Exploiting the Solar Energy Surplus for Edge Computing

Borja Martinez; Xavier Vilajosana

RECORD

Exploiting the Solar Energy Surplus for Edge Computing

Borja Martinez, Xavier Vilajosana

Computers and Society · Submitted 10 Jun 2020

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The results show that the model is economically viable and technically feasible.

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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,538 input tokens.

What the abstract itself states, as probabilities: claims first 0.11 · states limitation 0.88 · human participants 0.03 · controlled comparison 0.35 · randomized assignment 0.01 · states quantitative result 0.08 · compares with prior results 0.39 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; show every role.

In the context of the global energy ecosystem transformation, we introduce a new approach to reduce the carbon emissions of the cloud-computing sector and, at the same time, foster the deployment of small-scale private photovoltaic plants. We consider the opportunity cost of moving some cloud services to private, distributed, solar-powered computing facilities. To this end, we compare the potential revenue of leasing computing resources to a cloud pool with the revenue obtained by selling the surplus energy to the grid. We first estimate the consumption of virtualized cloud computing instances, establishing a metric of computational efficiency per nominal photovoltaic power installed. Based on this metric and characterizing the site's annual solar production, we estimate the total return and payback. The results show that the model is economically viable and technically feasible. We finally depict the still many questions open, such as security, and the fundamental barriers to address, mainly related with a cloud model ruled by a few big players.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	In the context of the global energy ecosystem transformation, we introduce a new approach to reduce the carbon emissions of the cloud-computing sector and, at the same time, foster the deployment of small-scale private photovoltaic plants.	contribution 0.93	0.65	0.06	asserted 0.93
s1	We consider the opportunity cost of moving some cloud services to private, distributed, solar-powered computing facilities.	contribution 0.80	0.36	0.03	hedged possibility 0.43
s2	To this end, we compare the potential revenue of leasing computing resources to a cloud pool with the revenue obtained by selling the surplus energy to the grid.	method 0.91	0.53	0.03	asserted 0.58
s3	We first estimate the consumption of virtualized cloud computing instances, establishing a metric of computational efficiency per nominal photovoltaic power installed.	method 0.99	0.88	0.02	asserted 0.91
s4	Based on this metric and characterizing the site's annual solar production, we estimate the total return and payback.	method 0.98	0.91	0.05	asserted 0.86
s5	The results show that the model is economically viable and technically feasible.	result 0.84	0.92	0.86	asserted 1.00
s6	We finally depict the still many questions open, such as security, and the fundamental barriers to address, mainly related with a cloud model ruled by a few big players.	future work 0.79	0.41	0.04	asserted 0.80

What kind of paper the classifier reports this is: method or tool 0.41 · evidence from simulation or computation 0.94.

What was examined, and what was not

sources read

arXiv listing abstract v1

not examined

full text
figures and tables
references and citing sentences
relations to other papers

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P abstract

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S sections
T body sentences
C citations
R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper

Original abstract

In the context of the global energy ecosystem transformation, we introduce a new approach to reduce the carbon emissions of the cloud-computing sector and, at the same time, foster the deployment of small-scale private photovoltaic plants. We consider the opportunity cost of moving some cloud services to private, distributed, solar-powered computing facilities. To this end, we compare the potential revenue of leasing computing resources to a cloud pool with the revenue obtained by selling the surplus energy to the grid. We first estimate the consumption of virtualized cloud computing instances, establishing a metric of computational efficiency per nominal photovoltaic power installed. Based on this metric and characterizing the site's annual solar production, we estimate the total return and payback. The results show that the model is economically viable and technically feasible. We finally depict the still many questions open, such as security, and the fundamental barriers to address, mainly related with a cloud model ruled by a few big players.

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