Bioprocess Innovator Relies on Process Modeling to Optimize Algae-to-Biofuel Conversion
公司规模
11-200
地区
- Pacific
国家
- Australia
产品
- aspenONE Engineering Desktop
- Aspen Plus
- Aspen Process Economic Analyzer
技术栈
- Process Modeling
- Techno-economic Analysis
实施规模
- Pilot projects
影响指标
- Environmental Impact Reduction
- Innovation Output
技术
- 分析与建模 - 预测分析
- 分析与建模 - 过程分析
适用行业
- 可再生能源
适用功能
- 产品研发
用例
- 质量预测分析
- 过程控制与优化
服务
- 软件设计与工程服务
关于客户
Pan Pacific Technologies is a specialized engineering consultancy based in Adelaide, Australia that focuses on new sustainable energy solutions. They have developed proprietary concepts and intellectual property for the commercialization of capturing and converting carbon to biofuels and other products using algae. The company recently joined the National Alliance for Advanced Biofuels and Bioproducts (NAABB), a consortium which is investigating innovations in processes using algae for the production of biofuels under a major U.S. Department of Energy research grant.
挑战
Pan Pacific Technologies, a small company with powerful thought leadership in the area of algae to biofuels conversion, was seeking a rigorous approach to validate the technical and economic feasibility of its proprietary algal conversion concepts. A key challenge was to find a modeling environment that would provide an effective way to capture and communicate their proprietary ideas to researchers worldwide. They needed to simulate a complex biological system that was previously difficult to model, improve understanding of process constraints and scale-up, and complete techno-economic analysis.
解决方案
Pan Pacific Technologies put their algae process knowledge, which previously had been modeled in Microsoft Excel, into an Aspen Plus model. They experienced a breakthrough by predicting key limiting factors, allowing them to create a placeholder for otherwise unavailable algae property data. Through innovative use of aspenONE solutions, Pan Pacific Technologies was able to successfully produce an Aspen Plus model with results matching laboratory and industry data. With this baseline case, they further used the model, the energy balance, and the link to AspenTech’s estimating system to understand scale-up constraints and the key economics of the process.
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