Evaluating the Changing Causes of Photovoltaics Cost Reduction

Kavlak, Goksin; McNerney, James; Trancik, Jessika E.

doi:10.2139/ssrn.2891516

Cited by 6 publications

(4 citation statements)

References 37 publications

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“…It is important to note that while there may currently be an increased cost associated with low and zero carbon products, such goods and services will become exponentially cheaper as the technologies continue to develop. This was the case with batteries as well as renewable energy equipment like wind turbines and photovoltaic panels. − In addition, the cost of energy generation is decreasing. For instance, some renewable energy sources, such as onshore wind and solar, already cost less than fossil fuel derived energy forms …”

Section: Required Actionmentioning

confidence: 99%

How Climate Literacy and Public Opinion Are the Driving Forces Behind Climate-Based Policy: A Student Perspective on COP27

Sill¹,

Ayala²,

Rolf³

et al. 2023

ACS Omega

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Despite the existence of a substantial amount of climate-related scientific data, misconceptions about climate change are still prevalent within public opinion. Dissemination of misinformation to the public through subjective media sources is a major challenge that climate scientists face. Implementation of climate policy is crucial for mitigation and adaptation measures required to curtail anthropogenic rooted climate change. This paper will discuss student perspectives on the 2022 United Nations climate summit in Egypt (COP27) related to climate literacy and public opinion as the driving forces behind the enactment and execution of important climate-based policy.

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Section: Required Actionmentioning

confidence: 99%

How Climate Literacy and Public Opinion Are the Driving Forces Behind Climate-Based Policy: A Student Perspective on COP27

Sill¹,

Ayala²,

Rolf³

et al. 2023

ACS Omega

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“…Core sectors: We find that knowledge development and diffusion in core value chain segments of solar PV took place in two ways. First, product innovations focused on cell materials and designs in order to increase cell efficiency (Kavlak et al, 2016). Second, cost reduction was achieved by scaling up production processes and increasing their efficiency, enabling, for example, reduction in wafer thickness and hence the amount of silicon used (SPV4, 10).…”

Section: Downstream Sectorsmentioning

confidence: 99%

The role of inter-sectoral learning in knowledge development and diffusion: Case studies on three clean energy technologies

Malhotra

Schmidt

Huenteler

2019

Technological Forecasting and Social Change

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“…It is beyond the scope of this work to attempt to forecast PV prices up to 2022, as the processes driving continuing cost reduction of the technology are varied and their interplay is complex (Kavlak et al, 2016). Thus, three annual percentage cost reductions predicted by other sources were used ( Figure 6).…”

Section: Solar Pv Capital Costmentioning

confidence: 99%

Feed-in tariffs for solar microgeneration: Policy evaluation and capacity projections using a realistic agent-based model

Pearce

Slade

2018

Energy Policy

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Since 2010, over 700,000 small-scale solar photovoltaic (PV) systems have been installed by households in Great Britain and registered under the feed-in tariff (FiT) scheme. This paper introduces a new agentbased model which simulates this adoption by considering decision-making of individual households based on household income, social network, total capital cost of the PV system, and the payback period of the investment, where the final factor takes into account the economic effect of FiTs. After calibration using Approximate Bayesian Computation, the model successfully simulates observed cumulative and average capacity installed over the period 2010-2016 using historically accurate FiTs; setting different tariffs allows investigation of alternative policy scenarios. Model results show that using simple cost control measures, more installation by October 2016 could have been achieved at lower subsidy cost. The total cost of supporting capacity installed during the period 2010-2016, totalling 2.4 GW, is predicted to be £14 billion, and costs to consumers significantly exceed predictions. The model is further used to project capacity installed up to 2022 for several PV cost, electricity price, and FiT policy scenarios, showing that current tariffs are too low to significantly impact adoption, and falling PV costs are the most important driver of installation.

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Evaluating the Changing Causes of Photovoltaics Cost Reduction

Cited by 6 publications

References 37 publications

How Climate Literacy and Public Opinion Are the Driving Forces Behind Climate-Based Policy: A Student Perspective on COP27

How Climate Literacy and Public Opinion Are the Driving Forces Behind Climate-Based Policy: A Student Perspective on COP27

The role of inter-sectoral learning in knowledge development and diffusion: Case studies on three clean energy technologies

Feed-in tariffs for solar microgeneration: Policy evaluation and capacity projections using a realistic agent-based model

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