Sustainable Biomass Supply Chains Research Articles

An integrated scenario-based multi-period multi-objective mathematical model for a sustainable biomass supply chain network considering social factors and disruption risk under uncertainty

An integrated scenario-based multi-period multi-objective mathematical model for a sustainable biomass supply chain network considering social factors and disruption risk under uncertainty

Green and sustainable biomass supply chain for environmental, social and economic benefits

Bioenergy is a clean and renewable source of energy that can reduce global depency on fossil fuel, and it is a sustainable, economically viable, and socially acceptable. Bioenergy production aligns with several United Nations Sustainable Development Goals (SDGs) directly or indirectly. Bioenergy feedstocks are spatio-temporally distributed and, therefore, design of a green and sustainable Biomass Supply Chain (BSC) is pivotal for effective commercialization of bioenergy. The BSC starts with biomass harvest and includes collection, processing, storage, and transportation as intermediate processes and ends with biomass delivery at the conversion facilities. All these processes are spatially interlinked. Cost-effective bioenergy generation requires an effective and efficient BSC model. The absence of such model is the major cause of failure of bioenergy plants. With this backdrop, this paper reviewed literature related to BSC, and its elements. The elements are then linked with emissions, economy, and socio-cultural aspects to draw a wider picture of bioenergy for sustainable development. The challenges associated with bioenergy are elucidated with in-depth discussion. The analysis shows that green and sustainable BSC can be a major tool to achieve UN SDGs in many ways. On the contrary, present situation of BSC is challenging from multiple perspectives: environmental, socio-cultural, economic, policy, institutional as well as technological challenges. To achieve global deployment of bioenergy with net zero emissions target, use of advanced and emerging tools and techniques like artificial intelligence, machine learning, remote sensing & GIS, Life Cycle Assessment (LCA) and Bioenergy with Carbon Capture and Storage (BECCS) is recommended.

Integrated Land Suitability Assessment for Depots Siting in a Sustainable Biomass Supply Chain.

A sustainable biomass supply chain would require not only an effective and fluid transportation system with a reduced carbon footprint and costs, but also good soil characteristics ensuring durable biomass feedstock presence. Unlike existing approaches that fail to account for ecological factors, this work integrates ecological as well as economic factors for developing sustainable supply chain development. For feedstock to be sustainably supplied, it necessitates adequate environmental conditions, which need to be captured in supply chain analysis. Using geospatial data and heuristics, we present an integrated framework that models biomass production suitability, capturing the economic aspect via transportation network analysis and the environmental aspect via ecological indicators. Production suitability is estimated using scores, considering both ecological factors and road transportation networks. These factors include land cover/crop rotation, slope, soil properties (productivity, soil texture, and erodibility factor) and water availability. This scoring determines the spatial distribution of depots with priority to fields scoring the highest. Two methods for depot selection are presented using graph theory and a clustering algorithm to benefit from contextualized insights from both and potentially gain a more comprehensive understanding of biomass supply chain designs. Graph theory, via the clustering coefficient, helps determine dense areas in the network and indicate the most appropriate location for a depot. Clustering algorithm, via K-means, helps form clusters and determine the depot location at the center of these clusters. An application of this innovative concept is performed on a case study in the US South Atlantic, in the Piedmont region, determining distance traveled and depot locations, with implications on supply chain design. The findings from this study show that a more decentralized depot-based supply chain design with 3depots, obtained using the graph theory method, can be more economical and environmentally friendly compared to a design obtained from the clustering algorithm method with 2 depots. In the former, the distance from fields to depots totals 801,031,476 miles, while in the latter, it adds up to 1,037,606,072 miles, which represents about 30% more distance covered for feedstock transportation.

Financial Model of Levelized Cost of Electricity (LCOE) for Bioenergy Resources in Pakistan

For agriculture-based economies, energy generation through biomass is currently among the few practical means for overcoming energy and environmental crisis. However, economic assessment for bioenergy poses significant challenges to the developing nations due to limited availability of data and existing financial models. This study therefore conducts an economic assessment for Pakistan based on Levelized Cost of Electricity (LCOE) for those bioenergy technologies which are commercially available in developing countries. These technologies vary from thermal processes such as biomass gasification or incineration in turbines to bio-chemical processes such as anaerobic digestion. LCOE modeling was performed through a mathematical set of equations driven by input parameters i.e., Feedstock price, total capital cost, auxiliary cost, operation and maintenance cost, capacity factor, and plant lifecycle. The results obtained from the modeling depicted that LCOE for bioenergy in Pakistan may vary from as low as $0.06/kWh to as high as $0.315/kWh. Combustion techniques like stoker boiler and Circulating Fluidized Bed (CFB) have lower cost and yield better economic value with LCOE ranging from $0.06-0.22/kWh. Further, feedstock cost is the most dominant factor that contributes to approximately 60% of the total LCOE. Hence, to make bioenergy economically viable, a sustainable biomass supply chain is essential. This will not only provide a sound energy alternative for developing countries, but it will also contribute towards social and environmental sustainability.

Designing a resilient and sustainable biomass supply chain network through the optimization approach under uncertainty and the disruption

The main aim of designing a supply chain network (SCN) is to develop chain profitability and customer satisfaction. The appropriate design of this network plays a crucial role in obtaining the goals of the supply chain, in particular, the level of responsiveness and efficiency. This paper reports on designing a resilient and sustainable biomass supply network by an optimization method based on the uncertainty in bio-energy demand and the disruption in the bio-refinery. First, the relation between resilience factors and sustainability indicators is determined by specifying the critical resilience factors and sustainability indicators of the biomass supply chain (BMSC). Then, the practical resilience factors in the BMSC are prioritized through multi-criteria decision method (MCDM). The factors of higher priority are considered in the proposed model. The objective function is of a profit maximization type. A robust approach is proposed for overcoming the uncertainty in bioenergy demand. The results of solving models by General Algebraic Modeling System (GAMS) software, are given for representing the model applicability. The sensitivity analysis is carried out to examine whether the amount of residual capacity has changed the impact of the disruption. The applicability of the proposed approach was investigated through a case study in the “SATBA” Organization of Iran.

Realizing Sustainable Biomass Utilization Through Circular Economy Concepts

Owing to carbon neutrality, biomass is a popular renewable energy source in the global context. In Sri Lanka, a significant portion of primary energy supply in industrial and domestic sectors comes from biomass sources but a sustainable biomass supply chain is yet to be realized. Researchers at the Department of Chemical and Process Engineering are working towards the realization of circular bioeconomy with novel concepts of thermochemical biomass pretreatment technologies.

Contribution of Biomass Supply Chains for Bioenergy to Sustainable Development Goals

This work evaluates the relationships between bioenergy and related biomass supply chains and the United Nations Sustainable Development Goals (SDGs). Using Nilsson et al. (2016) seven-point scoring framework, the relationships between biomass supply for bioenergy and the SDGs were evaluated based on existing synthesis papers, modeling studies and empirical analyses, and expert knowledge. To complement this, contributions to SDG targets of 37 best practice case studies from around the world were documented. In reviewing these case studies, it was found that when supply chains are implemented appropriately and integrated with existing systems, they can have overwhelmingly positive contributions. Beyond directly contributing to SDG 7 (Affordable and Clean Energy), at least half of all case studies supported progress toward SDGs 8 (Decent Work and Economic Growth), 9 (Industry, Innovation, and Infrastructure), and 12 (Responsible Production and Consumption); however, the ways in which supply chains contributed often differed. Agricultural biomass supply chains (energy crops and residues) were most likely to contribute to SDGs 2 (Zero Hunger) and 6 (Clean Water and Sanitation), while waste and forest supply chains were most likely to contribute to SDG 15 (Life on Land). The development of bioenergy systems in rural and indigenous communities also indirectly supports societal SDGs such as SDGs 1 (No Poverty), 4 (Quality Education), 5 (Gender Inequality), and 10 (Reduced Inequalities). This work informs how SDGs can be used as a normative framework to guide the implementation of sustainable biomass supply chains, whether it is used for bioenergy or the broader bioeconomy. Recommendations for key stakeholders and topics for future work are also proposed.

Neutrosophic Mathematical Programming for Optimization of Multi-Objective Sustainable Biomass Supply Chain Network Design

Neutrosophic Mathematical Programming for Optimization of Multi-Objective Sustainable Biomass Supply Chain Network Design

Multi-objective optimization of sustainable biomass supply chain network design

This paper addresses the optimal design and planning of the biomass supply chain network that encompasses flow from poultry farms to biogas facilities. A novel multi-stage solution methodology is developed to solve the sustainable biomass supply chain network design problem. Geographical Information Systems, and Analytic Hierarchy Process Techniques are used to determine the candidate location of biogas facilities. The proposed multi-objective mixed integer linear programming model is capable of making strategic decisions (optimal biogas facility locations with capacities) along with the tactical decisions (transportation network flows). The model incorporates the two objective function of maximization of the profit, and minimization of total distance between poultry farms and biogas facilities. The aim is to determine the optimal number, location, and size of the biogas facilities, as well as the network flow, and electricity generated. The applicability of the model and solution methodology is demonstrated through a case study for a poultry supply chain network in Turkey. Additionally, sensitivity analysis is conducted to account for the impact of different parameters on the model. Sensitivity analysis show that both maximum distance parameter, and purchasing prices have major impact on decisions, and financial yield.

Sustainable biomass supply chain network design with biomass switching incentives for first-generation bioethanol producers

Sustainable energy requires renewable energy sources to reduce reliance on fossil fuels. As a renewable energy source, first-generation bioethanol has been produced from corn. However, the production of such a biofuel increases corn-based food prices resulting in serious food versus fuel debates. Financial incentives would motivate first-generation bioethanol producers switching to second-generation bioethanol production. This study investigates the effects of two financial incentives (incentive payments and emissions penalties) motivating first-generation bioethanol producers to use second-generation biomass. These financial incentives are integrated into linear programming models to maximize the profit of the bioethanol supply chains in the state of North Dakota. Numerical results indicate that first-generation bioethanol production is more efficient than the second-generation bioethanol. Hence, the social value of using corn as a source for food instead of fuel must be at least $2.38/bushel. Furthermore, to switch from the first to the second-generation biofuel production, bioethanol producers must either receive at least an incentive payment of $0.8495 per gallon of second-generation bioethanol or pay at least a penalty of $3.2573 per Kg CO2e emitted due to first-generation bioethanol production. The results of this study support policymaker decisions in developing incentive programs to promote sustainable second-generation bioethanol in the US.

Transportation system analysis of empty fruit bunches biomass supply chain based on delivery cost and greenhouse gas emissions

The future of sustainable energy supply and production is moving toward the use of renewable sources like biomass. It is important to develop sustainable biomass supply chain (BSC) by enhancing energy security, decreasing air pollution, and reduction of total cost. The main barriers in the sustainable development of BSC are transportation cost and greenhouse gas (GHG) emissions that represent substantial proportion of the total cost of the BSC. This paper aims to examine the delivery cost and GHG emissions of different transportation modes (train and truck) of oil palm empty fruit bunches (EFB) biomass supply chain. To achieve this goal, we used the data of three EFB suppliers in Malaysia as a case study. We then developed a dynamic simulation model using AnyLogic software to predict the delivery cost and greenhouse gas emissions. Results showed that the highest GHG emissions were associated with train transportation mode while it was lowest with truck. Cost analysis showed that highest cumulative transportation cost is associated with truck while train has the lowest cumulative transportation costs. These results highlight the opportunity for decision makers to minimize the delivery cost and GHG emissions by optimizing the transportation systems for BSC.

The future of biomass and bioenergy deployment and trade: a synthesis of 15 years IEA Bioenergy Task 40 on sustainable bioenergy trade

AbstractCurrent biomass production and trade volumes for energy and new materials and bio‐chemicals are only a small fraction to achieve the bioenergy levels suggested by many global energy and climate change mitigation scenarios for 2050. However, comprehensive sustainability of large scale biomass production and trading has yet to be secured, and governance of developing biomass markets is a critical issue. Fundamental choices need to be made on how to develop sustainable biomass supply chains and govern sustainable international biomass markets. The aim of this paper is to provide a vision of how widespread trade and deployment of biomass for energy purposes can be integrated with the wider (bio)economy. It provides an overview of past and current trade flows of the main bioenergy products, and discusses the most important drivers and barriers for bioenergy in general, and more specifically the further development of bioenergy trade over the coming years. It discusses the role of bioenergy as part of the bioeconomy and other potential roles; and how it can help to achieve the sustainable development goals. The paper concludes that it is critical to demonstrate innovative and integrated value chains for biofuels, bioproducts, and biopower that can respond with agility to market factors while providing economic, environmental, and societal benefits to international trade and market. Furthermore, flexible biogenic carbon supply nets based on broad feedstock portfolios and multiple energy and material utilization pathways will reduce risks for involved stakeholder and foster the market entry and uptake of various densified biogenic carbon carriers. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd

Contributing to a European Bioenergy Trade Strategy for 2020 and Beyond

Modern bioenergy was recently called the “overlooked giant of the renewable energy field,” by Dr Fatih Birol, the IEA's Executive Director. It's latest market forecast shows that modern bioenergy will likely have the biggest growth in renewable resources between 2018 and 2023, underscoring its critical role in building a robust renewable portfolio and ensuring a more secure and sustainable energy system. Part of the recent growth of modern bioenergy was made possible by international trade of biomass for energy – which has increased strongly in the past two decades. As shown in this issue, about 2% of all bioenergy used nowadays is traded internationally - prominent examples are wood pellets, ethanol and biodiesel, which are all shipped across the globe. This trade is typically occurring between regions with an abundant supply of biomass (such as Canada, the US and Brazil), and regions with a demand for the resources to meet renewable energy targets, e.g. for electricity production or transport fuels. Biomass trade has been able to mobilize under-utilized biomass resources in many parts of the world, often also enabling local use as well once the supply chains are in place. But biomass trade has also been facing a number of challenges: logistic chains need to be set up and optimized, biomass markets are often still in their infancy due to a lack of fungible products, and international sustainability governance frameworks have to be implemented and monitored. This special issue bundles key insights from two major projects who have looked at these challenges in detail. The main aim of the BioTrade2020plus project was to provide guidelines for the development of a European Bioenergy Trade Strategy for 2020 and beyond. It contributed to strategies to ensure that imported biomass feedstock is sustainably sourced and used in an efficient way, while avoiding distortion of other markets. The work carried out included an analysis of the sustainability risks of current and future lignocellulosic biomass and bioenergy carriers for potential sourcing regions, such as the US, Ukraine, Brazil, Eastern Africa, Colombia and Indonesia. The BioTrade2020plus was supported by the Intelligent Energy for Europe Programme of the European Commission. IEA Bioenergy Task 40, part of the IEA Bioenergy Technology Collaboration Programme, has been looking at biomass trade related issues since 2004, publishing amongst others market overviews of e.g. wood pellets, waste wood, wood chips and liquid biofuels, investigating the performance of logistic chains, and working on different ways to ensure the development of sustainable biomass supply chains. The contributions to this special issue show amongst others that there are substantial volumes of sustainable biomass that may still be mobilized in the years to come, but this will require significant efforts. Practical challenges ahead include further developing cost-efficient logistic chains to mobilize difficult resources such as sugarcane straw or empty fruit bunches, and at the same time further improving the GHG performance of supply chains to meet the new ambitious sustainability targets as set under the Renewable Energy Directive 2. More fundamentally, trade of biomass commodities needs to be part of the strategy to integrate bioenergy in the circular bioeconomy, making sure that trade and deployment of bioenergy go hand in hand with achieving SDGs and other policy goals. Looking ahead, it is likely that biomass trade will further increase, driven by new demand, e.g. for biorefineries, to produce biobased chemicals and fuels for the maritime and aviation sectors, but also to replace coal for electricity production in e.g. East Asia. Possibly, this will also mean new ways of trading biomass commodities – the first signs of emerging trade of e.g. aviation biofuels and biomethane are already visible. Long-term forecasts by integrated assessment models show that by 2050, globally-traded biomass volumes might (have to) increase to a size similar to the current trade of fossil fuels in order to make supply and demand meet. But such scenarios can only unfold if they are supported by a wide range of stakeholders and if the challenges sketched above are met. With this special issue, we hope to make a contribution laying out options how this can be achieved. Author: Martin Junginger Contact: H.M.Junginger@uu.nl

Biomass feedstock supply chain network design with biomass conversion incentives

Biomass has the potential to create sustainable energy systems, which is critical for societal welfare. A major issue regarding biomass resources is crop residues or leftover biomass that is burnt by farmers after harvesting; this happens due to high transportation costs which make burning the cheapest way to remove the residue. We develop a decision support system using a large-scale linear program with the goal of maximizing profit with and without the emission cost. This system helps identify farms that would benefit society were they to be incentivized under a biomass crop assistance program (BCAP). A case study of leftover corn stover in the state of North Dakota is analyzed to validate the model. Our results reveal that an incentive of $7.20 per ton of corn stover converted to ethanol when 20% of rail capacity is allocated is ideal, as it produces the lowest emissions of 16,784,953 metric tons with a $73,462,599 profit. Furthermore, penalizing emissions resulting from the transportation of corn stover also helps reduce emissions; a suitable value for the penalty could be $71.7 per metric ton of CO2 emitted. Such a policy would result in reducing dependency on petroleum, thus promoting a sustainable biomass supply chain.

A goal programming model for a sustainable biomass supply chain network

PurposeThe design of a biomass supply chain is a problem where multiple stakeholders with often conflicting objectives are involved. To accommodate the aspects stakeholder, the supply chain design should incorporate multiple objectives. In addition to the supply chain design, the management of energy from biomass is a demanding task, as the operation of production of biomass products needs to be aligned with the rest of the operations of the biomass supply chain. The purpose of the paper is to propose a mathematical framework for the optimal design of biomass supply chain.Design/methodology/approachAn integrated mathematical framework that models biomass production, transportation and warehousing throughout the nodes of a biomass supply chain is presented. Owing to conflicting objectives, weights are imposed on each aspect, and a 0-1 weighted goal programming mixed-integer linear programming (WGP MILP) programming model is formulated and used for all possible weight representations under environmental, economic and social criteria.FindingsThe results of the study show that emphasis on the environmental aspect, expressed with high values in the environmental criterion, significantly reduces the level of CO2 emissions derived from the transportation of biomass through the various nodes of the supply chain. Environmental and economic criteria seem to be moving in the same direction for high weight values in the corresponding aspect. From the results, social criterion seems to move to the opposite direction from environmental and economic criteria.Originality/valueAn integrated mathematical framework is presented modeling biomass production, transportation and warehousing. To the best of the authors’ knowledge, such a model that integrates multiple objectives with supply chain design has not yet been published.

Quantitative method to assess the number of jobs created by production systems: Application to multi-criteria decision analysis for sustainable biomass supply chain

Currently, the implementation of a new production system needs to satisfy three dimensions of sustainability, i.e., it must be economically viable, socially beneficial and have a low environmental impact. Unfortunately, for the social aspect, there is a lack of theoretical underpinnings, in contrast to the environmental dimension, for which the theoretical underpinnings were studied twenty years ago. Indeed, there is not a clear common frame for the social dimension, probably due to the complexity and diversity of social issues. Furthermore, some indicators are difficult to assess because of their qualitative and subjective nature. The availability of input data to evaluate social indicators is often another major bottleneck. However, when considering a new industrial activity, perhaps the most important key indicator in the social assessment is the accrued employment generated. Indeed, the implementation of new industrial activity has the potential to promote the local economy and regional development, especially in rural areas. For authorities and the public, accrued employment is pivotal to facilitate acceptability and to ensure regional sustainability.In this article, the authors propose a method to estimate the total number of jobs created by the development of a new activity. The classic classification of direct, indirect and induced jobs is used. The new methods are based on economic data and, more precisely, on the added value and earnings before interest, tax, depreciation, and amortization to create a correlation to estimate manpower. Different mathematical methods are used to determine the values of the correlation parameters. After comparing the different approaches, this article presents the capabilities of this evaluation and its interest for multi-criteria analysis based on a case study of the optimal design of a bioethanol supply chain in France.

Integrated design and sustainable assessment of innovative biomass supply chains: A case-study on miscanthus in France

Cost-efficient, environmental-friendly and socially sustainable biomass supply chains are urgently needed to achieve the 2020 targets of the Strategic Energy Technologies-Plan of the European Union. This paper investigated technical, social, economic, and environmental barriers to the development and innovation of supply chains, taking into account a large range of parameters influencing the performances of biomass systems at supply chain scale. An assessment framework was developed that combined economic optimization of a supply chain with a holistic and integrated sustainability assessment. The framework was applied to a case-study involving miscanthus biomass in the Burgundy region (Eastern France) to compare alternative biomass supply chain scenarios with different annual biomass demand, crop yield, harvest timing and densification technologies. These biomass supply chain scenarios were first economically optimized across the whole supply chain (from field to plant gate) by considering potential feedstock production (from a high-resolution map), costs, logistical constraints and product prices. Then sustainability assessment was conducted by combining recognized methodologies: economic analysis, multi-regional input-output analysis, emergy assessment, and life-cycle assessment. The analysis of the case study scenarios found that expanding biomass supply from 6,000 to 30,000tons of dry matter per year did not impact the profitability, which remained around 20€perton of biomass procured. Regarding environmental impacts, the scenario with the lowest feedstock supply area had the lowest impact per ton due to low economies of scale. Mobile briquetting proved to be also a viable economic option, especially in situations with a considerable scattering of the crop production and expensive transportation logistics. By highlighting hot-spots in terms of economic, environmental and social impacts of biomass supply systems, this study provides guidance in the supply chain optimization and the design of technological solutions tailored to economic operators as well as other stakeholders, such as policy makers.

Overview of sustainable biomass supply chain: from concept to modelling

The human dependency on finite fossil fuel has led to its drastic depletion. Along with its detrimental effects on the environment, such practice is now deemed unsustainable. This phenomenon has led to the growth for utilisation of biomass in the production of biofuels, biochemical and other related bioproducts. This waste-to-wealth strategy is no doubt highly beneficial to the society. However, the major challenge in the commercialisation of bioproducts production includes the complex conversion processes and the uncertainty in the supply and sources of biomass. Therefore, efficient supply chain management and optimisation is essential to overcome these barriers and variables that may constrain the development of a competitive and sustainable bioproducts market. This overview provides an extensional definition of biomass-to-bioproducts supply chain and systematically describes the problems and decisions along this chain. It also identifies the characteristics of a sustainable integrated biomass supply chain, and finally presents an overview of biomass supply chain synthesis and optimisation methods. Based on the existing research gap, the key challenges and potential future works are highlighted. This paper will provide readers with an initial point to understand the concept of sustainable biomass supply chain management and the synthesis and optimisation of sustainable biomass supply chain models.

Sustainable biomass supply chains from salvage logging of fire-killed stands: A case study for wood pellet production in eastern Canada

Abstract While western Canada is an international leader in the growing pellet market, eastern Canada remains a minor player despite its abundance of wood residues from natural disturbances. This study investigates the potential amount of biomass from salvage logging of fire-killed stands along with harvesting residues from clearcut to supply pellet plants in eastern Canada between. We built and optimized supply scenarios in two forest management units to fulfill different pellet plant capacities under various operational, ecological, and economics constraints. Despite the high spatial and temporal variability of burned area, this study confirms the large quantities of biomass from fire-killed stands available as ecologically sustainable feedstock for bioenergy, which, combined with the comparatively smaller and more stable quantities from clearcut harvesting residues could supply theoretical pellet plants. Our results show that under current market conditions, biomass both from harvest residues and fire-killed stands could fulfill on average between 5% and 66% of a 50 000 ODT y−1 plant needs at a price of $90 ODT−1 of wood chips for the decade considered. With a wood chip price at $120 ODT−1, 100% of the production capacity of a 50 000 ODT y−1 plant or even of a 100 000 ODT y−1 plant could be met. Ecological constraints related to the need to protect sensitive sites and prevent recovery operations on them, and operational constraints related to the capacity of the machinery to recover biomass from a given site, have little impact on the supply of biomass from fire-killed stands. However, important regional variations exist in terms of potentials and constraints, which would need to be taken into account when designing bioenergy industrial networks.

Biomass Production in Agroforestry Systems: V.E.Ri.For Project

The biomass for energy purposes, coming from agroforestry systems and timber industry, can provide various environmental and socio-economic benefits.Among all renewable energy sources, agroforestry biomass represents both an important alternative source to fossil fuels and an opportunity for the socio-economic development of various marginal areas in Italy. In particular, agroforestry is a collective name of land use systems in which woody perennials are grown in association with herbaceous plants and/or livestock in a spatial arrangements, a rotation, or both in which there are both ecological and economic interactions between the tree and the non-tree components of the system. Estimating availability of biomass resources is important to assess bioenergy production potential and so bioenergy contribution to annual energy demand. In the supply of biomass to energy use, the planning of operations is the basis for sustainable development of agroforest system.Most existing forest practice rules and recommendations did not anticipate this increased extraction of woody biomass and offer no specific guidance on how much removal is healthy for ecosystems. Intensification of biomass utilization, particularly for energy and fuel needs, presents a range of potential environmental risks. Therefore, the research focuses on development of guidelines for increasing a sustainable biomass supply chain at local scale, in order to facilitate energy planning that considers the local system carrying capacity and the potential of substitution of fossil fuels.