Pub Date : 2025-03-07DOI: 10.1016/j.rset.2025.100106
Mohammad Miri , Jacob Monroe , Tamara Knittel , Madeleine McPherson
Canada has set a target to become net zero by 2050. One of the key pathways for achieving this goal and supporting electrified demand is to expand variable renewable energy capacities. Such integration requires flexibility measures to respond to inherited variability, such as a reactive generation mix, responsive demand, or transmission. This study aims to find the impacts of coordinated planning and integrated operation of two power systems, one with flexible hydro capacities and the other with high shares of variable renewables. The present study uses a linked framework of planning and operational models to analyze different integration levels, load electrification scenarios, and sensitivity to hydropower constraints. The results show that the systems can achieve zero-emission goals with around one-third of the capital requirements when there is no constraint on the grid expansion between the two jurisdictions. Flexibility metrics, like curtailment, perform better when the large wind capacities in one power system are coupled with flexible hydro capacities in the other through the expanded grid. A sensitivity analysis is also done on hydropower constraints which shows a positive correlation between minimum hydropower output and curtailed wind generation when the integration is limited.
{"title":"Integrated planning and operation of power systems: Flexibility in high penetration of wind and solar","authors":"Mohammad Miri , Jacob Monroe , Tamara Knittel , Madeleine McPherson","doi":"10.1016/j.rset.2025.100106","DOIUrl":"10.1016/j.rset.2025.100106","url":null,"abstract":"<div><div>Canada has set a target to become net zero by 2050. One of the key pathways for achieving this goal and supporting electrified demand is to expand variable renewable energy capacities. Such integration requires flexibility measures to respond to inherited variability, such as a reactive generation mix, responsive demand, or transmission. This study aims to find the impacts of coordinated planning and integrated operation of two power systems, one with flexible hydro capacities and the other with high shares of variable renewables. The present study uses a linked framework of planning and operational models to analyze different integration levels, load electrification scenarios, and sensitivity to hydropower constraints. The results show that the systems can achieve zero-emission goals with around one-third of the capital requirements when there is no constraint on the grid expansion between the two jurisdictions. Flexibility metrics, like curtailment, perform better when the large wind capacities in one power system are coupled with flexible hydro capacities in the other through the expanded grid. A sensitivity analysis is also done on hydropower constraints which shows a positive correlation between minimum hydropower output and curtailed wind generation when the integration is limited.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"7 ","pages":"Article 100106"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-01DOI: 10.1016/j.rset.2025.100105
Ahmad Gufron , Pranda M.P. Garniwa , Dhavani A. Putera , Fadhilah A. Suwadana , Dita Puspita , Hyunjin Lee , Indra A. Aditya , Supriatna Supriatna
The use of renewable energy, such as solar power, has the potential to mitigate the negative impacts of fossil fuel consumption. West Java Province holds significant potential for solar-based electricity development. This study aims to estimate hourly solar radiation, addressing extreme fluctuations in intensity within the study area. Solar radiation estimation is performed using a Long Short-Term Memory machine learning model. The model uses data from eight measurement stations operated by the Badan Meteorologi, Klimatologi, dan Geofisika, recorded from 2022 to 2023, along with satellite imagery from the Geo-KOMPSAT-2A satellite to improve accuracy. Spatial interpolation using the Inverse Distance Weighting method is applied to estimate the spatial distribution of solar radiation, addressing gaps in previous studies that overlooked spatial aspects. The results indicate that input selection based on Pearson correlation analysis plays a role in influencing model accuracy. The best-performing model, which incorporates Air temperature, Relative humidity, Wind speed, Solar zenith angle, and Raw satellite pixel value as input variables, achieves an RMSE of 149.46 W/m² and an rRMSE of 39.99 %, with overall rRMSE ranging from 39.99 to 44.05 % and rMBE between 0.44 and 10.33 %. Inverse Distance Weighting transforms point-based Global horizontal irradiance estimates into continuous spatial data, but accuracy variations across stations, particularly in high-altitude areas, limit its effectiveness. These findings suggest that hybrid machine learning models or advanced spatialized techniques should be considered for future research. Despite its limitations, this study contributes to improving solar radiation estimation and spatial analysis, supporting renewable energy development in West Java.
{"title":"A preliminary LSTM-IDW model for spatiotemporal hourly solar radiation estimation in tropical regions","authors":"Ahmad Gufron , Pranda M.P. Garniwa , Dhavani A. Putera , Fadhilah A. Suwadana , Dita Puspita , Hyunjin Lee , Indra A. Aditya , Supriatna Supriatna","doi":"10.1016/j.rset.2025.100105","DOIUrl":"10.1016/j.rset.2025.100105","url":null,"abstract":"<div><div>The use of renewable energy, such as solar power, has the potential to mitigate the negative impacts of fossil fuel consumption. West Java Province holds significant potential for solar-based electricity development. This study aims to estimate hourly solar radiation, addressing extreme fluctuations in intensity within the study area. Solar radiation estimation is performed using a Long Short-Term Memory machine learning model. The model uses data from eight measurement stations operated by the Badan Meteorologi, Klimatologi, dan Geofisika, recorded from 2022 to 2023, along with satellite imagery from the Geo-KOMPSAT-2A satellite to improve accuracy. Spatial interpolation using the Inverse Distance Weighting method is applied to estimate the spatial distribution of solar radiation, addressing gaps in previous studies that overlooked spatial aspects. The results indicate that input selection based on Pearson correlation analysis plays a role in influencing model accuracy. The best-performing model, which incorporates Air temperature, Relative humidity, Wind speed, Solar zenith angle, and Raw satellite pixel value as input variables, achieves an RMSE of 149.46 W/m² and an rRMSE of 39.99 %, with overall rRMSE ranging from 39.99 to 44.05 % and rMBE between <span><math><mo>−</mo></math></span>0.44 and 10.33 %. Inverse Distance Weighting transforms point-based Global horizontal irradiance estimates into continuous spatial data, but accuracy variations across stations, particularly in high-altitude areas, limit its effectiveness. These findings suggest that hybrid machine learning models or advanced spatialized techniques should be considered for future research. Despite its limitations, this study contributes to improving solar radiation estimation and spatial analysis, supporting renewable energy development in West Java.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"7 ","pages":"Article 100105"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Deployment of new onshore wind power faces challenges due to growing resistance, prompting increased interest in the development of effective deployment strategies. One approach is to examine historical deployment to identify factors shaping its distribution within a country. Current literature presents inconsistent results and lacks theoretically grounded approaches. This study enhanced the methodology for analyzing subnational wind deployment in two ways. First, techno-economic, socio-technical, and political perspectives from national energy transition literature were employed to identify relevant deployment mechanisms. Second, the approach differentiated between small-scale and large-scale wind power to avoid conflating results from obsolete technologies. The method is piloted in Sweden where wind deployment varied significantly despite nationwide policies. Findings from Sweden suggest that subnational heterogeneity of wind deployment at the municipality level is not primarily determined by techno-economic factors, but also by socio-technical and political variables. Deployment mechanisms also evolved over time, possibly due to technological upscaling. Small-scale wind power (≤1.5 MW) leveraged agricultural land and accumulated local experience, while large-scale wind power (>1.5 MW) is correlated with political variables such as siting policy and voter turnout. Municipalities with the highest large-scale deployment typically have extensive forest cover, low population density and wind speeds within a lower median range relative to the national median. Findings from Sweden can inform hypotheses for evaluation in other countries and future research can extend the proposed analytical framework to different national contexts.
{"title":"Spatial heterogeneity in deployment and upscaling of wind power in Swedish municipalities","authors":"Yodefia Rahmad , Fredrik Hedenus , Jessica Jewell , Vadim Vinichenko","doi":"10.1016/j.rset.2025.100104","DOIUrl":"10.1016/j.rset.2025.100104","url":null,"abstract":"<div><div>Deployment of new onshore wind power faces challenges due to growing resistance, prompting increased interest in the development of effective deployment strategies. One approach is to examine historical deployment to identify factors shaping its distribution within a country. Current literature presents inconsistent results and lacks theoretically grounded approaches. This study enhanced the methodology for analyzing subnational wind deployment in two ways. First, techno-economic, socio-technical, and political perspectives from national energy transition literature were employed to identify relevant deployment mechanisms. Second, the approach differentiated between small-scale and large-scale wind power to avoid conflating results from obsolete technologies. The method is piloted in Sweden where wind deployment varied significantly despite nationwide policies. Findings from Sweden suggest that subnational heterogeneity of wind deployment at the municipality level is not primarily determined by techno-economic factors, but also by socio-technical and political variables. Deployment mechanisms also evolved over time, possibly due to technological upscaling. Small-scale wind power (≤1.5 MW) leveraged agricultural land and accumulated local experience, while large-scale wind power (>1.5 MW) is correlated with political variables such as siting policy and voter turnout. Municipalities with the highest large-scale deployment typically have extensive forest cover, low population density and wind speeds within a lower median range relative to the national median. Findings from Sweden can inform hypotheses for evaluation in other countries and future research can extend the proposed analytical framework to different national contexts.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"7 ","pages":"Article 100104"},"PeriodicalIF":0.0,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.rset.2024.100098
Kalim U. Shah , Pravesh Raghoo , Philipp Blechinger
{"title":"Corrigendum to “Is there a case for a coal moratorium in Indonesia? Power sector optimization modeling of low-carbon strategies” [Renewable and Sustainable Energy Transition (2024) 100074]","authors":"Kalim U. Shah , Pravesh Raghoo , Philipp Blechinger","doi":"10.1016/j.rset.2024.100098","DOIUrl":"10.1016/j.rset.2024.100098","url":null,"abstract":"","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"6 ","pages":"Article 100098"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-30DOI: 10.1016/j.rset.2025.100103
Sook-Theng Lam , Kian-Meng Yap , Keat-Hoe Yeoh
Malaysia aims to achieve carbon neutrality by 2050, addressing climate change by transitioning to low-carbon electricity. With the power sector contributing 36 % of carbon emissions in 2019, solar photovoltaic (PV) is a key solution, given Malaysia's abundant sunshine. While government roadmaps emphasize solar PV, the retrofit market remains underexplored. This study investigates barriers to rooftop solar PV adoption in existing houses using the unified theory of acceptance and use of technology (UTAUT2), examining economic, environmental, social, technological, and regulatory factors. Combining quantitative surveys and in-depth interviews, it identifies drivers and obstacles, providing actionable insights for policymakers and stakeholders to accelerate adoption and support Malaysia's decarbonization goals. Findings from SEM indicate that Performance Expectancy (PE, β = 0.311, p < 0.001), Price Value (PV, β = 0.245, p = 0.006), Facilitating Conditions (FC, β = 0.311, p < 0.001) and Environmental Concern (EC, β = 0.253, p < 0.001) significantly predict Behavioral Intention (BI) to adopt rooftop solar PV systems. Social Influence (SI, β = −0.111, p = 0.165), Effort Expectancy (EE, β = −0.098, p = 0.266) and Hedonic Motivation (HM, β = 0.082, p = 0.167) were statistically insignificant. The model explained 88.6 % of the variance (R² = 0.886), with high sampling adequacy (KMO = 0.949). However, qualitative findings reveal that Social Influence plays a significant role in shaping BI, highlighting the importance of peer recommendations and community perceptions. These integrated findings highlight the importance of considering economic, social, and environmental factors in the adoption process. This study expands the applicability of UTAUT2 to new technology research, particularly for rooftop solar PV, providing valuable insights for policymakers and stakeholders to promote solar PV adoption and support Malaysia's decarbonization goals.
马来西亚的目标是到2050年实现碳中和，通过向低碳电力过渡来应对气候变化。鉴于马来西亚阳光充足，2019年电力行业的碳排放量占总排放量的36%，太阳能光伏（PV）是一个关键的解决方案。虽然政府的路线图强调太阳能光伏，但改造市场仍未得到充分开发。本研究使用技术接受和使用统一理论（UTAUT2），考察经济、环境、社会、技术和监管因素，调查现有住宅屋顶太阳能光伏采用的障碍。结合定量调查和深度访谈，它确定了驱动因素和障碍，为政策制定者和利益相关者提供了可操作的见解，以加速采用和支持马来西亚的脱碳目标。SEM结果表明，绩效预期(PE, β = 0.311, p <；0.001)，价格价值（PV, β = 0.245, p = 0.006），便利条件(FC, β = 0.311, p <；0.001)和环境关注(EC, β = 0.253, p <；0.001)显著预测采用屋顶太阳能光伏系统的行为意向（BI）。社会影响（SI, β = - 0.111, p = 0.165）、努力期望（EE, β = - 0.098, p = 0.266）和享乐动机（HM, β = 0.082, p = 0.167）差异均无统计学意义。该模型解释了88.6%的方差（R²= 0.886），具有较高的抽样充分性（KMO = 0.949）。然而，定性研究结果表明，社会影响在形成商业智能方面发挥着重要作用，突出了同行建议和社区看法的重要性。这些综合调查结果突出了在采用过程中考虑经济、社会和环境因素的重要性。这项研究扩大了UTAUT2对新技术研究的适用性，特别是屋顶太阳能光伏，为政策制定者和利益相关者提供了有价值的见解，以促进太阳能光伏的采用，并支持马来西亚的脱碳目标。
{"title":"Driving sustainable energy transition: Understanding residential rooftop solar photovoltaic adoption in Malaysia through a behavioural analysis","authors":"Sook-Theng Lam , Kian-Meng Yap , Keat-Hoe Yeoh","doi":"10.1016/j.rset.2025.100103","DOIUrl":"10.1016/j.rset.2025.100103","url":null,"abstract":"<div><div>Malaysia aims to achieve carbon neutrality by 2050, addressing climate change by transitioning to low-carbon electricity. With the power sector contributing 36 % of carbon emissions in 2019, solar photovoltaic (PV) is a key solution, given Malaysia's abundant sunshine. While government roadmaps emphasize solar PV, the retrofit market remains underexplored. This study investigates barriers to rooftop solar PV adoption in existing houses using the unified theory of acceptance and use of technology (UTAUT2), examining economic, environmental, social, technological, and regulatory factors. Combining quantitative surveys and in-depth interviews, it identifies drivers and obstacles, providing actionable insights for policymakers and stakeholders to accelerate adoption and support Malaysia's decarbonization goals. Findings from SEM indicate that Performance Expectancy (PE, β = 0.311, <em>p</em> < 0.001), Price Value (PV, β = 0.245, <em>p</em> = 0.006), Facilitating Conditions (FC, β = 0.311, <em>p</em> < 0.001) and Environmental Concern (EC, β = 0.253, <em>p</em> < 0.001) significantly predict Behavioral Intention (BI) to adopt rooftop solar PV systems. Social Influence (SI, β = −0.111, <em>p</em> = 0.165), Effort Expectancy (EE, β = −0.098, <em>p</em> = 0.266) and Hedonic Motivation (HM, β = 0.082, <em>p</em> = 0.167) were statistically insignificant. The model explained 88.6 % of the variance (R² = 0.886), with high sampling adequacy (KMO = 0.949). However, qualitative findings reveal that Social Influence plays a significant role in shaping BI, highlighting the importance of peer recommendations and community perceptions. These integrated findings highlight the importance of considering economic, social, and environmental factors in the adoption process. This study expands the applicability of UTAUT2 to new technology research, particularly for rooftop solar PV, providing valuable insights for policymakers and stakeholders to promote solar PV adoption and support Malaysia's decarbonization goals.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"7 ","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143281029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-10DOI: 10.1016/j.rset.2024.100102
Esrafil Shahveran, Hossein Yousefi
The worldwide matter of climate change, which has negative impacts on the Earth and its inhabitants, is attributed to the elevation in emissions of greenhouse gases (GHGs) caused by the burning of fossil fuels. Due to the disproportionate rise of GHGs in recent decades, global warming and climate change have necessitated the adoption of suitable measures. In this context, the Paris Agreement, which seeks to diminish global GHG emissions, was ratified in 2015 by the UNFCCC to impede the rise in temperature. As a signatory to the contract, Iran has pledged to lower its GHG emissions by 2030, as outlined in the country's intended nationally determined contributions (INDC). The power sector stands out as the primary source of these gas emissions; thus, the article focuses solely on this issue. To fulfill Iran's obligations under the Paris Agreement regarding the power industry, three scenarios were developed using the EnergyPLAN model, i.e., Business as Usual (BAU), National Strategic Plan on Climate Change (NSP), and Integrated Renewables and Efficiency Enhancement (IREE). Unlike the other two scenarios, the BAU scenario fails to meet Iranian obligations. Iran appears to have the capacity to honor its commitments by the NSP framework before 2030, yet its feasibility remains uncertain. Consequently, the IREE scenario is recommended, which could comply with Iran's commitments under the Paris Agreement by increasing the capacity of renewable energies to 3200 MW (wind and solar) and enhancing the average efficiency of thermal power plants to 41 %.
{"title":"Replacing fossil fuel-based power plants with renewables to meet Iran's environmental commitments in the electricity sector","authors":"Esrafil Shahveran, Hossein Yousefi","doi":"10.1016/j.rset.2024.100102","DOIUrl":"10.1016/j.rset.2024.100102","url":null,"abstract":"<div><div>The worldwide matter of climate change, which has negative impacts on the Earth and its inhabitants, is attributed to the elevation in emissions of greenhouse gases (GHGs) caused by the burning of fossil fuels. Due to the disproportionate rise of GHGs in recent decades, global warming and climate change have necessitated the adoption of suitable measures. In this context, the Paris Agreement, which seeks to diminish global GHG emissions, was ratified in 2015 by the UNFCCC to impede the rise in temperature. As a signatory to the contract, Iran has pledged to lower its GHG emissions by 2030, as outlined in the country's intended nationally determined contributions (INDC). The power sector stands out as the primary source of these gas emissions; thus, the article focuses solely on this issue. To fulfill Iran's obligations under the Paris Agreement regarding the power industry, three scenarios were developed using the EnergyPLAN model, i.e., Business as Usual (BAU), National Strategic Plan on Climate Change (NSP), and Integrated Renewables and Efficiency Enhancement (IREE). Unlike the other two scenarios, the BAU scenario fails to meet Iranian obligations. Iran appears to have the capacity to honor its commitments by the NSP framework before 2030, yet its feasibility remains uncertain. Consequently, the IREE scenario is recommended, which could comply with Iran's commitments under the Paris Agreement by increasing the capacity of renewable energies to 3200 MW (wind and solar) and enhancing the average efficiency of thermal power plants to 41 %.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"7 ","pages":"Article 100102"},"PeriodicalIF":0.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-29DOI: 10.1016/j.rset.2024.100101
M. Peretto , W. Eichhammer , D. Süsser
Coal regions are particularly vulnerable to the plans to reduce regional pollution and move towards a climate-neutral economy. The European Union therefore supports the transition away from coal in those regions that are socio-economically most affected to reduce negative impacts for communities. Coal regions have developed their Territorial Just Transition Plans (TJTPs); however, it is unclear which impacts the plans should address to ensure a just transition and to what degree. To address this gap, the following research aims to develop an indicator and impact matrix to assess the extent to which TJTPs address key impacts related to just transitions and how are these quantified. Key just transition impacts were investigated quantitatively and qualitatively in six coal regions. The results indicate that the expected transition impacts on communities in coal regions are mainly negative. Furthermore, it was also found that TJTPs predominantly address the impacts on employment and the environment, whereas social and demographic impacts are less comprehensively considered. These deficiencies should be addressed in each region in order to define tailored policies and investments that can assist in minimising negative impacts and capitalising on positive benefits for communities. The proposed approach can facilitate a more precise definition and assessment of regional impacts of transition towards climate neutrality, thereby aiding the identification of policy areas and measures that will enable the implementation of a truly just transition.
{"title":"Just energy transition in coal regions: Innovative framework for assessing territorial just transition plans","authors":"M. Peretto , W. Eichhammer , D. Süsser","doi":"10.1016/j.rset.2024.100101","DOIUrl":"10.1016/j.rset.2024.100101","url":null,"abstract":"<div><div>Coal regions are particularly vulnerable to the plans to reduce regional pollution and move towards a climate-neutral economy. The European Union therefore supports the transition away from coal in those regions that are socio-economically most affected to reduce negative impacts for communities. Coal regions have developed their Territorial Just Transition Plans (TJTPs); however, it is unclear which impacts the plans should address to ensure a just transition and to what degree. To address this gap, the following research aims to develop an indicator and impact matrix to assess the extent to which TJTPs address key impacts related to just transitions and how are these quantified. Key just transition impacts were investigated quantitatively and qualitatively in six coal regions. The results indicate that the expected transition impacts on communities in coal regions are mainly negative. Furthermore, it was also found that TJTPs predominantly address the impacts on employment and the environment, whereas social and demographic impacts are less comprehensively considered. These deficiencies should be addressed in each region in order to define tailored policies and investments that can assist in minimising negative impacts and capitalising on positive benefits for communities. The proposed approach can facilitate a more precise definition and assessment of regional impacts of transition towards climate neutrality, thereby aiding the identification of policy areas and measures that will enable the implementation of a truly just transition.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"7 ","pages":"Article 100101"},"PeriodicalIF":0.0,"publicationDate":"2024-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-17DOI: 10.1016/j.rset.2024.100099
Parsa Shirzad, Ivan Kantor
Propylene, a fundamental chemical, has witnessed a significant surge in demand in recent decades, establishing itself as the second most primary intermediate compound after ethylene. Propylene manufacturing currently depends on non-renewable resources, specifically naphtha or propane from fossil sources. The conventional methods are economically feasible and mature; however, they emit greenhouse gases and consume non-renewable resources. Therefore, it is necessary to transition to more sustainable production methods. This review aims to provide and analyze many possible routes for the production of propylene using sustainable resources. The categorization of these pathways is determined by the raw material employed for the manufacture of propylene. Out of the several paths considered, bio-propane dehydrogenation stands out as a viable option for producing propylene in the future. Furthermore, this study examines and reports on the analysis of catalyst selection, the design of operating conditions, and the yield and selectivity of propylene in each pathway. Zeolite-based catalysts, particularly ZSM-5, exhibit remarkable selectivity in propylene synthesis across several processes. To fully comprehend the sustainability and feasibility of these paths, this research also reviews environmental impact and techno-economic metrics of several established propylene production methods.
{"title":"Toward sustainable propylene: A comparison of current and future production pathways","authors":"Parsa Shirzad, Ivan Kantor","doi":"10.1016/j.rset.2024.100099","DOIUrl":"10.1016/j.rset.2024.100099","url":null,"abstract":"<div><div>Propylene, a fundamental chemical, has witnessed a significant surge in demand in recent decades, establishing itself as the second most primary intermediate compound after ethylene. Propylene manufacturing currently depends on non-renewable resources, specifically naphtha or propane from fossil sources. The conventional methods are economically feasible and mature; however, they emit greenhouse gases and consume non-renewable resources. Therefore, it is necessary to transition to more sustainable production methods. This review aims to provide and analyze many possible routes for the production of propylene using sustainable resources. The categorization of these pathways is determined by the raw material employed for the manufacture of propylene. Out of the several paths considered, bio-propane dehydrogenation stands out as a viable option for producing propylene in the future. Furthermore, this study examines and reports on the analysis of catalyst selection, the design of operating conditions, and the yield and selectivity of propylene in each pathway. Zeolite-based catalysts, particularly ZSM-5, exhibit remarkable selectivity in propylene synthesis across several processes. To fully comprehend the sustainability and feasibility of these paths, this research also reviews environmental impact and techno-economic metrics of several established propylene production methods.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"7 ","pages":"Article 100099"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-10DOI: 10.1016/j.rset.2024.100097
Nicholas Saddari, Nana Sarfo Agyemang Derkyi, Forson Peprah
The unreliable power supply, high cost of electricity and non-payment of electricity bills among the state-owned hospitals in Ghana badly affects health services delivery. Meanwhile, hospitals can obtain reliable electricity and reduce their bills using rooftop solar PV systems technology, yet little attention has been given to this in Ghana. This study aims to technically and economically assess the feasibility and viability of implementing rooftop solar PV electricity under the net metering programme that Ghana recently adopted for hospitals. The study uses a case study (Sunyani Teaching Hospital) through empirical technical assessment (Google Earth Pro software, load profiles and grid connection option) and engineering econometrics (Net present value - NPV, Internal rate of return - IRR, Discounted payback period - DPP and profitability index - PI) to arrive at its conclusion. The technical results show that the Sunyani Teaching Hospital has a total installed load of 297,471 kW and an annual energy demand of 1,493,326 kWh. The proposed PV plant can produce about 9,418,145 kWh of energy per year. The economic results show an NPV of GHS 64.09 million, IRR of 34 %, PI of 2.4, and DPP of 4 years for the system configuration without battery storage, while an NPV of GHS 61.21 million, IRR of 28 %, PI of 2.3, and DPP of 4 years for the system configuration with 10 % battery storage capacity. The solar PV system's resultant annual carbon dioxide savings from the study is 8,005,423.34 kg, while a 200,135,588.38 kg carbon reduction can be achieved in the project's lifetime. The economic evaluation of the proposed solar PV microgrid using carbon credit resulted in higher profitability. An NPV of GHS 72.89 million, IRR of 36 %, PI of 2.6, and DPP of 4 years were realized by considering carbon credit in the analysis of the system configuration without battery storage. At the same time, the system configuration with 10 % battery storage capacity has an NPV, IRR, PI, and DPP of GHS 70.04 million, 32 %, 2.5, and 4 years, respectively. The results show that the net present values for cases with 50 % storage, and 100 % storage are GHS 70.0 million, GHS 58.6 and GHS 44.4 million, respectively. Similarly, IRRs 32 %, 22 % and 14 % were obtained in the order of the above cases. Again, the PI obtained are 2.5, 2.0, and 1.6 in order of the above cases, and lastly, the period for the investment recovery is 4 years, 5 years, and 6 years, respectively. The results indicate that hospitals in developing countries can leverage on rooftop solar PV system to enhance their health services delivery.
{"title":"Technical and Economic analysis of solar PV electricity generation under the net metering scheme at Sunyani Teaching Hospital (STH), Ghana","authors":"Nicholas Saddari, Nana Sarfo Agyemang Derkyi, Forson Peprah","doi":"10.1016/j.rset.2024.100097","DOIUrl":"10.1016/j.rset.2024.100097","url":null,"abstract":"<div><div>The unreliable power supply, high cost of electricity and non-payment of electricity bills among the state-owned hospitals in Ghana badly affects health services delivery. Meanwhile, hospitals can obtain reliable electricity and reduce their bills using rooftop solar PV systems technology, yet little attention has been given to this in Ghana. This study aims to technically and economically assess the feasibility and viability of implementing rooftop solar PV electricity under the net metering programme that Ghana recently adopted for hospitals. The study uses a case study (Sunyani Teaching Hospital) through empirical technical assessment (Google Earth Pro software, load profiles and grid connection option) and engineering econometrics (Net present value - NPV, Internal rate of return - IRR, Discounted payback period - DPP and profitability index - PI) to arrive at its conclusion. The technical results show that the Sunyani Teaching Hospital has a total installed load of 297,471 kW and an annual energy demand of 1,493,326 kWh. The proposed PV plant can produce about 9,418,145 kWh of energy per year. The economic results show an NPV of GHS 64.09 million, IRR of 34 %, PI of 2.4, and DPP of 4 years for the system configuration without battery storage, while an NPV of GHS 61.21 million, IRR of 28 %, PI of 2.3, and DPP of 4 years for the system configuration with 10 % battery storage capacity. The solar PV system's resultant annual carbon dioxide savings from the study is 8,005,423.34 kg, while a 200,135,588.38 kg carbon reduction can be achieved in the project's lifetime. The economic evaluation of the proposed solar PV microgrid using carbon credit resulted in higher profitability. An NPV of GHS 72.89 million, IRR of 36 %, PI of 2.6, and DPP of 4 years were realized by considering carbon credit in the analysis of the system configuration without battery storage. At the same time, the system configuration with 10 % battery storage capacity has an NPV, IRR, PI, and DPP of GHS 70.04 million, 32 %, 2.5, and 4 years, respectively. The results show that the net present values for cases with 50 % storage, and 100 % storage are GHS 70.0 million, GHS 58.6 and GHS 44.4 million, respectively. Similarly, IRRs 32 %, 22 % and 14 % were obtained in the order of the above cases. Again, the PI obtained are 2.5, 2.0, and 1.6 in order of the above cases, and lastly, the period for the investment recovery is 4 years, 5 years, and 6 years, respectively. The results indicate that hospitals in developing countries can leverage on rooftop solar PV system to enhance their health services delivery.</div></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"6 ","pages":"Article 100097"},"PeriodicalIF":0.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-14DOI: 10.1016/j.rset.2024.100096
S. Osorio , I. Dyner , E.A. Sanint , A.J. Aristizábal
Over the past few decades, there has been significant development in actions aimed at global energy transition, with the goal of reducing greenhouse gas emissions. The energy sector plays a significant role in this endeavor, contributing 76% of the world's total emissions. Considering electrification as an alternative promotes the deployment of technologies that use renewable sources, such as wind energy in coastal and offshore areas. In Colombia, wind energy alone has an accumulated technical potential of approximately 82 GW, mainly concentrated along the northeastern coast. Exploiting this technology enables the development of the national electrical system, reducing dependence on hydroelectric generation, strengthening the system against climate seasonality by ensuring supply security, environmental sustainability, and equitable energy access. Supported by system dynamics modeling, this paper presents four scenarios that explore possible futures for wind capacity deployment in Colombia between 2020 and 2050. It considers uncertainties in political and economic domains, as well as crucial national factors such as social acceptance, supply chain development, and transmission infrastructure. Favorable alignment of these factors towards wind diffusion could lead to nearly 29 GW of installed capacity by 2050, representing 40% of the projected total capacity of the electricity sector.
{"title":"Scenarios for wind capacity deployment in Colombia by 2050: A perspective from system dynamics modeling","authors":"S. Osorio , I. Dyner , E.A. Sanint , A.J. Aristizábal","doi":"10.1016/j.rset.2024.100096","DOIUrl":"10.1016/j.rset.2024.100096","url":null,"abstract":"<div><p>Over the past few decades, there has been significant development in actions aimed at global energy transition, with the goal of reducing greenhouse gas emissions. The energy sector plays a significant role in this endeavor, contributing 76% of the world's total emissions. Considering electrification as an alternative promotes the deployment of technologies that use renewable sources, such as wind energy in coastal and offshore areas. In Colombia, wind energy alone has an accumulated technical potential of approximately 82 GW, mainly concentrated along the northeastern coast. Exploiting this technology enables the development of the national electrical system, reducing dependence on hydroelectric generation, strengthening the system against climate seasonality by ensuring supply security, environmental sustainability, and equitable energy access. Supported by system dynamics modeling, this paper presents four scenarios that explore possible futures for wind capacity deployment in Colombia between 2020 and 2050. It considers uncertainties in political and economic domains, as well as crucial national factors such as social acceptance, supply chain development, and transmission infrastructure. Favorable alignment of these factors towards wind diffusion could lead to nearly 29 GW of installed capacity by 2050, representing 40% of the projected total capacity of the electricity sector.</p></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"6 ","pages":"Article 100096"},"PeriodicalIF":0.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667095X24000205/pdfft?md5=5f710d9ac6602d3167f1f676ede6d60f&pid=1-s2.0-S2667095X24000205-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142244076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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