system is estimated and introduced as a constraint into the GEP model. • Evaluation indicators that comprehensively consider low-carbon performance and economic feasibility are proposed. [ABSTRACT FROM AUTHOR]

The promotion of renewable energy nowadays is particularly important not only to mitigate the climate change but also to increase the energy independence. Thus, the aim of this paper is to analyse the impacts of attitudes and perception of the war in Ukraine and environmental aspects on selection of green electricity in Lithuania. The survey analysis conducted in early 2023 showed that only 35% of respondents have selected green electricity. Analysis of the main determinants of green electricity selection showed that attitudes towards energy consumption together with the perception of renewable energy environmental impacts (B = 0.13, p < 0.01), as well as attitudes towards the war impact together with the perception of the renewable energy role in solving energy crisis (B = 0.09, p < 0.01), positively and statistically significantly influenced selection of green electricity. Meanwhile, the interaction of attitudes towards the war impact and the perception of the renewable energy role in achieving energy independence insignificantly (B = −0.05, p = 0.06) determined selection of green electricity. From the socio-demographic variables, only age (B = −0.02, p = 0.003) and gender (B = 0.36; p < 0.01) had a significant effect on this behaviour. Thus, this study gives an additional insight for policymakers and green electricity suppliers on how to increase green electricity selection in the context of the war in Ukraine. [ABSTRACT FROM AUTHOR]