Local factors affecting the spatial diffusion of residential photovoltaic adoption in Sri Lanka

Spatial Characteristics of the Diffusion of Residential Solar Photovoltaics in Urban Areas: A Case of Seoul, South Korea

“…Additionally, the 40–69 age group was affected by the adoption of mini-solar PVs in hot spot areas. Likewise, in the previous studies [ 23 , 24 , 25 ], residents in their 40s were found to have a higher tendency to install PVs. While the potential for the electricity generation of rooftop solar PVs is the highest, from 12 to 2 pm [ 47 ], and the electricity cannot be saved and should be consumed immediately, elderly people and middle-aged full-time homemakers tend to stay longer during the daytime.…”

“…Similarly, others concluded that, among those in their 40s, the adoption rate is higher [ 23 , 24 ] or more insignificant [ 13 ]. A Sri Lankan study [ 25 ] presented a positive relationship between middle age (40–49) and the adoption of RSPVs and argued that, in their 30s or younger, people cannot afford the initial cost of the installation. While no particular studies are found based on the case of Seoul, this study categorized ages into groups according to population ratios through a dasymetric mapping method [ 26 , 27 ] (population ratio by age group of apartment complexes).…”

Is peer-to-peer electricity trading empowering users? Evidence on motivations and roles in a prosumer business model trial in Australia

“…They create narratives in order to align opinions about the innovation among their peers and the rest of the actors in the system [30,50,65,66]. These users try to stimulate acceptance of the innovation among their peer networks by encouraging imitation and competitive reactions among the majority of users, thus playing a crucial role in creating conditions for wide diffusion of innovation [66][67][68][69][70]. Existing literature terms them early adopters [50], users-legitimators [30], entrepreneurial users and lead users [57,71,72].…”

Geospatial multi-criteria analysis for identifying high priority clean energy investment opportunities: A case study on land-use conflict in Bangladesh

“…GIS-based spatial assessments of renewable energy potential are particularly limited in South Asia and primarily focus on technical potential. Some examples of studies of technical potential in South and South-East Asia include assessments of solar energy and biomass residues in ASEAN countries [35,36], onshore wind power potential in India [37], PV, onshore wind and offshore wind in India [33,37,38], utility scale solar power in Pakistan [39], Vietnam [40], and Malaysia Penninsla [41], residential solar PV potential in Sri Lanka [42], residential solar power and wind power potential in Thailand [43,44].…”