Laura Alejandra Chia
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Laura Alejandra Chia has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Carlos Robles-Algarín
Facultad de Ingeniería, Universidad del Magdalena, Santa Marta 470004, Colombia
2 shared publications - John Alexander Taborda Giraldo
Facultad de Ingeniería, Universidad del Magdalena, Calle 29H3 No 22-01, Santa Marta 470004, Colombia
2 shared publications - Mario Callejas Cabarcas
Facultad de Ingeniería, Universidad del Magdalena, Santa Marta 470004, Colombia
2 shared publications - Victor Olivero-Ortiz
Facultad de Ingeniería, Universidad del Magdalena, Santa Marta 470004, Colombia
2 shared publications
Latest Publications
- Open Access
Towards Dynamic Life Cycle Assessment of Solar Energy Systems: An IoT Data Infrastructure with Hash-Chained Provenance and Stakeholder-Prioritised Indicators
Life cycle assessment (LCA) of photovoltaic systems rests largely on aggregated, time-invariant inventories. In Colombia, registered solar projects grew by 128.6% between 2018–2022 and 2022–2025, while environmental follow-up remains self-reported and semi-annual. We report IMPACT Energy.CO, a data infrastructure designed to enable dynamic LCA and installed in the production environment of the national hydrocarbons agency. It normalises heterogeneous telemetry onto a versioned vocabulary, hash-chains derived indicators and includes a headless openLCA connector. It was tested before the transfer and its telemetry path was exercised against a test instance only; no field telemetry has entered an inventory and no telemetry-to-openLCA run is evidenced, so the evidence supports an enabling proof of concept. Of 144 candidates, 32 indicators were screened; experts scored all 32 and communities 24. On fifteen shared social indicators, scored with non-equivalent instruments, the two rankings show no resolvable association (); in exploratory analysis the expert ranking is ordered by stakeholder category (Kendall’s ). Under an explicit criterion, energy and carbon payback time, ranked second and third by the experts, are the only screened environmental indicators an assessment engine cannot return as results. Re-scaling published values of the International Energy Agency Photovoltaic Power Systems Programme to Caribbean irradiance lowers the generation-normalised global warming potential of monocrystalline silicon modules by 32% (95% propagation interval 20–42%), and carbon payback varies three- to four-fold across official grid emission factors.Open AccessTowards Dynamic Life Cycle Assessment of Solar Energy Systems: An IoT Data Infrastructure with Hash-Chained Provenance and Stakeholder-Prioritised Indicators
Life cycle assessment (LCA) of photovoltaic systems rests largely on aggregated, time-invariant inventories. In Colombia, registered solar projects grew by 128.6% between 2018–2022 and 2022–2025, while environmental follow-up remains self-reported and semi-annual. We report IMPACT Energy.CO, a data infrastructure designed to enable dynamic LCA and installed in the production environment of the national hydrocarbons agency. It normalises heterogeneous telemetry onto a versioned vocabulary, hash-chains derived indicators and includes a headless openLCA connector. It was tested before the transfer and its telemetry path was exercised against a test instance only; no field telemetry has entered an inventory and no telemetry-to-openLCA run is evidenced, so the evidence supports an enabling proof of concept. Of 144 candidates, 32 indicators were screened; experts scored all 32 and communities 24. On fifteen shared social indicators, scored with non-equivalent instruments, the two rankings show no resolvable association (); in exploratory analysis the expert ranking is ordered by stakeholder category (Kendall’s ). Under an explicit criterion, energy and carbon payback time, ranked second and third by the experts, are the only screened environmental indicators an assessment engine cannot return as results. Re-scaling published values of the International Energy Agency Photovoltaic Power Systems Programme to Caribbean irradiance lowers the generation-normalised global warming potential of monocrystalline silicon modules by 32% (95% propagation interval 20–42%), and carbon payback varies three- to four-fold across official grid emission factors. - Open Access
- 10 September 2026
- Published by MDPI AG in Preprints.org
Enabling Dynamic Life Cycle Assessment of Solar Energy Systems: An IoT Data Infrastructure with Cryptographic Provenance and Community-Validated Indicators
Life cycle assessment of photovoltaic systems still rests on aggregated, time-invariant inventories. In Colombia, where registered solar projects grew 128.6% between 2018–2022 and 2022–2025, environmental follow-up is self-reported, semi-annual and unmeasured by the authority. We report IMPACT Energy.CO, an infrastructure running in that authority’s production environment, which normalises heterogeneous sensor telemetry onto a versioned canonical vocabulary, hash-chains every derived indicator, and drives openLCA headlessly. A matrix of 144 candidate indicators was screened to 32 and scored independently by external experts and by communities in Magdalena and Cesar. On fifteen shared social indicators the two rankings show no detectable association (Spearman’s ρ = −0.07), yet their disagreement is ordered by stakeholder category: communities move an indicator up in priority the further its category lies from the firm’s internal sphere, and down the closer it lies (Kendall’s τb = 0.63, p = 0.004, utility-scale track). Experts rank labour conduct highest; communities rank their own channels of recourse highest. Of seventeen environmental indicators exactly two—energy and carbon payback time—cannot be obtained as impact-assessment results, because both are defined on measured generation; experts ranked them second and third. Harmonising IEA PVPS figures to Colombian irradiance lowers the mono-Si global warming potential by 32%, and carbon payback time varies three-fold across grid emission factors published for the same year. Static inventories cannot deliver the indicators their own users rank highest.
- 10 September 2026
- Published by MDPI AG in Preprints.org
Open AccessEnabling Dynamic Life Cycle Assessment of Solar Energy Systems: An IoT Data Infrastructure with Cryptographic Provenance and Community-Validated Indicators
Life cycle assessment of photovoltaic systems still rests on aggregated, time-invariant inventories. In Colombia, where registered solar projects grew 128.6% between 2018–2022 and 2022–2025, environmental follow-up is self-reported, semi-annual and unmeasured by the authority. We report IMPACT Energy.CO, an infrastructure running in that authority’s production environment, which normalises heterogeneous sensor telemetry onto a versioned canonical vocabulary, hash-chains every derived indicator, and drives openLCA headlessly. A matrix of 144 candidate indicators was screened to 32 and scored independently by external experts and by communities in Magdalena and Cesar. On fifteen shared social indicators the two rankings show no detectable association (Spearman’s ρ = −0.07), yet their disagreement is ordered by stakeholder category: communities move an indicator up in priority the further its category lies from the firm’s internal sphere, and down the closer it lies (Kendall’s τb = 0.63, p = 0.004, utility-scale track). Experts rank labour conduct highest; communities rank their own channels of recourse highest. Of seventeen environmental indicators exactly two—energy and carbon payback time—cannot be obtained as impact-assessment results, because both are defined on measured generation; experts ranked them second and third. Harmonising IEA PVPS figures to Colombian irradiance lowers the mono-Si global warming potential by 32%, and carbon payback time varies three-fold across grid emission factors published for the same year. Static inventories cannot deliver the indicators their own users rank highest.