Pub Date : 2024-05-02DOI: 10.1007/s12155-024-10764-1
HakSoo Ha, Tristan R. Brown, Ryan J. Quinn, Timothy A. Volk, Robert W. Malmsheimer, Marie-Odile P. Fortier, Steven Bick, Jenny R. Frank
This study reports results from a stochastic techno-economic analysis (TEA) model that assessed the financial feasibility of forest biomass harvest for low-carbon bioenergy feedstocks in the hardwood region of the Northeast United States. It analyzed three 24-year scenarios based on primary data collected from the mixed product harvest with whole tree harvesting systems that primarily produce clean chips, dirty chips, or pulpwood and dirty chips. Using a joint product costing approach, proportional costs of shared processes were allocated to different products on a mass basis. Uncertainty associated with key stochastic variables was incorporated into the model to generate net present values (NPV), benefit–cost ratios (BCR), and minimum selling prices (MSP) via Monte Carlo simulation. The clean chip scenario produced an NPV of $1.36 million and a BCR of 1.03, while the pulpwood scenario’s NPV and BCR ($0.06 million and 1.02) were lower, and the dirty chip scenario generated negative NPV (− $0.02 million) and a BCR of 0.99. The probabilities of achieving positive NPVs for all three scenarios fell between 47 and 56%. The mean MSP for one clean chip scenario was $94.03/dry Mg, while the mean MSPs for two dirty chip scenarios were $74.79/dry Mg and $75.93/dry Mg. NPV results were most sensitive to forest biomass feedstock harvesting production levels, transportation distances, and delivered prices, followed by diesel fuel consumption for in-wood harvest and diesel fuel price.
{"title":"A Stochastic Techno-Economic Analysis of Forest Biomass Feedstock Supply Chains: Clean and Dirty Chips for Bioenergy Applications","authors":"HakSoo Ha, Tristan R. Brown, Ryan J. Quinn, Timothy A. Volk, Robert W. Malmsheimer, Marie-Odile P. Fortier, Steven Bick, Jenny R. Frank","doi":"10.1007/s12155-024-10764-1","DOIUrl":"https://doi.org/10.1007/s12155-024-10764-1","url":null,"abstract":"<p>This study reports results from a stochastic techno-economic analysis (TEA) model that assessed the financial feasibility of forest biomass harvest for low-carbon bioenergy feedstocks in the hardwood region of the Northeast United States. It analyzed three 24-year scenarios based on primary data collected from the mixed product harvest with whole tree harvesting systems that primarily produce clean chips, dirty chips, or pulpwood and dirty chips. Using a joint product costing approach, proportional costs of shared processes were allocated to different products on a mass basis. Uncertainty associated with key stochastic variables was incorporated into the model to generate net present values (NPV), benefit–cost ratios (BCR), and minimum selling prices (MSP) via Monte Carlo simulation. The clean chip scenario produced an NPV of $1.36 million and a BCR of 1.03, while the pulpwood scenario’s NPV and BCR ($0.06 million and 1.02) were lower, and the dirty chip scenario generated negative NPV (− $0.02 million) and a BCR of 0.99. The probabilities of achieving positive NPVs for all three scenarios fell between 47 and 56%. The mean MSP for one clean chip scenario was $94.03/dry Mg, while the mean MSPs for two dirty chip scenarios were $74.79/dry Mg and $75.93/dry Mg. NPV results were most sensitive to forest biomass feedstock harvesting production levels, transportation distances, and delivered prices, followed by diesel fuel consumption for in-wood harvest and diesel fuel price.</p>","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140883210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-25DOI: 10.1007/s12155-024-10756-1
Y. Elkasabi, Charles A. Mullen, G. Strahan
{"title":"Solvent-Mediated Extraction of Phenolics from Mid-level Oxygen Content Pyrolysis Oils","authors":"Y. Elkasabi, Charles A. Mullen, G. Strahan","doi":"10.1007/s12155-024-10756-1","DOIUrl":"https://doi.org/10.1007/s12155-024-10756-1","url":null,"abstract":"","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140655990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comprehensive Evaluation of Biofuels from the Fermentation of Poplar Wood and the Gasification of Fermentation Residue","authors":"Wei Wang, Zhaoping Zhong, Xiaoming Bao, Xiaotian Pan, Xiang Zheng, Yuxuan Yang, Zhaocheng Shen","doi":"10.1007/s12155-024-10760-5","DOIUrl":"https://doi.org/10.1007/s12155-024-10760-5","url":null,"abstract":"","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140664111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-23DOI: 10.1007/s12155-024-10761-4
S. Pereira-Crespo, Noemi Gesteiro, A. López-Malvar, Leonardo Gómez, Rogelio Santiago
{"title":"Assessing the Application of Near-Infrared Spectroscopy to Determine Saccharification Efficiency of Corn Biomass","authors":"S. Pereira-Crespo, Noemi Gesteiro, A. López-Malvar, Leonardo Gómez, Rogelio Santiago","doi":"10.1007/s12155-024-10761-4","DOIUrl":"https://doi.org/10.1007/s12155-024-10761-4","url":null,"abstract":"","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140669416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-22DOI: 10.1007/s12155-024-10749-0
Fernanda Dias De Ávila, B. Okeke, Josiane Pinheiro Farias, Marcela da Silva Afonso, Márcio Santos Silva, F. A. de Oliveira Camargo, F. Bento, S. Pieniz, R. Andreazza
{"title":"Bio-Oil Production from Fish Processing Waste Residues Using Oleaginous Rhodotorula sp. R1 After Conventional Oil Extraction","authors":"Fernanda Dias De Ávila, B. Okeke, Josiane Pinheiro Farias, Marcela da Silva Afonso, Márcio Santos Silva, F. A. de Oliveira Camargo, F. Bento, S. Pieniz, R. Andreazza","doi":"10.1007/s12155-024-10749-0","DOIUrl":"https://doi.org/10.1007/s12155-024-10749-0","url":null,"abstract":"","PeriodicalId":487,"journal":{"name":"BioEnergy Research","volume":null,"pages":null},"PeriodicalIF":3.6,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140675608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Considering the difficulty of digesting coffee husk (CH) and water hyacinth (WH) due to the lignin content, the present study investigated the influence of feedstock mixing ratios on the co-digestion performance of CH and WH with food waste (FW) at 38 ± 1 °C and its kinetics. Food waste was considered as co-substrate due to its ease of digestion. Batch experiments were conducted using CH/WH/FW ratios (100:0:0, 0:100:0, 35:35:30, 30:30:40, 25:25:50, 20:20:60, and 0:0:100 w/w) with total solids (TS) content of about 9.5% (w/v). The results indicated that the addition of FW significantly enhanced WH and CH digestion performance, with the maximum biogas yield of 572.60 (pm) 2.30 mL/gVS, best synergistic effect of 1.5, highest biodegradability of 89.22%, and a biodegradation rate of 57.82% obtained at a mix ratio of 25:25:50, which was improved by 179.71% compared to CH mono-digestion. In addition, the organic conversion efficiency of TS and volatile solids reached 69.86 and 81.48%, respectively. Conversely, CH mono-digestion yielded the lowest biogas yield of 204.71 ± 10.74 mL/g VS, highlighting its unfeasibility. The modified logistic equation showed the best fit to the experimental data. The optimum CH/WH/FW ratio of 25:25:50 demonstrated the highest biogas yield and methane content at 66.30 ± 0.76%.