Hatef Madani

Revisiting the techno-economic analysis process for building-mounted, grid-connected solar photovoltaic systems: Part two - Application

Part One in this two part paper identified Monte Carlo analysis as an improved approach over traditional deterministic techno-economic methods for solar PV prosumers in deregulated markets. In this paper a novel Monte Carlo methodology is described and demonstrated through a case study for the Swedish residential sector, which includes a review of relevant market, climate, and policy conditions, their use in determining inputs, and the probabilistic results. The probability of profitability (PoP) is introduced as an indicator in conjunction with result distributions. The results show that under current policy conditions, Swedish PV investors with well positioned buildings have a 71% chance of making a 3% real return on investment, and virtually no chance of losing their original investment. Without subsidies the PoP drops to 8%. In none of the simulated cases was any of the original investment lost. The PoP is most sensitive to the capital subsidy and the uncertainty of market based, long-term support is less critical to the chances of a successful investment. Given the current market conditions, Swedish PV prosumers can expect a return on investment. The decision to install will also depend on the probability of achieving their desired profitability, which Monte Carlo analysis quantifies well.

The Ground Source Heat Pump : A System Analysis With a Particular Focus on The U-Pipe Borehole Heat Exchanger

The mass flow rate of the secondary refrigerant flowing in the borehole heat exchanger of a ground source heat pump is an influential system parameter whose variation can influence the pumping powe ...

SOLAR PV FOR SWEDISH PROSUMERS : A COMPREHENSIVE TECHNO-ECONOMIC ANALYSIS

Like many countries around the world, Sweden is experiencing an exponential growth in PV installations, driven largely by building mounted systems. As prosumers become significant actors in the ele ...