Towards a just energy transition in Delhi: Addressing the bias in the rooftop solar market

Dutt, D.K.; Ranjan, Abhishek

doi:10.1016/j.enpol.2021.112667

Cited by 9 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Considering the spatial and policy heterogeneity of the problem [23], diverse policy simulation of the CAPEX model under diverse policy scenarios becomes necessary in the Indian context [24]. Two objective functions are optimised to desired values for 3 states, with prosumers of 3 income classes, under 3 subsidy scenarios.…”

Section: Policy Simulationsmentioning

confidence: 99%

Adaptive Decentralized Payback Normalization for Socio-Economic Rebalancing of RE subsidies - A Case Study

Kumar,

Madassery R. Sindhu,

Vivek Mohan

et al. 2023

IJSEPM

View full text Add to dashboard Cite

Clean energy subsidies are designed to stimulate consumer participation and deliver greater benefits to society. India has a fixed centralised federal subsidy model for residential rooftop solar (RTS). Different states have different tariff schemes for electricity consumption and RTS feed-in. Thus, grid parity, payback period (PBP), and willingness to pay (WTP) differ for consumers of different states and income classes, resulting in social and geographical disparity in RTS implementation. A Socio-Economic Rebalancing of RE subsidies thus becomes necessary. This paper proposes a novel adaptive decentralised heterogeneous PBP equalisation-based subsidy policy to enhance the WTP for all prosumers and ensure uniformity of RTS implementation. A two-stage subsidy optimisation is conducted using a case study in diverse states to achieve Grid Parity initially and subsequently desired PBP for all states and income classes. The proposed subsidy ensures grid parity for all, sufficient to transit all the prosumers to 100% net electricity from RTS. The subsidy is further normalised by equalising the PBP to a target PBP thereby ensuring uniformity of RTS implementation in the country bridging the rural-urban WTP disparity, leading to a better social scenario. The strategy is adaptive to the future, as the subsidy can be revised with changes in techno-economic parameters.

show abstract

Section: Policy Simulationsmentioning

confidence: 99%

Adaptive Decentralized Payback Normalization for Socio-Economic Rebalancing of RE subsidies - A Case Study

Kumar,

Madassery R. Sindhu,

Vivek Mohan

et al. 2023

IJSEPM

View full text Add to dashboard Cite

show abstract

“…According to the study by Darko, the most significant barriers to green building have always been ignorance and resistance to technical progress [33]. C. Y. Jim's research on green roof and green wall installation policies and Dutt and Dwarkeshwar's research on rooftop solar energy policies indicate that raising residents' awareness is an urgent task for their effective implementation [34,35]. (3) Residents' willingness: This includes two main aspects, namely, their willingness to invest in photovoltaic green roofs and adopt the technology.…”

Section: Participant Factorsmentioning

confidence: 99%

What Are the Obstacles to Promoting Photovoltaic Green Roofs in Existing Buildings? The Integrated Fuzzy DEMATEL-ISM-ANP Method

Li,

Xiang,

Xia

et al. 2023

Sustainability

View full text Add to dashboard Cite

Photovoltaic green roofs can contribute to energy conservation in buildings and the sustainable development of cities, but they have yet to be widely used due to many factors. Therefore, it is necessary to investigate the factors limiting the promotion of photovoltaic green roofs and to clarify their interactions. Based on the existing literature and expert recommendations, this paper summarizes 20 factors affecting its promotion. Fuzzy DEMATEL was used to analyze the causal relationship and importance of the influencing factors. A hierarchical structure was established using the interpretative structural model (ISM) to visually represent the layered structure and pathways of the factors. The role and status of each influencing factor were determined using the cross-influence matrix analysis method (MICMAC). Finally, the analytic network process (ANP) was combined with the overall influence matrix to determine the overall weight of each factor. Combined with the DEMATEL-ISM-ANP method, nine key influencing factors, namely, the lack of incentive policies, imperfect technical specifications and evaluation standard system, local economic development level, residents’ cognition, residents’ willingness, enterprises’ technical problems, the lack of relevant talents, the lack of capital investment, and cooperation mode, were finally identified and analyzed, and suggestions and strategies for improvement were proposed.

show abstract

Demystifying the Prospects for Insurance Companies to Finance the Energy Metamorphosis

Bhatnagar

Özdemir

Pathak

2023

The Impact of Climate Change and Sustainability Standards on the Insurance Market

View full text Add to dashboard Cite

Towards a just energy transition in Delhi: Addressing the bias in the rooftop solar market

Cited by 9 publications

References 11 publications

Adaptive Decentralized Payback Normalization for Socio-Economic Rebalancing of RE subsidies - A Case Study

Adaptive Decentralized Payback Normalization for Socio-Economic Rebalancing of RE subsidies - A Case Study

What Are the Obstacles to Promoting Photovoltaic Green Roofs in Existing Buildings? The Integrated Fuzzy DEMATEL-ISM-ANP Method

Demystifying the Prospects for Insurance Companies to Finance the Energy Metamorphosis

Contact Info

Product

Resources

About