Sustainable Energy Strategy Research Articles

Designing effective policy frameworks for the implementation of microgrids in developing countries: Opportunities, challenges and pathways to sustainable energy access

Designing effective policy frameworks for the implementation of microgrids in developing countries is crucial for advancing sustainable energy access. Microgrids offer a decentralized and resilient solution to energy challenges, particularly in regions with limited grid infrastructure. However, the successful deployment of microgrids requires a nuanced understanding of the opportunities, challenges, and pathways to integration within the unique contexts of developing nations. This study explores the key factors influencing the design and implementation of microgrid policies, including regulatory environments, financial incentives, and technological innovations. It highlights the potential of microgrids to enhance energy security, reduce carbon emissions, and support economic development. At the same time, it addresses the challenges related to financing, regulatory compliance, and the need for capacity-building in local communities. By analyzing case studies from various developing countries, the study identifies best practices and strategic recommendations for policymakers to create supportive frameworks that encourage the adoption of microgrids. The research underscores the importance of international collaboration, public-private partnerships, and adaptive policy mechanisms that can respond to the evolving needs of the energy sector. Ultimately, the study provides a roadmap for leveraging microgrids as a key component of sustainable energy strategies in developing countries, contributing to broader goals of energy equity, environmental sustainability, and economic resilience.

The charcoal footprint of greater Accra on the Afram Plains: Urban energy consumption and forest degradation in Ghana

Rapid urbanisation in sub-Saharan Africa is leading to increased energy consumption and a growing reliance on charcoal as a fuel source, with significant environmental implications. This study examines the impact of charcoal consumption in Greater Accra, Ghana, on the Afram Plains ecosystem. Employing a mixed-methods approach, including geographical analysis, quantitative data collection, and sustainability assessment, we evaluate the charcoal footprint of Greater Accra. Our findings reveal that charcoal remains the dominant cooking fuel in Greater Accra despite increased access to electricity, resulting in an estimated loss of 354,479 trees annually in the Afram Plains. This demand creates an ecological deficit of 18,850 hectares/yr, significantly exceeding the ecosystem's regenerative capacity. We observe complex dynamics between urban energy needs and rural resource sustainability, highlighting socio-economic factors driving persistent charcoal use. The study proposes a conceptual framework integrating urban demand, rural supply, ecological impact, and natural regeneration. Our research contributes to urban sustainability literature, offering insights for policymakers to develop more sustainable energy strategies, including quota systems for harvesting, promoting alternative cooking fuels, community-based forest management, and improved charcoal production technologies. This case study provides valuable lessons for other rapidly urbanizing regions facing similar sustainability challenges in sub-Saharan Africa.

Technician assignment in multi-shift maintenance schedules in an offshore wind farm

Offshore wind farms are becoming more and more important to sustainable energy strategies, yet their maintenance presents unique logistical challenges. The focus of this research is the Technician Assignment Problem (TAP) which involves a complicated and fluctuating scheduling problem. The key objective is to determine the most effective assignment of technicians to maintenance tasks to maximize operational efficiency and ensure reliable service. This study introduces a mathematical optimization model that processes numerous variables—technician availability, skill sets, and temporal constraints—to minimize unmet maintenance needs and ensure equitable workload distribution. The model is based on assumptions derived from actual operational conditions and human resource practices, guaranteeing that its results are not only theoretically valid but also practically feasible. TAP adheres to labor regulations, employs human resource capabilities, and aims for a smart assignment of workforce. It complies with restrictions that prevent excessive work, require breaks, and ensure that technicians are assigned tasks that match their skills, thus promoting the well-being of the workforce and the efficiency of operations. The computational investigation of the model shows that it has a remarkable ability to improve scheduling decisions which effectively reduce unassigned positions and uniformly distribute work hours. In essence, this research contributes a methodologically robust framework to the field of workforce scheduling, with the potential to inform the maintenance strategies of offshore wind farms and similar complex service systems.

Waste management optimization with NLP modeling and waste-to-energy in a circular economy

This work presents a methodology integrating Non-Linear Programming (NLP) for multi-objective and multi-period optimization, addressing sustainable waste management and energy conversion challenges. It integrates waste-to-energy (WtE) technologies such as Anaerobic Digestion (AD), Incineration (Inc), Gasification (Gsf), and Pyrolysis (Py), and considers thermochemical, technical, economic, and environmental considerations through rigorous non-linear functions. Using Mexico City as a case study, the model develops waste management strategies that balance environmental and economic aims, considering social impacts. A trade-off solution is proposed to address the conflict between objectives. The economical optimal solution generates 1.79M$ with 954 tons of CO2 emissions while the environmental one generates 0.91M$ and reduces emissions by 54%, where 40% is due to gasification technology. Moreover, the environmentally optimal solution, with incineration and gasification generates 9500 MWh/day and 5960 MWh/day, respectively, demonstrates the capacity of the model to support sustainable energy strategies. Finally, this work presents an adaptable framework for sustainable waste management decision-making.

Role of multiple energy sources under carbon neturality goals, income and energy consumption in transition economies: A joint case study between China and Uzbekistan

This study critically reviews policies addressing the role of multiple energy sources in achieving carbon neutrality goals, with a focus on income and energy consumption in transition economies, specifically China and Uzbekistan. As both nations undergo significant economic transitions, their energy consumption patterns are evolving in response to modernization and policy changes. Utilizing data from 2012 to 2022, this study examines the consumption of various energy sources, including coal, wood, electricity, and liquefied natural gas (LNG), within the context of these countries' carbon neutrality objectives. Our findings reveal that income levels significantly influence energy consumption behaviors, with low- and high-income households in both China and Uzbekistan exhibiting distinct preferences for energy sources. The study integrates social survey data, economic variables, and policy analysis to explore how energy consumption is shaped by income disparities, fluctuating prices, and environmental goals. By drawing on historical contexts and previous scholarly works, this research provides a comprehensive understanding of the complex interplay between income, energy use, and policy in transition economies. The findings offer valuable insights for policymakers aiming to develop sustainable energy strategies that align with carbon neutrality goals while addressing the unique challenges of income disparity and energy consumption in China and Uzbekistan.

Advancing Sustainable Geothermal Energy: A Case Study of Controlled Source Audio-Frequency Magnetotellurics Applications in Qihe, Shandong

Geothermal energy is a key part of sustainable and renewable energy strategies, especially for clean heating in northern regions. This study focuses on Qihe County in Shandong Province, applying a controlled source audio-frequency magnetotellurics (CSAMT) method to investigate deep karst geothermal reservoirs. This research addresses the complex geological conditions and electromagnetic interference in the region, aiming to improve sustainable geothermal resource development. The findings indicate that the geothermal reservoir in the study area primarily consists of Ordovician limestone, characterized by moderate burial depth, high water volume, and elevated water temperature. Integrating CSAMT with vertical electrical sounding (VES) and radiometric surveying has clearly defined the deep aquifer layers and major water-controlling fault structures. Drilling verification results demonstrate the significant effectiveness of the integrated geophysical methods employed, providing reliable technical support for deep geothermal exploration in similar regions. This study makes a significant contribution to the scientific and technical foundation necessary for the sustainable development and utilization of geothermal resources, supporting the broader goals of environmental sustainability and renewable energy.

Sustainable energy strategies among small and medium-scale enterprises: The mediating role of business associations

Small and medium-scale enterprises increasingly show greater interest in managing their environmental footprints in response to shifting customer preferences. Beyond the mixed results in the literature exploring environmental concerns from an organisational perspective, questions related to firm strategy and energy efficiency have yet to be definitively determined. This study investigated the mediating role of business associations in the relationship between firm strategy and energy efficiency among small and medium-scale enterprises. Using binary logit regression, data from over 20,000 firms across 39 countries were analysed. Our analysis demonstrates that business strategy positively impacts climate-friendly energy generation, energy management, and energy consumption improvements. Furthermore, business associations were found to significantly mediate these relationships. A comparative analysis revealed some differences across economic regions, with the impact of business strategy being more pronounced in the Middle East and Africa compared to other regions of the world. The present findings suggest that improving small and medium-scale enterprises’ affiliations to business associations is a promising approach to increasing their adoption of sustainable energy practices. The study findings further advance the understanding of the firm strategy-energy efficiency nexus, and have implications for policymaking in environmental performance enhancement.

Exploring the interplay of renewable energy and carbon dioxide emissions across US sectors through wavelet approach

AbstractClimate change presents urgent challenges that require simultaneous attention to environmental and economic dimensions. Addressing this global issue involves tackling its root causes and closely monitoring progress in energy transition efforts to formulate effective strategies. Understanding the complexities and opportunities of shifting toward low‐carbon economies underscores the necessity for innovative sector‐specific policies promoting sustainable energy practices and reducing air pollution. An insightful grasp of how energy transitions impact environmental sustainability is critical, highlighting sector‐specific dynamics for informed policy and decision‐making. This study employs a wavelet approach to explore the relationship between CO2 emissions and renewable energy consumption, analyzing both aggregate and sector‐specific metrics. This time‐varying analysis offers a view of how this relationship evolves over time, providing valuable insights into the effectiveness and outcomes of sustainable energy strategies. Drawing on a dataset spanning from January 1989 to March 2022 in the United States, the research identifies coherence and co‐movements across different frequencies and time dimensions. Results underscore the need to tailor energy strategies to sector‐specific dynamics, particularly noting that despite the growing adoption of renewable energies in industrial and transportation sectors, their impact on reducing CO2 emissions remains limited. However, the electric power sector shows a promising potential for reducing emissions through increased renewable energy integration.

Engineering bionanoreactor in bacteria for efficient hydrogen production

Hydrogen production through water splitting is a vital strategy for renewable and sustainable clean energy. In this study, we developed an approach integrating nanomaterial engineering and synthetic biology to establish a bionanoreactor system for efficient hydrogen production. The periplasmic space (20 to 30 nm) of an electroactive bacterium, Shewanella oneidensis MR-1, was engineered to serve as a bionanoreactor to enhance the interaction between electrons and protons, catalyzed by hydrogenases for hydrogen generation. To optimize electron transfer, we used the microbially reduced graphene oxide (rGO) to coat the electrode, which improved the electron transfer from the electrode to the cells. Native MtrCAB protein complex on S. oneidensis and self-assembled iron sulfide (FeS) nanoparticles acted in tandem to facilitate electron transfer from an electrode to the periplasm. To enhance proton transport, S. oneidensis MR-1 was engineered to express Gloeobacter rhodopsin (GR) and the light-harvesting antenna canthaxanthin. This led to efficient proton pumping when exposed to light, resulting in a 35.6% increase in the rate of hydrogen production. The overexpression of native [FeFe]-hydrogenase further improved the hydrogen production rate by 56.8%. The bionanoreactor engineered in S. oneidensis MR-1 achieved a hydrogen yield of 80.4 μmol/mg protein/day with a Faraday efficiency of 80% at a potential of -0.75 V. This periplasmic bionanoreactor combines the strengths of both nanomaterial and biological components, providing an efficient approach for microbial electrosynthesis.

Energy Efficiency: The Market for Energy Management Systems in Nigeria

Energy efficiency and demand side management (EEDSM) are critical components of sustainable energy strategies globally. In Nigeria, implementing these practices is crucial to address the growing energy demand, enhance energy security, and mitigate environmental impacts. This paper explores Nigeria's Energy Management Systems (EMS) market, highlighting the current state of energy efficiency and demand side management initiatives, market drivers, barriers, and future prospects. The study emphasises the importance of EMS in optimising energy use and underscores the urgent need for policy recommendations. The analysis shows that despite significant challenges, there are substantial opportunities for growth in the EMS market, driven by the industrial, commercial, and public sectors. However, these opportunities can only be fully realised with the right policy support, underlining the necessity of immediate action in this area and making the audience feel the situation's urgency.

Steam & Power Dashboard

Abstract— The development of the Steam and Power Dashboard represents a significant advancement in energy management practices for industrial plants. By integrating data from steam and power systems, the dashboard offers real-time monitoring and analysis capabilities, allowing plant operators to identify inefficiencies and make informed decisions to optimise energy consumption. The research study delves into the design and implementation of the dashboard, highlighting its user-friendly interface and its ability to provide actionable insights for improving plant performance. Furthermore, the impact of the Steam and Power Dashboard on energy efficiency, cost savings, and greenhouse gas emissions is a key focus of the research. The findings demonstrate that the dashboard is effective in enabling plant operators to make data-driven decisions that lead to significant improvements in energy management practices. These improvements not only result in cost savings for the plant but also contribute to reducing the plant’s environmental impact by lowering greenhouse gas emissions. Overall, this research contributes to the advancement of sustainable energy strategies in industrial settings by showcasing the benefits of utilising innovative technologies, such as the Steam and Power Dashboard, to improve energy management practices and drive towards a more sustainable future. IndexTerms – – Python, SQL, EDA

Optimizing Micro-CT Resolution for Geothermal Reservoir Characterization in the Pannonian Basin

In the context of global efforts to transition toward renewable energy and reduce greenhouse gas emissions, geothermal energy is increasingly recognized as a viable and sustainable option. This paper presents a comprehensive assessment derived from a subset of a larger sample collection within the Dunántúli Group of the Pannonian Basin, Hungary, focusing on optimizing micro-computed tomography (µ-CT) resolution for analyzing pore structures in sandstone formations. By categorizing samples based on geological properties and selecting representatives from each group, the study integrates helium porosity and gas permeability measurements with µ-CT imaging at various resolutions (5 µm, 2 µm, and 1 µm). The findings reveal that µ-CT resolution significantly affects the discernibility and characterization of pore structures. Finer resolutions (2 µm and 1 µm) effectively uncovered interconnected pore networks in medium- to coarse-grained sandstones, suggesting favorable properties for geothermal applications. In contrast, fine-grained samples showed limitations in geothermal applicability at higher resolutions due to their compact nature and minimal pore connectivity, which could not be confidently imaged at 1 µm. Additionally, this study acknowledges the challenges in delineating the boundaries within the Dunántúli Group formations, which adds a layer of complexity to the characterization process. The research highlights the importance of aligning µ-CT findings with geological backgrounds and laboratory measurements for accurate pore structure interpretation in heterogeneous formations. By contributing vital petrophysical data for the Dunántúli Group and the Pannonian Basin, this study provides key insights for selecting appropriate µ-CT imaging resolutions to advance sustainable geothermal energy strategies in the region. The outcomes of this research form the basis for future studies aimed at developing experimental setups to investigate physical clogging and enhance geothermal exploitation methods, crucial for the sustainable development of geothermal resources in the Pannonian Basin.

Optimizing Grid Performance in Trinidad and Tobago: The Role of Vehicle-to-Grid (V2G) Technology

This study investigates the impact of integrating 10,000 battery electric vehicles (BEVs) into the electrical grid of Trinidad and Tobago through three charging scenarios: non-incentivized charging, charging at work, and a Vehicle-to-Grid (V2G) program. The results reveal that non-incentivized charging exacerbates peak demand and grid strain, while workplace charging provides only modest peak demand mitigation. In contrast, the V2G scenario significantly reduces peak load impacts and enhances grid stability by leveraging BEVs as dynamic energy storage units that contribute to grid services during high-demand periods. The study proposes a V2G tariff scheme that includes compensation for battery degradation, aiming to incentivize participation and offset potential costs. Economic analysis shows that while V2G involves higher per-MWh costs than conventional storage technologies, it avoids the need for substantial capital investment in static energy infrastructure, presenting a cost-effective solution for energy management in island nations. The findings highlight the potential of V2G technology to facilitate sustainable energy transitions, emphasizing its role in enhancing grid resilience, optimizing renewable energy usage, and reducing carbon emissions. This research underscores the transformative potential of V2G systems as critical enablers of sustainable energy strategies in regions facing similar challenges to Trinidad and Tobago.

Long-Term Energy System Modelling for a Clean Energy Transition in Egypt’s Energy Sector

Egypt has the potential to generate a significant amount of energy from renewable technologies, in particular solar PV, concentrated solar power (CSP), and onshore and offshore wind. The energy sector is reliant on fossil fuels, particularly natural gas, for electricity production and is at risk of locking itself into a high carbon pathway. Globally, reducing greenhouse gas (GHG) emissions associated with national energy sectors is a target outlined in the UN’s Paris Agreement. To reduce carbon dioxide (CO2) emissions associated with a higher dependence on fossil fuels, Egypt must consider upscaling renewable energy technologies (RETs) to achieve a clean energy transition (CET). This research modelled six scenarios using clicSAND for OSeMOSYS to identify the technologies and policy target improvements that are needed to upscale RETs within Egypt’s energy sector. The results showed that solar PV and onshore wind are key technologies to be upscaled to contribute towards Egypt’s CET. The optimal renewable target is the International Renewable Energy Agency’s (IRENA) target of 53% of electricity being sourced from RETs by 2030, which will cost USD 16.4 billion more up to 2035 than Egypt’s current Integrated Sustainable Energy Strategy (ISES) target of 42% by 2035; it also saves 732.0 MtCO2 over the entire modelling period to 2070. Socio-economic barriers to this transition are considered, such as recent discoveries of natural gas reserves combined with a history of energy insecurity, political instability impacting investor confidence, and a lack of international climate funding. The paper concludes with policy recommendations that would enable Egypt to progress towards achieving a CET.

The role of agricultural biomass in supply chain decarbonization

AbstractTo achieve supply chain decarbonization, environmentally conscious manufacturers are transforming their energy infrastructure. While certain manufacturers are adopting a pure bioenergy strategy in their production processes, others are opting for a hybrid energy approach that combines traditional energy with bioenergy. This choice is often influenced by limitations in land capacity and the developmental stage of biomass conversion technologies. This paper introduces a game-theoretic model that explores the optimal approach to achieving supply chain decarbonization by strategically selecting energy portfolios. Our findings reveal that in scenarios where the market size is small, manufacturers tend to adopt a hybrid energy strategy, particularly when the average yield of biomass is low. However, as the biomass yield increases, manufacturers lean towards a hybrid (or pure) bioenergy strategy in smaller (or larger) markets. In larger markets, the manufacturer’s energy strategies become more complex and are influenced by various factors. Our results emphasize that farmers should base their planting decisions on considerations such as available land, initial investment, and agricultural biomass yield. This paper urges manufacturers to effectively navigate the complexities of the carbon tax policy and make informed decisions that promote a sustainable energy strategy. By utilizing technological advancements, governments and manufacturers can collect and analyze data on factors such as market size, biomass yield, and carbon tax policy, ultimately working towards a more efficient, productive, and environmentally sustainable future.

Investigation of Thermal Similarity and Performances of Solar Thermal Air Collector with Heat-Soaked Vehicle Cabin

This article explores the potential of vehicle interiors, which can reach temperatures of up to 120°C due to solar exposure, as efficient solar collectors. Comparative studies have been conducted on the thermal behavior of heat-soaked vehicle cabins and dedicated solar collectors, highlighting their potential benefits in heating, cooling and ventilation. Thermal soak tests reveal a remarkable similarity in thermal performance between the two, with minor temperature variations of up to 5.3°C between the equivalent components. These temperature deviations are mainly due to differences in absorptivity characteristics, in which the black absorber plate exhibits superior absorption capabilities compared to the grey interior cabin surfaces. Integration of ambient air through the inlets on the cabin floor helps with initial cooling of the hot soaked cabin. The collector benefits from a preheated air mixture (comprising heat-soaked cabin air and ambient air), which improves its operating temperatures. This characteristic is attributed to the synergistic integration of the two systems. By decoupling these systems and aligning the properties of the absorber plate, the cabin and the collector could become thermally identical. The potential of the heated vehicle cabin as a power generation source is underscored, which presents opportunities to supplement the energy demand in remote locations. This study illuminates the untapped potential of vehicular solar heat capture, highlighting its feasibility, diverse applications, and significant implications for sustainable energy strategies and community development.

The Green Engine of Growth: Assessing the Influence of Renewable Energy Consumption and Environmental Policy on China’s Economic Sustainability

Utilizing Fourier autoregressive distributed lag and Fourier Toda–Yamamoto causality methodologies, this research assesses the effects that renewable energy consumption and environmental policy had on the economic sustainability of China from 1991 to 2022. Our findings highlight the positive impacts of renewable energy use and stringent environmental policies on China’s economic growth, while also pinpointing the supportive roles played by foreign direct investment, trade openness, and financial sector evolution in fostering a sustainable economic environment. Conversely, a reliance on fossil fuels emerges as a significant barrier to sustainability. Causality tests confirm the essential roles of renewable energy and environmental policies in advancing China’s economic sustainability. This study underscores the critical need for integrating sustainable energy and environmental strategies within China’s economic development framework, advocating for a holistic policy approach that balances economic growth with environmental conservation. This research underscores the imperative for a sustainability-centered strategy for China’s economic advancement.

Financial expenditure, financial friction, and coal consumption for energy efficient environment: Role of financial inclusion

This research investigates the crucial role that adaptability and ongoing evaluation have in implementing sustainable energy and economic development strategies in China. It emphasises the need for collaboration between enterprises, governmental organisations, and academic institutions in order to achieve these goals. The study also discusses how financial inclusion impacts economic growth and stability and how energy-intensive companies might use the Logarithmic Mean Divisia Index (LMDI) approach to evaluate energy decomposition. The findings indicate that different provinces in China’s high energy-intensive (EI) economic sectors have different degrees of energy efficiency, with certain regions possibly having inefficiencies. The research underscores the need for targeted strategies to address these inefficiencies and disseminate efficacious approaches in new settings. The research also offers useful data that may be used to promote sustainable energy consumption and economic growth, with implications for policy-making and strategic initiatives. In summary, this paper presents specific policy recommendations and highlights the need for ongoing evaluation and collaboration to support China’s sustainable energy initiatives and economic growth.

Impacts of meteorological conditions on the plummeting surface-reaching solar radiation over a sub-tropical station – Pune, India

The unprecedented rise of solar energy as a dominant power source is a remarkable feat, considering our historical struggle to establish its widespread adoption. However, the dynamics of solar radiation reaching the Earth's surface are greatly influenced by meteorological conditions such as clouds, aerosols, and wind speed. This study investigates the detailed changes in surface-reaching solar radiation within the subtropical region Pune from 1993 to 2022. By employing analytical methodologies including linear regression, wavelet coherence, and quantitative analysis, our study reveals a compelling and alarming pattern of plummeting solar radiation over Pune (also known as solar dimming). The total drop is ∼1.04 Wm−2 year−1 (0.21 % year−1), with a more steep decline registered from 2018 to 2022, providing an astonishing rate of ∼6.01 Wm−2 year−1 (1.21 % year−1). Moreover, wavelet coherence transform revealed an antiphase coherence between solar radiation and both clouds and aerosols, suggesting their substantial influence over a longer timeframe. Extensive analysis utilizing observational data is conducted to find the contributing elements to the significant decline during 2018 to June 2022. Analysis of solar radiation statistics showed that clouds led to a substantial reduction of ∼30.18 % compared to conditions with clear-skies. Similarly, the aerosols have a comparable effect, reducing radiation by ∼17.75 % compared to days characterized by low or negligible aerosol loading for the same period. Furthermore, a through statistical analysis investigates a notable anticorrelation (ρ = −0.64) between wind speed and solar radiation. These findings underscore the imperative of incorporating climatic variables while studying solar dimming trends and devising sustainable renewable energy strategies to ensure the long-term viability of solar energy source.

Economic viability and investment returns of innovative geothermal tri-generation systems: A comparative study

In a world grappling with escalating energy needs, environmental concerns, and economic constraints, the transition to renewable energy becomes critical. This study delves into geothermal energy, a promising renewable source, to develop four distinctive tri-generation systems (producing power, heat, and freshwater) optimized for economic efficiency and investment returns. The primary focus is on assessing these systems through an innovative lens of economic viability, including net present value (NPV) and payback periods, alongside their thermodynamic performance. Notably, System B emerges as the most economically advantageous, boasting the shortest payback period of 3.65 years and the highest NPV of $2.38 million, while System C trails with the lowest NPV of $0.32 million. Additionally, System D, identified as optimally complementary, undergoes comprehensive optimization using advanced algorithms and machine learning, achieving notable efficiencies and cost-effectiveness in power output, exergy, and freshwater production. This study not only underscores the potential of geothermal tri-generation systems in meeting energy, heat, and water needs but also highlights their significant economic benefits and investment attractiveness, offering a compelling case for their adoption in sustainable energy strategies.