Non-technical success factors for bioenergy projects—Learning from a multiple case study in Japan

There is wide agreement in the literature that non-technical factors play a decisive role in the successful implementation of bioenergy projects. One underlying reason is that such projects require the involvement of many stakeholders, such as feedstock producers, engineers, authorities and the concerned public. We analyze the role of bioenergy-specific non-technical factors for the success of bioenergy projects. In a broad literature review we first identify potential success factors belonging to the five dimensions project characteristics, policy framework, regional integration, public perception and stakeholders. Using these factors as conceptual framework, we next analyze six Japanese pilot projects for bioenergy utilization supported by Japans Agriculture, Forestry and Fisheries Research Council. We apply Rough Set Analysis, a data mining method that can be used for small sample sizes to identify patterns in a dataset. We find that, by and large, non-technical factors from all five dimensions – such as the stability of the local policy framework – co-occur with project success. Furthermore, we show that there are diverging interpretations as to what success in a bioenergy project means. This requires tradeoffs between various goals, which should be identified and addressed explicitly at early stages of such a project.     

A participatory systems approach to modeling social, economic, and ecological components of bioenergy

Availability of and access to useful energy is a crucial factor for maintaining and improving human well-being. Looming scarcities and increasing awareness of environmental, economic, and social impacts of conventional sources of non-renewable energy have focused attention on renewable energy sources, including biomass.

The complex interactions of social, economic, and ecological factors among the bioenergy system components of feedstock supply, conversion technology, and energy allocation have been a major obstacle to the broader development of bioenergy systems. For widespread implementation of bioenergy to occur there is a need for an integrated approach to model the social, economic, and ecological interactions associated with bioenergy. Such models can serve as a planning and evaluation tool to help decide when, where, and how bioenergy systems can contribute to development.

One approach to integrated modeling is by assessing the sustainability of a bioenergy system. The evolving nature of sustainability can be described by an adaptive systems approach using general systems principles. Discussing these principles reveals that participation of stakeholders in all components of a bioenergy system is a crucial factor for sustainability.

Multi-criteria analysis (MCA) is an effective tool to implement this approach. This approach would enable decision-makers to evaluate bioenergy systems for sustainability in a participatory, transparent, timely, and informed manner.     

Use of a participatory approach to develop a regional assessment tool for bioenergy production

Recent years have witnessed an upsurge in certification schemes and sustainability assessment tools for bioenergy, however these mechanisms are often too generic, numerous and too broad for regional or local level implementation. Furthermore, these assessments are often weighted toward economic and environmental sustainability with less focus on social, cultural and institutional factors. This study was intended to overcome these limitations. We developed a community-driven regional assessment tool for forest-based bioenergy production in the Upper Peninsula of Michigan (USA). Stakeholders representing local landowners, farmers, township supervisors, timberland management companies, venture capitalists, government organizations and local interest groups generated a preliminary list of criteria and indicators (C&I) in a series of focus groups and interviews, and narrowed the list using multiple criteria analysis (MCA) in a workshop. Participants ranked environmental protection as the most important and relevant sustainability criteria, although policy and governance, and institutional capacity were also weighted highly. The final set of C&I consisted of 17 criteria and 31 indicators (in parentheses): Economic (6), Environmental (7), Social (8), Policy and regulations (4) and Institutional capacity (6). This set reflected the general balance across sustainability principles valued by the stakeholders. While expert-developed sustainability assessments are routinely biased toward easily quantifiable indicators, the indicators that were considered important and relevant by our participants included both quantitative as well as qualitative indicators, in almost equal proportions. This participatory MCA method identified criteria and indicators that reflect the regional context and the concerns of local stakeholders, and data for many of these indicators are readily available.     

Carbon dioxide emissions from switchgrass and cottonwood grown as bioenergy crops in the Lower Mississippi River Alluvial Valley

Marginal land of the Lower Mississippi Alluvial Valley (LMAV) has the potential to be utilized for substantial production of bioenergy feedstocks. However, resulting ecosystem services associated with dedicated bioenergy crop production, such as soil respiration and carbon dioxide (CO₂) emissions, which play an important role in global carbon (C) cycling, are not well understood. The objective of this study was to evaluate the effects of land use [i.e., switchgrass (Panicum virgatum) and eastern cottonwood (Populus deltoides) grown as dedicated bioenergy crops and a soybean (Glycine max)-grain sorghum (Sorghum bicolor) agroecosystem rotation] on monthly respiration and estimated annual CO₂ emissions for 2012 and 2013 from a silt -loam soil in east-central Arkansas. Peak monthly fluxes achieved each year differed (p < 0.05) somewhat among ecosystems. Annual CO₂ emissions differed among ecosystems (p < 0.001), but not between years (p = 0.45). Cottonwood emitted less CO₂ in both years (7.3 and 7.4 Mg ha⁻¹ for 2012 and 2013, respectively) compared to the other two ecosystems, while emissions from the switchgrass did not differ from those from the soybean in 2012 (10.3 and 9.5 Mg ha⁻¹, respectively) or grain sorghum in 2013 (9.7 and 9.2 Mg ha⁻¹, respectively). Results showed established bioenergy feedstock cropping systems do not have greater soil CO₂ emissions compared with a traditional soybean-grain sorghum crop rotation. Results also indicated that different bioenergy feedstocks can produce different quantities of CO₂ emissions, which may be important to consider when converting marginal lands to bioenergy feedstock cropping systems.     

An approach to unify the appraisal framework for biomass conversion systems

The need for a unified appraisal framework for biomass and bioenergy has been extensively discussed in literature. It is emphasized that a working unified appraisal framework can essentially improve bioenergy policymaking by offering a structured and transparent approach to tackle the bioenergy trilemma and to work out whether or not a certain biomass conversion technology or system should be implemented (always in direct comparison to others). Further, such an approach could be used to better examine the interdependencies of the single elements of the triple bottom line of sustainability (economy, environment, society). This also would lead to the improvement of existing and future policies and would give bioenergy a better foundation within the ethical debate by transparently showing the trade-offs between economy, environment and society. This paper drafts a unified appraisal framework for biomass conversion systems that integrates different approaches on the data, impact and decision making level. On the bottom line the proposed architecture in total addresses all relevant requirements from literature and fits well into the valuable work that has been done previously.     

Ecological assessment of integrated bioenergy systems using the Sustainable Process Index

Biomass utilisation for energy production presently faces an uphill battle against fossil fuels. The use of biomass must offer additional benefits to compensate for higher prices: on the basis of a life cycle assessment (using BEAM to evaluate a variety of integrated bioenergy systems in connection with the Sustainable Process Index as a highly aggregated environmental pressure index) it is shown that integrated bioenergy systems are superior to fossil fuel systems in terms of environmental compatibility. The implementation of sustainability measures provides additional valuable information that might help in constructing and optimising integrated bioenergy systems. For a set of reference processes, among them fast pyrolysis, atmospheric gasification, integrated gasification combined cycle (IGCC), combustion and steam cycle (CS) and conventional hydrolysis, a detailed impact assessment is shown. Sensitivity analyses of the most important ecological parameters are calculated, giving an overview of the impacts of various stages in the total life cycle and showing ‘what really matters’. Much of the ecological impact of integrated bioenergy systems is induced by feedstock production. It is mainly the use of fossil fuels in cultivation, harvesting and transportation as well as the use of fertilisers in short-rotation coppice production that impose considerable ecological pressure. Concerning electricity generation the most problematic pressures are due to gaseous emissions, most notably the release of NO_x. Moreover, a rather complicated process (high amount of grey energy) and the use of fossil pilot fuel (co-combustion) leads to a rather weak ecological performance in contrast to other 100% biomass-based systems.     

Determining the most sustainable lignocellulosic bioenergy system following a case study approach

The paradigm shift from fossil to renewable energy sources is driven, largely, by a growing sustainability awareness, necessitating more sophisticated measurements in terms of a wider range of criteria. Technical efficiency, financial profitability, environmental friendliness and social acceptance are some of the aspects determining the sustainability of renewable energy systems. The resulting complexity and sometimes conflicting nature of these criteria constitute major barriers to the implementation of renewable energy projects.The Worcester biomass procurement area in the Western Cape Province, South Africa, is used as a case study. It provides a blueprint for measuring the impacts of lignocellulosic bioelectricity systems – using life-cycle assessment (LCA), multi-period budgeting (MPB), geographic information systems (GIS) and multi-criteria decision-making analysis (MCDA), among others – and for prioritising the relevant criteria to determine the most sustainable technological option.Following the LCA approach, 37 plausible lignocellulosic bioenergy systems were assessed against five financial-economic, three socio-economic and five environmental criteria. On translating the quantitative performance data into a standardised ‘common language’ of relative performance, an expert group attached weights to the considered criteria, using the analytical hierarchy process (AHP). Assuming the prerequisite of financial-economic viability, the preferred option comprises a feller-buncher for harvesting, a forwarder for biomass extraction, mobile comminution at the roadside, secondary transport in truck-container-trailer combinations and an integrated gasification system for the conversion into electricity. This approach illustrates how to internalise externalities as typical market failures, aiding decision makers to choose the most sustainable bioenergy system.     

调水工程冰坝洪水风险保险利益相关者演化博弈分析

冰坝洪水风险是威胁寒区调水工程冬季输水安全与效益的重要风险之一,而保险是风险经济压力转移的重要手段,因此有必要探讨调水工程冰坝洪水风险保险业务的可实施路径.通过剖析调水工程冰坝洪水风险多利益主体特性,构建演化博弈模型,并进行理论解求解和参数影响特性分析,有针对性地提出推行冰坝洪水风险保险的相关建议.研究结果表明,从工程...     

Integrated assessment of bioelectricity technology options

Power generation from biomass is a sustainable energy technology which can contribute to substantial reductions in greenhouse gas emissions, but with greater potential for environmental, economic and social impacts than most other renewable energy technologies. It is important therefore in assessing bioenergy systems to take account of not only technical, but also environmental, economic and social parameters on a common basis. This work addresses the challenge of analysing, quantifying and comparing these factors for bioenergy power generation systems. A life-cycle approach is used to analyse the technical, environmental, economic and social impacts of entire bioelectricity systems, with a number of life-cycle indicators as outputs to facilitate cross-comparison. The results show that similar greenhouse gas savings are achieved with the wide variety of technologies and scales studied, but land-use efficiency of greenhouse gas savings and specific airborne emissions varied substantially. Also, while specific investment costs and electricity costs vary substantially from one system to another the number of jobs created per unit of electricity delivered remains roughly constant. Recorded views of stakeholders illustrate that diverging priorities exist for different stakeholder groups and this will influence appropriate choice of bioenergy systems for different applications.     

Promoting bioenergy through the clean development mechanism

This paper explores the potential of the Clean Development Mechanism (CDM) of the Kyoto Protocol to promote modern bioenergy options in developing countries. The starting point is that developing countries need to be given a major role in the implementation of the Convention on Climate Change because of their increasing energy demands and the pressing need to mitigate climate change. The role of CDM is discussed in the context of sustainable development, formation of carbon markets, and promotion of bioenergy options. Besides contributing to mitigate climate change, CDM can be used to demonstrate and disseminate new technologies, reduce investment risks and enhance the cost-efficiency of projects, while also creating jobs and improving environmental conditions. In this context, bioenergy projects are attractive and CDM provides a complementary bridge for international cooperation towards sustainable development. However, since CDM is project-based, a broader policy framework is needed to integrate such projects in regional and global bioenergy systems solutions.     

Towards integrated sustainability assessment for energetic use of biomass: A state of the art evaluation of assessment tools

Biomass is expected to play an increasingly significant role in the ‘greening’ of energy supply. Nevertheless, concerns are rising about the sustainability of large-scale energy crop production. Impacts must be assessed carefully before deciding whether and how this industry should be developed, and what technologies, policies and investment strategies should be pursued. There is need for a comprehensive and reliable sustainability assessment tool to evaluate the environmental, social and economic performance of biomass energy production. This paper paves the way for such a tool by analysing and comparing the performance and applicability of a selection of existing tools that are potentially useful for sustainability assessment of bioenergy systems. The selected tools are: Criteria And Indicators (C&I), Life Cycle Assessment (LCA), Environmental Impact Assessment (EIA), Cost Benefit Analysis (CBA), Exergy Analysis (EA) and System Perturbation Analysis (SPA). To evaluate the tools, a framework was constructed that consists of four evaluation levels: sustainability issues, tool attributes, model structure, area of application. The tools were then evaluated using literature data and with the help of a Delphi panel of experts. Finally, a statistical analysis was performed on the resulting data matrix to detect significant differences between tools. It becomes clear that none of the selected tools is able to perform a comprehensive sustainability assessment of bioenergy systems. Every tool has its particular advantages and disadvantages, which means that trade-offs are inevitable and a balance must be found between scientific accuracy and pragmatic decision making. A good definition of the assessment objective is therefore crucial. It seems an interesting option to create a toolbox that combines procedural parts of C&I and EIA, supplemented with calculation algorithms of LCA and CBA for respectively environmental and economic sustainability indicators. Nevertheless, this would require a more comprehensive interdisciplinary approach to align the different tool characteristics and focuses.     

The implementation of the EU renewable directive in Spain. Strategies and challenges

Based on the European project RES2020, the analysis evaluates the energy strategies to be implemented in Spain in order to satisfy the EU Renewable Directive. The modelling framework relies on the technico-economic model TIMES-Spain, part of the Pan-European TIMES model used in the project. TIMES is a bottom-up technology rich optimisation model representing the whole energy systems of the countries. Among the results, it appears that the gap regarding the renewable deployment in Spain between the Business-as-Usual case (including the existing policies) and the EU Directive should be compensated mainly by the penetration of bioenergy in transport and industry, and by the implementation of conservation measures, which contribute to reduce the total energy demand and thus makes useless additional investments in renewable power plants compared to the Business-as-Usual case. Only higher climate mitigation ambitions result in an absolute increase in the renewable-based electricity generation compared to the Business-as-Usual case. Moreover, when allowed, Spain is offering renewable energy credits under the statistical transfer mechanism to other European countries. The cost increase of the modelled renewable and climate policies compared to the Business-as-Usual remains relatively minor.     

Life cycle assessment (LCA) and life cycle cost (LCC) analysis model for a stand-alone hybrid renewable energy system

Nowadays the biggest challenge for most organizations is a real and substantial application of sustainability through the measurement and comparability of results in order to satisfy the principles of sustainability of all the stakeholders. Definitively, it is necessary to pursue sustainability through the measurements of specific indicators and control the variables that influence the state of the economic, social and environmental issues. The aim of this paper is to contribute to the development of a comprehensive, yet practical and reliable tool for a systematic sustainability assessment, based on the Life Cycle Assessment (LCA) and the Analytic Hierarchy Process (AHP) to support decision makers in complex decision problems in the field of environmental sustainability. The results are applied to a novel compressed air energy storage system proposed as a suitable technology for the energy storage in a small scale stand-alone renewable energy power plant (photovoltaic power plant) that is designed to satisfy the energy demand of a radio base station for mobile telecommunications. The outcome is a dynamic analysis and iterative integrated sustainability assessment of corporate performance.     

Sustainability assessment of renewable energy projects for off-grid rural electrification: The Pangan-an Island case in the Philippines

Renewable energy systems (RESs) have been promoted for rural electrification as an answer to the growing energy needs of communities while simultaneously satisfying environmental and resource scarcity problems. These off-grid systems however have several challenges in the perspective of sustainability due to the technically and financially weak recipients and users of the projects. There is still, however, less detailed understanding how the technical and economic aspects of the projects can properly match the social aspects to promote sustainability. This paper aimed to further understand the challenges and social impacts of rural electrification projects using RES through a case study of a centralized off-grid solar plant in the Philippines. The study used multiple correspondence analysis (MCA) to identify essential user attributes which explain the users’ electricity consumption behaviors. The community cooperative had difficulties maintaining the facility in the long term due to financial and capacity related challenges. A holistic approach dealing with the technical, economic and social aspects in developing RES projects promote sustainability.     

Inducible expression system for the marine cyanobacterium Synechococcus sp. strain NKBG 15041c

Cyanobacteria have been recognized as promising host organisms to produce biofuel materials including hydrogen and hydrocarbons due to high biomass productivity and capability of transformation. Metabolic engineering has recently been employed for further enhancement of bioenergy production, while excess fuel materials could give rise to cytotoxicity. Therefore genetic tools are required in order to precisely control the gene expression involved in the fuel production metabolism. Thus far, inducible-expression systems in cyanobacteria have been established mainly in freshwater strains. However there are a few reports with regard to marine strains, which can use vast of ocean for cultivation. In this study, we established a tetracycline-inducible gene expression system in the marine cyanobacterium Synechococcus sp. strain NKBG 15041c. Since tetracycline-inducible system is a non-native regulation, it is expected for inherent metabolisms not to be disrupted. The de novo designed promoter including tetracycline operator elements was inactivated by the repressor protein, and inducer addition successfully initiated target protein expression. This is the first report to demonstrate tetracycline-induction system with strict on/off switching in marine cyanobacteria, and it should be useful for future bioenergy production.     

Linking least-cost energy system costs models with MCA: An assessment of the EU renewable energy targets and supporting policies

There are several technoeconomic modeling approaches that provide quantitative results such as costs and the level of achievement of certain renewable energy (RE) policy targets. These approaches often do not consider other important factors for policy implementation (such as socio-political aspects and stakeholders' preferences). Recent multicriteria analysis (MCA) approaches attempt to integrate these multiple aspects in decision making process. In this respect, aim of this paper is to combine technoeconomic modeling and MCA approaches in a general analytical framework incorporating multiple aspects. Each method in an RE policy interaction problem can feed in the necessary policy information for the subsequent steps of an ex-ante and an ex-post assessment in a decision tree, starting from recognizing the need for implementing a new policy in parallel to the incumbent ones, assessing the actual policy costs and finally identifying the social acceptability of these RE policies.     

Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey

Multi-Criteria Decision Making (MCDM) techniques are gaining popularity in energy supply systems. The aim of this paper is to develop the multi-criteria decision support framework for ranking renewable energy supply systems in Turkey. Given the selection of renewable energy supply systems involves many conflicting criteria, multi criteria decision methods (Fuzzy TOPSIS) were employed for the analysis. The Interval Shannon's Entropy methodology was used to determine weight values of the criteria. In this study, α = 0.1, 0.5 and 0.9 values based sensitivity analysis were performed. Three α-cutting levels were identical to the sequence of alternatives. According to result, the first criterion in preference ranking of renewable energy sources in Turkey is the Amount of Energy Produced, followed by the ranking systems Land use, Operation and maintenance cost, Installed capacity, Efficiency, Payback period, Investment cost, Job creation, and Value of CO₂ emission. Thus the multi-criteria analysis showed that the Hydro Power Station is determined to be the most renewable energy supply system in Turkey. Additionally, the Geothermal Power Station, Regulator and Wind Power Station are determined to be the second, third and fourth, respectively. The government of Turkey should invest, in order of priority, in these systems. The government should also evaluate the projects, which are related to these renewable energy resources.     

Renewable energy policy goals,programs, and technologies

There is little agreement on what policies are most effective in promoting renewable energy (RE) technologies or even in what it means for a policy to be ‘effective.’ As a result, RE policy-setting can decay into a chaotic process of seeking only to satisfy stakeholders, while losing sight of the larger goals that motivated the original interest in renewables. This paper provides an explicit framework that clarifies the relationship between goals, programs, and technologies. Specifically, this paper argues that there is an explicit and simple linear relationship between these three concepts, and shows how a specific policy goal is best accomplished by distinct programs and technologies. This framework can assist decision-makers by clarifying that, if they choose a specific goal, then there are a specific set of corresponding programs and technologies that will best meet that goal. This framework is applied to Ireland, which is currently considering policy change to encourage greater implementation of renewables.     

Bioenergy transition in rural China: Policy options and co-benefits

This paper reviews the current situation of bioenergy development in China, particularly on its relationship to sustainable rural development. It argues that the current government strategy, investment policy and industrial interest are over-emphasized on biomass-burning power generation as part of the clean energy development trajectories, which may not lead to the most cost-effective outcomes in terms of investments, resource use and social development objectives. It points out that there are large potentials in developing and disseminating household-based biomass technologies in rural areas, especially with energy-efficient modern biomass stoves, which can produce far more economic, social and environmental benefits than biomass power plants. It is a decentralized solution to use renewable energy resources for meeting multi-objectives. It is suggested that key incentive policies be provided by the government to encourage this technological transition, or the leapfrogging from using traditional household stoves towards modern biomass stoves, which will lead to a win–win situation in global, regional and local environmental protection, sustainable resource management and related social benefits, particularly for the poor in remote communities. Six policy recommendations are made: (1) financial schemes development; (2) preferable tax and carbon tax; (3) regulatory policy reform; (4) service industry support; (5) market research, training and capacity building for key stakeholders; (6) development of methodologies and standards for CDM projects. The potential co-benefits brought up by this massive biomass technology transition will bring new perspectives to realizing Millennium Development Goals (MDGs) and global CO₂ emissions reduction targets in China, and also set an example to other developing countries.