scholarly journals Implementation of Big Data Analytics for Simulating, Predicting & Optimizing the Solar Energy Production

2021 ◽  
Author(s):  
Jabar Yousif
Keyword(s):  
Big Data ◽  
Renewable Energy ◽  
Solar Energy ◽  
Energy Production ◽  
Big Data Analytics ◽  
Quantitative Measure ◽  
Design Stage ◽  
Depth Analysis ◽  
Qualitative Variables ◽  
Mathematical Techniques

<p>This paper investigated and reviewed the current big data methods and tools in solar energy production. It discusses the comprehensive two-stage design and evaluation for examining the optimal structure for renewable energy systems. In the design stage, technical and economic aspects are discussed based on a robust analysis of all input/output variables for determining the highest performance. Next, assess and evaluate the effectiveness of each method under different circumstances conditions. Then convert each qualitative indicator into a quantitative measure using extensive data analysis methods to determine the overall performance of the various qualitative variables. The paper also provides an in-depth analysis of the mathematical techniques used in measuring the efficiency of the renewable energy production system and discussing future axes of work in the field of specific energy.</p>

scholarly journals Implementation of Big Data Analytics for Simulating, Predicting & Optimizing the Solar Energy Production

2021 ◽  
Author(s):  
Jabar Yousif
Keyword(s):  
Big Data ◽  
Renewable Energy ◽  
Solar Energy ◽  
Energy Production ◽  
Big Data Analytics ◽  
Quantitative Measure ◽  
Design Stage ◽  
Depth Analysis ◽  
Qualitative Variables ◽  
Mathematical Techniques

<p>This paper investigated and reviewed the current big data methods and tools in solar energy production. It discusses the comprehensive two-stage design and evaluation for examining the optimal structure for renewable energy systems. In the design stage, technical and economic aspects are discussed based on a robust analysis of all input/output variables for determining the highest performance. Next, assess and evaluate the effectiveness of each method under different circumstances conditions. Then convert each qualitative indicator into a quantitative measure using extensive data analysis methods to determine the overall performance of the various qualitative variables. The paper also provides an in-depth analysis of the mathematical techniques used in measuring the efficiency of the renewable energy production system and discussing future axes of work in the field of specific energy.</p>

scholarly journals Implementation of Big Data Analytics for Simulating, Predicting & Optimizing the Solar Energy Production

2021 ◽  
pp. 133-140
Author(s):  
Jabar Yousif
Keyword(s):  
Big Data ◽  
Renewable Energy ◽  
Solar Energy ◽  
Energy Production ◽  
Geographical Location ◽  
Production Capacity ◽  
Quantitative Measure ◽  
Design Stage ◽  
Depth Analysis ◽  
Overall Performance

The notable developments in renewable energy facilities and resources help reduce the cost of production and increase production capacity. Therefore, developers in renewable energy evaluate the overall performance of the various equipment, methods, and structure and then determine the optimal variables for the design of energy production systems. Variables include equipment characteristics and quality, geographical location, and climatic variables such as solar irradiance, temperature, humidity, dust, etc. This paper investigated and reviewed the current big data methods and tools in solar energy production. It discusses the comprehensive two-stage design and evaluation for examining the optimal structure for renewable energy systems. In the design stage, technical and economic aspects are discussed based on a robust analysis of all input/output variables for determining the highest performance. Next, assess and evaluate the effectiveness of each method under different circumstances conditions. Then convert each qualitative indicator into a quantitative measure using extensive data analysis methods to determine the overall performance of the various qualitative variables. The paper also provides an in-depth analysis of the mathematical techniques used in measuring the efficiency of the renewable energy production system and discussing future axes of work in the field of specific energy.

scholarly journals Is Investing in Companies Manufacturing Solar Components a Lucrative Business? A Decision Tree Based Analysis

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 499
Author(s):  
Sebastian Klaudiusz Tomczak ◽  
Anna Skowrońska-Szmer ◽  
Jan Jakub Szczygielski
Keyword(s):  
Renewable Energy ◽  
Energy Production ◽  
Manufacturing Sector ◽  
Energy Systems ◽  
Product Portfolio ◽  
New Approach ◽  
Renewable Energy Systems ◽  
Pv Systems ◽  
Depth Analysis ◽  
A Company

In an era of increasing energy production from renewable sources, the demand for components for renewable energy systems has dramatically increased. Consequently, managers and investors are interested in knowing whether a company associated with the semiconductor and related device manufacturing sector, especially the photovoltaic (PV) systems manufacturers, is a money-making business. We apply a new approach that extends prior research by applying decision trees (DTs) to identify ratios (i.e., indicators), which discriminate between companies within the sector that do (designated as “green”) and do not (“red”) produce elements of PV systems. Our results indicate that on the basis of selected ratios, green companies can be distinguished from the red companies without an in-depth analysis of the product portfolio. We also find that green companies, especially operating in China are characterized by lower financial performance, thus providing a negative (and unexpected) answer to the question posed in the title.

Renewable Energy Potential of Kazakhstan

2017 ◽  
Vol 379 ◽  
pp. 189-194 ◽  
Author(s):  
Anatoli Vakhguelt
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Energy Production ◽  
High Speed ◽  
Large Population ◽  
Solar Panel ◽  
Aral Sea ◽  
Solar Irradiation ◽  
Energy Harvest ◽  
Alternative Sources

2017 is the year when the capital of Kazakhstan Astana is hosting the EXPO2017 “Future Energy” conference. It is interesting to consider how Kazakhstan is developing renewable energy usage. Kazakhstan with its huge territory and not very large population is having great potential for renewable energy production. Most of the territory has sufficient amount for solar energy harvest and also large amount of area with high speed of wind, which has large potential to produce sufficient amount of wind energy. Areas such as Jungar Gates and Chylyk Corridor have a huge potential for the production of energy by wind turbines. The part of Kazakhstan between the Balkhash Lake and Aral Sea is not very populated due to shortage of water. At the same time this area has a very high level of solar irradiation. It is possible to harvest there a large amount of solar energy if it would have many solar panel arrays installed. The problem difficult to overcome would be the maintenance of these solar panel arrays due to low population and pure living conditions. There are at least two major reasons to go for renewable energy development in the country. First one – Kazakhstani leadership is looking into opportunities to change from a resource economy (it is one of the oil producing countries – it has more than 2% of the world oil reserve and many other resources) to a technology driven one. In this case resources will be used to produce different products. Due to that, one of the challenges is to move from fossil fuel driven energy production to alternative sources and the potential is there. Another stimulus is that Kazakhstan is the country which has joined to Kyoto protocol and Paris agreement. Thus, Kazakhstan tends to reduce greenhouse effect and also Kazakhstan is going towards the generation of energy from alternative sources. The government of the country is developing the legislation in direction to encourage producers and users to increase share of alternative sources for energy generation in Kazakhstan. It provides users with benefits if they supply energy produced by alternative sources to the grid with preferable rates.

scholarly journals Is a 100% Renewable Energy Economy Possible in the Light of Wind Silence Occurrences?

2018 ◽  
Vol 24 (2) ◽  
pp. 47-65
Author(s):  
Jakub Edward Zaleski
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Energy Production ◽  
Consumer Behaviour ◽  
Renewable Energy Sources ◽  
Electricity Production ◽  
Renewable Electricity ◽  
Production And Consumption ◽  
Hourly Data ◽  
Energy Economy

Abstract This article is focused on analysing the present state of renewable electricity production and consumption coverage in Germany, concentrating on the intermittence of wind and solar energy production and considering the significance of the wind silence phenomenon. The development and promotion of renewable energy is a major goal set out by politicians of which one example is the German plan “Energiewende”. The author examines wind and solar energy complementarity and attempts assessing the possibility of basing Germanys’ electricity production on renewable energy sources, without significant advancements in technology and changes in consumer behaviour. Using the analysis based on hourly data of consumption and production by source of electricity in Germany in 2016, the research addresses the issues of renewable energy source effectiveness, intermittence and points to the critical matter of periodical unavailability of wind and solar energy.

Co-locating Food and Energy Production to Create Sustainable Agricultural Systems

2021 ◽  
Author(s):  
Greg A Barron-Gafford ◽  
Mitchell Pavao-Zuckerman ◽  
Kai Lepley ◽  
Andrea Gerlak
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Interest Rates ◽  
Energy Production ◽  
Crop Yields ◽  
Energy Systems ◽  
Labor Conditions ◽  
Pollinator Abundance ◽  
Trade Offs ◽  
Renewable Energy Production

&lt;p&gt;We have significant vulnerabilities across our food, water, and energy systems &amp;#8211; any of which could undermine societal resilience in light of growing populations and climatic change. Rising average temperatures, extremes in precipitation, and more severe storms present increasing agricultural production risks &amp;#8211; particularly across dryland regions. Land managers across the southwestern United States are already feeling the pressures of a changing climate. Between 11&amp;#8211;21% of the total irrigated acreage experienced yield declines over the past 40 years due to irrigation interruptions &amp;#8212; despite increased water usage. Food producers are experiencing increased uncertainties around production security from severe weather, interest rates to invest in climate adaptations, income support payments or incentives, and climate-related risks to pollinator abundance that affect crop yields and labor conditions and availability. Combined with trends towards increases in retirements from farming, these risks are leading to more land moving out of food production &amp;#8212; often shifting to energy production. A growing demand for photovoltaic (PV) solar energy from ground-mounted systems, projected to require ~8,000 km2 by 2030, is resulting in an increase of land-use conflicts for these two primary needs &amp;#8212; food and energy. Is it possible to improve both food and renewable energy production security sustainably? An &amp;#8216;either-or&amp;#8217; discourse between food and PV solar energy production unnecessarily compounds issues related to allocating space, water, and capital for development of sustainable strategies.&lt;/p&gt;&lt;p&gt;We believe that a hybrid agricultural-PV solar &amp;#8216;agrivoltaics&amp;#8217; can increase resilience in food and renewable energy production, water and soil conservation, and rural prosperity and economic development&amp;#8212;critical sustainability metrics. However, successful adoption of this technology requires research from a socio-environmental systems perspective to optimize bio-technical trade-offs at the field scale, while also rigorously assessing the sociopolitical barriers and how to overcome them at both individual and societal levels. Our research design is centered on stakeholder engagement approaches with impactful, associated outreach activities to communicate and enhance the reach of potential benefits of agrivoltaics. An emerging trend in sustainability research has been to recognize that resource challenges need to be addressed as integrated and interconnected sets of issues, where outcomes result from interacting social (S), ecological (E), and technological (T) subsystems (SETS). Often, sustainability transitions are seen more as a governance challenge than an infrastructure or technological challenge. That is, while technological solutions such as agrivoltaics can be developed, the adoption and spread of innovations takes place through a myriad of social, political, and economic processes. This is further complicated across food and energy systems, where multiple stakeholders present different backgrounds, cultures, demographics, and decision making processes. We describe an evaluation of agrivoltaic systems from a holistic SETS perspective in order to develop implementation pathways for widespread adoption of agrivoltaics across the US.&lt;/p&gt;

scholarly journals Raising the Roof : Making Contemporary Housing Developments Solar Ready

2021 ◽  
Author(s):  
Charles B Riddell
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Energy Production ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Southern Ontario ◽  
Housing Developments ◽  
Electrical Consumption ◽  
Current Energy ◽  
Growing Population

With a growing population and the inevitable increase in demand for energy, cities planners and developers need to design communities that are sustainable and resilient to meet the ever growing challenges of the 21st century. Solar energy is a viable attribute to our current energy production and, as this research indicates, provides an opportunity to move towards a renewable energy system. Solar ready homes can help bridge the transition from non-renewable to renewable energy sources, by provide infrastructure that has the ability to exploit solar resources. The overall objective of this research is to quantify the potential solar energy generated from roofs in a typical contemporary housing development built in southern Ontario through simulations. Further analysis showed that small simplified modification to the original roof typography can increase solar electrical production in some cases as high as 47%. Furthermore, by pooling the solar electrical production of a cluster of homes that represent a block in a typical contemporary neighbourhood, simulation were conducted and showed that significantly portion of the blocks electrical consumption could be offset through roof top solar generation.

scholarly journals Application of big data in the design of expert systems

2020 ◽  
Vol 15 (90) ◽  
pp. 130-141
Author(s):  
Oleg P. Kultygin ◽  
Keyword(s):  
Big Data ◽  
Expert System ◽  
Expert Systems ◽  
Design Stage ◽  
Modern World ◽  
Enterprise Information System ◽  
Analysis And Design ◽  
Object Oriented Design ◽  
Industrial Enterprises ◽  
Depth Analysis

The relevance of the topic considered in the article lies in solving the problems of designing expert systems for industrial enterprises based on big data technology. The purpose of the study is to analyze the applied methodologies at the design stage of an enterprise information system, to develop algorithms for the operation of an expert system with big data. A brief statement of the problem consists in analyzing the technologies available on the market for working with big data and the possibility of using them for expert systems, identifying the main stages of working with big data for industrial enterprises. In the modern world, the problem of using Big Data has become extremely urgent. Companies, firms and corporations that are leaders in the field of information technology and business conduct are busy looking for optimal solutions for managing a huge amount of constantly incoming information and its in-depth analysis. They are looking for ways to profit from the data at their disposal, trying to get new data from the existing ones. Developing your own expert system is more cost effective. Methods used - methods of analysis and design IDEF0, DFD, IDEF1, IDEF3, methods of functional (structural) design, methods of object-oriented design. The results obtained - a method of using big data to create an expert system for an industrial enterprise has been developed. Implementation of such an expert system on your own is much cheaper than purchasing ready- made software systems.

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