Economy‐wide Material Flow Indicators on a Sectoral Level and Strategies for Decreasing Material Inputs of Sectors

The article presents a method for the calculation of selected economy‐wide material flow indicators (namely, direct material input [DMI] and raw material input [RMI]) for economic sectors. Whereas sectoral DMI was calculated using direct data from statistics, we applied a concept of total flows and a hybrid input‐output life cycle assessment method to calculate sectoral RMI. We calculated the indicators for the Czech Republic for 2000–2011. We argue that DMI of economic sectors can be used for policies aiming at decreasing the direct input of extracted raw materials, and imported raw materials and products, whereas sectoral RMI can be better used for justifying support for or weakening the role of individual sectors within the economy. High‐input material flows are associated in the Czech Republic with the extractive industries (agriculture and forestry, the mining of fossil fuels [FFs], other types of mining, and quarrying), with several manufacturing industries (manufacturing of beverages, basic metals, motor vehicles or electricity, and gas and steam supply) and with construction. Viable options for reducing inputs of agricultural biomass include changes in people's diet toward a lower amount of animal‐based food and a decrease in the wasting of food. For FFs, one should think of changing the structure of total primary energy supply toward cleaner gaseous and renewable energy sources, innovations in transportation systems, and improvements in overall energy efficiency. For metal ores, viable options include technological changes leading to smaller and lighter products, as well as consistent recycling and use of secondary metals.     

The principle of optimality as the foundation of biotechnological modeling

There are many points of contact between optimization problems and modeling. On the one hand the model adjustment process itself as a process of estimation is closely connected with optimization, in that it is to produce what is in one sense the best possible model. The basic structure of the optimization problem as problem in decision making with the necessary input of an objective function is thus evident. On the other hand a model is never an end in itself but on the basis of its simulation capacity a means to an end, for example in biotechnological optimization. From this point of view the model is a product of scientific work and thus an economic value. Equally, through its intended purpose the model exhibits a utility value. A complete evaluation of the model as a condition of rational modeling must take into account both these aspects. That is possible in principle by adding the modeling expenditure to expenditure for the realization of biotechnological processes, expressing the economic consequences of model quality as an objective function, and minimizing the specific total expenditure for the product to be produced. Biotechnological practice requires that the “optimum” model is approached by means of iterative processes. Some practical examples will make the process clear, taking into account qualitative (semantic) and quantitative (accuracy) aspects of the utility value.     

An Urban Metabolism and Carbon Footprint Analysis of the Jing–Jin–Ji Regional Agglomeration

Urban energy metabolism includes processes for exploiting, transforming, and consuming energy, as well as processes for recycling by‐products and wastes. Embodied energy is the energy consumed during all of these activities, both directly and indirectly. Multiregional input‐output (MRIO) analysis can calculate the energy consumption embodied in flows among sectors for multiple cities or regions. Our goal was to address a problem apparent in previous research, which was insufficient attention to indirect energy flows. We combined MRIO analysis with ecological network analysis to calculate the embodied energy consumption and the energy‐related carbon footprints of five sectors in three regions that comprise the Jing‐Jin‐Ji agglomeration, using data from 2002 and 2007. Our analysis traced metabolic processes of sectors from the perspective of final consumption. Based on the embodied energy analysis, we quantified the indirect energy consumption implied in exchanges of sectors and its distribution and identified the relationships formed through the indirect consumption to analyze the roles of providers and receivers in the system. Results showed that the embodied energy consumption for the Jing‐Jin‐Ji region increased from 2002 to 2007 as a result of increased energy consumption in Tianjin and Hebei. Overall, consumption of Beijing decreased likely attributable to the fact that government policies relocated industries during this time in anticipation of the Olympic Games. The relationships among sectors changed: Beijing changed from a net exporter to an importer, whereas Hebei changed from a net importer of energy from Beijing to an exporter to Beijing, and Tianjin served as an importer in both years.     

Progress in the development of methods used for the abatement of microbial contaminants in ethanol fermentations: a review

Biofuel research and development roadmap is currently underway in several countries and is expected to pave a way for the establishment of a viable renewable energy sector that can compete with petroleum-based fuels. Ethanol fermentation has garnered increasing attention amongst various stakeholders (industries, governments, and academia) due to its economic and environmental merits. However, microbial contamination continues to be one of the major barriers in ethanologenic processes, resulting in low ethanol yields and thereby translating into economic losses. To this end, technological innovations geared towards effective elimination of microbial contamination are constantly being developed. This review explores and discusses the fermentation conditions that facilitate the growth of undesired microorganisms during ethanol fermentation processes. It highlights the methods that are currently used in biorefineries as well as innovative and advanced biotechnological methods currently being evaluated as viable alternative strategies to control or eliminate microbial contaminants in ethanol fermentations. These methods have the potential to minimize or control the contamination problem and could pave a way for the development of an efficient biofuel sector.

     

Renewable resources in the chemical industry – Breaking away from oil?

Rising prices for fossil-based raw materials suggest that sooner or later renewable raw materials will, in principle, become economically viable. This paper examines this widespread paradigm. Price linkages like those seen for decades particularly in connection with petrochemical raw materials are now increasingly affecting renewable raw materials. The main driving force is the competing utilisation as an energy source because both fossil-based and renewable raw materials are used primarily for heat, electrical power and mobility. As a result, prices are determined by energy utilisation. Simple observations show how prices for renewable carbon sources are becoming linked to the crude oil price. Whether the application calls for sugar, starch, virgin oils or lignocellulose, the price for the raw material rises with the oil price. Consequently, expectations regarding price trends for fossil-based energy sources can also be utilised for the valuation of alternative processes. However, this seriously calls into question the assumption that a rising crude oil price will favour the economic viability of alternative products and processes based on renewable raw materials. Conversely, it follows that these products and processes must demonstrate economic viability today. Especially in connection with new approaches in white biotechnology, it is evident that, under realistic assumptions, particularly in terms of achievable yields and the optimisation potential of the underlying processes, the route to utilisation is economically viable. This makes the paradigm mentioned at the outset at least very questionable.     

Current biotechnological developments in Belgium

In recent years, actions have been undertaken by the Belgian government to promote process innovation and technical diversification. Research programs are initiated and coordinated by the study committee for biotechnology setup within the Institute for Scientific Research in Industry and Agriculture (IRSIA). As a result of this action, the main areas where biotechnological processes are developed or commercially exploited include plant genetics, protein engineering, hybridoma technology, biopesticides, production by genetic engineering of vaccines and drugs, monoclonal detection of human and animal deseases, process reactors for aerobic and anaerobic wastewater treatment, and genetic modification of yeast and bacteria as a base for biomass and energy. Development research also includes new fermentation technologies principally based on immobilization of microorganisms, reactor design, and optimization of unit operations involved in downstream processing. Food, pharmaceutical, and chemical industries are involved in genetic engineering and biotechnology and each of these sectors is overviewed in this paper.     

Product Environmental Life-Cycle Assessment Using Input-Output Techniques

Life-cycle assessment (LCA) facilitates a systems view in environmental evaluation of products, materials, and processes. Life-cycle assessment attempts to quantify environmental burdens over the entire life-cycle of a product from raw material extraction, manufacturing, and use to ultimate disposal. However, current methods for LCA suffer from problems of subjective boundary definition, inflexibility, high cost, data confidentiality, and aggregation.
This paper proposes alternative models to conduct quick, cost effective, and yet comprehensive life-cycle assessments. The core of the analytical model consists of the 498 sector economic input-output tables for the U.S. economy augmented with various sector-level environmental impact vectors. The environmental impacts covered include global warming, acidification, energy use, non-renewable ores consumption, eutrophication, conventional pollutant emissions and toxic releases to the environment. Alternative models are proposed for environmental assessment of individual products, processes, and life-cycle stages by selective disaggregation of aggregate input-output data or by creation of hypothetical new commodity sectors. To demonstrate the method, a case study comparing the life-cycle environmental performance of steel and plastic automobile fuel tank systems is presented.     

Reckoning perverse outcomes of resource conservation policies using the Ecological Footprint

Spatially expanding economies threaten the status of basic natural resources. In particular, wildlife habitats rarely benefit. Apart from protected areas, political-economic decision-making is ill-prepared to accommodate wildlife habitats with standard valuation methods. In some cases habitat loss is an inadvertent outcome of resource conservation policies intended to lower resource consumption.We recognize the term resource conservation as multifaceted, with a range of meanings from protecting wildlife habitats to efficiently allocating and using materials and energy. Resource conservation policies that spur economic benefits may produce unwanted outcomes. This is partly because linkages between economic and conservation goals seem tangential. Moreover, relevant information is imperfect and predictive tools are limited. This is particularly true for land converting impacts, which are often addressed after the fact, not during policy formulation, and can lead to successive resource degradation.We argue for the need to calculate the positive and negative land converting impacts from resource conservation policies that may expand the economy. Using the Ecological Footprint (EF) approach, we tested for potentially perverse outcomes of an existing resource conservation policy. In doing so, we conceptually mapped linkages among economic sectors to their cumulative effects of converting land. We assume an inverse relationship between economic expansion and land conservation.A New York State energy efficiency incentive program was tested using recent data from all tracked economic sectors. The economic data were converted in a series of steps from dollar values to energy units, to carbon dioxide emissions, and ultimately expressed in hectares of net land conversion. A policy scenario was compared to a reference scenario (no resource conservation policy), and the results anticipate a net gain in conserving land (0.6% reduced conversion). We interpret this as a potentially proportional offset favoring wildlife habitat retention. Two sensitivity analyses demonstrated that the policy’s impact on conserving land depended on both the affected economy’s scale (tripling reduces the estimated benefit to 0.2%), and the level of economic expansion that followed (doubling leads to a net loss of wildlands).This novel use of the EF approach may serve as a model for a more general approach to assessing a broader class of policies. It may also hold promise toward developing tools that can better examine well-intentioned resource conservation policies with uncertain outcomes. Our hope is that work like this can lead to better sets of tools for examining critical ecological–economic linkages for improved policy design.     

Process modeling and simulation can guide process development: case study α-cyclodextrin

Modeling and simulation of biotechnological processes enables the quantification of possible process variations. In this way it provides a tool for guiding research towards the most promising directions. The method is shown on the basis of the case study of α-cyclodextrin production. The production process was modeled and the model is used to evaluate the potential impact of CGTases with new properties. Sensitivity analyses show that yield and selectivity are the crucial parameters. Reaction time has only limited impact and substrate concentration has to be above 20%. The use of thermostable enzymes provides some energy savings. Furthermore, the effect of new CGTases leading to a modified downstream processing was assessed.     

基于生态网络的城市代谢结构模拟研究——以大连市为例

基于生态热力学的城市系统结构的研究是实现城市生态规划和环境管理等实际工作优化与决策的关键理论问题之一。基于生态热力学 流核算方法,建立大连市生态网络模型,通过路径分析探讨了代谢长度与代谢路径数量、连通性的变化关系,确定了城市代谢系统的基本营养结构,以及各组分间的作用途径;利用网络有效利用矩阵中正负号分布、数量比值,确定了城市代谢系统各组分间的作用方式、共生状况,最后揭示出固有网络结构中复杂的生态关系。结果表明:大连是具有一个高度竞争性的部门共生体,而且随着代谢长度的增加,城市代谢系统中各组分间的作用途径更为多样,代谢路径数量、连通性不断提高。该研究可为政策制定者确定如何在现有的经济基础上,避免支付高额生态成本和重复发达国家城市建设中的末端控制模式,推动社会系统的生态化转型实践,促进城市的健康发展。     

Photobioreactors: production systems for phototrophic microorganisms

Microalgae have a large biotechnological potential for producing valuable substances for the feed, food, cosmetics and pharmacy industries as well as for biotechnological processes. The design of the technical and technological basis for photobioreactors is the most important issue for economic success in the field of phototrophic biotechnology. For future applications, open pond systems for large-scale production seem to have a lower innovative potential than closed systems. For high-value products in particular, closed systems of photobioreactors seem to be the more promising field for technical developments despite very different approaches in design.     

Estimating the human appropriation of land in Brazil by means of an Input–Output Economic Model and Ecological Footprint analysis

As we confront the current environmental crisis, determining the biophysical base (e.g., materials, energy, land, and water) of nations has become paramount. With advanced economies benefiting from the import of resource-intensive primary goods originating from poorer parts of the world, especially emerging nations, these are dilapidating their natural capital. Brazil is one of such emerging economies, whose mining and farming activities, propping up its export-led economic growth, exert great pressure on the environment. In particular, farming has been shown to have one of the world's greatest environmental impacts, especially as a consequence of land use associated with cattle ranching. Since a nation-wide evaluation of land-use types across the whole sectorial spectrum of the country's economy is still lacking, we used the most recently available Input–Output Economic Model for Brazil and the Ecological Footprint method to identify those economic sectors with the greatest potential for appropriating portions of the natural world.Our results show that: (i) the biggest chunk of Brazil's Ecological Footprint is due to its Carbon Footprint and, in particular, emissions from cattle; (ii) only a few economic sectors exhibit high Ecological Footprint values, chiefly those belonging to livestock farming and energy production based on fossil fuels; (iii) excluding the soybeans and slaughter sectors, export-oriented sectors have below-average Ecological Footprint values; and (iv) the percentage of Brazil's Ecological Footprint due to household consumption (excluding imports) is three times bigger than that attributable to exports, with sectors belonging to livestock farming contributing the most to such disparity.These results underscore that the environmental impact of the Brazilian economy can be drastically reduced by tackling the emission-intensive production processes of a few sectors only and disincentivizing the domestic consumption of a narrow range of products, especially with respect to the livestock segment.     

Technological options for biological fuel ethanol

The current paradigm to produce biotechnological ethanol is to use the yeast Saccharomyces cerevisiae to ferment sugars derived from starch or sugar crops such as maize, sugar cane or sugar beet. Despite its current success, the global impact of this manufacturing model is restricted on the one hand by limits on the availability of these primary raw materials, and on the other hand by the maturity of baker's yeast fermentation technologies. Revisiting the technical, economic, and value chain aspects of the biotechnological ethanol industry points to the need for radical innovation to complement the current manufacturing model. Implementation of lignocellulosic materials is clearly a key enabler to the billion-ton biofuel vision. However, realization of the full market potential of biofuels will be facilitated by the availability of an array of innovative technological options, as the flexibility generated by these alternative processes will not only enable the exploitation of heretofore untapped local market opportunities, but also it will confer to large biorefinery structures numerous opportunities for increased process integration as well as optimum reactivity to logistic and manufacturing challenges. In turn, all these factors will interplay in synergy to contribute in shifting the economic balance in favor of the global implementation of biotechnological ethanol.     

Maintenance metabolism and carbon fluxes in <Emphasis Type="Italic">Bacillus</Emphasis> species

Background  

Selection of an appropriate host organism is crucial for the economic success of biotechnological processes. A generally important selection criterion is a low maintenance energy metabolism to reduce non-productive consumption of substrate. We here investigated, whether various bacilli that are closely related to Bacillus subtilis are potential riboflavin production hosts with low maintenance metabolism.     

Current perspectives of the <Emphasis Type="Italic">Escherichia coli</Emphasis> RNA degradosome

Many biological processes in the cell are linked to RNA metabolism and therefore have implications for a wide range of biotechnological applications. The processing and degradation of RNA plays an important role in RNA metabolism with often the same enzymes being involved in both processes. In this review, we highlight the dynamic nature of the structural components of the Escherichia coli RNA degradosome which is a large multiprotein complex that plays an important role in RNA degradation. The activities of the individual components of the degradosome are also discussed. The RNA degradosome forms part of the bacterial cytoskeleton and associated proteins, such as molecular chaperones, may aid in the compartmentalization of enzymatic activities and cytoskeletal organization. An enhanced understanding of the components of the RNA degradosome in other bacterial species will certainly aid in their evaluation as potential antimicrobial agents.     

Metabolic effects of furaldehydes and impacts on biotechnological processes

There is a growing awareness that lignocellulose will be a major raw material for production of both fuel and chemicals in the coming decades—most likely through various fermentation routes. Considerable attention has been given to the problem of finding efficient means of separating the major constituents in lignocellulose (i.e., lignin, hemicellulose, and cellulose) and to efficiently hydrolyze the carbohydrate parts into sugars. In these processes, by-products will inevitably form to some extent, and these will have to be dealt with in the ensuing microbial processes. One group of compounds in this category is the furaldehydes. 2-Furaldehyde (furfural) and substituted 2-furaldehydes—most importantly 5-hydroxymethyl-2-furaldehyde—are the dominant inhibitory compounds found in lignocellulosic hydrolyzates. The furaldehydes are known to have biological effects and act as inhibitors in fermentation processes. The effects of these compounds will therefore have to be considered in the design of biotechnological processes using lignocellulose. In this short review, we take a look at known metabolic effects, as well as strategies to overcome problems in biotechnological applications caused by furaldehydes.     

Sustainable development: how can biotechnology contribute?

Sustainable development has become a priority for the world's policy makers. Among the broad range of technologies with the potential to reach the goal of sustainability, biotechnology could take an important place, especially in the fields of food production, renewable raw materials and energy, pollution prevention, and bioremediation. However, technical and economic problems still need to be solved. In some cases, the environmental impact of biotechnological applications has been misjudged; in other cases, expectations cannot yet be matched.     

Can S-LCA methodology support responsible sourcing of raw materials in EU policy context?

Purpose

Access, affordability and sustainability of raw material supply chains are crucial to the sustainable development of the European Union (EU) for both society and economy. The study investigates whether and how the social life cycle assessment (S-LCA) methodology can support responsible sourcing of raw materials in Europe. The potential of social indicators already available in an S-LCA database is tested for the development of new metrics to monitor social risks in raw material industries at EU policy level.

Methods

The Product Social Impact Life Cycle Assessment (PSILCA) database was identified as a data and indicators source to assess social risks in raw material industries in EU-28 and extra-EU countries. Six raw material country sectors in the scope of the European policy on raw materials were identified and aggregated among those available in PSILCA. The selection of indicators for the assessment was based on the RACER (Relevance, Acceptance, Credibility, Ease, Robustness) analysis, leading to the proposal of 9 social impact categories. An S-LCA of the selected raw material industries was, thus, performed for the EU-28 region, followed by a contribution analysis to detect direct and indirect impacts and investigate related supply chains. Finally, the social performance of raw material sectors in EU-28 was compared with that of six extra-EU countries.

Results and discussion

Considering the overall social risks in raw material industries, “Corruption”, “Fair salary”, “Health and safety” and “Freedom of association and collective bargaining” emerged as the most significant categories both in EU and extra-EU. EU-28 shows an above-average performance where the only exception is represented by the mining and quarrying sector. An investigation of the most contributing processes to social impact categories for EU-28 led to the identification of important risks originating in the supply chain and in extra-EU areas. Therefore, the S-LCA methodology confirmed the potential of a life cycle perspective to detect burdens shifting and trade-offs. However, only a limited view on the sectoral social performance could be obtained from the research due to a lack of social data.

Conclusions

The S-LCA methodology and indicators appear appropriate to perform an initial social sustainability screening, thus enabling the identification of hotspots in raw material supply chains and the prioritization of areas of action in EU policies. Further methodological developments in the S-LCA field are necessary to make the approach proposed in the paper fully adequate to support EU policies on raw materials.

     

Trends in biotechnological production of fuel ethanol from different feedstocks

Present work deals with the biotechnological production of fuel ethanol from different raw materials. The different technologies for producing fuel ethanol from sucrose-containing feedstocks (mainly sugar cane), starchy materials and lignocellulosic biomass are described along with the major research trends for improving them. The complexity of the biomass processing is recognized through the analysis of the different stages involved in the conversion of lignocellulosic complex into fermentable sugars. The features of fermentation processes for the three groups of studied feedstocks are discussed. Comparative indexes for the three major types of feedstocks for fuel ethanol production are presented. Finally, some concluding considerations on current research and future tendencies in the production of fuel ethanol regarding the pretreatment and biological conversion of the feedstocks are presented.     

Applications of deep eutectic solvents in biotechnology and bioengineering—Promises and challenges

Deep eutectic solvents (DESs) have been touted recently as potential alternatives to ionic liquids (ILs). Although they possess core characteristics that are similar to those of ILs (e.g., low volatility, non-flammability, low melting points, low vapor pressure, dipolar nature, chemical and thermal stability, high solubility, and tuneability), DESs are superior in terms of the availability of raw materials, the ease of storage and synthesis, and the low cost of their starting materials. As such, they have become the subject of intensive research in various sectors, notably the chemical, electrochemical, and biological sectors. To date, the applications of DESs have shown great promise, especially in the medical and biotechnological fields. In spite of these various achievements, the safety concern for these mixtures must be sufficiently addressed. Indeed, in order to exploit the vast array of opportunities that DESs offer to the biological industry, first, they must be established as safe mixtures. Hence, the biotechnological applications of DESs only can be implemented if they are proven to have negligible or low toxicity profiles. This review is the first of its kind, and it discusses two current aspects of DES-based research. First, it describes the properties of these mixtures with ample focus on their toxicity profiles. Second, it provides an overview of the breakthroughs that have occurred and the foreseeable prospects of the use of DESs in various biotechnological and biological applications.