INFEWS: U.S.-China: An Integrated Technology-Environment-Economic Modeling Platform for FEW Systems in Arid Regions

INFEWS：中美：干旱地区 FEW 系统的综合技术-环境-经济建模平台

• 批准号: 1804453
• 负责人: Ximing Cai
• 金额: $ 50万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1804453&HistoricalAwards=false
• 关键词: INFEWS; U.S.; China; Integrated; Technology

The Food-Energy-Water (FEW) Nexus, from a global perspective, contains closely interconnected resource systems of food, energy, and water. As the world's population expands to an expected 9 billion by 2050, there will be an urgent demand to balance different resources across these three systems to achieve different user goals without putting undue strain on the ecosystems that provide these resources. This research project will utilize both wet waste conversion and renewable energy sources, such as wind and solar, to produce electricity for harvesting and filtering saline water for crop irrigation and algae production in soils not normally used for such purposes. The goal of the project is to create a new modeling platform that ingrates technology, environment, and economics using research inputs from two different teams in this collaboration - one from the University of Illinois at Urban-Champaign (UIUC) and one from the China Agricultural University (CAU). This new platform could potentially be used to identify options for harnessing underutilized resources and renewable energy to produce food, particularly in arid region FEW systems (AR-FEWS). The PIs plan to test the hypothesis that harvesting non-conventional sources of water for high-value crop irrigation will be cost effective and environmentally feasible in arid regions with access to renewable energy sources. If successful, this research could strengthen FEW systems in the US and other countries in under-used arid regions by identifying economically and environmentally viable technologies to produce food and energy while conserving water resources.Using research inputs from the U.S. and China teams, this project will develop a seamless system modeling tool that integrates technological, environmental, and economic components to conduct holistic quantitative analysis of AR-FEWS. A particular focus will be put on arid regions with marginal land and water and plentiful renewable energy sources where the synergies in resources production and use can be enhanced. The PIs will define key parameters of the integrated system to develop process-based models, including optimization for hydrothermal liquefaction (HTL) conversion of wet biowaste and algae, wastewater treatment methods needed for algal biomass and hydroponic food production, and characteristics of food produced hydroponically with wastewater. The process models will be integrated with environmental and economic analyses at the regional scale to identify technological solutions and policy options for harnessing the potential of marginal resources and renewable energy to produce food in arid regions. The integrated modeling tool will be tested in arid areas in Northwestern China. This project will be aligned with an ongoing NSF-funded INFEWS project (INFEWS #1739788, Advancing FEW System Resilience in the Corn Belt by Integrated Technology-Environment-Economics Modeling of Nutrient Cycling) to develop a generic modeling tool that will be used to identify robust optimal solutions for sustainable and resilient FEW systems and assess the feasibility of technology adoption at regional scales.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

从全球角度来看，粮食-能源-水（FEW）关系包含了粮食、能源和水的密切相互关联的资源系统。随着世界人口到2050年预计将增至90亿，迫切需要平衡这三个系统的不同资源，以实现不同的用户目标，同时又不对提供这些资源的生态系统造成过度压力。该研究项目将利用湿废物转化和可再生能源，如风能和太阳能，生产电力，用于收集和过滤咸水，用于作物灌溉和通常不用于此类目的的土壤中的藻类生产。该项目的目标是创建一个新的建模平台，该平台利用来自两个不同团队的研究投入来整合技术，环境和经济学-一个来自伊利诺伊大学香槟分校（UIUC），另一个来自中国农业大学（CAU）。这一新平台有可能用于确定利用未充分利用的资源和可再生能源生产粮食的备选方案，特别是在干旱地区的FEWS系统中。项目执行人计划检验一种假设，即在可获得可再生能源的干旱地区，收集非传统水源用于高价值作物灌溉将具有成本效益和环境可行性。如果成功，这项研究可以通过确定经济和环境上可行的技术来生产粮食和能源，同时保护水资源，从而加强美国和其他国家未充分利用的干旱地区的FEW系统。利用美国和中国团队的研究投入，该项目将开发一个无缝的系统建模工具，将技术，环境，和经济组成部分进行全面的定量分析AR-FEWS。将特别注重土地和水资源稀少、可再生能源丰富的干旱地区，在这些地区，可以加强资源生产和使用的协同作用。 PI将定义集成系统的关键参数，以开发基于过程的模型，包括湿生物废物和藻类的水热液化（HTL）转化的优化，藻类生物质和水培食品生产所需的废水处理方法，以及用废水水培生产的食品的特性。这些过程模型将与区域范围的环境和经济分析相结合，以确定利用边际资源和可再生能源的潜力在干旱地区生产粮食的技术解决办法和政策选择。该集成建模工具将在中国西北干旱地区进行测试。该项目将与国家科学基金会资助的正在进行的INFEWS项目保持一致（INFEWS #1739788，通过养分循环的综合技术-环境-经济学模型提高玉米带FEW系统的恢复力开发一种通用建模工具，用于为可持续和有弹性的FEW系统确定稳健的最佳解决方案，并评估区域范围内技术采用的可行性。该奖项反映了NSF的基金会的使命是履行其法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Microalgal photosynthetic inhibition and mixotrophic growth in Post Hydrothermal Liquefaction Wastewater (PHW)

• DOI: 10.1016/j.algal.2021.102548
• 发表时间: 2021-12
• 期刊: Algal Research
• 作者: M. Stablein;Douglas H. Baracho;Jamison Watson;Jaqueline C. Silva;Yuanhui Zhang;A. T. Lombardi

Development of a mobile, pilot scale hydrothermal liquefaction reactor: Food waste conversion product analysis and techno-economic assessment

• DOI: 10.1016/j.ecmx.2021.100076
• 发表时间: 2021-03-31
• 期刊: ENERGY CONVERSION AND MANAGEMENT-X
• 影响因子: 6.3
• 作者: Aierzhati, Aersi;Watson, Jamison;Zhang, Yuanhui
• 通讯作者: Zhang, Yuanhui

Towards transportation fuel production from food waste: Potential of biocrude oil distillates for gasoline, diesel, and jet fuel

• DOI: 10.1016/j.fuel.2021.121028
• 发表时间: 2021-10
• 期刊: Fuel
• 影响因子: 7.4
• 作者: Jamison Watson;Buchun Si;Zixin Wang;Tengfei Wang;Amanda Valentine;Yuanhui Zhang

Diesel blends produced via emulsification of hydrothermal liquefaction biocrude from food waste

• DOI: 10.1016/j.fuel.2022.124817
• 发表时间: 2022-06-10
• 期刊: FUEL
• 影响因子: 7.4
• 作者: Summers, Sabrina;Yang, Siyu;Zhang, Yuanhui
• 通讯作者: Zhang, Yuanhui

Pilot-Scale Continuous Plug-Flow Hydrothermal Liquefaction of Food Waste for Biocrude Production

• DOI: 10.1021/acs.iecr.3c01587
• 发表时间: 2023-07
• 期刊: Industrial & Engineering Chemistry Research
• 作者: Sabrina Summers;Amanda Valentine;Zixin Wang;Yuanhui Zhang