https://engineeringjournals.stmjournals.in/index.php/JoEECC/issue/feedJournal of Energy Environment and Carbon Credits2024-03-13T04:15:43+00:00Tanvi SinghElectronics.editor@celnet.inOpen Journal Systems<p align="center"><strong>Journal of Energy, Environment & Carbon Credits (JoEECC)</strong></p><p align="center"><strong>eISSN: 2249-8621</strong></p><p align="center">Click <a href="/index.php/JoEECC/about/editorialTeam">here</a> for complete Editorial Board</p><p align="center"><strong>Scientific Journal Impact Factor (SJIF):</strong><strong> 6.473</strong></p><p><strong>Journal of Energy, Environment & Carbon Credits (JoEECC)</strong> is an e Journal focusing on the publication of on going research & reviews in the field of Energy, Environment and Carbon Credits (carbon emissions).</p><p><strong>Journal DOI Number: 10.37591/JOEECC</strong></p><p><strong>Focus and Scope Covers:</strong></p><ul><li>Energy and environmental Issues</li><li>Energy planning and Energy policy</li><li>Energy Management</li><li>Environmental Engineering</li><li>Greenhouse Gases</li><li>Emission trading</li><li>Pollution control & Management of Natural Resource</li><li>Climate change skepticism</li></ul><p>All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.</p><p><strong>Readership:</strong> Graduate, Postgraduate, Research Scholar, Faculties, Institutions.<strong></strong></p><p><strong>Indexing:</strong> The Journal is index in Journal TOC, Google Scholar, Crossref.</p><p><strong>Submission of Paper: </strong></p><p>All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.</p><p>Manuscripts are invited from academicians, students, research scholars and faculties for publication consideration.Papers are accepted for editorial consideration through email <strong>electronics.editor@celnet.in</strong></p><p><strong>Subject:</strong> Energy</p><p><strong>Plagiarism:</strong> All the articles will be check through Plagiarism Software before publication. </p><p><strong>Abbreviation</strong>: <strong>JoEECC</strong></p><p><strong>Frequency:</strong> Three issues per year</p><p><a title="EDITORIAL BOARD" href="/index.php/JoEECC/about/editorialTeam"><strong>EDITORIAL BOARD</strong></a><strong> </strong></p><p><a href="http://stmjournals.com/pdf/EditorsGuidelines.pdf"><strong>Peer Reviewed Policy</strong></a><strong></strong></p><p><a href="http://stmjournals.com/pdf/Author-Guidelines-stmjournals.pdf"><strong>Instructions to Authors</strong></a><strong> </strong></p>https://engineeringjournals.stmjournals.in/index.php/JoEECC/article/view/7709A GEO-STATISTICAL MODEL FOR DOWNSCALING SOLAR IRRADIATION DATA: A CASE OF ODISHA2024-03-13T04:15:43+00:00Dibya Jyoti Mohantyjajnasenirout@gmail.comDr. Jajnaseni Routjajnasenirout@gmail.com<p>Most of the environ-climatic issues are caused by the over-burning of fossil fuels such as coal and petroleum. Our over-dependency on non-renewable resources has led us to over-exploitation of fossil Fuels. Sustainable development has become one of the causes of the growing demand for clean energy. With the current development of new technology, the efficiency of solar panels has increased severalfold. So, identifying the energy resources properly is the most immediate need and geospatial technology provides the proper medium for it. In this study, a genuine effort has been made to devise a very simple but effective high-resolution solar energy downscaling model using satellite imagery and GIS technology. The model downscales the low-resolution Solar Irradiation satellite product(4km) to the resolution of the DEM(50m), by using the basic principles of Sunlight interaction with the Slope and Aspect of the ground. The downscaling process involves the use of a simple geostatistical approach where the model is calibrated by building a relationship between solar radiation and slope/aspect of physiography. The model uses various free satellite datasets and previous research reports to calculate the Global solar irradiation. The model outputs can be used for various studies related to renewable energy and site selection analysis. The solar model is highly valuable for the Islands of the world as it provides the output with high cell resolution Odisha, one of the 28 states of India, has been taken as a case study to run the model.</p>2024-03-13T04:15:03+00:00Copyright (c) 2024 Journal of Energy Environment and Carbon Creditshttps://engineeringjournals.stmjournals.in/index.php/JoEECC/article/view/7519Analysis and Evaluation of the Electric Vehicles Carbon Footprint: Application to Environmental Urban Areas2024-02-21T06:13:46+00:00Carlos Armenta-Deucardeu@fis.ucm.esLucía Carmonalcarmo03@ucm.esCristina Rincóncrrincon@ucm.es<p><em>This paper analyzes and evaluates the carbon footprint of electric vehicles, Hybrid Electric Vehicle (HEV), Plug-in Hybrid Vehicle (PHEV), and Electric Vehicle (EV). A complete survey of the transformation process of fossil fuels like petrol, gas, or carbon into electricity for the batteries of electric vehicles represents the goal of this work, following the well-known methodology “from well to wheel”. A comparative analysis of urban cars powered by internal combustion engines (ICE) and electric vehicles leads to determining the global emission level of every vehicle for specific urban routes. This paper provides a complete panorama of the carbon footprint, considering all the steps involved in vehicle powering. The analysis covers the different driving patterns applied to standard daily routes. As a result of the analysis, practical recommendations addressed to minimize Green House Gas Emissions (GHG emissions) in urban areas and to improve the air quality in the city environment. The methodological process uses a simulation based on specifically developed algorithms for the study. The simulation runs on urban and general scenarios, considering the GHG emissions due to only urban transportation and the global situation where GHG emissions to generate electricity apply. The comparative analysis of the two scenarios leads to somewhat astonishing conclusions in specific conditions, vehicles powered by ICE pollute less than electric vehicles in urban traffic mode. On the other hand, the study concludes that considering the global scenario, electric vehicles improve air quality because of lower pollution levels. The results of the present study may help politicians, urban designers, and city traffic planners to adopt adequate decisions to reduce GHG levels in urban areas and optimize vehicle use.</em></p>2024-02-21T06:10:23+00:00Copyright (c) 2024 Journal of Energy Environment and Carbon Creditshttps://engineeringjournals.stmjournals.in/index.php/JoEECC/article/view/7677IoT in Agriculture: A Systematic Review of Smart Farming Solutions and Innovations2024-02-21T06:13:46+00:00Pritam Mondalmondalrumki02@gmail.comOmprakash Rajankarmondalrumki02@gmail.comSatya Rajputmondalrumki02@gmail.com<p class="Abstract"><em><span>This paper is based on a project titled “IoT-based smart farming. It discusses the utilization of the power of contemporary technology like sensors and cloud computing. IoT-based smart farming is revolutionizing traditional agricultural practices. This project also enables farmers to manage their farms remotely. The primary goal is to support an existing farmer and a new farmer who wants to start farming as their side income source by remote farming. Farmers can monitor numerous environmental elements including temperature, humidity, soil moisture levels, and tank water levels in real time with the use of IoT devices. This whole project aims to automate the farming processes. It consists of irrigation systems, surveillance robots, and solar fencing. They can also control the fertilization process and pest control remotely. They can monitor their crops using a robot, they can get live video footage on their device. This will help the farmer maximize agricultural yield, lower waste, and boost profitability. IoT-based smart farming systems may also be remotely accessed and managed via smartphones and other connected devices, giving farmers the flexibility to manage their operations whenever and wherever.</span></em><em></em></p>2024-02-21T05:18:41+00:00Copyright (c) 2024 Journal of Energy Environment and Carbon Creditshttps://engineeringjournals.stmjournals.in/index.php/JoEECC/article/view/7624Use of Advanced (i.e., Membrane) Technology for the Wastewater Treatment of Coke Ovens2024-02-01T11:37:25+00:00Vagish Mmr.vagish@rediffmail.comK. L. Shivabasappamr.vagish@rediffmail.com<p><em>Coke plants produce gas, and coke for metallurgical purposes and also supply the raw materials for the manufacture of dyes, drugs, and high explosives. Naturally found coal is converted into coke in coke ovens. A large quantity of water is used for quenching hot coke and for washing gas. After quenching the wastewater contains high-suspended solids, high biochemical oxygen demand (BOD) (600–1300 mg/L), chemical oxygen demand (COD) (1500–3000mg/L), phenols(500–650 mg/L), ammonia(150–250 mg/L), cyanide(5–10 mg/L), suspended solids(100–350 mg/L)and other toxic substances, which cause serious water pollution. So these effluents are treated from biological oxidation and de-phenolisation plants and may be recycled and again used for quenching hot coke. However, because of upcoming projects like coke dry quenching (CDQ), where the treated water cannot be used for quenching, it has to be discharged to environmental bodies. Secondary treated wastewater from coke ovens contains very low organics but high conductivity (2700–3000 µs/cm), which is attributed to the high concentration of many dissolved monovalent and divalent ions. Since they cannot be removed by conventional treatment methods, a commercial ultrafiltration (UF) and reverse osmosis (RO) membrane can be used for coke oven wastewater reuse and discharge. By using membrane technology and biological treatment the maximum treatment of waste water can be achieved. This paper presents the membrane technology used in wastewater reclaimed characteristics and some results of reduction in various wastewater parameters.</em></p>2024-02-01T11:36:49+00:00Copyright (c) 2024 Journal of Energy Environment and Carbon Creditshttps://engineeringjournals.stmjournals.in/index.php/JoEECC/article/view/7623Statistical Analysis of Air Pollution and Health: Application to Indian Data2024-02-01T11:37:25+00:00M. N. Megerimegeri_mn@rediffmail.comPrakash Kengnalmegeri_mn@rediffmail.com<p><em>Rapid and unplanned urbanization and industrialization have resulted in the distortion of India’s air quality and also have created opportunities as well as problems. The problem of Air pollution is very severe in a majority of Indian cities. In the present study, the level of Air pollution concerning urban and vehicular population is studied. The data collected for the study is from various census reports, Central Pollution Control Boards indiastat.com website, etc. The tools used for the study are Karl Pearson’s Coefficient of Correlation and Principal Component Analysis. The result of the study reveals that the urban population and vehicular population were strongly positively related. The relation between Whooping cough cases and Air pollution parameters in India is also strongly positive. For metropolitan cities of India, three important pollution indicators are identified with the help of Principal Component Analysis viz. PM in Delhi, NO<sub>2</sub> in Mumbai and Kolkata. These three components are significant at a 1% level of significance.</em></p>2024-02-01T11:07:39+00:00Copyright (c) 2024 Journal of Energy Environment and Carbon Creditshttps://engineeringjournals.stmjournals.in/index.php/JoEECC/article/view/7620Scaling Cost Model for the Economics of Concentrated Solar Power Plants2024-02-01T11:37:24+00:00A. J. Koliosa.kolios@cranfield.ac.ukS. Paganinia.kolios@cranfield.ac.ukS. Proiaa.kolios@cranfield.ac.ukJ. Cossarda.kolios@cranfield.ac.ukM. Fahrana.kolios@cranfield.ac.ukM. Alsuwahria.kolios@cranfield.ac.uk<p><em>Concentrated Solar Power (CSP) is a renewable energy technology that can provide clean and reliable energy to regions with adequate environmental resources. Especially for the regions around the Mediterranean Sea, where solar radiation is significant, this technology seems to have great potential to meet the medium and long-term targets for emission-free energy production, once cost-related issues have been resolved. Factors such as the capacity of the plant, the efficiency of the thermodynamic cycle and individual components as well as the environmental conditions of the deployment area, all have a significant effect on the cost of energy production. This paper will discuss those issues and develop a cost scaling model that will provide the cost of unit energy production for different output capacities of a potential plant.</em></p>2024-02-01T10:34:53+00:00Copyright (c) 2024 Journal of Energy Environment and Carbon Credits