Application of TIMES for Bioresource Flow Optimization—Case Study of Animal Husbandry in Latvia, Europe

IF 4.6 Q2 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Recycling Pub Date : 2023-09-12 DOI:10.3390/recycling8050070
Ketija Bumbiere, Maksims Feofilovs, Pauls Asaris, Dagnija Blumberga
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引用次数: 0

Abstract

As an integral part of the EU’s Green Deal, the purpose of the bioeconomy is to ensure an effective transition to meet people’s needs based on renewable resources while maintaining economic growth. This study undertakes the modeling of bioresource value scenarios in the agricultural sector and proposes a methodology to evaluate the possibilities of reaching a higher added value of bioresource products. The main objective of the study is the adaptation of the market allocation–energy flow optimization model system (TIMES) for analysis of high-value-added product production capacities in the livestock sector to reach an increase in added value for 2030 with the introduction of new technologies. The developed model is tested in a case study of the animal husbandry sector in Latvia. The results show which pathways are economically feasible to achieve value-added targets set for 2030. Although not all of the available resources are used due to local market limitations, there is significant potential for the use of animal husbandry resource waste, and it is possible to achieve about 62% higher cumulative added value from 2023 to 2030 with the production of new products (protein powder, wool pellets, and gelatin) in comparison with the base scenario.
TIMES在生物资源流动优化中的应用——以欧洲拉脱维亚畜牧业为例
作为欧盟绿色协议的组成部分,生物经济的目的是确保在保持经济增长的同时,有效地过渡到满足人们基于可再生资源的需求。本研究对农业部门的生物资源价值情景进行建模,并提出一种方法来评估生物资源产品达到更高附加值的可能性。本研究的主要目标是将市场分配-能量流优化模型系统(TIMES)应用于畜牧业高附加值产品生产能力的分析,以通过引入新技术实现2030年的附加值增长。开发的模型在拉脱维亚畜牧业部门的案例研究中得到检验。结果显示了实现2030年增值目标的经济可行途径。尽管由于当地市场的限制,并非所有可用资源都得到了利用,但畜牧业资源废弃物的利用潜力巨大,与基本情景相比,从2023年到2030年,通过生产新产品(蛋白粉、羊毛颗粒和明胶),有可能实现约62%的累计增加值提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Recycling
Recycling Environmental Science-Management, Monitoring, Policy and Law
CiteScore
6.80
自引率
7.00%
发文量
84
审稿时长
11 weeks
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