scholarly journals Implementing an Energy Calculator in a Mobile Based Application for Solar Potential Measurement

2018 ◽  
Vol 7 (3.6) ◽  
pp. 403
Author(s):  
S Mohana Krishnan ◽  
Saurav Rawat ◽  
M Surender ◽  
R Balakrishna ◽  
R Anandan
Keyword(s):  
Renewable Energy ◽  
Solar Radiation ◽  
Large Scale ◽  
Resource Assessment ◽  
Mobile App ◽  
Solar Photovoltaic ◽  
Energy Monitoring ◽  
Potential Measurement ◽  
Quick Estimate ◽  
Renewable Energy Generation

Solar photovoltaic (PV) technology has matured to become a technically viable large scale source of sustainable energy. Understanding the rooftop PV potential is critical for utility planning, accommodating grid capacity, deploying financing schemes and formulating future adaptive energy policies. The NIWE (National Institute of Wind Energy) under MNRE (Ministry of New and Renewable Energy) is an esteemed institute dedicated to Indian wind and solar renewable energy generation and monitoring. The SRRA (Solar Radiation and Resource Assessment) is a division under NIWE that is responsible for solar energy monitoring throughout India. They have created the Solar Radiation Map of India using high quality, ground measured solar data. This asks the question, whether it is possible to get a quick estimate of a solar installation. Thus, the paper explains the problems in the field of solar potential measurement and the deployment of a calculator in a mobile front platform. The mobile app would quickly and effortlessly give a rough estimate on what a solar installation could save in power consumption costs.  

Microreactors: ‘micro’managing our macro energy demands

2019 ◽  
Vol 13 (3) ◽  
pp. 590-596
Author(s):  
Olivia Rossi ◽  
Arvind Chandrasekaran
Keyword(s):  
Renewable Energy ◽  
Energy Production ◽  
Large Scale ◽  
Energy Generation ◽  
Green Energy ◽  
Content Type ◽  
Production Methods ◽  
Renewable Energy Production ◽  
Microreactor Technology ◽  
Renewable Energy Generation

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.

scholarly journals Selecting optimal site for solar photovoltaic plant in Ikwerre L.G.A., Rivers State, Nigeria

2020 ◽  
Vol 5 (2) ◽  
pp. 071-085
Author(s):  
Jeremiah Uriah Richard ◽  
Godwill Tamunobiekiri Pepple
Keyword(s):  
Renewable Energy ◽  
Local Government ◽  
Solar Radiation ◽  
Power Supply ◽  
Road Network ◽  
Local Government Area ◽  
Solar Photovoltaic ◽  
Solar Plant ◽  
Photovoltaic Plant ◽  
Rivers State

Erratic power supply is a serious problem to most part of Rivers State, Nigeria in general and Ikwerre Local Government Area in particular. This situation does not only halt social and economic development of the area but has also given birth to other social vices such as arm robbery, kidnapping, and other criminal activities. Renewable energy is an alternative form of energy aim at alleviating the problems of erratic power supply. It is generally considered as the cleanest form of energy. Solar photovoltaic is a type of renewable energy which derived its energy from the sun. The construction of solar plant requires the selection of suitable location for the generation of optimal energy. The purpose of the study is to determine suitable locations in Ikwerre Local Government Area, Rivers State to site solar photovoltaic plant using multi-criteria analysis (MCA) in ESRI’s ArcGIS. The dataset used for the determination of the optimal sites include; solar radiation and slope map produced from digital terrain model (DTM), pipeline, road network, land use/ cover map, soil map, and settlement. The datasets were converted to raster and reclassed into six classes for the purpose of data integration. The datasets were weighted according to their relative importance in the weighted overlay tool. Solar radiation has the highest percentage influence 40, followed by proximity to pipeline and road network which are 15 each. The model produced four suitability classes ranging from poorly suitable to highly suitable class. Highly suitable class has an area of 10139.87ha with 548 polygons, representing 15.78% of the study area. Further analysis was carried out using highly suitable class and settlement layer, it was found that three (3) optimal sites were obtained as most suitable for sitting solar plant. The three polygons were located in the region with very high solar radiation, accessible to road and away from built-up areas. The above results suggest the usefulness of GIS in site selection, particularly in sitting solar photovoltaic plant. It is recommended that further study should include transmission line which was completely omitted in this analysis due to inability to get the shapefile from the ministry of power.

scholarly journals Investigation of behavior of BESS with PV using MATLAB/Simulink

2021 ◽  
Vol 9 (10) ◽  
pp. 1726-1730
Author(s):  
Yash Gupta
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Solar Photovoltaic ◽  
Distributed Energy ◽  
Distributed Energy Storage ◽  
Wide Range ◽  
Renewable Energy Generation ◽  
Distribution Grids

Abstract: As renewable energy penetration rises, integrating it will become a major issue that will necessitate new generating support infrastructure; an energy storage system is one answer to this problem. Battery technologies, in particular, have a wide range of energy and power output capabilities, making them perfect for integration. In many regions where renewable energy generation systems will be implemented, distributed energy storage on distribution grids may be required. When the sun is not shining or the weather is cloudy, an energy storage system is required for solar photovoltaic systems. For PV applications, a battery is used as an energy storage system. Keywords: Energy storage system, Battery, Simulink and modelling.

Floating solar photovoltaic plants in India – A rapid transition to a green energy market and sustainable future

2021 ◽  
pp. 0958305X2110571
Author(s):  
J. Charles Rajesh Kumar ◽  
MA Majid
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Large Scale ◽  
Solar Power ◽  
Green Energy ◽  
Sustainable Growth ◽  
Energy Market ◽  
Solar Photovoltaic ◽  
Sustainable Future ◽  
Photovoltaic Plants

The 18,000 square kilometers of water reservoirs in India can generate 280 GW of solar power through floating solar photovoltaic plants. The cumulative installed capacity of FSPV is 0.0027 GW, and the country plans to add 10 GW of FSPV to the 227 GW renewable energy target of 2022. The FSPV addition is small related to the entire market for solar energy, but each contribution is appreciated in the renewable energy market. FSPV could be a viable alternative for speeding up solar power deployment in the country and meeting its NDC targets. So far, the country has achieved the world's lowest investment cost for a floating solar installation. Despite the lower costs, generalizations are still premature because FSPV is still in its initial stages of market entry. Continuous innovation and timely adoption of innovative ideas and technology will support India in meeting its solar energy goals and progressing toward a more sustainable future. Governments must establish clear and enforceable policies to assist developers in reducing risks and increasing investor confidence in the sector. Economic and financial feasibility are examined, and various difficulties in technology, design, finances, environment, maintenance, and occupational health that impact the FSPV deployment are discussed. Based on the research, effective and comprehensive FSPV policy suggestions are included to support establishing an appropriate market, fostering competition and innovation, and attracting large-scale investment. This paper aims to stimulate interest among various policy developers, energy suppliers, industrial designers, ergonomists, project developers, manufacturers, health and safety professionals, executing agencies, training entities, and investment institutions of the FSPV plant to implement effective governance planning and help them to participate in their ways to assure sustainable growth.

Large-Scale Renewable Energy Monitoring and Forecast Based on Intelligent Data Analysis

2021 ◽  
pp. 645-669
Author(s):  
Mehmet Baris Ozkan ◽  
Dilek Küçük ◽  
Serkan Buhan ◽  
Turan Demirci ◽  
Pinar Karagoz
Keyword(s):  
Renewable Energy ◽  
Data Analysis ◽  
Large Scale ◽  
Machine Learning Algorithms ◽  
Intelligent Data Analysis ◽  
Statistical Machine Learning ◽  
Energy Monitoring ◽  
Analysis Techniques ◽  
Energy Informatics ◽  
Energy Domain

Intelligent data analysis techniques such as data mining or statistical/machine learning algorithms are applied to diverse domains, including energy informatics. These techniques have been successfully employed in order to solve different problems within the energy domain, particularly forecasting problems such as renewable energy and energy consumption forecasts. This chapter elaborates the use of intelligent data analysis techniques for the facilitation of renewable energy monitoring and forecast. First, a review of the literature is presented on systems and forecasting approaches applied to the renewable energy domain. Next, a generic and large-scale renewable energy monitoring and forecast system based on intelligent data analysis is described. Finally, a genuine implementation of this system for wind energy is presented as a case study, together with its performance analysis results. This chapter stands as a significant reference for renewable energy informatics, considering the provided conceptual and applied system descriptions, heavily based on smart computing techniques.

scholarly journals Verification of Utility-Scale Solar Photovoltaic Plant Models for Dynamic Studies of Transmission Networks

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3191
Author(s):  
Ram Machlev ◽  
Zohar Batushansky ◽  
Sachin Soni ◽  
Vladimir Chadliev ◽  
Juri Belikov ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Frequency Response ◽  
Power Plants ◽  
Large Scale ◽  
Dynamic Models ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Solar Photovoltaic ◽  
Transmission Networks ◽  
Dynamic Phenomena

In recent years, there has been a growing need for accurate models that describe the dynamics of renewable energy sources, especially photovoltaic sources and wind turbines. In light of this gap, this work focuses on the validation of standard dynamic models developed by the Western Electricity Coordinating Council (WECC), using actual measurements from the Western Texas and Southern California transmission networks. The tests are based on the North American Electric Reliability Corporation compliance standards and include dynamic stability tests for volt-varcontrol and primary frequency response. Through an extensive set of field tests, we show that the WECC generic models can be used to simulate real dynamic phenomena in large-scale solar photovoltaic power plants, and we propose guidelines for correct usage of these models. The results show that the WECC models are especially accurate when the photovoltaic system is connected with a low impedance to the main network. We also show that the tested WECC models successfully predict the frequency response of an actual grid event that occurred in the Electric Reliability Council of Texas and which resulted in a loss of nearly 1.365 GW. This result supports the use of these models in the study of large-scale dynamic phenomena that include renewable energy sources.

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