Design a computer tool capable of predicting the viability of a renewable energy installation

Design a computer tool capable of predicting the viability of a renewable energy installation https://noticiasdelaciencia.com/upload/images/11_2018/4213_dsc05402_1542884848-800x600.jpg?44

Design a computer tool capable of predicting the viability of a renewable energy installation





The system has been developed by the Industrial Electronic Instrumentation group of the UCO (Spain), and aims to offer a complete preliminary analysis to developers on the suitability of using a specific source of renewable energy in a specific place while designing their proposal. The system combines for the first time technical, economic and environmental data, and includes a calculation of the carbon footprint reduction that the planned installation would have by means of a simple user interface.

 

The basis of the work 'First Approach to a Holistic Tool for Assessing RES Investment Feasibility', published in the journal Sustainability, is part of the doctoral studies of a student the master's degree in Distributed Renewable Energy of the UCO, which is also an entrepreneur in the sector. José María Flores Arias, academic director of the master and one of the authors, explains to the Foundation Discover the objectives of the study: "provide a complete apriorista analysis tool to designers or promoters that allows them to make a study of energy, technical, financial feasibility and environmental in real time, while designing the proposal ".

 

According to the authors of the work, involving researchers from the Polytechnic University of Marche (Ancona, Italy) and the University of Aalborg (Denmark), the current systems to measure the viability of a renewable energy facility are partial, evaluating only one type determined from a source (solar, wind, etc.) in a given location. "Our proposal creates a large database of multiparameter information from various providers of both structured and unstructured information," says Flores.

 



 

(Photo: F. Discover)

 

To calculate the production of a certain type of renewable energy, the research group has used historical data series provided by government agencies such as NASA, the National Renewable Energy Laboratory of the United States. The technical feasibility has been determined by the efficiency characteristics of the equipment and installations supplied by the manufacturers and the cost of energy. And to study the economic feasibility, parameters such as the cost-benefit ratio or the cash flow of the company were taken into account.

 

The most difficult parameter to estimate is the consumption forecast. For José María Flores, "the precise forecast of the hourly demand curves of any type of installation is what we call a 'hot topic', a topic on which many research groups around the world are doing work, and ours It is one of them. The variability that these demand curves can reach is very high, since they depend on multiple environmental, social, seasonal or temporary parameters, and many others linked to the type and size of the facilities ".

 

The proposed system is a computer tool that allows the user, through a simple interface, to estimate the renewable resources that exist in a geographical area, select the equipment to take better advantage of these resources and combine them with the expected consumption needs. It allows incorporating the investment and service costs of the installation, as well as the savings that occur with energy not supplied, which allows estimating the economic viability of the investment. "In addition, given that computes savings in conventional energy, is able to provide information on carbon footprint reduction that the installation would have," ends Flores.

 

The authors intend to continue developing this tool that they have designed flexible and modular, able to use other databases on renewable energies to present comparable results. In fact, another advantage of the system is to offer analysis comparing different renewable sources, which allow decision-making on which model to choose. (Source: F. Discover)
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