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The article describes the world's experience in developing the solar industry. It discusses the mechanisms of state support for developing renewable energy sources in the cases of five countries that are the most successful in this area—China, the United States, Japan, India, and Germany. Furthermore, it contains a brief review of state policy in producing electricity by renewable energy facilities in Kazakhstan. This paper uses statistical information from the International Renewable Energy Agency (IRENA), the International Energy Agency (IEA), British Petroleum (BP), and the Renewable Energy Network (REN21), and peer-reviewed sources. The research methodology includes analytical research and evaluation methods to examine the current state of solar energy policy, its motivators and incentives, as well as the prospects for its development in Kazakhstan and in the world. Research shows that solar energy has a huge development potential worldwide and is sure to take its place in gross electricity production. This paper focuses on the selected economic policies of the top five countries and Kazakhstan, in what may be considered a specific research limitation. Future research suggestions for the expansion of Renewable Energy (RE) in Kazakhstan could include analysing the impact of introducing dedicated policies and incentives for solar systems and exploring the benefits and challenges of implementing large RE zones with government–business collaboration.
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The objective of the study was to identify the impact of renewable energy on Saudi economy during 2000-2021. Analytical techniques were used to conduct this study. An analysis of the study used a set of variables, in which Renewable energy perceives as independent variable and the dependent variables are GDP per capita, net foreign direct investment, unemployment, fixed capital formation, and net foreign trade. The data of the study were analyzed using the E-views program. According to the study, renewable energy has an impact on certain economic variables and does not have an impact on others. A partial validity is found for the study's central hypothesis. According to our findings, renewable energy contributes significantly to net foreign direct investment, unemployment, and fixed capital formation, but not to GDP per capita, net foreign trade, or fixed capital formation.
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When it comes to supplying oxygen, current standard hospitals in Iran have proven inadequate in the face of the COVID-19 pandemic, particularly during infection peaks. Power disruptions drastically reduce the oxygen pressure in hospitals, putting patients' health at risk. The present study is the first to attempt to power an oxygen concentrator with a solar-energy-based system. The HOMER 2.81 package was used for technical–economic–environmental–energy analysis. The most notable aspects of this work include evaluating different available solar trackers, using up-to-date equipment price data and up-to-date inflation rate, considering the temperature effects on solar cell performance, sensitivity analysis for the best scenario, considering pollution penalties, and using a three-time tariff system with price incentives for renewable power. The study has been carried out at Hajar Hospital, Shahrekord, Chaharmahal and Bakhtiari Province, Iran. The study showed that, by supplying 60% of the power demand, the dual-axis solar tracking system offered the highest annual power output (47,478 kWh). Furthermore, generating power at—$0.008/kWh due to selling power to the grid, the vertical-axis tracker was found to be the most economical design. Comparing the configuration with a vertical-axis tracker with the conventional scenario (relying on the power distribution grid), the investment is estimated to be recovered in three years with $234,300 in savings by the end of the 25th year. In the best economic scenario, 6137 kg CO2 is produced, and the analysis revealed the negative impact of a temperature rise on the performance and solar power output.
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Many students all over the world have faced some educational issues due to the Covid-19 epidemic. As a consequence, many educational institutes focused on shifting to an E-learning system. This paper introduces a design and implementation steps of a remotely controlled experiment representing a smart hydro energy storage and irrigation system with monitoring capability using photovoltaic power and the Internet of Things (IoT). The experiment is running within the newly proposed Laboratory Learning Management System (LLMS). The remotely controlled experiment is a smart hydro energy storage and irrigation system, where the stored water during the daytime is used at night for smart irrigation of three different types of plants based on the moisture and temperature, in addition to the amount of water that the user sets for every area. In this experiment, during the daytime, the utilities are feeding from the solar panel and battery, but at night, the utilities are feeding from the battery or the hydro turbine that converts the water potential energy to electric energy. The overall Experiment is controlled using IoT sensors and relays which are connected and driven by the parameters that the user sets and can be communicated with the system using the Internet which allows the system to be proactive and take the needed decision in the right time. The main contribution of this system's experiment is the pumping of underground water in irrigation using a renewable and clean energy source, in addition to controlling the systems using IoT through the proposed LLMS. © 2022 IEEE.
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Developing a sustainable and reliable photovoltaic (PV) energy system requires a comprehensive analysis of solar profiles and an accurate prediction of solar energy performance at the study site. Installing the PV modules with optimal tilt and azimuth angles has a significant impact on the total irradiance delivered to the PV modules. This paper proposes a comprehensive optimization model to integrate total irradiance models with the PV temperature model to find the optimal year-round installation parameters of PV modules. A novel integration between installation parameters and the annual average solar energy is presented, to produce the maximum energy output. The results suggest an increase in energy yields of 4% compared to the conventional scheme, where tilt angle is equal to the latitude and the PV modules are facing south. This paper uses a real-time dataset for the NEOM region in Saudi Arabia to validate the superiority of the proposed model compared to the conventional scheme, but it can be implemented as a scheme wherever real-time data are available.
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PurposeThis study aims to examine the ability of clean energy stocks to provide cover for investors against market risks related to climate change and disturbances in the oil market.Design/methodology/approachThe study adopts the feasible quasi generalized least squares technique to estimate a predictive model based on Westerlund and Narayan's (2015) approach to evaluating the hedging effectiveness of clean energy stocks. The out-of-sample forecast evaluations of the oil risk-based and climate risk-based clean energy predictive models are explored using Clark and West's model (2007) and a modified Diebold & Mariano forecast evaluation test for nested and non-nested models, respectively.FindingsThe study finds ample evidence that clean energy stocks may hedge against oil market risks. This result is robust to alternative measures of oil risk and holds when applied to data from the COVID-19 pandemic. In contrast, the hedging effectiveness of clean energy against climate risks is limited to 4 of the 6 clean energy indices and restricted to climate risk measured with climate policy uncertainty.Originality/valueThe study contributes to the literature by providing extensive analysis of hedging effectiveness of several clean energy indices (global, the United States (US), Europe and Asia) and sectoral clean energy indices (solar and wind) against oil market and climate risks using various measures of oil risk (WTI (West Texas intermediate) and Brent volatility) and climate risk (climate policy uncertainty and energy and environmental regulation) as predictors. It also conducts forecast evaluations of the clean energy predictive models for nested and non-nested models.
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For equatorial African countries such as Rwanda the power grid in some regions is either absent or highly unreliable even though these locations are blessed with reliable solar radiation most of the time. Designing and implementing solar power systems capable of supporting micro-computer systems such as Raspberry Pi devices that can be used in educational environments is a way to overcome grid challenges while at the same time imparting valuable lessons covering Engineering, Technology, and Computing. Using Learning Engineering Sciences best practices effectively mitigates how COVID-19 that has required standard face-to-face project and learning strategies to transition to virtual or hybrid strategies that utilize Open Educational Resources (OER). These strategies include video conferencing, file sharing platforms, and messaging applications to generate learning activities, create courses to construct the learning program for training teachers in the use of OER and Raspberry Pi desktop devices. © 2023 IEEE.
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With the recent global increase in fossil energy prices post Covid-19 and the drive to enhance sustainability towards NetZero, renewable energy is becoming one of the key global technologies to power societies at an affordable cost. This paper presents a novel study in relation to solar energy use in residential dwellings in Jordan, to discuss the benefits and challenges of using domestic solar energy systems within the current context of increasing energy prices. The Self-Determination Theory and Maslow's Hierarchical Theory are discussed in-line with the findings. This study, in addition to literature review, has utilised qualitative and quantitative data collected from an on-line survey with 366 participants to investigate Jordanian consumers' energy consumption behaviour, perception of renewables, and major factors influencing solar energy adoption. The novelty of this study that it provides a bench mark of affordability for future initiatives. The Jordan Renewable Energy & Energy Efficiency Fund is currently creating several initiatives to drive the society to adopt renewable energy. The results of this study will help to identify the crucial factors that could be hindering the adoption and expansion of renewables, particularly solar energy. This work has investigated awareness, motivation, difficulties, affordability and level of satisfaction in relation to solar energy in domestic dwellings. The results of this study have shown that Jordanians believe that financial affordability and awareness are both crucial for utilising renewables. For current users of solar systems, there is an increased satisfaction in their performance levels. However, energy storage is critical for enhancing the implementation of solar energy due to the complexity of grid-connected systems and the need for off-grid installations. Therefore, if renewable energy providers and governmental bodies aim to expand the implementation of solar energy technology and enhance public engagement, then it can be suggested that they should expand the promotion process of solar energy through platforms and further initiatives that engage with the public and subsidise the cost to provide more affordable solar energy systems for residential dwellings. The aim is to decrease carbon emission, reduce energy cost and enhance sustainability towards Net Zero Carbon emission.
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In Covid19, it was observed that dehydrated commodity (fruits, vegetables, meat, etc.) was the most sustainable because of their long life and availability. The stored product market grew very fast after Covid19. It was predicted that the dehydrated circular economy would be the future of food demand and supply. The greenhouse dryer (GD) was the most economical and environmentally viable among various drying techniques. However, the problem associated with GD was low operating hours, sustainability, heat loss from the North wall, and operation after sunset. The present study incorporated a bifacial photovoltaic thermal (BIFPVT) on the roof, Lauric acid as a phase change material (PCM), and an aluminium foil-wrapped thermocol (Polystyrene foam) on the north wall of the GD as an insulation to overcome the above-said problem. The thermal efficiency of the modified greenhouse dryer was found to be lie in the range of 26–54%. In contrast, the electrical efficiency was found to be 20.1%. The integration of the thermal energy storage (TES) system runs the system even after sunset and improves the operation hours. The designed system not only makes the system self-sustainable but also mitigates 3136 kg of CO2 in its whole life span. The modified TES can further improve the thermal performance of the GD. A PCM-integrated BIFPVT greenhouse dryer is recommended for cleaner production.
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Open-source technological development is well-known for rapid innovation and providing opportunities to reduce costs and thus increase accessibility for a wide range of products. This is done through distributed manufacturing, in which products are produced close to end users. There is anecdotal evidence that these opportunities are heavily geographically dependent, with some locations unable to acquire components to build open hardware at accessible prices because of trade restrictions, tariffs, taxes, or market availability. Supply chain disruptions during the COVID-19 pandemic exacerbated this and forced designers to pivot towards a la carte-style design frameworks for critical system components. To further develop this phenomenon, a case study of free and open-source solar photovoltaic (PV) racking systems is provided. Two similar open-source designs made from different materials are compared in terms of capital costs for their detailed bill of materials throughout ten locations in North, Central and South America. The differences in economic optimization showed that the costs of wood-based racks were superior in North America and in some South American countries, while metal was less costly in Central and South America. The results make it clear that open hardware designs would be best to allow for local optimization based on material availability in all designs. © 2023 by the authors.
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The more recent crisis of the COVID-19 pandemic revealed the contemporary protocols of the Western European-American parasitic paradigm. As any scholar of the Black Radical Tradition have argued, the emergence of global capitalism is indelibly tied to the emergence of the transatlantic slave trade and is constitutive of the emergence of Black(ness)/racialization of Black people. Furthermore, the underlying assumptions of Western modernity's so-called scientific paradigm for comprehending the world, facilitates the justification of the ascendancy of whiteness in a hierarchy of being. Both racial capitalism and coloniality of being embodies the parasitism of the modern world-system that results in the dynamics of the pandemic.
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This work is motivated by the need in overcoming the electricity crisis in Gaza, which is initiated due to political reasons and the spread of COVID-19. Building quarantine centers is one of the most important means used in combating the COVID-19, but connecting these centers to the electricity distribution network at the appropriate time is not always possible and increases the burden on the local utility company. This article proposed a hybrid off-grid energy system (HES) to effectively energize the quarantine COVID-19 center in Gaza economically and environmentally. To achieve this aim, the estimated load profile of the quarantine center is fed to the HOMER-Pro program. In addition, the various systems components are introduced to the program, then modeled, and optimized. The developed approach was tested using a real case study considering realistic input data. HOMER-Pro program is used to simulate and optimize the system design. The results revealed the potential of the HES to provide environment-friendly, cost-effective, and affordable electricity for the studied quarantine center, as compared to just the diesel generators system. For the considered case study, it is found that the PV-wind-diesel generators HES can cover the connected load with the lowest cost ($ 0.348/kWh) in comparison to other possible HES structures. Taking into consideration the price of harmful emissions, the wining system shows a reduction of 54.89% of the cost of energy (CoE) compared to other systems. For the considered case study, it is found that a combination of 150 kW PV, 200 kW wind, and two diesel generators with capacities of 500 and 250 kW can hold 100% of the electrical load required to keep the quarantine COVID-19 center in operation. The initial capital cost of this HES is $510,576 where the share of wind energy, solar PV, inverter, and diesel-electric generators are $320,000, $83,076, $25,000, and $82,500, respectively. The replacemen cost ($55,918) is due to diesel generators. The total operation and maintainance cost (O&M) is $268,737, that is, 25.6% for wind turbines, 1.2% for inverters, and 70.7% for diesel electric generators. The PV/wind/diesel generators HES generate 1,659,038 kWh of electricity. The total energy requirement of 1,442,553 kWh, which means a surplus of 212,553 kWh of energy/year. The total energy (kWh) is an integration of energy sources which are 427,276 (25.8%), 274,500 (16.5%), and 857,263 (57.7%), due to wind, solar and diesel generators respectively. The cost of yearly consumed fuel is $437,828.769. The payback period for the winning system is 1.8 years. Finally, it is proved that the developed approach gives a reasonable solution to the decision-makers to find a fast, economic and reliable solution to energize the quarantine centers.
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The global greenhouse effect and air pollution problems have been deteriorating in recent years. The power generation in the future is expected to shift from fossil fuels to renewables, and many countries have also announced the ban on the sale of vehicles powered by fossil fuels in the next few decades, to effectively alleviate the global greenhouse effect and air pollution problems. In addition to electric vehicles (EVs) that will replace traditional fuel vehicles as the main ground transportation vehicles in the future, unmanned aerial vehicles (UAVs) have also gradually and more recently been widely used for military and civilian purposes. The recent literature estimated that UAVs will become the major means of transport for goods delivery services before 2040, and the development of passenger UAVs will also extend the traditional human ground transportation to low-altitude airspace transportation. In recent years, the literature has proposed the use of renewable power supply, battery swapping, and charging stations to refill the battery of UAVs. However, the uncertainty of renewable power generation cannot guarantee the stable power supply of UAVs. It may even be very possible that a large number of UAVs need to be charged during the same period, causing congestion in charging stations or battery swapping facilities and delaying the arranged schedules of UAVs. Although studies have proposed the method of that employing moving EVs along with wireless charging technology in order to provide electricity to UAVs with urgent needs, the charging schemes are still oversimplified and have many restrictions. In addition, different charging options should be provided to fit the individual need of each UAV. In view of this, this work attempts to meet the mission characteristics and needs of various UAVs by providing an adaptive flight path and charging plan attached to individual UAVs, as well as reducing the power load of the renewable power generation during the peak period. We ran a series of simulations for the proposed flight path and charging mechanism to evaluate its performance. The simulation results revealed that the solutions proposed in this work can be used by UAV operators to fit the needs of each individual UAV.
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During the covid pandemic, air quality has improved due to prolonged lockdown conditions. Hence according to the international energy agency, about 22% of environmental pollution is contributed by the transportation sector. Electric vehicles help in reducing the contribution towards carbon emission and help in mitigating the fossil fuel crisis and also promotes sustainable transportation. To enhance the growth of electric vehicle, charging infrastructure and range anxiety issues in the long drive has to be resolved. This paper reviews the various charging methods available for an electric vehicle. Some charging methods are wired and wireless charging, solar-powered, battery-swapping, vehicle-to-grid and vehicle-to-vehicle charging. A comparative study of these methods is tabulated. Based on the limitation of each method the optimum charging method for a vehicle is adapted for a particular application. © 2023 IEEE.
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Detrimental environmental repercussions have recently given rise to an interest in green investments. Although solar energy stocks are appealing assets for ethical investors, little is known about their dynamic correlations and linkages with metal (silicon, lithium, and rare earth) markets, particularly during economic events which is essential for hedging effectiveness and asset allocation. This study investigates the nexus between metal markets, oil price volatility (OVX), market sentiments (VIX), and solar energy markets using DCC, ADCC models, and the quantile regression approach. The results show both symmetric and asymmetric shock spillover between metals markets, VIX, OVX, and solar energy markets which are more prominent during COVID-19 pandemic, US-China trade frictions, and Russian invasion of Ukraine. For portfolio management, the hedging effectiveness of lithium stocks is highest, followed by silicon and rare earth metals. However, the hedge ratios are time-varying, and the variability is highest during US-China trade frictions. The quantile regression estimates reveal that lithium market is the most persistent determinant of solar energy stocks followed by silicon market even after segregating the periods into Paris Agreement and COVID-19 pandemic. Thus, lithium and silicon are driving markets of solar energy markets and can be a cause of omitted variable bias if stay unobserved. Nonetheless, there is little influence of VIX, rare earth metals, and OVX on solar energy stocks. Lastly, the estimations of threshold regression suggest that market sentiments change the association between metal markets and solar energy markets after the VIX reaches a certain threshold level. © 2023
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Alternative energy alternatives to traditional energy sources like coal and fossil fuels include solar PV and wind energy conversion systems. The solar and wind energy conversion system's maximum power may be obtained by activating the converters. There are several MPPT (Maximum Power Point Tracking) regulating methods for solar and wind energy conversion systems. For solar PV energy conversion systems, this study suggests two MPPT controlling techniques: Covid-19 MPPT and FLC-based MPPT. The two MPPT methods that are suggested are put into practise using MATLAB. The first Covid-19 approach that has been developed combines aspects of hill climbing and progressive conductance methods. Calculate the direction of the perturbation for the PV modules' operation using the incremental conductance approach. The method of ascending hills is straightforward and involves fewer variables. When dI/dV equals the incremental conductance, the Maximum Power Point (MPP) is attained using the incremental conductance approach. In the hill climbing approach, the MPP is determined by comparing the power in the present and the past. Both incremental conductance and change of power are taken into account in the proposed Covid-19 MPPT regulating approach to obtain the MPP. With this hybrid approach, solar PV generates the most electricity possible under all conditions of temperature and irradiance. As a result, the planned Covid-19 technique moves forward as intended and swiftly reaches the MPP.Copyright © 2022, Anka Publishers. All rights reserved.
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Decarbonization, decentralization, and digitalization are the prominent paths for the energy sector in the future. The rise of smart meters across consumers, and industries led to a massive collection of fine-grained energy and electricity consumption-related data. A data science challenge is to analyze the Smart Meter data for the benefit of both the energy providers and the consumers. In this paper, An attempt has been made to analyze the smart meter collected from the IIT Hyderabad campus and presented the analysis into descriptive, predictive, and prescriptive analytics. The data collected from more than 50 meters over a period of one year have been analyzed and results obtained. Interesting trends such as the impact of COVID-19 on campus energy consumption have been examined. The framework for energy data analytics presented in this paper will be useful for any campus in general, and the recommendations presented will save energy expenses. © 2023 IEEE.
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Este artículo presenta una investigación educativa realizada con el objetivo de generar información sobre el uso de la biblioteca digital SolarSPELL, como una estrategia de innovación educativa para la enseñanza del cambio climático en comunidades rurales de las islas Fiyi. SolarSPELL funciona con la energía que generan sus paneles solares y brinda acceso a través de su propia red wifi;además, ofrece una variedad de recursos educativos abiertos, seleccionados por su potencial para fortalecer las prácticas educativas y el logro de los Objetivos de Desarrollo Sostenible de la Agenda 2030. Con base en la pregunta de investigación se seleccionó un estudio de caso, pues permite estudiar con intensidad un fenómeno complejo en un corto periodo de tiempo y analizar el objeto de estudio en un contexto especifico. Se aplicó el instrumento DIAPASON en las bibliotecas comunitarias o escolares que participan en el programa piloto. En los resultados se observa que la SolarSPELL coadyuva a la transformación digital de las prácticas educativas y los bibliotecarios valoran poder contar con un mayor número de recursos bibliográficos sobre el cambio climático. En la actualidad, el proyecto "Escuelas que Aprenden Post COVID-19” retomó estos resultados para realizar un piloto en comunidades rurales de Chiapas, México. En los resultados se enfatiza la necesidad de que el bibliotecario del futuro incorpore a su labor acciones enfocadas a la mejora de la calidad de la educación y que permitan potencializar el desarrollo sostenible de sus comunidades, para mejorar el conocimiento colectivo y crear conciencia sobre este fenómeno.Alternate : This article presents an educational research carried out with the aim of generating information on the use of the SolarSPELL Digital Library, as an educational innovation strategy for teaching climate change in rural communities of the Fiji Islands. SolarSPELL works with the energy generated by an integrated solar panel and provides access through its own wifi network. It offers a variety of open educational resources, selected for their potential to strengthen educational practices and the achievement of the Sustainable Development Goals of the 2030 Agenda. Based on the research question, a case study was selected, as it allows intensive study a complex phenomenon in a short period of time and analyzes the object of study in a specific context. The DIAPASON instrument was applied in the community or school libraries that participate in the pilot program. The results show that SolarSPELL contributes to the digital transformation of educational practices and the value of the librarians being able to have a greater number of bibliographic resources on climate change. Currently, the project "Schools that Learn Post COVID-19" took up these results to carry out a pilot in rural communities in Chiapas, Mexico. The results emphasize the need for the librarian of the future to incorporate into their work, actions focused on improving the quality of education that allow potentiating the sustainable development of their communities, improving collective knowledge and raising awareness about this phenomenon.
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Human activities have been limited by coronavirus disease 2019 (COVID-19), and the normal conditions of our lifestyles have changed, particularly in terms of electricity usage. The aim of this study was to investigate the impact of COVID-19 on the power sector in the Lao PDR in 2020, as well as the challenge of using solar energy to supply power to the network using an optimal approach. The returns on investment of network extension and the purchase of solar energy were also evaluated. Furthermore, load conditions caused by the country's lockdown policy were analyzed. We analyzed the optimal sizing and location of solar energy using a particle swarm optimization method based on the main objective functions, with the system's power loss decreasing and its reliability improved. The results demonstrated that the suddenly reduced load from industry and commercial business did not have a large impact on its operations;however, revenue was reduced. The optimal method for connecting solar energy to a network can reduce power loss and improve system reliability. In addition, we discovered that the location and capacity of solar generation can reduce the investment costs of extensions for new lines, with the surplus power being exported.
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Maintaining our standard of living and keeping the economy running smoothly is heavily reliant on a consistent supply of energy. Renewable energy systems create abundant energy by utilizing resources such as the sun, wind, earth, and plants. The demand for renewable energy is increasing, despite power scarcity, pollution, and climate change posing challenges to long-term development in the Association of Southeast Asian Nations (ASEAN), which has seen significant social and economic growth in recent years. To achieve its 23% renewable energy (RE) target, ASEAN can develop solar photovoltaic (PV) electricity. Members of the ASEAN have established regulations and incentives to encourage individuals and businesses to use renewable energy in the future. This paper explores Southeast Asian countries' comprehensive fossil-free energy options, the region's renewable energy potential, current capacity, goals, and energy needs. Through the ASEAN Plan of Action for Energy Cooperation (APAEC) 2016–2025 and the ASEAN Declaration on Renewable Energy, ASEAN is committed to reducing its greenhouse gas emissions and promoting sustainable development aligning with the Paris Agreement's aim to limit global warming to well below 2 degrees Celsius above pre-industrial levels. Results show that decarbonizing the region's energy system is possible, but current policies and actions must be altered to reach that target level. Further research is necessary to optimize the ASEAN region's renewable resource technical potential and commercial viability with available technology.