Best practices of techno-economic methods for solar photovoltaic coupled heat pump analysis in cold climates

• Decarbonizing building heating/cooling load with photovoltaic (PV) powered heat pumps (HP) • Key performance indicators for electricity generation and total life cycle cost are summarized. • Existing PV + HP models reviewed and best practices outlined. • Policy implications of replacing fossil fuel heating with PV + HP are discussed. One of the most promising methods of decarbonizing the global building heating and cooling load is with solar photovoltaic (PV) powered heat pumps (HP). The complex nature of these systems and the interdependent interactions between each technology and the energy markets involve various sophisticated models to simulate accurately. This often leaves model descriptions lacking, particularly when qualitative discussion is required. This article reviews the models that exist and provides best practices for designing and simulating PV + HP systems of various complexities. The key performance indicators for electricity generation and total life cycle cost are summarized. This article then provides a detailed and comprehensive method for the techno-economic analysis of heat pumps powered with PV using an example of North American cold climates. For each component of the system, a model and boundary condition are described, and motivations are explained, as well as descriptions of alternatives and motivations for not using them. The result shows a method that combines five disparate models across multiple computer programs into a single analysis that produces critical metrics for technical, economic, and climate impact analysis. This paper identified the best practices for building energy demand and supply simulation with a particular focus on prosumer electrification via PV and HPs. This model is generalizable and the economic and policy implications of replacing fossil fuel heating with solar-powered heat pumps in both rural and urban areas that are discussed here, and future work is proposed to eliminate natural gas used for heating. High-leverage opportunities exist to enhance support for the development of free and open-source integrated systems modeling tools as well as open data to provide transparent trusted results to help guide policymakers and investors.