Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
…
4 pages
1 file
Sustainability is high on many research and policy agendas, and a number of specific models to measure sustainability have been developed. However, most models are based only on the first law of thermodynamics, and thereby are incomplete and approximate. Sustainable processes are those whose rates are maintained over time without exceeding the innate ability of its surroundings to support the process. We present a model for measuring the sustainability of processes that adapts and integrates the first and second laws of thermodynamics and the concept of rate processes, thereby forming a new synthesis. The degree of sustainability of a process, whether ecological, economic, social, chemical, or biological is expressed quantitatively in terms of algebraic equations. It is a dynamic approach that applies at any scale and takes into consideration the spatial and temporal factors of processes, thus permitting empirical applications that correspond to real world conditions (dynamic, complex, and evolving). These characteristics make it especially suitable for applications in the fields of chemistry, chemical engineering, and ecology.
Industrial & Engineering Chemistry Research, 2011
Sustainability is high on many research and policy agendas, and a number of specific models to measure sustainability have been developed. However, most models are based only on the first law of thermodynamics and, thereby, are incomplete and approximate. Sustainable processes are those whose rates are maintained over time without exceeding the innate ability of their surroundings to support the process. We present a model for measuring the sustainability of processes that adapts and integrates the first and second laws of thermodynamics and the concept of rate processes, thereby forming a new synthesis. The degree of sustainability of a process, whether ecological, economic, social, chemical, or biological, is expressed quantitatively in terms of algebraic equations. It is a dynamic approach that applies at any scale and takes into consideration the spatial and temporal factors of processes, thus permitting empirical applications that correspond to real world conditions (dynamic, complex, and evolving). These characteristics make it especially suitable for applications in the fields of chemistry, chemical engineering, and ecology.
At the 2005 Spring Meeting of the AIChE, we discussed sustainability in a broad context and proposed that the limitations imposed by the second law of thermodynamics and by process rates be considered as well as the conservation of energy, matter, species, and ecosystems; and furthermore that more care be taken in identifying the system, that is the location of the physical or conceptual envelope. That analysis suggested that the choice of that envelope is the primary source of the contradictory conclusions that pervade the current literature relative to the sustainability of different sources of energy and raw materials. Herein, we propose a mathematical model for the quantitative description and comparison of various fuels, processes, infrastructures, and schemes to determine their relative degrees of sustainability, thereby providing a basis for technological and political choices. This model is intended to be dynamic and independent of scale. It includes both stationary and dynamic behavior and extends beyond the conservation of species and energy. So-doing permits the inclusion of sustainability in the cost-benefit analysis of engineering processes and technologies. Even so, our approach is handicapped by the difficulty of describing quantities such as the quality of life in mathematical terms.
Renewable and Sustainable Energy Reviews, 2013
In spite of the existence of a generalized debate about sustainable development, the natural constraints imposed by the irreversibility nature of technical and economic transformations are normally less discussed. The Second Law of thermodynamics (Entropy Law) reveals the unidirectional and irreversible aspect of such transformations, and it can be used as an auxiliary tool to deal with sustainability assessment. The exergy, a concept derived from entropy, can offer qualitative measurements of resources depletion and environmental impact not covered by mass or energy. This opens opportunities to enrich the sustainability discussion. The multiple interactions among the ecosystem, the economic environment and the technical level are highlighted, along with discussions about how the entropy concept has improved the description of the three levels. The aim of this paper is to review the environmental sustainability concept from the perspective of entropy law, offering a survey of relevant applications of exergy available in literature.
2010
This report presents an overview of research horizons in sustainability science. Its motivation is to help harness science and technology to foster a transition toward sustainability-toward patterns of development that promote human well-being while conserving the life-support systems of the planet. It builds on but does not explicitly address the vast range of relevant sector-specific and cross-sectoral problem-solving work now underway in fields ranging from green technologies in energy and manufacturing to urban design to agriculture and natural resources. It focuses on the narrower but essential task of characterizing the needs for fundamental work on the core concepts, methods, models, and measurements that, if successful, would support work across all of those sectoral applications by advancing fundamental understanding of the science of sustainability.
Water Resources Center Archives, 2005
Sustainable development is a growing concern expressed by many businesses, organizations and individuals. Yet, no workable quantifiable definition of sustainability is available for evaluation of specific projects or operations. This paper attempts to set a framework for such a definition in terms of the first and second law of thermodynamics. Specifically, the proposed description of sustainability relates the fundamental processes of chemical, physical or biological transformation, and mass transport to energy and entropy changes. Unlike previous applications of these concepts, the proposed definition is focused on the smallest unit operations and processes while allowing for aggregation into larger systems. The proposed description also explicitly considers the time horizon for sustainability. An example of sustainability analysis for a water treatment process is included.
International Journal of Thermodynamics, 2015
A thermodynamic metric is proposed to supplement existing scales in the assessment of the way we use our natural resources. This metric has the advantage of being absolute and independent of economy, suitable for comparison of technologies, and can be used at molecular level as well as process-units and systems levels. It measures loss of useful work (exergy) in cradle-to-grave or complete recycling systems in terms of generalized friction or entropy production and may deliver realistic targets for process operations. This absolute scale can be useful also for international legislation and to foster a development in direction of more sustainable technologies. In an extended perspective, the presented approach may form a universal basis for analysis and development of national economies and policies regarding industry, engineering and environment. This may give new opportunities to put political resource discussions on a solid objective footing.
Ocean & Coastal Management, 2014
Sustainability is an important concept currently at the forefront of many policy agendas. Yet, the science of sustainability is still inchoate: What does it means for a system to be sustainable? What are the features of sustainable systems and how can they be quantified? The systems we deal with e ecological, economic, social, and integrated e are complex and operate by maintaining functional gradients away from equilibrium. While there are basic requirements regarding availability of input and output boundary flows and sinks, sustainability is centrally a feature of system configuration. A system must provide a basis of positionally-balancing, wholeness-enhancing centers of activity. One aspect of this system balance is between efficiency and redundancy which can be measured in ecological and economic systems using information-based network analysis. Specifically, the robustness indicator as developed by Robert Ulanowicz and colleagues offers deep insight into the structure and function of these self-sustaining autocatalytic configurations (through constant flows of energy and matter). In this paper, I overview these concepts and methods and provide examples from economic and ecological systems and discuss the meaning of the differences in outcome.
Journal of Industrial Ecology, 2011
The concept of "sustainability" is employed more and more frequently in the context of the analysis of energy-and societal systems. Sociologists, Energy Managers, Biologists, Environmentalist, Industrial Ecologists and Thermodynamicists use it to assess the general feasibility of new strategies and new scenarios: the idea being that, among different possible solutions, the one that promises a "more sustainable" future is to be preferred. As it is often the case, the widespread use of a new concept leads to possible misuses: this is indeed the case for sustainability. In particular, the issue that we want to discuss in this paper is whether "sustainability" has a physical meaning in Applied Thermodynamics or not. The implications are clear: if it has, then it should be possible to derive general principles and rules for devising "sustainable systems". If it has not, then other sides of the issue retain their relevance, like equitable development, social justice, rational resource allocation, and so on, but thermodynamic laws are not appropriate by themselves to decide whether a system or a scenario is sustainable or not, and much the less to quantify its "degree of sustainability". In the paper, we make use of one single axiom: that resource consumption (of any kind) can be quantified solely in terms of exergy flows. On this assumption, we develop a system theory that shows that no "simple" system fed by non-renewable resources, like the majority of industrial energy conversion systems, either taken individually or in its interactions with other systems, isstrictly speaking-"sustainable", because its operation is in essence based on a finite exergy reservoir. But as renewable resources are brought into the picture, and the system complexity grows, then there are certain thresholds (that can be expressed in terms of population size, relative size and individual resource consumption) below or beyond which the system exhibits trends that can be judged in terms of its ability to maintain itself (perhaps through fluctuations), in a selfpreserving, sustainable state. The principle of analysis is simple, and leads to an interesting conclusion: it appears that complexity, measured both by the number of interconnections between the "actors" (i.e., the elements of the system) and by the degree of non-linearity of the transfer functions of these elements, plays a major role, and -even for some of the simplest cases-leads to non-trivial solutions in phase space. Therefore, even if the examples presented in the paper can be considered at best rather crude approximations to real complex systems, the results show a trend that is worth further consideration.
Ecological Modelling
SSRN Electronic Journal, 2019
This paper derives a long-term dynamic growth model that endogenously links biophysical and economic variables in a stock-flow consistent manner. The two industrial sector model enables exploration of interdependencies among resource extraction rate and depletion; the accumulation of population, capital, and debt; and the distribution of money flows within the economy. Using a post-Keynesian economic framework, we find that wage share declines after the model reaches a constant per capita resource extraction rate, with the level of investment and markup on costs determining the rate of decline. This pattern is consistent with data for the United States. Thus, the model framework enables realistic investigation of trade-offs between economic distribution, size, and resources consumption between sectors as well as between labor and capital. These trade-offs are core to the debates regarding environmental and socioeconomic sustainability. This model serves as a platform upon which to add features to explore long-term sustainability questions such as a transition to low-carbon energy.
Pure and Applied Chemistry, 2009
Tidsskrift for Den Norske Laegeforening, 2005
British Journal of Middle Eastern Studies , 2024
Negotiation and Conflict Management Research, 2010
International Journal of Electrical and Computer Engineering (IJECE), 2024
Springer, 2024
Cretaceous Research
Expert Opinion on Therapeutic Targets, 2018
HAL (Le Centre pour la Communication Scientifique Directe), 2001
arXiv (Cornell University), 2010
Anticancer research, 2011
Foreign Trade Review, 2020
Research in Transportation Business & Management, 2016