| Srl | Item |
| 1 |
ID:
192780
|
|
|
|
|
| Summary/Abstract |
Distributed rooftop photovoltaics (PV) is one of the pillars of the energy transition yet their widespread integration strains grids, leading to over-voltage, reverse power flow, and infrastructure strain. Furthermore, increased PV self-consumption reduces imported electricity, posing challenges for cost recovery by Transmission System Operators (TSOs) and Distribution System Operators (DSOs), whose grid costs were traditionally tied to volumetric tariffs. To investigate whether alternative tariffs could mitigate PV impacts at the distribution level without hampering PV development, we assess five electricity tariffs that could help the DSOs to recover the costs of maintaining the distribution grid. We also analyze their effects on private storage investment and their implications for urban, semi-urban, and rural low-voltage networks. We found that tariffs with a capacity-based component promote further adoption of PV and storage. At the same time, they allow the DSOs to recover the grid cost without incurring relevant economic differences for the customer. Our study found that alternative tariffs like dynamic and capacity-based tariffs promote the adoption of storage and PV systems. While no single tariff alone can fully mitigate PV impacts at the distribution level, our results point towards the need of managing PV export through solutions like PV curtailment.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
171392
|
|
|
|
|
| Summary/Abstract |
Increasing distributed renewable energy generation renders balancing of energy supply and demand more challenging. Peer-to-peer (P2P) exchange of decentrally generated energy is a promising means to optimize renewable energy flows. While previous research has primarily focused on the technological and economic benefits of P2P energy trading, little research has investigated customer preferences in this context so far. It is thus still unclear to what extent private actors such as homeowners are actually willing to participate in P2P energy communities and if so, under which conditions. Here, we address this research gap by analyzing homeowners' trading decisions in simulated P2P electricity trading scenarios. Findings based on a sample of 301 German homeowners show that community electricity prices and state of charge of private energy storages are key determinants of homeowners’ trading behavior. We moreover identified four target groups that systematically differed in their decision-making strategies ranging from price-focused prosumers (38.9%) to classic non-trading consumers (22.6%). Our findings provide promising insights for the design of P2P communities and allow policy makers to more accurately predict risks and benefits associated with P2P projects. Finally, our findings contribute to the development of tailored policy instruments aiming to increase P2P trading in decentralized energy communities.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|