Correction Factors for Modeling Start-up Behavior of Process Heat Plants

Early-stage projects of solar heat plants rely on annual simulation models to inform decision-making processes, underscoring the critical need for accurate predictions of solar plant energy yield. To address this, a methodology has been developed to enhance the precision of heat production estimates in annual steady-state modeling by integrating dynamic effects through a heat-up factor. Parameters for a heat-up correction factor are derived from fully dynamic simulations of parabolic trough fields designed to supply process heat at 390 °C.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-01
DOI
https://doi.org/10.5281/zenodo.15749840
Primary Topic
Solar Thermal and Photovoltaic Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correction Factors for Modeling Start-up Behavior of Process Heat Plants

Zenodo (CERN European Organization for Nuclear Research)
Solar Thermal and Photovoltaic Systems
article

Correction Factors for Modeling Start-up Behavior of Process Heat Plants

article en

Abstract

Early-stage projects of solar heat plants rely on annual simulation models to inform decision-making processes, underscoring the critical need for accurate predictions of solar plant energy yield. To address this, a methodology has been developed to enhance the precision of heat production estimates in annual steady-state modeling by integrating dynamic effects through a heat-up factor. Parameters for a heat-up correction factor are derived from fully dynamic simulations of parabolic trough fields designed to supply process heat at 390 °C.

Zenodo (CERN European Organization for Nuclear Research)
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Universidad Politécnica de Madrid (ES)
Affordable and clean energy
Openalex Percentile: Top 74%
Solar Thermal and Photovoltaic Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.