Abstract:The progressive energy transition to systems with higher shares of renewable energy is particularly important in islands regions, which are largely dependent on energy imports. In this context, to assess the impact of climate change on renewable energy resources during the 21st century is crucial for polycimakers and stakeholders. In this work, we provide an overview of wind and photovoltaic (PV) resources, its variability and complementarity between them, as well as their future changes, in the Canary Islands… Show more
“…March is the month with the greatest reduction in relative humidity, reaching 13% at RCP8.5. The wind does not show relevant changes in these locations, remaining these variations in the worst-case scenario within the range between − 2.1 and 2.3 km/h, consistent with previous studies 35 , 36 . Finally, the decrease in precipitation is remarkable during the winter months.…”
Climate change is expected to enhance weather conditions prone to wildfires. Climate regionalized projections for the Canary Islands were performed, using as boundary conditions some of the results provided by the Coupled Model Intercomparison Project (CMIP5) initiative, and covering the recent past (1980–2009) and future (2070–2099) periods, under two Representative Concentration Pathways, 4.5 and 8.5. All fire risk indicators derived from the Canadian Forest Fire Weather Index (FWI) are foreseen to worsen by the end of the century. The fire season could increase its length up to 75 days per year, being more noticeable as altitude increases. The extreme risk days (FWI > 60) show an average increase of 58%, reaching 12 days a year, and the area with high risk could increase by 44%. Analyzing the contribution of the different meteorological variables, it is observed that the main parameter in the fire danger index result is the temperature (currently weights 46%). However, in the future, the importance of precipitation will increase, since the rainfall reduction in some areas could reach 41%. The high dependence of the expected changes on land height, and the small size of the islands, demonstrates the necessity of using high-resolution climate regionalizations.
“…March is the month with the greatest reduction in relative humidity, reaching 13% at RCP8.5. The wind does not show relevant changes in these locations, remaining these variations in the worst-case scenario within the range between − 2.1 and 2.3 km/h, consistent with previous studies 35 , 36 . Finally, the decrease in precipitation is remarkable during the winter months.…”
Climate change is expected to enhance weather conditions prone to wildfires. Climate regionalized projections for the Canary Islands were performed, using as boundary conditions some of the results provided by the Coupled Model Intercomparison Project (CMIP5) initiative, and covering the recent past (1980–2009) and future (2070–2099) periods, under two Representative Concentration Pathways, 4.5 and 8.5. All fire risk indicators derived from the Canadian Forest Fire Weather Index (FWI) are foreseen to worsen by the end of the century. The fire season could increase its length up to 75 days per year, being more noticeable as altitude increases. The extreme risk days (FWI > 60) show an average increase of 58%, reaching 12 days a year, and the area with high risk could increase by 44%. Analyzing the contribution of the different meteorological variables, it is observed that the main parameter in the fire danger index result is the temperature (currently weights 46%). However, in the future, the importance of precipitation will increase, since the rainfall reduction in some areas could reach 41%. The high dependence of the expected changes on land height, and the small size of the islands, demonstrates the necessity of using high-resolution climate regionalizations.
“…Harnessing the inexhaustible nature of renewable energy, coupled with its absence of harmful emissions, not only mitigates the global greenhouse effect but also significantly alleviates the constraints of traditional energy supply modes [2] [3]. Solar energy, in particular, has emerged as a research focal point in many countries owing to its abundance, accessibility, and environmental friendliness [4]. Consequently, Maximum Power Point Tracking (MPPT) technology plays a pivotal role in photovoltaic (PV) power generation, leading to the development of numerous MPPT techniques [5].…”
The Hunter Prey Optimization (HPO) algorithm represents a novel population-based optimization approach renowned for its efficacy in addressing intricate problems and optimization challenges. Photovoltaic (PV) systems, characterized by multi-peaked shading conditions, often pose a challenge to conventional Maximum Power Point Tracking (MPPT) techniques in accurately identifying the global maximum power point. In this research, an MPPT control strategy grounded in Improved Hunter Prey Optimization (IHPO) is proposed. Eight distinct shading scenarios are meticulously crafted to assess the feasibility and effectiveness of the proposed MPPT method in capturing the maximum power point. The performance evaluation is conducted utilizing both MATLAB simulation and an embedded system, alongside a comparative analysis with alternative power tracking methodologies, considering the diverse climatic conditions across different seasons. Simulation outcomes demonstrate the capability of the proposed control strategy in accurately tracking the global maximum power point, achieving a commendable efficiency of 100% across seven shading conditions with a tracking response time of approximately 0.2 seconds. Verification results obtained from the experimental platform illustrate a tracking efficiency of 98.75% for the proposed method. Finally, the IHPO method's output performance is evaluated on the StarSim RCP platform, indicating a substantial enhancement in the tracking efficiency of the photovoltaic system while maintaining rapid response times.
“…A specific example of this interest can be seen when thinking about the emerging concept of energy droughts. It has generally been defined based on an energy deficiency and, thus, wind threshold [53][54][55][56][57]. Also, atmospheric conditions related to these phenomena have been studied [36,58,59].…”
Research and wind speed assessment has increased lately among other things, due to its interest as a renewable energy resource. Whereas mean values and trends are commonly studied, less attentions is paid to the evaluation of extremes. In terms of lower winds, it is difficult to find agreement on a definition for those conditions. Here, the long-term characterization of low wind values over oceanic and land regions in Europe is assessed from hourly data of ERA5 reanalysis for the period 1979-2018. An absolute threshold (cut-in) related to a generalized wind power curve is used. The number of hours below cut-in threshold (3 m/s) present a reasonable agreement with the available observations, with annual values around 3000-4000 h for most of the locations over Europe, although severe limitations are found to properly represent wind speed field over mountainous areas. Important differences in the amount of hours below cut-in threshold are obtained between northern and southern regions of the domain, where the overall more complex orography and coast line seems to play a relevant role. Interannual and seasonal low wind variability show differences larger than 20-25\% for both timescales. Atlantic Ocean and Mediterranean regions behave differently, but both with less low wind values than land regions. In terms of persistence, analysis of low wind spells indicate that the largest ones, on annual averages, can reach up to 120 consecutive hours (4-5 days) over many land areas. Overall, mean hourly wind spells range from 10 to 20 h, with more than 200 episodes per year
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