Renewable Energy Biomass Research Articles

Rearing of Black Soldier Fly Larvae with Corn Straw and the Assistance of Gut Microorganisms in Digesting Corn Straw.

Corn straw is considered a renewable biomass energy source, and its unreasonable disposal leads to resource waste and environmental pollution. Black soldier fly (Hermetia illucens L.) larvae (BSFL) facilitate the bioconversion of various types of organic wastes. In this study, we found that 88% of BSFL survived, and 37.4% of corn straw was digested after 14 days of feeding with corn straw. Contrary to expectations, the pretreatment of corn straw with alkaline hydrogen peroxide did not promote its digestion but rather reduced the growth and survival rates of BSFL. Acinetobacter, Dysgonomonas, and unclassified Enterobacteriaceae were the abundant genera in the BSFL gut fed with corn straw. Compared with the standard diet, the relative abundances of carbohydrate metabolism genes, such as the gene abundances of β-glucosidase and α-glucosidase, were higher with corn straw as the substrate. These results suggested that the gut microbial community could regulate suitable and functional microorganisms in response to the substrates. Furthermore, four cellulase-producing strains, namely Klebsiella pneumoniae, Proteus mirabilis, Klebsiella oxytoca, and Providencia rettgeri, were isolated from the guts of corn straw BSFL. These four strains helped increase the conversion rates of corn straw, the weights of BSFL, and survival rates. In summary, we reared BSFL with corn straw and discovered the functions of gut microorganisms in adapting to the substrates. We also isolated four cellulase-producing strains from the BSFL guts and declared the benefits of BSFL digesting corn straw.

Karakteristik Biopelet dari Serbuk Kayu dan Sekam Padi

As the main source of energy for the country, fossil fuels are used to fulfill the needs in every human activity such as cooking. People usually use kerosene and LPG, which are fossil fuels. The increasing use of fossil fuels is inversely proportional to the earth's reserves in nature. Currently, there is a scarcity of fossil fuels such as LPG and kerosene in several places. As petroleum reserves decrease, both LPG and kerosene also decrease. The use of biomass alternative energy sources is one way to solve the current energy problem. The abundant availability of waste from agricultural products is utilized as biomass renewable energy. This is also one of the alternatives to handling agricultural waste by becoming a renewable fuel, environmentally friendly and more economically valuable. This research aims to utilize rice husk into alternative fuel, analyze the characteristics and quality of a mixture of rice husk and sawdust. Biopelets in this study are made from rice husk and sawdust, there are 3 formulations, namely KS-1 husk content lower than KS-2, KS-2 husk content lower than KS-3. The best biopelet from the test results is biopelet with KS-3 formulation with a moisture content of 7.27%, density of 1.322 g/cm3, and calorific value of 3983.39 cal/g.

Active Remote Sensing Assessment of Biomass Productivity and Canopy Structure of Short-Rotation Coppice American Sycamore (Platanus occidentalis L.)

The short-rotation coppice (SRC) culture of trees provides a sustainable form of renewable biomass energy, while simultaneously sequestering carbon and contributing to the regional carbon feedstock balance. To understand the role of SRC in carbon feedstock balances, field inventories with selective destructive tree sampling are commonly used to estimate aboveground biomass (AGB) and canopy structure dynamics. However, these methods are resource intensive and spatially limited. To address these constraints, we examined the utility of publicly available airborne Light Detection and Ranging (LiDAR) data and easily accessible imagery from Unmanned Aerial Systems (UASs) to estimate the AGB and canopy structure of an American sycamore SRC in the piedmont region of North Carolina, USA. We compared LiDAR-derived AGB estimates to field estimates from 2015, and UAS-derived AGB estimates to field estimates from 2022 across four planting densities (10,000, 5000, 2500, and 1250 trees per hectare (tph)). The results showed significant effects of planting density treatments on LIDAR- and UAS-derived canopy metrics and significant relationships between these canopy metrics and AGB. In the 10,000 tph, the field-estimated AGB in 2015 (7.00 ± 1.56 Mg ha−1) and LiDAR-derived AGB (7.19 ± 0.13 Mg ha−1) were comparable. On the other hand, the UAS-derived AGB was overestimated in the 10,000 tph planting density and underestimated in the 1250 tph compared to the 2022 field-estimated AGB. This study demonstrates that the remote sensing-derived estimates are within an acceptable level of error for biomass estimation when compared to precise field estimates, thereby showing the potential for increasing the use of accessible remote-sensing technology to estimate AGB of SRC plantations.

Thermal decomposition of Syagrus romanzoffiana palm fibers: Thermodynamic and kinetic studies using the coats-redfern method

This work uses thermogravimetric analysis to perform the thermokinetics and thermodynamic studies of Syagrus romanzoffiana fibers (SRFs). In a nitrogen environment, SRFs were heated non-isothermally between 25 and 800 °C at four heating rates of 5 °C/min, 10 °C/min, 15 °C/min, and 20 °C/min. According to thermogravimetric examination, the pyrolysis of SRFs occurred in three steps. The second stage has had its kinetic and thermodynamic characteristics determined. The low-temperature stable components were decomposed at temperatures ranging from 218 to 376 °C, 218–391 °C, 218–394 °C, and 218–398 °C at heating rates of 5 °C/min, 10 °C/min, 15 °C/min, and 20 °C/min, respectively. The Coats-Redfern method was applied to twenty-one distinct kinetic models representing four key solid-phase reaction processes. The diffusion model using the Zhuravlev equation is the best-fitted model, having the most outstanding correlation coefficient values (R2 > 0.99) for all heating rates. Heating rates of 5, 10, 15, and 20 °C/min resulted in activation energy values of 114.02, 118.77, 119.44, and 113.89 kJ/mol, respectively. Thermodynamic characteristics (ΔH, ΔG, and ΔS) were computed using kinetic parameters. The data presented here helps evaluate SRFs as a possible biomass renewable energy source for building reactors and generating chemicals.

Design of a sustainable supply chain network of biomass renewable energy in the case of disruption

Non-renewable energy sources, including fossil fuels, are a type of energy whose consumption rate far exceeds its natural production rate. Therefore, non-renewable resources will be exhausted if alternative energy is not fully developed, leading to an energy crisis in the near future. In this paper, a mathematical model has been proposed for the design of the biomass supply chain of field residues that includes several fields where residue is transferred to hubs after collecting the residue in the hub, the residue is transferred to reactors. In reactors, the residue is converted into gas, which is transferred to condenser and transformers, converted into electricity and sent to demand points through the network. In this paper, the criteria of stability and disturbance were considered, which have been less discussed in related research, and the purpose of the proposed model was to maximize the profit from the sale of energy, including the selling price minus the costs. Genetic algorithm (GA) and simulated annealing (SA) algorithm have been used to solve the model. Then, to prove the complexity of the problem, different and random examples have been presented in different dimensions of the problem. Also, the efficiency of the algorithm in small and large dimensions was proved by comparing GA and SA due to the low deviation of the solutions and the methods used have provided acceptable results suitable for all decision-makers. Also, the effectiveness of the algorithm in small and large dimensions is proven by comparing the genetic algorithm and simulated annealing, and the genetic algorithm's values are better, considering the deviation of 2.9%.and have provided solution methods suitable for all decision makers.

RENEWABLE ENERGY TECHNOLOGIES IN ENGINEERING: A REVIEW OF CURRENT DEVELOPMENTS AND FUTURE PROSPECTS

This comprehensive review examines the current state of renewable energy technologies within the field of engineering, analyzing recent developments and outlining future prospects. As the global demand for sustainable energy solutions continues to rise, understanding the advancements in renewable technologies becomes crucial for the engineering community. The review encompasses a diverse range of renewable sources, including solar, wind, hydropower, biomass, and geothermal energy. The solar energy sector has witnessed remarkable progress, with innovations in photovoltaic materials, energy storage, and efficiency enhancements. Advancements in wind energy technologies focus on improving turbine designs, optimizing energy conversion, and exploring offshore wind farms. Hydropower developments emphasize sustainable and eco-friendly dam designs, while biomass technologies explore novel methods for efficient biofuel production. Geothermal energy, often overlooked, is gaining momentum with advancements in enhanced geothermal systems and innovative drilling techniques. The review also delves into the integration of renewable energy sources into smart grids, promoting efficient energy distribution and storage. Additionally, it addresses the role of artificial intelligence and machine learning in optimizing renewable energy systems, enhancing predictability, and maximizing energy output. Furthermore, the review emphasizes the importance of policy frameworks and financial incentives in driving renewable energy adoption. The ongoing transition towards decentralized energy systems and the exploration of novel materials for energy capture and storage are highlighted as key areas for future research. The potential of emerging technologies such as perovskite solar cells and floating offshore wind farms is also discussed. This review provides a holistic overview of the current landscape of renewable energy technologies in engineering, offering valuable insights into the advancements made thus far and outlining the promising prospects for a sustainable energy future. Engineers and researchers will find this review instrumental in navigating the evolving field of renewable energy and contributing to the ongoing global efforts towards a greener and more sustainable energy landscape.
 Keywords: Renewable Energy, Energy, Climate Change, Development, Engineering, Review.

Stationarity and cycles in the energy consumption in the United States

The purpose of this paper is twofold: analyzing stationarity of energy consumption by source in the United States and studying their cycles and pairwise synchronization. We study a panel of nine time series of monthly energy consumption for the period 1973–2022. Four of the series (namely coal, natural gas, petroleum, and nuclear electric power consumption) are non-renewables, whereas the remaining ones (hydroelectric power, geothermal, biomass, solar, and wind energy consumption) are renewable energy sources. We employ a nonparametric, panel stationarity testing approach. The results indicate that most of the series may be trend-stationarity, with nuclear and geothermal energy consumption being the only exceptions. Additionally, a study on potential cycles in the series of energy consumption by source is carried out, and subsequently we analyze pairwise concordance between states of different energy sources and between states of energy sources and the business cycle. Significant correlations are detected in the latter analysis, which are positive in the case of fossil fuel sources and negative for two renewable sources, namely geothermal and biomass energy consumption.

Renewable energy technologies in engineering: A review of current developments and future prospects

This comprehensive review examines the current state of renewable energy technologies within the field of engineering, analyzing recent developments and outlining future prospects. As the global demand for sustainable energy solutions continues to rise, understanding the advancements in renewable technologies becomes crucial for the engineering community. The review encompasses a diverse range of renewable sources, including solar, wind, hydropower, biomass, and geothermal energy. The solar energy sector has witnessed remarkable progress, with innovations in photovoltaic materials, energy storage, and efficiency enhancements. Advancements in wind energy technologies focus on improving turbine designs, optimizing energy conversion, and exploring offshore wind farms. Hydropower developments emphasize sustainable and eco-friendly dam designs, while biomass technologies explore novel methods for efficient biofuel production. Geothermal energy, often overlooked, is gaining momentum with advancements in enhanced geothermal systems and innovative drilling techniques. The review also delves into the integration of renewable energy sources into smart grids, promoting efficient energy distribution and storage. Additionally, it addresses the role of artificial intelligence and machine learning in optimizing renewable energy systems, enhancing predictability, and maximizing energy output. Furthermore, the review emphasizes the importance of policy frameworks and financial incentives in driving renewable energy adoption. The ongoing transition towards decentralized energy systems and the exploration of novel materials for energy capture and storage are highlighted as key areas for future research. The potential of emerging technologies such as perovskite solar cells and floating offshore wind farms is also discussed. This review provides a holistic overview of the current landscape of renewable energy technologies in engineering, offering valuable insights into the advancements made thus far and outlining the promising prospects for a sustainable energy future. Engineers and researchers will find this review instrumental in navigating the evolving field of renewable energy and contributing to the ongoing global efforts towards a greener and more sustainable energy landscape.

Design and Development of Hybrid Microgrid Control System for Renewable Energy Generation

Renewable energy sources are widely acknowledged as the optimal substitutes for conventional energy outlets globally. Countries are endowed with diverse renewable resources, including solar, wind, biomass, hydro, and tidal energy. Despite this abundance, there exists a substantial disparity between the demand and supply of electrical energy, with numerous regions still facing insufficient access to power. The integration of various renewable energy sources in remote and isolated locations forms a Microgrid (MG), catering adequately to local energy requirements. These microgrids have the capability to function seamlessly alongside conventional grids. Hybrid MG system, incorporating Photovoltaic (PV) with battery storage and a Wind Turbine (WT), emerges as a practical solution for electrifying remote areas in islanded mode. The WT’s installed capacity is chosen to meet critical load requirements during periods of non-availability of renewable sources. The battery's capacity is selected to cover the transition period between renewable sources or as a backup source, ensuring cost-effectiveness over WTs. The application of Adaptive Particle Swarm Optimization (APSO) has demonstrated favorable outcomes compared to existing PSO algorithms, enhancing control efficiency. In a grid-connected MG system, the integration of distributed PV generation has notably improved the voltage profile, reducing overall losses. Consequently, the presented MG systems provide both technically and economically viable solutions for ensuringcontinuous electricity supply in isolated and grid-connected systems. This approach not only mitigates pollution but also allows for the possibility of capacity addition, fostering sustainable growth in these regions.

The Optimization of Steam Generation in a Biomass-Fired Micro-Cogeneration Prototype Operating on a Modified Rankine Cycle

According to the United Nations, one of the sustainable development goals is to ensure access to affordable, reliable, sustainable, and modern energy for all. Among other options, these goals can be achieved by developing and introducing micro-scale combined heat and power systems powered by renewable energy sources, including solar and biomass energy. Considering renewable energy-powered cogeneration technologies, the most promising are steam/vapor turbines, Stirling engines, and thermoelectric generators. This paper focuses on the selected operational aspects and retrofitting optimization of the prototypical micro-cogeneration system powered by a biomass-fired batch boiler and operating according to the modified Rankine cycle. The existing installation was tested, and the amount of energy transferred from the oil to the condensate and steam and the efficiency of the evaporator and the superheater were determined. A retrofitting optimization aimed at maximizing the piston engine’s power output was conducted based on the results. In particular, it was shown that the system’s power output might be as high as 9 kWe. Moreover, the analyzed system featured a high energy utilization factor of 97.9% at optimal operating conditions. In general, it was shown that the micro-scale steam Rankine system may successfully serve as an alternative technology for micro- and distributed cogeneration systems. As a technology supplied with renewable biomass energy and operating on a cheap and environmentally friendly working medium (water), it fits very well into the idea of sustainable energy system development.

Effects of CO2 and CH2 Adding on Steam Gasification of Biomass Renewable Energy for Syngas Production Considering Parametric Investigation

Effects of CO2 and CH2 Adding on Steam Gasification of Biomass Renewable Energy for Syngas Production Considering Parametric Investigation

Development of a novel power and freshwater cogeneration plant driven by hybrid geothermal and biomass energy

The reliable supply of electricity and potable water has crucial importance on achieving higher level of human welfare, where the primary energy source to provide these requirements is fossil fuels at present. Since the combustion of fossil fuels has irreparable environmental impacts, thus utilization of clean and renewable energy resources is a promising alternative to overcome the energy-related environmental issues. In this regard, present research aims at development of an effective co-generation of electricity and freshwater plant driven by hybrid geothermal and biomass renewable energy sources. To make a comprehensive system assessment, thermodynamic, exergy, environmental and economic aspects are considered and appraised in detail and multi-objective optimization is used to detect the best performance of the plant. The results indicated feasibility of hybridization of biomass and geothermal resources for efficient co-production of potable water and electricity. Under optimized operation, the plant exergetic efficiency, unit product cost, exergo-environmental index, and CO2 emission are found to be 44.12 %, 66.97 $/MWh, 0.5114 and 0.7105 kg/kWh, respectively. The second law analysis revealed that, from 18302 kW of input exergy, a value of 9357 kW is destructed within the components, where the gasifier owns the largest portion with 3569 kW.

ENERGY TRANSFORMATION AND ECONOMIC GROWTH IN INDONESIA: TO MEASURE THE IMPACT OF RENEWABLE AND NON-RENEWABLE ENERGY

The research aims to see the impact of renewable energy, if it is compared to non-renewable energy in increasing economic growth in Indonesia, over the last few decades, find out the impact of the energy transition that is designated to support sustainable economic growth, and to identify whether non-renewable energy still has a more favorable impact on growth of Indonesian economy. The research employs Indonesian secondary data from 2000 – 2022 that illustrates economic growth, biomass energy, natural gas, oil, fuel, and electricity variables. Data obtained from the publication released by Statistics Indonesia and the Ministry of Energy and Mineral Resources. Error Correction Model (ECM) is utilized as the analysis tool. The findings suggest that traditional biomass renewable energy has no impact on achieving the expected economic growth in Indonesia as a result of the minimal availability of biomass waste. Meanwhile, natural gas does not have the potential to increase economic growth due to the lack of infrastructure and management of this energy. Oil fuel contributes to reducing economic growth as a result of dwindling availability, fluctuating prices, and high subsidy costs. While electricity drives economic growth, its availability is still far from meeting people's consumption needs. Government policy needs to target the availability of this energy, especially encouraging the production of electricity sourced from available natural resources (renewable).

Nexus between energy consumption, climate risk development finance and GHG emissions

Development financing focusing on climate hazards has become necessary in recent decades as a result of the rise in emissions of greenhouse gases (GHG). This study investigates how the Congo Basin’s greenhouse gas emissions are affected by using renewable energy sources and climate risk-related development financing. Multiple conclusions are drawn from panel regression analysis. First, there’s a slight but substantial rise in GHG emissions when climate risk-related development finance increases. Second, a boost in climate risk-related mitigation finance substantially encourages the introduction of renewable energy. Third, greater utilization of renewable energy results in a diminution in GHG emissions. Finally, greater utilization of the renewable energy minimizes the influence of the climate risk-related development finance. The research recommends creating a monitoring system to guarantee the effective use of climate funding for generating renewable energy sources, including wind, biomass, geothermal, hydropower, and solar energy. Additionally, it urges donor economies and authorities to provide emerging economies with a supplementary consistent and steady flow of financing for development mitigation connected to climate risk.

Peluang Investasi dan Pengembangan Energi Biomassa: Perspektif Pemanfaatan dan Daya Saing Pengembangannya

The current achievement range for renewable energy is around 12%, making it the greatest hurdle. Investment in biomass renewable energy has positive environmental and social impacts despite its lucrative financial potential. However, there are a number of dangers associated with this investment. Therefore, investment might be successful in the development of sustainable and sustainable biomass energy if a thorough investigation and careful planning are carried out. Biomass energy has a lot of potential, but it has yet to reach its full potential because of challenges like high production costs, inconsistent biomass availability, and a lack of supporting infrastructure. Policy and regulatory support, research and innovation, management of the biomass supply chain, increased production scale, diversified biomass sources, increased awareness and education, public-private partnerships, increased efficiency, consolidation of support finance, and environmental impact management are all crucial steps toward a solution. Improvements in conversion technology, sustainable management of biomass resources, increased government assistance, and investments in supporting infrastructure are all necessary steps toward making Indonesia's biomass energy more competitive on the global stage.

Economic analysis of global microalgae biomass energy potential

With the increasing demand for renewable energy, microalgae, as a renewable biomass energy, can fix carbon dioxide and have broad application prospects in alleviating the energy crisis and improving the environment. In this paper, the potential biomass of global microalgae is calculated based on the mathematical growth model of microalgae proposed by predecessors. Based on this, this study further uses Newton's gravity model as the basic model of economic analysis and calculates the economic potential coefficient of microalgae production in various regions of the world by using the data of the world's top 20 cities in terms of urban population and urban GDP in 2020. The study has obtained the current global unused land with the high economic value of large-scale microalgae production areas, such as western North America, northern Africa, and northwest China, etc., which can provide guidance for the future site selection and development of microalgae biomass energy.

Techno-economic investigation of a hybrid biomass renewable energy system to achieve the goals of SDG-17 in deprived areas of Iran

Improving the quality of life in deprived areas is one of the main programs of the United Nations, highlighting the significance of a clean and reliable power supply for sustainable development. This study focuses on the configuration of hybrid renewable energy systems (HRES) in Iran's northern and southern rural areas, utilizing a combination of wind turbines, storage banks, photovoltaic panels, biogas, and diesel generators. These regions possess animal- and agriculture-based biomass resources that can effectively meet their primary residential energy needs. This study highlights the importance of employing multi-criteria decision-making (MCDM) for selecting suitable hybrid renewable energy systems (HRES) in rural areas. By incorporating a novel objective weighting process based on the SDG-17 framework, the study considers a range of criteria, including economic, environmental, energy security, and technical factors. Furthermore, the validation of HOMER's accuracy in sizing renewable energy systems with particle swarm optimization (PSO) has demonstrated the significant capability of the primary model. The results demonstrate that relying solely on economically optimal scenarios may not align with CO2 emissions, energy efficiency, and reliability goals. Utilizing the HOMER-MCDM method, the study achieves a more optimal combination of energy systems, considering multiple aspects of sustainable development beyond economic efficiency. For the climates of northern and southern rural regions of Iran, the study identifies the PV/WT/Bio/battery system as the best solution, with levelized costs of electricity (COE) of 0.251 and 0.219 $/kWh, respectively. This configuration relies entirely on local resources, emits nearly zero emissions, and provides power to the communities. Additionally, a sensitivity analysis assesses the impact of changes in capital costs of power generation components and the potential of renewable resources. Adjusting the investment costs of PV and WT systems between 0.7 and 1.3 times their original values results in a COE range of 0.198 to 0.233 $/kWh, representing a decrease of 9.2% and an increase of 6.9% compared to the initial operation, respectively.

Introducing a new variety of interspecific Acacia hybrid (Acacia mangium × A. auriculiformis) for renewable biomass energy

An interspecific Acacia hybrid between Acacia mangium and A. auriculiformis has various phenotypic characteristics. The hybrid progenies usually show better growth which is important to support wood-based industry. However, information on other potential uses of the species for renewable biomass energy was still limited. This study aims to observe the potency of Acacia hybrid as raw material for renewable bioenergy. The study was done in three permanent plots in clonal trial of Acacia hybrid established in Central Java following the method of SNI 7724-2011. The tree morphologies were characterized including stem form, branching, and crown-shape characteristic. Wood biomass and energy potential of the species was observed and derived from the growth and wood basic density. The result showed that there was various tree morphology in terms of leaf and stem form within the Acacia hybrid trees. At six years of age, the average of wood biomass was 37.85 Mg.ha−1 derived from the average of 13.9 m (height), 16.5 cm (DBH), and 567 kg.m−3 (wood basic density). While the estimated energy potential ranged from 14.50 to 21.99 toe.ha−1. The results of the study indicate that wood from the Acacia hybrid would be the potential resources for renewable biomass energy.

Pivotal factors of wood-derived electrode for supercapacitor: Component striping, specific surface area and functional group at surface

Wood has been identified as a renewable and biodegradable biomass energy in the domain of electrochemical energy storage material. Nevertheless, since wood owns an anisotropic hierarchical multi-scale structure and is formed by embedding several components into each other in terms of chemical composition, effectively component stripping and anchoring its specific electrochemical mechanism at the molecular level for corresponding chemical modification and structural regulation is a necessary means to achieve efficient application of wood in energy storage. Therefore, six wood (Balsa, P. sylvestris var. mongolica, Basswood, Maple, Sapele and Fraxinus mandshurica)-derived carbon electrode materials with hierarchical porous structure are designed for supercapacitor. The capacitance behavior is systematically studied in allusion to the correlation of composition, structure and properties of wood-derived porous carbon. The effective molecule stripping of lignin, specific surface area and the surface functional group C–O bond promote the capacitance improvement. And the wood-derived electrode capacitance contribution is mainly controlled by the surface and less by the diffusion. In addition, the Balsa-derived electrode possesses the highest specific capacity of 252.1 F g−1. All the wood-derived electrodes show attractive cycling performance (more than 85% capacity retention after10,000 cycles). This study analyzed the mechanism of effective molecular stripping, rational regulation of micropores and directional design of surface functional groups on the electrochemical properties. This also provides technical support for high-capacitance composite wood-derived material.

Integrated economic and environmental modeling of forest biomass for renewable energy in California: Part I - Model development

Forests are a major natural resource of the state of California, where over a third of the land is forested, and provide a wide range of environmental, economic, and social benefits. Over the past decade, unprecedented drought, insect outbreaks and wildfires have resulted in large-scale tree mortality that greatly affects the forest ecosystem and poses significant threat to human health and welfare and to the environment. Forest thinning and management is considered imperative to improve forest health and resilience. Forest resources including dead and dying trees as well as the residues produced from forest thinning and timber harvesting operations could potentially be used to a greater degree than at present to generate electricity and other renewable energy to meet the increasing demand for more sustainable supplies and mitigate the risk of wildfires. However, efforts to construct new electricity generation capacity in the state at any scale over the last several decades have faced both economic and environmental challenges. As needs for alternative management approaches have become clear, opportunities have emerged for new bioenergy projects. These projects need to be effectively planned and potential economic and environmental performance carefully evaluated. Toward this purpose, an integrated framework model for lifecycle and technoeconomic assessment was developed to quantify environmental and economic impacts, initially for generating electricity using forest resources and with associated web services developed for an online application (forestdss.ucdavis.edu) that allows potential users to quickly estimate the economic and environmental performance of a potential facility at specified locations.