The impact of renewable energy resources on the electricity prices of the United Kingdom

2016 ◽  
Author(s):  
Sara Lupo ◽  
Aristides E. Kiprakis
Keyword(s):  
United Kingdom ◽  
Renewable Energy ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Electricity Prices ◽  
The United Kingdom ◽  
The Impact

scholarly journals Impact of the Renewable Energy Development in Lithuania‘s Energy Economy

2019 ◽  
Vol 8 (4) ◽  
pp. 75
Author(s):  
Rita Bužinskienė
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Research Problem ◽  
Energy Sector ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Linear Regression Models ◽  
Energy Productivity ◽  
Energy Economy ◽  
The Impact

Paper is characterized by scientific novelty as it involves a very scarce research problem in Lithuanian‘s energy sector, assessing the impact of renewable energy resources on the energy economy. Renewable energy sources have a multiplier effect in spurring the economy and the development of not only the energy sector but also all the supporting activities related to such industry. The impact of the development of renewable energy is one of the factors that develop the quality of technology innovation development. This study includes the impact of renewable energy on the energy economy, using multiple linear regression models. The results of the study have shown that renewable energy resources: wind, sun, water, geothermal and biomass can not always be used together because they compete with each other and therefore reduce the efficiency of the energy economy. In this context, three combinations of renewable energy resources have been developed, which have been adapted to assess the impact of the energy economy on energy productivity and energy intensity. It has been found that the combination of resources of the second model (M2) RE is significant for the efficiency of the energy economy.Keywords: Renewable energy resources; Energy economy; Impact of efficiency

scholarly journals Optimal Sizing of Hybrid Wind-Solar Power Systems to Suppress Output Fluctuation

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5377
Author(s):  
Abdullah Al-Shereiqi ◽  
Amer Al-Hinai ◽  
Mohammed Albadi ◽  
Rashid Al-Abri
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Wind Power ◽  
Iterative Algorithm ◽  
Wind Farm ◽  
Energy Resources ◽  
Weather Data ◽  
Optimal Size ◽  
Renewable Energy Resources ◽  
The Impact

Harnessing wind energy is one of the fastest-growing areas in the energy industry. However, wind power still faces challenges, such as output intermittency due to its nature and output reduction as a result of the wake effect. Moreover, the current practice uses the available renewable energy resources as a fuel-saver simply to reduce fossil-fuel consumption. This is related mainly to the inherently variable and non-dispatchable nature of renewable energy resources, which poses a threat to power system reliability and requires utilities to maintain power-balancing reserves to match the supply from renewable energy resources with the real-time demand levels. Thus, further efforts are needed to mitigate the risk that comes with integrating renewable resources into the electricity grid. Hence, an integrated strategy is being created to determine the optimal size of the hybrid wind-solar photovoltaic power systems (HWSPS) using heuristic optimization with a numerical iterative algorithm such that the output fluctuation is minimized. The research focuses on sizing the HWSPS to reduce the impact of renewable energy resource intermittency and generate the maximum output power to the grid at a constant level periodically based on the availability of the renewable energy resources. The process of determining HWSPS capacity is divided into two major steps. A genetic algorithm is used in the initial stage to identify the optimum wind farm. A numerical iterative algorithm is used in the second stage to determine the optimal combination of photovoltaic plant and battery sizes in the search space, based on the reference wind power generated by the moving average, Savitzky–Golay, Gaussian and locally weighted linear regression techniques. The proposed approach has been tested on an existing wind power project site in the southern part of the Sultanate of Oman using a real weather data. The considered land area dimensions are 2 × 2 km. The integrated tool resulted in 39 MW of wind farm, 5.305 MW of PV system, and 0.5219 MWh of BESS. Accordingly, the estimated cost of energy based on the HWSPS is 0.0165 EUR/kWh.

scholarly journals Impact of Renewable Energy on Economic Growth and CO2 Emissions—Evidence from BRICS Countries

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1281
Author(s):  
Qinghua Fu ◽  
Susana Álvarez-Otero ◽  
Muhammad Safdar Sial ◽  
Ubaldo Comite ◽  
Pengfei Zheng ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Co2 Emissions ◽  
Least Square ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Ordinary Least Square ◽  
Brics Countries ◽  
Production And Consumption ◽  
The Impact

The global focus on the use of renewable energy resources was mainly reignited by the signing of the Kyoto Protocol Agreement in 1997. Since then, the world has seen a great deal of progress in terms of the production and consumption of renewable energy. This in turn is rapidly powering economic growth and social development around the globe. Contrary to popular belief, the use of renewable energy is not limited to developed countries only. The developing countries are also rapidly endorsing renewable energy as a vital engine of economic growth and societal development. In this regard, even though renewable energy production and consumption are in their infancy in BRICS, these countries are taking concrete steps towards the development of renewable energy resources. The results of previous studies have indicated that with an increase in the GDP of a country its carbon footprint also tends to increase; the Brazil, Russia, India, China, and South Africa (BRICS) countries are no exception in this regard. One of the main challenges in research related to measuring the contribution of renewable energy towards economic growth is the use of a singular model or techniques that may not be appropriate for the generalization of the results. This study intends to overcome this challenge by application of multiple econometric-based models which include the “Cross Dependency” test, the unit root test, and “CIPS” (cross-sectional augmented IPS). Besides these the second generation, stochastic models based upon econometrics, such as the DOLS test (dynamic ordinary least square) and the FMOLS (fully modified ordinary least square) are also applied for verification of the contribution of renewable energy towards the economic growth of the BRICS countries. The novelty of the study mainly stems from fact that these models are seldom applied in tandem and especially in the BRICS countries. The results of the study indicate that the existence of the bi-directional relationship between the use of renewable energy and economic growth is mainly indicated by the increase in GDP, thus lending support to the feedback hypothesis. Moreover, the conservation hypothesis was proven by the existence of a unidirectional causality relationship between the use of renewable energy and CO2 emissions. Alongside these, the study also included sensitivity analysis to gauge the impact of the growth of GDP on the CO2 emissions of BRICS countries, and regression analysis was performed to create an EKC curve which was used to gauge not only the sensitivity but also to help in highlighting the impact of using renewable energy in controlling and reducing CO2 emissions, thus proving the EKC theory. Thus, it can be deduced that increase in CO2 emissions is of major concern for the BRICS countries, which has led them to increase the production of renewable energy. Based upon the findings of the present study it is recommended that policymakers should encourage the use of renewable energy by offering incentives in financial terms, such as interest-free or low-interest loans, subsidies and feed-in tariffs.

scholarly journals The Impact of the North Atlantic Oscillation on Renewable Energy Resources in Southwestern Europe

2013 ◽  
Vol 52 (10) ◽  
pp. 2204-2225 ◽  
Author(s):  
S. Jerez ◽  
R. M. Trigo ◽  
S. M. Vicente-Serrano ◽  
D. Pozo-Vázquez ◽  
R. Lorente-Plazas ◽  
...  
Keyword(s):  
Renewable Energy ◽  
North Atlantic Oscillation ◽  
North Atlantic ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
The North ◽  
Prevailing Wind Direction ◽  
The North Atlantic ◽  
The North Atlantic Oscillation ◽  
The Impact

AbstractEurope is investing considerably in renewable energies for a sustainable future, with both Iberian countries (Portugal and Spain) promoting significantly new hydropower, wind, and solar plants. The climate variability in this area is highly controlled by just a few large-scale teleconnection modes. However, the relationship between these modes and the renewable climate-dependent energy resources has not yet been established in detail. The objective of this study is to evaluate the impact of the North Atlantic Oscillation (NAO) on the interannual variability of the main and primary renewable energy resources in Iberia. This is achieved through a holistic assessment that is based on a 10-km-resolution climate simulation spanning the period 1959–2007 that provides physically consistent data of the various magnitudes involved. A monthly analysis for the extended winter (October–March) months shows that negative NAO phases enhance wind speeds (10%–15%) and, thereby, wind power (estimated around 30% at typical wind-turbine altitudes) and hydropower resources (with changes in precipitation exceeding 100% and implying prolonged responses in reservoir storage and release throughout the year), while diminishing the solar potential (10%–20%). Opposite signals were also sporadically identified, being well explained when taking into account the orography and the prevailing wind direction during both NAO phases. An additional analysis using real wind, hydropower, and solar power generation data further confirms the strong signature of the NAO.

scholarly journals Distribution System Operation with Electric Vehicle Charging Schedules and Renewable Energy Resources

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3117 ◽  
Author(s):  
Gerardo Osório ◽  
Miadreza Shafie-khah ◽  
Pedro Coimbra ◽  
Mohamed Lotfi ◽  
João Catalão
Keyword(s):  
Renewable Energy ◽  
Distribution Systems ◽  
Distributed Storage ◽  
Critical Role ◽  
Energy Resources ◽  
Pollutant Emissions ◽  
Renewable Energy Resources ◽  
Load Profile ◽  
The Impact ◽  
Ev Charging

Electric vehicles (EVs) promote many advantages for distribution systems such as increasing efficiency and reliability, decreasing dependence on non-endogenous resources, and reducing pollutant emissions. Due to increased proliferation of EVs and their integration in power systems, management and operation of distribution systems (ODS) is becoming more important. Recent studies have shown that EV can increase power grid flexibility since EV owners do not use them for 93–96% of the daytime. Therefore, it is important to exploit parking time, during which EVs can act either as a load or distributed storage device, to maximize the benefit for the power system. Following a survey of the current state-of-the-art, this work studies the impact of EV charging on the load profile. Since renewable energy resources (RES) play a critical role in future distribution systems the current case study considered the presence of RES and their stochastic nature has been modeled. The study proceeds with analyzing EV owners’ driving habits, enabling prediction of the network load profile. The impact of: EV charging modes (i.e., controlled and uncontrolled charging), magnitude of wind and photovoltaic (PV) generation, number of EVs (penetration), and driving patterns on the ODS is analyzed.

scholarly journals Impact of Climate Change on Wind and Photovoltaic Energy Resources in the Canary Islands and Adjacent Regions

2021 ◽  
Vol 13 (8) ◽  
pp. 4104
Author(s):  
Claudia Gutiérrez ◽  
Alba de la Vara ◽  
Juan Jesús González-Alemán ◽  
Miguel Ángel Gaertner
Keyword(s):  
Climate Change ◽  
Renewable Energy ◽  
Canary Islands ◽  
Energy Transition ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Impact Of Climate Change ◽  
Climate Simulations ◽  
Surrounding Areas ◽  
The Impact

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 and surrounding areas. Variability is assessed through the analysis of energy droughts (low-productivity periods). In addition, a sensitivity test is performed to find the optimal combination of PV (photovoltaic) and wind that reduce energy droughts and the persistence of that conditions at a local scale. A set of climate simulations from the MENA-CORDEX runs are used, in present and future climate (2046–2065, 2081–2100) for two different scenarios (RCP2.6, RCP8.5). Results show different changes in wind productivity depending on the scenario: a decrease in RCP2.6 and an increase in the RCP8.5. PV experienced a subtle decrease, with some exceptions. Changes in variability are small and the complementarity test shows that high shares of PV energy (above 50%) reduce both, energy droughts and the persistence of drought conditions.

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