An analysis of the power market in Saudi Arabia: Retrospective cost and environmental optimization

Groissböck, Markus; Pickl, Matthias

doi:10.1016/j.apenergy.2015.12.086

Cited by 32 publications

(4 citation statements)

References 35 publications

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“…More advanced forms include additional blocks for determining demand types, demand trends, and storage options (Welsch and al., 2012). Lately, Groissböck and Pickl (2016) have carried out improvements to the OSeMOSYS model, including multi-objective functions (adjustable weights on costs and emissions).…”

Section: Literature Review and Hypothesis De-velopmentmentioning

confidence: 99%

Analyses of Optimum Production Scenarios for Sustainable Power Production in Morocco

Bahetta¹,

Hasnaoui²

2021

R. Econ. and Finan.

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The Moroccan electricity system is facing several challenges, including the sustained growth in energy demand, the strong dependence on the outside, and the preservation of the environment. This article aims to demonstrate the contribution of a carbon tax and an emission cap in the development of renewable energy sources. For this purpose, we opt-in this study for bottom-up modeling, using OSeMOSYS, which is an optimization model for longterm energy planning. The results show that: taking into account both mechanisms will lead to a diversification of the production park with greater penetration of renewable energy technologies, thus reducing the overall production of fossil fuels in Morocco. Consequently, it follows that the carbon tax offers a large deployment of renewable energy sources at the expense of a transitory increase in the total cost of the electricity system.

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Section: Literature Review and Hypothesis De-velopmentmentioning

confidence: 99%

Analyses of Optimum Production Scenarios for Sustainable Power Production in Morocco

Bahetta¹,

Hasnaoui²

2021

R. Econ. and Finan.

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“…(2016a); Gherboudj and Ghedira (2016); Mohan et al., (2016); Al-Maamary et al., 2017a, Al-Maamary et al., 2017b; Bou-Rabee et al., (2017); Nizami et al., (2017); Khan et al., (2017); Ramli et al., (2017); Mokheimer et al., (2017); Kouta et al., (2017); Alnaser (2018); Alnaser et al., (2018); Alsayegh et al., (2018); Almarshoud and Adam (2018)2EquilibriumAyyash et al., (1983); Ayyash (1983); Ayyash and Hammoudeh (1985); Al-Marafie et al., (1989); Kellow (1989); Al-Hinai et al., (1993); Burney and Al-Matrouk (1996); Dincer et al., (2004); Dincer et al., (2005); Eissa (2011); BuShehri and Wohlgenant (2012); Ahmad and Ramana (2014); Mondal et al., (2014); Matar et al., (2015); Juaidi et al. (2016b); Groissböck and Pickl (2016); Alasseri et al., (2017); Matar and Anwer (2017); Matar et al., (2017)3Investment OptimizationAlnatheer (2005); Al-Muhawesh and Qamber (2008); Farnoosh et al., (2014); Jayaraman et al., (2015); Almansoori and Betancourt-Torcat (2015); Jayaraman et al., (2017); Alshammari and Sarathy (2017); Baseer et al., (2017); Al Garni and Awasthi (2017); Parkinson et al., (2018)4Operational OptimizationAbdel-Aal and Al-Garni (1997); Badri et al., (1997); Ramanathan (2005); Al-Iriani (2005); Malik and Al-Zubeidi (2006); Malik (2007); Al-Sanea and Zedan (2008); AlRashidi and El-Naggar (2010); Al-Sanea and Zedan (2011); Shams et al., (2016); Atif and Al-Sulaiman (2017); Saghafifar and Gadalla (2017);5ScenarioAlnaser (1995); Al-Ismaily and Probert (1996); Al-Isma...…”

Section: Main Textmentioning

confidence: 99%

Survey and analysis of the quantitative methods used in electricity research on GCC countries: 1983–2018

AlKhars

2019

Heliyon

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This study provides a systematic analysis of research on the electricity sector in Gulf Cooperation Council (GCC) countries in the period 1983–2018. GCC countries have experienced tremendous economic growth in the past few decades. This was accompanied by a corresponding increase in electricity consumption. Therefore, a thorough review is needed to understand the research conducted on the electricity sector in GCC countries. This study reviewed articles published in five well-known energy journals: Applied Energy, Energy, Energy Economics, Energy Policy, and Renewable and Sustainable Energy Reviews. The articles were classified into seven categories based on the analysis tools implemented in the papers: 1. Simulation tools, 2. Scenarios tools, 3. Equilibrium tools, 4. Top-down tools, 5. Bottom-up tools, 6. Operations optimization tools, and 7. Investment optimization tools. This study also provides an overview of the research, including the increase in publications over time, an authorship analysis, a keywords analysis, and an analysis of the length of the publications.

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“…OSeMOSYS'in kaynak kodları üzerinden farklı gruplar çalışmalarına devam etmiş, GENeSYS-MOD ve MEESA gibi benzer modelleme araçları da yakın zaman önce duyurulmuştur. OSeMOSYS kullanılarak; Tunus [27], Bangladeş [28], Avustralya [29], Suudi Arabistan [30] ve Portekiz [31] modellemeleri ulusal bazda tamamlanırken, Drina Nehri [32] ve Güney Amerika (SAMBA) [33] gibi bölgeler karşılıklı etkileşimler de hesaba katılarak çok bölgeli modellemeye tabi tutulmuştur. Bölgesel çalışmalar kimi zaman Brezilya Curitiba Şehri [34], Hindistan Katgoon Köyü [35] veya Kolombiya'daki Choco bölge modellemesi [36] gibi küçük ölçekteki yerleşim birimlerine kadar daraltılabilirken; kimi zaman da bir nehir ya da kıtayı toplu olarak kapsayabilmektedir.…”

Section: Giriş (Introduction)unclassified

Afyonkarahisar için elektrik üretimi eniyilemesi

KÖKER>

Koruca

Sulukan

2023

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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Son yıllarda enerji güvenliği, toplum ve sürdürülebilir kalkınma arasındaki ilişki, enerji planlama arayüzlerinde geliştirmeleri beraberinde getirmiştir. Bu arayüzlerin yaygınlaştırılması, toplumların yıllar içinde enerji planlaması konularına artan katılımıyla sonuçlanmıştır. Ulusal düzeyde analizler 1970'lerden beri çalışılsa da, bölgesel düzeyde enerji analizleri ancak son yıllarda popülerlik kazanmaktadır. Bu makalede, Afyonkarahisar ilinde OSeMOSYS, TIMES ve NEOS araçlarının kullanılması ile beş farklı senaryo analizi konu edilmiştir. Çalışmada 2016-2031 yılları arasında tarım, sanayi, konut, aydınlatma ve enerji sektörleri elektrik üretimi optimizasyonu açısından incelenmiştir. Makalede mevcut durum, %75 yenilenebilir enerji kısıtlı model ve üç farklı karbon vergisi senaryosu incelenmiştir. Senaryolar teknolojik, çevresel ve ekonomik açıdan karşılaştırmalı olarak incelenmiş ve bulgular, sonuçlar ve yorumlar bölümlerinde tartışılmıştır. Analiz neticesinde OSeMOSYS ve TIMES’ın bölgesel modelleme için oldukça faydalı araçlar olduğu, çeşitli senaryo analizlerini yüksek doğrulukla gerçekleştirdiği gösterilmiştir.

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An analysis of the power market in Saudi Arabia: Retrospective cost and environmental optimization

Cited by 32 publications

References 35 publications

Analyses of Optimum Production Scenarios for Sustainable Power Production in Morocco

Analyses of Optimum Production Scenarios for Sustainable Power Production in Morocco

Survey and analysis of the quantitative methods used in electricity research on GCC countries: 1983–2018

Afyonkarahisar için elektrik üretimi eniyilemesi

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