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Much has been written on the rooftop solar photovoltaic (PV) adoption in the U.S., but granular economic assessment at large scale is missing. We provide household level PV economic assessment for a medium size city in North Central Florida, and analyze the economic viability of these installations. Results show that a large number of households will not benefit from solar installations. Further, economic viability is heavily reliant on incentives whose future is uncertain at best. Our analysis did not reveal significant variations in economic viability across different household values --- a proxy we used to differentiate household wealth. Yet, building permits and installation locations indicate economically disadvantaged communities have much lower installation rates as has been the main conclusion in the earlier literature. We argue economic assessment for PV should extend beyond simple benefit--cost analysis. A more nuanced approach should be taken in PV feasibility assessment, and structuring incentive schemes. 

We present an open-source wireless network and data management system for collecting and storing indoor environmental measurements and perceived comfort via participatory sensing in commercial buildings. The system, called a personal comfort and indoor environment measurement (PCIEM) platform, consists of several devices placed in office occupants’ work areas, a wireless network, and a remote database to store the data. Each device, called a PCFN (personal comfort feedback node), contains a touchscreen through which the occupant can provide feedback on their perceived comfort on-demand, and several sensors to collect environmental data. The platform is designed to be part of an indoor climate control system that can enable personalized comfort control in real-time. We describe the design, prototyping, and initial deployment of a small number of PCFNs in a commercial building. We also provide lessons learned from these steps. Application of the data collected from the PCFNs for modeling and real-time control will be reported in future work. We use hardware components that are commercial and off-the-shelf, and our software design is based on open-source tools that are freely and publicly available to enable repeatability.