Exploring Solar Energy Potential using Solar Radiation GIS Toolset - A Case of College of Natural Resources, Lobesa, Punakha (original) (raw)
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In recent years, electricity generation from renewable sources has gained popularity. In particular, electricity generation based on solar energy is expected to be the most suitable solution to meet the energy needs of urban environments in the near future. While providing renewable-based energy to urban areas poses a major challenge, rooftop Photovoltaic (PV) systems that harness solar energy could pave the way to a more sustainable environment for cities. From an environmental perspective, every MWh of electricity generated from renewable sources reduces the introduction of large amounts of greenhouse gases into the atmosphere, thereby promoting a healthy environment and reducing global warming. Small-scale building-connected solar energy systems contribute significantly to the rapid growth of electricity generation potential from solar energy globally. This study aims to investigate the future of PV systems placed on roofs in the central housing sector of Kütahya, focusing especially on building roof areas. In this context, average solar radiation maps are provided to estimate the electricity generation potential of rooftop PV systems and evaluate the production potential. In addition, Geographic Information System (GIS) was used to evaluate the total roof area and solar potential of residential buildings in Kütahya province through spatial analysis. Finally, performance simulations were conducted, allowing solar potential prediction from annual solar irradiance, considering local building construction and PV design requirements. As a result of the analysis, it was determined that a total of 1979.7 MWh of electricity could be produced annually from a total roof area of 35121 m2 from a group of faculty buildings in the university campus located in the Kirazpınar neighborhood of Kütahya center, and a recommendation was made to form a basis for future studies on the energy efficiency of different PV solar cells.
Pakistan has a severe electricity load shading problem. Government is trying to find out all ways for electricity generation. Alternative energy board is working to find out the energy potential using all alternative resources. Board has an objective to produce 9700 MW by 2030 to overcome load shading problem. A research was designed to find out the solar energy potential as an alternative source of energy from rooftops of residential areas in district Lahore. Punjab Governments servants housing society Lahore is selected. The society has minimum slope, aspect and shadows effects on the roofs. Also houses in PGSHS have same house structures and good town plan. A few portions of roofs are digitized to measure the available rooftop area for Photovoltaic panel's installation. GIS models are used to find out solar energy potential monthly as well as yearly for the year of 2014. The potential estimated is 39,613,072 kWh/year. The monthly total energy consumption of the society is 347,140 kWh which is only 11% of energy production from PV solar panels. As the estimated energy is 9 times than the energy demand of the society, extra energy can be used in local/national electricity transmission grid. Solar PV energy would be supplement to compensate energy shortfall in local area. Keywords Photovoltaic, Alternative Energy, Pakistan, CO 2 Emission, Rooftop M. Luqman et al. 129
ASSESMENT OF SOLAR POTENTIAL ROOFTOPS USING GIS AND REMOTE SENSING TECHNIQUES
Solar energy enables to replace conventional or non-renewable energy sources. This scenario has been widely implemented all over the world these days. Generally solar harvesting plants are constructed by demolishing vast vegetation land parcels or forest covers. But utilizing rooftops is known as feasible and trending one. But before installing solar panels over rooftops, assessing where solar panels should be placed is an important factor. This can be significantly benefited panel performance. Currently, one of the most challenging problem which makes notable impact on efficiency of producing solar energy is casting shadow by other objects such as buildings besides to respective rooftops. GIS and Remote Sensing techniques were addressed in great level to figure out optimum solution by excluding shadow casted sectors. Study consists of two phases. First one is modeling 3D buildings and simulate shadow over model. And following one is spatial analysis over temporal shadow simulation models with solar data. 3D modelling with SketchUp and the integration of geospatial techniques (spatial analysis) were pillars of present work processes. Especially, SketchUp was well customized and resourceful for most required factors of study such accurate sun movement, position and angle. Frequent weather imbalance of day and seasonal changes over year were considered by analyzing annual solar data (i.e. Global Horizontal Insolation). By hourly casted shadow raster models of a day, were got into spatial analysis (i.e. weighted overlay) with ArcGIS desktop. Resultant of process was rooftop solar potential map. By assessing this, users would be able to find out right solar potential spots over rooftops.
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The development of Geographic Information Systems (GIS) is able to create future value in various sectors and become a solution to the problem of limitations and disparity of electricity resources in Indonesia. This condition encourages GIS to be an analytical solution to the problem of electricity resources, which is by utilizing solar radiation as a source of renewable energy. This study aimed to optimize GIS in the use of solar radiation on the slope of building roofs which affects the estimated number and average electric power. This study used the mixed method. Research data includes aerial photos, which were analyzed digitally using the area of solar radiation and the slope angle of building roofs so as to produce a spatial analysis of the utilization of solar panels on Derawan Island. The data analysis showed that buildings in Derawan Island can produce 17,355.254 mWh per year with each building producing an average of 28,686 kWh annually. The result of the study is expected to encourage the realization of the use of renewable energy as part of the SDGs by utilizing solar panels as a source of electricity, replacing fossil-derived energy. This study is also expected to be applied in other small inhabited islands to support the sustainability of electricity use and increase the use of renewable energy.
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Considering the environmental impacts of fossil fuel usage, the possibilities of oil depletion and world development needs, many efforts investigate the possibilities and feasibilities of replacement the current traditional fuel resources by clean energy resources. The geographic and climatic settings of the Kingdom of Saudi Arabia (KSA) represent an advantage in the field of solar energy generation. The issues of solar energy discussed in the terms of governmental and national actions but not in the domestic levels for the individual and family usage. The objective of this study is to investigate the feasibility of rooftops for solar energy generation using geographic information system. Three dimensions model for an urban area in Dammam Metropolitan was built, solar energy income calculate for rooftops based on the location and elevation for every roof considering the different other possible usage for the rooftops. The model developed in this study to evaluate the possible solar ...
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This paper describes a method for analyse the spatial distribution of solar energy potential based on calculated solar irradiation with use of GIS (Geographical Information System). Program GIS GRASS gives opportunity to create spatial distribution of solar radiation which is taking into account such important elements like: terrain, atmosphere, pollutants, water and aerosol in atmosphere, clouds. The use of GIS GRASS module-named r.sun gives opportunity to generate spatial distribution of solar radiation on Lower Silesia (south-west part of Poland). In this work the analyse of solar potential to obtain hot water in the individual household were done. This analyse was based on the amount of total solar radiation monthly sums generated by r.sun module. Spatial distribution of solar potential was used to classify the Lower Silesia region in terms of work efficiency solar installations. It is very usefully because it gives people information about the date of the return of the funds invested in the purchase of the solar collectors.
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As conventional non-renewable energy is becoming increasingly scarce, the development of renewable energies, such as solar energy, has become a major priority in today's world. In this study, it has developed an approach to simulate solar radiation on rooftops of Paschimanchal Campus and estimate the solar photovoltaic (PV) potential using Photogrammetry and GIS techniques. The object-based method was used to extract and classify buildings using very high-resolution data: orthophoto, the UAV-derived Digital Surface Model, and Digital Terrain Model raster layers. For more accurate estimation of solar panel installations, the evaluation of solar radiation is essential and the amount of solar radiation that was converted into solar PV potential depends upon the technical characteristics of the panel (technology used: monocrystalline or polycrystalline). Subsequently, the evaluated cost of solar panel installation was compared to the cost of grid-based electricity of the study area....
Analysis of Solar Potential of Roofs Based on Digital Terrain Model
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
One of the basic goals of the smart city concept is to create a high-quality environment that is long sustainable and economically justifiable. The priority and concrete goal today is to promote and provide sustainable sources of energy (SSE). Croatia is rich with sun energy and as one of the sunniest European countries, it has a huge insufficiently used solar potential at its disposal. The paper describes the procedure of analysing the solar potential of a pilot area Sveti Križ Začretje by means of digital surface model (DSM) and based on the data available in the Meteorological and Hydrological Service of the Republic of Croatia. Although a more detailed analysis would require some additional factors, it is clear that the installation of 19,6m2 of solar panels in each household could cover annual requirements of the household in the analysed area, the locality Sveti Križ Začretje.
Solar Energy Modeling and Mapping for the Sustainable Campus at Monash University
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An increase in energy demands and positive public acceptance of clean energy resources have contributed to a growing need for using solar energy in cities. Solar photovoltaic (PV) deployment relies on suitable locations with high solar energy potential. In the urban context, building rooftops are often considered one of the most available locations for solar PV installation. This work demonstrates a new geospatial-method for spatiotemporal modeling and mapping solar energy potential based on a highresolution (0.2 m) digital surface model (DSM) and solar radiation dataset. The proposed method identifies building rooftops with a high solar energy potential by using the Solar Analyst (SA) model. The results show that 93.5% of the rooftop area has high solar energy potential in the study area. The annual averaged sum of solar irradiation values is estimated to be 1.36 MWh/m 2. In addition, the study showed that sloped rooftops facing to the north received up to 30% more incoming solar radiation than other rooftops with different geometry and orientation. The results are validated using recorded energy output data from four existing solar PV systems in the study area. The return on the initial investment of PV systems installation is estimated to be from four to five years.
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Renewable energy sources are at the forefront of political discussions around the world because of the scarcity of fossil fuels and climate change caused by the accumulation of greenhouse gases. By 2030, Morocco will cover 52% of these energy needs through renewable energies, in order to preserve the environment (COP 22). This paper aims to estimate the potential of photovoltaic solar energy from flat roofs in the city of Ben Guerir, Morocco using remote sensing and GIS data. To achieve this goal, vector orthophoto resulting from the photogrammetric restitution acquired in 2015 were used to generate a 3D model (DSM). The annual solar irradiation is calculated by the analyser of the solar tool. Each roof is calculated based on algorithms for the most common solar panel technologies (mono-si and poly-si). The applicability of this methodology has been demonstrated in the urban area of Benguerir, Morocco, and can be widespread in any other region of the world. The results obtained for a total roofing surface of 135Ha, i.e. more than 345Gwh of electricity annually generate. For an average roof of 60 m² that could supply 5 to 6 households; A planned investment between 118,218 and 167,296 DH, and an annual maintenance charge of 2%. This study may be an initial assessment of solar potential in the city, which can be used to support the management decision regarding investment in the urban solar system.