Analysis of Software Tools for Renewable Energy Systems

Abhishek, K Srivastava; Kumar, M.K.V. Kiran; Ali, Rizwan; Rao, Manjunatha; Reddy, Shekar; Kiran, Busayavalasa; Neelamegam, P.

doi:10.1109/iccpeic.2018.8525160

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…It provides a comprehensive financial and technical analysis of HRES. 93 It is a simulation and optimization tool, which has been used for an optimal solution for several MG topologies. 52 The HOMER determines each component's optimum sizing, which is integrated into the hybrid MG system and provides detailed information about energy sources.…”

Section: Homer Promentioning

confidence: 99%

“…It can solve complex problems quickly using a genetic algorithm (GA). 93 IHOGA is an upgraded version, which comprises sensitivity analysis and a database of many components. 94 The single and multi-objective problems and control strategies can be solved using IHOGA software.…”

Section: Hogamentioning

confidence: 99%

“…It also estimates GHG emissions for MG projects. 93,94 The software has been recommended to forecast meteorological data and collection of load profiles for remote residential MGs. 37 The software used for MG optimization and evaluation has been further analysed and compared through various features as elaborated by Table 3…”

Section: Ret Screenmentioning

confidence: 99%

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Microgrids: A review on optimal hybrid technologies, configurations, and applications

Shaikh

Memon

et al. 2021

Int J Energy Res

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This study aims to provide a comprehensive review about the configurations, operation, and integration of multiple energy sources for microgrid (MG) system. The applications of renewable and non-renewable energy sources have been discussed and analysed. Similarly, the several control strategies, protection schemes, and communication networks used for MG have been defined to provide a unique and distinct perspective for an optimal and real-time project. During the review analysis, different used software tools and techniques were observed and applied broadly. However, the most frequently used software and technique are hybrid optimization model for electric renewables (HOMER) Pro and particle swarm optimization algorithm. Additionally, the total global installed capacity for renewable sources is enhanced up to 2588 GW, including 627 GW of PV source, along with the global investment of USD 316.7 Billion on clean energy sources. Furthermore, the least levelized cost of energy for on-grid and off-grid hybrid systems using HOMER Pro was found as $0.072 and $0.145/kWh, respectively. Finally, the work has provided thorough study and future directions about MGs to assist engineers and researchers for their upcoming prospects in the field of renewable energy.

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Section: Homer Promentioning

confidence: 99%

Section: Hogamentioning

confidence: 99%

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Microgrids: A review on optimal hybrid technologies, configurations, and applications

Shaikh

Memon

et al. 2021

Int J Energy Res

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“…No [74] To overcome the instability/intermittence of solar and wind resources, hybrid energy systems incorporating two or more energy units came into existence for supplying electrical energy. Because these systems include multiple generation units, their techno-economic analysis is complex and needs software tools to be analyzed in depth [79][80][81]. Conducting class projects on hybrid systems analysis would be beneficial to enhance engineering students' RE learning at universities.…”

Section: No [71]mentioning

confidence: 99%

The Renewable Energy (RE) Industry Workforce Needs: RE Simulation and Analysis Tools Teaching as an Effective Way to Enhance Undergraduate Engineering Students’ Learning

et al. 2021

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The share of renewables in the U.S. electricity generation mix is increasing and one of the major obstacles to enhancing employment in the renewable energy (RE) sector is finding skilled/qualified labor to fill positions. RE systems engineer jobs mostly need bachelor′s degrees but there are few RE engineering-focused degree programs. Therefore, there are needs to accurately train undergraduate engineering students at universities and match the education system offerings to meet RE industry demands. This study reviews RE employment by technology, RE industry workforce needs, and engineering programs accreditation, and then suggests possible means, along with theoretical RE concepts, to enhance undergraduate engineering students′ RE learning at universities. In particular, RE industries require technology skills, including analytical, scientific, and simulation software programs or tools. These RE simulation and analysis tools can be used for teaching, training, techno-economic analysis, planning, designing, optimization, etc., and are the focus of this review.

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“…The review of solar PV simulation software tools was carried out in several papers [14][15][16]. These software tools include, among others, RETScreen, HOMER Pro, PV F-CHART, PVPLANNER, SYSTEM ADVISOR MODEL (SAM), and PVSYST.…”

Section: Introductionmentioning

confidence: 99%

Multi-Attribute Decision-Making: Applying a Modified Brown–Gibson Model and RETScreen Software to the Optimal Location Process of Utility-Scale Photovoltaic Plants

Yimen

Dagbasi

2019

Processes

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Due to environmental and economic drawbacks of fossil fuels, global renewable energy (RE) capacity has increased significantly over the last decade. Solar photovoltaic (PV) is one of the fastest-growing RE technologies. Selecting an appropriate site is one of the most critical steps in utility-scale solar PV planning. This paper aims at proposing a rational multi-criteria decision-making (MCDM) approach based on the Brown–Gibson model for optimal site selection for utility-scale solar PV projects. The proposed model considers the project’s net present value (NPV) along with seven suitability factors and six critical (constraint) factors. The RETScreen software was applied in calculating the NPV, the simple payback period and the carbon emission savings of the project at each alternative site. The weights of the suitability factors were determined using the analytical hierarchy process. Applied to the case study of finding the best location for a 5 MW solar PV project in northern Cameroon, the optimization results showed that Mokolo was the optimal location. The sensitivity analysis results revealed that the rankings of alternative sites based on the project’s NPV and the proposed model are not consistent. Compared to the traditional MCDM approaches, the proposed model provides decision-makers with a more practical thinking method in the optimal location process of utility-scale solar projects.

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Analysis of Software Tools for Renewable Energy Systems

Cited by 5 publications

References 3 publications

Microgrids: A review on optimal hybrid technologies, configurations, and applications

Microgrids: A review on optimal hybrid technologies, configurations, and applications

The Renewable Energy (RE) Industry Workforce Needs: RE Simulation and Analysis Tools Teaching as an Effective Way to Enhance Undergraduate Engineering Students’ Learning

Multi-Attribute Decision-Making: Applying a Modified Brown–Gibson Model and RETScreen Software to the Optimal Location Process of Utility-Scale Photovoltaic Plants

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