scholarly journals On the Influence of Renewable Energy Sources in Electricity Price Forecasting in the Iberian Market

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2082 ◽  
Author(s):  
Diego Aineto ◽  
Javier Iranzo-Sánchez ◽  
Lenin G. Lemus-Zúñiga ◽  
Eva Onaindia ◽  
Javier F. Urchueguía

The mainstream of EU policies is heading towards the conversion of the nowadays electricity consumer into the future electricity prosumer (producer and consumer) in markets in which the production of electricity will be more local, renewable and economically efficient. One key component of a local short-term and medium-term planning tool to enable actors to efficiently interact in the electric pool markets is the ability to predict and decide on forecast prices. Given the progressively more important role of renewable production in local markets, we analyze the influence of renewable energy production on the electricity price in the Iberian market through historical records. The dependencies discovered in this analysis will serve to identify the forecasts to use as explanatory variables for an electricity price forecasting model based on recurrent neural networks. The results will show the wide impact of using forecasted renewable energy production in the price forecasting.

2020 ◽  
Vol 5 (2(71)) ◽  
pp. 18-25
Author(s):  
Joshgun Mammadov

The article focuses on the negative impact of traditional energy sources and the analysis of its complications on the environment. It has been suggested to use widespread of non-traditional, alternative and renewable energy sources in order to eliminate dependencies on these sources. The article also examines the role of tax policy in the international area towards increasing alternative and renewable energy production and explores implemented measures. As a result, the importance of employment of Carbon tax which is of particular importance in the development of alternative and renewable energy production has been emphasized.


2020 ◽  
Vol 10 (3) ◽  
pp. 837
Author(s):  
Matteo Prussi

Anthropogenic greenhouse gas emissions are dramatically influencing the environment, and research is strongly committed in proposing alternatives, mainly based on renewable energy sources [...]


2020 ◽  
Vol 12 (5) ◽  
pp. 2062 ◽  
Author(s):  
Mariarosa Argentiero ◽  
Pasquale Marcello Falcone

This paper is based on a novel approach towards clean energy production, i.e., space innovative applications toward sustainable development. Specifically, the role of Earth observation (EO) satellites in maximizing renewable energy production is considered to show the enormous potential in exploiting sustainable energy generation plants when the Earth is mapped by satellites to provide some peculiar parameters (e.g., solar irradiance, wind speed, precipitation, climate conditions, geothermal data). In this framework, RETScreen clean energy management software can be used for numerical analysis, such as energy generation and efficiency, prices, emission reductions, financial viability and hazard of various types of renewable-energy and energy-efficient technologies (RETs), based on a large database of satellite parameters. This simplifies initial assessments and provides streamlined processes that enable funders, architects, designers, regulators, etc. to make decisions on future clean energy initiatives. After describing the logic of life cycle analysis of RETScreen, two case studies (Mexicali and Toronto) on multiple technologies power plant are analyzed. The different results obtained, when projecting the two scenarios, showed how the software could be useful in the pre-feasibility phase to discriminate the type of installation not efficient for the selected location or not convenient in terms of internal rate of return (IRR) on equity.


Author(s):  
Domenico Coiante

- The Italian energy balance for year 2005 is discussed with particular attention on renewable energy production. The potentials of renewable sources are evaluated in terms of energy density that can be obtained from occupied plant area. About 20000 km2 of sunny barren lands are present in South of Italy, particularly suitable for photovoltaic plants and that corresponds to a potential production of 144 Mtep of primary energy. Therefore, in theory, the photovoltaic energy potential is comparable with energy balance. The grid connection limit due to intermittent power generation of photovoltaic and wind energy systems is considered in relation with the stability of grid power level. Assuming a 25% maximum grid penetration of intermittent power with respect to capacity of active thermoelectric generators, the renewable energy contribution amounts to about 2% of annual energy balance. In front of expectations for a larger contribution, the practical result is the renewable energy production of present systems is marginal, unsuitable for counteracting the global climate crisis. The conclusion is that, for exploiting the large renewable energy potential, is necessary to implement the plants with an energy storage system able to overcome the source intermittency. Without this improvement, the expectations on renewable energy sources could be disappointed.Key words: intermittent renewable sources, energy production limit, grid connection


Author(s):  
Hui Huang ◽  
Wenyuan Liao ◽  
Hesam Parvaneh

Due to the world rapid population growth, the need for energy is accelerated especially in the residential sector. One of the most efficient ways of responding to energy demand is the utilisation of energy prosumers (EPs). EPs are able to consume and produce energy by using renewable energy sources (RESs) and energy storage systems (ESSs). In this paper,  optimal scheduling and operation of a residential EP is proposed considering electricity price forecasting. A hybrid adaptive network-based fuzzy inference system (ANFIS)-genetic algorithm (GA) model is proposed for day-ahead price forecasting. Then, forecasted price values are applied to a real-world EP test system. It is revealed that the proposed hybrid ANFIS-GA model can forecast electricity prices properly. However, due to the high linearity of price patterns, the proposed algorithm was not able to accurately forecast peak-prices. Based on the results, the optimal operation of ESSs is affected by the uncertainty of electricity price.


2021 ◽  
Author(s):  
Suzanna Elmassah

Abstract Energy is essential for development and economic growth, but traditional non-renewable energy sources are finite and have significant adverse environmental impacts. Therefore, there is an increasing interest in energy generation from renewable sources. However, research to date in this field does not sufficiently identify the common factors determining the uptake of renewable energy in emerging and developed countries. This paper addresses that gap by identifying the complex interrelationships between factors that determine the extent to which countries convert to renewable energy. The article's primary focus is a detailed statistical analysis of 10 developed and 16 emerging countries using annual data from 1976–2018. The objective is to examine the interrelationships and elasticities between increased production of renewable energy and three key socioeconomic variables; GDP, CO2 emissions, and oil price. This research uses panel data and time-series analyses to identify panel and country-specific elasticity of renewable energy production and dynamic causal relationships between these variables. It also applies fully modified and dynamic ordinary least square approaches. The study details the different interactions between the variables in each country. It uses an autoregressive distributed lag model to determine the long and short-run dynamics between renewable energy production and the three variables in each country. The paper shows there was a long-run elasticity between renewable energy and GDP in the developed countries and short-run dynamics between renewable energy and the other two variables. Whereas in the emerging countries category, there were long-run relationships between renewable energy and GDP, CO2 emissions, and oil price.


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