Facing economic challenges due to the diverse objectives of businesses, and consumers, commercial greenhouses strive to minimize energy costs while addressing CO2 emissions. This scenario is intensified by rising energy costs and the global imperative to curtail CO2 emissions. To address these dynamic economic challenges, this paper proposes an architectural design for an energy economic dispatch testbed for commercial greenhouses. Utilizing the Attribute-Driven De-sign method, core architectural components of a software-in-the-loop testbed are proposed which emphasizes modularity and careful consideration of the multi-objective optimization problem. This approach extends prior research by implementing a modular multi-objective optimization framework in Java. The results demonstrate the successful integration of the CO2 reduction objective within the modular architecture with minimal effort. The multi-objective optimization output can also be employed to examine cost and CO2 objectives, ultimately serving as a valuable decision-support tool. The novel testbed architecture and a modular approach can tackle the multi-objective optimization problem and enable commercial greenhouses to navigate the intricate landscape of energy cost and CO2 emissions management.

翻译：面对企业和消费者的多样化目标带来的经济挑战，商业温室在应对CO2排放的同时，力求最小化能源成本。能源成本上升及全球减排CO2的迫切需求进一步加剧了这一局面。为应对这些动态经济挑战，本文提出了一种用于商业温室能源经济调度试验台的架构设计。采用属性驱动设计方法，提出了一个软件在环试验台的核心架构组件，该设计强调模块化，并审慎考虑了多目标优化问题。该方法通过实现基于Java的模块化多目标优化框架，对先前研究进行了拓展。结果表明，CO2减排目标能够在模块化架构中以最小工作量成功集成。多目标优化输出还可用于分析成本与CO2目标，最终作为有价值的决策支持工具。这种新颖的试验台架构及模块化方法可有效解决多目标优化问题，助力商业温室在能源成本与CO2排放管理的复杂环境中游刃有余。