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Copyright of Hacettepe University Journal of Economics & Administrative Sciences / Hacettepe Üniversitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi is the property of Hacettepe University, Faculty of Economic & Administrative Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This editorial discusses the dynamics and prospects of the energy market and energy transition. It emphasizes the global shift towards renewable energy due to government initiatives and technological advancements. However, challenges to the transition process exist, such as the impact of the COVID-19 pandemic on global energy demand and fossil fuel prices. The editorial highlights the varying dynamics of the energy market and transition process at the national and firm levels. The collection of research papers covers topics such as renewable energy subsidies in China, efficiency of hydropower electricity generation, and the impact of oil prices on consumer and producer prices. It also explores behavioral economics and the role of natural gas in achieving urban ecological civilization. The editorial acknowledges the contributions of the authors, reviewers, and journal editors in making this collection possible. [Extracted from the article]

The research problem of this paper is related to numerous open questions in the field of energy, its understanding, its use, and the challenges of the energy future. After the introductory part, in which a brief historical overview of energy literacy is provided, the paper focuses on energy literacy, its emergence, and the different approaches to its definition and measurement. The paper analyzes the energy literacy of students at the Faculty of Economics in Rijeka based on their cognitive, affective, and behavioral skills. Their knowledge about energy, energy processes, and the energy efficiency of the objects they encounter on a daily basis is examined. Their personal attitudes and values are examined through various forms of personal initiatives and active participation in energy sustainability projects. Finally, the habits and behavioral patterns that the respondents have in their daily lives and their tendencies to save energy resources and find energy-efficient solutions are examined. Despite some positive findings, the current results are not satisfactory and point to the creation of adequate public policies with a particular focus on education and the role of the corrective mechanisms of the state, but also the need for joint negotiations between policy makers, regulators, scientists, representatives of civil society, and the business community. The particular contribution of this work is reflected in being the first research of its kind conducted among Croatian economics students, as well as among Croatian students in general; in the creation of a research instrument that is conceptually consistent with the findings from the existing literature, but with an original set of questions within each energy literacy skill adapted to the cultural and sociological background of the respondents; and in a kind of progress from previous research by taking into account the quantitative aspect (in addition to the qualitative) assessment of the respondents' energy literacy. [ABSTRACT FROM AUTHOR]

This paper aims to investigate the outlook of energy generation by means of transformation within the context of sustainable energy development. An analysis is conducted to assess the stability of energy systems so to implement cutting-edge energy production models at the national level, with a focus on a contemporary approach to energy modeling. Considering the energy transition and the existing constraints within the energy industry, the model assesses the feasibility of the practical advancement of renewable energy sources. The bottom-up energy model was used to determine how the components of energy development sustainability can be applied until the year 2050. To perform comparison testing with the reference state scenario, the LEAP energy model was used. This instrument was selected because of its ability to provide flexible and advanced options for selecting suitable parameters for energy transformation prediction. A progressive reduction in environmental pollution can be achieved by the deployment of current methods of energy generation by transformation until the year 2050 in Serbia, as indicated by the findings. The research highlights the significance of utilizing green energy sources for the continuing development of energy and the gradual reduction in environmental pollution through value co-creation. [ABSTRACT FROM AUTHOR]

Rather than facing an isolated climate change challenge, this paper argues that the world must confront the Global Energy Challenge (GEC) that requires all countries to make trade-offs between three often competing and interrelated goals: inexpensive and reliable energy, clean air, and limiting damages from climate change. This paper presents seven facts that help illuminate the contours of the GEC and the interactions between the three goals. It concludes by outlining potential solutions: pricing energy at its full social cost, investing in technical and policy innovation, improving information on pollution and climate damages, and treating energy as a private good. [ABSTRACT FROM AUTHOR]

Recently, an improvement of the United Nations Human Development Index ( H D I ), named the Thermodynamic Human Development Index ( T H D I ), has been introduced to link socio-economics to environmental and technical pillars of sustainable development. In this paper, the T H D I is linked to the Kaya identity to bring out the quantities useful in energy economics and to obtain a clearer tool for the evaluation of sustainability. Moreover, the T H D I has been normalized for use as an index for the analysis of sustainability. The component related to environmental emissions, which is included in the T H D I , can be linked to the Kaya identity. This linkage allows us to use the T H D I for the analysis of scenarios, which is useful for evaluating the possible impacts of any future actions on the development of countries. [ABSTRACT FROM AUTHOR]

Unlike previous studies, this paper specifically casts light on Middle Eastern and North African (MENA) oil exporters that desperately need to give a strong boost to renewable energy (RE) sources and export rather than uselessly burn their hydrocarbon resources, which support an overwhelming part of their economies. This paper extends the previous research by investigating the impact of oil revenues, innovation, financial development, and governance on renewable energy generation in eight oil‐rich MENA countries over the period 1996–2020 using the three‐stage least squares (3SLS) estimator, which is asymptotically more efficient than the two‐stage least squares (2SLS) employed in the similar‐scoped study of Bellakhal et al. (Energy Economics, 2019, 84, 104541). Furthermore, this study aims to detect structural changes in the econometric relationships between variables depending on a novel test with structural breaks proposed by Karavias and Tzavalis (Computational Statistics & Data Analysis, 2014, 76, 391–407). The main findings indicate that oil rents negatively and significantly affect RE production in MENA oil exporters in general and in non‐GCC countries in particular. While renewable energy production in the GCC countries is positively and significantly affected by oil rents. Innovation‐led RE increases at a greater pace in the GCC countries than in their non‐Gulf counterparts. renewable energy production appears to be positively and significantly affected by financial development and governance in oil‐rich MENA countries. [ABSTRACT FROM AUTHOR]

Given the growing shares of renewable energy sources in the grids, the interest in energy storage systems has increased. The role of pumped hydro energy storage systems as flexible solutions for managing peak and off-peak prices from nuclear and fossil power plants in previous systems is now revitalized in the liberalized systems, with a volatile generation of wind and solar energy. Thus, understanding of the patterns behind the economics of energy storage is crucial for the further integration of energy storage in the grids. In this paper, the factors that impact the economic viability of energy storage in electricity markets are analyzed. The method of approach used in this study considers the electricity market price distribution, full load hours, the total costs of energy storage, and linear regression analysis. Using revenues from arbitraging a 10-megawatt (MW) pumped hydro storage system in the Western Balkans, resulting from the electricity market price distribution and the analysis of the total costs of storage, an econometric model is created. This model shows the impacting factors of energy storage development in the context of the rising renewables sector. Research shows that the previous hypothesis about the integration of energy storage systems in proportion to the increase in shares of renewables in the grids is incorrect. There is a significant correlation between energy storage revenues, the dependent variable, and the independent variables of hydro, wind, and solar generation. The conducted analysis indicates the future arbitraging opportunities of pumped hydro energy storage systems and provides useful insights for energy storage investors and policymakers. During the transitional period, until the deployment of renewables changes the effects of fossil power plants, energy storage price arbitrage is profitable and desirable for 500, 1000, and 2000 full load hours in the Western Balkan region. Despite the need for flexibility, with more renewables in the grids, large-scale energy storage systems will not be economically viable in the long run because of "revenue cannibalization". [ABSTRACT FROM AUTHOR]

The transactive energy market is an emerging development in energy economics built on advanced metering infrastructure. Data generated in this context is often required for market operations, while also being privacy sensitive. This dual concern has necessitated the development of various methods of obfuscation in order to maintain privacy while still facilitating operations. While data aggregation is a common approach in this context, many of the existing aggregation methods rely on additional network components or lack flexibility. In this paper, we introduce Cyclic Homomorphic Encryption Aggregation (CHEA), a secure aggregation protocol that eliminates the need for additional network components or complicated key distribution schemes, while providing additional capabilities compared to similar protocols. We validate our scheme with formal security analysis as well as a software simulation of a transactive energy network running the scheme. Results indicate that CHEA performs well in comparison to similar works, with minimal communication overheads. Additionally, CHEA retains all standard security properties held by other aggregation schemes, while improving flexibility and reducing infrastructural requirements. Our scheme operates on similar assumptions as other works, but current smart metering hardware lags in terms of processing power, making the scheme infeasible on the current generation of hardware. However, these capabilities should quickly advance to an accommodating state. With this in mind, and given the results, we believe CHEA is a strong candidate for aggregating transactive energy data. [ABSTRACT FROM AUTHOR]

Space solar power is an old idea. From its initial suggestion in the 1940s to the first practical concept by Dr. Peter Glaser in 1968, it has been analyzed, studied, and refined many times. Multiple government institutions, including NASA, JAXA, ESA, and CAST have invested significant funds into developing direct space solar power research. In parallel to these direct studies, considerable investment has also flowed into enabling technologies that serve as the cornerstone of current space solar power development concepts, including space solar panels, space hardware manufacturing, low-cost launch, wireless power transfer, robotic assembly, and swarm monitoring/control. In the last few years, space solar power concepts and studies have received increased funding, including non-governmental funding showing a strong positive growth trend. Multiple reports in 2021 and 2022, including from this author, have found that while space solar power has been technically feasible for decades, falling launch and hardware costs have only recently made it economically viable as well. Despite these findings, translation from economic feasibility to economic reality will require additional high-value investment. Sourcing these new funds requires investment context. This technical paper will present a state of the industry report on space solar power, including the total and source distribution of historical investments. It further contextualizes the investments in space solar power with the scale of investment in key technologies and their current technology readiness levels. The methodologies developed for this report and the data sourced are intended to serve as a catalyst, alongside industry feedback, to create a template for ongoing reporting of this growing market sub-sector and ultimately drive the full deployment of this technology. • NASA found in 1979 that Space Solar Power was technically and economically viable. • A half-century later solar power cost has fallen 99.8 %, launch has fallen 97.6 %. • A given solar panel will produce 6–20 times as much energy in space. • Direct investment into space solar power has reached $879 million. • Critical indirect investment, including into solar PV, is in hundreds of billions. [ABSTRACT FROM AUTHOR]

This work exhibits an extensive panel dataset and data descriptor on the crowdfunding-renewable energy nexus. This new source of data may find large use in energy economics, econometrics and policy, as well as financial and microfinance analysis. The referred dataset is made of 4704 observations to related to crowdfunding campaigns from 2009 to 2021. Data can be used for diverse energy econometrics studies and data analysis, especially for socioeconomic and environmental aspects of energy innovation and efficiency investigations. The contribution offered by this paper is the correlation between two salient aspects for the first time. We have cross-referenced the data related to crowdfunding campaigns with the sustainable orientation of the countries. The extrapolated data from two datasets—i.e., Zephyr Bureau Van Dijk and the World Bank's World Development Indicators—form a new dataset that serves as a tool, as well as a guide, for future studies related to renewable energy, fintech, economic, innovation and entrepreneurship issues. Moreover, this contribution may stimulate the development of new policies and strategies aimed at supporting the transition towards the circular economy and sustainable development by creating positive externalities on a large scale by increasing social welfare and resilience applications. [ABSTRACT FROM AUTHOR]

With the rapid development of the global economy, industrial enterprises have become increasingly dependent on energy to drive economic growth. However, the relationship between efficient energy utilization and economic growth remains insufficiently explored. Existing research primarily focuses on either economic or engineering perspectives, often overlooking the thermodynamic nature of energy conversion processes. This limitation leads to an incomplete understanding of the relationship between energy efficiency and economic growth. This paper constructs a model of energy conversion efficiency in industrial enterprises through thermodynamic analysis and further explores the relationship between energy conversion efficiency and economic growth. The findings reveal that analyzing energy efficiency from a thermodynamic perspective provides a more scientific and comprehensive insight into the actual energy utilization in enterprises, offering theoretical support for achieving the dual goals of economic growth and efficient energy use. This study not only offers new perspectives for research in energy economics but also serves as a valuable reference for policymakers and corporate managers in strategic decision-making. [ABSTRACT FROM AUTHOR]

Purpose – Within the framework of EU policies and measures to develop a just and fair green energy transition model. This paper aims to offer valuable insights into a paramount concern not so well debated in the literature, i.e. the spatial variation of energy poverty. Design/methodology/approach – This empirical analysis investigates the regional variation of energy poverty we draw on a sample of more than 300,000 Spanish households, extracted from the Spanish Household Budget Survey (HBS) for the period 2006–2022. To characterize the probability of a household finding itself in a situation of energy poverty the authors use a discrete choice univariate probit model. Findings – The results confirm that energy poverty is a phenomenon that is asymmetrically distributed across Spain, and mainly occurs in un-densely populated regions. In addition, the findings demonstrate that the incidence of energy poverty drivers is highly heterogeneous across regions. Research limitations/implications – The paper ends with some recommendations for policymakers suggesting that countries need to design an energy poverty policy for the households that jointly pursue both a correct identification of vulnerable groups and a match with the type of measure to the characteristics of each region. Originality/value – This study enhances previous research by considering the case of areas at a lower level of aggregation (i.e. on the NUTS two regions in Spain called autonomous communities) and offers the opportunity to tailor policies to those regions most in need. Furthermore, to provide a more realistic picture of the complex phenomenon of energy poverty, the authors use the information for the period 2006–2022 differentiating by economic micro-cycle. This timespan allows the authors to understand the dynamics of energy poverty in periods of economic crisis, including the effects of the 2008 crisis and the present global energy crisis.

Globally, and especially in developing nations, the increasing demand for energy, coupled with transmission and consumption inefficiencies, poses significant challenges. As the proliferation of household appliances and electric vehicles (EVs) rises, dependency on electricity surges, further straining the existing power infrastructure. While renewable energy resources (RERs) such as solar and wind gain traction, the reliance on conventional utilities persists, especially in homes. This reliance, especially on fossil fuels, intensifies environmental concerns due to greenhouse gas emissions. This paper presents the smart household energy management system (SHEMS), designed to optimize domestic energy consumption. Capitalizing on the Internet of Things (IoT), SHEMS offers real-time energy monitoring and management, providing homeowners an adaptable architectural framework to regulate their energy use. Fundamental component of SHEMS is a controller interfacing with all household loads and the main meter, ensuring timely data on power consumption. Notably, during peak times, the system can autonomously adjust appliance settings, balancing energy savings without compromising user convenience. Paired with a user-friendly application, SHEMS provides individuals comprehensive oversight of their consumption patterns, fostering more sustainable energy use in an increasingly electrified world. [ABSTRACT FROM AUTHOR]

The document is a list of references to research articles and conference papers that explore the integration of artificial intelligence (AI) and blockchain technology in various fields, including sustainable development, climate change, and supply chain management. The articles cover topics such as the role of AI in logistics and supply chain, the impact of AI on supply chain management, and the use of AI in green innovation and renewable energy transition. The document serves as a valuable resource for library patrons conducting research on these specific topics. [Extracted from the article]

Solar photovoltaics (PV) continues to grow rapidly across the world and now accounts for a very considerable proportion of all non-fossil-fuel electricity. With the continuing urgency of greenhouse gas abatement, the growth of solar PV is inevitable. Competition with other land uses and the desire to optimize the efficiency of the panels by making use of water cooling are compelling arguments for offshore floating PV (OFPV), a trend that could also benefit from the existing infrastructure recently built for offshore wind farms. Building on our earlier work, we present a larger dataset (n = 82) located around the globe to assess global yield (dis)advantages while also accounting for a modified form of water cooling of the offshore panels. Using our results regarding the Köppen–Geiger (KG) classification system and using a statistical learning method, we demonstrate that the KG climate classification system has limited validity in predicting the likely gains from OFPV. Finally, we also explore a small subset of sites to demonstrate that economics, alongside geography and technology, impacts the feasibility of locating PV panels offshore. [ABSTRACT FROM AUTHOR]

This paper presents a comprehensive analysis of the insurance effect associated with distributed energy resources (DERs) within the context of system reliability. Drawing from the field of energy economics, we investigate the relationship between the failure risk of DER systems and the investment decisions made by consumers. By developing the certainty equivalent based on expected utility, we consider the choices made by both risk-neutral and risk-averse individuals. Our findings highlight the significance of risk aversion and system reliability in determining optimal investment levels in renewable DERs. This research contributes to the understanding of factors influencing investment behavior in DERs systems, offering valuable insights for policymakers and energy practitioners seeking to promote sustainable energy transitions. [ABSTRACT FROM AUTHOR]

• This paper presents efficient energy management for loads with and without EVs. • This is based on optimal scheduling of solar-powered battery energy storage system. • A case study of a practical system is investigated. • The model considers seasonal variation effects of power generation and EV charging. • The results of proposed model are compared with other models. The increasing adoption of electric vehicles (EVs) and variable energy usage patterns substantially strain the electrical grid; indeed, optimal energy management, monitoring, and utilization are required for the reliable operation of the grid. This paper introduces a novel model design of a solar-powered battery energy storage system (SPBESS) as a viable substitute for conventional demand-side management (DSM) and time of use (ToU) pricing schemes, intending to optimize energy management and utilization with IoT monitoring. In addition, the IoT-based prototype has been developed to monitor and control the proposed system. To validate the proposed SPBESS model, the study examines two distinct cases: one encompassing domestic loads and the other integrating EV loads alongside household demand. Using ToU pricing, it determines the optimal charging and discharging strategies for the SPBESS, evaluates their implications for the system configuration and grid ToU pricing, and quantifies the annual reductions in power purchases, electricity bills, energy costs, and carbon emissions. Moreover, the study comprehensively analyzes the optimal power exchanges between the photovoltaic system, battery energy storage system, and the grid, precisely considering the specific load requirements and grid ToU pricing. The conducted research findings manifest considerable decreases in energy costs, with the domestic load condition witnessing a reduction from $0.312 per kilowatt-hour to $0.245 per kilowatt-hour and the scenario involving EV and residential loads experiencing a decline from $0.27 per kilowatt-hour to $0.197 per kilowatt-hour. Furthermore, the annualized cost savings for cases 1 and 2 amount to $1,336 and $4,544, respectively, yielding substantial reductions in polluting gas emissions. Besides, the IoT-based constructed prototype model design for real-time power parameters monitoring and control shows the importance of IoT-based monitoring for remote load control, allowing users to maximize energy efficiency, resource utilization, and system visualization. [ABSTRACT FROM AUTHOR]

Harmonizing the cleanliness and economics of energy is an effective means of integrating economic growth with carbon peaking goals, and realizing sustainable development in China. However, due to the existence of the energy trilemma, a worthwhile research question is how to fulfill the carbon peaking commitment while guaranteeing China's stable national development. Based on this, this paper not only discusses the nonlinear relationship between clean energy consumption transition and economic growth through threshold regression, but also simulates several scenarios of energy transition dynamics with different growth rates by using Oracle Crystal Ball software to forecast the future trend of China's carbon emissions up to 2030, aiming to find a transition scenario that can make the peak of carbon emissions appear without significant economic burden, so as to put forward countermeasures and suggestions to avoid falling into the energy trilemma in the process of fulfilling the commitment of carbon peaking. This paper finds that: firstly, there is an inverted U-shaped non-linear relationship between clean energy consumption transition and economic growth, with the inflection point of the inverted U-shape being 0.595; and secondly, only when energy transition exceeds 0.535 in 2030, the peak of carbon emissions (about 12,922.28 Mt) will occur. In summary, this paper argues that China should steadily advance energy transition, avoiding either too fast or too slow a pace (bring clean energy consumption transition to within the 0.535–0.595 range by 2030), in order to secure economic growth while honoring its commitment to peak carbon. Therefore, China should prudently design a coal exit strategy to avoid falling into the energy trilemma when promoting energy transition. Moreover, if China wants to further fulfill its commitment to carbon neutrality by 2060, it needs to continue to deepen the construction of green financial markets in order to better balance the relationship between energy cleanliness and economy. [ABSTRACT FROM AUTHOR]

Within the literature on energy and environmental economics, it is generally acknowledged that renewable energy can improve environmental quality; however, certain papers suggest that an optimal level of the usage of renewable energy sources may exist. Consequently, the utilization of renewable energy sources can result in environmental degradation up to a certain threshold. Then, environmental quality can be enhanced through the continued application of renewables. This indicates that the link between renewable energy and environmental devastation is inverted U-shaped. This paper presents empirical evidence concerning this possible association between renewable energy and environmental destruction in Türkiye, a country where fossil energy predominates in the energy mix. Additionally, the paper investigates the environmental influences of natural resource rents and schooling. This study utilizes annual data from 1971 to 2020 and implements time series methodologies that rely on the Fourier approximation. The paper thus accounts for an undetermined quantity of structural breaks. The results suggest that an inverted U-shaped link occurs between renewable energy and environmental destruction, signifying renewable energy initially contributes to a diminution in environmental quality before subsequently improving it. Additionally, environmental quality is positively associated with natural resource rents and negatively associated with schooling, according to the findings. Furthermore, the findings reveal that schooling worsens the combined effect of renewable energy on environmental degradation. These conclusions are discussed in the paper. [Display omitted] • A nonlinear pattern exists between renewable energy and the environment. • Natural resource rents decrease environmental destruction. • Schooling increases environmental destruction. [ABSTRACT FROM AUTHOR]

This document is an editorial titled "Fostering the energy transition amidst geopolitical and climate risks in a post-COVID world." It explores the integration of renewable energy into key sectors such as agriculture, urban mobility, and energy production, emphasizing its potential to advance Sustainable Development Goals (SDGs) and transform global sustainability. The editorial presents research studies that provide insights into sustainability challenges and opportunities, offering evidence-based solutions to inform policy and practice for a sustainable future. It also highlights the importance of equitable socio-economic transitions, the risks and limitations of nuclear power, and the economic impacts of policies causing asset stranding in resource-rich developing countries. The document concludes by recommending the fostering of innovation in renewable energy, the understanding of user preferences and behaviors, and the development of comprehensive frameworks for just transitions to ensure sustainable and inclusive change. [Extracted from the article]

With the high proportion of new energy access and the increasing demand for load electricity, efficient and reasonable control of battery energy storage systems (BESS) in the power grid is the key to promoting new energy consumption, improving the quality and economy of power supply in the power grid. To solve the optimization control problem of BESS under multiple power service objectives, a two-stage optimization control method for BESS based on multi-service attribute utility evaluation has been proposed in this paper. Firstly, based on various power service demands and grid operation constraints, a multi-objective optimized scheduling model for BESS has been established; Then, to solve the complex coupling problem between multiple optimization objectives of BESS, a two-stage optimization structure has been designed that the changes of various service indicators under different optimization objectives have been recognized in the first stage, and the entropy weight method was used to weight each optimization objective in the second stage objectively; Finally, in the IEEE 33-bus simulation example, compared with the suboptimal result under each singleobjective method, the relative error of the power line losses, the maximum voltage deviation, the curtailment of new energy and the economics of power grid of this algorithm has been reduced at least 2.31, 1.11, 2.90, and 1.05 times, respectively. Meanwhile, the performances of active power reserve and reactive power reserve are better than most single-objective optimizations. [ABSTRACT FROM AUTHOR]

Clean and sustainable energy holds preeminent importance from a socio-environmental standpoint and can be achieved through the implementation of a hybrid renewable energy system (HRES). As well as ensuring the stable and reliable operation of power systems amidst the increasing integration of renewable energy sources, precise source forecasting becomes indispensable. Thus, this paper presents a pioneering HRES design incorporating photovoltaic (PV), wind turbine (WT), and biogas generator (Bio) technologies, wherein animal manure is utilized as biomass for the sustainable valorization of animal waste. The preliminary objective of this study is to address the prevailing gaps to attain sustainable energy production that is both cost-optimal and technically efficient. Consequently, this paper investigates source forecasting through time series modeling, and assesses the techno-environmental and economic viability of HRES (both off-grid and on-grid) within the northeastern state of India, specifically focusing on the case study of the Cachar district in Assam state. Moreover, real data analysis is conducted to model and optimize the hybrid system. The findings reveal promising outcomes in terms of cost, emissions, and electrical energy potential, in which the optimal configuration PV/Bio with grid results in a net present cost (NPC) of 0.659 M$, cost of energy (COE) of 0.00684 $/kWh, and CO2\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$_2$$\end{document} emission of 2368 kg/yr. For the off-grid, the optimal configuration PV/Bio/Battery obtained with NPC of 2.49 M$, COE of 0.218 $/kWh, and CO2\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$_2$$\end{document} emission of 346 kg/yr. The analyzed results of the off-grid case are compared and validated with existing literature on different energy economics with optimum configurations. The obtained optimum system is more cost-effective than the existing systems in the literature. Furthermore, a sensitivity analysis is performed to assess the system’s robustness. Finally, this study endeavors to project a future power system for one of the prominent regions in Assam, an Indian state. [ABSTRACT FROM AUTHOR]

This paper proposes a multi-electrolyzer switching scheduling strategy based on the Pelican Optimization Algorithm (POA) to enhance the efficiency of large-scale wind power hydrogen production systems. To validate the effectiveness of the proposed strategy, we analyzed wind power data from three typical days in northern Hebei, China, with a 2.5 MW wind turbine output. We designed three strategies for comparative analysis: a simple start-stop strategy, a rule-based multi-electrolyzer switching strategy, and a POA-based multi-electrolyzer switching strategy. The study results demonstrate that the POA-based strategy exhibits higher hydrogen production efficiency and system stability under various wind conditions. Particularly, in extreme wind scenarios, this strategy significantly reduces the start-stop cycles of electrolyzers, thereby lowering operational costs and improving overall system performance. The main contribution of this study lies in the novel optimization algorithm and its validation through real-world data, demonstrating its effectiveness in large-scale wind power hydrogen production systems. Our findings provide new insights for enhancing the utilization of renewable energy and the economics of hydrogen production systems. [ABSTRACT FROM AUTHOR]

Ecological risk management has emerged as a critical research and policy development area in energy and environmental economics. Sustained ecology is crucial for the standard of living and food security. As the adverse impacts of environmental degradation and climate change become increasingly apparent it is imperative to understand ecological risk and its interconnectedness with environmental pressure, clean energy, economic activity, globalization, and green technology. Ecological risk is assessed using the environmental performance index which is a holistic indicator of climate change, environmental pressures and human actions in which most of these indicators have spatial effects. This paper explores the multifaceted relationship between identified anthropogenic critical factors and their role in effectively managing ecological risk globally. This study has developed the second-generation dynamic panel quantile regression considering spatial effects of economic activities on ecology across borders of 55 countries between 1995 and 2022. This innovative hybrid estimation scheme that integrated theoretical and econometric aspects makes the model robust to major regression issues. Several implications ranked in decreasing order of its effectiveness are reducing environmental pressure, expediting energy transition, and embracing economic integration while there is a need to work on rejuvenating green technology and green growth. [Display omitted] • Sustained ecology is crucial for economic growth and food security. • The ecological risk is assessed using the Environmental Performance Index. • Novel 2nd Generation Dynamic Quantile Regression is used for robust analysis. • Multifaceted anthropogenic factors and ecological risk relationship is explored. • Study iterated the need for renewable energy and green technology to reduce risk. [ABSTRACT FROM AUTHOR]

This study aims to explore the impact of digital technology innovation on energy efficiency and energy intensity, and further provide new insights for addressing emerging challenges in energy economics. Focusing on the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2010 to 2020, this study thoroughly investigates the process by which the digital economy influences regional energy intensity through the mechanism of technological spillovers, utilizing the fixed-effect model, the mediated-effect model, and the spatial Durbin model. The systematic empirical analysis clearly demonstrates that the vigorous development of the digital economy significantly reduces regional energy intensity, and this effect remains stable after tests for endogeneity and robustness. Further analysis reveals that green technology innovation is a crucial pathway through which the digital economy reduces regional energy intensity. Additionally, the digital economy positively and indirectly lowers the energy intensity of neighboring provinces through technological spillovers. However, it is noteworthy that the rapid growth of the digital economy since 2017 has also triggered the so-called "energy rebound effect," which has led to an increase in energy consumption in neighboring regions to some extent. Therefore, to achieve a sustainable reduction in regional energy intensity and promote coordinated regional development, it is essential to continuously strengthen the development of a digital economy centered on digital technology to fully realize its technological spillover effects. These findings not only provide a scientific basis for the formulation of regional energy policies but also offer valuable insights for China in promoting green development and achieving the goals of carbon peaking and carbon neutrality. [ABSTRACT FROM AUTHOR]

This study addresses the problem of the relationship between the adopted development path and the emission levels of greenhouse gases. The analysis includes the countries of Central and Eastern Europe that joined the EU in 2004–2018. This study used a dynamic analysis due to the nature of the changes taking place, which cannot be assessed in static terms. The results of the research conducted so far for this group of countries have been inconclusive. The countries studied have the aim of accelerating economic growth in order to reduce their distance from other EU countries on the one hand, while attempting to pursue a policy favoring the reduction of greenhouse gas emissions, on the other. The aim of this evaluation was to determine the relationship between GDPs per capita and CO2 emissions and to establish the factors determining this relationship. The results for the whole group showed the presence of N-shaped EKCs. This study showed the importance of energy productivity and demographic factors as well as the pace of GDP growth. This research extended the scope of research on CO2 emissions and their determinants through the use of dynamic methods, as well as the complex course of their relation to GDP per capita in Central Eastern European Countries. [ABSTRACT FROM AUTHOR]

One of the most crucial components in any industrial operation is energy. However, the supply is not limitless. One of the key ingredients in cement production is energy, whose cost share ranges from 8 to 15% of overall production costs in developed nations but is much more in undeveloped nations. Therefore, the objective of this extensive research was to carry out a thorough energy conservation audit at the Sheba leather factory, located in the city of Mekelle, in the north region of Ethiopia. The specific objective of this research was to analyse the patterns of power consumption, identify energy-saving techniques, as well as to propose energy-saving recommendations for their implementation. It was obtained using primary and secondary data from the industry personnel. As a result, a total of 19 recommendations for energy saving were found and were forwarded for consideration. These recommendations have the potential to save a total of about $ 29900 annually, but their implementation would cost close to $ 15900, with a payback period of seven months. These recommendations also cover the utilities of the boiler, motors, blower, air compressors, cooling tower, and lighting. In order to lower their energy use, economic benefits are also considered. [ABSTRACT FROM AUTHOR]

Objectives This review article delves into the determinants of energy intensity in emerging economies, spanning the past 30 years of research accessed from Web of Science. The review employ data visualization techniques to present a bird's-eye view of the research landscape, showcasing the geographical distribution of studies, prominent authors, and key journals in the field. Material and methods This bibliometric study utilized the March 2023 edition of the Web of Science (WoS) Core Collection database for its papers. The literature review covers the years 1993 to 2023 and includes all studies on the subject of energy intensity in the pursuit of emerging economic goals. Journal articles are isolated from the other document types using an additional filter. The WoS Core Collection database had a total of 3,918 articles. Results Through a systematic assessment of methodological approaches, we evaluate the robustness of the existing literature, pinpointing areas where methodological improvements and novel data sources can enhance future research. It offers valuable insights for policymakers, researchers, and practitioners striving to develop effective strategies for reducing energy intensity and promoting green growth. Conclusions In conclusion, emerging economies' energy intensity levels are shaped by a complex interplay of determinants that were highlighted by the analysis of factors influencing energy intensity on economic growth. In order to achieve a more sustainable and resilient energy future, emerging economies must first address these determinants through research, collaboration, and policy actions.

[Display omitted] • PCM energy storage and PV/T coupled multi-source heat pump systems were combined. • The thermal performance, energy efficiency, and economy of the system were analyzed. • The performance of paraffin C17 and water as energy storage materials were compared. • The performance of six low-temperature PCMs applied to the system were analyzed. • Compared to the existing system, it saves 56 % of energy and 27.7 % of operating costs. To improve the application of renewable energy in the heating zone, as well as to address the limitations of air and water source heat pump. The study presents a PV/T (photovoltaic/thermal) coupled air–water source heat pump system integrated with phase change energy storage. A theoretical analytical model and TRNSYS simulation model of the system were developed to evaluate the thermal performance, energy efficiency and economics of the system. The performance of phase change energy storage was compared with that of water storage, and the effect of different phase change materials on the system characteristics. The results show that the coupled system achieves a seasonal performance factor of 2.3, a 56 % reduction in energy consumption, and a 27.7 % reduction in operating costs compared to a conventional gas boiler system. Comparative analysis with the water storage system showed that the system equipped with phase change materials performed well in terms of energy consumption, operating costs and heating stability. In addition, the density of the phase change material has a biased effect on the overall performance of the system. This paper can provide a reference value for the study of renewable energy heating systems in cold zone. [ABSTRACT FROM AUTHOR]

One of the key steps towards economic feasibility of wave energy conversion technology concerns scaling up to farms of multiple devices, in the attempt to reduce installation costs by sharing infrastructure, and a consequent drop in levelised cost of energy. Moreover, whenever wave energy systems are deployed in proximity (in so-called arrays), the exploitation of the hydrodynamic interactions between single devices is fully enabled, potentially increasing the final energy outcome. To achieve this in real (operational) time, the employed energy-maximising control strategies require control-oriented array models, able to efficiently describe the dynamics of these interconnected systems in a representative fashion. This can be, nonetheless, a difficult task when considering first principles alone, under small motion assumptions, for modelling purposes. Recognising the uncertainty associated to array numerical models obtained from the linearisation of simplified system equations around their equilibria, this paper presents models of several array configurations identified following a frequency domain approach on the basis of experimental data. Tailored tests on laboratory-scale devices have been designed and conducted in the Aalborg University (Denmark) wave tank facility, with the purpose of performing representative system identification of the wave energy systems arrays. The obtained models are validated on different representative sea states configurations, in controlled and uncontrolled motion operational conditions. The validation results are fully discussed and analysed in terms of standard error measures and time lag, while the obtained models are made freely accessible via a linked repository (named OCEAN), in the attempt to openly provide validated models for different array configurations. • Data-based modelling of wave energy system arrays from experimental data. • Different array layouts, up to three devices at different distances. • Validation made in uncontrolled and controlled (passive and reactive) conditions. • Freely available validated MIMO models of the different array configurations. [ABSTRACT FROM AUTHOR]

Energy is one of the essential components for the social and economic growth of urban and rural communities worldwide. However, the lack of energy supply is one of the most significant challenges facing remote or local communities in Nigeria. Distributed generation systems based on renewable energy, conventional sources, or hybrid resources are possible energy production solutions for these communities. This paper, therefore, focused on providing an energy generation system based on photovoltaics (PV) and diesel generators (DG) for stand-alone applications. A comparative analysis was carried out to assess the impact of control strategies, namely load following (LF), cycle charging (CC), and combined dispatch (CD). The designed energy systems: 60 kW PV, 78.69 kW PV, PV-DG-LF, PV-DG-CC, and PV-DG-CD were simulated using HOMER Pro while technical, economic, and environmental indices were used as performance metrics. Simulation results showed that 60 kW PV generated 84,927 and 75,859 kWh, without and with temperature effect, respectively, with the corresponding unmet electric load (UEL) of 13.8 and 14.2%. The result further demonstrated that PV-DG-LF is the optimal design with the highest renewable penetration of 80.7% and the least annual total fuel consumption (TFC) of 6,594 l. The economic results further confirm the suitability of PV-DG-LF with the lowest fuel cost (FC) and moderate cost of energy (COE) of $219,934 and 0.302 $/kWh, respectively. The PV-DG-LF is found to be more environmentally friendly, with the least annual CO 2 emission of 16,629.652 kg. The study considers veritable strategies to achieve affordable, clean, and reliable energy in line with research efforts on realizing the sustainable development goal (SDG) 7. [ABSTRACT FROM AUTHOR]

The world is stepping forward to a carbon-neutral economic system in response to the rising issues caused by climate change. Fossil fuel combustion is the primary source of increased carbon emissions, energy mix adjustment is critical to climate change mitigation and the carbon neutrality goal. This study investigates the different responses to energy sources' economic growth and environmental sustainability using balanced panel data from 34 Organization for Economic Cooperation and Development (OECD) countries during 1995–2019. This study uses oil, natural gas, and renewable energy to represent traditional, emerging alternative fossil, and green energy sources, respectively. Results show that renewable energy, oil, and natural gas all impose impacts on economic growth, however, renewable energy contributes more than oil and natural gas. Furthermore, there is a significant inverse relationship between the amount of renewable energy produced and carbon dioxide (CO2) emissions. While both natural gas and oil have a positive effect on CO2 emissions, the effect of natural gas is much smaller than that of oil. Furthermore, the causality investigation reveals that renewable energy, oil, and natural gas all show impacts on carbon emissions but do not contribute to economic growth. These findings suggest that increasing investment in renewable energy, with natural gas playing the role of a transitional replacement for oil, will contribute to the "carbon neutrality" process of these countries. [ABSTRACT FROM AUTHOR]

Copyright of Central Asian Economic Review is the property of Narxoz University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Zeitschrift fur Wirtschaftspolitik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This work develops microgrid dispatch algorithms with a unified approach to model predictive control (MPC) to (a) operate in grid-connected mode to minimize total operational cost, (b) operate in islanded mode to maximize resilience during a utility outage, and (c) utilize weighting factors in the grid-connected objective function to preserve islanded capability (on-site fuel reserves, battery state of charge) to enhance resilience in the potential event of an unplanned grid outage. Resilience is defined using microgrid survivability (probability to serve 100% of critical load), autonomy (duration of time to serve 100% of critical load), and unserved energy (curtailed critical load) for a target of 7 days during a grid outage. The developed methods are applied to a military microgrid with 2,250 kW of diesel generation, 3,450 kW/13,800 kWh battery storage, and 16,479 kW of solar photovoltaics. Sensitivity analysis is conducted to determine the selection of weighting factors to have the best impact on three developed objectives: grid-connected economics, islanded resilience, and carbon intensity. Optimal weighting factors reduce operating costs by 0.1%, increase survivability by 3.9%, increase autonomy by 16.7%, reduce unserved energy by 94.1%, and increase carbon intensity by 2.5%. [ABSTRACT FROM AUTHOR]

The Biden Administration appreciates the deleterious consequences associated with unregulated natural gas usage, while it seemingly shies away from pursuing progressive measures against the industry. But a 2050 future characterized by zero greenhouse gas (GHG) emissions demands that here in the United States and globally, we arrest methane emissions as swiftly as possible. Methane emissions, after all, over the next several decades are far more potent than emissions from coal. And yet, our news is populated with stories warning of increased methane emissions and corresponding initiatives to reduce or eliminate them. To be sure, in April 2023, the White House announced a methane finance sprint to curb emissions, joining a host of other programs targeting methane. It even acknowledged how reducing such emissions would “have an outsized impact on nearterm warming.” Unfortunately, little about these existing initiatives afford sufficient comfort that natural gas will not simply replace coal as the fuel cabining our race to reach a 43% reduction in GHG emissions by 2030, the target of the 2015 Paris Agreement, or a net zero energy economy by 2035 or a zero-emission economy by 2050—targets of the Biden Administration. This Essay probes the array of assumptions animating the Administration’s continued support for natural gas. It chronicles how we may be creeping toward another of what I term energy folly, championing a fuel ostensibly necessary today to support a reliable electric grid and spur the nascent yet emerging hydrogen economy. And it explores how natural gas proponents assume that several initiatives will diminish the climate change impacts from methane emissions, counseling against aggressive programs for reducing continued investment in natural gas infrastructure. But as this natural gas infrastructure continues to grow, possibly becoming a future-stranded asset or chilling our willingness to wean ourselves off natural gas, our existing regulatory system avoids any meaningful inquiry into the role of natural gas from now until 2030, 2035, or 2050. To remedy this, I suggest we ought to engage in this inquiry by constructing appropriate institutional mechanisms capable of asking the right questions. State regulatory commissions, the Department of Energy, and the Federal Energy Regulatory Commission (FERC) ought to appreciate how their decisions today can solidify possibly problematic natural gas infrastructure long after immediate need for the natural gas has faded. To avert this scenario, they should be capable of scrutinizing whether any proposal involving natural gas is necessary not merely immediately or the following year, but five or more years later as well. Regional entities could be formed to aid the endeavor; those entities could be tasked with combining annual analyses by the Energy Information Administration with similar regional assessments and projections on the need for natural gas not just immediately but for the entire physical and economic life of the infrastructure. This ought to include requiring any proposal for new natural gas infrastructure to accept a decommissioning or transition plan. FERC, for instance, should demand from applicants an enforceable timeline for achieving zero emissions, whether through a commitment toward carbon capture, utilization, and sequestration (CCUS) or an agreement to transition away from natural gas and toward hydrogen, or otherwise agreeing to shutter the infrastructure. Climate change is propelling us into a perilous future, and yet we continue to promote natural gas with unverified assumptions about how we can arrest methane emissions. Those assumptions may well prove our prescience. Natural gas may well provide a catalyst capable of transitioning our energy systems toward a much more dominant hydrogen-based economy. But a gambit with natural gas is risky. Our future, consequently, warrants being cautious and charging our institutions with the obligation to prevent natural gas from becoming the proverbial sword of Damocles, preventing our transition to a zero-carbon economy sooner rather than later. [ABSTRACT FROM AUTHOR]

The article discusses Japan's trade policy and draws an analogy to the "Three Arrows" story from Japanese history. The first arrow focuses on contributing to a rules-based international economic order, particularly addressing the dysfunction of the WTO's dispute settlement mechanism and the UN Security Council. The second arrow emphasizes building resilient supply chains to avoid economic coercion and promote free trade. The third arrow aims to build win-win relationships with other countries, including those in the Global South, to overcome divisions and promote cooperation on global issues. The author emphasizes the importance of these three arrows working together to achieve Japan's trade policy goals. [Extracted from the article]