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Minimising carbon footprint of regional biomass supply chains

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TLDR
In this article, a new method for regional energy targeting and supply chain synthesis is presented, which is applied to assess the feasible ways for transferring energy from renewable sources to customers in a given region.
Abstract
A new method for regional energy targeting and supply chain synthesis is presented. A demand-driven approach is applied to assess the feasible ways for transferring energy from renewable sources to customers in a given region. The studied region is partitioned into a number of clusters by using the developed Regional Energy Clustering (REC) algorithm. The REC targets aim at minimising the system carbon footprint (CFP). The biomass energy supply and management are targeted using new graphical representations. Regional Energy Surplus–Deficit Curves (RESDC) visualises the formation and the sizes of introduced energy clusters. Regional Resource Management Composite Curve (RRMCC) an analogy of the Process Integration approach shows the energy imbalances helping in trading-off resources management. These graphical tools provide straightforward information of how to manage the surplus resources (biomass and land use) in a region.

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A Review of Footprint analysis tools for monitoring impacts on sustainability

TL;DR: An overview of the definitions and units of measurement associated with environmental, social, and economic footprints is presented in this paper, where composite footprints combining two or more individual footprints are also assessed.
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Forty years of Heat Integration: Pinch Analysis (PA) and Mathematical Programming (MP)

TL;DR: Process Integration supporting Process Design, Integration, and Optimisation has been around from the early 1970s and its development has accelerated over the years as its methodology has been able to provide answers and support for important issues regarding economic development.
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Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review

TL;DR: An overview of the optimisation methods and models focussing on decisions regarding the design and management of the upstream segment of the biomass-for-bioenergy supply chain is given in this paper.
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Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions

TL;DR: In this article, the authors provide a comprehensive review and classification of the excising literature in modeling of biomass supply chain operations while linking them to the wider strategic challenges and issues with the design, planning and management of the biomass supply chains.
Journal ArticleDOI

New directions in the implementation of Pinch Methodology (PM)

TL;DR: A review of the most significant implementations of the Pinch analysis can be found in this article, where the authors identify and substantiate future directions of research for Pinch Methodology applications.
References
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Journal Article

Clusters and the new economics of competition.

TL;DR: Economic geography in an era of global competition poses a paradox: in theory, location should no longer be a source of competitive advantage, but in practice, Michael Porter demonstrates, location remains central to competition.
Book

World energy assessment : energy and the challenge of sustainability

TL;DR: In this paper, the authors discuss the linkage between energy and economic, social, environmental, and security issues, and analyzes the contradictions between current patterns of use and objectives in these areas.
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Biofuels, biodiversity, and people: Understanding the conflicts and finding opportunities

TL;DR: In this article, the authors evaluate the environmental and societal costs of biofuel use and highlight on-going developments in biofuel feedstock selection and production technologies, and conclude that certain types of biofuels do represent potential sources of alternative energy, but their use needs to be tempered with a comprehensive assessment of their environmental impacts.
Journal ArticleDOI

Autoassociative neural networks

TL;DR: Results show that the network approach is more effective than competitive linear techniques in this application of autoassociative networks used to preprocess data so that sensor-based calculations can be performed correctly even in the presence of large sensor biases and failures.
Journal ArticleDOI

Integrating waste and renewable energy to reduce the carbon footprint of locally integrated energy sectors

TL;DR: In this article, total site targeting has been successfully applied to integrate renewables into the energy source mix and consequently reduce the carbon footprint of these locally integrated energy sectors, which shows that it can be successfully applied in the processing industry.
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