- 标题
- 摘要
- 关键词
- 实验方案
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Assessing the Effect of Incentive Policies on Residential PV Investments in Colombia
摘要： As the cost of solar photovoltaic (PV) falls, their potential for transforming modern electricity generation increases. Solar PV provides a simpler way of producing clean and affordable energy, which makes it an attractive investment. Great investments in solar PV have occurred in industrialized countries, but government efforts to promote this technology have not been effective in nonindustrialized countries. Despite this, some of these countries may have a high solar PV potential, such as Colombia, where policies to encourage solar PV are only just starting to take place. Therefore, this paper proposes a simulation model to assess different policies—feed-in tariff, net metering, and capital subsidy—to promote solar PV investments in the Colombian residential sector. Policies are assessed considering the criteria of efficiency and effectiveness. Simulation results suggest that (i) net metering is the most efficient policy with a cost indicator of 20,298 USD/MW; (ii) feed-in tariff is the most effective policy as it reaches the highest level of avoided CO2 emissions—4,792,823 million tons of CO2—and a meaningful PV installed capacity of 7522 MW; (iii) capital subsidy is the least efficient policy as it has the highest cost indicator of 509,616 USD/MW.
关键词： net metering,feed-in tariff,capital subsidy,PV adoption,effectiveness,CO2 emissions,efficiency
更新于2025-09-23 15:21:21
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Simulating the efficient diffusion of photovoltaics in Bogot??: An urban metabolism approach
摘要： Urban metabolism has proven to be suitable for assessing the environmental performance of cities. Bogotá, one of the world’s highest-located and largest tropical cities, has made little use of rooftop photovoltaics, despite its potential. Using a simulation model, based on the urban metabolism approach, this paper examines several possible PV technology diffusion paths considering the consumer adoption processes of the residential, commercial, industrial and institutional sectors of the city. Further, the impact of PV diffusion is analyzed in terms of urban metabolism indicators such as greenhouse gas emissions and reduction of technical losses in the electricity system. Results indicate that policy is required for promoting consumer awareness about the use of PVs for meeting electricity demand. Reductions in greenhouse gas emissions of up to 820,000t of CO2 per year could be achieved. Adoption rates in the residential sector of the order of 26% could be possible. This in turn would represent an installed capacity of 1.5 GW, and emission reductions of 450,000t of CO2 per year. Additionally, the commercial sector could reach a potential installed capacity of 1.2 GW. The industrial and institutional sectors could reach an installed capacity of about 10 MW and 70 MW respectively.
关键词： Technology adoption modelling,Distributed generation,Urban metabolism,Solar panels,Bogotá
更新于2025-09-23 15:19:57
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Q-complementarity in household adoption of photovoltaics and electricity-intensive goods: The case of electric vehicles
摘要： Photovoltaic (PV) units and electric vehicles (EVs) are two household goods that are the focus of much research, and many policy initiatives attempting to promote a more sustainable, low-carbon energy system. Despite both academic and practical interest in household adoption of PV units and EVs, potential linkages in these household decisions have only just begun to be explored. This paper presents q-complementarity between the goods as one possible form of a linkage between PV and EV purchases that is based on economic utility theory. We posit the goods could be q-complements due to a PV-owning household’s ability to offset and shift their electricity load from EV charging to increase the self-consumption of ‘home-made’ electricity, thereby increasing the positive feelings of environmental e?cacy and monetary returns from the PV unit. We use data from 2541 internet surveys of Austrian residential electricity customers collected in 2018 to explore these hypotheses. Probit models of household EV and PV adoption choice are estimated, including a recursive bivariate probit model of households who plan to purchase an EV in the future, with PV ownership endogenously determined. Controlling for household income, characteristics, environmental attitudes, and neighborhood characteristics, we ?nd that EV and PV adoption are positively correlated, and that current PV unit owners are 21% more likely to plan an EV purchase in the next 5 years compared to non-PV owners. We interpret these results as evidence in support of our hypothesis of q-complementarity between PV units and EVs, and note the potential for added bene?ts from incentive policies promoting adoption of one good or the other that this linkage suggests.
关键词： PV adoption,Electric vehicle adoption,q-complements,Recursive bivariate probit model,Household choice,Solar adoption,Photovoltaic
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS) - Tel-Aviv, Israel (2019.11.4-2019.11.6)] 2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS) - Waveguide Excitation Using On-Chip Antenna for Wireline Data Links
摘要： Plug-in hybrid electric vehicles (PHEVs) offer the potential to significantly reduce greenhouse gas emissions, if vehicle consumers are willing to adopt this new technology. Consequently, there is much interest in exploring PHEV market penetration models. In prior work, we developed an agent-based model (ABM) of potential PHEV consumer adoption that incorporated several spatial, social, and media influences to identify nonlinear interactions among potential leverage points that may impact PHEV market penetration. In developing that model, the need for additional data to properly inform both the decision-making rules and agent initialization became apparent. To address these issues, we recently conducted and analyzed an extensive consumer survey; in this paper, we modify the ABM to reflect the survey findings. A unique aspect is a one-to-one correspondence between agents in the model and survey respondents, and thus yielding distributions and cross correlations in agent attributes that accurately reflect the survey population. We also implement a used-PHEV market, and allow agents to purchase new or used compact PHEVs or vehicles of their current type. Based on our prior survey response analysis, our modified model includes a PHEV-technology threshold component, a multinomial logistic prediction of willingness to consider a compact PHEV based on dynamically changing attitudes, and agent-specific delay discounting functions that predict the amount agents are willing to pay up front for greater fuel savings. We thus independently account for agents’ discomfort with the new PHEV technology, their desire to drive a more environmentally friendly vehicle, and their willingness to pay a higher sticker price for a PHEV. Results of ten survey-based ABM scenarios are reported with implications for policy-makers and manufacturers. We believe close integration of the design of consumer surveys and the development of ABMs is a key step in developing useful decision-support models; this paper serves as an example of one way to achieve that.
关键词： agent-based model,vehicle choice survey,market penetration,vehicle choice simulation,Plug-in hybrid electric vehicles (PHEVs),electric vehicle adoption
更新于2025-09-19 17:13:59
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A Continuously Tunable Bandpass Filter Using Distilled Water Based on Multiple-Mode Resonator
摘要： Plug-in hybrid electric vehicles (PHEVs) offer the potential to significantly reduce greenhouse gas emissions, if vehicle consumers are willing to adopt this new technology. Consequently, there is much interest in exploring PHEV market penetration models. In prior work, we developed an agent-based model (ABM) of potential PHEV consumer adoption that incorporated several spatial, social, and media influences to identify nonlinear interactions among potential leverage points that may impact PHEV market penetration. In developing that model, the need for additional data to properly inform both the decision-making rules and agent initialization became apparent. To address these issues, we recently conducted and analyzed an extensive consumer survey; in this paper, we modify the ABM to reflect the survey findings. A unique aspect is a one-to-one correspondence between agents in the model and survey respondents, and thus yielding distributions and cross correlations in agent attributes that accurately reflect the survey population. We also implement a used-PHEV market, and allow agents to purchase new or used compact PHEVs or vehicles of their current type. Based on our prior survey response analysis, our modified model includes a PHEV-technology threshold component, a multinomial logistic prediction of willingness to consider a compact PHEV based on dynamically changing attitudes, and agent-specific delay discounting functions that predict the amount agents are willing to pay up front for greater fuel savings. We thus independently account for agents’ discomfort with the new PHEV technology, their desire to drive a more environmentally friendly vehicle, and their willingness to pay a higher sticker price for a PHEV. Results of ten survey-based ABM scenarios are reported with implications for policy-makers and manufacturers. We believe close integration of the design of consumer surveys and the development of ABMs is a key step in developing useful decision-support models; this paper serves as an example of one way to achieve that.
关键词： vehicle choice survey,electric vehicle adoption,vehicle choice simulation,agent-based model,market penetration,Plug-in hybrid electric vehicles (PHEVs)
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - The Critical Role of Window Design in Rear-Emitter Solar Cells
摘要： Plug-in hybrid electric vehicles (PHEVs) offer the potential to significantly reduce greenhouse gas emissions, if vehicle consumers are willing to adopt this new technology. Consequently, there is much interest in exploring PHEV market penetration models. In prior work, we developed an agent-based model (ABM) of potential PHEV consumer adoption that incorporated several spatial, social, and media influences to identify nonlinear interactions among potential leverage points that may impact PHEV market penetration. In developing that model, the need for additional data to properly inform both the decision-making rules and agent initialization became apparent. To address these issues, we recently conducted and analyzed an extensive consumer survey; in this paper, we modify the ABM to reflect the survey findings. A unique aspect is a one-to-one correspondence between agents in the model and survey respondents, and thus yielding distributions and cross correlations in agent attributes that accurately reflect the survey population. We also implement a used-PHEV market, and allow agents to purchase new or used compact PHEVs or vehicles of their current type. Based on our prior survey response analysis, our modified model includes a PHEV-technology threshold component, a multinomial logistic prediction of willingness to consider a compact PHEV based on dynamically changing attitudes, and agent-specific delay discounting functions that predict the amount agents are willing to pay up front for greater fuel savings. We thus independently account for agents’ discomfort with the new PHEV technology, their desire to drive a more environmentally friendly vehicle, and their willingness to pay a higher sticker price for a PHEV. Results of ten survey-based ABM scenarios are reported with implications for policy-makers and manufacturers. We believe close integration of the design of consumer surveys and the development of ABMs is a key step in developing useful decision-support models; this paper serves as an example of one way to achieve that.
关键词： vehicle choice survey,market penetration,Plug-in hybrid electric vehicles (PHEVs),vehicle choice simulation,electric vehicle adoption,agent-based model
更新于2025-09-19 17:13:59
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[IEEE 2019 XV Workshop de Vis?￡o Computacional (WVC) - S?￡o Bernardo do Campo, Brazil (2019.9.9-2019.9.11)] 2019 XV Workshop de Vis?￡o Computacional (WVC) - Retinal Image Multimodal and Multitemporal Registration for a Multispot Laser Photocoagulation Device
摘要： Plug-in hybrid electric vehicles (PHEVs) offer the potential to significantly reduce greenhouse gas emissions, if vehicle consumers are willing to adopt this new technology. Consequently, there is much interest in exploring PHEV market penetration models. In prior work, we developed an agent-based model (ABM) of potential PHEV consumer adoption that incorporated several spatial, social, and media influences to identify nonlinear interactions among potential leverage points that may impact PHEV market penetration. In developing that model, the need for additional data to properly inform both the decision-making rules and agent initialization became apparent. To address these issues, we recently conducted and analyzed an extensive consumer survey; in this paper, we modify the ABM to reflect the survey findings. A unique aspect is a one-to-one correspondence between agents in the model and survey respondents, and thus yielding distributions and cross correlations in agent attributes that accurately reflect the survey population. We also implement a used-PHEV market, and allow agents to purchase new or used compact PHEVs or vehicles of their current type. Based on our prior survey response analysis, our modified model includes a PHEV-technology threshold component, a multinomial logistic prediction of willingness to consider a compact PHEV based on dynamically changing attitudes, and agent-specific delay discounting functions that predict the amount agents are willing to pay up front for greater fuel savings. We thus independently account for agents’ discomfort with the new PHEV technology, their desire to drive a more environmentally friendly vehicle, and their willingness to pay a higher sticker price for a PHEV. Results of ten survey-based ABM scenarios are reported with implications for policy-makers and manufacturers. We believe close integration of the design of consumer surveys and the development of ABMs is a key step in developing useful decision-support models; this paper serves as an example of one way to achieve that.
关键词： vehicle choice survey,market penetration,Plug-in hybrid electric vehicles (PHEVs),vehicle choice simulation,electric vehicle adoption,agent-based model
更新于2025-09-19 17:13:59
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[IEEE 2019 Electrical Design of Advanced Packaging and Systems (EDAPS) - KAOHSIUNG, Taiwan (2019.12.16-2019.12.18)] 2019 Electrical Design of Advanced Packaging and Systems (EDAPS) - A mm-Wave Low-Loss Transition from Microstrip Line to Air-Filled Substrate Integrated Wavguide on Printed Circuit Board Technology
摘要： Plug-in hybrid electric vehicles (PHEVs) offer the potential to significantly reduce greenhouse gas emissions, if vehicle consumers are willing to adopt this new technology. Consequently, there is much interest in exploring PHEV market penetration models. In prior work, we developed an agent-based model (ABM) of potential PHEV consumer adoption that incorporated several spatial, social, and media influences to identify nonlinear interactions among potential leverage points that may impact PHEV market penetration. In developing that model, the need for additional data to properly inform both the decision-making rules and agent initialization became apparent. To address these issues, we recently conducted and analyzed an extensive consumer survey; in this paper, we modify the ABM to reflect the survey findings. A unique aspect is a one-to-one correspondence between agents in the model and survey respondents, and thus yielding distributions and cross correlations in agent attributes that accurately reflect the survey population. We also implement a used-PHEV market, and allow agents to purchase new or used compact PHEVs or vehicles of their current type. Based on our prior survey response analysis, our modified model includes a PHEV-technology threshold component, a multinomial logistic prediction of willingness to consider a compact PHEV based on dynamically changing attitudes, and agent-specific delay discounting functions that predict the amount agents are willing to pay up front for greater fuel savings. We thus independently account for agents’ discomfort with the new PHEV technology, their desire to drive a more environmentally friendly vehicle, and their willingness to pay a higher sticker price for a PHEV. Results of ten survey-based ABM scenarios are reported with implications for policy-makers and manufacturers. We believe close integration of the design of consumer surveys and the development of ABMs is a key step in developing useful decision-support models; this paper serves as an example of one way to achieve that.
关键词： vehicle choice survey,market penetration,Plug-in hybrid electric vehicles (PHEVs),vehicle choice simulation,electric vehicle adoption,agent-based model
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Electroluminescence Study of over 700 Fielded PV Modules in All India Survey 2018
摘要： Plug-in hybrid electric vehicles (PHEVs) offer the potential to significantly reduce greenhouse gas emissions, if vehicle consumers are willing to adopt this new technology. Consequently, there is much interest in exploring PHEV market penetration models. In prior work, we developed an agent-based model (ABM) of potential PHEV consumer adoption that incorporated several spatial, social, and media influences to identify nonlinear interactions among potential leverage points that may impact PHEV market penetration. In developing that model, the need for additional data to properly inform both the decision-making rules and agent initialization became apparent. To address these issues, we recently conducted and analyzed an extensive consumer survey; in this paper, we modify the ABM to reflect the survey findings. A unique aspect is a one-to-one correspondence between agents in the model and survey respondents, and thus yielding distributions and cross correlations in agent attributes that accurately reflect the survey population. We also implement a used-PHEV market, and allow agents to purchase new or used compact PHEVs or vehicles of their current type. Based on our prior survey response analysis, our modified model includes a PHEV-technology threshold component, a multinomial logistic prediction of willingness to consider a compact PHEV based on dynamically changing attitudes, and agent-specific delay discounting functions that predict the amount agents are willing to pay up front for greater fuel savings. We thus independently account for agents’ discomfort with the new PHEV technology, their desire to drive a more environmentally friendly vehicle, and their willingness to pay a higher sticker price for a PHEV. Results of ten survey-based ABM scenarios are reported with implications for policy-makers and manufacturers. We believe close integration of the design of consumer surveys and the development of ABMs is a key step in developing useful decision-support models; this paper serves as an example of one way to achieve that.
关键词： vehicle choice survey,electric vehicle adoption,vehicle choice simulation,agent-based model,market penetration,Plug-in hybrid electric vehicles (PHEVs)
更新于2025-09-19 17:13:59
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Factors affecting the intention to adopt light-emitting diode lighting at home
摘要： This study investigates the significant factors affecting the adoption of light emitting diode lighting among households in Malaysia by conceptualizing and extending the unified theory of acceptance and use of technology through the adaptation of price value and the anticipated emotions of pride and guilt within the model. This study used the partial least squares technique to validate measurements and to test the research hypotheses. The results obtained from analysing 1075 valid survey questionnaires revealed the effects of performance expectancy, effort expectancy and price value on the intention to use light-emitting diodes among Malaysian households. While the results support the mediating role of attitude between the three variables and intention to use light-emitting diodes, the moderating role of anticipated pride on the relationship between attitude and intention to use light-emitting diodes was not supported. The findings confirm that guilt significantly moderates the relationship between attitude and intention.
关键词： pride,light-emitting diode lighting,adoption,guilt,anticipated emotions,Malaysia,unified theory of acceptance and use of technology,price value
更新于2025-09-19 17:13:59