Carbon Credits Required to Make Manure Biogas Plants Economic

Ghafoori, Emad; Flynn, Peter C.; Checkel, M. David

doi:10.1080/15435070701332187

Cited by 16 publications

(15 citation statements)

References 9 publications

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“…This resulted in total daily manure amount of 1447 kg from 100 cows, each assumed to weigh about 181 kg. This volume of manure yielded 1.42 m 3 of biogas per day [53,54], which is consistent with previous estimates for the study area [21]. Biogas digester installation costs (including mix tank, digester, building, and engineering costs) for the representative dairy farm size considered was $148,882 [21].…”

Section: Homer Calibration and Optimizationsupporting

confidence: 52%

“…In general, a high gasification ratio increases biogas and, ultimately, electricity production. In addition, a 37% electrical efficiency of the biogas generator was assumed [27,54], while the biogas produced from anaerobic digestion was assumed to contain 60% methane [53]. A higher methane percentage implies higher energy production potential from the biogas.…”

Section: Homer Calibration and Optimizationmentioning

confidence: 99%

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Cost-benefit analysis of grid-connected wind–biogas hybrid energy production, by turbine capacity and site

2015

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a b s t r a c tThe impacts of a recently launched community feed-in tariff (COMFIT) scheme on renewable energy production, with energy prices differentiated by renewable energy technology type, have not been adequately understood. The knowledge gap is addressed by applying the Hybrid Optimization Model for Electric Renewables (HOMER) decision tool to investigate the economic feasibility and effects of selected energy policy schemes on windebiogas hybrid energy production, by taking into consideration geographic location (Greenwood, Sydney, Caribou Point), and wind turbine capacity (including 20, 35, and 50 kW). The biogas energy production component reflected a representative Nova Scotia, Canada dairy farm with 100 cows. Windebiogas hybrid energy systems were generally not economically feasible without COMFIT scheme financial incentives. Locating the hybrid energy system one km away from a utility grid increased cost of energy produced by about $0.06 per kWh. Under current government COMFIT scheme with guaranteed energy prices, economic feasibility improved relative to a base scenario, with NPV per kWh increasing from -$0.51 to $0.83 for a system with the 50 kW turbine at Caribou Point, compared with -$0.51 to -$0.14 for a similar 50 kW turbine at Sydney. Windebiogas power production was economically viable under COMFIT scheme prices only for Caribou Point.

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Section: Homer Calibration and Optimizationsupporting

confidence: 52%

Section: Homer Calibration and Optimizationmentioning

confidence: 99%

Cost-benefit analysis of grid-connected wind–biogas hybrid energy production, by turbine capacity and site

2015

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“…Moreover, there are many system parameters and factors (such as coal property, transportation, power generation demand, CO 2 storage capacity, facilities expansions), which may appear dynamic and uncertain, that can be presented as intervals, possibilistic and probabilistic distributions, and fuzzy sets (Huang, Baetz, and Patry 1993;Yeomans, Huang, and Yoogalingam 2003;Cai et al 2009b;). Such uncertainties might be further complicated by the operations and interactions of multiple energy sectors and processes, and the associated economic and environmental implications (Ghafoori, Flynn, and Checkel 2007;Shrestha and Rajbhandari 2010;Dong et al 2011). This leads to a variety of complexities in relevant decision-making processes.…”

Section: Introductionmentioning

confidence: 98%

An Inexact Dynamic Optimization Model for CO₂Emission Reduction in Subei Region, Northeast China

Liu

Huang

Cai

et al. 2014

International Journal of Green Energy

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In this study, an inexact mixed-integer fuzzy robust linear programming model for coupled management of coal and power with consideration of CO 2 emissions mitigation system planning (IMIFLP-CCPM) was developed under uncertainty. This model could reach into the closed relationship and interactive characteristics of China's coal production, electric power generation, and CO 2 emissions in coupled coal and power management system and thus explore the applicability of the decarburization facilities and mechanism incorporated in the system through scenario analysis. Based on the integration of interval linear programming, fuzzy robust linear programming, and mixed-integer linear programming, the IMIFLP-CCPM could effectively incorporate and handle uncertainties presented in terms of interval values and fuzzy sets. Also, dynamic analysis of capacity expansion, facility improvement, and inventory planning within a multi-period and multi-option context could be facilitated in this model. The developed IMIFLP-CCPM was applied to a long-term coupled coal and power management with CO 2 reduction systems in Subei region, Northeast China. One base scenario and four CO 2 reduction scenarios were presented and analyzed to examine the optimal coal-flow allocation patterns and carbon mitigation schemes for the studied system when forced to comply with a given CO 2 emission limit. The results indicated that the IMIFLP-CCPM model could provide in-depth analysis of tradeoffs between system costs, energy security, and CO 2 emission reduction, thus helping investigate interactive relationships among multiple economical, environmental, and energy structural targets within the study system. Moreover, the attempt of planning coupled coal and power management with CO 2 mitigation under uncertainty would provide an effective reference to cope with the dilemma of energy development and CO 2 mitigation under the climate change situation in China.

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“…In their absence, many AD installations in the United States and Canada do not produce power because the economics dictates against it. 19 Further, small animal farms across the developing world are responsible for substantial methane emissions. These farmers could afford AD technologies if they were able to access carbon markets that would make such investments worthwhile.…”

Section: Anaerobic Digestionmentioning

confidence: 99%

Bioenergy Research Needs for Heat, Electricity, and Liquid Fuels

Farrell

Gopal

2008

MRS Bull.

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Biomass remains a key energy source for several billion people living in developing countries, and the production of liquid biofuels for transportation is growing rapidly. However, both traditional biomass energy and crop-based biofuels technologies have negative environmental and social impacts. The overall research challenge for bioenergy is to develop the technologies to produce useful products at low costs while minimizing the use of scarce resources such as arable land and water. This requires substantial advancements in modern biomass power generation and the success of liquid biofuel technologies that permit the use of lignocellulosic feedstocks or possibly algae. With such technologies, biomass resources could meet a significant fraction (over 10%) of global energy demand. Both improved policies and technologies are needed to ensure that bioenergy contributes significantly to economic, social, and environmental goals.

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Carbon Credits Required to Make Manure Biogas Plants Economic

Cited by 16 publications

References 9 publications

Cost-benefit analysis of grid-connected wind–biogas hybrid energy production, by turbine capacity and site

Cost-benefit analysis of grid-connected wind–biogas hybrid energy production, by turbine capacity and site

An Inexact Dynamic Optimization Model for CO₂Emission Reduction in Subei Region, Northeast China

Bioenergy Research Needs for Heat, Electricity, and Liquid Fuels

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Carbon Credits Required to Make Manure Biogas Plants Economic

Cited by 16 publications

References 9 publications

Cost-benefit analysis of grid-connected wind–biogas hybrid energy production, by turbine capacity and site

Cost-benefit analysis of grid-connected wind–biogas hybrid energy production, by turbine capacity and site

An Inexact Dynamic Optimization Model for CO2Emission Reduction in Subei Region, Northeast China

Bioenergy Research Needs for Heat, Electricity, and Liquid Fuels

Contact Info

Product

Resources

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An Inexact Dynamic Optimization Model for CO₂Emission Reduction in Subei Region, Northeast China