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Cited by 358Building Energy and Comfort OptimizationSmart Grid Energy ManagementPhase Change Materials Research

The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.

Peak load shifting control using different cold thermal energy storage facilities in commercial buildings : a review

Sun, Yongjun, Wang, Shengwei, Xiao, Fu, Gao, Diance·2013·Energy Conversion and Management

Overview

Integrity signals

Registry

Crossref · 10.1016/j.enconman.2013.03.026

Cites

91 of 91 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 91 references

Research works printed but not linked: 11

  1. Xu P, Haves P, Zagreus L, Piette M. Demand shifting with thermal mass in large commercial buildings (field tests, simulation and results). Lawrence Berkeley National Laboratory; 2006. CEC-500-2006-009. · DOI
  2. Ma, 2012, Demand reduction in building energy systems based on economic model predictive control, Chem Eng Sci, 67, 92, 10.1016/j.ces.2011.07.052 · DOI · Paper page
  3. Potter, 1995, Study of operational experience with thermal storage systems, ASHRAE Trans, 101, 549
  4. Simmonds, 1994, A comparison of energy consumption for storage priority and chiller priority for ice-based thermal storage systems, ASHRAE Trans, 100, 1746
  5. Sohn, 1991, Field performance of an ice harvester storage cooling system, ASHRAE Trans, 97, 1187
  6. Watts, 2008, Energizing education, ASHRAE J, 50, 24
  7. Morgan, 2010, Field testing of optimal controls of passive and active thermal storage, ASHRAE Trans, 116, 134
  8. Liu, 2004, Impact of modeling accuracy on predictive optimal control of active and passive building thermal storage inventory, ASHRAE Trans, 110, 151
  9. Kissock JK, Hannig JM, Whitney TI, Drake ML. Testing and simulation of phase change wallboard for thermal storage in buildings. In: International solar energy conference, solar, engineering; 1998. p. 45–52.
  10. Kissock, 2006, Diurnal load reduction through phase-change building components, ASHRAE Trans, 112, 509
  11. Kondo, 2006, Research on thermal storage using rock wool phase-change material ceiling board, ASHRAE Trans, 112, 526

Cited by

Metadata

Authors
Sun, Y., Wang, S., Xiao, F., & Gao, D.
Affiliations
Hong Kong Polytechnic University (HK)
Corresponding author
Wang, Shengwei
Venue
Energy Conversion and Management
Publisher
Elsevier BV
Published
2013-07
Volume
71
Pages
101-114
ISSN
0196-8904 (ISSN-L)
OpenAlex
W2084834223
Cited by
358
References
91
Citations by year
2026: 20 · 2025: 21 · 2024: 30 · 2023: 24 · 2022: 35 · 2021: 37 · 2020: 38 · 2019: 33 · 2018: 19 · 2017: 41 · 2016: 21 · 2015: 21 · 2014: 13 · 2013: 5
FWCI
34.90
Type
journal article
Language
en
Open access
closed
Locations
  • Energy Conversion and Management (publishedVersion)
  • PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Mechanical Engineering › Phase Change Materials Research
Keywords
peak load shifting, peak demand management, cold energy storage, building thermal mass, thermal energy storage, phase change materials, commercial buildings, demand response

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.