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    <title>Journal of Energy and Economic Development</title>
    <link>https://jeedev.nri.ac.ir/</link>
    <description>Journal of Energy and Economic Development</description>
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    <pubDate>Thu, 01 Dec 2022 00:00:00 +0330</pubDate>
    <lastBuildDate>Thu, 01 Dec 2022 00:00:00 +0330</lastBuildDate>
    <item>
      <title>Analysis of the Effect of Women’s Perceptions on Improved Cookstoves in Rural Areas of Benin</title>
      <link>https://jeedev.nri.ac.ir/article_171719.html</link>
      <description>The introduction of a new improved cookstove called &amp;amp;ldquo;Guev Cooker&amp;amp;rdquo; in rural Benin requires an analysis of women's perceptions of current improved cookstoves they use in their household. Qualitative studies are essential to provide insight into the perspectives of cookstove users and to inform research and development of technologies that are both effective in reducing the hours spent on unpaid activities by women. Thus, the analysis of the effect of women's perception of improved cooking stoves in relation to domestic and remunerated activities in rural Benin was the subject of this research. The effect of perception (favorable, unfavorable) of improved cookstoves on use of traditional cookstoves is estimated using a probit regression applied to a sample of 531 women randomly selected in five communes of Benin, namely: Adjarra, Avrankou and Dangbo located in the department of Ou&amp;amp;eacute;m&amp;amp;eacute;; Ifangni and Sak&amp;amp;eacute;t&amp;amp;eacute; located in the department of Plateau. At the end of analysis of results, as declared favorable perception, there is the saving of time for cooking food (51.5%) and the saving of time for the collection of fuel (49%) with use of improved stoves. The estimated results showed that the index of unfavorable perception of improved cookstoves has a positive effect on use of traditional cookstoves. On the other hand, the index of favorable perception relating to improved cookstoves has a negative effect on use of traditional cookstoves. Our results emphasize the importance of use of improved cooking stoves in rural areas in Benin.</description>
    </item>
    <item>
      <title>Energy Efficiency Markets: A Snapshot to the Models, Practices, and Experiences and Insights for the Iranian Electricity Sector</title>
      <link>https://jeedev.nri.ac.ir/article_182818.html</link>
      <description>Energy efficiency has been at the centre of attention in various jurisdictions and countries as a promising solution to the challenges posed by climate changes caused by the rise of greenhouse gas emissions, energy security, etc. Experiences regarding energy efficiency initiatives worldwide indicate that adopting market-oriented approaches to achieve energy efficiency targets is more effective than relying solely on regulations. This article intends to provide some recommendations for developing a competitive environment for Iranian energy efficiency measures by reviewing energy efficiency market models, their characteristics, and the pertaining practices and experiences across the world. For this aim, market-based instruments and energy efficiency markets are introduced. Energy efficiency market models are comparatively evaluated. Barriers regarding the development of energy efficiency markets are expounded and the challenges of launching energy efficiency markets are described. The results indicate that there is a serious exiguity of investment in providing energy efficiency initiatives in the Iranian electricity generation sector. Hence, due to electricity shortage in peak periods, it is proposed to take advantage of the Iranian capacity market potential to develop energy efficiency measures in Iran.</description>
    </item>
    <item>
      <title>Electricity Consumption, Capital, Labour, and GDP Growth: An Empirical Evidence from Bangladesh</title>
      <link>https://jeedev.nri.ac.ir/article_186473.html</link>
      <description>This research examines the short-run, long-run, and joint causal impact of electricity consumption, capital, labour and the GDP growth rate of Bangladesh. Considering previous research, this paper uses the most recent data from 1990 to 2022, when Bangladesh's economy was more stable and experienced continuous growth. Capital and labour are incorporated with electricity to overcome the omitted variable in the growth assessment. Methodologically, the ARDL bound test and Johansen cointegration analysis were used to examine whether electricity and GDP have a long-run association. After that, short-run relationships were examined in both cases. The causality direction identified by the Toda-Yamamoto test addresses the shortcomings of Granger causality. All the methodological steps and tests were further assessed on model stability, serial correlation, normality, and homoskedasticity. Hence, the findings are more robust and policy-oriented. Research findings show unidirectional causality from electricity, capital, and labour to GDP individually and jointly. Hence, all three components should give commensurate importance. Therefore, instead of expensive, heavily subsidised, and short-run solutions, Bangladesh should look at the long-run and cost-effective alternatives for electricity sources.</description>
    </item>
    <item>
      <title>An MCDM- Based Approach for Renewable Energy Planning in Iran</title>
      <link>https://jeedev.nri.ac.ir/article_194599.html</link>
      <description>In selecting appropriate energy technologies for various regions of Iran, policymakers should consider the geographical diversity of the territory, which provides remarkable renewable energy sources. Any investment in renewable energy technologies without proper assessment wastes financial resources and may also increase the possibility of losing social capital and public confidence in renewable energy promotion policies. Multiple criteria methods are appropriate for assembling and handling a wide range of variables evaluated in different ways, thereby offering valid decision support. This research aims to develop a model to rank and classify potential renewable energy technologies based on multiple criteria methods. Five potential alternatives were considered in terms of four general clusters - technical, environmental, financial, and social - and all decision-makers were also classified into these groups. After a comprehensive literature review, PROMETHEE was selected as an appropriate Multi-Criteria Decision-Making (MCDM) method. The model was built using a Group Decision Support System (GDSS) procedure incorporating theoretical and empirical data from governmental and academic resources. Common and specific parameters were accounted for based on each group's proficiency. In the early stage, 30 criteria were investigated. Finally, individual and group evaluations were carried out, and differences between potential alternatives were determined. As a result, they were prioritised in order of preference, with micro hydropower, wind, and solar emerging as the best alternatives, respectively.</description>
    </item>
    <item>
      <title>The Triple Nexus: Understanding How Institutions, Economics, and Technology Drive Energy Transition</title>
      <link>https://jeedev.nri.ac.ir/article_194600.html</link>
      <description>The urgency of transitioning towards sustainable energy practices in light of escalating environmental challenges necessitates a comprehensive understanding of energy transition dynamics. This study addresses a critical research gap by developing and applying the Triple Nexus Model, which integrates institutions, economics, and technology to analyse the complexities of the energy transition. Drawing on theoretical frameworks from institutional economics, technological innovation studies, and sustainability science, the Triple Nexus Model provides a robust foundation for the analysis. Through empirical evidence gathered from diverse global contexts such as Denmark, Germany, India, and Brazil, this study employs a multi-method approach to ensure rigour and validity. Key findings underscore the pivotal role of effective institutional frameworks in driving energy transition and providing stability and legitimacy. Economic incentives and market dynamics are crucial drivers, accelerating the adoption of renewable energy technologies. Technological innovation is also a linchpin for transformative change, offering solutions to decarbonising energy systems and enhancing efficiency. By filling this research gap and employing a rigorous scientific method, this study contributes to advancing scholarly discourse and informing policy and practice in energy transition. Future research should build upon these findings to further explore the intricacies of energy transition dynamics, ultimately paving the way for a sustainable and resilient energy future.</description>
    </item>
    <item>
      <title>Evaluation of Increasing-Block Pricing for Residential Electricity: A Case Study of Iran</title>
      <link>https://jeedev.nri.ac.ir/article_203072.html</link>
      <description>In Iran, residential electricity prices are determined by the Increasing Block Pricing (IBP). In this approach, electricity prices increase with consumption as it moves from one block to a higher block. To assess the effectiveness of this policy and analyse the price elasticity of residential electricity demand in Iran, this study utilises data from the 31 provinces of Iran to estimate two models of electricity demand based on average price and marginal price from 2015:3 to 2020:2. For this purpose, this study uses the Dynamic Common Correlated Effects (DCCE) approach. The results show that electricity is inelastic. Moreover, the comparison of coefficients of average price and marginal price shows that the consumer's response to changes in the average price is greater than the marginal price. Therefore, the IBP policy has not performed well regarding electricity demand management.</description>
    </item>
    <item>
      <title>Economic Analysis of Wind Turbines in Oil and Gas Platforms: A Case Study</title>
      <link>https://jeedev.nri.ac.ir/article_210585.html</link>
      <description>Power generation in oil and gas platforms is usually carried out by diesel generators or gas turbines located in the platform. Using the above equipment, taking into account safety issues to prevent explosions and fires, as well as fueling them offshore, will be very expensive. In addition, the mentioned devices emit a significant amount of CO2 and NOx. Therefore, the use of renewable energy instead of fossil fuels can be much more economical and environmentally friendly. In this research, the feasibility of using wind energy to supply a part of the energy required for the offshore equipment of the Persian Gulf is investigated through a detailed economic analysis of the use of wind turbines on oil and gas platforms. For this purpose, wind speed data is extracted from gauges located at 10 meters, 30 meters and 40 meters above sea level. The results of the measurements show the average wind velocity is 4.45 m/s, 4.99 m/s and 5.34 m/s for these levels respectively. In addition, the annual power density values for these levels are 128.36 W/m2, 173.80 W/m2 and 210.42 W/m2. These statistical results show that the height of 40 meters creates better conditions for installing a medium-sized turbine, and it is also possible to install equipment on the Reshadat oil platform at this height. Of course, The main limitations of wind turbine loading on Oil&amp;amp;amp;Gas offshore platforms are primarily the requirement for explosion-proof installation equipment, lack of sufficient space, vibration control, weight limitations, and sufficient resistance to moisture. due to the noise control requirement and &amp;amp;nbsp;the small space available on the platform deck, it is recommended to use vertical axis wind turbines (VAWT). The use of this type of wind turbines can provide 75% of the required power of the platform. The economic results of RETScreen software show that in this project with a lifespan of 30 years, the use of wind turbine systems is profitable so that after 8.2 years, the total cost of the project returns.</description>
    </item>
    <item>
      <title>Prioritizing Waste-to-Energy Solutions for Industrial Hubs: A Case Study on Sustainability in Yazd Province</title>
      <link>https://jeedev.nri.ac.ir/article_223820.html</link>
      <description>The management of municipal solid waste (MSW) and meeting the growing energy demands are critical infrastructure challenges in developing economies, particularly in expanding industrial cities. These cities attract substantial labor migration due to diverse employment opportunities, contributing to rapid population growth and a sharp increase in MSW generation&amp;amp;mdash;intensifying the need for efficient and sustainable waste management systems. Waste-to-energy (WtE) technologies offer a promising dual-purpose solution by converting waste into usable energy while reducing environmental burden. However, selecting the most appropriate technology requires a context-sensitive, multi-dimensional assessment. This study proposes a hybrid multi-criteria decision-making (MCDM) model that integrates the Best-Worst Method (BWM) and the MARCOS method to assess the sustainability of four WtE alternatives. As a case study, the model is applied to Yazd, one of Iran&amp;amp;rsquo;s key industrial hubs. Results showed that technical (32.4%) and economic (25.3%) criteria had the highest weights in the sustainability evaluation. Among the technologies, pyrolysis achieved the highest utility score (0.679), followed by gasification (0.653), anaerobic digestion (0.652), and incineration (0.536).The proposed framework provides a practical decision-support tool for policymakers and planners in similarly developing industrial regions.</description>
    </item>
    <item>
      <title>Electricity Demand and Supply Estimation and Export Potential Examination in Iran</title>
      <link>https://jeedev.nri.ac.ir/article_230259.html</link>
      <description>Electricity plays a vital role in economic growth and social welfare, making power supply stability critical. Its non-storability requires immediate consumption, emphasizing accurate forecasting to prevent shortages and optimize surplus for export. For Iran, with abundant natural gas resources and strategic geography, electricity trade can diversify revenues beyond oil. However, systematic planning to optimize production and balance domestic use with exports remains limited, while regulatory and seasonal demand challenges persist. This study estimates Iran&amp;amp;rsquo;s electricity supply and demand using seasonal data from 2009&amp;amp;ndash;2019 with the OLS method to calculate price elasticity and compares production under competitive versus monopoly conditions, showing that restructuring could enhance output. Using the ARIMA model, electricity supply and demand are forecasted until 2026&amp;amp;ndash;27 to evaluate export potential and inform policy for market restructuring and seasonal shortage management.</description>
    </item>
    <item>
      <title>Assessing wind energy potential and economics for three offshore locations on the Persian Gulf in Iran</title>
      <link>https://jeedev.nri.ac.ir/article_232969.html</link>
      <description>Wind energy has been increasingly used in recent years, and is potentially competitive with conventional fuels in many locations. The spatial dependence is significant and related to the speed and energy of the winds. In this paper, energy + and economic feasibility assessments of offshore winds are carried out, by considering the use of wind turbines in Abu Musa, Qeshm and Kish islands, located in the south of Iran . The analyses utilize&amp;amp;nbsp; the Weibull &amp;amp;nbsp;density function and recorded data for a four-year period (2020-2023), taken at three-hour intervals and at heights of 10 and 50 m. The hourly, daily, monthly and annual variations of wind speed are analyzed, and the economic feasibility is determined of installing wind turbine sat the sites. Annual values for the Weibull shape parameters for Abu Musa, Qeshm and Kish islands are found to be in the range of 2.39-2.10, 2.28-2.54 and 2.04-2.10, respectively. The maximum wind power densities for Abu Musa, Qeshm and Kish islands occur in January, April and March, respectively. The results show that the wind potential and the generated electricity with two wind turbines models are suitable for the studied sites, and that the cost of generating electricity is lower than the price offered by the Iranian government to private power plants.</description>
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