Energy Environmental Management Research Articles

Highly efficient Cu-Fe containing prussian blue analogs (PBAs) for excellent electrocatalytic activity towards overall water splitting

Hydrogen generation by water electrolysis is considered a clean, green, and renewable approach for sustainable energy demands and environmental management. The efficient use of earth-abundant transition metal catalysts is cost-effective and limits the usage of noble metal catalysts like IrO2, RuO2, and Pt/C. The PBAs (Prussian Blue Analogs) are a class of transition metal hexacyanoferrates that can be tailored for specific electrochemical reactions. Both iron and copper are well-proven transition metals for catalytic activities owing to their aptitude to achieve much-pronounced reactant transformations under minor circumstances, as well as their environmental friendliness, cyclability, and long-term durability at 10 mA cm−2 in 1.0 M KOH, the greenly synthesized Fe8Cu2CN (PBAs) on NF (Nickel foam) displays a low overpotential of 150 mV (118 mV dec−1) for HER (Hydrogen Evolution Reaction) and 290 mV (112 mV dec−1) for OER (Oxygen Evolution Reaction). Fe8Cu2CN displays ultra-stable behavior (150 h) with a slight current loss of 4.2 % for OER and 3.4 % for HER, respectively. The interaction of Fe, Cu, and CN (cyanide) enhances the rate of reaction kinetics. The designing of a water electrolyzer that delivers 10 mA cm−2 at 1.60 V is made possible with the help of the improved bifunctional catalyst Fe8Cu2CN/NF. The Fe8Cu2CN/NF//Fe8Cu2CN/NF exhibits long-last durability (over 180 h) with a negligible current reduction of 5.4 %. The improved effectiveness of the synthesized catalyst is demonstrated by the solar water splitting at 1.66 V. These findings suggest that Fe8Cu2CN/NF//Fe8Cu2CN/NF can be used to produce large quantities of H2 at very affordable prices.

Study of Environmental Economic Performance According to Energy Use and CO2 Emissions, Air Quality, and Government Policies to Achieve SDGs in Baubau City

Economic development is required to prioritize aspects of sustainability, namely by not ignoring environmental elements to ensure the benefits of future generations. This study focuses more on presenting development achievement information (in GDP) on ecological performance through energy use, CO2 emissions, air quality, and environmental management by taking the case of medium-scale cities as a differentiator from previous studies. Ecological performance using the standard issued by AGCI. It was found that economic performance was under pressure as indicated by slowing economic growth. Seven sectors make up the GDP structure which is in the process of using energy and producing CO2 emissions. Environmental quality is maintained, and the government's seriousness in creating environmentally sound economic development is demonstrated by the regulations that govern this matter.

A study on the integrated implementation of supplementary cementitious material and coarse aggregate for sustainable concrete

This paper presents the investigation of energy efficacy, strength maturation, and environmental management of palm oil industrial waste materials, such as palm oil fuel ash (POFA) and oil palm shell (OPS). The industrial by-product POFA was used as partial, and the agro-based waste material OPS was employed as an absolute replacement of ordinary portland cement (OPC) and conventional natural coarse aggregate, respectively, in manufacturing sustainable lightweight concrete. The fresh concrete properties (workability and density), ultrasonic pulse velocity (UPV), compressive strength, water absorption, residual strength, thermal conductivity, and microstructural analysis have been investigated and reported. Four different concrete mixes with densities ranging from 1610 kg/m3 to 1935 kg/m3 were produced by replacing the OPC with POFA by a weight proportion of 0%, 10%, 30%, and 50%. Maximum compressive strength of 42.8 MPa was found at 365-day for 10% POFA based oil palm shell concrete (OPSC). The samples were exposed to selected peak temperatures (400 °C) to determine the residual strength at 28-, 56-, 90-, and 365-day. The UPV and compressive strength tests were performed for both heated and normal samples. The energy-saving status for POFA based OPSC was investigated by performing the thermal conductivity test at 365-day. The thermal conductivity of POFA based OPSC exerted lower values compared to that without POFA. The microstructure with the phase of developed fibrous C–S–H and pores inside the concrete were characterized and analyzed by scanning electron microscopy (SEM) images. The largest micro-cracks between coarse aggregates and cement paste were found in concretes containing 50% POFA, and the smallest one was for 10% POFA based OPSC. Considering the optimization in terms of compressive strength, thermal conductivity, residual compressive strength, and microstructural analysis, it is recommended that the inclusion of POFA in OPSC can be considered a structural grade concrete along with the thermal insulation.

Sustainable energy and environmental management practices in the recreation and tourism industries in Nsukka metropolis of Enugu State

Sustainable energy and good environmental management practices are potent factors that can be used to achieve clean energy and sustainable economic growth. This is a global problem that needs immediate action and intervention to reduce the adverse impact of climate change to humanity. This study investigated the sustainable energy and environmental management practices in the recreation and tourism industries in Nsukka metropolis of Enugu State. The descriptive research design was adopted for the study. The population of the study consisted of 209 recreation and tourism service providers in Nsukka Metropolis. Instrument for data collection was a structured questionnaire which was validated by three experts from the University of Nigeria, Nsukka. The instrument has a reliability coefficient of 0.81. Frequency and percentages were used to determine level of sustainable energy and environmental management practices, while phi coefficient was used to determine relationship between sustainable energy and environmental management practices. Findings showed that recreation and tourism possess very low level of knowledge of sustainable energy use. They however showed positive attitude towards sustainable energy through the adoption of energy saving devices like energy bulbs, solar PVs etc. There is strong positive relationship between knowledge of sustainable energy and environmental management practices. The researchers recommended that government should improve on its effort to create awareness of sustainable energy use and environmental management practices among the populace if the problem of climate change is to be abated.

Fintech and energy efficiency: Evidence from OECD countries

This study aims to analyze the impact of financial technology (Fintech) on energy efficiency. Using data from the OECD national panel for 2000–2018, this study examines the direct and indirect effects of fintech on energy efficiency using the undesirable super-efficiency three-stage SBM model. The results show that: (1) The overall trend of energy efficiency in the third stage after adjustment is close to that of the first stage, and the average values decrease. (2) Fintech directly contributes to the improvement of energy efficiency in OECD countries. And it indirectly enhances energy efficiency by increasing renewable energy consumption or environmental management patents. (3) Fintech companies specializing in the energy sector or located in North America can contribute more significantly to energy efficiency. The results may provide useful information regarding the development of fintech and energy efficiency in OECD countries.

Nitrogen flow in livestock waste system towards an efficient circular economy in agriculture.

The race is on to achieve an important level of efficiency in the attainment of a circular economy in agriculture especially with the aim of sustainable nitrogen management. This cycle in the agricultural sector cuts across livestock farming, agriculture-induced waste generation, recycling and utilization, energy generation, crop production, ecosystem protection and environmental management through the mitigation of climate changes. In this work, we assess the process and functionalities of livestock waste generated from the piggery farm and their combinations with other by-products such as biochar and ash in comparison with mineral fertilization as sources of nitrogen applied in agricultural soil. The experiment was performed in a controlled environment with wheat (Triticum aestivum L.) grown in a neutral and an acidic soil. Pig manure was used as the primary feedstock, fed and processed to biogas and nutrient-rich digestate by the anaerobic digestion process. The results revealed that the co-amendments of pig manure digestate with biochar and ash had complimentary positive effect on measured indices such as mobile potassium, phosphorus, biomass yield and nitrogen use efficiency. The mineral nitrogen fertilizer significantly induced carbon dioxide emissions from day 35 when compared to emissions from the organic amendments. In contrast, the organic amendments influenced nitrous oxide emissions from the onset till day 30 before flattening out. The individual combination of pig manure digestate with biochar and ash had a negative influence on enzymatic activity (dehydrogenase). Soil microbial biomass carbon was induced across all treatments in both soil types. Pig manure digestate + ash and pig manure digestate had 32.1 and 48.8% soil microbial biomass increase in neutral soil and acidic soil, respectively. Overall, the processing and application of single-use amendment or in combination with biochar and ash holds huge potential in the optimization of nitrogen and carbon efficiency towards sustainable soil management via improving soil quality, carbon sequestration and climate change.

Recent advances in the application of carbon nitrides for advanced water treatment and desalination technology

Carbon nitride (CN) and its different derivatives have received increased research consideration in current materials science because of its extensive range of potential applications in environmental protection. At present, the graphitic CN (g-C3N4), an important two-dimensional layered material, has been used in different areas like energy conversion, photocatalysis, and environmental contamination management. Its derivatives have also drawn huge research attention because of its intrinsic characters of their stable chemical and physical properties, eco-friendly nature, and inexpensive feature. This review focuses on the recent studies discussing the application of CNs for desalination and water treatment. In this study, the membrane-based application, photocatalytic application, adsorption application, and electrode-based application of CNs for water treatment and desalination have been discussed. In the membrane-based application, the use of microporous g-C3N4, microporous C2N, and microporous C3N for desalination (reverse osmosis, forward osmosis, nanofiltration), pervaporation, ultrafiltration, oil-in-water separation, and dye separation have been detailed. Moreover, the photocatalytic degradation of organic pollutants (dyes, pharmaceuticals, etc.) and metal ions by CNs have been examined in detail. Further, the adsorption application of CNs for the adsorption of dyes, metal ions, and surfactants has been studied. It was noted that CN and its different derivatives are suitable candidates as membrane materials, photocatalysts, adsorbents, and electrode materials for their effective application in desalination and water treatment.

Porous BiVO4/Boron-Doped Diamond Heterojunction Photoanode with Enhanced Photoelectrochemical Activity.

Constructing heterojunction is an attractive strategy for promoting photoelectrochemical (PEC) performance in water splitting and organic pollutant degradation. Herein, a novel porous BiVO4/Boron-doped Diamond (BiVO4/BDD) heterojunction photoanode containing masses of ultra-micro electrodes was successfully fabricated with an n-type BiVO4 film coated on a p-type BDD substrate by magnetron sputtering (MS). The surface structures of BiVO4 could be adjusted by changing the duration of deposition (Td). The morphologies, phase structures, electronic structures, and chemical compositions of the photoanodes were systematically characterized and analyzed. The best PEC activity with the highest current density of 1.8 mA/cm2 at 1.23 VRHE was achieved when Td was 30 min, and the sample showed the highest degradation efficiency towards tetracycline hydrochloride degradation (TCH) as well. The enhanced PEC performance was ascribed to the excellent charge transport efficiency as well as a lower carrier recombination rate, which benefited from the formation of BiVO4/BDD ultra-micro p-n heterojunction photoelectrodes and the porous structures of BiVO4. These novel photoanodes were expected to be employed in the practical PEC applications of energy regeneration and environmental management in the future.

Research on Energy Saving and Environmental Protection Management Evaluation of Listed Companies in Energy Industry Based on Portfolio Weight Cloud Model

Under the background of the “carbon peaking and carbon neutrality” strategy, energy saving and environmental protection (ESEP) management has become one of the most important projects of enterprises. In order to evaluate the ESEP management level of listed companies in the energy industry comprehensively, this study puts forward the evaluation framework of “governance framework-implementation process-governance effectiveness” for ESEP management level. Based on the comprehensive collection and collating of related information reports (e.g., sustainable development reports) of listed energy companies from 2009 to 2018, the ESEP information was extracted, and the portfolio weight cloud model was used to evaluate the ESEP management status of listed energy companies in China. It is of great theoretical innovation and practical significance to promote the evolution of the economy from “green development” to “dark green development”. The results show that: (1) the number of SHEE information released by listed companies in the energy industry shows a steady increasing trend, but the release rate is low, and there are differentiation characteristics in different industries. (2) The ESEP management level of most listed companies in the energy industry is still at the low level, and only 17.19% (S = 65) of the sample companies are at the level of “IV level-acceptable” and “V level-claimable”. (3) In terms of governance framework-implementation process-governance effectiveness, B1-governance framework (Ex = 3.4451) and B2-implementation process (Ex = 2.9480) are relatively high, but B3-governance effectiveness (Ex = 2.0852) and B4-public welfare (Ex = 2.0556) are relatively low. The expectation of most ESEP evaluation indexes fluctuates between “III level-transition level” and “II Level-improvement level”. Finally, some suggestions are put forward to improve ESEP management levels.

Construction 4.0 technologies and applications: a systematic literature review of trends and potential areas for development

PurposeBased on the systematic literature review, this paper aims to propose a framework of Construction 4.0 (C4.0) scenarios, identifying Industry 4.0 (I4.0) enabling technologies and their applications in the construction industry. The paper reviews C4.0 trends and potential areas for development.Design/methodology/approachIn this research, a systematic literature review (SLR) methodology has been applied, including bibliographic coupling analysis (BCA), co-citation network analysis of keywords, the content analysis with the visualisation of similarities (VOSviewer) software and aggregative thematic analysis (ATA). In total, 170 articles from the top 22 top construction journals in the Scopus database between 2013 and 2021 were analysed.FindingsSix C4.0 scenarios of applications were identified. Out of nine I4.0 technology domains, Industrial Internet of Things (IIoT), Cloud Computing, Big Data and Analytics had the most references in C4.0 research, while applications of augmented/virtual reality, vertical and horizontal integration and autonomous robotics yet provide ample avenues for the future applied research. The C4.0 application scenarios include efficient energy usage, prefabricated construction, sustainability, safety and environmental management, indoor occupant comfort and efficient asset utilisation.Originality/valueThis research contributes to the body of knowledge by offering a framework of C4.0 scenarios revealing the status quo of research published in the top construction journals into I4.0 technology applications in the sector. The framework evaluates current C4.0 research trends and gaps in relation to nine I4.0 technology domains as compared with more advanced industry sectors and informs academic community, practitioners and strategic policymakers with interest in C4.0 trends.

The sampling interface—A critical Theory of Sampling success factor in process sampling and PAT

In the process industry arena, analytical endeavors are today well served by the Process Analytical Technology (PAT) framework, offering a plentitude of on-line analytics, mostly spectroscopic: UV-VIS, NIR, RAMAN, NMR, “acoustic chemometrics” a.o. This context is generally considered satisfactory, but there is a major catch. The present paper focuses on a fundamental feature in process sampling, the link between an on-line analytical technique and a moving stream of matter, which is to be characterised, monitored, and analysed. A process sampling operation can serve many objectives; process regulation, product or interim product characterisation, optimisation of raw material consumption, maximizing energy efficiency, pollution, and environmental impact management ‒ or process, plant, company, corporation decision making at supervisor and management levels concerning economics and risk management. All these objectives can only be meaningfully undertaken if based onrelevant information, that is, if based on reliable analytical data, which in turn is 100% dependent upon representative samples, or representative sensor signals. The singular common element in all of this is the process sampling interface. This paper develops a critique of most current interfaces, with a scathing verdict: the dual role of the process sampling interface as both delineating an appropriate aliquot volume while facilitating the specific analytical technique, has largely been overlooked, with a significant negative effect that is spelled out in full detail across implemented solutions across widely different application sectors. Most current process sampling interfaces do not comply with TOS’ demands, putting representativity severely at risk for heterogenous materials.

THE CONTENT OF PROFESSIONAL TRAINING IN CIRCULAR ECONOMY IN THE FIELDS OF EDUCATION: THE REPUBLIC OF POLAND

The article considers the content of training specialists in circular economics in the Republic of Poland in the process of postgraduate education in various fields on the experience of Silesian University of Technology. The article stresses that this allows gaining knowledge on circular economy by specialists of various profiles and directing their professional activities towards solving strategic environmental problems in accordance with the goals of sustainable development of society. Curricula and forms of training in the following areas are analyzed: environmental engineering and energy, waste management economics, alternative fuels and waste energy use, air protection and environmental management systems, water supply security systems. Analysis of the curricula of such training in different areas allows us to state that the training lasts no more than two semesters, is carried out by correspondence, which provides an opportunity to combine training with professional activities. Among the forms of education, preference is given to lectures, given the novelty of the subject and the lack of relevant educational and methodological literature, textbooks and more. It should be emphasized that the training process uses the latest documents and programs of the European Union. It is shown that this problem is becoming increasingly important for Ukraine, as the restoration of Ukraine after the war will require such specialists to develop it. Therefore, a promising task is to analyze the possibilities of introducing professional training in circular economy in Ukraine in the system of both higher and postgraduate education.

An Assessment of Green Rural Road Criteria and Elements for My Green Rural Road Index: A Case Study in Pengerang, Johor

The rural road networks were built to connect the rural people to the town area or to other destination required by the local residents. Normally the rural roads will be developed to connect or increase the socio-economic opportunity in rural area. The green road is one of the key areas that can be look into to create the sustainable concept based on three key aspects namely social, environmental and economic factors. The main focus of the economy aspect is to increase the profits using more efficient resources, especially materials, improving the quality of life by meeting the national needs of social aspects and protecting the environment from the effects of CO2 emissions and efficient use of natural resources for environmental aspects. Therefore, it is important that stakeholders include sustainability criteria in their projects. The application of a sustainable concept on the road can be assessed by the green road evaluation tool. Therefore, the main aim of this study is to build tools to evaluate and declare green rural roads in Malaysia. The data for this study were gathered through group discussions with road construction experts and distributed questionnaires to identify sustainability factors. Then the data were analysed by factor analysis method using SPSS software. Based on the result, there are five main sustainable criteria: Sustainable Design and Construction, Social and Safety, Energy Efficiency, Environmental and Water Management and Materials and Technology that are included in the development of the green road qualification system. The analysis indicates that the social and safety become the prime criteria among other criteria.

Coal Mining Energy Utilization and Environmental Impact Management Strategy Using the LCA Method

Coal mining processing and the clearing of land require that materials which have been removed be carefully inspected before it is reused. In this study, the boundary of our model starts with excavation and ends with material recovery. Therefore, further processing of the material to be recovered (recycling, reprocessing) is excluded from the model. In this study, the topsoil layer was collected in three pits numbered one, two, and three, from January to December 2020. The use of the LCA method gives results after the inventory data is carried out, which results in global warming. The results showed material removal unit process generated a total CO2 value of 32.44 kg CO2- eq.tonne-1 of coal, and the coal mining unit process generated a total CO2 value of 255.99 kg CO2- eq.tonne-1 of coal, for the impact of global warming. When compared to the material removal process, the results of the coal mining unit process show the highest global warming impact. Coal processing gives a yield of 25.61 kg CO2- eq.tonne-1 of coal. So that the resulting impact as a whole is 314 kg CO2- eq.tonne-1 of coal. The total emissions resulting from B30 fuel (314 kg CO2- eq.tonne-1 of coal) are smaller than B20 fuel (320 kg CO2- eq.tonne-1 of coal), 6 kg CO2-eq.tonne-1 of coal. The coal mining process includes fuel used in coal extraction, coal hauling, coal stockpiling, blasting, water pumps, and water tracks.

Green energy harvesting strategies on edge-based urban computing in sustainable internet of things

The development of intelligent urban computing has carried out different critical smart ecological and energy harvesting topics such as intelligent cities and societies. The main concept of the sustainable smart city is established for collecting and negotiation of the Internet of things (IoT) devices and smart applications to help and enhancement of human life. On the other hand, energy harvesting management as an important issue in sustainable urban computing has several challenges arising from the exponential growth of IoT devices, smart applications, and complex population to decrease the related factors on the energy consumption, power-saving, and environmental waste management. However, the notion of energy harvesting management for sustainable urban computing is still growing exponentially, and it should be attended to due to economic factors and governmental obstacles. This paper reviews different existing green energy harvesting strategies on the smart applications of sustainable and smart cities in edge-based intelligent urban computing. The existing energy harvesting strategies have been divided into five categories: smart home management, smart cities, smart grids, smart environmental systems, and smart transportation systems. This review aims to classify technical aspects of energy harvesting management methods in sustainable urban computing concerning applied algorithms, evaluation factors, and evaluation environments. As technical results, a general discussion is essential for the development of existing challenges and open research directions of energy harvesting and waste management for sustainable smart cities that contribute expressively to enhance the energy consumption of smart applications and human life in complex and metropolitan areas.

Study on corporate environmental responsibility measurement method of energy consumption and pollution discharge and its application in industrial parks

The large-scale energy consumption produced by corporates in China's industrial parks has produced a large number of waste discharges. The toxic substances in these wastes have caused a certain degree of environmental pollution, which poses a threat to the living environment, health, and even life of human beings. The measurement method of corporate environmental responsibility and its application, which gradually become a significant issue, have been put forward for improving and solving the increasingly severe environmental pollution problems in industrial parks. Based on the literature review, current situation analysis, and the latest researches, this paper proposes an input-output model considering energy consumption input and unexpected output, improves the input-output model according to the requirements of corporate environmental responsibility measurement, constructs the environmental responsibility improved input-output measurement model of corporate energy consumption and pollution discharge in industrial parks, and selects Nanjing MV Industrial Park as a case to conduct the application test of measuring the corporate environmental responsibility from energy consumption and pollution discharge. The measurement results show that from 2010 to 2018, the responsibilities of energy consumption and environmental treatment, environmental improvement, and the total environment in Nanjing MV Industrial Park have been declining slowly, which shows that the corporate environmental pollution treatment effect of Nanjing MV Industrial Park has been gradually improved. The research results of this paper provide a quantitative analysis method for strengthening the management of corporate environmental responsibility in industrial parks, promoting corporates to strengthen energy conservation and emission reduction, and realizing the sustainable development of industrial parks; for helping the local governments to formulate corporate energy consumption and environmental responsibility management policies in industrial parks and to strengthen the assessment and evaluation of corporate energy consumption and environmental responsibility.

Developing machine learning models for relative humidity prediction in air-based energy systems and environmental management applications

The prediction of relative humidity is a challenging task because of its nonlinear nature. The machine learning-based prediction strategies have attained significant attention in tackling a broad class of challenging nonlinear and complex problems. The random forest algorithm is a well-proven machine learning algorithm due to its ease of training and implementation, as it requires minimal preprocessing. The random forest algorithm has hitherto not been employed for estimating air quality parameters, such as relative humidity. In this study, the random forest approach is implemented to estimate the relative humidity as a function of dry- and wet-bulb temperatures. A well-known commercial process simulator called Aspen HYSYS® V10 is linked with MATLAB® version 2019a to establish a data mining environment. The robustness of the prediction model is evaluated against varying wet-bulb depressions. There is high absolute deviation that indicates a lower prediction performance of the model against the higher wet-bulb depression i.e., ~20.0 °C. The random forest model can predict relative humidity with a 1.1% mean absolute deviation compared to the values obtained through Aspen HYSYS. The performance of the RF estimation model is also compared with a well-known support vector regression model. The random forest model demonstrates 74.4% better performance than the support vector machine model for the problem of interest, i.e., relative humidity estimation. This study will significantly help the practitioners in efficient designing of air-dependent energy systems as well as in better environmental management through rigorous prediction of relative humidity.

Multifunctional electrocatalyst of NiCo-NiCoP nanoparticles embedded into P-doped carbon nanotubes for Energy-Saving hydrogen production and upgraded conversion of formaldehyde

Herein, we report the linearly distributed NiCo-NiCoP nanoparticles embedded into P-doped carbon nanotubes (NiCo-NiCoP@PCT) which are synthesized via the chelation of phytic acid (PA) on the surface of Ni-Co-precursor nanowires and the subsequent thermal reduction. The PA is used not only as chelating agent to form Ni-Co@PA coating but also as solid phosphorus source to safely synthesize heterostructured NiCo-NiCoP. The as-prepared NiCo-NiCoP@PCT used as bifunctional electrodes exhibit superiorly electrocatalytic performance toward both hydrogen evolution reaction (HER) with a low overpotential of 135 mV at 10 mA cm−2 and anodic oxidation reaction of formaldehyde (FOR) with an ultra-low overpotential of 1.18 V to acquire 10 mA cm−2. Besides, when a two-electrode cell is constructed by using NiCo-NiCoP@PCT as anode and cathode, the current density of formaldehyde-based water electrolysis (50 mA cm−2) is 6.25 times bigger than that of conventional water splitting (8 mA cm−2) at the same voltage of 1.76 V. In addition, methanol (CH3OH) is produced simultaneously by hydrogenation reduction reaction of formaldehyde at the cathode, which realized the upgraded conversion of HCHO to small molecular fuel by electrocatalytic reduction. Therefore, it is demonstrated that the two-electrode electrolyzer not only realize the oxidative degradation and upgraded conversion of formaldehyde-based wastewater, but also reduce the energy consumption of water splitting for hydrogen generation. This work presents a new idea of controllable preparation for multifunctional phosphide electrodes and a novel construction of electrochemical cell to realize efficient hydrogen energy preparation and environmental management.

Preface

This proceeding compiles all papers presented in the 8th International Scientific Conference on Sustainability in Energy and Environmental Science (ISCSEES2020), which was held at the Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine on October 21-22 2020.ISCSEES 2020 was a peer-reviewed international conference, which covered research on Sustainability in Energy and Environmental Science, including sustainable development, sustainable and efficient use of energy, natural resource, renewable, smart and green energy development, environmental management, science and technology, environmental restoration, ecological engineering, eco-technology, agriculture and environment sustainability, green enterprise development, modelling and regional environmental assessments, risk management in energy, earth and environment systems, measuring, forecasting and monitoring sustainability, global threats, disaster and mitigation.The 8th International Scientific Conference on Sustainability in Energy and Environmental Science was an event addressed to scientists and professional engineers from all over the world. The conference was aimed to give the opportunity to present and publish their work, discuss, exchange ideas and knowledge as well as network for future collaborations. More than 200 scientists, practitioners, teachers of educational institutions, doctoral students and graduate students from 16 countries participated online in the conference. The conference covered a broad range of questions on sustainability in energy and environmental science related topics and we hope that the conference results constituted a significant contribution to the knowledge in these up-to-date scientific fields.List of Organizing Committee, Science Committee and Programme Committee, are available in this pdf.

Assessment of CO2 emissions for a bulk carrier fleet

Recently, international regulations have started to come into force due to increasing of carbon dioxide (CO2) emissions as a greenhouse gas emission from ships. There are two important emission regulations which are European Union Monitoring, Reporting and Verification (EU-MRV) and International Maritime Organization Data Collection System (IMO DCS) as a Ship Energy Efficiency Management Plan (SEEMP) Part 2, became valid from 2018 to 2019, respectively. Both EU MRV and IMO DCS regulations are mandatory for the ships above 5000 GRT and examine CO2 emissions related to international shipping. Within this framework, the aim of this article involves to guide the shipping companies about energy efficiency and environmental management with comparing energy efficiency measures as novel Fleet Energy Efficiency Management Index (FEEMI), CO2 emissions, CO2 index and Energy Efficiency Operational Indicator (EEOI) values.In this study, firstly, operational energy efficiency values have been analyzed with a voyage details of five bulk carrier ships to assess the possible reasons of the changings by the years of 2017 and 2018. Furthermore, FEEMI have been defined as a novel energy efficiency indicator to evaluate the performance of the shipping companies. Lastly, different scenarios have been carried out to observe the effects of cargo carried capacity and fuel consumption amount on EEOI. As numerical results, the highest CO2 emissions and index values are found for ship C1 as 29,676 tonnes and 54,592 tonnes with 433 × 10−3 tonnesCO2/nmile and 449 × 10−3 tonnesCO2/nmile for the years of 2017 and 2018, respectively. Besides, the lowest energy efficiency operational indicator (EEOI) are calculated for ship C1 as 4.43 × 10−6 tonnesCO2/MT.nmile and 5.06 × 10−6 tonnesCO2/MT.nmile for the years of 2017 and 2018, respectively.