Quantifying the rebound effects of residential solar panel adoption

Qiu, Yueming; Kahn, Matthew E.; Xing, Bo

doi:10.1016/j.jeem.2019.06.003

Cited by 81 publications

(43 citation statements)

References 37 publications

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“…Some of the findings are in line with earlier literature that pointed to increases in awareness (Palm et al, 2018). Furthermore, the broad variety of behavioral responses also fits with the heterogeneity of past findings regarding the emergence and size of potential rebound or conservation/rebound effects (Oberst et al, 2019;Qiu et al, 2019;Li et al, 2020): Households brought forward a variety of logics and descriptions to explain their behaviors. This in-depth account of qualitative findings can inform the design of future quantitative studies that build on our findings.…”

Section: Discussionsupporting

confidence: 86%

“…Qiu et al ( 2019 ) obtained data from a utility company in the US including electricity meter data and survey data. In contrast to the studies cited before they estimated a solar rebound as high as 18 % by comparing the energy consumption of prosumer households with non-prosumers, and of 15% by comparing pre- and post-installation consumption (Qiu et al, 2019 ). The study also found effects of moderating variables, i.e., consumers from a neighborhood with more green/left wing voters showed smaller rebound effects.…”

Section: Conceptual Approach and State Of Researchmentioning

confidence: 99%

“…The researchers observed no major changes in consumption and hardly any indications of shifting demand according to electricity generation, but increasing energy awareness. Qiu et al (2019) obtained data from a utility company in the US including electricity meter data and survey data. In contrast to the studies cited before they estimated a solar rebound as high as 18 % by comparing the energy consumption of prosumer households with non-prosumers, and of 15% by comparing preand post-installation consumption (Qiu et al, 2019).…”

Section: Empirical Findings In the Literaturementioning

confidence: 99%

“…A body of literature that investigates behavioral consequences of using renewable energy sources or more specifically installing PV systems has recently begun to emerge (Wittenberg and Matthies, 2016 ; Oberst et al, 2019 ; Qiu et al, 2019 ; Li et al, 2020 ). To build on this new stream this paper firstly advances a conceptual framework within which prosumer energy behavior can be evaluated.…”

Section: Introductionmentioning

confidence: 99%

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Rebound and Spillovers: Prosumers in Transition

Dütschke

Galvin²,

Brunzema

2021

Front. Psychol.

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Generating energy by renewable sources like wind, sun or water has led to the emergence of “clean” energy that is generally available at low cost to the environment and is generated from seemingly unbounded resources. Many countries have implemented schemes to support the diffusion of renewable energies. The diffusion of micro-generation technologies like roof-top photovoltaics is one of the success stories within the energy transition and has been significantly driven—at least in countries such as Germany—by households. As these households usually not only generate energy but also consume it they are often called “prosumers.” How does it influence the energy behavior of households if they become prosumers? Are these behavioral changes in line with further goals of the energy transition, e.g., reducing demand? What shapes individual behaviors of prosumers? The paper introduces a conceptual framework based on the existing literature on rebound and spillover effects. It systematizes possible behavioral consequences as well as mechanisms behind them. This framework is then used to code and analyze data from 48 in-depth interviews with prosumer households. These interviews reveal a broad variety of behavioral responses which have their roots in economic conditions and their evaluation by the prosumers, psychological mechanisms like central guiding principles and a clear conscience as well as sociotechnical context and legislative frameworks.

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Section: Discussionsupporting

confidence: 86%

Section: Conceptual Approach and State Of Researchmentioning

confidence: 99%

Section: Empirical Findings In the Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rebound and Spillovers: Prosumers in Transition

Dütschke

Galvin²,

Brunzema

2021

Front. Psychol.

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“…Then, the authors in [34] further developed a disaggregation model to decouple PV-load considering a battery energy storage system (BESS). Nevertheless, the authors of [35] showed that it is different for the user with PV and without PV to consume electricity. To avoid these issues, considering both the PV output power and the harmonic current injected by the inverter of PV, the method was carried out in [36] to calculate the PV generation power.…”

Section: Literature Reviewmentioning

confidence: 99%

Photovoltaic Output Power Estimation and Baseline Prediction Approach for a Residential Distribution Network with Behind-the-Meter Systems

et al. 2020

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Considering that most of the photovoltaic (PV) data are behind-the-meter (BTM), there is a great challenge to implement effective demand response projects and make a precise customer baseline (CBL) prediction. To solve the problem, this paper proposes a data-driven PV output power estimation approach using only net load data, temperature data, and solar irradiation data. We first obtain the relationship between delta actual load and delta temperature by calculating the delta net load from matching the net load of irradiation for an approximate day with the least squares method. Then we match and make a difference of the net load with similar electricity consumption behavior to establish the relationship between delta PV output power and delta irradiation. Finally, we get the PV output power and implement PV-load decoupling by modifying the relationship between delta PV and delta irradiation. The case studies verify the effectiveness of the approach and it provides an important reference to perform PV-load decoupling and CBL prediction in a residential distribution network with BTM PV systems.

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Energy Transition: How Solar PV Would Shape the Final Household Electricity Consumption. An Economic Analysis on Sizing, Integration and Risk of Prosumer Energy Systems

Pamfile,

Proșcanu

2024

Springer Proceedings in Business and Economics

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Quantifying the rebound effects of residential solar panel adoption

Cited by 81 publications

References 37 publications

Rebound and Spillovers: Prosumers in Transition

Rebound and Spillovers: Prosumers in Transition

Photovoltaic Output Power Estimation and Baseline Prediction Approach for a Residential Distribution Network with Behind-the-Meter Systems

Energy Transition: How Solar PV Would Shape the Final Household Electricity Consumption. An Economic Analysis on Sizing, Integration and Risk of Prosumer Energy Systems

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