Zero Emission Research Articles

Industrial Organizations Adapting to the Novel EU Taxonomy While Developing Socio-Technical Systems: A Literature Review

The EU taxonomy defines criteria for economic activities committed to a net zero emission by 2050, and other environmental goals. Its overall goal is to direct investments to economic activities aligned with the European Green Deal and, thereby, classified as sustainable. For industrial organizations, there is an urgent need to develop adaptive capabilities to meet the requirements set by the new taxonomy. The present scoping review contributes by analyzing academic publications on this topic through the lens of a complex science and systems approach. It analyzes academic publications on the EU taxonomy, related to industrial organizations and their development of socio-technical systems. At the initial stage, 526 scientific publications were retrieved from three web repositories (Scopus, World of Science, and Scholar). Only eight publications matched the selection criteria and constitute the data of this study. Results indicate that there is a lack of holistic perspectives and an unbalanced system response to the EU taxonomy. Adopting a systems approach can help industrial organizations navigate the intricate dynamics of a sustainable transition, striking a balance between adhering to the EU taxonomy and maintaining market competitiveness. The findings emphasize the importance of trans-disciplinary approaches and the need for agile and adaptive ways of learning inside industrial organizations.

Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants

One of the main goals of the International Energy Agency (IEA) is to manage and utilize clean energy to achieve net zero emissions by 2050. Hydropower plants can significantly contribute to this goal as they are vital components of the global energy infrastructure, providing a clean, safe, and sustainable power source. Accordingly, there is great interest in developing methods to prevent errors and anomalies and ensure full operational availability. With modern hydropower plants equipped with sensors that capture extensive data, machine learning algorithms utilizing these data to detect and predict anomalies have gained research attention. This paper demonstrates that deep learning algorithms are particularly powerful in predicting time series. Three well-known deep learning networks are examined and compared to previous approaches, followed by the introduction of a new, innovative hybrid network. Using real-world data from two hydropower plants, the hybrid model outperforms individual deep learning models by achieving more accurate fault detection, reducing false positives, offering early fault prediction, and identifying faults several weeks before occurrence. These results showcase the hybrid network’s potential to enhance maintenance planning, reduce downtime, and improve operational efficiency in energy systems.

Agroforestry for Carbon Neutrality: An Effective Pathway to Net Zero

Agroforestry is a promising strategy to achieve carbon neutrality and net zero emission, aiming towards the balance between greenhouse gas emissions and equal amount of carbon removal through sequestration Among several methods of carbon sequestration, agroforestry stands out for its unique ability to simultaneously sequester carbon while reducing greenhouse gas emissions, particularly nitrous oxide (N2O) emissions associated with chemical fertilizer use in conventional agriculture. These systems store carbon through multiple pathways like, in above-ground biomass, below-ground root systems, and enhanced soil organic carbon accumulation while maintaining the agricultural productivity. Acknowledged under the afforestation and reforestation programs of the Kyoto Protocol, agroforestry has attracted interest for its several advantages from both industrialized and developing countries for its multifaceted benefits, including its potential to combat desertification and reduce anthropogenic emissions. Beyond carbon sequestration, it enhances soil fertility, supports biodiversity conservation, and provides economic diversification for farmers through multiple income streams. The role of REDD+ (Reducing Emissions from Deforestation and Forest Degradation) negotiations in extending the Kyoto Protocol's second commitment period has further strengthened agroforestry's position in global climate action, particularly through the development of REDD offset credits in compliance carbon markets. The World Agroforestry Centre defines agroforestry as a dynamic, ecologically based natural resources management system that integrates trees on farms and in the agricultural landscape, diversifying and sustaining production for increased social, economic, and environmental benefits. The Association for Temperate Agroforestry (AFTA) defines it as an intensive land management system that optimizes the benefits from biological interactions created when trees and/or shrubs are deliberately combined with crops and/or other natural resources. This review article critically examines agroforestry's crucial role as an effective pathway toward achieving carbon neutrality and net zero goals, synthesizing current knowledge and future prospects.

Durability of carbon dioxide removal is critical for Paris climate goals

Abstract Carbon Dioxide Removal is essential for achieving net zero emissions, as it is required to neutralize any residual CO2 emissions. The scientifically recognized definition of Carbon Dioxide Removal requires removed atmospheric CO2 to be stored “durably”; however, it remains unclear what is meant by durably, and interpretations have varied from decades to millennia. Using a reduced-complexity climate model, here we examined the effect of Carbon Dioxide Removal with varying CO2 storage durations. We found that storage duration substantially affects whether net zero emissions achieve the desired temperature outcomes. With a typical 100-year storage duration, net zero CO2 emissions with 6 GtCO2 per year residual emissions result in an additional warming of 1.1 °C by 2500 compared to permanent storage, thus putting the internationally agreed temperature limits at risk. Our findings suggest that a CO2 storage period of less than 1000 years is insufficient for neutralizing remaining fossil CO2 emissions under net zero emissions. These results reinforce the principle that credible neutralization claims using Carbon Dioxide Removal in a net zero framework require balancing emissions with removals of similar atmospheric residence time and storage reservoir, e.g., geological or biogenic.

Assessing the role of circular economy and green innovation in mitigating carbon emissions in the Visegrad countries

The shift towards a circular economy is an essential measure in achieving sustainable development because it seeks to separate economic expansion from resource use and environmental deterioration. To meet the European Union green deal, waste management, and the net zero emissions targets various countries are developing and adopting prudent strategies. This study investigates the dynamic affiliation between circular economy (CIR), green innovation (INV), renewable energy (REE), economic progress (GDP), and urbanisation (URB) on carbon emissions (CO2) in the Visegrad (V4) countries, comprising the Czech Republic, Hungary, Poland, and Slovakia. Using the CS-ARDL technique and quantile regression, data curation from 1990-2022 was analysed after checking for cross-sectional, unit root, and cointegration. The outcome demonstrates that circular economy, green innovation, and renewable energy had a negative effect on carbon emissions. In addition, GDP and URB had an immaterially positive influence on carbon emissions. Lastly, the quantile regression confirmed that the study provides useful information for policymakers and stakeholders in the Visegrad countries. It emphasised how important it is to take a broad approach to circular economy initiatives, support eco-friendly innovations, carry out renewable energy projects, and manage the urbanisation process well to achieve long-term economic growth and environmental health.

IAQ and ventilation measurements at the “ZEB Laboratory” office building in Norway

This study aims to assess indoor environmental quality (IEQ) within a Zero Emission Building (ZEB) office in Norway, focusing on occupant impact (CO2, temperature, humidity) and materials/substances influence (formaldehyde, particulate matter (PM2.5), total volatile organic compounds (TVOC)). It presents a detailed data collection spanning 14 months from March 30th, 2022, to June 1st, 2023.Occupancy varied significantly, affecting measured indoor air quality (IAQ) parameters, with the lowest temperatures recorded on the second floor and specific areas like the canteen experiencing temperature drops during low usage times. Relative humidity levels remained over 20% in winter despite the building's low occupancy, a notable aspect given Norway's dry winters. PM2.5 levels stayed below World Health Organization (WHO) guidelines, indicating effective pollution management.The study also evaluates the impact of reducing the ventilation rates on IAQ, noting no significant IAQ compromise. An analysis correlating IAQ measurements with building occupants' satisfaction post-intervention revealed that temperature is the most significant factor affecting satisfaction levels, excluding acoustic satisfaction. Occupants generally reported satisfaction with the indoor environmental quality (IEQ), with specific dissatisfaction tied to thermal environment and IAQ, suggesting the importance of temperature control in occupant perception.This research not only provides valuable insights into IEQ management in Zero Energy and Zero Emission office buildings but also emphasizes the critical role of indoor temperature and the potential of wooden structures to stabilize humidity levels, contributing to occupant comfort and satisfaction.

Stronger NDCs With Cities, States, and Regions: Recommendations for National Governments

Climate change poses an unprecedented threat to societies and ecosystems worldwide. Without the rapid reduction of greenhouse gas (GHG) emissions across the globe and bold action to reduce climate impacts, the world will face devastating consequences to be felt for generations to come. Yet current climate commitments are not in line with pathways needed to achieve net zero emissions and meet the goals of the Paris Agreement. Countries can significantly enhance the ambition of their Nationally Determined Contributions (NDCs) through a more collaborative and integrated approach with subnational governments to fully align with the Paris Agreement goals. This document supports national governments in the facilitation of input from subnational governments in the NDC development process. It has been written with the United Nations Framework Convention on Climate Change’s 2025 NDC deadline in mind, but it will support countries beyond this milestone and can be considered a tool for designing all successive NDCs.

Economic Strategies and Efficiency of Power Plants in Indonesia to Achieve Net Zero Emissions

Economic Strategies and Efficiency of Power Plants in Indonesia to Achieve Net Zero Emissions

Organic carbon recycling for net zero emissions and sustainable organic carbon flow between urban and rural areas

Organic carbon recycling for net zero emissions and sustainable organic carbon flow between urban and rural areas

Reinforcement Learning for EV Fleet Smart Charging with On-Site Renewable Energy Sources

In 2020, the transportation sector was the second largest source of carbon emissions in the UK and in Newcastle upon Tyne, responsible for about 33% of total emissions. To support the UK’s target of reaching net zero emissions by 2050, electric vehicles (EVs) are pivotal in advancing carbon-neutral road transportation. Optimal EV charging requires a better understanding of the unpredictable output from on-site renewable energy sources (ORES). This paper proposes an integrated EV fleet charging schedule with a proximal policy optimization method based on a framework for deep reinforcement learning. For the design of the reinforcement learning environment, mathematical models of wind and solar power generation are created. In addition, the multivariate Gaussian distributions derived from historical weather and EV fleet charging data are utilized to simulate weather and charging demand uncertainty in order to create large datasets for training the model. The optimization problem is expressed as a Markov decision process (MDP) with operational constraints. For training artificial neural networks (ANNs) through successive transition simulations, a proximal policy optimization (PPO) approach is devised. The optimization approach is deployed and evaluated on a real-world scenario comprised of council EV fleet charging data from Leicester, UK. The results show that due to the design of the rewards function and system limitations, the charging action is biased towards the time of day when renewable energy output is maximum (midday). The charging decision by reinforcement learning improves the utilization of renewable energy by 2–4% compared to the random charging policy and the priority charging policy. This study contributes to the reduction in battery charging and discharging, electricity sold to the grid to create benefits and the reduction in carbon emissions.

Overcoming implementation barriers to renewable energy in developing nations: A case study of Iran using MCDM techniques and monte carlo simulation

For most of the world's energy portfolio, particularly in developing countries, fossil fuels form a key dependency. The seventh aim of the United Nations' Sustainable Development Goal (SDG7) is to ensure that all people have readily available, consistent, sustainable, modern energy. Developing nations encounter a range of challenges, such as environmental concerns like air pollution and climate change, increasing energy and population demands, and limited resources. These challenges are associated with achieving net zero emissions as well as a shift to renewable, clean energy sources. Using Iran as a case study, this paper addresses the challenges to the advancement of renewable energy in developing nations. It provides strategies to overcome these challenges and raise the acceptance of environmentally friendly technologies. This study uses fuzzy logic, The Analytic Hierarchy Process (AHP), and an integrated fuzzy logic and AHP (fuzzy-AHP) to evaluate and rank numerous solutions. We conducted a Monte Carlo simulation as a sensitivity analysis method to further confirm the robustness of the proposals. This simulation aimed to find out how various criterion weights influenced the ranking of multiple strategies, thereby providing a more sophisticated knowledge of their efficiency. The results indicate that Iran's primary needs, in order of priority, are "revising governmental policies," "enhanced capacity building," and "improving financial support mechanisms." The Monte Carlo simulation underscored the sensitivity of these approaches to changes in criteria weights, therefore reinforcing the validity of these conclusions.

Sustainable Development Goals and Net Zero Emissions Targets: Bibliometric Study

Sustainable Development Goals and Net Zero Emissions Targets: Bibliometric Study

Analisis Potensi Daya Listrik PLTS Atap di Gedung K4 Universitas Negeri Surabaya

In order to utilize the potential of solar energy and support the government in its energy transition efforts and achieve Net Zero Emissions, it is necessary to utilize solar power plants more massively. One thing that can be done is the installation of solar panels on the roof of a building called Rooftop PLTS. This rooftop PLTS is designed on the roof of the K4 Unesa building with an ongrid system because lecture activities only exist from morning to evening. Research conducted to analyze the potential of electrical energy on the roof of the K4 building using OpenSolar software. From the simulation results, the roof of the K4 building can be designed to install 70 solar panels with the LR4-72HPH-450M type and 5 Goodwe GW5K-DT type inverters which can produce 35,478 kWh per year with a PLTS capacity of 31,500 Wp. From the shadow simulation results, it is found that the selected location is optimal because there are no shadows of other buildings, trees or shadows from the solar panels themselves. Then from the POA analysis, it is found that between April to September has a relatively large amount of generation while in February the lowest energy is generated.

Distrust and reflexive impotence in the net zero transition: findings from a longitudinal deliberative mini-public

Responding to climate change requires that people engage in different forms of climate citizenship. These span from individual consumption choices, to taking part in forms of collective action to steer the behaviour of governments and in the private sector. Here we analyse data from the Net Zero Diaries project to explore how attitudes to different forms of climate citizenship develop as people become more aware about the scale of societal change required to reach net zero carbon emissions by 2050. The Net Zero Diaries project was a deliberative mini-public, composed of 41 citizens broadly representative of the UK adult population, which convened over five months between 2021 and 2022 to debate the UK policies for reaching net zero emissions by 2050. We show that people identify government as the prime actor needed to drive the transition, but doubt that they will act due to a range of constraints vis-à-vis the public and private sector. This tension provides a novel explanation for why some people prioritise forms of individual and consumption focused climate citizenship, whilst also doubting the efficacy of such actions. We conclude by suggesting that efforts to drive more engaged forms of climate citizenship need to attend to underlying feelings about state efficacy, rather than focus on just how the issue of climate change is framed.

Comparative LCA of thermal power plant with CCS and solar PV system: sustainability assessment in Indian context.

The study's objective is to evaluate and compare the sustainability of power production techniques for India's transition to clean power generation. It specifically focuses on coal-based power generation with emission control technologies, flue gas desulfurization (FGD) with carbon capture and storage (CCS), and compares it with solar photovoltaic (PV) systems. The study conducted a life cycle assessment (LCA) to determine the environmental impact of electricity generation in each scenario. Inventory data has been collected for each case through plant visits, emission modelling, and literature searches. The study evaluated midpoint and endpoint impact indicators utilizing the ReCiPe (H) assessment methodology. The economic viability of all the cases was determined by calculating the levelized cost of electricity (LCOE). The results showed that retrofitting an existing power plant with flue gas desulfurization (FGD) and carbon capture and storage (CCS) reduced efficiency by 30%, required 1.2 times more auxiliary power, and increased heat rates. The LCA results showed that the global warming potential (GwP) for FGD and CCS together was 0.614 kg CO2 eq. per kWh of power generation. On the other hand, the GwP for the solar PV system was much lower, at 0.043 kg CO2 eq. per kWh. There were trade-offs in both cases, but solar PV plants are more environmentally friendly than thermal power plants equipped with CCS systems in almost all categories. Furthermore, the LCOE results showed Rs 3.87 per kWh for an on-grid solar PV plant and Rs 5.33 for thermal power, with CCS and FGD showing solar as an economically more feasible option. Retrofitting thermal power facilities with emission control technology is necessary to achieve net zero emissions, but transition torenewable energy sources isinevitable.

Burp tax: Regulation and revenue potential in Indonesia

The increasingly urgent phenomenon of climate change requires concrete actions from various sectors, including the livestock sector which is a significant contributor to greenhouse gas emissions, particularly methane. This study explores the potential of implementing Burp Tax in Indonesia as a regulatory mechanism to reduce methane emissions from beef and dairy cattle farms. By referring to New Zealand's experience as a Burp Tax pioneer, this study analyzes the policy scheme that includes tax subjects, tax objects, tariffs, and fair and efficient collection mechanisms. In addition, this study identifies various obstacles that may be faced in the implementation of Burp Tax in Indonesia and provides recommendations to support the national commitment in achieving the Zero Emission target in 2045/2060. The research used qualitative methods with literature study data collection techniques. The research concludes that there is great potential for the imposition of Burp Tax, so that in addition to being a form of effort to reduce methane emissions from beef and dairy cattle farms, Burp Tax can also increase the portion of state revenue from the taxation sector. The specific tariff scheme is IDR30/KgCH4 with tax subjects in the beef and dairy cattle farming sector, including individuals with 30 cows and business entities. However, it is important to note that the imposition of Burp Tax may have an economic impact on livestock business actors and affect the price of meat and milk commodities. Therefore, further studies are needed regarding the potential and impact of Burp Tax implications in Indonesia. The results of this study are expected to make a significant contribution to the development of sustainable taxation policies that are responsive to the challenges of climate change.

Mixed hydrogen and biofuels cement clinker: Characterisation, microstructure, and performance

Over 35 % of the CO2 associated with cement production comes from operational energy. The cement industry needs alternative fuels to meet its net zero emissions target. This study investigated the influence of hydrogen mixed with biofuels, herein designated net zero fuel as an alternative to coal, on the clinker quality and performance of cement produced in an industrial cement plant. Scanning electron microscopy, X-ray diffraction and nuclear magnetic resonance were coupled to study the clinker mineralogy and polymorphs. Hydration and microstructure development in plain and slag blended cements based on the clinker were compared to commercial cement equivalent. The results revealed a lower alite/belite ratio, but a significant proportion of the belite was of the α′H-C2S polymorph. These reacted faster and compensated for the alite/belite ratio. Gel and micro-capillary pores were densified, which reduced total porosity and attained comparable strength to the reference plain and blended cement. This study demonstrates that the investigated net zero fuel-produced clinker meets compositional and strength requirements for plain and blended cement, providing a feasible pathway for the cement industry to lower its operational carbon significantly.

STATE REGULATION OF THE EXTRACTION OF CRITICAL MINERALS AS A DOMINANT COMPONENT OF ACHIEVING THE GOALS OF SUSTAINABLE DEVELOPMENT AND STRENGTHENING THE ECONOMIC SECURITY OF THE STATE

The article states that the climate crisis and measures to mitigate it in recent years have significantly changed the energy landscape of the countries of the world and the configuration of the investment portfolio. Long-term investments in fossil fuels have been replaced by investments in environmentally friendly technologies, renewable sources of electricity, and smart systems for its distribution and storage. It is emphasized that even with full support of investments, plans for the decarburization of the electric power industry may remain unattainable, as the global reserves of «critical minerals», which are absolutely necessary for the transition to ecologically clean electric power, are noticeably decreasing and the demand continues to grow relentlessly. The scenarios developed by the International Energy Agency for the further transformation of the electric power sector to a low-carbon economy model were reviewed and briefly characterized: the scenario of declared policy (STEPS), the scenario of declared obligations (APS), and the scenario of net zero emissions by 2050 (NZE). The main aspects of each of the scenarios are outlined: the volume of demand for «critical minerals» their geographical concentration of extraction, and processing. It is emphasized that the world leader in the extraction and processing of «critical minerals» is the PRC, which dictates the «rules of the game» to the majority of the world's countries. Therefore, the issue of supplies of “critical minerals” is quite painful. It was emphasized that critical minerals market participants hope to reduce total dependence through new mining projects in different geographical regions, facilitating cross-investment opportunities between partner countries, and strengthening cooperation through initiatives such as the Mineral Security Partnership and the implementation of financial instruments. The potential of Ukraine's «critical minerals» and its ability to reduce the dependence of EU countries on the People's Republic of China are characterized. The main challenges of the development of the extractive industry in Ukraine are identified, and the main vectors of the Roadmap of the partnership between Ukraine and the EU regarding critical raw materials for 2023-2024 are outlined. It was emphasized that in order for Ukraine not to become only a supplier of raw materials, it is necessary to develop the processing of raw materials and the production of products with added value. It is emphasized that such localization requires much wider efforts of the government than the list of measures in the field of regulating the extraction of «critical minerals» defined by the latest legislative acts. The author emphasizes the need to develop a comprehensive system of incentives and introduce new opportunities for stabilization and sustainable development of Ukraine's economy in order to ensure sustainability and progress towards sustainable resource management and optimization of supply chains for critical raw materials. Proposals have been developed for climate-smart mining of «critical minerals» in Ukraine in the near future.

Evaluation of potential electric vehicles load-induced damage on flexible pavements

The adoption of Electric Vehicles (EVs), driven by policies like the Zero Emission Vehicle (ZEV) mandate, is rapidly transforming transportation infrastructure. In 2021, over 1.25-million light-duty EVs were registered in the United States, signaling a shift that extends to heavy vehicle categories. This study evaluates the implications of this transition on road networks, focusing on the increased gross weight of EVs compared to traditional Internal Combustion Engine (ICE) vehicles and its impact on flexible pavement structures. The study investigates the deterioration patterns and potential damage to road infrastructures resulting from integrating EVs into the traffic mix, utilizing both the AASHTO 1993 and Mechanistic-Empirical (ME) pavement evaluation methodologies. The analyses reveal a significant acceleration in road degradation, necessitating urgent consideration of EV-induced stresses by transportation authorities. Recommendations for future research and practical strategies for mitigating these impacts are provided to guide policymakers and engineers in adapting to this evolving vehicular landscape.

Critical Success Factors for Building Resilience in Circular Supply Chains of Electric Vehicle Batteries: Evidence from an Emerging Country

Given the global expansion of electric vehicles (EVs), decision makers in developing and emerging countries must address important challenges across EV battery supply chains (EVBSCs) toward circularity. For example, batteries usually make up about 40% of an EVs’ value, and the race to achieve net zero emissions will further underscore the critical need for vital minerals and metals, such as lithium, cobalt, and graphite, necessary to make batteries. Stakeholders routinely question the resilience of circular (C) EVBSCs worldwide, from mining valuable materials to manufacturing the batteries necessary to support the widespread deployment of EVs. Identifying and investigating critical success factors (CSFs) of any system is a necessary step in achieving its targets. Little research, however, has been performed to investigate the CSFs for building resilience in EVBSCs, particularly those focused on building a circular supply chain. The goal of this research is, therefore, to systematically scrutinize the CSFs of resilient C-EVBSCs in Türkiye. To this end, a decision framework applying inter-valued neutrosophic ISM-MICMAC is proposed. Based on expert opinions, an application of the decision framework finds that effective government policies, directives, and incentives and well-established dynamic capabilities, are key driving CSFs to building resilience in a C-EVBSC.