Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
versions View all 3 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Assessment of renewable energy systems combining techno-economic optimization with energy scenario analysis

Authors: Sayedus Salehin; M. Tanvirul Ferdaous; Ridhwan M. Chowdhury; Sumaia Shahid Shithi; M.S.R. Bhuiyan Rofi; Mahir Asif Mohammed;

Assessment of renewable energy systems combining techno-economic optimization with energy scenario analysis

Abstract

Energy system modeling offers helpful insights for exploring the potential use of renewable energy technologies in various applications. Different software tools are extensively used to model and design the renewable energy systems having different features. The choice of software tools used is highly dependent on the specific objective of the respective study. Among the software tools used, HOMER and RETScreen are two most popular modeling software used for designing renewable energy systems. In this paper, a modeling framework utilizing HOMER and RETScreen has been proposed for assessing renewable energy systems focusing on power systems providing electricity. HOMER has been employed to obtain the optimization of energy system components, cost and electricity share for the system. The results from HOMER were subsequently used as input in RETScreen along with other appropriate inputs for detailed project analysis with energy scenario for the systems. As a case study, this framework has been utilized for assessing Solar PV-Diesel energy system and Wind-Diesel energy system in Kutubdia Island, Bangladesh. This modeling framework employing unique features of two different popular software tools, HOMER and RETScreen, can be beneficial for the researchers and policy makers to better assess renewable energy systems utilizing techno-economic optimization with energy analysis.

Country
Netherlands
Keywords

RETScreen, HOMER, Energy system modeling framework, Mechanical Engineering, Building and Construction, Pollution, Industrial and Manufacturing Engineering, Renewable energy systems, Solar PV, Energy(all), SDG 7 - Affordable and Clean Energy, Electrical and Electronic Engineering, Wind energy, SDG 7 – Betaalbare en schone energie, Civil and Structural Engineering

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    100
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
100
Top 1%
Top 10%
Top 10%