Although heat pump based district heating is often an obvious solution from an energy standpoint, adapting the delivery temperature to the most exigent users is detrimental to overall system performance. This pitfall can be avoided with a centralized plant of heat pumps, cogeneration units and an auxiliary furnace, supplemented by decentralized heat pumps. However, the problem of mixed energy production and delivery which this poses is complex and presents for the engineer the daunting if not impossible task of adequately, much less optimally, determining the best system for the job. In the first of a series of two articles (i.e. Part I [1]), an environomic methodology for aiding in this task is described and the details of the environomic model for a district heating network based on centralized and decentralized heat pumps presented. This methodology is used to model the thermodynamic, economic, and environmental characteristics of such a system in order that its final configuration and corresponding component designs can be optimized. In the present article (i.e. Part II), a complete set of results for the optimal synthesis, design and operation of the network is given and discussed. The resulting solution space is highly nonlinear and non-contiguous and is effectively searched using a genetic algorithm. Results are shown for various district heating user distributions, as well as fuel and electricity prices. When properly optimized, solutions with heat pumps are economically very close to traditional district heating solutions, particularly when the main pollution costs are internalized.