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Thomas Lapi

Publications and source records attributed to Thomas Lapi.

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Beyond 2050: From deployment to renewal of the global solar and wind energy system

The global energy transition depends on large-scale photovoltaic (PV) and wind power deployment. While 2050 targets suggest a transition endpoint, maintaining these systems beyond mid-century requires continuous renewal, marking a fundamental yet often overlooked shift in industrial dynamics. This study examines the transition from initial deployment to long-term renewal, using a two-phase growth model: an exponential expansion followed by capacity stabilization. By integrating this pattern with a Weibull distribution of PV panel and wind turbine lifespans, we estimate the annual production required for both expansion and maintenance. Our findings highlight two key factors influencing production dynamics: deployment speed and lifespan. When deployment occurs faster than the average lifespan, production overshoots and exhibits damped oscillations due to successive installation and replacement cycles. In contrast, gradual deployment leads to a smooth increase before stabilizing at the renewal rate. Given current scenarios, the PV industry is likely to experience significant oscillations - ranging from 15 % to 60 % of global production - while wind power follows a monotonic growth trajectory. These oscillations, driven by ambitious energy targets, may result in cycles of overproduction and underproduction, affecting industrial stability. Beyond solar and wind, this study underscores a broader challenge in the energy transition: shifting from infrastructure expansion to long-term maintenance. Addressing this phase is crucial for ensuring the resilience and sustainability of renewable energy systems beyond 2050.

physics.soc-ph

Modeling Technological Deployment and Renewal: Monotonic vs. Oscillating Industrial Dynamics

This study proposes a new model based on a classic S-curve that describes deployment and stabilization at maximum capacity. In addition, the model extends to the post-growth plateau, where technological capacity is renewed according to the distribution of equipment lifespans. We obtain two qualitatively different results. In the case of "fast" deployment, characterized by a short deployment time in relation to the average equipment lifetime, production is subject to significant oscillations. In the case of "slow" deployment, production increases monotonically until it reaches a renewal plateau. These results are counterintuitively validated by two case studies: nuclear power plants as a fast deployment and smartphones as a slow deployment. These results are important for long-term industrial planning, as they enable us to anticipate future business cycles. Our study demonstrates that business cycles can originate endogenously from industrial dynamics of installation and renewal, contrasting with traditional views attributing fluctuations to exogenous macroeconomic factors. These endogenous cycles interact with broader trends, potentially being modulated, amplified, or attenuated by macroeconomic conditions. This dynamic of deployment and renewal is relevant for long-life infrastructure technologies, such as those supporting the renewable energy sector and has major policy implications for industry players.

physics.soc-ph