scholarly journals ESTIMATION OF PHOTOVOLTAIC POTENTIAL AT THE URBAN LEVEL FROM 3D CITY MODEL (SOLAR CADASTER): CASE OF CASABLANCA CITY, MOROCCO

2022 ◽  
Vol XLVI-4/W3-2021 ◽  
pp. 9-16
Author(s):  
E. Achbab ◽  
R. Lambarki ◽  
H. Rhinane ◽  
D. Saifaoui
Keyword(s):  
Research Work ◽  
Geographical Location ◽  
Solar Irradiation ◽  
Surface Model ◽  
Solar Panels ◽  
Energy Potential ◽  
Photovoltaic Energy ◽  
Aerial Photogrammetry ◽  
Technological Advances ◽  
Satisfactory Precision

Abstract. Nowadays, the use of solar energy in buildings, especially photovoltaic energy, has undergone a great evolution in the world, thanks to various technological advances and to incentive programs. Related to this topic, the solar cadaster is an important interactive tool to predict the solar potential in an urban environment. The main objective of this research work is to estimate the photovoltaic energy potential of roofs based on aerial photogrammetry and GIS processing. The location chosen for the study is the Maarif district located in the city of Casablanca in order to raise awareness of the public and decision makers to this energy potential through a geoportal that will be developed for this purpose. The tool proposed in this research work makes it possible to evaluate the solar irradiation on a part of the territory of Casablanca with a sufficiently satisfactory precision and reliability, this thanks to the precise reconstruction of the territory in 3D urban model called digital surface model (DSM) at 50 cm resolution by techniques known as photogrammetry which makes it possible to carry out measurements extracted from a stereoscopic pairs, by using the parallax and the correlation between the digital images taken from various points of view. The analysis was used on the basis of specific algorithms and several factors including geographical location, shade, tilt, orientation, roof accessibility and topography which are the main factors influencing the productivity of solar panels.

Preliminary results on the determination of solar energy potential using LiDAR technology

2015 ◽  
Vol 6 (1) ◽  
pp. 11-17 ◽  
Author(s):  
G. Szabó ◽  
P. Enyedi ◽  
Gy. Szabó ◽  
I. Fazekas ◽  
T. Buday ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Energy Production ◽  
Alternative Energy ◽  
Surface Model ◽  
Solar Panels ◽  
Energy Potential ◽  
Potential Surfaces ◽  
Large Power ◽  
Automatic Data

According to the challenge of the reduction of greenhouse gases, the structure of energy production should be revised and the increase of the ratio of alternative energy sources can be a possible solution. Redistribution of the energy production to the private houses is an alternative of large power stations at least in a partial manner. Especially, the utilization of solar energy represents a real possibility to exploit the natural resources in a sustainable way. In this study we attempted to survey the roofs of the buildings with an automatic method as the potential surfaces of placing solar panels. A LiDAR survey was carried out with 12 points/m2 density as the most up-to-date method of surveys and automatic data collection techniques. Our primary goal was to extract the buildings with special regard to the roofs in a 1 km2 study area, in Debrecen. The 3D point cloud generated by the LiDAR was processed with MicroStation TerraScan software, using semi-automatic algorithms. Slopes, aspects and annual solar radiation income of roof planes were determined in ArcGIS10 environment from the digital surface model. Results showed that, generally, the outcome can be regarded as a roof cadaster of the buildings with correct geometry. Calculated solar radiation values revealed those roof planes where the investment for photovoltaic solar panels can be feasible.

Estimation of photovoltaic energy generated in urban environments, case: Medellín Metropolitan Area (MMA) (Colombia)

2021 ◽  
Author(s):  
Nathalia Correa Sánchez ◽  
Oscar José Mesa Sánchez ◽  
Carlos David Hoyos Ortíz
Keyword(s):  
Metropolitan Area ◽  
Urban Areas ◽  
Energy Demand ◽  
Energy Use ◽  
Urban Morphology ◽  
Reduction Factor ◽  
Urban Environments ◽  
Solar Panels ◽  
Energy Potential ◽  
Photovoltaic Energy

<p>This work considers photovoltaic solar energy as an alternative to promote the diversification of the energy matrix and contribute to improving access to the citizens of Medellín (MMA) Metropolitan Area,  Colombia. The objective is a more sustainable and resilient energy use.  To achieve this, we assess how much of the energy demand can be generated within the city, integrated into the urban morphology at the roofs of existing buildings. We use meteorological information and power measurements from three experimental solar panels. We analyze the photovoltaic energy potential in these Representative Urban Areas (RUA) and provide information relevant to the whole Valley's context to guide sustainable and resilient energy planning.  One particular result is about the energy reduction factor due to cloudiness, which quantifies how energy would vary under the region's cloud conditions.</p>

Model Statistika Prediksi Energi Surya Dengan Menggunakan Autoregresif Integrated Moving Average (ARIMA)

Jurnal MIPA ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 181
Author(s):  
Imriani Moroki ◽  
Alfrets Septy Wauran
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Moving Average ◽  
Arima Model ◽  
Solar Irradiation ◽  
Energy Sources ◽  
Energy Potential ◽  
Good Design ◽  
Potential Sources ◽  
The Common

Energi terbarukan adalah salah satu masalah energi paling terkenal saat ini. Ada beberapa sumber potensial energi terbarukan. Salah satu energi terbarukan yang umum dan sederhana adalah energi matahari. Masalah besar ketersediaan energi saat ini adalah terbatasnya sumber energi konvensional seperti bahan bakar. Ini semua sumber energi memiliki banyak masalah karena memiliki jumlah energi yang terbatas. Penting untuk membuat model dan analisis berdasarkan ketersediaan sumber energi. Energi matahari adalah energi terbarukan yang paling disukai di negara-negara khatulistiwa saat ini. Tergantung pada produksi energi surya di daerah tertentu untuk memiliki desain dan analisis energi matahari yang baik. Untuk memiliki analisis yang baik tentang itu, dalam makalah ini kami membuat model prediksi energi surya berdasarkan data iradiasi matahari. Kami membuat model energi surya dan angin dengan menggunakan Metode Autoregresif Integrated Moving Average (ARIMA). Model ini diimplementasikan oleh R Studio yang kuat dari statistik. Sebagai hasil akhir, kami mendapatkan model statistik solar yang dibandingkan dengan data aktualRenewable energy is one of the most fomous issues of energy today. There are some renewable energy potential sources. One of the common n simple renewable energy is solar energy. The big problem of the availability of energy today is the limeted sources of conventional enery like fuel. This all energy sources have a lot of problem because it has a limited number of energy. It is important to make a model and analysis based on the availability of the energy sources. Solar energy is the most prefered renewable energy in equator countries today. It depends on the production of solar energy in certain area to have a good design and analysis of  the solar energy. To have a good analysis of it, in this paper we make a prediction model of solar energy based on the data of solar irradiation. We make the solar and wind enery model by using Autoregresif Integrated Moving Average (ARIMA) Method. This model is implemented by R Studio that is a powerfull of statistical. As the final result, we got the statistical model of solar comparing with the actual data

Assessment of bioenergy development potential in agricultural enterprises

2020 ◽  
pp. 165-171
Author(s):  
Iryna Hryhoruk
Keyword(s):  
Renewable Energy ◽  
Large Scale ◽  
Agricultural Waste ◽  
General Structure ◽  
Geographical Location ◽  
Economic Assessment ◽  
Energy Resources ◽  
Industrial Complex ◽  
Renewable Energy Resources ◽  
Energy Potential

Exhaustion of traditional energy resources, their uneven geographical location, and catastrophic changes in the environment necessitate the transition to renewable energy resources. Moreover, Ukraine's economy is critically dependent on energy exports, and in some cases, the dependence is not only economic but also political, which in itself poses a threat to national security. One of the ways to solve this problem is the large-scale introduction and use of renewable energy resources, bioenergy in particular. The article summarizes and offers methods for assessing the energy potential of agriculture. In our country, a significant amount of biomass is produced every year, which remains unused. A significant part is disposed of due to incineration, which significantly harms the environment and does not allow earning additional funds. It is investigated that the bioenergy potential of agriculture depends on the geographical distribution and varies in each region of Ukraine. Studies have shown that as of 2019 the smallest share in the total amount of conventional fuel that can be obtained from agricultural waste and products suitable for energy production accounts for Zakarpattya region - 172.5 thousand tons. (0.5% of the total) and Chernivtsi region - 291.3 thousand tons. (0.9%). Poltava region has the greatest potential - 2652.2 thousand tons. (7.8%) and Vinnytsia - 2623.7 thousand tons. (7.7%). It should be noted that the use of the energy potential of biomass in Ukraine can be called unsatisfactory. The share of biomass in the provision of primary energy consumption is very small. For bioenergy to occupy its niche in the general structure of the agro-industrial complex, it is necessary to develop mechanisms for its stimulation. In addition, an effective strategy for the development of the bioenergy sector of agriculture is needed. The article considers the general energy potential of agriculture, its indicative structure. The analysis is also made in terms of areas. In addition, an economic assessment of the possible use of existing potential is identified.

Comparison between Seven MPPT Techniques Implemented in a Buck Converter

2019 ◽  
Vol 12 (6) ◽  
pp. 476-486
Author(s):  
Lahcen El Mentaly ◽  
Abdellah Amghar ◽  
Hassan Sahsah
Keyword(s):  
Value Added ◽  
Buck Converter ◽  
Maximum Power ◽  
Solar Irradiation ◽  
Solar Panels ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Pv Panel ◽  
Low Efficiency ◽  
Power Point

Background: The solar field on our planet is inexhaustible, which favors the use of photovoltaic electricity which generates no nuisance: no greenhouse gases, no waste. Methods: It is a high value-added energy that is produced directly at the place of consumption through photovoltaic (PV) solar panels. Notwithstanding these advantages, the maximum power depends strongly on solar irradiation and temperature, which means that a Maximum Power Point Tracking (MPPT) controller must be inserted between the PV panel and the load in order to follow the Maximum Power Point (MPP) continuously and in real time. In this work, MPP’s behavior was simulated at different temperatures and solar irradiations using seven techniques which identify the MPP by different methods. Results: The novelty of this work is that the seven MPPT methods were compared according to a very selective criterion which is the MPPT efficiency as well as a purely digital duty cycle control without using the PI controller. The simulation under the PSIM software shows that the FLC, TP, FSCC, TG, HC and IC methods have almost the same efficiency of 99%, whereas the FOCV method had a low efficiency of 96%. Conclusion: This makes it possible to conclude that the best methods are FLC, HC and IC because they use fewer sensors compared to the rest.

scholarly journals Mapping and Estimation of Monthly Global Solar Irradiation in Different Zones in Souss-Massa Area, Morocco, Using Artificial Neural Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-19 ◽  
Author(s):  
O. Nait Mensour ◽  
S. Bouaddi ◽  
B. Abnay ◽  
B. Hlimi ◽  
A. Ihlal
Keyword(s):  
Solar Energy ◽  
Solar Irradiation ◽  
Kriging Interpolation ◽  
Solar Pv ◽  
Energy Potential ◽  
Global Solar Irradiation ◽  
Interpolation Technique ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Hidden Layer

Solar radiation data play an important role in solar energy research. However, in regions where the meteorological stations providing these data are unavailable, strong mapping and estimation models are needed. For this reason, we have developed a model based on artificial neural network (ANN) with a multilayer perceptron (MLP) technique to estimate the monthly average global solar irradiation of the Souss-Massa area (located in the southwest of Morocco). In this study, we have used a large database provided by NASA geosatellite database during the period from 1996 to 2005. After testing several models, we concluded that the best model has 25 nodes in the hidden layer and results in a minimum root mean square error (RMSE) equal to 0.234. Furthermore, almost a perfect correlation coefficient R=0.988 was found between measured and estimated values. This developed model was used to map the monthly solar energy potential of the Souss-Massa area during a year as estimated by the ANN and designed with the Kriging interpolation technique. By comparing the annual average solar irradiation between three selected sites in Souss-Massa, as estimated by our model, and six European locations where large solar PV plants are deployed, it is apparent that the Souss-Massa area is blessed with higher solar potential.

scholarly journals ANÁLISE DOS PARÂMETROS PARA GERAÇÃO DE ENERGIA SOLAR FOTOVOLTAICA NO ACRE, BRASIL

2021 ◽  
Vol 7 (20) ◽  
pp. 202129
Author(s):  
Vivyane Alencar Marques Araújo do Nascimento ◽  
Taynara Bastos Trindade ◽  
Clarice Maia Carvalho
Keyword(s):  
Solar Energy ◽  
Electrical Energy ◽  
Energy Generation ◽  
Photovoltaic Cell ◽  
Solar Irradiation ◽  
Solar Panels ◽  
Cell Temperature ◽  
Photovoltaic Efficiency ◽  
Photovoltaic Solar Energy ◽  
Insolation Maximum

ANALYSIS OF PARAMETERS FOR PHOTOVOLTAIC SOLAR ENERGY GENERATION IN ACRE, BRAZILANÁLISIS DE PARÁMETROS PARA LA GENERACIÓN DE ENERGÍA SOLAR FOTOVOLTAICA EN ACRE, BRASILRESUMOEnergia solar é obtida através de placas solares fotovoltaicas com a função de captar a energia do sol e transformar em energia elétrica, aumentando a geração de energia solar nas regiões com maior captação de energia luminosa. Assim, neste artigo analisou-se os parâmetros para geração de energia solar fotovoltaica no Acre, Brasil. Coletou-se dados referentes a insolação, temperaturas máximas e mínimas, precipitação e umidade relativa no Instituto Nacional de Meteorologia, irradiação solar, no Centro de Referências para Energias Solar e Eólica Sérgio de S. Brito, regionais do Vale do Juruá e Vale do Acre, no período de 2015-2020. As análises foram quantitativas, utilizando o cálculo da média e cálculo do plano inclinado. Na comparação das regionais, o Vale do Acre apresentou melhores resultados para geração de energia solar e com um ângulo com a maior média diária anual de irradiação solar, considerando-se projetar-se células fotovoltaicas na regional. O trabalho apresenta que o Acre possui bastante insolação e irradiação solar, indicando alto potencial de geração de energia solar para as regionais do estado.Palavras-chave: Eficiência Fotovoltaica; Radiação Solar; Temperatura da Célula Fotovoltaica; Irradiação.ABSTRACTSolar energy is obtained through photovoltaic solar panels with the function of capturing the sun's energy and transforming it into electrical energy, increasing the generation of solar energy in regions with greater capture of light energy. Thus, the parameters for the generation of photovoltaic solar energy in Acre, Brazil were analyzed. Data on insolation, maximum and minimum temperatures, precipitation and relative humidity were collected at the National Institute of Meteorology, solar irradiation, at the Reference Center for Solar and Wind Energy Sérgio de S. Brito, regions of Vale do Juruá and Vale do Acre, in the period 2015-2020. Analyzes were quantitative, using mean calculation and inclined plane calculation. When comparing the regions, Vale do Acre presented better results for solar energy generation and with an angle with the highest annual daily average of solar irradiation, considering the project of photovoltaic cells in the region. The work shows that Acre has a lot of insolation and solar irradiation, indicating a high potential for generating solar energy for the regional regions of the state.Keywords: Photovoltaic Efficiency; Solar Radiation; Photovoltaic Cell Temperature; Irradiation.RESUMENLa energía solar se obtiene a través de paneles solares fotovoltaicos con la función de captar la energía del sol y transformarla en energía eléctrica, aumentando la generación de energía solar en las regiones con mayor captación de energía luminosa. Así, se analizaron los parámetros para la generación de energía solar fotovoltaica en Acre, Brasil. Los datos sobre insolación, temperaturas máximas y mínimas, precipitación y humedad relativa fueron recolectados en el Instituto Nacional de Meteorología, irradiación solar, en el Centro de Referencia de Energía Solar y Eólica Sérgio de S. Brito, regiones de Vale do Juruá y Vale do Acre, en el período 2015-2020. Los análisis fueron cuantitativos, utilizando cálculo de medias y cálculo de plano inclinado. Al comparar las regiones, Vale do Acre presentó mejores resultados para la generación de energía solar y con un ángulo con el promedio diario anual más alto de irradiación solar, considerando el diseño de células fotovoltaicas en la región. El trabajo muestra que Acre tiene mucha insolación e irradiación solar, lo que indica un alto potencial de generación de energía solar para las regiones regionales del estado.Palabras clave: Eficiencia Fotovoltaica; Radiación Solar; Temperatura de la Celda Fotovoltaica; Irradiación.

scholarly journals A Methodological Analysis Approach to Assess Solar Energy Potential at the Neighborhood Scale

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3554 ◽  
Author(s):  
Gabriele Lobaccaro ◽  
Malgorzata Maria Lisowska ◽  
Erika Saretta ◽  
Pierluigi Bonomo ◽  
Francesco Frontini
Keyword(s):  
Solar Energy ◽  
Renewable Energy Sources ◽  
Urban Morphology ◽  
Solar Irradiation ◽  
Energy Potential ◽  
Public Authorities ◽  
Local Conditions ◽  
Pv Systems ◽  
Energy Needs ◽  
Neighborhood Scale

Rapid and uncontrolled urbanization is continuously increasing buildings’ energy consumption and greenhouse gas emissions into the atmosphere. In this scenario, solar energy integrated into the built environment can play an important role in optimizing the use of renewable energy sources on urban surfaces. Preliminary solar analyses to map the solar accessibility and solar potential of building surfaces (roofs and façades) should become a common practice among urban planners, architects, and public authorities. This paper presents an approach to support urban actors to assess solar energy potential at the neighborhood scale and to address the use of solar energy by considering overshadowing effects and solar inter-building reflections in accordance with urban morphology and building characteristics. The approach starts with urban analysis and solar irradiation analysis to elaborate solar mapping of façades and roofs. Data processing allows assessment of the solar potential of the whole case study neighborhood of Sluppen in Trondheim (Norway) by localizing the most radiated parts of buildings’ surfaces. Reduction factors defined by a new method are used to estimate the final solar potential considering shadowing caused by the presence of buildings’ architectural elements (e.g., glazed surfaces, balconies, external staircases, projections) and self-shading. Finally, rough estimation of solar energy generation is assessed by providing preliminary recommendations for solar photovoltaic (PV) systems suited to local conditions. Results show that depending on urban morphology and buildings’ shapes, PV systems can cover more than 40% of the total buildings’ energy needs in Trondheim.

scholarly journals A Multicriteria Methodology to Select the Best Installation of Solar Thermal Power in a Family House

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1047 ◽  
Author(s):  
Jaroslav Košičan ◽  
Miguel Ángel Pardo ◽  
Silvia Vilčeková
Keyword(s):  
Energy Consumption ◽  
Energy Production ◽  
Thermal Power ◽  
Research Work ◽  
Hot Water ◽  
Solar Thermal ◽  
Solar Panels ◽  
Solar Thermal Power ◽  
Geographical Latitude ◽  
Family House

Solar thermal power is nowadays one of the trendiest topics in the construction industry, and it represents a valuable energy source of heating that reduces energy consumption. As solar panels produce heating during the day and consumers demand calefaction during the whole day, we use standby tanks (for domestic hot water) and buffer tanks (for heating) for storage. The latest developments improved the efficiency and useful life while reducing the volume of tanks. So, the presented research work deals with analyzing the solar thermal power in a family house. This work presents a method to create a decision support system to compare solar energy systems in houses from economical, technical, availability, and environmental concerns. The weights of the criteria selected considering the analytical hierarchy process are computed. Parameters required for energy production calculations (location, temperature, etc.) and energy consumption (inhabitants, outdoor temperature, etc.) are summarized. It can be stated that a universal best solar thermal scheme does not exist, as energy consumption depends on the other features and limits as well as energy production, geographical latitude of the location, and so forth. According to results, Case 3 (a gas boiler and a combination tank) is the best alternative for reducing the energy required, CO2 emitted, the best energy efficiency of the installation, and the lowest transmission losses. In other scenarios when the economic criteria are not so relevant, this should be the best case in the prioritization scheme.

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