scholarly journals Optimal site selection for sitting a solar park using multi-criteria decision analysis and geographical information systems

2016 ◽  
Vol 5 (2) ◽  
pp. 321-332 ◽  
Author(s):  
Andreas Georgiou ◽  
Dimitrios Skarlatos
Keyword(s):  
Power Plants ◽  
Solar Power ◽  
Geographical Information ◽  
Optimal Placement ◽  
Expert Advice ◽  
Equal Weight ◽  
Analysis Tool ◽  
Study Region ◽  
Power Sources ◽  
Weighting Schemes

Abstract. Among the renewable power sources, solar power is rapidly becoming popular because it is inexhaustible, clean, and dependable. It has also become more efficient since the power conversion efficiency of photovoltaic solar cells has increased. Following these trends, solar power will become more affordable in years to come and considerable investments are to be expected. Despite the size of solar plants, the sitting procedure is a crucial factor for their efficiency and financial viability. Many aspects influence such a decision: legal, environmental, technical, and financial to name a few. This paper describes a general integrated framework to evaluate land suitability for the optimal placement of photovoltaic solar power plants, which is based on a combination of a geographic information system (GIS), remote sensing techniques, and multi-criteria decision-making methods. An application of the proposed framework for the Limassol district in Cyprus is further illustrated. The combination of a GIS and multi-criteria methods produces an excellent analysis tool that creates an extensive database of spatial and non-spatial data, which will be used to simplify problems as well as solve and promote the use of multiple criteria. A set of environmental, economic, social, and technical constrains, based on recent Cypriot legislation, European's Union policies, and expert advice, identifies the potential sites for solar park installation. The pairwise comparison method in the context of the analytic hierarchy process (AHP) is applied to estimate the criteria weights in order to establish their relative importance in site evaluation. In addition, four different methods to combine information layers and check their sensitivity were used. The first considered all the criteria as being equally important and assigned them equal weight, whereas the others grouped the criteria and graded them according to their objective perceived importance. The overall suitability of the study region for sitting solar parks is appraised through the summation rule. Strict application of the framework depicts 3.0 % of the study region scoring a best-suitability index for solar resource exploitation, hence minimizing the risk in a potential investment. However, using different weighting schemes for criteria, suitable areas may reach up to 83 % of the study region. The suggested methodological framework applied can be easily utilized by potential investors and renewable energy developers, through a front end web-based application with proper GUI for personalized weighting schemes.

scholarly journals Optimal Site Selection for Sittinga Solar Park using Multi-Criteria Decision Analysis and Geographical Information Systems (GIS)

2016 ◽  
Author(s):  
Andreas Georgiou ◽  
Dimitrios Skarlatos
Keyword(s):  
Spatial Data ◽  
Geographical Information Systems ◽  
Power Plants ◽  
Solar Power ◽  
Geographical Information ◽  
Optimal Placement ◽  
Equal Weight ◽  
Analysis Tool ◽  
Study Region ◽  
Weighting Schemes

Abstract. Among the renewable powers sources, solar is rapidly becoming popular being inexhaustible, clean, and dependable. It is also becoming more efficient since the photovoltaic solar cells' power conversion efficiency is rising. Following these trends, solar power will become more affordable in years to come and considerable investments are to be expected. Despite the size of solar plants, the sitting procedure is a crucial factor for their efficiency and financial viability. Many aspects rule such decision; legal, environmental, technical, and financial to name some. This paper describes a general integrated framework to evaluate land suitability for the optimal placement of photovoltaic solar power plants, which is based on a combination of a Geographic Information System (GIS), remote sensing techniques and multi-criteria decision making methods. An application of the proposed framework for Limassol District in Cyprus is further illustrated. The combination of GIS and multi-criteria methods, consist an excellent analysis tool that creates an extensive database of spatial and non spatial data that will be used to simplify problems, to solve and promote the use of multiple criteria. A set of environmental, economic, social and technical constrains based on recent Cypriot legislation, European's Union policies and experts' advices, identifies the potential sites for solar park installation. The pair-wise comparison method in the context of the analytic hierarchy process (AHP) is applied to estimate the criteria weights in order to establish their relative importance in site evaluation. In addition, four different methods to combine information layers and check their sensitivity were used. The first considered all the criteria as being equally important and assign them equal weight, while the others grouped the criteria and graded them according to their objective perceived importance. The overall suitability of the study region for sitting solar park is appraised through the summation rule. Strict application of the framework depicts 3.0 % of the study region scoring best suitability index for solar resource exploitation, hence minimizing risk of a potential investment. However, using different weighting schemes for criteria, suitable areas may reach up to 83 % of the study region. The suggested methodological framework applied can be easily utilized by potential investors and renewable energy developers, through a front end web based application with proper GUI for personalized weighting schemes.

scholarly journals Actual Measurement and Evaluation of the Balance between Electricity Supply and Demand in Waste-Treatment Facilities and Development of Adjustment Methods

2021 ◽  
Vol 11 (22) ◽  
pp. 10747
Author(s):  
Daiki Yoshidome ◽  
Ryo Kikuchi ◽  
Yuki Okanoya ◽  
Andante Hadi Pandyaswargo ◽  
Hiroshi Onoda
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Power Plants ◽  
Solar Power ◽  
Supply And Demand ◽  
Actual Measurement ◽  
Power Sources ◽  
Power Load

In Japan, breakthroughs to improve the share of renewable energy in the energy mix have become an urgent issue. However, the problem could not be solved by simply adding more power plants for various technical reasons, such as the unsuitability of using renewable energy as baseloads due to its intermittency. Furthermore, establishing the required cooperative systems for regionally distributed power adjustment is also tricky. Based on these backgrounds, this paper constructs an operation plan that minimizes CO2 emissions by correcting the generation and load patterns of the renewable energy of solar power, utilizing power generation from waste as a substitute for baseload power, and estimating the power demand of each facility. The result shows that by adjusting the operation plans, the model can reduce CO2 emission by 20.95 and 8.30% in weeks with high and low solar power generation surpluses, respectively. Furthermore, these results show that it is possible to reduce CO2 emissions in regions that have power sources with low CO2 emission coefficients by forecasting the amount of power generation and power load in the region and appropriately planning the operation in advance.

scholarly journals Quantifying the global solar radiation received in Pietermaritzburg, KwaZulu-Natal to motivate the consumption of solar technologies

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 786-794
Author(s):  
Tamara Rosemary Govindasamy ◽  
Naven Chetty
Keyword(s):  
South Africa ◽  
Solar Radiation ◽  
Power Plants ◽  
Large Scale ◽  
Solar Power ◽  
Global Solar Radiation ◽  
Optimal Placement ◽  
Full Potential ◽  
Forecasting Models ◽  
Kwazulu Natal

Abstract In South Africa, power outages and scheduled load shedding are common practices in a bid to safeguard power resources. With the increase in cost of conventional energy sources, and the depletion of fossil fuels, attempts to use renewable resources to their full potential are underway. South Africa and in particular Pietermaritzburg receives sunshine throughout the year, making it suitable for harnessing solar power. In this work we estimate the amount of Global Solar Radiation (GSR) received in Pietermaritzburg which is the capital of the KwaZulu-Natal province. An air temperature model (Hargreaves-Samani) is used to approximate the GSR received in Bisley in comparison to measured data obtained from the ARC, for a period of one calendar year (July 2014 – June 2015). We proceed to apply the Angstrom-Prescott model to evaluate the competence of the initial prediction method. The primary aim of this study is to validate the efficiency and accuracy of the above-mentioned forecasting models, for areas within close proximity. Our results compare fairly well with the observed data provided by the ARC. Both models prove to sufficiently estimate the amount of GSR incident in Bisley. The deviations from the actual measured values suggest that a model which incorporates both variables may improve the accuracy of GSR estimations. The use of comprehensive prediction and forecasting models will allow for optimal placement of solar technologies for the harnessing of GSR within Pietermaritzburg. Though Pietermaritzburg may not be suitable for large scale solar power plants, the employment of solar panels in both industrial and residential areas will contribute greatly to a decrease in demand of grid electricity.

scholarly journals Technical and economic feasibility analysis of solar power plant design with off grid system for remote area MSME in Semarang City

2021 ◽  
Vol 896 (1) ◽  
pp. 012007
Author(s):  
J Windarta ◽  
S Handoko ◽  
T Sukmadi ◽  
K N Irfani ◽  
S M Masfuha ◽  
...  
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Solar Power ◽  
Electrical Energy ◽  
Economic Feasibility ◽  
Small Scale ◽  
Solar Power Plant ◽  
Plant Design ◽  
Power Sources ◽  
Investment Value

Abstract The distribution of electricity from State Electricity Enterprise does not necessarily reach remote areas, so these areas require alternative sources of electricity, such as solar power plants. This study aims to design and analyze the potential of small-scale off-grid PV in terms of engineering and economics. The research method has used a simulation on PVSyst software with four components, namely solar panels and batteries. The research results were obtained based on four variations made: a 700Wp panel, a 24V 150Ah battery, and an 800W inverter. The design will produce electrical energy of 2 kWh/kWp/day with a total investment value of IDR 54,268,068 for a project period of 24 years. Compared to using a one kVA generator, the investment value was approximately IDR 208,575,063 for a 24-year project. Compared to batteries with the same specifications using a State Electricity Enterprise electricity charging source, the investment value for a 24-year project was IDR 81,036,162. NPV values in all variations obtained < 0, and PBP > the system project period. Thus, this system was considered not economically feasible and did not provide profit. Still, the off-grid solar power plant option was the most profitable than generators or battery power sources with State Electricity Enterprise charging.

scholarly journals Steady State Analysis and Impact of Benban Solar Park on The Egyptian Transmission System 9

2021 ◽  
Vol 10 (2) ◽  
pp. 928-940
Keyword(s):  
Power System ◽  
Power Plants ◽  
Solar Power ◽  
Thermal Power ◽  
Transmission System ◽  
Combined Cycle ◽  
Operating Conditions ◽  
Power Sources ◽  
Renewable Power ◽  
Power Stations

Egypt is progressing from a power system with old traditional thermal power stations to a cutting-edge power system with a profoundly productive combined cycle power plants (Siemens 14.4 GW power plants) and an expanding portion of sustainable power sources. By 2022, Egypt intends to produce 20 % of its power from renewables [1]. Benban Solar Park venture is considered as the world's largest solar power plant, with total capacity of about 1.8 GW. The large renewable power stations, especially the solar power plants, have a significant effect on power systems stability due to rapid and large fluctuations in power generation caused by various factors such as the intermittency of solar irradiance, climate change and tripping out of power electronic based converters connected to the system. This paper presents the specialized technical details of the assessment and results to ensure that the Egyptian Transmission System (ETS) is capable to evacuate the renewable power in safe manner under various operating conditions

scholarly journals Design of solar power plants with hybrid systems

2021 ◽  
Vol 1125 (1) ◽  
pp. 012074
Author(s):  
J Koko ◽  
A Riza ◽  
U K Mohamad Khadik
Keyword(s):  
Hybrid Systems ◽  
Power Plants ◽  
Solar Power ◽  
Solar Power Plants

scholarly journals Weather-Driven Scenario Analysis for Decommissioning Coal Power Plants in High PV Penetration Grids

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2389
Author(s):  
Samuel Matthew G. Dumlao ◽  
Keiichi N. Ishihara
Keyword(s):  
Solar Energy ◽  
Scenario Analysis ◽  
Power Plants ◽  
Solar Power ◽  
Flow Analysis ◽  
Policy Decision ◽  
Hourly Temperature ◽  
Coal Power Plants ◽  
Coal Power ◽  
Pv Penetration

Despite coal being one of the major contributors of CO2, it remains a cheap and stable source of electricity. However, several countries have turned to solar energy in their goal to “green” their energy generation. Solar energy has the potential to displace coal with support from natural gas. In this study, an hourly power flow analysis was conducted to understand the potential, limitations, and implications of using solar energy as a driver for decommissioning coal power plants. To ensure the results’ robustness, the study presents a straightforward weather-driven scenario analysis that utilizes historical weather and electricity demand to generate representative scenarios. This approach was tested in Japan’s southernmost region, since it represents a regional grid with high PV penetration and a fleet of coal plants older than 40 years. The results revealed that solar power could decommission 3.5 GW of the 7 GW coal capacity in Kyushu. It was discovered that beyond 12 GW, solar power could not reduce the minimum coal capacity, but it could still reduce coal generation. By increasing the solar capacity from 10 GW to 20 GW and the LNG quota from 10 TWh to 28 TWh, solar and LNG electricty generation could reduce the emissions by 37%, but the cost will increase by 5.6%. Results also show various ways to reduce emissions, making the balance between cost and CO2 a policy decision. The results emphasized that investing in solar power alone will not be enough, and another source of energy is necessary, especially for summer and winter. The weather-driven approach highlighted the importance of weather in the analysis, as it affected the results to varying degrees. The approach, with minor changes, could easily be replicated in other nations or regions provided that historical hourly temperature, irradiance, and demand data are available.

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