A Qualitative Assessment of a Full-Service Network Airline Sustainable Energy Management: The Case of Finnair PLC

The objective of this study was to examine Cargolux International Airlines, one of the world’s largest dedicated all-cargo airlines, carbon footprint and to identify how it has been influenced by its route network expansion and the operation of the next-generation, Boeing B747-8 freighter aircraft. The study covered the period 2005 to 2018. To achieve the objectives of the study, an in-depth qualitative longitudinal case study research approach was used. The data that was sourced for the study was examined using document analysis. The study found that Cargolux International Airlines annual carbon dioxide (CO2) emissions increased from 2,845,000 tonnes in 2005 to 4,093, 521 tonnes in 2018. The increase in the airline’s annual carbon dioxide (CO2) emissions is due to a higher level of services, route network expansion, and an increase its fleet of freighter aircraft. Over the study period, Cargolux’s annual carbon dioxide emissions (CO2) per available tonne kilometre (ATK) exhibited a downward trend, decreasing from a high of 386.5 grams per available tonne kilometre (ATK) in 2006 to a low of 330.8 grams per available tonne kilometre (ATK) in 2018. A similar trend occurred with the airline’s annual carbon dioxide emissions (CO2) per freight tonne kilometre (FTK), which decreased from a high of 540 grams per freight tonne kilometre (FTK) in 2011 to a low of 330.8 grams per available freight tonne kilometre (FTK) in 2017. These trends were very favourable given the expansion in services and in enplaned air cargo tonnages throughout the study period. The case study revealed that the airline’s fleet rollover plan, in which Cargolux acquired a fleet of 14 state-of-the art Boeing B747-8 freighters, has resulted in the most substantial reductions in carbon dioxide (CO2) emissions. The more favourable fuel efficiency of this aircraft results in lower carbon dioxide (CO2) emissions for their operators. In addition to operating a modern fuel-efficient fleet, Cargolux has implemented a very broad range of measures and initiatives that are designed to mitigate its carbon footprint from both its flight and ground operations. 
 
 

This paper summarizes the outcomes of the international sustainable energy management workshop as part of the Water Research Foundation project “Decision Support System for Sustainable Energy Management.” This paper provides a review of key decisions and barriers to water utility energy management. This paper also provides a discussion of a decision framework to address sustainable energy management in the water/wastewater industry. This work represents a 17 utility, international cooperative project, aimed at creating a Decision Support System (DSS). When concluded, the assembled tool is expected to help identify energy, greenhouse, and cost-saving approaches that will be of wide practical benefit to water utilities.

The industrial sector has recently been at the forefront of discussions over sustainable energy management and the increasing demand for power on a worldwide scale. This paper analyzes a wide class of sustainable energy technologies and industrial energy management techniques that enable low-carbon operations and energy efficiency. In addition to working with advancements in energy storage technologies and energy-efficient manufacturing processes, it investigates the incorporation of green hydrogen, sustainable wind, solar, biomass, and other renewable energy sources. Optimization, predictive maintenance, and real-time energy monitoring are some of the digital technologies studied in this context. Digital information processing through Big Data analytics, AI, and the Internet of Things (IoT) are all part of these technologies. The circular economy methods, such as smart grids, combined heat and power (CHP) systems, Waste to Energy (WtE) technologies, etc., are also reviewed in the paper. Furthermore, thermos socks are supportive in that it needs global regulatory reach, such as ISO 50001, corporate and sustainability reporting support energy transition goals. This work synthesizes recent developments and best practices to provide valuable insights about the emerging field of sustainable industrial energy management, carrying a dedicated potential to advance an industrial community to a future in which the industrial sector is more sustainable, efficient, and robust

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.

As the number of Internet of Things devices is rapidly increasing, there is an urgent need for sustainable and efficient energy sources and management practices in ambient environments. In response, we developed a high-efficiency ambient photovoltaic based on sustainable non-toxic materials and present a full implementation of a long short-term memory (LSTM) based energy management using on-device prediction on IoT sensors solely powered by ambient light harvesters. The power is supplied by dye-sensitised photovoltaic cells based on a copper(ii/i) electrolyte with an unprecedented power conversion efficiency at 38% and 1.0 V open-circuit voltage at 1000 lux (fluorescent lamp). The on-device LSTM predicts changing deployment environments and adapts the devices' computational load accordingly to perpetually operate the energy-harvesting circuit and avoid power losses or brownouts. Merging ambient light harvesting with artificial intelligence presents the possibility of developing fully autonomous, self-powered sensor devices that can be utilized across industries, health care, home environments, and smart cities.

Buildings consume a significant amount of energy throughout their lifecycle; Thus, sustainable energy management is crucial for all buildings, and controlling energy consumption has become increasingly important for achieving sustainable construction. Digital twin (DT) technology, which lies at the core of Industry 4.0, has gained widespread adoption in various fields, including building energy analysis. With the ability to monitor, optimize, and predict building energy consumption in real time. DT technology has enabled sustainable building energy management and cost reduction. This paper provides a comprehensive review of the development and application of DT technology in building energy. Specifically, it discusses the background of building information modeling (BIM) and DT technology and their application in energy optimization in buildings. Additionally, this article reviews the application of DT technology in building energy management, indoor environmental monitoring, and building energy efficiency evaluation. It also examines the benefits and challenges of implementing DT technology in building energy analysis and highlights recent case studies. Furthermore, this review emphasizes emerging trends and opportunities for future research, including integrating machine learning techniques with DT technology. The use of DT technology in the energy sector is gaining momentum as efforts to optimize energy efficiency and reduce carbon emissions continue. The advancement of building energy analysis and machine learning technologies is expected to enhance prediction accuracy, optimize energy efficiency, and improve management processes. These advancements have become the focal point of current literature and have the potential to facilitate the transition to clean energy, ultimately achieving sustainable development goals.

This article presents a case study conducted in Nigeria Federal Capital Territory, examining the current status, challenges, and potential strategies for sustainable energy management in tertiary educational buildings. The research analyzes the energy consumption patterns, prevalent sources, and the diverse appliances used in lecture halls across six (6) selected institutions. Findings reveal lights, fans, projectors, computers, speakers, and microphones as the most combined and essential items for lecture environment as recorded by 25.7% of the respondents and about significant 72.2% of respondents lack awareness regarding their lecture hall's energy consumption, emphasizing an information gap that may hinder the adoption of sustainable energy management practices. Despite this, a considerable proportion 27.5% expresses satisfaction with current energy consumption levels, indicating potential complacency and a need for heightened awareness. Notably, varied perceptions of about 58.2% exist regarding excessive energy usage and the potential for reduction without compromising service quality. The study identifies barriers to implementing sustainable energy management practices, with staffing limitations, complex decision-making processes, and initial costs ranking highest with an Relative Importance Index (RII) of 0.772, 0.759 and 0.762 respectively. Conversely, strong leadership commitment, sustainability education in the curriculum, and environmental regulations emerge as key drivers for fostering sustainable energy management practices with an average RII of 0.791, 0.779 and 0.778 respectively. Proposed strategies for enhancing sustainable energy management include the deployment of smart grid systems, educational initiatives for students and staff, efficient building designs, and the implementation of renewable energy sources. Respondents exhibit a willingness to embrace these strategies, contingent on the availability of necessary resources and support. In conclusion, this research underscores the need for improved data collection on energy consumption, heightened awareness campaigns, and strategic policy interventions to facilitate the transition to sustainable energy practices in educational buildings.

The development of tourist destinations has been determined by sustainable energy management and the advancement of traditional methods. The rate of development must adapt to technological innovations while also considering future generations. The present study aims to determine to what extent tourism personnel are aware of the skills, knowledge, and methods for sustainable energy management, and also to analyze the Internet of Things as a technological solution for sustainable energy management at tourism destinations in India with the help of the Servqual method. It is important to implement modern technologies such as internal things and develop a sustainable attitude toward tourism. Findings suggested that over each attribute of Servqual model, reliability, assurance, tangibles, empathy and responsiveness of IoT as sustainable energy management solutions at tourism destinations in India, tourism stakeholders have higher level of expectations (23.41, 19.86, 18.45, 23.60 and 24.73) and perceptions (18.34, 16.50, 14.97, 18.17 and 19.20) followed by tourists expectations (22.10, 17.36, 16.01, 22.62 and 21.87) and perceptions (19.32, 11.75, 09.46, 15.06 and 17.43) and local residents expectations (20.17, 14.61, 14.87, 19.46 and 18.81) and perceptions (13.48, 08.85, 07.73, 13.54 and 12.94), respectively. Results also showed that older generations and traditional tourism destinations are unable to cope with the modern advanced terminology, tools, and management strategies, which makes the present study the most significant about changing the traditional way of energy management and developing tourism destinations as sustainable and responsible.

Electricity energy is vital in social and economic for nation development. The electricity consumption analysis plays an important role for sustainable energy and electricity resources management in the future. In this paper, the influence of demographical variables on the annual electricity consumption in Nakhonratchasima has been investigated by multiple regression analysis. It is founded that the electricity consumption correlated with four demographic variables, which are the number of electricity consumers, the amount of high speed diesel usages, the number of industrial factory and the number of employed labor force. The historical electricity consumption and all variables for the period 20022010 have been analyzed in 8 models for electricity prediction in 2011. In conclusion, the effective model has been selected by comparison of adjusted R2, mean absolute error (MAE) and root mean squared error (RMSE) of the proposed models. Model 8 is acceptable in relation to electricity consumption analysis with adjusted-R2, RMSE and MAE equal to 0.9980, 0.7540% and 0.6095% respectively. The results indicate that the model using all four variables has strong ability to predict future annual electricity consumption with 4,195,837,877 kWh in 2011.

The article is dedicated to developing analytical tools for sustainable electric energy management in the energy savings system based on the consumer-regulator model and analytical and logistic approach principles. It has been established that one of the tools for sustainable electric energy management is energy efficiency and energy savings to increase efficiency in using the energy resources available to ensure the full functioning of the domestic energy system. Involving a household consumer in sustainable electric energy management processes as a business partner will allow one to balance all market participants’ interests in self-regulating the electricity consumption amount to meet their own needs. The features of new groups of household consumers of energy have been clarified and identified based on their readiness for technical participation in the electricity distribution system and load regulation, as well as their potential to attract funds to the development of the energy system. A complex model of a consumer involved in regulating electricity consumption has been proposed using an analytical and logistic approach. That proved it possible to reduce the power system load during the peak hours at 10:00 p.m. by 8.18 kWh, particularly for the «C-3» household type during the winter period, and to balance the nighttime declines in electricity consumption at the level of about 6 kW during the 11:00 p.m. to 7:00 a.m. period. It has been substantiated that consumers’ transition to nighttime consumption should be accompanied by improved tariff schemes to balance the interests of both household consumers and energy suppliers based on sustainable management principles.

A novel PSO (Particle Swarm Optimization)-based approach for optimal schedule of refrigerators using experimental models

Annual electricity consumption prediction and future expansion analysis on dairy farms using a support vector machine

Artificial immune simulation for improved forecasting of electricity consumption with random variations

Purpose: The general objective of this study was to analyze smart grid technologies and their role in sustainable energy management. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to smart grid technologies and their role in sustainable energy management. Preliminary empirical review revealed that smart grid technologies significantly transformed energy management by enhancing sustainability, reliability, and efficiency through advanced metering, real-time analytics, and improved communication networks. These technologies enabled better integration of renewable energy sources, reduced greenhouse gas emissions, and empowered consumers with detailed energy usage information, leading to cost savings and increased energy efficiency. However, challenges such as high implementation costs, infrastructure needs, regulatory hurdles, and cybersecurity risks were identified. The study highlighted the importance of continued research, supportive policies, and public engagement to optimize smart grid deployment and achieve a more sustainable energy system. Unique Contribution to Theory, Practice and Policy: The Diffusions of Innovations Theory, Socio- Technical Systems Theory and Actor- Network Theory may be used to anchor future studies on smart grid technologies. The study recommended adopting a multidisciplinary approach to smart grid research, enhancing interoperability through standardized protocols, and investing in workforce training. It emphasized supportive regulatory frameworks, including incentives and dynamic pricing models, to promote smart grid adoption. Public awareness and engagement were deemed crucial, suggesting educational campaigns to increase consumer participation. The study highlighted the importance of international collaboration for knowledge sharing and called for continuous investment in research and development to drive technological advancements and ensure the sustainability and efficiency of smart grid systems.

The article defines the dominant position of general aviation to ensure passenger transportation, to render the sanitary aviation and the Ministry of Emergencies services, taking into consideration the natural and climatic conditions of the Russian Federation Eastern Arctic. It analyzes the current state of the transport system of this territory, which is characterized by the railway communication lack, available roads for only seasonal purpose – winter roads, and the key role of water transport in the organization of freight transport based on the complex long-term (more than one year) multimodal delivery schemes, extremely high cost of regional and local air transportation. The purpose of the study is to analyze the state of the general aviation system in the Eastern Arctic of Russia and identify the factors, constraining its development, and to formulate proposals for their elimination. The article examines the state of the operating airport network, route network and operators’ fleet of aircraft – in service which render services to these territories. The limited airport network does not provide aviation accessibility to each settlement of the Arctic zone and causes transport discrimination. The lack of scheduled flights in local communication leads to increased waiting time for transportation and reduces demand. The outdated general aviation fleet with low economic efficiency is outcompeted by the helicopter service. The cost of a helicopter flight hour in the Arctic is 500–650 thousand rubles. The article considers the legal restrictions, that are associated with overstated requirements for companies and aviation enterprises serving the general aviation activities and hinder the development of local air transportation in the Arctic zone. Based on the analysis of foreign experience, the areas of focus to improve the Russian legislation, regulating the general aviation activities, which will allow us to reduce the costs to maintain the airport network, thereby stimulating its expansion for the purpose of increasing the level of transport accessibility to remote settlements of the Arctic zone, are proposed. The proposed measures to improve the air transport system in the Arctic zone are aimed to achieve the formulated targets.