Contribution Of Renewable Energy Research Articles

The application of equilibrium optimizer for solving modern economic load dispatch problem considering renewable energies and multiple-fuel thermal units

This study presents a modern version of the economic load dispatch (MELD) problem with the contribution of renewable energies and conventional energy, including wind, solar and thermal power plants. In the study, reduction of electricity generation cost is the first priority, while the use of multiple fuels in the thermal power plant is considered in addition to the consideration of all constraints of power plants. Two meta-heuristic algorithms, one conventional and one recently published, including Particle swarm optimization (PSO) and Equilibrium optimizer (EO), are applied to determine the optimal solutions for MELD. A power system with ten thermal power plants using multiple fossil fuels, one wind power plant, and three solar power plants is utilized to evaluate the performance of both PSO and EO. Unlike other previous studies, this paper considers the MELD problem with the change of load demands over one day with 24 periods as a real power system. In addition, the power generated by both wind and solar power plants varies at each period. The results obtained by applying the two algorithms indicate that EO is completely superior to PSO, and the solutions found by EO can satisfy all constraints. Particularly in Case 1 with different load demand values, EO achieves better total electricity production cost (TEGC) than PSO by 0.75%, 0.87%, 0.13%, and 0.45% for the loads of 2400 MW, 2500 MW, 2600 MW and 2700 MW. Moreover, EO also provides a faster response capability over PSO through the four subcases although EO and PSO are run by the same selection of control parameters. In Case 2, the high efficiency provided by EO is still maintained, though the scale of the considered problem has been substantially enlarged. Specifically, EO can save $51.2 compared to PSO for the minimum TEGC. The savings cost is equal to 0.33% for the whole schedule of 24 hours. With these results, EO is acknowledged as a favourable search method for dealing with the MELD problem. Besides, this study also points out the difference in performance between a modern meta-heuristic algorithm (EO) and the classical one (PSO). The modern metaheuristic algorithm with special structure is highly valuable for complicated problem as MELD.

Threshold nonlinear relationship between renewable energy consumption and agriculture productivity: the role of foreign direct investment and financial inclusion

Global warming is a life-threatening risk to mankind and its survival; to combat this risk, the considerable contribution of renewable energy cannot be overlooked for sustainable growth globally. The aim of this paper is to scrutinize the threshold level and asymmetric connection among renewable energy consumption, foreign direct investment, financial inclusion, and agricultural productivity in dissimilar regimes of the different income levels of 123 countries from 1995 to 2019 by applying an advance technique PSTR (panel smooth transition regression) model. The PSTR model results imply that the connection between renewable energy consumption and agricultural productivity at all the estimates is non-linear. Moreover, in all countries, there is a positive and significant connection among renewable energy consumption, foreign direct investment, financial inclusion, and agricultural productivity in both low and high regimes, except the carbon emission, which has a negative and significant impact on agricultural productivity. Based on the results of this study, the recommendations are as follows: (i) to increase renewable energy consumption, efficient-energy resources should be used by farmers for the agricultural process; (ii) the dependence on non-renewable energy resources should be minimized and shifted towards natural and renewable resources.

Overviewing Global Surface Temperature Changes Regarding CO2 Emission, Population Density, and Energy Consumption in the Industry: Policy Suggestions

The focus of this study is to investigate the causal relationships between global surface temperature changes and various relevant economy-related factors and to provide a clearer regime for authorities. The study reveals that the growth rate of production-based CO2 productivity and energy consumption in industrial, service, and transport sectors positively correlates with global surface temperature changes, aggravating the problem in the long run. However, it is evident that, on the one hand, the energy efficiency of industrial and service sectors needs to be highly scrutinized to address the mitigation issues of global surface temperature change. On the other hand, the contributions of the agricultural and transport sectors are not obvious due to their bidirectional causal relationships with respect to global surface temperature changes. Thus, improving energy efficiency and consumption in these sectors should also be a significant concern. Furthermore, the study highlights the positive causal relationship between population density and the contribution of renewable energy to global surface temperature change. Although population density aggravates the issue, the use of renewable energy confronts it. The contribution from empirical evidence presented in this study emphasizes the need for industries to improve their energy efficiency and consumption in order to mitigate global surface temperature changes.

Business Strategy Proposal for Solar Energy EPC Company

Catur Elang Energi (CEE), as one of the business diversifications of PT. Catur Elang Perkasa was established in 2020 to support Indonesian government to increase the new and renewable energy contribution in Indonesia by providing EPC (Engineering, Procurement, Construction) service for roof top solar power plant. In 2022, revenue generated from their operations is not good enough to achieve the target given by management. This research conducted to know the external and internal factor and propose strategy to improve CEE performance. This study further analyzes how the company runs its business from an external and internal perspective. This study uses external analysis such as PESTEL analysis, Porter’s five forces, and competitor analysis. Moreover, there are also internal analysis such as Segmenting, Targeting Positioning (STP) analysis, Marketing Mix. Then a further analysis was conducted by using a SWOT analysis to determine the strengths, weaknesses, opportunities, and threats of Catur Elang Energi business. Business Model Canvas used to define and communicate Catur Elang Energi business and TOWS Matrix will help Catur Elang’s develop its business and sales. the recommendation given include product development for solar energy related product, promotional campaign, developing agent network, and partnership with financial institution. Strategy implementation in the form of Gantt chart also made based on recommendation that can be implemented by PT. Catur Elang Perkasa.

Engineering management for Assessment of Solar Energy Development (case study of Jordan)

The renewable energy sector in Jordan is rapidly growing as the government is committed to reducing the country's dependence on fossil fuels and increasing the contribution of renewable energy to its energy mix. However, the effective management of renewable energy projects requires a unique set of skills and expertise that is different from traditional engineering management. The agreement between solar energy yield and electricity demand is compared in terms of daily, monthly and yearly patterns. A special focus is oriented towards the current status of solar energy projects in Jordan area in terms of their sizes, reliability, feasibility and challenges. Finally, concerning the future plans of solar energy in Irbid area, a road map will be introduced to trigger the decision makers to convert Irbid to a green governorate in the next decade and examines the key skills and competencies required for engineering managers to succeed in the renewable energy sector in Jordan, including technical expertise, project management skills, financial and business acumen, and strong communication and leadership skills.

The identity trap of community renewable energy in France

Although growing in number, the contribution of Community Renewable Energy (CRE) organizations to the Grand Challenge of energy transition remains small in volume. Scholars have attempted to explain and understand why CRE organization may not want or be able to scale up and highlighted the role of both exogenous and endogenous factors. This paper contributes to this work by analysing how organizational identity (OI) influences CRE organizations’ scaling strategy. Building on both OI literature and institutional logic literature, we formulate hypotheses about the relationships between OI and scaling strategies. To test these hypotheses, we conducted a survey among members of French CRE organizations. Results provide evidence that there is a high consensus among CRE members about what CRE OI is and that few members aspire their organization to change. We also show that a limited membership base would prioritize scaling strategies that are likely to increase institutional complexity. We summarize these results by arguing that French CRE organizations are facing an identity trap that limits their scaling potential. We discuss how CRE organization could escape this identity trap. Above its contribution to current scholarly debates on CRE organizations scaling potential, this research has implications for policy makers and CRE organizations.

The Contribution of Renewable Energy to International Security: A Preliminary Study

The world is experiencing a process of energy transition from fossil fuels to renewables. Such a transition is pushed by the necessity to face a global environmental challenge like climate change as well as pulled by constant research for reliable, affordable and sustainable energy security strategies. The energy transition will progressively introduce important changes in the geopolitical sphere, thus challenging some of the assumptions ruling the contemporary system of international relations. Among them, a critical issue is if the development of a renewable energy system would reduce or increase the risks of conflict. This preliminary study, which is based on a qualitative assessment of the available academic literature, examines the impact that a growing use of renewables might have in the framework of international security. The main conclusion is that renewables might give a positive contribution to international security by reducing the dependency system characterizing the current trade of hydrocarbon resources, mitigating the “resource curse” of energy exporting countries, and reducing greenhouse gas emissions, thus moderating the insurgence of all those risks associated with climate change.       Key words: Energy transition; renewables; energy security; resource curse; international security.

Optimal Localization of Wind Turbines Using the Weighted Overlay Model by Application to the Red Sea Governorate by ArcMap 10.3 Program

Egypt currently has a high reliance on wind energy, as it only accounts for 12% of the total 20% of electricity produced by renewable sources. Due to the availability of the necessary resources and sites to establish wind energy at Egypt's level, it is necessary to give wind energy priority and increase dependence on it. To do this, it is necessary to develop a model for determining the regions that are suitable for locating wind farms, taking into account a number of variables, in order to make effective use of this resource and use it as a guide when locating wind energy projects in Egypt in the future, which aims to reduce greenhouse gas emissions to address the issue of climate change and progressively wean the world off of reliance on conventional energy sources by reaching the proportion of the contribution of renewable energy to 42% of the total electrical energy Product in 2035 (Mariel, Meyerhoff , & Hess, 2014). Through a proposed form, the research will highlight the key factors to take into account when choosing wind turbine locations, and the GIS application will be used to create the form and eliminate any maps.

Contribution of renewable energies in the energy supply of the electricity compagny of Guinea: case of the kaleta power plant.

Contribution of renewable energies in the energy supply of the electricity compagny of Guinea: case of the kaleta power plant.

Is there convergence in renewable energy deployment? Evidence from a new panel unit root test with smooth and sharp structural breaks

This study examines whether the contribution of renewable energy to the total primary energy supply converges in a panel of 24 OECD countries over the period 1960–2020. To this end, a new panel unit root test that allows for both sharp and smooth breaks is proposed to test for the stochastic convergence hypothesis. Although renewable energy convergence is not rejected when the newly proposed test is applied to the full panel of OECD countries, it found only moderate support within the members of the panel using a sequential panel selection methodology. In fact, in two high-income OECD countries, the contribution of renewable energy to the primary energy supply shows no sign of convergence: Poland and Iceland. Therefore, the renewable energy shares seem to be converging to a common steady state in only a group of OECD countries over the long run. This uneven pattern of convergence, in turn, suggests that the OECD countries are still far away from developing a common sustainable renewable energy target, calling for urgent international policy cooperation to encourage the divergent economies to seek out the menu of policies that ensure the worldwide success of renewable energy transformation.

Energy Contour Forecasting Optimization with Smart Metering in Distribution Power Networks.

Smart metering systems development and implementation in power distribution networks can be seen as an important factor that led to a major technological upgrade and one of the first steps in the transition to smart grids. Besides their main function of power consumption metering, as is demonstrated in this work, the extended implementation of smart metering can be used to support many other important functions in the electricity distribution grid. The present paper proposes a new solution that uses a frequency feature-based method of data time-series provided by the smart metering system to estimate the energy contour at distribution level with the aim of improving the quality of the electricity supply service, of reducing the operational costs and improving the quality of electricity measurement and billing services. The main benefit of this approach is determining future energy demand for optimal energy flow in the utility grid, with the main aims of the best long term energy production and acquisition planning, which lead to lowering energy acquisition costs, optimal capacity planning and real-time adaptation to the unpredicted internal or external electricity distribution branch grid demand changes. Additionally, a contribution to better energy production planning, which is a must for future power networks that benefit from an important renewable energy contribution, is intended. The proposed methodology is validated through a case study based on data supplied by a real power grid from a medium sized populated European region that has both economic usage of electricity-industrial or commercial-and household consumption. The analysis performed in the proposed case study reveals the possibility of accurate energy contour forecasting with an acceptable maximum error. Commonly, an error of 1% was obtained and in the case of the exceptional events considered, a maximum 15% error resulted.

Hong Kong's “future” energy transition-digitalization-financialization triangle: Actors and impacts

<h2>Abstract</h2> Decentralized renewable energy installations, such as home or building solar PV, can be funded through digital fintech instruments, such as via peer-to-peer trading. This is an innovation merging two different sectors: energy and finance. But who could be the actors in this new ecosystem? How is this blending of the digital or the fintech and the renewable energy sectors perceived? This talk highlights on Hong Kong, a global financial centre, as it seeks to become an international hub for green finance and expand renewable energy contributions in its energy mix. Reporting the outcome of an expert elicitation work, the talk describes a prospective actor/institution landscape of this emergent ecosystem. We found that not only energy and finance actors will most likely be engaged in this innovation, but also those in the technology and research sectors. The general public is also seen as a key actor. The talk also surfaces expert perceptions on the possible impacts of this innovation on Hong Kong. This includes new opportunities for citizen participation in energy transition as these new investment vehicles are made available. The innovation, however, is challenged by Hong Kong's distinct electricity market regime and lack of space for technology deployment.

Grid connected hybrid renewable energy systems for urban households in Djibouti: An economic evaluation

The cost of electricity produced by thermal power plants in Republic of Djibouti is relatively high at about $0.32/kWh. This is due to its dependence on imported oil coupled with fluctuating oil prices. Consequently, the customer pays a high electricity bill. However, Djibouti is endowed with indigenous renewable energy resources such as a good solar irradiance of 5.92 kWh/ m2 day, a potential geothermal energy estimated up to 1000 MW, and few sites with annual wind speed higher than 6 m/s. The goal of this paper is, therefore, to assess an economic evaluation of different grid connected hybrid renewable energy systems to a residential urban house located in Tadjourah city (11.7913° N, 42.8796° E) in the North-Eastern part of Djibouti to reduce the cost of electricity from the grid. To reach this objective, a powerful software tool called HOMER (Hybrid Optimization Model for Electric Renewables) has been used to find the optimum hybrid energy system using real wind and solar irradiation data. The results obtained from this study show that the best economical suited combination of hybrid renewable energy system is a PV-Wind grid connected system. This study shows also that potentially the indigenous renewable energy contribution, in Tadjourah, can be as much as 77 % with 47 % of solar and 30% of Wind energy. The Net Present Cost, the Levelized Cost of Energy, and the operating cost of the optimal HRES are $337, $0.002/kWh and $1,025/year, respectively. When compared with the average cost of grid-only connection of $0.32/kWh, the optimal hybrid renewable energy system is more economical and will save 51 % of the cost that the customer must pay when using only the electricity from the grid.

An exploration of the contribution of renewable energy to sustainability and the betterment of socioeconomic conditions in India

An exploration of the contribution of renewable energy to sustainability and the betterment of socioeconomic conditions in India

Relationship between Information and Communication Technologies and Sustainable Development: Fresh Evidence from Group of Seven (G-7) Countries

There is ongoing discussion about the use of information and communication technologies (ICT) to promote sustainable development. While one side fiercely advocates using ICT technologies to drive and carry out sustainable development, others passionately struggle to highlight their many drawbacks. The present study adds to ongoing discussion by estimating the effect of ICT on sustainable development in G-7 economies over 1995-2020 period, which is an unreached area in the literature. The study also holds its novelty by considering Adjusted Net Savings (ANS) for measurement of sustainable development. As cross sectional dependence (CSD) and slope heterogeneity are present in data, second-generation panel estimation technique Cross sectional Augmented Distributed Lag Model (CS-ARDL) is used for the long run and the short run estimation. The findings assert that ICT technologies have positive effect on sustainable development in G-7 countries. In addition, the study also finds the positive contribution of renewable energy and negative contribution on non-renewable energy in sustainable development of the selected countries. The study recommends the governments to adopt effective policies to implement and improve infrastructure quality in terms of digital technologies to achieve sustainable development in selected economies.

Rural Electrification and the Uptake of Renewable Energy in Nigeria: Lessons from Kenya

Recent technology advancements have brought to the fore the role renewable energy can play in providing timely access to clean and affordable energy in the rural areas. Although rural electrification programme in Nigeria aims at harnessing renewable energy resources for improved electricity access, the contribution of renewable energy has remained marginal till date. The aim of this paper is to identify barriers to the uptake of renewable energy for improved access to electricity in the rural areas. The paper finds that inadequate funding of rural electrification programme, high initial costs of renewable energy technology, absence of community participation coupled with the absence of a body with specific mandate to promote the use of renewable energy for rural electrification are major barriers to the rural application of renewable energy. Failure of Nigeria to address the issues will have implications for electricity access in the rural areas.

Achieving Carbon Neutrality Pledge through Clean Energy Transition: Linking the Role of Green Innovation and Environmental Policy in E7 Countries

Most countries, notably those that signed the Paris Climate Agreement, prioritize achieving the zero carbon or carbon neutrality aim. Unlike earlier studies, this one assesses the contribution of environmental policy, clean energy, green innovation, and renewable energy to the E7 economies’ achievement of carbon neutrality goals from 1990 to 2019. Findings emanating from the study show that the EKC hypothesis is valid in E7 countries. Implying that emissions in the E7 countries increased with the kick-off of development but declined later due to possible potent environmental regulatory policies put in place. Similarly, across all models, renewable energy (REN), green innovations (GINNO), environmental tax (ETAX), and technological innovations (TECH) were found to exert a negative and significant impact on carbon emissions in the E7 countries both in the short and long run. On the other hand, economic expansion (GDP) positively impacts environmental deterioration. Furthermore, the country-specific result shows that, on average, Brazil, India, China, Russia, Mexico, and Indonesia have significant environmental policies aiding carbon abatement. Except for Brazil, Mexico, and Indonesia, the income growth in the rest of the countries does not follow the EKC proposition. Furthermore, the causality result revealed a unidirectional causal relationship between GDP, REN, and GINNO to CO2 emission. No causality was found between ETAX with CO2, while a bi-directional causality exists between technology and CO2 emissions. Based on the finding, policymakers in the E7 countries should move away from fossil fuels because future electricity output will not be sufficient to reduce emissions considerably. Environmental regulations, encouraging technological innovation, adopting green and sustainable technology, and clean energy sources, among other things, demand radical and broad changes.

Transition from traditional energy to renewable energy: assessment of the contribution of renewable energy in greenhouse gas emissions reduction on the example of the Yereimentau wind farm

Kazakhstan has a high potential for creating international-class green energy, but at the moment alternative energy resources are used in a small amount due to various technical, administrative, social and economic obstacles. This work is devoted to the analysis of the share of renewable energy generated in the total volume of electricity production in Kazakhstan, the amount of electricity produced by renewable energy facilities is estimated. Also in this paper, an assessment of greenhouse gas emissions reductions was carried out on the example of the largest wind power plant in Kazakhstan with a capacity of 45 MW in the city of Yerementau. The share of renewable energy sources in the country’s energy balance was estimated by comparison. The annual data on the generation of electric energy by renewable energy facilities for 2016-2021 are compared according to the statistical data of the Republic of Kazakhstan. A methodological approach to the calculation of greenhouse gas emissions reductions based on a baseline scenario is proposed, which can be used as a methodology for calculating greenhouse gas emissions reductions at renewable energy facilities. Assessment of reductions in greenhouse gas emissions as a result of the implementation of renewable energy projects is important both for calculating the national carbon balance of the country as a&nbsp;whole and for accurately calculating the units of reductions planned to be issued as a result of the implementation of these projects. The Yerementau wind power plant will help the Republic of Kazakhstan in achieving the goals set ahead – increasing the share of renewable energy sources and reducing carbon dioxide emissions. Key words: renewable energy sources (RES), emission reduction, wind power, greenhouse gases, emission factor.

Economic-Environmental Study on Hybrid System of Photovoltaic, Wind, Diesel, Biomass for Off-Grid Rural Electrification in Sebesi Island, Indonesia

Indonesia, as an archipelagic country, has many small islands. One of the islands studied in the study is Sebesi Island, Indonesia. Diesel Generators (DG) are used to supply electricity needs in the short term. Sebesi Island has local energy potential such as Solar, Wind, and Biomass energy. DG can combine the local energy potential. The capacity of the photovoltaic (PV) system at Homer is expected to serve 50% of the total daily energy needs. Eight scenarios have been made based on the energy potential available to assess the most economical and environmentally optimal energy hybrid. The simulation results show that the first case and the second case have the best economic value. The first case is a hybrid system of DG, PV, and battery (BAT). The second case is a hybrid of DG, PV, Biogas Generation (GBi), and BAT. The first case has a contribution of 50%, while the second case has 71%. From an environmental perspective, the second scenario can reduce CO2 emissions the highest compared to other cases, 29.50%. The second scenario is the best choice to implement a hybrid energy system with a renewable energy contribution of 71%.

Green energy investment, renewable energy consumption, and carbon neutrality in China

This study investigates the dynamic impact of green energy investment and energy consumption on carbon emissions in China from 1995 to 2020. It employed the Bootstrap Autoregressive Distributed Lag method to examine the short and long-run relationship. The long-run findings indicate that green energy investment and renewable energy consumption decrease carbon emissions, whereas non-renewable energy consumption and economic growth increase carbon emissions in shorter and longer periods. The long-term reduction in carbon emissions may imply the transition toward carbon neutrality. However, the marginal contribution of renewable energy towards carbon neutrality is significantly higher than green energy investment due to investment lag effects. Moreover, the Error Correction Term (ECT) is significantly negative, authorizing the convergence towards steady-state equilibrium in case of any deviation with a 25% adjustment rate. The empirical results suggest that China should encourage green energy investment and increase the share of renewable energy sources to ensure carbon neutrality in the long run.