Microreactors: ‘micro’managing our macro energy demands

2019 ◽  
Vol 13 (3) ◽  
pp. 590-596
Author(s):  
Olivia Rossi ◽  
Arvind Chandrasekaran

Purpose The purpose of this paper is to answer this question by discussing the practicality of implementing microreactor technology towards large-scale renewable energy generation, as well as provide an incentive for future researchers to utilize microreactors as a useful alternative tool for green energy production. However, can microreactors present a viable solution for the generation of renewable energy to tackle the on-going global energy crisis? Design/methodology/approach In this paper, the practicality of implementing microreactor technology toward large-scale renewable energy generation is discussed. Specific areas of interest that elucidate considerable returns of microreactors toward renewable energy production are biofuel synthesis, hydrogen conversion and solar energy harvesting. Findings It is believed that sustained research on microreactors can significantly accelerate the development of new energy production methods through renewable sources, which will undoubtedly aid in the quest for a greener future. Originality/value This work aims to provide a sound judgement on the importance of research on renewable energy production and alternative energy management methods through microreactor technology, and why future studies on this topic should be highly encouraged. The relevance of this opinion paper lies in the idea that microreactors are an innovative concept currently used in engineering to significantly accelerate chemical reactions on microscale volumes; with the feasibility of high throughput to convert energy at larger scales with much greater efficiency than existing energy production methods.

Author(s):  
Marcia Carla Pereira Ribeiro ◽  
Caroline Paglia Nadal ◽  
Weimar Freire Rocha Junior ◽  
Rui Manuel De Sousa Fragoso ◽  
Cleber Antonio Lindino

The present article discusses the institutional model adopted in Brazil regarding energy production through biomass. The theoretical-empirical method is used to conclude that the model's difficulties can be overcome by adopting a network of contracts capable of subjecting renewable energy generation to an energy compensation model.


2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Jordan Guillot ◽  
Adolfo Viloria

Los generadores eólicos son sistemas de producción de energía renovable, que adquieren su energía de la circulación del aire que pasa a través de sus aspas. Estos sistemas son muy usados a nivel mundial para la generación de energía, convirtiéndose en los más usados. Pero ellos como todos los sistemas de generación de energía renovable, poseen inconvenientes, como es la producción de energía cuando no hay flujo de viento, o como evitar el daño en las baterías por la carga y descarga en los sistemas autónomos. La figura de investigación teórica de laboratorio arrojo que todas estas interrogantes tienen una solución bastante sencilla que es la utilización de un sistema hibrido, el diseño de un sistema de elevación con poca energía para el transporte de la energía suministrada por aerogenerador y la creación de un controlador de carga hibrido especial con un control robusto al momento del suministro de energía. AbstractWind generators are systems of renewable energy production, which get their energy from the flow of air that passes through its blades. These systems are used worldwide to power generation, becoming the most used. But they and all systems of renewable energy generation, have drawbacks, such as energy production when there is no wind flow, or prevent damage to batteries by charging and discharging in autonomous systems. Figure theoretical research laboratory throw all these questions have a rather simple solution is to use a hybrid system, the design of a lifting system with low energy to transport the energy supplied by the wind turbine and the creation of a special hybrid charge controller with a robust control at the time of power supply. 


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):  
Piet Eichholtz ◽  
Nils Kok ◽  
Mike Langen ◽  
Daan van Vulpen

AbstractRenewable energy production is one of the most important policy instruments to fight climate change. However, despite global benefits, renewable energy production entails some local challenges, such as requiring more space per unit production capacity. In this paper, we study the external effects of large-scale conventional and renewable electric power generation facilities on local house prices. We combine information of all coal, gas, and biomass plants, as well as all wind turbines in the Netherlands, with 1.5 million housing transactions over a period of 30 years. Using a difference-in-difference as well as a repeated sales model, we study the effects of facility openings and closings. Our results show negative external price effects for gas plants and wind turbines, but positive effects for biomass plants, conditionally upon ex-ante lower priced locations. The external effects of power generating facilities on local housing markets are important to consider, especially with the current focus of public policies on the expansion of renewable energy generation. Our paper is one of the first to present a large-scale study, using detailed information, and comparing several different energy sources in one framework.


Energies ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 302
Author(s):  
Yuchen Yang ◽  
Kavan Javanroodi ◽  
Vahid M. Nik

Climate change can strongly affect renewable energy production. The state of the art in projecting future renewable energy generation has focused on using regional climate prediction. However, regional climate prediction is characterized by inherent uncertainty due to the complexity of climate models. This work provides a comprehensive study to quantify the impact of climate uncertainties in projecting future renewable energy potential over five climate zones of Europe. Thirteen future climate scenarios, including five global climate models (GCMs) and three representative concentration pathways (RCPs), are downscaled by the RCA4 regional climate model (RCM) over 90 years (2010–2099), divided into three 30-year periods. Solar and wind energy production is projected considering short-/long-term climate variations and uncertainties in seven representative cities (Narvik, Gothenburg, Munich, Antwerp, Salzburg, Valencia, and Athens). The results showed that the uncertainty caused by GCMs has the most substantial impact on projecting renewable energy generation. The variations due to GCM selection can become even larger than long-term climate change variations over time. Climate change uncertainties lead to over 23% and 45% projection differences for solar PV and wind energy potential, respectively. While the signal of climate change in solar radiation is weak between scenarios and over time, wind energy generation is affected by 25%.


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