1 / 11

Modelling take-up of residential Solar PV

This conference paper by Sophie Heald in September 2019 delves into the history and future trends of residential Solar PV policy and uptake. It examines the impact of policy changes on solar FiT rates from 2011 to 2016 and their implications on consumer behavior and market projections. Factors affecting cost-effectiveness and consumer preferences, as influenced by non-price elements like information access and aesthetics, are analyzed. Key assumptions related to electricity prices, CAPEX costs, and baseline projections are discussed, along with recent developments like the EU relaxing anti-dumping legislation and the government's plans to phase out FiTs. The paper projects the future of residential Solar PV based on various scenarios, including a 70% self-consumption ratio by 2030, providing insights into the evolving landscape of renewable energy adoption.

sconnelly
Download Presentation

Modelling take-up of residential Solar PV

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. BIEE Conference Modelling take-up of residential Solar PV Sophie Heald September 2019

  2. A history of residential Solar PV policy Feb 2016: Solar FiT reduced from 12.47 p/kWh to 4.39 p/kWh Aug 2012: Solar FIT cut to 15p/kWh; available for 20 years Oct 2011: Solar FIT cut from 43p/kWh to 23p/kWh April 2010: Solar FiT launches

  3. Modelling future take-up • Distribution of cost-effectiveness • Determined by: • load factor • CAPEX and OPEX costs • interest rate • electricity price • self-consumption ratio • Distribution of consumer preferences • Determined by non-price factors, such as: • access to information • aesthetics • consumer perceptions X% of consumers in this area invest in a given year increasing cost-effectiveness increasing consumer preference

  4. Key assumptions Electricity prices CAPEX costs

  5. Baseline projections

  6. 3rd September 2018:EU relaxes anti-dumping legislation

  7. Residential Solar PV projections with relaxation of anti-dumping legislation +1 GW

  8. 1st April 2019:Government plans to end FiTs for Solar

  9. Residential Solar PV projections with phase-out of FiTs in April 2019 - 2 GW

  10. Residential Solar PV projections with 70% self-consumption ratio by 2030 +0.5 GW

  11. Consumers at the heart of the energy system?

More Related