Article

Current potential of more sustainable biomass production using eco-efficient farming practices in Austria

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Abstract

Ecological evaluation approaches assess different levels of comprehensiveness depending on anthropogenic ecological pressures on natural material and biogeochemical cycles. In this research potentials of biomass integration in agricultural processes were evaluated and all parts of their full life cycles were replaced with ecological processes of low impact. A method that covers global resource availabilities, life cycle chains and their emissions to final compartments on earth’ spheres in a detailed way is Sustainable Process Index. This footprint calculator accumulates the total resource use of a full life cycle of a process chain in one number of m² area. Current typical conventional agricultural cropping processes shall be made comparable to a strongly sustainable ecological footprint which could be achieved if heavy footprint measures would be replaced by those with smaller impacts in natural cycles. The production of maize grain is evaluated to find out the ecological hotspots. A comparison of business as usual conventional farming practice and ecological/organic farming practice is carried out. The evaluation results confirmed that fossil fuel consumption and application of mineral fertilizers along with pesticides are the main ecological hotspots. The ecological footprint and carbon footprint showed a bandwidth of 24,731 to 10,690 m²/tonne and 88.5 and 22.6 kg carbon dioxide equivalent per tonne maize grain production respectively. The shift from conventional farming practice to organic farming and use of biogas as fuel showed an ecological footprint reduction potential ranging from 22% to 57% while the carbon footprint reduction potential ranges from 38% to 74%. It proves that SPI footprint methodology is quite effective in locating ecological hotspots and finding alternate environment friendly solution in the life cycle of a process. The assessment results are very promising and indicate that a shift from conventional farmisng practices towards organic farming and the use of renewable energy sources have a huge potential to achieve a more sustainable agriculture and strengthen a regionally based economy.

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... SPI was developed by Krotscheck and Narodoslawsky (1996) following the basic principles of ecological footprint. The normative behind the development of SPI methodology is well explained by two general principles of sustainability (Maier et al., 2017), resource acquisition and emissions related to anthropogenic activities, to fulfill human needs and should not overshoot Earth's natural income. These principles are given as (SPIonWeb, 2013e2016): ...
... Similarly, the mathematical translation of natural principles to show sustainability is explained by Narodoslawsky and Krotscheck (1995), as shown in Eq. (4) (Maier et al., 2017): ...
... It has also been applied for evaluation of other fields e.g. agriculture (Maier et al., 2017) and biochemical processes (Shahzad et al., 2014). An online tool SPIonWeb was utilized for making the assessment. ...
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The recognition of the humans, vehicles or any other objects in the outdoor environment, such as roads, streets, pedestrian ways, car parking and public parks, is only possible with illumination after dark. The outdoor lighting consumes significant amounts of electricity. The best short-term payout period for reduction in energy consumption is implementation of energy efficiency solutions. A shift from traditional illumination technology to the advanced lighting solutions has the ability for significant energy savings. The main focus of this study is to find out the most suitable, environmentally friendly and “green” solution(s) to fulfill the outdoor lighting requirements. It includes ecological impact assessment of commonly available lighting technologies for outdoor illumination, such as high pressure sodium, compact fluorescent and light emitting diode, by using Sustainable Process Index methodology. The effects of different alternative energy resources and the impacts of geographical locations due to variations in energy provision system (i.e. energy mix) are also considered in this study. The obtained results show that Sustainable Process Index ranges from 258 km2 to 7760 km2 and carbon footprint from 930 t CO2 eq. to 48,496 t CO2 eq. to fulfill lighting requirement for 100,000 h of lighting. These results are compared with Sustainable Process Index and Carbon Footprint caused by high pressure sodium and light emitting diode luminaires providing electricity from Saudi Arabian electricity network.
... The possibilities with the most significant potential for reducing environmental pressure are the switch from machinery powered by fossil fuels (tractors and harvesters) to machinery powered by biogas (used to harvest crops in some cases) and the transition from conventional cultivation (with pesticides) to ecological cultivation (without pesticides) [61]. A shift from conventional agricultural practices to OA and using renewable energy sources has considerable potential for achieving more sustainable agriculture and strengthening a regionally based economy [61]. ...
... The possibilities with the most significant potential for reducing environmental pressure are the switch from machinery powered by fossil fuels (tractors and harvesters) to machinery powered by biogas (used to harvest crops in some cases) and the transition from conventional cultivation (with pesticides) to ecological cultivation (without pesticides) [61]. A shift from conventional agricultural practices to OA and using renewable energy sources has considerable potential for achieving more sustainable agriculture and strengthening a regionally based economy [61]. ...
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... The EF index is used to compare human demands against the biosphere's ability to renew [27]. One of the EF index methods in the EF family is called the Sustainable Process Index (SPI) which can be used for assessing ecological hotspots and finding alternate environment-friendly solutions in the life cycle of a process [28]. ...
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... Since then, the ecological footprint model has been extensively used as an essential research tool and analysis framework in sustainable development (Korkut, 2021;Ojonugwa et al., 2021;Umit, 2021;Zahid et al., 2021), socioeconomic development (Neagu, 2020;Enu and Sya, 2021), tourism development (Mehdi et al., 2012;Lin et al., 2017), and energy consumption (Sharma et al., 2021;Ullah et al., 2021). The application of the ecological footprint method in agriculture is divided into two parts: one is the impact of different agricultural production management methods on the agricultural environment, such as land use and farm management (Viglizzo et al., 2011, Hayo et al., 2007, and the second is to evaluate the sustainable utilization of agricultural resources such as water resources and arable land resources, combining the agricultural water footprint (Hoekstra et al., 2011;Wang et al., 2014), agricultural carbon footprint (Maier et al., 2017;Li et al., 2018), and crop footprint (Ferng, 2011;Budreski et al., 2016). In the ecological footprint study of China's agriculture, researchers, respectively, measured the ecological footprint and carrying capacity per capita of cultivated land, water area, grassland, and forest land in Henan (Cao, 2020), Guangxi (Zhang, 2020), and Shandong provinces (Yang et al., 2016), and all the studies found that the provinces have different degrees of ecological deficits. ...
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... This is clearly reflected by a literature review of the previous SDEWES special issues which include a large number of papers investigating this topic, summarized in the following Table 4. In this field, biogas and gasified biomass are probably the most promising bio-fuels for their potential to decarbonize energy systems [116][117][118][119]. Gaida et al. [105] presented a detailed review of different strategies to control substrate feed in anaerobic digesters. ...
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... Biomass as a renewable energy source that could easily replace fossil fuels has been studied extensively in Austria by Maier et al. (2017), in Japan by Ooba et al. (2016), and in Malaysia by Shen How et al. (2016). Bioethanol production from de-oiled microalgal biomass was investigated by Muei Chng et al. (2016). ...
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... To improve the sustainability of Napier grass cultivation, the dependence on economic inputs could be reduced by promoting long term productivity with eco-efficient alternatives such as using biofuel driven machineries, and lower pollution levels on the farm (Maier et al., 2016). This would provide the higher utilization of local resources and lower the dependence on external resources (De Jong et al., 2010). ...
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Water integration studies have focused on reducing the amount of water used by a process on the assumption that environmental impact is reduced through efficient water reuse. However, the environmental impact of retrofitting the water network through the installation of pumps and pipes and energy for their utilization which may even lead to a network with a higher environmental cost as measured using a more comprehensive metric, is rarely, if at all, considered. Using the Sustainable Process Index (SPI) as a means of measuring environmental impact, this study addresses the question on water integration and environmental impact and shows that there is a balance that must be struck between water savings and water network modifications.
Chapter
IntroductionComputation of the SPICase Study: Biodiesel from Used Vegetable OilSummaryReferences
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In recent years a considerable increase in interest in the development of processes based upon renewable resources has occurred. One reason for this development is the call for more sustainable and environmentally benign production processes and products.Increased utilisation of renewable resources, however, poses new challenges to chemical and process industries. These challenges arise from increased competition for renewable but still finite resources, the de-centralised production of the renewable resources and the complexity of the raw materials. These new challenges require new approaches to process development, as production systems become more complex and interlinked, logistical considerations become increasingly important and new technological solutions must be adapted to local and regional settings. As the structure of complex production systems must be newly developed and optimised, process synthesis will play an increasingly important role in process development.
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The Sustainable Process Index (SPI) is a measure developed to evaluate the viability of processes under sustainable economic conditions. Its advantages are its universal applicability, its scientific basis, the possibility of adoption in process analyses and syntheses, the high sensitivity for sustainable qualities, and the capability of aggregation to one measure. It has proved to be useful in industrial strategic planning. The concept of the SPI is based on the assumption that in a truly sustainable society the basis of economy is the sustainable flow of solar exergy. The conversion of the solar exergy to services needs area. Thus, area becomes the limiting factor of a sustainable economy. The SPI evaluates the areas needed to provide the raw materials and energy demands and to accommodate by-product flows from a process in a sustainable way. It relates these areas to the area available to a citizen in a given geographical (from regional to global) context. The data necessary to calculate the SPI are usually known at an early stage in process development. The result of the computation is the ratio between the area needed to supply a citizen with a given service and the area needed to supply a citizen with all possible services. Thus, it is a measure of the expense of this service in an economy oriented towards sustainability.
Article
Process industry needs a strategic measure that takes environmental considerations into account as a base for decisions on future projects. Emission standards alone are not sufficient for this purpose. They are based on our knowledge of the environmental risk of substances which is fragmentary and inconclusive. On top of that emission standards are susceptible to changes in societal risk assessment. Both factors are chaning rapidly undermining the usefulness of these standards for strategic planning. The SPI is based on an operationalized form of the principle of sustainability. It uses only process data known at an early stage of planning and data of natural concentrations of substances (not on their presumable impact which is usually not known). The core of the SPI evaluation is the calculation of the area needed to embed a process completely into the biosphere. Low SPI values indicate processes that are competitive under sustainable conditions and that are environmentally compatible in the long-term view.
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