A geographic information system-based large scale visibility assessment tool for multi-criteria photovoltaic planning on urban building roofs

Integration of photovoltaics (PV) into the urban environment will play a major role in the energy transition. However, installing PV systems on building roofs can be challenging, particularly for monumental buildings with strict architectural and social value restrictions. Assessing roof surface visibility is, therefore, key to finding as...

Decarbonising residential sector of Indonesia by strengthening energy efficiency and rooftop PV policies

Indonesia has ambitious targets to reduce its greenhouse gas emissions by 29 to 41% by 2030 and to achieve net-zero emissions by 2060. The residential sector in Indonesia consumes close to fifty percent of the country’s overall electricity demand. In the last decade, the residential demand for power has doubled, indicating a substantial rise. As...

Estimating the technical and economic potential of rooftop solar photovoltaics on Bali

The Indonesian aims to greatly increase the share of renewable energy sources in the electricity generation mix. Rooftop solar photovoltaics (RTSPV) are a potential generation method that can be used in support of this, with Bali chosen as a case study. No estimates of the total technical and economic potential of RTSPV on Bali exist in academic...

Rooftop PV in Indonesia: A Niche Development Analysis: A qualitative study to analyze the niche development using Strategic Niche Management (SNM) with complementary insights from Multi-Level Perspective (MLP) and Business Model

To achieve 23% renewable energy by 2025, 29% emission reduction by 2030, and net zero emission in 2060, Indonesia needs to accelerate the transition to renewable energy such as solar energy. Despite the abundant solar energy potential, the contribution of solar PV has only reached 0.05% of the energy mix in 2021 (MEMR, 2021). The development of...

A quick-scan method to assess photovoltaic rooftop potential based on aerial imagery and LiDAR

A quick-scan yield prediction method has been developed to assess rooftop photovoltaic (PV) potential. The method has three main parts. For each roof, first (i) virtual 3D roof segments were reconstructed using aerial imagery, then, (ii) PV modules were automatically fitted onto roof segments using a fitting algorithm and finally, (iii) expected...

Development of a large scale rooftop PV potential assessment tool

Recently, climate action has become a priority in the agendas of every government, and the Netherlands was no exception. Almost 6 months ago, the so-called Klimaatakkord was released. This climate agreement sets ambitious goals to reduce greenhouse gas emissions, such as ensuring that 70% of the electricity comes from renewable sources by 2030 ...

Development and validation of a quick-scan algorithm for evaluation of rooftop PV potential

A quick-scan algorithm has been developed in order to evaluate rooftop PV potential in the Netherlands. Both its panel fitting and yield prediction functions have been validated with existing systems monitored by Solar Monkey. The calculation times of different parts of the algorithm were measured and decreased while keeping the accuracy of the...