Dataset For: A Guide to Residential Energy Storage and Rooftop Solar: State Net Metering Policies and Utility Rate Tariff Structures

Federal and state decarbonization goals have led to numerous financial incentives and policies designed to increase access and adoption of renewable energy systems. In combination with the declining cost of both solar photovoltaic and battery energy storage systems and rising electric utility rates, residential renewable adoption has become more favorable than ever. However, not all states provide the same opportunity for cost recovery, and the complicated and changing policy and utility landscape can make it difficult for households to make an informed decision on whether to install a renewable system. This paper is intended to provide a guide to households considering renewable adoption by introducing relevant factors that influence renewable system performance and payback, summarized in a state lookup table for quick reference. Five states are chosen as case studies to perform economic optimizations based on net metering policy, utility rate structure, and average electric utility price; these states are selected to be representative of the possible combinations of factors to aid in the decision-making process for customers in all states. The results of this analysis highlight the dual importance of both state support for renewables and price signals, as the benefits of residential renewable systems are best realized in states with net metering policies facing the challenge of above-average electric utility rates.This dataset is intended to allow readers to reproduce and customize the analysis performed in this work to their benefit. Suggested modifications include: location, household load profile, rate tariff structure, and renewable energy system design.

联邦及各州脱碳目标的实施，催生了众多旨在提升可再生能源系统获取和普及的财政激励政策。结合太阳能光伏和电池储能系统成本的持续下降以及电费率的上升，居民对可再生能源的采用已变得前所未有的有利可图。然而，并非所有州都提供相同的机会以实现成本回收，且复杂多变的政策和公用事业格局可能会使家庭在是否安装可再生能源系统的问题上难以作出明智的决策。本文旨在为考虑采用可再生能源的家庭提供指导，通过介绍影响可再生能源系统性能和回报的相关因素，并总结成州级查询表格以供快速参考。选取五个州作为案例研究，基于净计量政策、公用事业电费结构以及平均电费率进行经济优化；这些州的选择旨在代表可能的因素组合，以协助所有州的消费者做出决策。此分析结果突显了州对可再生能源的支持和价格信号的双重重要性，因为在净计量政策及电费率高于平均水平的州，居民可再生能源系统的效益才能得到最佳实现。本数据集旨在使读者能够复现并定制本工作中进行的分析，以获得益处。建议的修改包括：地理位置、家庭负荷曲线、电费率结构和可再生能源系统设计。