RETScreen: Clean Energy Management Software

Parakh, Dinesh S.; Leng, Gregory J.

doi:10.1201/9781003151326-22

Cited by 6 publications

(5 citation statements)

References 0 publications

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“…The Natural Resources Canada (NRC)-developed Renewable Energy Technologies Screening Software (RETScreen) version 4 was used to assess the viability of this study. The benefit influences how people choose to use the software i.e is user friendly, flexible without compromising on the technical details, ability to computing project cost etc [15]. Utilizing a fivestep analytical process that includes an energy analysis, cost analysis, emission analysis, financial analysis, and sensitivity/risk analysis.…”

Section: Retscreen 4 Overviewmentioning

confidence: 99%

Assessment of the feasibility of Aku small hydropower project using RETscreen Energy Model Software

Chinyere,

Sanusi,

Kulla

2024

Nig. J. Tech.

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The RETScreen 4 software was used in this study to conduct the analysis to determine the viability of the river Aku hydropower plant in Uturu, Abia State. The study was carried out using data from Ivo river dam authority, previous studies and literatures. The result of the study showed that the Aku river could generate an annual energy of 6,434,000kWh and will be able to payback its project cost at 6.3 years. The estimated annual GHG reduction of the project stood at 4,310.7tCo2 an equivalent of 1,852,317 litres of gasoline not used. The sensitivity/risk analysis indicated that electricity export rate (electricity sales price), initial cost and debt interest rate impacted the project profitability the most in that order. The project NPV is sensitive to both the debt interest rate and the initial cost of the project as variation in cost above 30% will throw the project into a negative NPV. In the light of the available information, the project is feasible if implemented.

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Section: Retscreen 4 Overviewmentioning

confidence: 99%

Assessment of the feasibility of Aku small hydropower project using RETscreen Energy Model Software

Chinyere,

Sanusi,

Kulla

2024

Nig. J. Tech.

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“…Building azimuth is changed from 90° to 270° (north is 0) (Figure 4). A series of BIPV system options will be assessed in terms of the costs and energy production of BIPV systems through the renewable energy simulations modelling software RETScreen Expert [21]. The insulation performance of walls and roofs was selected based on the TSNZEB (GB/T 51350-2019) standard [22].…”

Section: Related Geometrical and Parametersmentioning

confidence: 99%

Early-Stage Design Parameters for Low-Energy Solar Rural Houses in Qinghai-Tibet Plateau

Xiao,

Liu,

Cho

et al. 2024

E3S Web of Conf.

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As an effective solution to achieve carbon neutrality, the development of low-energy solar houses is now in the ascendant in China. The Qinghai Tibet Plateau (QTP), which is rich in solar energy resources, is considered to be an important region for solar technologies studying. Rural houses are the main living form for residents in the QTP, early-stage design parameters play an important role in achieving low-energy consumption of rural houses. However, researches on the design method and parameters of low-energy solar rural house were relatively poor at present. This paper examined the influence of early-stage design parameters on the energy performance of low-energy solar rural houses incorporating building-integrated photovoltaic (BIPV) roof systems. A 2-storey 110 m2 rural house was studied as an archetype. Through simulation, a range of related building parameters, such as shape coefficient, window-to-wall ratio (WWR) and azimuth angle were analysed and compared. The impact of early-stage design parameters on energy consumption in winter, ventilation in summer and BIPV system annual energy yield were considered.

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“…Tools used for modeling hydro-electric power include HOMER Hydro Module [61] and RETScreen [62], which can be used to provide a comprehensive view by considering technical, financial, and environmental aspects.…”

Section: Hydro-electricmentioning

confidence: 99%

Design of Energy Communities and Data-Sharing: Format and Open Data

Guerrazzi,

Thomopulos,

Fioriti

et al. 2023

Energies

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Governments are promoting energy community (EC) policies to encourage joint investment and the operation of shared energy assets by citizens, industries, and public authorities, with the aim of promoting economic, social, and environmental benefits. However, ECs require appropriate planning and energy management strategies, which require data that are rarely clean and well-structured. Data providers rarely adhere to a common format for data sharing, which hinders the development of ECs. As the number of ECs is expected to grow significantly, this poses significant issues for stakeholders to quickly and efficiently develop projects. To address this issue, in this paper we propose a literature-based analysis and classification to derive the major data needs for EC planning, as well as a template format for data sharing. Our literature review on ECs successfully identifies the main data required to properly describe this system and its components. Their classification further clarifies that data structures shall account for tabular-like data of various types and flexible dimentionality, or cardinality. A public release of an open dataset for a case study in Pisa, Italy is also provided, supported by realistic or real data for testing the sizing and operation of ECs. The results suggest that data standard practices are needed, and this paper can lay the foundation for their standardization for ECs to fast-forward their deployment as support policy and technical decision-making.

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RETScreen: Clean Energy Management Software

Cited by 6 publications

References 0 publications

Assessment of the feasibility of Aku small hydropower project using RETscreen Energy Model Software

Assessment of the feasibility of Aku small hydropower project using RETscreen Energy Model Software

Early-Stage Design Parameters for Low-Energy Solar Rural Houses in Qinghai-Tibet Plateau

Design of Energy Communities and Data-Sharing: Format and Open Data

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