Search Results (191)

The study examines the role of heat pumps (HPs) in achieving the targets set by the Italian National Integrated Energy and Climate Plan (PNIEC) for 2030, using official data and European-recognized calculation methodologies to quantify the renewable energy produced. Starting from the current stock analysis—21 million HPs installed in 2022, providing 39 GW_th of thermal capacity—the research outlines potential growth scenarios based on installation trends from the past three years: Scenario A assumes 2.5 million HPs/year, (b) 2.2 million/year, and (c) 1.6 million/year. Only Scenario A, the most ambitious, achieves full compliance with 2030 targets by ensuring over 4723 ktoe of renewable energy produced. An additional Scenario D is analyzed, based on the lowest annual installed capacity observed in the past three years but with a modified technology mix emphasizing air-to-water (A/W) and ground-source water-to-water (W/W) HPs. This scenario still achieves the 2030 goals, reaching 66.04 GW_th and 4859 ktoe of renewable energy. The results confirm that technology choices will be strategic to meet the targets. The study also highlights the importance of stable incentive policies, proper development of the industrial supply chain, and a plan for the technological upgrading of the existing systems stock. Full article

In response to growing environmental concerns, hydrogen production has emerged as a critical element in the transition to a sustainable global economy. We evaluate the impact of hydrogen production on both the financial performance and market value of energy sector companies, using balanced panel data from 288 European-listed firms over the period of 2018 to 2022. The findings reveal a paradox. While hydrogen production imposes significant financial constraints, it is positively recognized by market participants. Despite short-term financial challenges, companies engaged in hydrogen production experience higher market value, as investors view these activities as a long-term growth opportunity aligned with global sustainability goals. We contribute to the literature by offering empirical evidence on the financial outcomes and market valuation of hydrogen engagement, distinguishing between production and storage activities, and further categorizing production into green, blue, and gray hydrogen. By examining these nuances, we highlight the complex relationship between financial market results. While hydrogen production may negatively impact short-term financial performance, its potential for long-term value creation, driven by decarbonization efforts and sustainability targets, makes it attractive to investors. Ultimately, this study provides valuable insights into how hydrogen engagement shapes corporate strategies within the evolving European energy landscape. Full article

As a major contributor to global energy consumption and carbon emissions, the building sector plays a pivotal role in achieving carbon peaking and neutrality targets. This study systematically reviews the evolution of research on building stock energy conservation and emission reduction (BSECER) from 1992 to 2025, which is based on a comprehensive bibliometric analysis of 2643 publications. The analysis highlights the research contributions of countries, institutions, and scholars in the BSECER field, reveals patterns in collaborative networks, and identifies the development and shifting focus of research topics over time. The findings indicate that current BSECER research centers around four main areas: behavioral efficiency optimization, full life cycle carbon management, urban system transformation, and the integration of intelligent technologies, which collectively form a multiscale emission reduction framework from individual behavior to large-scale systems. Building on these insights, this study outlines five key future research directions: advancing comprehensive carbon neutrality technologies, accelerating the engineering application of intelligent technologies, developing innovative multi-scenario policy simulation tools, overcoming integration challenges in renewable energy systems, and establishing an interdisciplinary platform that links health, behavior, and energy conservation. Full article

Maize (Zea mays) is one of the most cultivated crops in South Africa, serving as a staple food, stock feed, and a key element in several industrial applications. It contributes significantly to the growth of the South African agricultural economy. The cultivation of maize generates a large amount of agricultural waste, mainly in the form of maize stover (MS), which encapsulates leaves, stalks, cobs, and husks. Approximately 5.15 metric tons (Mt) yr⁻¹ of MS are generated in South Africa. This corresponds to an energy potential of 94 PJ. There is immense potential to surpass the annual yield of MS by 126% up to about 11.66 Mt yr⁻¹ through practices such as zero tillage and improved agricultural production systems. MS may pose a serious threat to the environment if not managed in a sustainable and eco-friendly manner. Valorization of MS into biogas presents an excellent opportunity to effectively control biomass waste while contributing to renewable energy production and mitigating dependence on depleting fossil fuels. However, MS continues to be overlooked as a sustainable bioenergy resource due to its lignocellulosic structure. This study explores the potential of converting MS into biogas for heat and power generation, addressing both energy needs and waste management in South Africa. The purpose is to provide knowledge that will inform researchers, innovators, industrialists, policy makers, investors, and other key stakeholders interested in renewable energy systems. Collaborative efforts among multiple stakeholders are vital to leverage biogas as a technology to promote socio-economic development in South Africa. Full article

Our society is facing serious challenges from global warming and environmental degradation. Scientists have identified carbon dioxide as one of the causes. Our society is embracing carbon offset as a way to field the challenges. The purpose of carbon offset is trying to cancel out the large amounts of carbon dioxide by investing in projects that reduce or remove emissions elsewhere. Examples of carbon offset projects are planting trees, renewable energy projects, and capturing methane from landfills or farms. Not all carbon offset projects are equally effective. In stock markets, investors eagerly pursue carbon offset. Namely, investors favor carbon offset in addition to risk and return when investing. Therefore, investors supervise risk, return, and carbon offset. Investors’ pursuits raise the question of how to model carbon offset for investments. The traditional answer is to adopt carbon offset screening and engineer portfolios by stocks with good carbon offset ratings. However, Nobel Laureate Markowitz emphasizes portfolio selection rather than stock selection. Moreover, carbon offset is composed of multiple components, ranging from business, social, economic, and environmental aspects. This multifaceted nature requires more advanced models than carbon offset screening and portfolio selection. Within this context, we systematically formulate multiple-objective portfolio selection models that include carbon offset. Firstly, we extend portfolio selection and treat carbon offset as a whole. Secondly, we separate carbon offsets into different components and build models to monitor each component. Thirdly, we innovate a model to monitor each component’s expectation and mitigate each component’s risk. Lastly, we optimize the series of models and prove the models’ properties in theorems. Mathematically, this paper makes theoretical contributions to multiple-objective optimization, particularly by proving the consistency of efficient solutions during objective classification and model evolution, describing the structure of properly efficient sets for multiple quadratic objectives, and elucidating the optimization’s sensitivity analyses. Moreover, by coordinating the abstract objective function, our formulation is generalizable. Overall, this paper’s contribution is to model carbon offset investments through multiple-objective portfolio selection. This paper’s methodology is multiple-objective optimization. This paper’s achievements are to provide investors with greater precision and effectiveness than carbon offset screening and portfolio selection through engineering means and to mathematically prove the properties of the model. Full article

Conventional sources of electricity are limited and they pollute the Earth, so it is necessary to think about an additional source of electricity in the future. Nuclear power is one of the options. Two scenarios using different shares of nuclear power in the future are described in this paper. Scenario 1 describes a moderate increase in nuclear energy use in the future, but with a tendency for a larger increase over 2050. Scenario 2 describes a significant increase in nuclear energy until 2100. Both scenarios are divided into three sub-scenarios (total six) in which the use of different nuclear technologies is analyzed (conventional liquid water reactors, fast breeder reactors and molten salt reactors using thorium as nuclear fuel). In all scenarios, the phase-out of fossil fuel power plants is assumed. One part of the power system is covered by nuclear power plants, and the remaining part is covered by renewable energy power plants. After 2050, an increasing share of the electricity system will be taken over by RES power plants. Nuclear fuel stocks are also analyzed. It is calculated that currently known nuclear fuel stocks are sufficient to meet the needs in all six scenarios. The carbon dioxide emissions saved due to nuclear energy use instead of conventional energy power plants are calculated. The CO_2eq emission savings for Scenario 1 is 87.4% of the recommended emission savings under the IPCC. The CO_2eq emission savings for Scenario 2 is more than sufficient. A calculation of the economic profitability of nuclear energy use is made in relation to fossil power plants and renewable energy power plants. According to calculations, nuclear energy is profitable compared to other energy sources. Nuclear energy use is positive from all the mentioned aspects. Full article

This research investigates the role of fossil fuel energy, renewable energy, and education in terms of years of schooling and mean years of schooling on the economic growth of 19 selected Sub-Saharan African countries. The primary objective is to assess whether renewable energy and educational attainment serve as viable long-term drivers of economic development in a region still heavily reliant on fossil fuels. We employed the newly developed and robust econometric estimators, including “Residual Augmented Least Squares (RALS) co-integration”, to estimate long-term links among the facets of study. Moreover, “Pooled Mean Group–Autoregressive Distributed Lag model (PMG-ARDL) and Quantile Autoregressive Distributed Lag (QARDL)” econometric estimator was employed to estimate the long and short coefficients of the antecedents of study. The estimations obtained from the PMG-ARDL and QARDL estimators provide evidence that the coefficients of fossil fuel energy and renewable energy on economic growth are positive. But surprisingly, the magnitude of renewable energy is greater than fossil fuel energy in Sub-Saharan countries that still depend on fossil fuels. Moreover, human capital and capital stock boost economic growth in the countries studied. The outcomes reveal that not only quality but also quantity of education play a vital role in boosting economic development. To deepen the understanding of the observed effects, the study also explores the transmission channels through which renewable energy and education foster economic growth. Renewable energy contributes by lowering the marginal cost of electricity, encouraging green industrial transformation, and serving as a catalyst for technological innovation. Concurrently, improvements in education—measured by both expected and mean years of schooling—elevate labor productivity and facilitate the absorption and diffusion of new technologies across sectors, thereby stimulating sustained economic performance. The empirical results provide valuable insights for government officials and policymakers in specific Sub-Saharan African countries. Full article

The European building sector significantly contributes to the EU’s greenhouse gas reduction goals, with the 2024 Energy Performance of Buildings Directive (EPBD) aiming to achieve a decarbonised building stock by 2050. By focusing on an existing office building representative of the Italian building stock, this research evaluates various energy efficiency measures and integrates renewable energy systems to transform the building into a Zero-emission Building (ZeB). Moreover, it also utilises future weather data to address the effects of climate change. Results highlight the actions needed for an empirical ZeB transition, offering insights into challenges and key performance indicators across different intervention scenarios. The findings contribute to establishing national ZeB standards, emphasising the importance of the national building renovation plan in compliance with the EPBD recast requirements. Full article

A significant amount of existing building stock needs renovation to reach nearly zero energy building (nZEB) status with minimal intervention. This paper aims to research and form a basis for future studies to build upon regarding the additional renewable energy requirements for existing buildings under future climate change. The objectives are to investigate the effect of the changing energy requirements in different current and future regional climates, the change in the number of occupants, and the required additional renewable energy. The case building is modeled on an apartment scheme built in different climatic regions. The method is the Transient System Simulation Tool (TRNSYS) building energy simulation to evaluate both the contemporary and changing weather conditions for 2050 according to three Intergovernmental Panel on Climate Change (IPCC) scenarios for 2.6, 4.5, and 8.5 degrees of temperature increase. The integration of required renewable energy and occupancy size with climate change scenarios for various climates fills a gap in the existing research. The results show that while each climatic region responds differently to climate change scenarios, climates that currently have more cooling demands are impacted the most adversely. However, there is no need to change the amount of additional renewable energy installed for 2050. Full article

The integration of blockchain (BC), artificial intelligence (AI), and green finance (GF) to promote sustainable investments and tackle environmental issues is examined in this study. By employing sophisticated analytical methods, the study seeks to pinpoint the main forces behind GF growth, especially in the field of renewable energy. To guarantee reliable statistical analysis, financial data from Taiwanese companies listed on the stock exchange between 2000 and 2020 are examined using the Generalized Method of Moments (GMM). Furthermore, to make use of AI’s potential to pinpoint the key elements affecting GF development and investment, attention-based convolutional neural networks (CNNs) are used. The links between GF, BC, and AI are analyzed and visualized using a novel method called the Financial Filtered Graph (FFG). The results of the study demonstrate that by increasing the precision of investment forecasts and identifying critical factors that affect GF growth, AI-driven solutions can greatly improve the sustainability of green finance strategies. The suggested methodology effectively supports sustainable investment decisions, as evidenced by its remarkable 98.8% classification accuracy. According to the findings, integrating AI and BC has a lot of potential to enhance green finance’s accountability, transparency, and decision-making processes, all of which will support long-term economic and environmental sustainability. Full article

Energy efficiency represents a strategic priority in both Italian and European legislation to mitigate the energy consumption of buildings, which are significant contributors to greenhouse gas emissions. Currently, about 75% of the EU building stock is considered to be energy inefficient and requires substantial retrofitting. This study examines the energy redevelopment of a large building complex, which currently has an energy class E label. The aim is to achieve a significant improvement in energy efficiency and reduce fossil fuels usage, in line with sustainability standards. The intervention includes replacing the existing air-conditioning and heating systems with high-efficiency air-to-water heat pumps, powered by electricity generated, in part, by an integrated photovoltaic system. Through the analysis of available technological solutions and the application of a Building Information Modeling (BIM) methodology, the research proposes strategies to optimize the energy efficiency of buildings while minimizing the environmental impact and ensuring compliance with current regulations. The results highlight the effectiveness of such approaches in supporting the energy transition, with the implemented measures reducing the non-renewable energy demand from 191,684 kWh/m²/year to 76,053 kWh/m²/year. This led to a decrease in CO₂ emissions of 604 tons/year, representing a 78% reduction compared to initial levels, a clear contribution toward achieving European sustainability goals. Full article

Rural areas are ideal for renewable energy facilities, supporting sustainable development and energy transition. Egypt aims to reduce greenhouse gas emissions in the electricity sector by 37% and energy consumption by 17% by 2030. Rural Egypt, hosting two-thirds of the population and building stock, consumes one-third of the total electricity. Thus, this paper provides an exploratory study to diagnose and benchmark the energy-use intensity of rural buildings and quantify the correlation between residential electricity consumption, built environment elements, and socio-economic factors, in addition to promoting techno-economic assessments of renewable energy from photovoltaic panels in rural Egypt, supporting national policies amid rapid rural development. The study utilized different analytical and field methods and statistical analyses. A typical agriculture-based rural village in the Delta region, northern Egypt, was selected; the built environment, building types, and socio-economic factors were examined. The results revealed a significant correlation between lifestyle, built-up area, household size, and floor numbers with residential buildings’ electricity consumption. The average annual electricity use intensity was benchmarked at 2.5–92.3 kWh/m² for six non-residential building typologies and at 22 kWh/m² and 6.67 kWh/dwelling for residential buildings. Under current regulations, rooftop solar panels can generate electricity significantly, but are not profitable. Eventually, insights for policymakers to inform energy transition policies and national initiatives for rural regeneration were provided. The research focused on a local context, but the methodology can be applied to rural settlements in similar contexts. Full article

This study examines the simultaneous relationships among oil prices, oil volatility, and two sub-sectors within alternative energy stocks: renewable energy equipment (REE) and alternative fuels (AF). The results confirm the existence of a bidirectional relationship. While most alternative energy stocks with a long history on the stock exchange exhibit a bidirectional positive correlation with oil prices, they demonstrate a bidirectional negative correlation with oil volatility. In particular, a majority of REEs, as opposed to a minority of AFs, demonstrate a bidirectional positive correlation with oil prices. Conversely, the majority of REEs, contrasted with a minority of AFs, exhibit a bidirectional negative correlation with oil volatility. Notably, newly listed alternative energy stocks show no significant relationship with either oil prices or oil volatility. This suggests that these emerging entities may be influenced by factors beyond traditional energy market dynamics, such as technological innovation, regulatory frameworks, or investor sentiment. Furthermore, the findings highlight that REEs tend to have a more substantial relationship with both oil prices and oil volatility compared to AFs. Recognizing the distinct sensitivities and market behaviours of these sub-sectors can enable more informed decision-making and resource allocation. Full article

To effectively decarbonize Europe’s building stock, it is crucial to monitor the progress of energy consumption and the associated emissions. This study addresses the challenge by developing a national-scale urban building energy model (nUBEM) using artificial intelligence to predict non-renewable primary energy consumption and associated GHG emissions for residential buildings. Applied to the case study of Spain, the nUBEM leverages open data from energy performance certificates (EPCs), cadastral records, INSPIRE cadastre data, digital terrain models (DTM), and national statistics, all aligned with European directives, ensuring adaptability across EU member states with similar open data frameworks. Using the XGBoost machine learning algorithm, the model analyzes the physical and geometrical characteristics of residential buildings in Spain. Our findings indicate that the XGBoost algorithm outperforms other techniques estimating building-level energy consumption and emissions. The nUBEM offers granular information on energy performance building-by-building related to their physical and geometrical characteristics. The results achieved surpass those of previous studies, demonstrating the model’s accuracy and potential impact. The nUBEM is a powerful tool for analyzing residential building stock and supporting data-driven decarbonization strategies. By providing reliable progress indicators for renovation policies, the methodology enhances compliance with EU directives and offers a scalable framework for monitoring decarbonization progress across Europe. Full article

This study is based on the stock returns of 11 subindustry markets in the international clean energy market from 2010 to 2024 and constructs a skewed t distribution dynamic factor copula model. The time-varying load factor is used to characterize the correlation between a single subindustry market and the entire system, and the joint probability of distress is calculated as a measure of the overall level of systemic risk. Two indicators, Systemic Vulnerability Degree and Systemic Importance Degree, are introduced to evaluate the vulnerability of a single subindustry market in systemic risk and its contribution to systemic risk. A conditional risk-spillover index is constructed to measure the risk-spillover level between subindustry markets. This method fully considers the individual differences and inherent correlations of the international clean energy market subsectors, as well as the fat tail and asymmetry of returns, thus capturing more information and more timely information. This study found that the correlation between subindustry markets changes over time, and during the crisis, the market correlation shows a significant upward trend. In the measurement of the overall level of systemic risk, the joint probability of distress can identify the changes in systemic risk in the international clean energy market. The systemic risk of the international clean energy market presents the characteristics of rapid and multiple outbreaks, and the joint default risk probability of the whole system can exceed 0.6. The outbreak of systemic risk is closely related to a series of major international events, showing a strong correlation. In addition, the systemic vulnerability analysis found that the biofuel market has the lowest systemic vulnerability, and the advanced materials market has the highest vulnerability. The energy efficiency market is considered to be the most important market in the system. The advanced materials market and renewable energy market play a dominant role in the risk contribution to other markets, while the geothermal market, solar market, and wind energy market are net risk overflow parties in the tail risk impact, and the developer market and fuel cell market are net risk receivers. This study provides a theoretical basis for systemic risk management and ensuring the stability of the international clean energy market. Full article