Cet article explore la gestion de l’énergie des jeunes adultes autistes en relation avec le travail, les loisirs et les relations sociales. Les stratégies de gestion de l’énergie permettent aux jeunes adultes autistes de maintenir leur équilibre énergétique en essayant de comprendre ce qui augmente ou réduit leur niveau d’énergie. De cette manière, l’énergie peut être comprise comme un mode de fonctionnalité autistique où les niveaux d’énergie individuels des informateurs, les contextes dans lesquels ils se trouvent et les stratégies qu’ils (...) utilisent influencent et constituent des éléments centraux de leur vie quotidienne. (shrink)

This paper investigates a distributed energy management strategy for the port power system under false data injection attacks. The attacker can tamper with the interaction information of energy equipment, penetrate the boundary between port information system and port power system, and cause serious operation failure of port energy equipment. Firstly, a hierarchical topology is proposed to allocate the security resources of the port power system. Secondly, by reconstructing the topological structure of the port information system, the (...) robustness of the information system is improved, and the impact of false data injection attacks on the port power system is reduced, which realizes secure distributed energy management of the port power system. Finally, the simulation results show the effectiveness of the proposed strategy, and the defense capability of the port power system is improved. (shrink)

Precise prediction of future vehicle information can improve the control efficiency of hybrid electric vehicles. Nowadays, most prediction models use previous information of vehicles to predict future driving velocity, which cannot reflect the impact of the driver and the environment. In this paper, a real-time energy management strategy based on driver-action-impact MPC is proposed for series hybrid electric vehicles. The proposed EMS consists of two modules: the velocity prediction module and the real-time MPC module. In the velocity prediction (...) module, a long short-term memory neural network model, which is trained by the traffic data derived from a VR-based driving simulator, is adopted to predict the future driving information by using driver action information and current vehicle’s velocity. The obtained future driving velocity is treated as the inputs of the real-time MPC module, which outputs the control variables to act on the underlying controllers of power components by solving a standard quadratic programming problem. Compared with the rule-based strategy, a 5.6% average reduction of fuel consumption is obtained. The effectiveness of real-time computation of the EMS is validated and verified through a hardware-in-the-loop test platform. (shrink)

India’s energy demand is predicted to rise by 135% within a span of 20 years. Coping up with surging energy demands requires several reforms in both renewable and non-renewable sectors. Factors such as rising population, reduction in the cost of renewable energy technology and their effect on the nation’s GDP, can make policy making a herculean task and the justification for such policies, quite opaque to the public. Artificial Intelligence technology can help decision makers to quickly draw (...) conclusions from voluminous datasets under different heads. However, AI results need to be post-processed so that they are easily understood by the layperson. This paper focuses on using Sankey diagrams as a post-processing tool for AI systems. Policy formulation often requires an overall assessment of energy sources, production pathways, end used destinations and wastage encountered—these can be easily visualized with a Sankey diagram. For this work, a Sankey protocol was written out in a form where a prompt asks the user to supply information through a spreadsheet interfaced with a customized mobile app—a first anywhere in the subcontinent. India’s mobile sector is vibrant, and the paper presents a enabling the user to have a handle on the dynamics of energy distribution locally. The app gives an instant feel of the apportioned energy across grids, the projected changes for the next decade, the efficiency and feasibility of each sector and lastly a telling visual representation showing the main strengths and weaknesses in the energy sector. (shrink)

In recent years, the green aviation technology draws more attention, and more hybrid power units have been applied to the aerial vehicles. To achieve the high performance and long lifetime of components during varied working conditions, the effective regulation of the energy management is necessary for the vehicles with hybrid power unit. In this paper, power prediction-based model predictive control for energy management strategy is proposed for the vehicle equipped with HPU based on turboshaft engine in (...) order to maintain proper battery’s state of charge and decrease turboshaft engine’s exhaust gas temperature. First, a modeling approach based on data-driven method is adopted to obtain the mathematical model of turboshaft engine considering time delay and inertial of states. An integrated power predictor consisting of the classification of input status and the subpredictors are developed based on the deep learning method to improve the accuracy of the prediction model of the model predictive control. Subsequently, an EMS based on MPC using the proposed power predictor is introduced to regulate the SOC of battery and the EGT of turboshaft engine. The comparison with experimental results shows the high accuracy of mathematical model of turboshaft engine. The simulation results show the effectiveness of the proposed EMS for the vehicle, and the effects of different weight coefficients of objective function on the proposed EMS are discussed. (shrink)

Model predictive control technology can effectively reduce the bad effect caused by inaccurate data prediction in microgrid energy management problem. However, the use of MPC technology needs to dynamically select an optimal solution from the Pareto solution set to implement, which needs the participant of the decision-makers frequently. In order to reduce the burden on decision-makers, we designed a knee point-based evolutionary multiobjective optimization algorithm, termed KBEMO. Knee point is the solution on Pareto front with the maximum marginal (...) utility, which is considered as the preferred solution if there is no other preference. This algorithm focuses on obtaining the knee region and automatically outputs knee points after the optimization. By combining this algorithm with MPC technology, it can effectively reduce the amount of computational consumption and obtain better convergence. Experimental results show that this method is more competitive than the traditional single-objective MPC method. (shrink)

The article presents an approach to the formation of a decision support system in the management of energy consumption of production technological systems. Such systems allow the company to detect and respond in a timely manner to the appearance of hidden energy losses, to carry out organizational measures aimed at energy saving and to optimize the timing and scope of repair and restoration work. The approach is based on the modeling of stationary sections of energy (...) consumption, presented in the form of precedents, their accumulation and subsequent analysis in the space of influential technological parameters. In addition to the base of precedents, the system includes software modules for assessment and formation of the profile of hidden energy losses, modules of technical condition, forecast and formation of precedents. The analysis of precedents consists in the selection of similar cases of energy consumption, the formation of efficient energy consumption functions and the calculation of energy losses with its help. Hidden energy losses can be calculated in real time for all technological systems of the enterprise. This allows you to build a profile of energy losses of the enterprise. The advantage of this approach in comparison with the known ones is that it allows to adapt to technological systems with different energy sources. The article emphasizes that the method can work with the energy manager with both linear and nonlinear dependence of energy consumption on process parameters. However, the limitations of this approach are noted. Thus, the determination of latent energy losses and technical condition of the equipment requires the participation of qualified specialists of the enterprise, who must be able to analyze the results and propose measures to eliminate energy losses. (shrink)

The energy domain is still dominated by equilibrium models that underestimate both the dangers and opportunities related to climate change. In reality, climate and energy systems contain tipping points, feedback loops, and exponential developments. This paper describes how to create realistic energy transition management models: quantitative models that can discover profitable pathways from fossil fuels to renewable energy. We review the literature regarding agent-based economics, disruptive innovation, and transition management and determine the following requirements. (...) Actors must be detailed, heterogeneous, interacting, learning, and strategizing. Technology should be represented as a detailed and heterogeneous portfolio that can develop in a bottom-up manner, using endogenous feedback loops. Assumptions about discount rates and the social cost of carbon should be configurable. The model should contain interactions between the global, national, local, and individual level. A review of modelling techniques shows that equilibrium models are unsuitable and that system dynamics and discrete event simulation are too limited. The agent-based approach is found to be uniquely suited for the complex adaptive sociotechnical systems that must be modelled. But the choice for agent-based models does not mean a rejection of other approaches because they can be accommodated within the agent-based framework. We conclude with practical guidelines. (shrink)

With the rapid development of Internet of Things technology, the energy consumption of service composition in the IoT environment is a key problem to be studied. At present, the problems of service composition in the IoT environment mostly focus on the evaluation research based on quality of service, ignoring the overall energy consumption in the process of dynamic configuration of service composition. Therefore, we construct the service composition structure for the IoT and propose the QoS evaluation model and (...) energy evaluation model for the service composition in the IoT environment. Considering that the service composition in the Internet of things environment is NP hard, moth algorithm is successfully applied to the QoS evaluation model and energy evaluation model. The simulation results reveal that MFO has good optimization effect in the abovementioned models, and the optimization effect of MFO is improved by 8% and 6% compared with the genetic algorithm and particle swarm optimization, so as to realize the green energy strategic management of QoS composition in the environment of IoT. (shrink)

The objective of this study was to analyze the quality of climate information disclosed by companies and the impression management strategies they have developed to justify or conceal negative aspects of their performance. The study is based on a qualitative content analysis of the sustainability reports of 21 energy-sector companies that use the Global Reporting Initiative with A or A+ application levels over a period of 5 years. It contributes to the literature on climate disclosure by demonstrating the (...) ineffectiveness of the external assurance process in ensuring the quality and representativeness of the data. Significant non-compliance with GRI standards was identified in 86 of the 93 reports audited by a third party. In addition, six of the 21 companies surveyed were found to disclose increasingly opaque information over time, concealing information on the measurement and methodology used. Through this study, four impression management strategies were identified. These are employed either to justify certain information or to conceal it. In exposing the high incidence of non-compliance in GRI reporting and the use of impression management strategies by companies, this study shows that it will be difficult or impossible for stakeholders to reasonably assess, monitor and compare companies’ climate performance on the basis of these reports. (shrink)

Based on a condensed historical overview of management as an artifact, the article argues that management is still suffused by an implicit paradigm of value extraction that is ideologically and culturally tinted and that we need to find a new foothold in theory and practice, a more universally valid approach with an encompassing awareness of societal well-being and long-term impact. The radically new approach proposed is based on free energy minimization, a concept from computational neuroscience, as a (...) universally valid principle derived from the biological imperative to survive that holds true for individuals and social systems alike. In order to reduce harmful free energy from entropy and stochastic adversity, an amplified way of perceiving and being aware of reality is required that needs to be cultivated. This is achieved through the guiding principle of Minding, an ongoing process of inner and outer awareness and caring consideration of oneself, others and the world around us, routed in a comprehensive consciousness including awareness of Body sensations, Emotions, Thoughts and Action impulses (BETA). This comprehensive, strategic awareness is proposed as a unifying, contextual framework for individual and collective well-being rather than a categorical imperative, and therefore may, when and where indispensable, include value extraction and value maximization if required for the overall objective of shared, long-term flourishing. The article also presents examples of implementation of the proposed approach for both individuals and organizations and briefly introduces MBSAT-Mindfulness-based Strategic Awareness Training, a training protocol designed specifically to enhance the competence of Minding, the guiding principle. (shrink)

Achieving energy sovereignty is increasingly gaining prominence as a goal in energy politics. The aim of this paper is to provide a conceptual analysis of this principle from an ethics and social justice perspective. We rely on the literature on food sovereignty to identify through a comparative analysis the elements energy sovereignty will most likely demand and thereafter distinguish the unique constituencies of the energy sector. The idea of energy sovereignty embraces a series of values, (...) among which we identified: (i) accessibility, to allow access to everyone, (ii) empowerment and recognition, to develop and sustain capabilities to collaboratively produce solution-oriented energy system knowledge and effectively participate in governance, (iii) stewardship and sustainability, to be able to design and manage decentralised renewable systems in view of protecting the environment, (iv) self-sufficiency, to reduce the negative shocks of exploitative business practises, (v) resilience, to maintain production capacities while withstanding socioeconomic, political, environmental and climatic shocks, (vi) peace, to establish production systems that do not involve hostile relations, (vii) transparency and self-determination, to establish democratic decision-making mechanisms that give a voice to previously underrepresented groups and limit corporate takeover (viii) gender-justice, by acknowledging the contributions of women and eliminate barriers to their empowerment. With a conceptual framework of energy sovereignty, we present a rationale that draws on the key values to be considered when formulating policy solutions for the energy sector. (shrink)

As an advanced network calculation mode, cloud computing is becoming more and more popular. However, with the proliferation of large data centers hosting cloud applications, the growth of energy consumption has been explosive. Surveys show that a remarkable part of the large energy consumed in data center results from over-provisioning of the network resource to meet requests during peak demand times. In this paper, we propose a solution to this problem by constructing a dynamic energy-efficient resource (...) class='Hi'>management scheme. As a way of saving energy as well as maintaining cloud user’s quality of experience, the scheme presents a multitier cloud architecture by configuring physical machines into two pools: a hot pool and a warm pool. Each PM is configured with a resource search engine that finds an available virtual machine for the request, and a synchronous sleep mechanism is introduced to the warm pool. To analyze the end-to-end performance of the cloud system’s service with the proposed scheme, we establish a hybrid queueing system composed of three stochastic submodels by using a matrix-geometric solution. Accordingly, the average latency of requests and the energy-saving rate of the system are derived. Through numerical results, we show the influence of the synchronous sleep mechanism on the system performance. Moreover, from the perspective of economics, we build a system cost function to study the trade-off between different performance measures. An improved Salp Swarm Algorithm is presented to minimize the system cost and optimize the sleep parameter. (shrink)

Managers often ask why their firm should have an ethics program, especially if no one has complained about unethical behavior. The pursuit of business ethics can cost money, they say. It can lose sales to less scrupulous competitors and can drain management time and energy. But as Harvard business professor Francis Aguilar points out, ethics scandals (such as over Beech-Nut's erzatz "apple juice" or Sears's padded car repair bills) can severely damage a firm, with punishing legal penalties, bad (...) publicity, and irreparably injured customer relations. Equally important if less obvious, unethical behavior can undermine a firm's organizational spirit. On the other hand, Aguilar argues, in a well run firm, ethical programs can actually enhance corporate performance, strengthening the company at every level and supercharging employee risk taking and innovation. In Managing Corporate Ethics, Aguilar shows managers how to create ethical programs within their organizations that not only discourage large-scale wrongdoing, but can contribute substantially to the achievement of corporate excellence. Aguilar's program is down-to-earth and comprehensive, and based on his extensive research on highly successful, ethical companies, both large and small. He recommends action on three fronts: first, get senior management to provide effective ethical leadership; second, set up an ethics program that promotes concern for the interests of people affected by the firm's operations and that provides safeguards against corrupting business pressures; and third, staff the company with ethical people and surround the organization with ethical advisors (including legal, financial, accounting, tax, and marketing consultants). To illuminate this three-step program, Aguilar incorporates the lessons learned in his in-depth study of ten prominent firms with proven successful ethics programs--among them Hewlett-Packard, Johnson & Johnson, Nucor Steel, Cray Research, ServiceMaster, and Texas Instruments. He examines Lincoln Electric's attention to compensation and job security to ensure quality products and to reduce the pressure or temptation to act unethically. He shows how General Mills, while pushing product line managers to compete aggressively, uses corporate staff units to guard against illegal or unacceptable claims (testing cake recipes, for example, to see if a product's quality fails under the less-than-perfect conditions of a normal kitchen). And he details how Armstrong World Industries uses pep talks, inspirational stories, role models, and ready access to management to promote ethical standards among employees. Throughout, Aguilar demonstrates convincingly that an ethical program pays dividends: that employees, suppliers, customers, and the community at large know when they are being treated in a positive and constructive manner, and are likely to respond in kind. Packed with real life examples of successful (and failed) ethical programs, Managing Corporate Ethics is a valuable roadmap to an often overlooked source of business success. (shrink)

Energy has an ambivalent status in social theory, variously figuring as a driver or an outcome of social and institutional change, or as something that is woven into the fabric of society itself. In this article the authors consider the underlying models on which different approaches depend. One common strategy is to view energy as a resource base, the management and organization of which depends on various intersecting systems: political, economic and technological. This is not the only (...) route to take. The authors develop an alternative approach, viewing energy supply and energy demand as part of the ongoing reproduction of bundles and complexes of social practice. In articulating and comparing these two positions they show how social-theoretical commitments influence the ways in which problems like those of reducing carbon emissions are framed and addressed. Whereas theories of practice highlight basic questions about what energy is for, these issues are routinely and perhaps necessarily obscured by those who see energy as an abstract resource that structures or that is structured by a range of interlocking social systems. (shrink)

Throughout the history of mankind, energy security has been always seen as a means of protection from disruptions of essential energy systems. The idea of protection from disorders emerged from the process of securing political and military control over energy resources to set up policies and measures on managing risks that affect all elements of energy systems. The various systems placed in a place to achieve energy security are the driving force towards the energy (...) innovations or emerging trends in the energy sector. Our paper discusses energy security status and innovations in the energy sector in European Union (EU). We analyze the recent up-to-date developments of the energy policy and exploitation of energy sources, as well as scrutinize the channels of energy streaming to the EU countries and the risks associated with this energy import. Moreover, we argue that the shift to the low-carbon production of energy and the massive deployment of renewable energy sources (RES) might become the key issue in ensuring the energy security and independency of the EU from its external energy supplies. Both RES, distributed energy resources (DER) and “green energy” that will be based on the energy efficiency and the shift to the alternative energy supply might change the energy security status quo for the EU. (shrink)

Social entrepreneurship increasingly involves collective, voluntary organizing efforts where success depends on generating and sustaining members’ participation. To investigate how such participatory social ventures achieve member engagement in pluralistic institutional settings, we conducted a qualitative, inductive study of German Renewable Energy Source Cooperatives. Our findings show how value tensions emerge from differences in RESCoop members’ relative prioritization of community, environmental, and commercial logics, and how cooperative leaders manage these tensions and sustain member participation through temporal, structural, and collaborative compromise (...) strategies. We unpack the mechanisms by which each strategy enables members to justify organizational decisions that violate their personal value priorities and demonstrate their varying implications for organizational growth. Our findings contribute new insights into the challenges of collective social entrepreneurship, the capacity of hybrid organizing strategies to mitigate value concessions, and the importance of logic combinability as a key dimension of pluralistic institutional settings. (shrink)

The growing demand for energy in urban environments, coupled with the urgent need to reduce carbon emissions, necessitates innovative approaches to power generation, distribution, and consumption. Artificial Intelligence (AI)-driven smart grids offer a transformative solution by optimizing energy efficiency, integrating renewable resources, and ensuring grid stability. This paper explores how machine learning and IoT-enabled predictive analytics can enhance smart grid performance in urban areas. By addressing challenges such as demand forecasting, load balancing, and renewable energy intermittency, this (...) study demonstrates the potential of AI to revolutionize sustainable energy management. Experimental results highlight improvements in grid reliability, cost reduction, and carbon footprint minimization, paving the way for resilient and eco-friendly urban energy systems. (shrink)

Managing Complexity in Healthcare introduces the ComEntEth (Complex Entropic Ethical) model as an integrated bio-medical and philosophical approach to understanding how people get things done in healthcare. Drawing on the complexity sciences, studies of entropy in living organisms, and the ethics of Emmanuel Levinas, healthcare is theorised as energetic relational exchanges between people as entropic and ethical entities that unfold around a central attractor: Reduction in elevated entropy or suffering in patients. Living entities are engaged in a continuous struggle against (...) the tendency to produce entropy. From the cellular to the collective of human endeavours, the tendency of complex systems is to disorder and decay. Yet in the micro-activity of healthcare enterprise, people resist this tendency by expending energy to create order and sustain life. Making sense of how this miraculous work is made possible is the foundation of this book. Through practical examples - from analysis of practitioner burnout, rural and remote healthcare, the functioning of emergency departments, to government, social and institutional responses to the COVID-19 pandemic -this new integral philosophy provides practitioners, managers, policy designers, and scholars an effective way to understand the dynamics of daily processes and practices that link the micro of everyday interactions with the macro-trends of healthcare. (shrink)

A philosophy of management that incorporates the big picture of human experience, all levels, and degrees of awareness in relationship with the world, will better develop and sustain an environment conducive to creative contributions that meet organizational goals. Quantum physics reveals the nature of reality to be connection and creativity engaged in a process of actualizing possibilities. Human beings participate in this process of actualization, as both observer-creator and experiencer of the universe through multiple domains of knowing – a (...) collaborator in Alfred North Whitehead’s panexperientialism. Whitehead’s God of process, the primordial field of creative possibilities, and the consequent nature which holds all the experiences of every actualization, supports human consciousness, as it self-actualizes by engaging and integrating the experience of external and internal events and their effects on awareness. Through understanding the participatory nature of consciousness with God and the world as experienced, deep meaning emerges for human life. Tapping into this deeper meaning through a philosophy of management that acknowledges the full human experience, including the embedded spiritual connection to the creative energy that is God, strengthens an organization’s vision, mission and contributions to a community. This brief overview traces a path toward a preliminary framework for a philosophy of management based on God and the ideas of connection, creativity and process. (shrink)

This article reviews the relationship between managed care and public health. Managed care, with its seemingly infinite structural and organizational variation, dominates the modern American health-care system for the non-elderly U.S. population. Through its emphasis on standarhzed practice norms and performance measurement, coupled with industrial purchasing techniques, prepayment, risk downstreaming, and incentives-based compensation, managed care has the potential to exert considerable influence over the manner in which the health-care system is organized and functions. Given the degree to which the attainment (...) of the basic public health goal of protecting the public against population health threats for which there are known and effective medical interventions depends on the successful interaction between public health policy and the medical care system, the importance of a viable working relationship between public health and managed care is difficult to overstate.The potential for conflict between public health and medical care is nothing new; indeed, delineating the boundaries of public health to shape and influence medical practice has occupied the energies of policymakers and the medical industry for well over a century. (shrink)

Corporate social responsibility (CSR) is a concept aimed to ensure that corporations conduct their business in an ethical manner by taking care of their environment and human resources in addition to their economic impact. Often times, CSR refers to the steps undertaken by a corporation to measure its efforts to improve the environment and social well‐being. One of the aspects of CSR pertains to the disclosure of emission information and carbon management strategy (CMS). Carbon Management refers to analyzing (...) and focusing on those areas within the corporation where cost reductions can be made via energy reductions, waste management, and reduced resource consumption. In this article, we examine the role of an effective CMS on the emission disclosure behavior of firms. We utilize the carbon disclosure project surveys to find that firms adopting an effective CMS are more likely to disclose the information about both direct and indirect emissions. (shrink)

In this paper the centrality of concepts for intellectual history is stressed. Naturally, this focus on concepts requires an account of what concepts are. More contentiously, an account of how concepts are best approached by intellectual historians also requires taking a stand vis-à-vis some prevailing notions of concepts. In particular, I will direct attention to the weaknesses of the historicist theory of concepts derived from the later Wittgenstein. By contrast, I will put forward an account of conceptual innovation and change (...) in intellectual history based on a notion of concept loosely inspired by Frege. The first three parts of the paper lay out a framework for what I call “analytic contextualism,” which is then briefly illustrated with an example from the history of political thought in the fourth part. I argue that this framework should be attractive to intellectual historians for two reasons: First, Fregean concepts, due to their relative independence from context, explain long-term conceptual stability and change better than competing notions of concepts. Second, a Fregean notion of concept is better suited than its competitors to explain how concepts and conceptual innovation sometimes manage to have causal effect on institutions and social reality. To demonstrate the latter point, it will be shown that my account of concepts is consistent with, and well placed to exploit, recent philosophical advances in social ontology. (shrink)

The economical/environmental scheduling problem of the ship integrated energy system has high computational complexity, which includes more than one optimization objective, various types of constraints, and frequently fluctuated load demand. Therefore, the intelligent scheduling strategies cannot be applied to the ship energy management system online, which has limited computing power and storage space. Aiming at realizing green computing on SEMS, in this paper a typical SIES-EESP optimization model is built, considering the form of decision vectors, the economical/environmental (...) optimization objectives, and various types of real-world constraints of the SIES. Based on the complexity of SIES-EESPs, a two-stage offline-to-online multiobjective optimization strategy for SIES-EESP is proposed, which transfers part of the energy dispatch online computing task to the offline high-performance computer systems. The specific constraints handling methods are designed to reduce both continuous and discrete constraints violations of SIES-EESPs. Then, an establishment method of energy scheduling scheme-base is proposed. By using the big data offline, the economical/environmental scheduling solutions of a typical year can be obtained and stored with more computing resources and operation time on land. Thereafter, a short-term multiobjective offline-to-online optimization approach by SEMS is considered, with the application of multiobjective evolutionary algorithm and typical schemes corresponding to the actual SIES-EESPs. Simulation results show that the proposed strategy can obtain enough feasible Pareto solutions in a shorter time and get well-distributed Pareto sets with better convergence performance, which can well adapt to the features of real-world SIES-EESPs and save plenty of operation time and storage space for the SEMS. (shrink)

The harmful consequences of fossil fuels use has resulted in the promotion of clean and renewable energies. During the past decades, green technologies have experienced a strong development, paying especial attention to wind energy, that covers a significant share of the electric energy demand. In this context, the main efforts are focused on the optimization of wind generator facilities, not only in the mechanic design but also in the energy management. Then, the present work deals with (...) the prediction of the energy generated in a small wind turbine placed in a bioclimatic house located on the north west region of Spain. This includes an analysis of the characteristics of the atmospheric variables registered during the turbine operation for a period of one year and an exploratory examination of a range of regression techniques in order to assess the suitability of using the registered information to predict the installation’s power generation levels on the short term. The study detailed in this work proves that this objective is an attainable one with a good degree of accuracy. (shrink)

The word “sustainable” débuted in 1987 but has since become a hot topic issue, both for scientific research and wider society. Although sustainability may appear to be a thoroughly twenty-first century goal, sustainability science concepts and goals such as balance, endurance, order and change, reach back at least as far as the proto-scientific investigations of alchemy. Both alchemy and sustainability science can be understood as systems or strategies which individuals and societies can use to organise and manage themselves in a (...) complex world filled with dynamic problems. Alchemy never created a panacea or transmuted base metals into gold because those goals proved to be based on fundamentally flawed theories and premises. Nevertheless, alchemy did succeed in helping adherents manage themselves and their societies in advantageous ways. Alchemy also positively and significantly influenced subsequent scientific development. Likewise, science helps humanity manage itself on multiple scales, from the individual to the international, and will certainly contribute to further scientific research and development. However, it is not yet known whether carbon neutrality, entirely renewable energy and other sustainability goals will be achieved or whether these goals will also come to be seen as based on flawed understandings and theories. For this reason, this article explores key features of alchemy, traces how they persisted through Enlightenment-era science and how they continue to be present and influential within scientific efforts today. The article goes on to reflect on how the history, development and continued use of concepts such as balance, endurance, order and change may be useful portents of how humans and human society will manage themselves in the future. Such reflections may also temper the zeal with which individuals that accept or reject sustainability goals treat each other, thereby offering a way for divergent groups to manage their interactions. Flawed theories prevented alchemy from achieving many of its primary stated goals. However, alchemy was very beneficial, both during its period of use and subsequently through its influence on subsequent development. This article identifies ideas from alchemy that were originally beneficial and that have persisted through Enlightenment-era science and into contemporary science. The article also explores how those ideas continue to influence scientific and sustainability goals today. Understanding and reflecting on alchemy’s successes and failures facilitates reflection on the potential successes and failures of sustainability and the human consequences of trying to manage a sustainable future. (shrink)

In industries populated by small and medium enterprises, managers' good intentions frequently incur barriers to superior environmental performance (Tilley, Bus Strategy Environ 8:238-248, 1999). During the period when the U.S. wine industry was beginning to promote voluntary adoption of sound environmental practices, we examined managers' attitudes, norms, and perceptions of stakeholder pressures to assess their intentions to implement environmental management programs (EMP). We found that managers within the simple structures of these small and medium firms are responsive to attitudes, (...) norms, and pressures from internal stakeholders and that voluntarily established EMP increased the success of firms' implementation of energy conservation and recycling practices. Applications of our findings to future research on small and medium enterprises as well as direct practical applications of our results are discussed. (shrink)

This paper is about a support information management system for a wind power producer having an energy storage system and participating in a day-ahead electricity market. Energy storage can play not only a leading role in mitigation of the effect of uncertainty faced by a WP producer, but also allow for conversion of wind energy into electric energy to be stored and then released at favourable hours. This storage provides capability for arbitrage, allowing an increase (...) on profit of a WP producer, but must be supported by a convenient problem formulation. The formulation proposed for the support information management system is based on an approach of stochasticity written as a mixed integer linear programming problem. WP and market prices are considered as stochastic processes represented by a set of scenarios. The charging/discharging of the ESS are considered dependent on scenarios of market prices and on scenarios of WP. The effectiveness of the proposed formulation is tested by comparison of case studies using data from the Iberian Electricity Market. The comparison is in favour of the proposed consideration of stochasticity. (shrink)

This book is an easy to use instructional aide. Explore sustainability issues in contemporary society through a transdisciplinary approach. Chapters include ethics, public resources, public policy, combustion, heat exchangers, nuclear, solar, water, and wind energy. A short summary is presented for each topic, followed by additional topics for research, assignments, and references. The complex assignments require students to grow in their professional judgment.

Like nuclear energy, most technologies could have dual use—for health and well being and disaster and terror. Some research publications have brought to the forefront the tragic consequences of the latter potential through their possible use. Monitoring life science research and development (R&D) to prevent possible misuse is a challenging task globally, more so in developing economies like India, which are emerging as major biotech hubs. As a signatory to the Biological and Toxin Weapons Convention, India has put in (...) motion a process of evolving a series of measures to manage dual-use technology. The Indian Council of Medical Research (ICMR) has taken a lead in drafting model codes of conduct, ethics and practice for use by other S&T agencies to tailor them as per their requirements. Taking cue from the discussions held by the editors of the various medical and science journals in the developed world, the Indian Journal of Medical Research, the official publication of the ICMR, is working on policy and uniform practice of publication of dual-use research results. The Government of India too has promulgated legal provisions to minimize the risks of misuse of technology, like the Weapons of Mass Destruction Act. Clearly, no single agency would be able to manage the dual-use of technology effectively. Multiple agencies have to come together to work in tandem for effective implementation of various measure and also like Janus, ensure that they are neither too restrictive nor intrusive to discourage the development of science. (shrink)

For many energy companies in China, green brand strategy is becoming an important approach to enhance competitive advantage. However, greenwashing behaviors result in a crisis of trust. Existing research focuses on green marketing, but is silent on the institutional view of the trust crisis resulting from greenwashing by energy brands. Thus, this study takes a decoupling perspective from institutional theory and considers legitimacy, energy policy management, and green brand theories to shed light on the path from (...) the decoupling of an energy brand from green promise to green energy brand trust and the role of brand legitimacy and brand loyalty. It then analyzes survey data to conclude that DEBG not only has a direct negative effect on GEBT but also has an indirect influence through the vital mediating role of green energy brand legitimacy. Moreover, brand loyalty is a moderating factor and can alleviate the energy brand trust crisis. These findings not only can enrich the theories of energy brand management and green marketing but also offer important implications for energy policy management. (shrink)

Buildings account for a significant portion of global energy consumption and carbon emissions, making energy efficiency a critical focus for urban sustainability. Traditional building management systems often lack the adaptability and precision needed to optimize energy usage dynamically. This paper explores how Artificial Intelligence (AI) and IoT technologies can enhance energy efficiency in smart buildings by enabling real-time monitoring, predictive maintenance, and adaptive control systems. By integrating data from smart meters, occupancy sensors, and environmental monitors, (...) cities can reduce energy waste, lower carbon footprints, and improve occupant comfort. Experimental results demonstrate significant improvements in energy savings, operational costs, and environmental impact, offering a sustainable blueprint for smart building management. (shrink)

Pellet is widely used in blast furnace ironmaking. Pellet quality affects the effect of ironmaking, the existing control system of grating-rotary kiln mainly adopts manual control mode, and the quality of pellet production largely depends on the experience, fatigue, and sense of responsibility of the site operators. The use of the Internet of things technology in the integration and improvement of enterprise information level, to achieve fine, intelligent production management, at the same time, is conducive to promoting steel enterprises (...) to reduce costs and increase efficiency, energy conservation and emission reduction, transformation and upgrading, and taking a new road to industrialization. According to the working principle and technological characteristics of the grate-rotary kiln at all stages, this paper designs the management system of firing pellets based on convolutional neural network and IoT technology, so as to realize automatic recognition of image data obtained by the perceptual layer and make an intelligent analysis of it. The system can classify the working conditions of the current equipment, so as to judge whether the production process parameters of the grate-rotary kiln are up to the standard, thus achieving the goal of controlling the quality of the finished pellet. (shrink)

Osmoregulation in insects is an essential process whereby changes in hemolymph osmotic pressure induce the release of diuretic or antidiuretic hormones to recruit individual osmoregulatory responses in a manner that optimizes overall homeostasis. However, the mechanisms by which different osmoregulatory circuits interact with other homeostatic networks to implement the correct homeostatic program remain largely unexplored. Surprisingly, recent advances in insect genetics have revealed several important metabolic functions are regulated by classic osmoregulatory pathways, suggesting that internal cues related to osmotic and (...) metabolic perturbations are integrated by the same hormonal networks. Here, we review our current knowledge on the network mechanisms that underpin systemic osmoregulation and discuss the remarkable parallels between the hormonal networks that regulate body fluid balance and those involved in energy homeostasis to provide a framework for understanding the polymodal optimization of homeostasis in insects. (shrink)

Renewable energy technology is often seen as a positive expression of technology, meeting energy needs with minimal environmental impact. But, by integrating nature with the ordering of the electric grid, renewables silently convert that nature into what Martin Heidegger referred to as standing reserve—resources of the technological commodity chain to be ordered, controlled, converted, and consumed on demand. However, it may be possible to mitigate the downsides of this process through a transition to more decentralized, local sources of (...) renewable energy operations and management that maintain awareness of the ways in which energy is generated and distributed. (shrink)

In the last decades, researchers have been considering some fundamental issues such as energy saving, global warming, greenhouse emissions, and non-renewable energy to make models of house environmental standards to achieve a suitable consumption pattern for saving energy. In architecture, using natural energy is one of the essential pillars of design because it was one of the criteria of designing, which was considered on climate and geography, and it has been a high performance of climate adaptation (...) in the modeling of traditional houses. In this research, Azerbaijan is selected to evaluate the practical features of traditional Iranian houses designed in the cold climate, and criteria for developing sensible solutions to achieve a suitable design model for energy saving are provided. The primary purpose of this paper is to evaluate and identify the features of climate design in traditional houses in a cold climate, which are suitable residential buildings for energy management, and to identify the components affecting energy saving. The data collection method is based on checklists, observation, considering the orientation, density, solar radiation angle in the region, documentary, analysis of maps, and adaptation of the architectural plan of the studied houses with the pattern of solar radiation in the area. This research discusses the design criteria for future structures and their adaptable measures based on the obtained results. Finally, it is declared that the traditional architectural design model follows the region’s climatic conditions, and considering the current climate and energies, traditional houses were designed; therefore, the best model for maximum use of available energy is climatic design. As a result, suggestions are made regarding residential architecture design to save energy. (shrink)

As it faces the threats and seizes the possibilities presented by sustainability, the television business is experiencing a profound shift. The potential for long-term expansion in the television industry is investigated in this study by looking at sustainable entertainment management practices. The research finds important tactics that production businesses and television networks may use to incorporate social, economic, and environmental sustainability into their operations by looking at existing practices and new developments. Case studies of prominent firms, examination of sustainability (...) reports, and expert interviews make up the research's mixed-methods strategy. The results show that in order to promote sustainability, it is crucial to use energy-efficient technology, decrease waste with digital manufacturing processes, and encourage social responsibility with inclusive content and fair labour standards. In order to achieve sustainable development in the long run, the research stresses the significance of stakeholder involvement and strategic alliances. Stakeholders in this sector may use the suggestions made in this paper to improve their sustainability initiatives and meet the changing needs of the global market in a way that is good for the environment and their bottom line. (shrink)

This study focuses on the prediction of the engagement of small- and medium-sized enterprises (SMEs) in environmental management practices, based on a random sample of 689 SMEs. The study finds that several endogenous factors, including tangibility of sector, firm size, innovative orientation, family influence and perceived financial benefits from energy conservation, predict an SME’s level of engagement in selected environmental management practices. For family influence, this effect is found only in interaction with the number of owners. In (...) addition to empirical research on SMEs’ environmental behavior, this article draws on the ecological modernization literature as well as the theory of planned behavior. (shrink)

Academics and practitioners have paid close attention to waste, energy, and resource management due to growing awareness of its effects on sustainable performance. This study aims to explore the status and challenges of efficient resource management in China, an under-researched area. Moreover, it proposes a theoretical framework to fill the academic and practical gap how efficient resource management practices can build sustainable performance. This study justifies the need to explore the need of efficient resource management (...) practices in emerging economies like China. Empirical data derived using a cross-sectional survey of 265 employees from oil and gas firms in China were used to test the theoretical framework developed from mainstream literature. Empirical findings of this study highlight the role of efficient resource management practices such as CSR, process and equipment, human resource practices, product design, and manufacturing planning which have a positive and significant impact on sustainable performance. In addition, innovative culture plays a moderating role in enhancing firms' sustainable performance. The findings suggest that there is further scope to utilize the efficient resource management practices for encouraging innovative culture to build sustainable performance. This study creates a basis for future research of building sustainable organizational performance by integrating efficient resource management practices. This study also highlights gaps in the system and provides insights into policymakers and manufacturing sector employees on holistically building a sustainable organization. (shrink)

The aim of the article is to trace the integration of education, science and production through the development of regional cluster policy. At the present stage of development of postindustrial society in the global economy, the processes of globalization and specialization of national markets significantly increase competition between countries, between regions and between producers within the country. In these circumstances, the state authorities of the Russian Federation, while maintaining global leadership in the energy sector, define as long-term development goals (...) of the country, the creation of a competitive economy based on knowledge and high technologies. Following this doctrine in the Russian regions in the period from 2012 to 2014 cluster policy is implemented on the basis of Federal and regional innovation strategies. An important role in this process belongs to the activities of leading higher educational institutions - national research universities, which contribute to stimulate an active scientific activity of students and the introduction of scientific achievements into production. One of the pilot cluster projects, funded by the Federal budget became the territorial cluster ‘ Pharmaceutics, medical technology and information technology ‘ formed in the Tomsk region with a unique starting opportunities for the development of sustainable regional innovation system is a developed scientific and educational complex, small and medium-sized innovative enterprises with the latest technological developments in pharmaceuticals and medical technology. In two years, the activity cluster, implemented with the financial support of public authorities, has been successful. In the future, there are plans to expand the range of pharmaceutical products and the collaboration with other clusters Tomsk. Cluster policy contributes to the emergence of stakeholders and large economic enterprises, thus providing a close relationship between science, business and regional authorities. (shrink)

This article explores impact investing within the renewable energy sector. Drawing on ethical decision making and sensemaking, this article contributes to an enhanced understanding of the complex ethical sensemaking process of impact investors when facing plausible situations in a world of contested truths. Addressing the ethical tensions faced by impact investors with mixed motives, this study investigates the way decision makers use context-specific reasons to make sense of and shape the renewable energy investment process. This represents an initial (...) attempt to understand ethical sensemaking in impact investing made within the renewable energy sector using a multi-stakeholder approach. Our findings show that prosocial, personal, reputational, and economic motives are the main drivers of REI, with prosocial and personal motives being value-based, and reputational and economic motives being evidence-based. We find three different modes of ethical sensemaking, allowing for the construction of the four motives noted above. These motives are based on the context-specific reasons of impact investing decision makers in the RE sector. This article contributes to the academic discourse on ethical sensemaking with some key processes involved in ethical decision making, and a better understanding of the underlying motivations of impact investing in the RE sector. (shrink)

Industrial engineering is a field dealing with optimization of complex processes, systems, or organizations by developing, improving and implementing integrated systems of people, money, knowledge, information, equipment, energy, and materials. Hence, the scope of industrial engineering is wide and includes various fields, from manufacturing, through banking, different types of services, to administration and healthcare. Various industrial engineering tools could be implemented in healthcare settings. The use of such tools is popular in western economies. For example, simulation modelling of services (...) is popular in the US. However, there is still a very limited number of case studies on the application of such tools in healthcare that would consider the Polish economy. The aim of this paper is to present selected successful applications of lean management tools in the Polish healthcare. This may serve as an inspiration for healthcare organizations to search for and implement methodological approaches to improve their services. (shrink)

This study analyzed and explored the cognitive load of Australian energy market operators managing one of the longest inter-connected electrical networks in the world. Each operator uses a workstation with seven screens in an active control room environment, with a large coordination screen to show information and enable collaboration between different control centers. Cognitive load was assessed during both training scenarios and regular control room operations via the integration of subjective and physiological measures. Eye-tracking glasses were also used to (...) analyze the operators gaze behavior. Our results indicate that different events, different participants for the same session, and different periods of one session all have varying degrees of cognitive load. The system design was observed to be inefficient in some situations and to have an adverse affect on cognitive load. In critical situations for instance, operator collaboration was high and the coordination screen was used heavily when collaborating between two control centers, yet integration with the system could be improved. Eye tracking data analysis showed that the layout of applications across the seven screens was not optimal for many tasks. Improved layout strategies, potential combination of applications, redesigning of certain applications, and linked views are all recommended for further exploration in addition to improved integration of procedures and linking alarms to visual cues. (shrink)

This essay considers Simone Weil's experiences in factories and her social–political reflections on work, time and energy, in conjunction with arguments from theorists Melissa Gregg, Theodor Adorno and Sara Ahmed, to raise questions about supposedly humane interventions, including the cultivation of resilience, in the contemporary workplace. The transition from time‐sense in factory work at the turn of the century is examined, along with the growth of corporate time management ideologies and practices in the mid–late 20th century, and finally, (...) the associated forms of disciplining resilience/elasticity in the worker that bring together certain notions of time, space and psychological investments. (shrink)