Decision support tools for collaborative marine spatial planning: identifying potential sites for tidal energy devices around the Mull of Kintyre,Scotland

The expansion of offshore renewable energy production, such as wind, wave and tidal energy, is likely to lead to conflict between different users of the sea. Two types of spatial decision support tools were developed to support stakeholder workshops. A value mapping tool combines regional attributes with local knowledge. A negotiation support tool uses these value maps to support stakeholders in finding acceptable locations for tidal energy devices. Interactive value mapping proved useful to address deficiencies in data and to create credibility for these maps. The negotiation tool helped stakeholders in balancing objectives of the various stakeholders.     

Indicators for sustainable energy development in Lithuania

This article summarizes some of the results from the application of the indicators for sustainable energy development (ISED) tool for analyzing Lithuania's energy sector, in terms of trends, setting energy policy goals and monitoring progress towards these goals. This experience illustrates the potential applicability of the ISED methodology for energy policy development in economies in transition, using Lithuania as an example. The article presents a summary of the results achieved and conclusions arrived at from the analysis of six priority areas in the context of the research project coordinated by the International Atomic Energy Agency, and provides recommendations for the development of sustainable energy policy using the ISED approach.     

An Integrated Benchmarking and Energy Savings Tool for the Iron and Steel Industry

Benchmarking can be a useful tool for understanding energy consumption patterns in an industrial facility and for designing policies to improve energy efficiency. Energy benchmarking for industry is a process in which the energy performance of an individual plant is compared against a common metric that represents ‘standard’ or ‘optimal’ performance. While benchmarking provides insights into the relative energy performance of the plant, it is also a good starting point for analysis of further improvement opportunities. In this paper, the development of an integrated benchmarking and energy efficiency evaluation tool, named BEST (Benchmarking and Energy Savings Tool), is described. The tool is based on a process-step benchmarking approach that allows for a wide variety of differences in feedstocks and products to be included in a fair comparison. BEST has been developed to support two Chinese integrated iron and steel plants in designing a strategic energy management program. BEST has been successfully applied to develop strategic energy-efficiency improvement targets. We describe the tool and report on its use.     

Assessment of thermodynamics performance with sustainable propulsion indicators of a seaplane engine for different temperatures in the same altitude

Seaplanes have become an important tool along with rapidly developing technology in modern transportation for many countries related to sea. Considering the environmental evaluation for these aircraft, decreasing fossil fuels consumption and energy efficiency are important points for sustainability. For this purpose, in this study, first, the energy and exergy analyses based on the real data of a turboprop engine used in seaplane taken as the reference were performed. Then, new indicators developed for the sustainable propulsion index were examined and evaluated separately. The analyses were made for an altitude of 9000 ft and three different dead state temperatures of ?33°C, ?3°C, and 27°C. According to the analyses, while the average energy efficiencies were found to be 34.7%, 37.8%, and 40.7%, the average exergy efficiencies were found to be 19.24%, 21.25%, and 23.20%, respectively. In addition, the improvement potential due to irreversibility and entropy production for each case was also calculated and the results of the sustainable emission index were found to be very low. At the end of the study, the results were evaluated and some suggestions for the effective use of energy in the seaplanes were made.     

General mathematical models for LCI recycling

Life cycle inventory (LCI) is becoming more widely used as a tool to evaluate the resource and energy use and the environmental releases associated with various products. The methodology for handling different recycling scenarios is also becoming increasingly important. Several different methods exist for handling recycling in an LCI. The method described in this paper uses mathematical models to show that the same basic equations can be used to handle a variety of recycling options for multi-product systems.     

Thought for Fuelling Change: A Review of Three Models for Understanding Environmentally Significant Transitions

For over a century, western economic development has depended upon the use of combustible hydrocarbons for its energy needs. The 20th century saw the prolific exploitation of fossil hydrocarbon sources (coal and oil) which are finite and exhaustible. There is a clear need for society to conserve such non-renewable resources. In addition to conservation, a wholesale switch to renewable energy sources should be seen as the first research and development priority. In the interim, moving towards a crop-based fuel economy appears to be a good alternative to provide the necessarily dramatic changes in lifestyle and mindset that would be required of consumers, for a wholesale shift away from hydrocarbon combustion. Before programs and policies designed to address the need for an interim or alternative energy and materials economy are put into place however, it is important to understand the barriers and opportunities put forth by society itself. Conventional frameworks designed to understand this type of change are of limited assistance. This paper argues that institutional thinking is a very useful tool in addressing these types of environmental problems.     

Screening of environmental pressure from products in the Swedish railway infrastructure: Implications for strategic environmental management

This paper proposes a method to be used in environmental reviews as an initial tool for estimating upstream environmental pressures from material use in organisations dealing mostly with construction materials. Upstream environmental pressures are often omitted in environmental reviews from organisations and instead tend to be site specific, with a limited life-cycle perspective. This paper uses the Swedish National Rail Authority as a case to present the approach. An energy indicator is used to estimate the environmental pressure of material use.In the studied building project, a small set of products contribute to a major part of the material use and the material-related energy use. The energy use is almost exclusively of nonrenewable energy carriers. The three most important products are all homogenous and non-complex, which makes the energy indicator well suited for the analysis. The organisation can use the results to focus on the most important products and also to see which parts of the organisation contribute to the material-related energy use. Rail traffic in Sweden is almost exclusively from non-fossil-based energy carriers. This highlights the importance of the infrastructure to the overall environmental pressure of the railway. Consequently, if road transport were to shift away from fossil fuels, railways earlier environmental advantages would diminish, since research suggests that railway infrastructure is more energy intensive than road infrastructure.     

Indicators for sustainable energy development: An initiative by the International Atomic Energy Agency

Since 1999, the International Atomic Energy Agency (IAEA) has been leading a multinational, multi‐agency effort to develop a set of energy indicators useful for measuring progress on sustainable development at the national level. This effort has included the identification of major relevant energy indicators, the development of a framework for implementation and the testing of the applicability of this tool in a number of countries. To achieve these goals, the IAEA has worked closely with other international organizations, leaders in energy and environmental statistics and analysis including the United Nations Department of Economic and Social Affairs (DESA), the International Energy Agency (IEA), Eurostat and the European Environment Agency (EEA). Also, the IAEA completed a three‐year coordinated research project for the implementation and testing of the original set of indicators in seven countries — Brazil, Cuba, Lithuania, Mexico, the Russian Federation, the Slovak Republic and Thailand. This article provides an overview of the IAEA programme on Indicators for Sustainable Energy Development (ISED) and highlights its experiences and accomplishments.     

Evaluating opportunities to improve material and energy impacts in commodity supply chains

When evaluated at the scale of individual processes, next-generation technologies may be more energy and emissions intensive than current technology. However, many advanced technologies have the potential to reduce material and energy consumption in upstream or downstream processing stages. In order to fully understand the benefits and consequences of technology deployment, next-generation technologies should be evaluated in context, as part of a supply chain. This work presents the Materials Flow through Industry (MFI) supply chain modeling tool. The MFI tool is a cradle-to-gate linear network model of the US industrial sector that can model a wide range of manufacturing scenarios, including changes in production technology and increases in industrial energy efficiency. The MFI tool was developed to perform supply chain scale analyses in order to quantify the impacts and benefits of next-generation technologies and materials at that scale. For the analysis presented in this paper, the MFI tool is utilized to explore a case study comparing three lightweight vehicle supply chains to the supply chain of a conventional, standard weight vehicle. Several of the lightweight vehicle supply chains are evaluated under manufacturing scenarios that include next-generation production technologies and next-generation materials. Results indicate that producing lightweight vehicles is more energy and emission intensive than producing the non-lightweight vehicle, but the fuel saved during vehicle use offsets this increase. In this case study, greater reductions in supply chain energy and emissions were achieved through the application of the next-generation technologies than from application of energy efficiency increases.     

Bulgaria Country Study to address climate change mitigation

Future developments of the Bulgarian economy, energy demand, energy supply, and greenhouse gas (GHG) emissions are projected and evaluated for baseline and mitigation scenarios. Different methods and approaches are used at different stages of the study with a tendency to incorporate them in a single integrated resource planning tool such as the MARKAL-MACRO model. The results obtained indicate that the aim of Framework Convention of Climate Change to have year 2000 GHG emissions below the base year 1988 emissions will be achieved without further mitigation steps. Reducing the expected increase of GHG emissions in the decade 2000 to 2010 requires a package of mitigation measures to be implemented in the next few years.

     

Exergy analysis as a tool for the integration of very complex energy systems: The case of carbonation/calcination CO2 systems in existing coal power plants

A common characteristic of carbon capture and storage systems is the important energy consumption associated with the CO₂ capture process. This important drawback can be solved with the analysis, synthesis and optimization of this type of energy systems. The second law of thermodynamics has proved to be an essential tool in power and chemical plant optimization. The exergy analysis method has demonstrated good results in the synthesis of complex systems and efficiency improvements in energy applications.In this paper, a synthesis of pinch analysis and second law analysis is used to show the optimum window design of the integration of a calcium looping cycle into an existing coal power plant for CO₂ capture. Results demonstrate that exergy analysis is an essential aid to reduce energy penalties in CO₂ capture energy systems. In particular, for the case of carbonation/calcination CO₂ systems integrated in existing coal power plants, almost 40% of the additional exergy consumption is available in the form of heat. Accordingly, the efficiency of the capture cycle depends strongly on the possibility of using this heat to produce extra steam (live, reheat and medium pressure) to generate extra power at steam turbine. The synthesis of pinch and second law analysis could reduce the additional coal consumption due to CO₂ capture 2.5 times, from 217 to 85 MW.     

An analysis of the use of life cycle assessment for waste co-incineration in cement kilns

Life cycle assessment, LCA, has become a key methodology to evaluate the environmental performance of products, services and processes and it is considered a powerful tool for decision makers. Waste treatment options are frequently evaluated using LCA methodologies in order to determine the option with the lowest environmental impact. Due to the approximate nature of LCA, where results are highly influenced by the assumptions made in the definition of the system, this methodology has certain non-negligible limitations. Because of that, the use of LCA to assess waste co-incineration in cement kilns is reviewed in this paper, with a special attention to those key inventory results highly dependent on the initial assumptions made. Therefore, the main focus of this paper is the life cycle inventory, LCI, of carbon emissions, primary energy and air emissions. When the focus is made on cement production, a tonne of cement is usually the functional unit. In this case, waste co-incineration has a non-significant role on CO₂ emissions from the cement kiln and an important energy efficiency loss can be deduced from the industry performance data, which is rarely taken into account by LCA practitioners. If cement kilns are considered as another waste treatment option, the functional unit is usually 1 t of waste to be treated. In this case, it has been observed that contradictory results may arise depending on the initial assumptions, generating high uncertainty in the results. Air emissions, as heavy metals, are quite relevant when assessing waste co-incineration, as the amount of pollutants in the input are increased. Constant transfer factors are mainly used for heavy metals, but it may not be the correct approach for mercury emissions.     

Modeling Energy Savings from Urban Shade Trees: An Assessment of the CITYgreen® Energy Conservation Module

CITYgreen® software has become a commonly used tool to quantify the benefits of urban shade trees. Despite its frequent use, little research has been conducted to validate results of the CITYgreen energy conservation module. The first objective of this study is to perform a familiar application of CITYgreen software to predict the potential energy savings contribution of existing tree canopies in residential neighborhoods during peak cooling summer months. Unlike previous studies utilizing CITYgreen, this study also seeks to assess the software’s performance by comparing model results (i.e., predicted energy savings) with actual savings (i.e., savings derived directly from energy consumption data provided by the electric utility provider). Homeowners in an older neighborhood with established trees were found to use less energy for air-conditioning than homeowners in a recently developed site. Results from the assessment of model performance indicated that CITYgreen more accurately estimated the energy savings in the highly vegetated, older neighborhood.     

Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine

Nowadays, biodiesel is used as one of the alternative renewable energy due to the increasing energy demand. However, optimum production of biodiesel still requires a huge number of expensive and time-consuming laboratory tests. To address the problem, this research develops a novel Genetic Algorithm-based Evolutionary Support Vector Machine (GA-ESIM). The GA-ESIM is an Artificial Intelligence (AI)-based tool that combines K-means Chaotic Genetic Algorithm (KCGA) and Evolutionary Support Vector Machine Inference Model (ESIM). The ESIM is utilized as a supervised learning technique to establish a highly accurate prediction model between the input--output of biodiesel mixture properties; and the KCGA is used to perform the simulation to obtain the optimum mixture properties based on the prediction model. A real biodiesel experimental data is provided to validate the GA-ESIM performance. Our simulation results demonstrate that the GA-ESIM establishes a prediction model with better accuracy than other AI-based tool and thus obtains the mixture properties with the biodiesel yield of 99.9%, higher than the best experimental data record, 97.4%.     

Two Paths to Industrial Ecology: Applying the Product-based and Geographical Approaches

The development of the practical side of the concept of industrial ecology has taken two different but interrelated paths during the last two decades: the product-based systems perspective; and the geographically defined local-regional industrial ecosystem approach. Both approaches focus on material and energy flows aiming at reducing the industrial system's virgin resource use and waste and emission outputs. The ideal has arisen to mimic the model of a sustainable natural ecosystem, which relies solely on solar energy as the input and creates cyclical flows of materials (and related energy cascades) between organisms and in the food chain. It is argued in the industrial ecology literature that wastes, as defined in human industrial system terms, are non-existent in the natural recycling system. In this paper, an application of the product-based systems approach is given with paper life cycles and a basic life cycle inventory model. An application to the regional approach is presented in the regional energy supply system of the city of Jyväskylä in Finland. The paper aims at discussing the two approaches in industrial ecology and considers their contradictory characteristics as well as their similarities. When the basic vision and the overriding goal is the local industrial ecosystem, the product-based approach can serve as an inventory tool to support the project. In this situation, the two approaches would seem to be each other's complement. When the two approaches are adopted as each other's substitute, they may support conflicting decisions for environmental policy and management. This may create difficulties in the implementation of industrial ecology. On the basis of both of the approaches to industrial ecology, the external environment of an organization is considered to comprise the societal material and energy flow environment and the natural material and energy flow environment .     

夹点技术--一种有效的清洁生产方法

夹点技术作为一种有效的清洁生产措施可用于能源优化、资源节约、废物减量及污染防治等方面，能收到良好的经济效益和环境效益。本文介绍夹点技术的基本原理、应用研究领域及其发展趋势。     

Indicators for sustainable energy development: Brazil's case study

This article summarizes the results of the project on indicators for sustainable energy development (ISED) in Brazil. The project's aim was to present energy related economic, social and environmental data to policy makers in a coherent and consistent form, showing interlinkages, time‐series and cross‐sectoral analyses and assess energy policy. Two priority areas assessed by these indicators, regarding the country's energy supply and demand, helped in the identification of a number of energy policy options that focused on specific aspects of the country's energy sector. On the supply side, these options include the development and stimulation of renewable energy, such as small‐scale hydroelectric, wind, solar photovoltaic power and bagasse cogeneration; stimulation of programmes for ethanol use as automotive fuel and sugarcane bagasse cogeneration; and implementation of natural gas‐fired, combined heat and power (CHP) plants. On the demand side, policy options include: the full implementation of the law on efficiency standards for appliances; expansion of utility investment in end‐use energy efficiency; adoption of targets and protocols to reduce energy intensity in the industrial sector; improvement of passenger transport efficiency; and the creation of a fund to improve energy affordability for the poor.     

Development and testing a diagnostic capacity tool for improving socio-ecological system governance

The capacity to sustainably govern complex socio-ecological systems (SES) has been identified as a necessary but daunting task by SES scholars, resource stewards and stakeholders. This research sought to inform the question: What are determinant capacities and functional linkages that can be incorporated into diagnostic tools for analysts seeking to improve sustainable socio-economic system SES governance? Literature was used to identify and translate determinant capacities and functional linkages into a quantifiable metric of governance quality. The tool was developed from ecological, business, governance and decision science literature. This tool recognizes the dynamic and systemic linkages between the resources and the social systems that use and govern them for improving systems thinking and SES outcomes. The tool was tested to determine its ability to capture perceived characteristics of governance quality and problem management using Michigan’s cleanup and redevelopment program. The results of this research indicated that the exploratory tool was reliable and valid. This research contributes to the evolving body of SES frameworks, specifically the study of individual and organizational capacities for improved SES outcomes. The implications of this research suggest participatory network-based governance with higher levels of resource exchange, in the form of interdependency, trust, diplomacy and reciprocity, aligns with practitioners’ perceptions of improved program performance. Further, while some capacities and related findings of this research may be context specific, concepts associated with the development and testing of this diagnostic tool, such as the use of systems thinking, participatory network-based governance, and related competencies, may have more universal application.     

基于灰色神经网络的能源消费组合预测模型

组合预测对于信息不完备的复杂经济系统具有一定的实用性。鉴于能源消费系统的复杂性和非线性特征，利用我国能源消费的历史数据，采用灰色预测的GM（1，1）、无偏GM（1，1）和pGM（1，1）3种模型与人工神经网络进行优化组合，建立了灰色神经网络的能源消费组合预测模型，实证分析结果获得了更为精确的预测效果，可以作为能源消费预测的有效工具。同时，能源消费的预测结果也表明今后必须以节能为主导思想，努力建设资源节约型社会和环境友好型社会。     

Indicators for sustainable energy development in Thailand

This article examines energy priorities for Thailand from the economic, social and environmental perspectives of sustainable development. The article uses a set of indicators devised by the International Atomic Energy Agency in partnership with other international agencies and research institutes in seven countries. Thailand's energy efficiency in the 1980s and 1990s are analysed using energy intensity indicators, and possible impacts on sustainable energy development are highlighted. The early 1990s in particular was an important period for Thailand, as the country was at the height of its economic growth, and a number of energy efficiency and conservation programmes were launched. Energy intensity indicators show continuing and faster growth in energy consumption relative to economic activity. The financial crisis in the late 1990s did halt growth in energy consumption, with positive consequences on environmental emissions, but only temporarily as Thailand's economy quickly started to recover in 2000. Notwithstanding the financial crisis, the other indicators show significant progress in economic and social dimensions.