SBIR Phase II: Estimating, Learning, and Optimizing Real-Time Grid Emissions

这个小企业创新研究（SBIR）第二阶段项目的更广泛的影响/商业潜力是促进能源可持续性，特别是在实时电网碳排放的估计、理解和优化方面。使电网脱碳意味着通过减少每单位发电量的排放量来减少其碳排放。深入、准确的实时电网排放知识将促进各种电网脱碳用例和应用，从企业碳会计、碳意识能源管理、新的排放跟踪标准到未来电力和碳市场设计。更广泛地说，拟议中的平台可能会证明，通过成本和碳的共同优化来实现接近最优的碳减排是可能的，并为政策制定者、监管机构和企业提供了一条商业上可行的、可扩展的途径，以实现其雄心勃勃的可持续发展承诺。这个小企业创新研究（SBIR）第二阶段项目旨在开发新的实用方法来估计、学习和优化实时电网排放。二期项目将优化碳估算和预测模型，开发决策算法，将提出的方法作为软件实施，并通过试点对软件平台进行验证。该团队将寻求建立一个用户友好的、基于云的软件平台，该平台具有多种应用程序，将使气候监管机构和可持续发展主管能够履行其公开承诺并遵守新法规。将实时碳排放与能源和可持续性管理相结合是一项重大挑战。人们对电网的实时碳信号知之甚少，拟议的项目旨在揭开电网排放的神秘面纱，实现准确、可操作、透明的碳跟踪、报告和管理。该奖项反映了美国国家科学基金会的法定使命，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。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is to advance energy sustainability, especially regarding estimation, understanding, and optimization of real-time grid carbon emissions. Decarbonizing the grid means reducing its carbon emissions by decreasing the emissions per unit of electricity generated. In-depth, accurate knowledge of real-time grid emissions will facilitate various grid decarbonization use cases and applications ranging from corporate carbon accounting, carbon-aware energy management, and new emission tracking standards to future electricity and carbon market design. More broadly, the prposed platform may demonstrate that achieving near-optimal carbon emissions reductions via co-optimization for costs and carbon is possible and provide a commercially viable, scalable path for policy makers, regulators, and corporations to meet their ambitious sustainability commitments.This Small Business Innovation Research (SBIR) Phase II project seeks to develop novel and practical approaches to estimate, learn, and optimize real-time grid emissions. The Phase II project will optimize carbon estimation and forecast models, develop decision-making algorithms, implement the proposed methods as software, and validate the software platform through pilots. The team seeks to will build a user-friendly, cloud-based software platform with multiple applications that will enable climate regulators and sustainability directors to meet their public commitments and stay compliant with new regulations. Integrating real-time carbon emissions with energy and sustainability management is a critical challenge. Little is known about real-time carbon signals from the grid and the proposed project aims to demystify grid emissions to enable accurate, actionable, and transparent carbon tracking, reporting, and management.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.